From 19f9e6b8bd7b96670e53ba83ad4a3965d5070b53 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Tue, 10 Mar 2026 08:21:57 +0530 Subject: [PATCH 01/62] fix: Dockerfile sdk path, add python-dotenv/fastapi deps, .env, README --- .env | 7 +++++++ Dockerfile | 2 +- README.md | 3 +++ pyproject.toml | 2 ++ 4 files changed, 13 insertions(+), 1 deletion(-) create mode 100644 .env create mode 100644 README.md diff --git a/.env b/.env new file mode 100644 index 0000000..9e5b15c --- /dev/null +++ b/.env @@ -0,0 +1,7 @@ +OPENROUTER_API_KEY=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 +AGENTFIELD_SERVER=http://localhost:9090 +HARNESS_PROVIDER=opencode +HARNESS_MODEL=openrouter/moonshotai/kimi-k2.5 +AI_MODEL=openrouter/moonshotai/kimi-k2.5 +GH_TOKEN=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 +GITHUB_TOKEN=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 diff --git a/Dockerfile b/Dockerfile index 0dbbce2..1370628 100644 --- a/Dockerfile +++ b/Dockerfile @@ -12,7 +12,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ COPY pyproject.toml README.md ./ COPY src/ src/ -COPY agentfield-sdk/ /tmp/agentfield-sdk/ +COPY .docker-sdk/ /tmp/agentfield-sdk/ RUN pip install --no-cache-dir --prefix=/install \ /tmp/agentfield-sdk/ \ diff --git a/README.md b/README.md new file mode 100644 index 0000000..736fd57 --- /dev/null +++ b/README.md @@ -0,0 +1,3 @@ +# PR-AF — AI-Native Pull Request Review Agent + +Multi-agent PR review system built on AgentField. Takes a GitHub PR URL and posts specific inline comments. diff --git a/pyproject.toml b/pyproject.toml index f31b874..c8b70c5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,6 +15,8 @@ dependencies = [ "pydantic>=2.0", "httpx>=0.27", "pyyaml>=6.0", + "python-dotenv>=1.0", + "fastapi>=0.100", ] [project.optional-dependencies] From c33497f3e6960778d2e0b6fb2498389202fcf2f0 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Tue, 10 Mar 2026 10:49:05 +0530 Subject: [PATCH 02/62] feat: recursive sub-reviews, GitHub comment posting, CP async execute MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Add recursive sub-review spawning with depth control (max_review_depth param) - Fix GitHub comment posting: path normalization, diff line range filtering - Add REQUEST_CHANGES → COMMENT fallback for own-PR token case - Fix CP async execute: wrap params under 'input' key - Add SubReviewRequest schema and _SubReviewRequest harness schema - Wire max_review_depth through ReviewInput → BudgetConfig → orchestrator - All 8 reasoners tracked in CP with VC generation (20 VCs per run) - Successfully posted 4 inline comments to pysktb PR #10 --- Dockerfile | 18 +- docker-compose.yml | 11 +- pyproject.toml | 2 +- src/pr_af/app.py | 33 ++-- src/pr_af/config.py | 56 ++----- src/pr_af/github/client.py | 35 ++-- src/pr_af/orchestrator.py | 213 +++++++++++++++++++----- src/pr_af/reasoners/harnesses.py | 277 +++++++++++++++++++++---------- src/pr_af/schemas/input.py | 1 + src/pr_af/schemas/pipeline.py | 26 ++- 10 files changed, 455 insertions(+), 217 deletions(-) diff --git a/Dockerfile b/Dockerfile index 1370628..0a8a35f 100644 --- a/Dockerfile +++ b/Dockerfile @@ -12,13 +12,14 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ COPY pyproject.toml README.md ./ COPY src/ src/ -COPY .docker-sdk/ /tmp/agentfield-sdk/ RUN pip install --no-cache-dir --prefix=/install \ - /tmp/agentfield-sdk/ \ + "agentfield" \ "pydantic>=2.0" \ "httpx>=0.27" \ - "python-dotenv>=1.0" && \ + "python-dotenv>=1.0" \ + "fastapi>=0.100" \ + "uvicorn>=0.20" && \ pip install --no-cache-dir --prefix=/install --no-deps . @@ -28,14 +29,12 @@ ENV PYTHONDONTWRITEBYTECODE=1 \ PYTHONUNBUFFERED=1 \ AGENTFIELD_SERVER=http://agentfield:8080 \ HARNESS_PROVIDER=opencode \ - HARNESS_MODEL=openrouter/minimax/minimax-m2.5 \ - AI_MODEL=openrouter/minimax/minimax-m2.5 \ + HARNESS_MODEL=openrouter/moonshotai/kimi-k2.5 \ + AI_MODEL=openrouter/moonshotai/kimi-k2.5 \ PORT=8004 \ HOME=/home/praf \ PYTHONPATH=/app/src \ - PATH=/home/praf/.opencode/bin:${PATH} \ - GITHUB_TOKEN= \ - GH_TOKEN= + PATH=/home/praf/.opencode/bin:${PATH} WORKDIR /app @@ -50,9 +49,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ chown -R praf:praf /app /workspaces /home/praf && \ rm -rf /var/lib/apt/lists/* -# Generate minimal opencode config for OpenRouter provider (no MCP servers) RUN mkdir -p /home/praf/.config/opencode && \ - echo '{"$schema":"https://opencode.ai/config.json","model":"openrouter/minimax/minimax-m2.5","small_model":"openrouter/minimax/minimax-m2.5","provider":{"openrouter":{"options":{"apiKey":"{env:OPENROUTER_API_KEY}"},"models":{"minimax/minimax-m2.5":{},"moonshotai/kimi-k2.5":{}}}}}' \ + echo '{"$schema":"https://opencode.ai/config.json","model":"openrouter/moonshotai/kimi-k2.5","small_model":"openrouter/moonshotai/kimi-k2.5","provider":{"openrouter":{"options":{"apiKey":"{env:OPENROUTER_API_KEY}"},"models":{"moonshotai/kimi-k2.5":{}}}}}' \ > /home/praf/.config/opencode/opencode.json && \ chown -R praf:praf /home/praf/.config diff --git a/docker-compose.yml b/docker-compose.yml index f677f33..2274e10 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,6 +1,7 @@ services: agentfield: - image: ghcr.io/agent-field/agentfield:latest + image: agentfield/control-plane:latest + pull_policy: always ports: - "8080:8080" environment: @@ -9,12 +10,6 @@ services: - AGENTFIELD_STORAGE_MODE=local volumes: - agentfield-data:/data - healthcheck: - test: ["CMD", "curl", "-f", "http://localhost:8080/health"] - interval: 30s - timeout: 5s - retries: 5 - start_period: 15s restart: unless-stopped pr-af: @@ -37,7 +32,7 @@ services: - pr-af-workspaces:/workspaces depends_on: agentfield: - condition: service_healthy + condition: service_started healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8004/health"] interval: 30s diff --git a/pyproject.toml b/pyproject.toml index c8b70c5..47e8277 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ license = "Apache-2.0" requires-python = ">=3.11" authors = [{ name = "AgentField", email = "hello@agentfield.dev" }] dependencies = [ - "agentfield>=0.1.0", + "agentfield", "pydantic>=2.0", "httpx>=0.27", "pyyaml>=6.0", diff --git a/src/pr_af/app.py b/src/pr_af/app.py index 64f3dc2..dc4cf14 100644 --- a/src/pr_af/app.py +++ b/src/pr_af/app.py @@ -51,12 +51,7 @@ def _resolve_repo(repo_path: str | None, pr_url: str | None) -> str: target = repo_path - if ( - not target - and isinstance(pr_url, str) - and "github.com" in pr_url - and "/pull/" in pr_url - ): + if not target and isinstance(pr_url, str) and "github.com" in pr_url and "/pull/" in pr_url: parts = pr_url.split("github.com/")[-1].split("/pull/")[0].strip("/") if parts.count("/") == 1: target = f"https://github.com/{parts}.git" @@ -69,7 +64,7 @@ def _resolve_repo(repo_path: str | None, pr_url: str | None) -> str: target_dir = f"/workspaces/{repo_name}" os.makedirs("/workspaces", exist_ok=True) - if os.path.isdir(target_dir): + if os.path.isdir(target_dir) and os.path.isdir(os.path.join(target_dir, ".git")): subprocess.run( ["git", "pull", "--ff-only"], cwd=target_dir, @@ -79,8 +74,13 @@ def _resolve_repo(repo_path: str | None, pr_url: str | None) -> str: ) return target_dir + clone_url = target + gh_token = os.getenv("GH_TOKEN") or os.getenv("GITHUB_TOKEN", "") + if gh_token and clone_url.startswith("https://github.com/"): + clone_url = clone_url.replace("https://github.com/", f"https://{gh_token}@github.com/") + result = subprocess.run( - ["git", "clone", "--depth", "1", target, target_dir], + ["git", "clone", "--depth", "1", clone_url, target_dir], env={**os.environ, "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo"}, timeout=120, capture_output=True, @@ -109,10 +109,15 @@ async def review( models: dict[str, str] | None = None, max_concurrent_reviewers: int | None = None, max_coverage_iterations: int | None = None, + max_review_depth: int = 2, output_format: str = "github", dry_run: bool = False, post_pr_number: int | None = None, ) -> dict[str, object]: + print( + f"[PR-AF DEBUG] review() called with pr_url={pr_url!r}, diff_text={'' if diff_text else None}, repo_path={repo_path!r}, depth={depth!r}, dry_run={dry_run!r}", + flush=True, + ) review_input = ReviewInput( pr_url=pr_url, diff_text=diff_text, @@ -128,6 +133,7 @@ async def review( models=models, max_concurrent_reviewers=max_concurrent_reviewers, max_coverage_iterations=max_coverage_iterations, + max_review_depth=min(max_review_depth, 3), output_format=output_format, dry_run=dry_run, post_pr_number=post_pr_number, @@ -142,12 +148,11 @@ async def review( except ValueError as exc: raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc except Exception as exc: - cast("Any", app).note( - f"Review pipeline failed: {exc}", tags=["review", "error"] - ) - raise HTTPException( - status_code=500, detail={"error": f"review execution failed: {exc}"} - ) from exc + import traceback as _tb + + print(f"[PR-AF] Pipeline error: {exc}\n{_tb.format_exc()}", flush=True) + cast("Any", app).note(f"Review pipeline failed: {exc}", tags=["review", "error"]) + raise HTTPException(status_code=500, detail={"error": f"review execution failed: {exc}"}) from exc return result.model_dump() diff --git a/src/pr_af/config.py b/src/pr_af/config.py index 576fce1..eabc5d7 100644 --- a/src/pr_af/config.py +++ b/src/pr_af/config.py @@ -53,6 +53,9 @@ class BudgetConfig(BaseModel): # Outer loop caps (pipeline) max_coverage_iterations: int = 2 + # Recursive sub-review depth (1=flat, 2=one sub-level, 3=max) + max_review_depth: int = 2 + class ModelConfig(BaseModel): """Model routing per agent. @@ -112,9 +115,7 @@ class ScoringConfig(BaseModel): class CommentConfig(BaseModel): """Comment formatting and posting preferences.""" - min_severity: str = ( - "suggestion" # Minimum severity to post (skip nitpicks by default) - ) + min_severity: str = "suggestion" # Minimum severity to post (skip nitpicks by default) max_comments: int = 25 # Cap inline comments to avoid overwhelming include_suggestions: bool = True # Include ```suggestion blocks include_dimension_attribution: bool = True # Show which dimension found it @@ -197,11 +198,10 @@ def from_input(cls, review_input: ReviewInput) -> ReviewConfig: config.budget.max_cost_usd = review_input.max_cost_usd config.budget.max_duration_seconds = review_input.max_duration_seconds if review_input.max_concurrent_reviewers is not None: - config.budget.max_concurrent_reviewers = ( - review_input.max_concurrent_reviewers - ) + config.budget.max_concurrent_reviewers = review_input.max_concurrent_reviewers if review_input.max_coverage_iterations is not None: config.budget.max_coverage_iterations = review_input.max_coverage_iterations + config.budget.max_review_depth = min(review_input.max_review_depth, 3) if review_input.models: for field_name, model_id in review_input.models.items(): @@ -209,9 +209,7 @@ def from_input(cls, review_input: ReviewInput) -> ReviewConfig: setattr(config.models, field_name, model_id) if review_input.ignore_paths: - config.ignore_paths = list( - set(config.ignore_paths + review_input.ignore_paths) - ) + config.ignore_paths = list(set(config.ignore_paths + review_input.ignore_paths)) if review_input.hints: config.hints = review_input.hints @@ -236,14 +234,10 @@ def from_yaml(cls, path: str) -> "ReviewConfig": class AIIntegrationConfig(BaseModel): provider: str = Field( - default_factory=lambda: os.getenv( - "PR_AF_PROVIDER", os.getenv("HARNESS_PROVIDER", "opencode") - ) + default_factory=lambda: os.getenv("PR_AF_PROVIDER", os.getenv("HARNESS_PROVIDER", "opencode")) ) harness_model: str = Field( - default_factory=lambda: os.getenv( - "PR_AF_MODEL", os.getenv("HARNESS_MODEL", "minimax/minimax-m2.5") - ) + default_factory=lambda: os.getenv("PR_AF_MODEL", os.getenv("HARNESS_MODEL", "minimax/minimax-m2.5")) ) ai_model: str = Field( default_factory=lambda: os.getenv( @@ -251,27 +245,15 @@ class AIIntegrationConfig(BaseModel): os.getenv("AI_MODEL", os.getenv("PR_AF_MODEL", "minimax/minimax-m2.5")), ) ) - max_turns: int = Field( - default_factory=lambda: int(os.getenv("PR_AF_MAX_TURNS", "50")) - ) - max_retries: int = Field( - default_factory=lambda: int(os.getenv("PR_AF_AI_MAX_RETRIES", "3")) - ) + max_turns: int = Field(default_factory=lambda: int(os.getenv("PR_AF_MAX_TURNS", "50"))) + max_retries: int = Field(default_factory=lambda: int(os.getenv("PR_AF_AI_MAX_RETRIES", "3"))) initial_backoff_seconds: float = Field( - default_factory=lambda: float( - os.getenv("PR_AF_AI_INITIAL_BACKOFF_SECONDS", "2.0") - ) - ) - max_backoff_seconds: float = Field( - default_factory=lambda: float(os.getenv("PR_AF_AI_MAX_BACKOFF_SECONDS", "8.0")) - ) - opencode_bin: str = Field( - default_factory=lambda: os.getenv("PR_AF_OPENCODE_BIN", "opencode") + default_factory=lambda: float(os.getenv("PR_AF_AI_INITIAL_BACKOFF_SECONDS", "2.0")) ) + max_backoff_seconds: float = Field(default_factory=lambda: float(os.getenv("PR_AF_AI_MAX_BACKOFF_SECONDS", "8.0"))) + opencode_bin: str = Field(default_factory=lambda: os.getenv("PR_AF_OPENCODE_BIN", "opencode")) opencode_server: str | None = Field( - default_factory=lambda: os.getenv( - "PR_AF_OPENCODE_SERVER", os.getenv("OPENCODE_SERVER") - ) + default_factory=lambda: os.getenv("PR_AF_OPENCODE_SERVER", os.getenv("OPENCODE_SERVER")) ) @classmethod @@ -287,12 +269,8 @@ def provider_env(self) -> dict[str, str]: "GITHUB_TOKEN", "GH_TOKEN", ) - env: dict[str, str] = { - key: value for key in env_keys if (value := os.getenv(key)) - } - xdg = os.getenv("XDG_DATA_HOME") or os.path.join( - tempfile.gettempdir(), "opencode-shared-data" - ) + env: dict[str, str] = {key: value for key in env_keys if (value := os.getenv(key))} + xdg = os.getenv("XDG_DATA_HOME") or os.path.join(tempfile.gettempdir(), "opencode-shared-data") os.makedirs(xdg, exist_ok=True) env["XDG_DATA_HOME"] = xdg return env diff --git a/src/pr_af/github/client.py b/src/pr_af/github/client.py index 22e0e07..ec1816e 100644 --- a/src/pr_af/github/client.py +++ b/src/pr_af/github/client.py @@ -106,11 +106,7 @@ async def fetch_pr(self, pr_url: str) -> GitHubPRData: number=number, title=pr_data.get("title", ""), description=pr_data.get("body") or "", - labels=[ - label.get("name", "") - for label in pr_data.get("labels", []) - if label.get("name") - ], + labels=[label.get("name", "") for label in pr_data.get("labels", []) if label.get("name")], author=pr_data.get("user", {}).get("login", ""), base_sha=pr_data.get("base", {}).get("sha", ""), head_sha=pr_data.get("head", {}).get("sha", ""), @@ -126,13 +122,17 @@ async def post_review( pr_number: int, review: GitHubReview, commit_sha: str = "", - ) -> None: + ) -> dict[str, object]: """Post a review with inline comments to a GitHub PR.""" payload: dict[str, object] = { "body": review.body, "event": review.event, - "commit_id": commit_sha, - "comments": [ + } + if commit_sha: + payload["commit_id"] = commit_sha + + if review.comments: + payload["comments"] = [ { "path": comment.path, "line": comment.line, @@ -140,16 +140,29 @@ async def post_review( "body": comment.body, } for comment in review.comments - ], - } + if comment.path and comment.line > 0 + ] + + print( + f"[PR-AF] Posting review to {owner}/{repo}#{pr_number}: " + f"event={review.event}, {len(review.comments)} comments, " + f"commit_sha={commit_sha[:12] if commit_sha else 'none'}", + flush=True, + ) - async with httpx.AsyncClient(timeout=30.0) as client: + async with httpx.AsyncClient(timeout=60.0) as client: response = await client.post( f"{self.base_url}/repos/{owner}/{repo}/pulls/{pr_number}/reviews", headers=self._headers(), json=payload, ) + if response.status_code >= 400: + error_body = response.text + print(f"[PR-AF] GitHub API error {response.status_code}: {error_body}", flush=True) response.raise_for_status() + result = response.json() + print(f"[PR-AF] Review posted successfully: id={result.get('id')}", flush=True) + return result async def clone_repo( self, diff --git a/src/pr_af/orchestrator.py b/src/pr_af/orchestrator.py index c3c8315..b43888d 100644 --- a/src/pr_af/orchestrator.py +++ b/src/pr_af/orchestrator.py @@ -16,9 +16,20 @@ from typing import Any, cast from uuid import uuid4 +import httpx + from .config import AUTO_DEPTH_THRESHOLDS, DEPTH_PROFILES, ReviewConfig from .diff_engine import parse_unified_diff from .github.client import GitHubClient +from .reasoners.harnesses import ( + adversary_phase, + anatomy_phase, + coverage_gate, + cross_ref_phase, + intake_phase, + planning_phase, + review_dimension, +) from .schemas.input import ChangedFile, GitHubPRData, ReviewInput from .schemas.output import ( GitHubComment, @@ -36,11 +47,10 @@ ReviewDimension, ReviewFinding, ReviewPlan, + SubReviewRequest, ) from .scoring import deduplicate_exact, determine_review_event, score_findings -NODE_ID = os.getenv("PR_AF", "pr-af") - class BudgetExhausted(RuntimeError): pass @@ -101,17 +111,28 @@ def __init__(self, app: Any, input: ReviewInput, config: ReviewConfig | None = N self.adversary_challenged_count = 0 async def run(self) -> ReviewResult: - """Execute the full 7-phase pipeline.""" + print("[PR-AF] Starting 7-phase pipeline", flush=True) + print("[PR-AF] Phase 1: INTAKE", flush=True) intake = await self._run_intake() self.intake_result = intake review_depth = self._resolve_depth(intake) + print( + f"[PR-AF] Intake complete: type={intake.pr_type}, complexity={intake.complexity}, depth={review_depth}", + flush=True, + ) + print("[PR-AF] Phase 2: ANATOMY", flush=True) anatomy = await self._run_anatomy(intake) self.anatomy_result = anatomy + print(f"[PR-AF] Anatomy complete: {len(anatomy.files)} files, {len(anatomy.clusters)} clusters", flush=True) + print("[PR-AF] Phase 3: PLANNING", flush=True) plan = await self._run_planning(intake, anatomy, review_depth) + print(f"[PR-AF] Planning complete: {len(plan.dimensions)} dimensions", flush=True) + + print("[PR-AF] Phase 4+5: REVIEW (parallel) + LAYER", flush=True) findings_queue: asyncio.Queue[list[ReviewFinding] | None] = asyncio.Queue() review_task = asyncio.create_task(self._run_parallel_review(plan, findings_queue)) @@ -120,6 +141,12 @@ async def run(self) -> ReviewResult: _, layer_result = await asyncio.gather(review_task, layer_task) all_findings, cross_refs, adversary_results = layer_result + print( + f"[PR-AF] Review+Layer done: {len(all_findings)} findings, {len(cross_refs)} cross-refs, {len(adversary_results)} adversary results", + flush=True, + ) + + print("[PR-AF] Phase 6: COVERAGE LOOP", flush=True) all_findings, cross_refs, adversary_results = await self._run_coverage_loop( plan, anatomy, all_findings, cross_refs, adversary_results ) @@ -127,9 +154,16 @@ async def run(self) -> ReviewResult: self.adversary_challenged_count = sum(1 for result in adversary_results if result.verdict == "challenged") self.adversary_confirmed_count = sum(1 for result in adversary_results if result.verdict == "confirmed") + print("[PR-AF] Phase 7: SYNTHESIS", flush=True) scored_findings = self._synthesize(all_findings, cross_refs, adversary_results) + print(f"[PR-AF] Synthesis complete: {len(scored_findings)} scored findings", flush=True) + print("[PR-AF] Phase 8: OUTPUT", flush=True) result = await self._generate_output(scored_findings, intake, anatomy, plan) + print( + f"[PR-AF] Pipeline complete! {result.summary.total_findings} findings, cost=${result.summary.cost_usd}", + flush=True, + ) return result @@ -170,14 +204,13 @@ async def _run_intake(self) -> IntakeResult: else: raise ValueError("One of pr_url, diff_text, or repo_path is required") - result_raw = await self.app.call( - f"{NODE_ID}.intake_phase", + result_raw = await intake_phase( pr_data=self.pr_data.model_dump(), depth=self.input.depth, ) self.agent_invocations += 1 self._register_cost("intake", self._extract_cost(result_raw)) - intake = IntakeResult.model_validate(_unwrap(result_raw)) + intake = IntakeResult.model_validate(result_raw) return intake async def _run_anatomy(self, intake: IntakeResult) -> AnatomyResult: @@ -186,23 +219,21 @@ async def _run_anatomy(self, intake: IntakeResult) -> AnatomyResult: if self.pr_data is None: raise RuntimeError("PR data not initialized") - result_raw = await self.app.call( - f"{NODE_ID}.anatomy_phase", + result_raw = await anatomy_phase( pr_data=self.pr_data.model_dump(), intake=intake.model_dump(), repo_path=self.input.repo_path or "", ) self.agent_invocations += 1 self._register_cost("anatomy", self._extract_cost(result_raw)) - anatomy = AnatomyResult.model_validate(_unwrap(result_raw)) + anatomy = AnatomyResult.model_validate(result_raw) return anatomy async def _run_planning(self, intake: IntakeResult, anatomy: AnatomyResult, review_depth: str) -> ReviewPlan: if self._budget_or_timeout_exhausted("planning"): raise BudgetExhausted("Budget exhausted before planning") - result_raw = await self.app.call( - f"{NODE_ID}.planning_phase", + result_raw = await planning_phase( intake=intake.model_dump(), anatomy=anatomy.model_dump(), depth=review_depth, @@ -210,7 +241,7 @@ async def _run_planning(self, intake: IntakeResult, anatomy: AnatomyResult, revi ) self.agent_invocations += 1 self._register_cost("planning", self._extract_cost(result_raw)) - plan = ReviewPlan.model_validate(_unwrap(result_raw)) + plan = ReviewPlan.model_validate(result_raw) depth_profile = DEPTH_PROFILES.get(review_depth) if depth_profile and len(plan.dimensions) > depth_profile.max_dimensions: @@ -222,32 +253,71 @@ async def _run_parallel_review( self, plan: ReviewPlan, findings_queue: asyncio.Queue[list[ReviewFinding] | None], + current_depth: int = 0, ) -> None: + max_depth = self.config.budget.max_review_depth semaphore = asyncio.Semaphore(self.config.budget.max_concurrent_reviewers) - async def run_dimension(dim: ReviewDimension) -> None: + async def run_dimension(dim: ReviewDimension, depth: int) -> None: if self._budget_or_timeout_exhausted("review"): return async with semaphore: - result_raw = await self.app.call( - f"{NODE_ID}.review_dimension", + result_raw = await review_dimension( review_prompt=dim.review_prompt, target_files=dim.target_files, context_files=dim.context_files, repo_path=self.input.repo_path or "", + current_depth=depth, + max_depth=max_depth, ) self.agent_invocations += 1 self._register_cost("review", self._extract_cost(result_raw)) findings = self._extract_findings(result_raw, dim) await findings_queue.put(findings) + sub_reviews = self._extract_sub_reviews(result_raw, dim) + if sub_reviews and depth < max_depth and not self._budget_or_timeout_exhausted("review"): + print( + f"[PR-AF] Dimension '{dim.name}' spawned {len(sub_reviews)} sub-review(s) at depth {depth + 1}/{max_depth}", + flush=True, + ) + sub_tasks = [run_dimension(sub_dim, depth + 1) for sub_dim in sub_reviews] + await asyncio.gather(*sub_tasks) + try: - tasks = [run_dimension(dim) for dim in plan.dimensions] + tasks = [run_dimension(dim, current_depth) for dim in plan.dimensions] if tasks: await asyncio.gather(*tasks) finally: await findings_queue.put(None) + def _extract_sub_reviews(self, result_raw: object, parent_dim: ReviewDimension) -> list[ReviewDimension]: + payload = _unwrap(result_raw) + if not isinstance(payload, dict): + return [] + raw_subs = payload.get("sub_reviews", []) + if not isinstance(raw_subs, list): + return [] + dims: list[ReviewDimension] = [] + for idx, sub in enumerate(raw_subs[:2]): + if not isinstance(sub, dict): + continue + prompt = sub.get("review_prompt", "") + targets = sub.get("target_files", []) + if not prompt or not targets: + continue + dims.append( + ReviewDimension( + id=f"{parent_dim.id}_sub{idx}", + name=f"{parent_dim.name} → {sub.get('reason', 'deep-dive')[:40]}", + review_prompt=prompt, + target_files=targets, + context_files=sub.get("context_files", []), + priority=parent_dim.priority, + ) + ) + return dims + async def _run_review_layer( self, plan: ReviewPlan, @@ -265,8 +335,7 @@ async def _run_review_layer( adversary_results: list[AdversaryResult] = [] if all_findings and not self._budget_or_timeout_exhausted("cross_ref"): - cross_raw = await self.app.call( - f"{NODE_ID}.cross_ref_phase", + cross_raw = await cross_ref_phase( findings=[f.model_dump() for f in all_findings], cross_ref_hints=plan.cross_ref_hints, ) @@ -275,8 +344,7 @@ async def _run_review_layer( cross_refs = self._extract_cross_refs(cross_raw) if all_findings and not self._budget_or_timeout_exhausted("adversary"): - adversary_raw = await self.app.call( - f"{NODE_ID}.adversary_phase", + adversary_raw = await adversary_phase( findings=[f.model_dump() for f in all_findings], ai_generated_confidence=self.intake_result.ai_generated if self.intake_result else 0.0, ) @@ -299,14 +367,13 @@ async def _run_coverage_loop( break reviewed_clusters = self._reviewed_clusters(anatomy, findings) - gate_raw = await self.app.call( - f"{NODE_ID}.coverage_gate", + gate_raw = await coverage_gate( anatomy=anatomy.model_dump(), reviewed_clusters=reviewed_clusters, ) self.agent_invocations += 1 self._register_cost("coverage", self._extract_cost(gate_raw)) - gate = _unwrap(gate_raw) + gate = gate_raw if isinstance(gate_raw, dict) else {} fully_covered = bool(gate.get("fully_covered", False)) confident = bool(gate.get("confident", True)) gap_descriptions = cast(list[str], gate.get("gap_descriptions", [])) @@ -335,8 +402,7 @@ async def _run_coverage_loop( findings.extend(batch) if findings and not self._budget_or_timeout_exhausted("cross_ref"): - cross_raw = await self.app.call( - f"{NODE_ID}.cross_ref_phase", + cross_raw = await cross_ref_phase( findings=[f.model_dump() for f in findings], cross_ref_hints=plan.cross_ref_hints, ) @@ -345,8 +411,7 @@ async def _run_coverage_loop( cross_refs = self._extract_cross_refs(cross_raw) if findings and not self._budget_or_timeout_exhausted("adversary"): - adversary_raw = await self.app.call( - f"{NODE_ID}.adversary_phase", + adversary_raw = await adversary_phase( findings=[f.model_dump() for f in findings], ai_generated_confidence=self.intake_result.ai_generated if self.intake_result else 0.0, ) @@ -373,6 +438,42 @@ def _synthesize( ) return scored[: self.config.comments.max_comments] + def _normalize_path(self, path: str) -> str: + if not path: + return path + repo_path = self.input.repo_path or "" + if repo_path and path.startswith(repo_path): + path = path[len(repo_path) :].lstrip("/") + if path.startswith("/workspaces/"): + parts = path.split("/", 3) + if len(parts) >= 4: + path = parts[3] + return path + + def _diff_line_ranges(self) -> dict[str, list[tuple[int, int]]]: + if not self.pr_data: + return {} + ranges: dict[str, list[tuple[int, int]]] = {} + for cf in self.pr_data.changed_files: + if not cf.patch: + ranges[cf.path] = [(1, 999999)] + continue + file_ranges: list[tuple[int, int]] = [] + for line in cf.patch.split("\n"): + if line.startswith("@@"): + import re + + match = re.search(r"\+(\d+)(?:,(\d+))?", line) + if match: + start = int(match.group(1)) + count = int(match.group(2) or "1") + file_ranges.append((start, start + count)) + if file_ranges: + ranges[cf.path] = file_ranges + else: + ranges[cf.path] = [(1, 999999)] + return ranges + async def _generate_output( self, scored_findings: list[ScoredFinding], @@ -383,6 +484,9 @@ async def _generate_output( if self.pr_data is None: raise RuntimeError("PR data not initialized") + diff_files = {cf.path for cf in self.pr_data.changed_files} + diff_ranges = self._diff_line_ranges() + severity_rank = {"nitpick": 0, "suggestion": 1, "important": 2, "critical": 3} min_rank = severity_rank.get(self.config.comments.min_severity, 1) @@ -392,15 +496,21 @@ async def _generate_output( if severity_rank.get(finding.severity, 0) < min_rank: continue filtered_for_comments.append(finding) - if finding.file_path and finding.line_start > 0: - comments.append( - GitHubComment( - path=finding.file_path, - line=finding.line_start, - side=finding.diff_side, - body=self._format_comment_body(finding), - ) + norm_path = self._normalize_path(finding.file_path) + if not norm_path or norm_path not in diff_files or finding.line_start <= 0: + continue + ranges = diff_ranges.get(norm_path, []) + in_range = any(start <= finding.line_start <= end for start, end in ranges) + if not in_range: + continue + comments.append( + GitHubComment( + path=norm_path, + line=finding.line_start, + side=finding.diff_side, + body=self._format_comment_body(finding), ) + ) comments = comments[: self.config.comments.max_comments] review_event = determine_review_event(filtered_for_comments) @@ -426,8 +536,37 @@ async def _generate_output( review=review, commit_sha=self.pr_data.head_sha, ) - except NotImplementedError: - pass + print( + f"[PR-AF] Posted review to {self.pr_data.owner}/{self.pr_data.repo}#{self.pr_data.number}", + flush=True, + ) + except httpx.HTTPStatusError as exc: + # GitHub returns 422 when requesting changes on own PR — retry with COMMENT + if exc.response.status_code == 422 and "own pull request" in exc.response.text.lower(): + print("[PR-AF] Cannot request changes on own PR, retrying with COMMENT event", flush=True) + review_fallback = GitHubReview( + body=summary_body, + event="COMMENT", + comments=comments, + ) + try: + await client.post_review( + owner=self.pr_data.owner, + repo=self.pr_data.repo, + pr_number=self.pr_data.number, + review=review_fallback, + commit_sha=self.pr_data.head_sha, + ) + print( + f"[PR-AF] Posted review (COMMENT) to {self.pr_data.owner}/{self.pr_data.repo}#{self.pr_data.number}", + flush=True, + ) + except Exception as retry_exc: + print(f"[PR-AF] Failed to post review on retry: {retry_exc}", flush=True) + else: + print(f"[PR-AF] Failed to post review: {exc}", flush=True) + except Exception as exc: + print(f"[PR-AF] Failed to post review: {exc}", flush=True) by_severity: dict[str, int] = {} for finding in scored_findings: diff --git a/src/pr_af/reasoners/harnesses.py b/src/pr_af/reasoners/harnesses.py index 6061ac3..59862d6 100644 --- a/src/pr_af/reasoners/harnesses.py +++ b/src/pr_af/reasoners/harnesses.py @@ -18,19 +18,29 @@ ReviewDimension, ReviewFinding, ReviewPlan, + SubReviewRequest, ) class _AnatomySemanticResult(BaseModel): - pr_narrative: str + pr_narrative: str = "" risk_surfaces: list[str] = Field(default_factory=list) unrelated_changes: list[str] = Field(default_factory=list) intent_gaps: list[str] = Field(default_factory=list) context_notes: str = "" +class _SubReviewRequest(BaseModel): + reason: str = "" + review_prompt: str = "" + target_files: list[str] = Field(default_factory=list) + context_files: list[str] = Field(default_factory=list) + priority: int = 1 + + class _ReviewFindingsResult(BaseModel): findings: list[ReviewFinding] = Field(default_factory=list) + sub_reviews: list[_SubReviewRequest] = Field(default_factory=list) class _CrossRefResult(BaseModel): @@ -193,21 +203,24 @@ async def intake_phase(pr_data: dict, depth: str = "standard") -> dict: pr = GitHubPRData.model_validate(pr_data) files_changed = len(pr.changed_files) languages = _extract_languages(pr) + import json as _json - gate_result = await router.app.ai( - prompt=( - "Classify this pull request from metadata and diff footprint. " - "Return pr_type, complexity, and confident only." - ), - input={ + ai_input = _json.dumps( + { "title": pr.title, - "description": pr.description, + "description": (pr.description or "")[:500], "labels": pr.labels, "author": pr.author, "files_changed": files_changed, "languages": languages, - "commit_messages": pr.commit_messages, + "commit_messages": pr.commit_messages[:5], }, + default=str, + ) + + gate_result = await router.app.ai( + f"Classify this pull request from metadata and diff footprint.\n\n{ai_input}", + system="Return pr_type, complexity, and confident only. Use the provided schema.", schema=IntakeGate, ) @@ -226,24 +239,29 @@ async def intake_phase(pr_data: dict, depth: str = "standard") -> dict: ) return intake_result.model_dump() - fallback_result = await router.app.harness( - prompt=( - "Perform deep intake classification for this pull request. " - "Infer PR type, complexity, touched areas, risk signals, AI-generation confidence, " - "and an accurate short PR summary for downstream reviewers." - ), - input={ - "pr_data": pr.model_dump(), + fallback_input = _json.dumps( + { + "pr_title": pr.title, + "description": (pr.description or "")[:1000], "requested_depth": depth, - "language_hints": languages, + "languages": languages, + "files_changed": files_changed, }, + default=str, + ) + fallback_result = await router.app.harness( + f"Perform deep intake classification for this pull request. " + f"Infer PR type, complexity, touched areas, risk signals, AI-generation confidence, " + f"and an accurate short PR summary for downstream reviewers.\n\n{fallback_input}", schema=IntakeResult, ) - return fallback_result.model_dump() + return fallback_result.parsed.model_dump() if fallback_result.parsed else {} @router.reasoner() async def anatomy_phase(pr_data: dict, intake: dict, repo_path: str = "") -> dict: + import json as _json + pr = GitHubPRData.model_validate(pr_data) intake_result = IntakeResult.model_validate(intake) @@ -256,65 +274,81 @@ async def anatomy_phase(pr_data: dict, intake: dict, repo_path: str = "") -> dic changed_paths = [file.path for file in files] blast_radius = compute_blast_radius(changed_paths, repo_path) - semantic = await router.app.harness( - prompt=( - "Analyze the pull request semantically. Explain what changed and why, identify risk surfaces, " - "call out unrelated changes, and detect intent gaps between PR description and actual diff." - ), - input={ - "intake": intake_result.model_dump(), - "pr_metadata": { - "title": pr.title, - "description": pr.description, - "labels": pr.labels, - "commit_messages": pr.commit_messages, + context = _json.dumps( + { + "intake": { + "pr_type": intake_result.pr_type, + "complexity": intake_result.complexity, + "pr_summary": intake_result.pr_summary, }, - "files": [file.model_dump() for file in files], + "pr_metadata": {"title": pr.title, "description": (pr.description or "")[:500], "labels": pr.labels}, "clusters": _cluster_descriptions(clusters), "stats": stats.model_dump(), - "blast_radius": blast_radius, + "blast_radius_count": len(blast_radius), + "files_changed": [ + {"path": f.path, "status": f.status, "lines_added": f.lines_added, "lines_removed": f.lines_removed} + for f in files[:30] + ], }, + default=str, + ) + semantic = await router.app.harness( + f"Analyze the pull request semantically. Explain what changed and why, identify risk surfaces, " + f"call out unrelated changes, and detect intent gaps between PR description and actual diff.\n\n{context}", schema=_AnatomySemanticResult, - cwd=repo_path, + cwd=repo_path or None, ) + parsed = semantic.parsed if semantic.parsed else _AnatomySemanticResult() anatomy_result = AnatomyResult( files=files, clusters=clusters, blast_radius=blast_radius, dependency_graph={}, stats=stats, - pr_narrative=semantic.pr_narrative, - risk_surfaces=semantic.risk_surfaces, - unrelated_changes=semantic.unrelated_changes, - intent_gaps=semantic.intent_gaps, - context_notes=semantic.context_notes, + pr_narrative=parsed.pr_narrative, + risk_surfaces=parsed.risk_surfaces, + unrelated_changes=parsed.unrelated_changes, + intent_gaps=parsed.intent_gaps, + context_notes=parsed.context_notes, ) return anatomy_result.model_dump() @router.reasoner() async def planning_phase(intake: dict, anatomy: dict, depth: str = "standard", hints: list[str] | None = None) -> dict: + import json as _json + intake_result = IntakeResult.model_validate(intake) anatomy_result = AnatomyResult.model_validate(anatomy) planner_hints = hints or [] - plan = await router.app.harness( - prompt=( - "Create a dynamic review plan for this PR. Do not use fixed reviewer templates. " - "Generate review dimensions based on intake and anatomy, with clear target files and context files. " - "Each dimension must include a concrete review_prompt that another reviewer can execute directly. " - "Balance depth with the requested review depth and prioritize highest-risk dimensions first." - ), - input={ - "intake": intake_result.model_dump(), - "anatomy": anatomy_result.model_dump(), + context = _json.dumps( + { + "intake": { + "pr_type": intake_result.pr_type, + "complexity": intake_result.complexity, + "pr_summary": intake_result.pr_summary, + "areas_touched": intake_result.areas_touched, + "risk_signals": intake_result.risk_signals, + }, + "clusters": _cluster_descriptions(anatomy_result.clusters), + "risk_surfaces": anatomy_result.risk_surfaces, + "pr_narrative": anatomy_result.pr_narrative, "depth": depth, "hints": planner_hints, + "file_paths": [f.path for f in anatomy_result.files[:30]], }, + default=str, + ) + plan_result = await router.app.harness( + f"Create a dynamic review plan for this PR. Do not use fixed reviewer templates. " + f"Generate review dimensions based on intake and anatomy, with clear target files and context files. " + f"Each dimension must include a concrete review_prompt that another reviewer can execute directly. " + f"Balance depth with the requested review depth and prioritize highest-risk dimensions first.\n\n{context}", schema=ReviewPlan, ) - return plan.model_dump() + return plan_result.parsed.model_dump() if plan_result.parsed else {"dimensions": [], "cross_ref_hints": []} @router.reasoner() @@ -323,67 +357,132 @@ async def review_dimension( target_files: list[str], context_files: list[str] | None = None, repo_path: str = "", + current_depth: int = 0, + max_depth: int = 2, ) -> dict: - context = context_files or [] + ctx_files = context_files or [] + can_spawn = current_depth < max_depth + + spawn_instruction = "" + if can_spawn: + spawn_instruction = ( + "\n\nSUB-REVIEW SPAWNING: You may request deeper sub-reviews for areas that need " + "specialized investigation beyond your current scope. Only request a sub-review when:\n" + "- You found a complex issue that requires reading additional files not in your target list\n" + "- A finding reveals a pattern that may repeat across other files\n" + "- You suspect a security/correctness issue but lack context to confirm it\n" + f"Current depth: {current_depth}/{max_depth}. " + f"You have {max_depth - current_depth} level(s) of sub-review remaining. " + "Do NOT request sub-reviews for trivial issues or things you can resolve yourself. " + "Maximum 2 sub-reviews per dimension." + ) + else: + spawn_instruction = ( + "\n\nYou are at maximum review depth. Do NOT request any sub-reviews. " + "Report all findings directly, even if uncertain." + ) + + prompt = ( + f"Execute the following review dimension.\n\n" + f"Review prompt: {review_prompt}\n\n" + f"Target files: {', '.join(target_files)}\n" + f"Context files: {', '.join(ctx_files) if ctx_files else 'none'}\n\n" + f"Inspect target files deeply, use context files as needed, and return structured findings." + f"{spawn_instruction}" + ) result = await router.app.harness( - prompt=( - "Execute one review dimension using the provided review prompt. " - "Inspect target files deeply, use context files as needed, and return structured findings only." - ), - input={ - "review_prompt": review_prompt, - "target_files": target_files, - "context_files": context, - }, + prompt, schema=_ReviewFindingsResult, - cwd=repo_path, + cwd=repo_path or None, ) - return {"findings": [finding.model_dump() for finding in result.findings]} + parsed = result.parsed if result.parsed else _ReviewFindingsResult() + sub_review_dicts = [] + if can_spawn and parsed.sub_reviews: + sub_review_dicts = [ + { + "reason": sr.reason, + "review_prompt": sr.review_prompt, + "target_files": sr.target_files, + "context_files": sr.context_files, + "priority": sr.priority, + } + for sr in parsed.sub_reviews[:2] + if sr.review_prompt and sr.target_files + ] + return { + "findings": [finding.model_dump() for finding in parsed.findings], + "sub_reviews": sub_review_dicts, + "current_depth": current_depth, + } @router.reasoner() async def cross_ref_phase(findings: list[dict], cross_ref_hints: list[str] | None = None) -> dict: + import json as _json + hints = cross_ref_hints or [] validated_findings = [ReviewFinding.model_validate(finding) for finding in findings] + findings_summary = _json.dumps( + [ + { + "title": f.title, + "severity": f.severity, + "file_path": f.file_path, + "dimension_name": f.dimension_name, + "body": f.body[:200], + } + for f in validated_findings[:20] + ], + default=str, + ) result = await router.app.harness( - prompt=( - "Analyze interactions across findings from different review dimensions. " - "Identify compound risks, assumption violations, and consistency gaps." - ), - input={ - "findings": [finding.model_dump() for finding in validated_findings], - "cross_ref_hints": hints, - }, + f"Analyze interactions across findings from different review dimensions. " + f"Identify compound risks, assumption violations, and consistency gaps.\n\n" + f"Findings:\n{findings_summary}\n\nHints: {hints if hints else 'none'}", schema=_CrossRefResult, ) - return {"interactions": [interaction.model_dump() for interaction in result.interactions]} + parsed = result.parsed if result.parsed else _CrossRefResult() + return {"interactions": [interaction.model_dump() for interaction in parsed.interactions]} @router.reasoner() async def adversary_phase(findings: list[dict], ai_generated_confidence: float = 0.0) -> dict: + import json as _json + validated_findings = [ReviewFinding.model_validate(finding) for finding in findings] skepticism = "standard" if ai_generated_confidence > 0.5: skepticism = "high" + findings_summary = _json.dumps( + [ + { + "title": f.title, + "severity": f.severity, + "file_path": f.file_path, + "body": f.body[:200], + "confidence": f.confidence, + } + for f in validated_findings[:20] + ], + default=str, + ) result = await router.app.harness( - prompt=( - "Challenge each finding adversarially. Look for false positives, over-claimed severity, " - "and hidden traps that reviewers may have missed." - ), - input={ - "findings": [finding.model_dump() for finding in validated_findings], - "ai_generated_confidence": ai_generated_confidence, - "skepticism_mode": skepticism, - }, + f"Challenge each finding adversarially. Look for false positives, over-claimed severity, " + f"and hidden traps that reviewers may have missed.\n\n" + f"Skepticism mode: {skepticism}\nAI-generated confidence: {ai_generated_confidence}\n\n" + f"Findings:\n{findings_summary}", schema=_AdversaryPhaseResult, ) - return {"results": [item.model_dump() for item in result.results]} + parsed = result.parsed if result.parsed else _AdversaryPhaseResult() + return {"results": [item.model_dump() for item in parsed.results]} @router.reasoner() async def coverage_gate(anatomy: dict, reviewed_clusters: list[str]) -> dict: + import json as _json + anatomy_result = AnatomyResult.model_validate(anatomy) cluster_payload = [ { @@ -395,17 +494,19 @@ async def coverage_gate(anatomy: dict, reviewed_clusters: list[str]) -> dict: for cluster in anatomy_result.clusters ] - gate = await router.app.ai( - prompt=( - "Determine whether review coverage is complete. " - "Compare reviewed cluster identifiers against all change clusters. " - "If gaps exist, return concise gap_descriptions." - ), - input={ + context = _json.dumps( + { "all_clusters": cluster_payload, "reviewed_clusters": reviewed_clusters, "risk_surfaces": anatomy_result.risk_surfaces, }, + default=str, + ) + gate = await router.app.ai( + f"Determine whether review coverage is complete. " + f"Compare reviewed cluster identifiers against all change clusters. " + f"If gaps exist, return concise gap_descriptions.\n\n{context}", + system="Analyze the coverage state and return the structured result.", schema=CoverageGate, ) return gate.model_dump() diff --git a/src/pr_af/schemas/input.py b/src/pr_af/schemas/input.py index b8142e6..9a48c96 100644 --- a/src/pr_af/schemas/input.py +++ b/src/pr_af/schemas/input.py @@ -39,6 +39,7 @@ class ReviewInput(BaseModel): # Budget overrides max_concurrent_reviewers: int | None = None max_coverage_iterations: int | None = None + max_review_depth: int = 2 # Max recursive sub-review depth (1=flat, 2=one sub-level, 3=max) # Output output_format: str = "github" # github | json | sarif | markdown diff --git a/src/pr_af/schemas/pipeline.py b/src/pr_af/schemas/pipeline.py index a738280..b18494e 100644 --- a/src/pr_af/schemas/pipeline.py +++ b/src/pr_af/schemas/pipeline.py @@ -127,20 +127,30 @@ class ReviewDimension(BaseModel): name: str # Human-readable name (attributed in comments) review_prompt: str # Dynamically crafted prompt (string — consumed by reviewer LLM) target_files: list[str] # Files this reviewer must examine - context_files: list[str] = Field( - default_factory=list - ) # Additional files for reference + context_files: list[str] = Field(default_factory=list) # Additional files for reference priority: int = 1 # Higher = more important = gets budget first budget: BudgetAllocation = Field(default_factory=BudgetAllocation) +class SubReviewRequest(BaseModel): + """A request from a reviewer to spawn a deeper sub-review on a specific area. + + Reviewers emit these when they discover a complex area that requires + specialized deeper analysis beyond their current scope. + """ + + reason: str # Why this sub-review is needed + review_prompt: str # Crafted prompt for the child reviewer + target_files: list[str] # Files the child should inspect + context_files: list[str] = Field(default_factory=list) + priority: int = 1 + + class ReviewPlan(BaseModel): """Phase 3 output. The planner's complete review strategy.""" dimensions: list[ReviewDimension] - cross_ref_hints: list[str] = Field( - default_factory=list - ) # Suspected interactions (string for LLM) + cross_ref_hints: list[str] = Field(default_factory=list) # Suspected interactions (string for LLM) ai_adjusted: bool = False # Whether plan was adjusted for AI-generated code total_budget: BudgetAllocation = Field(default_factory=BudgetAllocation) @@ -166,9 +176,7 @@ class ReviewFinding(BaseModel): suggestion: str | None = None # Concrete fix (code block) evidence: str = "" # Code references that support this finding confidence: float = 0.5 - tags: list[str] = Field( - default_factory=list - ) # Machine-readable: security, correctness, etc. + tags: list[str] = Field(default_factory=list) # Machine-readable: security, correctness, etc. # --------------------------------------------------------------------------- From 8067003af0c608090bcf9731d1a7b2c298b23ccf Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Tue, 10 Mar 2026 12:31:31 +0530 Subject: [PATCH 03/62] feat: improve inline comment formatting, restructure PR summary layout - Rewrite _format_comment_body: multiline evidence as blockquotes, suggestion mode 'comment' renders as plain text (not confusing commented-out code), simplified metadata line - Rewrite _format_summary: overall rating/grade at top, AgentField branding at top, PR overview in collapsible section, key findings with blocking/non-blocking split, all findings by severity (collapsible), review process details (collapsible), pipeline stats (collapsible), normal-sized footer - Add _compute_rating, _build_key_findings, _build_review_details, _build_pipeline_stats helpers - Lower min_severity default to 'nitpick', reduce confidence thresholds, raise max_duration_seconds to 1800s - Add severity calibration guidance to reviewer harness prompt - Add suggestion_mode toggle ('comment' default vs 'code') - Fix PR branch checkout for new files in diff - Docker: shared workspace volume, XDG_DATA_HOME persistence --- .docker-sdk/agentfield/agent.py | 464 +++++++++---------------------- Dockerfile | 6 +- docker-compose.yml | 4 + src/pr_af/app.py | 69 +++-- src/pr_af/config.py | 16 +- src/pr_af/orchestrator.py | 320 +++++++++++++++++++-- src/pr_af/reasoners/harnesses.py | 19 +- src/pr_af/schemas/input.py | 3 + 8 files changed, 521 insertions(+), 380 deletions(-) diff --git a/.docker-sdk/agentfield/agent.py b/.docker-sdk/agentfield/agent.py index a4a33f9..fc03075 100644 --- a/.docker-sdk/agentfield/agent.py +++ b/.docker-sdk/agentfield/agent.py @@ -124,9 +124,7 @@ def _detect_container_ip() -> Optional[str]: # Try AWS metadata service try: - response = requests.get( - "http://169.254.169.254/latest/meta-data/public-ipv4", timeout=2 - ) + response = requests.get("http://169.254.169.254/latest/meta-data/public-ipv4", timeout=2) if response.status_code == 200: return response.text.strip() except Exception: @@ -205,11 +203,7 @@ def _is_running_in_container() -> bool: try: with open("/proc/1/cgroup", "r") as f: content = f.read() - if ( - "docker" in content - or "containerd" in content - or "kubepods" in content - ): + if "docker" in content or "containerd" in content or "kubepods" in content: return True except Exception: pass @@ -275,9 +269,7 @@ def _normalize_candidate(candidate: str, port: int) -> Optional[str]: return f"{scheme}://{netloc}" -def _build_callback_candidates( - callback_url: Optional[str], port: int, *, include_defaults: bool = True -) -> List[str]: +def _build_callback_candidates(callback_url: Optional[str], port: int, *, include_defaults: bool = True) -> List[str]: """Assemble a prioritized list of callback URL candidates.""" candidates: List[str] = [] @@ -580,9 +572,7 @@ def __init__( self._heartbeat_stop_event = threading.Event() self.dev_mode = dev_mode self.agentfield_connected = False - self.auto_register = ( - auto_register # Auto-register on first invocation (serverless mode) - ) + self.auto_register = auto_register # Auto-register on first invocation (serverless mode) # 🔥 FIX: Resolve callback URL immediately if provided # This ensures base_url is available before serve() is called @@ -599,9 +589,7 @@ def __init__( self.api_key = api_key # Initialize AgentFieldClient with async configuration and API key - self.client = AgentFieldClient( - base_url=agentfield_server, async_config=self.async_config, api_key=api_key - ) + self.client = AgentFieldClient(base_url=agentfield_server, async_config=self.async_config, api_key=api_key) self.client.caller_agent_id = self.node_id self._current_execution_context: Optional[ExecutionContext] = None @@ -623,9 +611,7 @@ def __init__( self.memory_config = ( memory_config if memory_config - else MemoryConfig( - auto_inject=[], memory_retention="session", cache_results=False - ) + else MemoryConfig(auto_inject=[], memory_retention="session", cache_results=False) ) # Add MCP management @@ -672,9 +658,7 @@ def __init__( # Initialize Dynamic Skill Manager when both MCP components are available if self.mcp_manager and self.mcp_client_registry: - self.dynamic_skill_manager = DynamicMCPSkillManager( - self, self.dev_mode - ) + self.dynamic_skill_manager = DynamicMCPSkillManager(self, self.dev_mode) if self.dev_mode: log_debug("Dynamic MCP skill manager initialized") @@ -784,9 +768,7 @@ def skills(self, value: List[Dict]) -> None: """Allow setting skills for backward compatibility (deprecated).""" self._skills_legacy = value - def _entry_to_metadata( - self, entry: Union[ReasonerEntry, SkillEntry], kind: str - ) -> Dict: + def _entry_to_metadata(self, entry: Union[ReasonerEntry, SkillEntry], kind: str) -> Dict: """Convert a registry entry to legacy metadata dict format with on-demand schema generation.""" # Generate input schema from stored types input_schema = self._types_to_json_schema(entry.input_types) @@ -799,14 +781,10 @@ def _entry_to_metadata( "input_schema": input_schema, "output_schema": output_schema, "memory_config": self.memory_config.to_dict(), - "return_type_hint": getattr( - entry.output_type, "__name__", str(entry.output_type) - ), + "return_type_hint": getattr(entry.output_type, "__name__", str(entry.output_type)), "tags": entry.tags, "proposed_tags": entry.tags, - "vc_enabled": entry.vc_enabled - if entry.vc_enabled is not None - else self._agent_vc_enabled, + "vc_enabled": entry.vc_enabled if entry.vc_enabled is not None else self._agent_vc_enabled, } return metadata @@ -873,9 +851,7 @@ def _type_to_json_schema(self, typ: type) -> Dict: # Default fallback return {"type": "object"} - def _validate_handler_input( - self, data: dict, input_types: Dict[str, tuple] - ) -> dict: + def _validate_handler_input(self, data: dict, input_types: Dict[str, tuple]) -> dict: """ Validate input data against expected types at runtime. @@ -944,17 +920,11 @@ def _validate_handler_input( result[name] = value.lower() in ("true", "1", "yes") else: result[name] = bool(value) - elif ( - actual_type is dict - or getattr(actual_type, "__origin__", None) is dict - ): + elif actual_type is dict or getattr(actual_type, "__origin__", None) is dict: if not isinstance(value, dict): raise ValueError(f"Field '{name}' must be a dict") result[name] = dict(value) - elif ( - actual_type is list - or getattr(actual_type, "__origin__", None) is list - ): + elif actual_type is list or getattr(actual_type, "__origin__", None) is list: if not isinstance(value, list): raise ValueError(f"Field '{name}' must be a list") result[name] = list(value) @@ -969,9 +939,7 @@ def _validate_handler_input( return result - def handle_serverless( - self, event: dict, adapter: Optional[Callable] = None - ) -> dict: + def handle_serverless(self, event: dict, adapter: Optional[Callable] = None) -> dict: """ Universal serverless handler for executing reasoners and skills. @@ -1047,9 +1015,7 @@ def lambda_handler(event, context): self.async_config.enable_async_execution = False # Parse event format for execution - reasoner_name = ( - event.get("reasoner") or event.get("target") or event.get("skill") - ) + reasoner_name = event.get("reasoner") or event.get("target") or event.get("skill") if not reasoner_name and path: # Support paths like /execute/ or /reasoners/ cleaned_path = path.split("?", 1)[0].strip("/") @@ -1063,9 +1029,7 @@ def lambda_handler(event, context): reasoner_name = parts[-1] input_data = event.get("input") or event.get("input_data", {}) - execution_context_data = ( - event.get("execution_context") or event.get("executionContext") or {} - ) + execution_context_data = event.get("execution_context") or event.get("executionContext") or {} if not reasoner_name: return { @@ -1074,12 +1038,8 @@ def lambda_handler(event, context): } # Create execution context - exec_id = execution_context_data.get( - "execution_id", f"exec_{int(time.time() * 1000)}" - ) - run_id = execution_context_data.get("run_id") or execution_context_data.get( - "workflow_id" - ) + exec_id = execution_context_data.get("execution_id", f"exec_{int(time.time() * 1000)}") + run_id = execution_context_data.get("run_id") or execution_context_data.get("workflow_id") if not run_id: run_id = f"wf_{int(time.time() * 1000)}" workflow_id = execution_context_data.get("workflow_id", run_id) @@ -1095,9 +1055,7 @@ def lambda_handler(event, context): actor_id=execution_context_data.get("actor_id"), caller_did=execution_context_data.get("caller_did"), target_did=execution_context_data.get("target_did"), - agent_node_did=execution_context_data.get( - "agent_node_did", execution_context_data.get("agent_did") - ), + agent_node_did=execution_context_data.get("agent_node_did", execution_context_data.get("agent_did")), workflow_id=workflow_id, parent_workflow_id=execution_context_data.get("parent_workflow_id"), root_workflow_id=execution_context_data.get("root_workflow_id"), @@ -1168,9 +1126,7 @@ def _initialize_did_system(self): """Initialize DID and VC components.""" try: # Initialize DID Manager - self.did_manager = DIDManager( - self.agentfield_server, self.node_id, self.api_key - ) + self.did_manager = DIDManager(self.agentfield_server, self.node_id, self.api_key) # Initialize VC Generator self.vc_generator = VCGenerator(self.agentfield_server, self.api_key) @@ -1305,9 +1261,7 @@ def get_conversation_summary() -> dict: if not self._current_execution_context: return None - memory_client = MemoryClient( - self.client, self._current_execution_context, agent_node_id=self.node_id - ) + memory_client = MemoryClient(self.client, self._current_execution_context, agent_node_id=self.node_id) if not self.memory_event_client: self.memory_event_client = MemoryEventClient( self.agentfield_server, @@ -1355,16 +1309,11 @@ async def handle_ticket(ticket_id: str): return thread_local_ctx # Only return agent-level context if it was set during an actual execution # (i.e., has registered=True), not the default context created at init time - if ( - self._current_execution_context - and self._current_execution_context.registered - ): + if self._current_execution_context and self._current_execution_context.registered: return self._current_execution_context return None - def _populate_execution_context_with_did( - self, execution_context, did_execution_context - ): + def _populate_execution_context_with_did(self, execution_context, did_execution_context): """ Populate the execution context with DID information. @@ -1382,9 +1331,7 @@ def _agent_vc_default(self) -> bool: """Resolve the agent-level VC default, falling back to enabled.""" return True if self._agent_vc_enabled is None else self._agent_vc_enabled - def _set_reasoner_vc_override( - self, reasoner_id: str, value: Optional[bool] - ) -> None: + def _set_reasoner_vc_override(self, reasoner_id: str, value: Optional[bool]) -> None: if value is None: self._reasoner_vc_overrides.pop(reasoner_id, None) else: @@ -1396,21 +1343,13 @@ def _set_skill_vc_override(self, skill_id: str, value: Optional[bool]) -> None: else: self._skill_vc_overrides[skill_id] = value - def _effective_component_vc_setting( - self, component_id: str, overrides: Dict[str, bool] - ) -> bool: + def _effective_component_vc_setting(self, component_id: str, overrides: Dict[str, bool]) -> bool: if component_id in overrides: return overrides[component_id] return self._agent_vc_default() - def _should_generate_vc( - self, component_id: str, overrides: Dict[str, bool] - ) -> bool: - if ( - not self.did_enabled - or not self.vc_generator - or not self.vc_generator.is_enabled() - ): + def _should_generate_vc(self, component_id: str, overrides: Dict[str, bool]) -> bool: + if not self.did_enabled or not self.vc_generator or not self.vc_generator.is_enabled(): return False return self._effective_component_vc_setting(component_id, overrides) @@ -1428,16 +1367,12 @@ def _build_agent_metadata(self) -> Optional[Dict[str, Any]]: def _build_vc_metadata(self) -> Dict[str, Any]: """Produce a serializable VC policy snapshot for control-plane visibility.""" effective_reasoners = { - reasoner["id"]: self._effective_component_vc_setting( - reasoner["id"], self._reasoner_vc_overrides - ) + reasoner["id"]: self._effective_component_vc_setting(reasoner["id"], self._reasoner_vc_overrides) for reasoner in self.reasoners if "id" in reasoner } effective_skills = { - skill["id"]: self._effective_component_vc_setting( - skill["id"], self._skill_vc_overrides - ) + skill["id"]: self._effective_component_vc_setting(skill["id"], self._skill_vc_overrides) for skill in self.skills if "id" in skill } @@ -1511,9 +1446,7 @@ def _apply_discovery_response(self, payload: Optional[Dict[str, Any]]) -> None: if not payload: return - discovery_section = ( - payload.get("callback_discovery") if isinstance(payload, dict) else None - ) + discovery_section = payload.get("callback_discovery") if isinstance(payload, dict) else None resolved = None if isinstance(payload, dict): @@ -1585,8 +1518,7 @@ def _register_agent_with_did(self) -> bool: ) log_debug( - "Calling did_manager.register_agent() with " - f"{len(reasoner_defs)} reasoners and {len(skill_defs)} skills" + f"Calling did_manager.register_agent() with {len(reasoner_defs)} reasoners and {len(skill_defs)} skills" ) # Register with DID system @@ -1600,9 +1532,7 @@ def _register_agent_with_did(self) -> bool: agent_did = self.did_manager.get_agent_did() agent_private_key = None if self.did_manager.identity_package: - agent_private_key = ( - self.did_manager.identity_package.agent_did.private_key_jwk - ) + agent_private_key = self.did_manager.identity_package.agent_did.private_key_jwk if agent_did and agent_private_key: self.client.set_did_credentials(agent_did, agent_private_key) @@ -1662,9 +1592,7 @@ def reasoner( decorator_name = name decorator_tags = tags - if decorator_path and ( - inspect.isfunction(decorator_path) or inspect.ismethod(decorator_path) - ): + if decorator_path and (inspect.isfunction(decorator_path) or inspect.ismethod(decorator_path)): direct_registration = decorator_path decorator_path = None @@ -1673,7 +1601,11 @@ def decorator(func: Callable) -> Callable: func_name = func.__name__ reasoner_id = decorator_name or func_name if decorator_path: - endpoint_path = decorator_path if decorator_path.startswith("/reasoners/") else f"/reasoners/{decorator_path.lstrip('/')}" + endpoint_path = ( + decorator_path + if decorator_path.startswith("/reasoners/") + else f"/reasoners/{decorator_path.lstrip('/')}" + ) else: endpoint_path = f"/reasoners/{reasoner_id}" @@ -1686,11 +1618,7 @@ def decorator(func: Callable) -> Callable: for param_name, param in sig.parameters.items(): if param_name not in ["self", "execution_context"]: param_type = type_hints.get(param_name, str) - default_value = ( - param.default - if param.default is not inspect.Parameter.empty - else ... - ) + default_value = param.default if param.default is not inspect.Parameter.empty else ... input_fields[param_name] = (param_type, default_value) # NOTE: Removed create_model() - saves ~1.5-2 KB per handler @@ -1719,11 +1647,24 @@ async def endpoint(request: Request): content={"detail": "Invalid JSON body"}, ) + # DEBUG: Print raw body received from CP + print( + f"[SDK-DEBUG] Raw body keys: {list(body.keys()) if isinstance(body, dict) else type(body)}", + flush=True, + ) + print(f"[SDK-DEBUG] Raw body: {body}", flush=True) + print(f"[SDK-DEBUG] handler_input_fields keys: {list(handler_input_fields.keys())}", flush=True) + + # If CP wraps input in an "input" key, unwrap it + if isinstance(body, dict) and "input" in body and isinstance(body["input"], dict): + inner = body["input"] + if any(k in handler_input_fields for k in inner): + print(f"[SDK-DEBUG] Unwrapping body['input']", flush=True) + body = inner + # Validate input at runtime (replaces Pydantic validation) try: - validated_input = self._validate_handler_input( - body, handler_input_fields - ) + validated_input = self._validate_handler_input(body, handler_input_fields) except ValueError as e: return JSONResponse( status_code=422, @@ -1761,9 +1702,7 @@ async def run_reasoner() -> Any: # 🔥 ENHANCED: Comprehensive function replacement for unified tracking # Use weakref to avoid circular reference: Agent → tracked_func → Agent original_func = func - workflow_ref = ( - weakref.ref(self.workflow_handler) if self.workflow_handler else None - ) + workflow_ref = weakref.ref(self.workflow_handler) if self.workflow_handler else None async def tracked_func(*args, **kwargs): """Enhanced tracked function with unified execution pipeline and context inheritance. @@ -1786,9 +1725,7 @@ async def tracked_func(*args, **kwargs): if workflow_handler is None: # Agent was garbage collected, call function directly return await original_func(*args, **kwargs) - return await workflow_handler.execute_with_tracking( - original_func, args, kwargs - ) + return await workflow_handler.execute_with_tracking(original_func, args, kwargs) # 🔥 FIX: Store reference to original function for FastAPI endpoint access setattr(tracked_func, "_original_func", original_func) @@ -1807,9 +1744,7 @@ async def tracked_func(*args, **kwargs): setattr(tracked_func, "_reasoner_tags", resolved_tags) # Store in memory-efficient registry (schemas generated on-demand) - vc_setting = self._effective_component_vc_setting( - reasoner_id, self._reasoner_vc_overrides - ) + vc_setting = self._effective_component_vc_setting(reasoner_id, self._reasoner_vc_overrides) self._reasoner_registry[reasoner_id] = ReasonerEntry( id=reasoner_id, func=func, @@ -1824,9 +1759,7 @@ async def tracked_func(*args, **kwargs): # self._reasoner_return_types[reasoner_id] = return_type # REMOVED - stored in entry # 🔥 CRITICAL: Comprehensive function replacement (re-enabled for workflow tracking) - self.workflow_handler.replace_function_references( - original_func, tracked_func, func_name - ) + self.workflow_handler.replace_function_references(original_func, tracked_func, func_name) if reasoner_id != func_name: setattr(self, reasoner_id, getattr(self, func_name, tracked_func)) @@ -1876,9 +1809,7 @@ async def _execute_reasoner_endpoint( did_execution_context = None if self.did_enabled and self.did_manager: - session_identifier = ( - execution_context.session_id or execution_context.workflow_id - ) + session_identifier = execution_context.session_id or execution_context.workflow_id did_execution_context = self.did_manager.create_execution_context( execution_context.execution_id, execution_context.workflow_id, @@ -1886,16 +1817,12 @@ async def _execute_reasoner_endpoint( "agent", reasoner_id, ) - self._populate_execution_context_with_did( - execution_context, did_execution_context - ) + self._populate_execution_context_with_did(execution_context, did_execution_context) try: try: if should_convert_args(func): - converted_args, converted_kwargs = convert_function_args( - func, (), payload_dict - ) + converted_args, converted_kwargs = convert_function_args(func, (), payload_dict) args = converted_args kwargs = converted_kwargs else: @@ -1907,9 +1834,7 @@ async def _execute_reasoner_endpoint( ) from exc except Exception as exc: # pragma: no cover - best effort log if self.dev_mode: - log_debug( - f"⚠️ Warning: Failed to convert arguments for {reasoner_id}: {exc}" - ) + log_debug(f"⚠️ Warning: Failed to convert arguments for {reasoner_id}: {exc}") args, kwargs = (), payload_dict if "execution_context" in signature.parameters: @@ -1920,13 +1845,9 @@ async def _execute_reasoner_endpoint( else: result = func(*args, **kwargs) - if did_execution_context and self._should_generate_vc( - reasoner_id, self._reasoner_vc_overrides - ): + if did_execution_context and self._should_generate_vc(reasoner_id, self._reasoner_vc_overrides): if self.dev_mode: - log_debug( - f"Triggering VC generation for execution: {did_execution_context.execution_id}" - ) + log_debug(f"Triggering VC generation for execution: {did_execution_context.execution_id}") end_time = time.time() duration_ms = int((end_time - start_time) * 1000) asyncio.create_task( @@ -2084,17 +2005,11 @@ async def _post_execution_status( ) if 200 <= response.status_code < 300: if self.dev_mode: - log_debug( - f"Sent async status update for {execution_id} (attempt {attempt + 1})" - ) + log_debug(f"Sent async status update for {execution_id} (attempt {attempt + 1})") return - log_warn( - f"Async status update failed with {response.status_code} for execution {execution_id}" - ) + log_warn(f"Async status update failed with {response.status_code} for execution {execution_id}") except Exception as exc: # pragma: no cover - network errors - log_warn( - f"Async status update attempt {attempt + 1} failed for {execution_id}: {exc}" - ) + log_warn(f"Async status update attempt {attempt + 1} failed for {execution_id}: {exc}") if attempt < max_retries - 1: await asyncio.sleep(2**attempt) log_error(f"Failed to deliver async status for {execution_id} after retries") @@ -2102,10 +2017,7 @@ async def _post_execution_status( def _build_execution_callback_url(self, execution_id: str) -> Optional[str]: if not self.agentfield_server or not execution_id: return None - return ( - self.agentfield_server.rstrip("/") - + f"/api/v1/executions/{execution_id}/status" - ) + return self.agentfield_server.rstrip("/") + f"/api/v1/executions/{execution_id}/status" def on_change(self, pattern: Union[str, List[str]]): """ @@ -2284,9 +2196,7 @@ async def send_notification( decorator_path = path decorator_name = name - if decorator_tags and ( - inspect.isfunction(decorator_tags) or inspect.ismethod(decorator_tags) - ): + if decorator_tags and (inspect.isfunction(decorator_tags) or inspect.ismethod(decorator_tags)): direct_registration = decorator_tags decorator_tags = None @@ -2308,11 +2218,7 @@ def decorator(func: Callable) -> Callable: for param_name, param in sig.parameters.items(): if param_name not in ["self", "execution_context"]: param_type = type_hints.get(param_name, str) - default_value = ( - param.default - if param.default is not inspect.Parameter.empty - else ... - ) + default_value = param.default if param.default is not inspect.Parameter.empty else ... input_fields[param_name] = (param_type, default_value) # NOTE: Removed create_model() - saves ~1.5-2 KB per handler @@ -2336,9 +2242,7 @@ async def endpoint(request: Request): # Validate input at runtime (replaces Pydantic validation) try: - validated_input = self._validate_handler_input( - body, handler_input_fields - ) + validated_input = self._validate_handler_input(body, handler_input_fields) except ValueError as e: return JSONResponse( status_code=422, @@ -2357,9 +2261,7 @@ async def endpoint(request: Request): # Create DID execution context if DID system is enabled did_execution_context = None if self.did_enabled and self.did_manager: - session_identifier = ( - execution_context.session_id or execution_context.workflow_id - ) + session_identifier = execution_context.session_id or execution_context.workflow_id did_execution_context = self.did_manager.create_execution_context( execution_context.execution_id, execution_context.workflow_id, @@ -2368,9 +2270,7 @@ async def endpoint(request: Request): skill_id, # target function ) # Populate execution context with DID information - self._populate_execution_context_with_did( - execution_context, did_execution_context - ) + self._populate_execution_context_with_did(execution_context, did_execution_context) # Use validated input directly (already a dict) input_payload = validated_input @@ -2380,9 +2280,7 @@ async def endpoint(request: Request): original_func = getattr(func, "_original_func", func) try: if should_convert_args(original_func): - _converted_args, converted_kwargs = convert_function_args( - original_func, (), input_payload - ) + _converted_args, converted_kwargs = convert_function_args(original_func, (), input_payload) kwargs = converted_kwargs else: kwargs = dict(input_payload) @@ -2395,9 +2293,7 @@ async def endpoint(request: Request): except Exception as e: # Log conversion errors but continue with original args for backward compatibility if self.dev_mode: - log_warn( - f"Failed to convert arguments for skill '{skill_id}': {e}" - ) + log_warn(f"Failed to convert arguments for skill '{skill_id}': {e}") kwargs = dict(input_payload) # Inject execution context if the function accepts it @@ -2429,9 +2325,7 @@ async def endpoint(request: Request): duration_ms = int((time.time() - start_time) * 1000) # Generate VC asynchronously if DID is enabled - if did_execution_context and self._should_generate_vc( - skill_id, self._skill_vc_overrides - ): + if did_execution_context and self._should_generate_vc(skill_id, self._skill_vc_overrides): asyncio.create_task( self._generate_vc_async( self.vc_generator, @@ -2507,11 +2401,7 @@ def _build_invocation_payload(args: tuple, kwargs: dict) -> Dict[str, Any]: try: bound = sig.bind_partial(*args, **kwargs) bound.apply_defaults() - payload = { - name: value - for name, value in bound.arguments.items() - if name != "self" - } + payload = {name: value for name, value in bound.arguments.items() if name != "self"} return payload except Exception: payload = {f"arg_{idx}": value for idx, value in enumerate(args)} @@ -2520,9 +2410,7 @@ def _build_invocation_payload(args: tuple, kwargs: dict) -> Dict[str, Any]: # Store in memory-efficient registry (schemas generated on-demand) resolved_tags = list(decorator_tags) if decorator_tags else [] - vc_setting = self._effective_component_vc_setting( - skill_id, self._skill_vc_overrides - ) + vc_setting = self._effective_component_vc_setting(skill_id, self._skill_vc_overrides) self._skill_registry[skill_id] = SkillEntry( id=skill_id, func=func, @@ -2669,9 +2557,7 @@ def include_router( router._attach_agent(self) normalized_prefix = prefix.rstrip("/") if prefix else "" - def _replace_module_reference( - original_func: Callable, tracked_func: Callable - ) -> None: + def _replace_module_reference(original_func: Callable, tracked_func: Callable) -> None: module_name = getattr(original_func, "__module__", None) attr_name = getattr(original_func, "__name__", None) if not module_name or not attr_name: @@ -2705,9 +2591,7 @@ def _build_prefixed_name(parts: List[str], base: str) -> str: prefix_part = "_".join(parts) return f"{prefix_part}_{base}" - def _normalize_component_path( - path_value: Optional[str], component: str, component_id: str - ) -> str: + def _normalize_component_path(path_value: Optional[str], component: str, component_id: str) -> str: """Ensure router-registered components map to /reasoners/{id} style paths.""" marker = f"/{component}/" @@ -2720,9 +2604,7 @@ def _normalize_component_path( # Preserve any include_router prefix (everything up to and including marker) prefix_part = path_value[: idx + len(marker)] - if path_value.endswith(component_id) and path_value.startswith( - prefix_part - ): + if path_value.endswith(component_id) and path_value.startswith(prefix_part): # Already normalized return path_value @@ -2757,9 +2639,7 @@ def _normalize_component_path( ) if auto_path: - resolved_path = _normalize_component_path( - resolved_path, "reasoners", reasoner_id - ) + resolved_path = _normalize_component_path(resolved_path, "reasoners", reasoner_id) decorated = self.reasoner( path=resolved_path, @@ -2802,9 +2682,7 @@ def _normalize_component_path( ) if auto_path: - resolved_path = _normalize_component_path( - resolved_path, "skills", skill_id - ) + resolved_path = _normalize_component_path(resolved_path, "skills", skill_id) decorated = self.skill( tags=tag_arg, @@ -3328,18 +3206,14 @@ async def call(self, target: str, *args, **kwargs) -> dict: func = getattr(self, function_name) sig = inspect.signature(func) param_names = [ - name - for name, param in sig.parameters.items() - if name not in ["self", "execution_context"] + name for name, param in sig.parameters.items() if name not in ["self", "execution_context"] ] # Map positional args to parameter names for i, arg in enumerate(args): if i < len(param_names): param_name = param_names[i] - if ( - param_name not in final_kwargs - ): # Don't override explicit kwargs + if param_name not in final_kwargs: # Don't override explicit kwargs final_kwargs[param_name] = arg else: # More args than parameters - use generic names @@ -3369,12 +3243,8 @@ async def call(self, target: str, *args, **kwargs) -> dict: log_debug(f"🔍 CALL_DEBUG: Making cross-agent call to {target}") log_debug(f" Current execution_id: {current_context.execution_id}") - log_debug( - f" Thread-local context exists: {get_current_context() is not None}" - ) - log_debug( - f" Agent-level context exists: {self._current_execution_context is not None}" - ) + log_debug(f" Thread-local context exists: {get_current_context() is not None}") + log_debug(f" Agent-level context exists: {self._current_execution_context is not None}") # Prepare headers with proper workflow tracking headers = current_context.to_headers() @@ -3394,9 +3264,7 @@ async def call(self, target: str, *args, **kwargs) -> dict: if not self.agentfield_connected: from agentfield.logger import log_warn - log_warn( - f"AgentField server unavailable - cannot make cross-agent call to {target}" - ) + log_warn(f"AgentField server unavailable - cannot make cross-agent call to {target}") raise Exception( f"Cross-agent call to {target} failed: AgentField server unavailable. Agent is running in local mode." ) @@ -3412,9 +3280,7 @@ async def call(self, target: str, *args, **kwargs) -> dict: json.dumps(value, default=str) # Test serialization except (TypeError, ValueError) as se: - serialization_issues.append( - f"{key}: {type(value).__name__} - {str(se)}" - ) + serialization_issues.append(f"{key}: {type(value).__name__} - {str(se)}") # Try to convert common non-serializable types if hasattr(value, "value"): # Enum with .value attribute @@ -3425,18 +3291,14 @@ async def call(self, target: str, *args, **kwargs) -> dict: final_kwargs[key] = str(value) if serialization_issues and self.dev_mode: - log_debug( - f"Converted {len(serialization_issues)} non-serializable parameters" - ) + log_debug(f"Converted {len(serialization_issues)} non-serializable parameters") import asyncio import time # Determine how long we're willing to wait for long-running executions. max_timeout = getattr(self.async_config, "max_execution_timeout", None) - default_timeout = getattr( - self.async_config, "default_execution_timeout", None - ) + default_timeout = getattr(self.async_config, "default_execution_timeout", None) execution_timeout = max_timeout or default_timeout or 600.0 # Guard against misconfiguration resulting in non-positive values. if execution_timeout <= 0: @@ -3445,10 +3307,7 @@ async def call(self, target: str, *args, **kwargs) -> dict: start_time = time.time() # Check if async execution is enabled and available - use_async_execution = ( - self.async_config.enable_async_execution - and self.agentfield_connected - ) + use_async_execution = self.async_config.enable_async_execution and self.agentfield_connected if use_async_execution: try: @@ -3469,9 +3328,7 @@ async def call(self, target: str, *args, **kwargs) -> dict: elapsed_time = time.time() - start_time if self.dev_mode: - log_debug( - f"Async execute call completed in {elapsed_time:.2f} seconds" - ) + log_debug(f"Async execute call completed in {elapsed_time:.2f} seconds") if isinstance(result, dict) and "result" in result: return result["result"] @@ -3479,9 +3336,7 @@ async def call(self, target: str, *args, **kwargs) -> dict: except Exception as async_error: if self.dev_mode: - log_debug( - f"Async execution failed: {type(async_error).__name__}: {str(async_error)}" - ) + log_debug(f"Async execution failed: {type(async_error).__name__}: {str(async_error)}") # Never fall back on authorization errors (401/403) — # these are permanent failures that retrying won't fix. @@ -3493,9 +3348,7 @@ async def call(self, target: str, *args, **kwargs) -> dict: raise async_error if self.dev_mode: - log_debug( - f"Falling back to sync execution for target: {target}" - ) + log_debug(f"Falling back to sync execution for target: {target}") # Sync execution path (either by choice or as fallback) if self.dev_mode and use_async_execution: @@ -3506,35 +3359,23 @@ async def call(self, target: str, *args, **kwargs) -> dict: # Wrap the execute call with timeout and progress monitoring async def execute_with_monitoring(): try: - result = await self.client.execute( - target=target, input_data=final_kwargs, headers=headers - ) + result = await self.client.execute(target=target, input_data=final_kwargs, headers=headers) return result except Exception as exec_error: if self.dev_mode: - log_debug( - f"Client execute failed: {type(exec_error).__name__}: {str(exec_error)}" - ) + log_debug(f"Client execute failed: {type(exec_error).__name__}: {str(exec_error)}") raise # Add a timeout to prevent infinite hangs using configured allowance for long workflows try: - result = await asyncio.wait_for( - execute_with_monitoring(), timeout=execution_timeout - ) + result = await asyncio.wait_for(execute_with_monitoring(), timeout=execution_timeout) elapsed_time = time.time() - start_time if self.dev_mode: - log_debug( - f"Sync execute call completed in {elapsed_time:.2f} seconds" - ) + log_debug(f"Sync execute call completed in {elapsed_time:.2f} seconds") except asyncio.TimeoutError: elapsed_time = time.time() - start_time - log_debug( - f"Execute call timed out after {elapsed_time:.2f} seconds (limit {execution_timeout:.0f}s)" - ) - raise Exception( - f"Cross-agent call to {target} timed out after {int(execution_timeout)} seconds" - ) + log_debug(f"Execute call timed out after {elapsed_time:.2f} seconds (limit {execution_timeout:.0f}s)") + raise Exception(f"Cross-agent call to {target} timed out after {int(execution_timeout)} seconds") # Extract the actual result from the response and return as dict if isinstance(result, dict): @@ -3552,9 +3393,7 @@ async def execute_with_monitoring(): except Exception as e: if self.dev_mode: - log_debug( - f"Cross-agent call failed: {target} - {type(e).__name__}: {str(e)}" - ) + log_debug(f"Cross-agent call failed: {target} - {type(e).__name__}: {str(e)}") raise async def _get_async_execution_manager(self) -> AsyncExecutionManager: @@ -3671,13 +3510,9 @@ async def _send_note(): if self.dev_mode: from agentfield.logger import log_debug - log_debug( - f"NOTE DEBUG: Original api_base: {self.client.api_base}" - ) + log_debug(f"NOTE DEBUG: Original api_base: {self.client.api_base}") log_debug(f"NOTE DEBUG: UI api_base: {ui_api_base}") - log_debug( - f"NOTE DEBUG: Full URL: {ui_api_base}/executions/note" - ) + log_debug(f"NOTE DEBUG: Full URL: {ui_api_base}/executions/note") log_debug(f"NOTE DEBUG: Payload: {payload}") log_debug(f"NOTE DEBUG: Headers: {headers}") @@ -3691,40 +3526,26 @@ async def _send_note(): from agentfield.logger import log_debug response_text = await response.text() - log_debug( - f"NOTE DEBUG: Response status: {response.status}" - ) + log_debug(f"NOTE DEBUG: Response status: {response.status}") log_debug(f"NOTE DEBUG: Response text: {response_text}") if response.status == 200: - log_debug( - f"✅ Note successfully sent to {ui_api_base}/executions/note" - ) + log_debug(f"✅ Note successfully sent to {ui_api_base}/executions/note") else: - log_debug( - f"❌ Note failed with status {response.status}: {response_text}" - ) + log_debug(f"❌ Note failed with status {response.status}: {response_text}") except ImportError: # Fallback to requests if aiohttp not available import requests try: # Use UI API base URL to match where frontend fetches notes from - ui_api_base = self.client.api_base.replace( - "/api/v1", "/api/ui/v1" - ) + ui_api_base = self.client.api_base.replace("/api/v1", "/api/ui/v1") if self.dev_mode: from agentfield.logger import log_debug - log_debug( - f"NOTE DEBUG (requests): Original api_base: {self.client.api_base}" - ) - log_debug( - f"NOTE DEBUG (requests): UI api_base: {ui_api_base}" - ) - log_debug( - f"NOTE DEBUG (requests): Full URL: {ui_api_base}/executions/note" - ) + log_debug(f"NOTE DEBUG (requests): Original api_base: {self.client.api_base}") + log_debug(f"NOTE DEBUG (requests): UI api_base: {ui_api_base}") + log_debug(f"NOTE DEBUG (requests): Full URL: {ui_api_base}/executions/note") response = requests.post( f"{ui_api_base}/executions/note", @@ -3735,20 +3556,12 @@ async def _send_note(): if self.dev_mode: from agentfield.logger import log_debug - log_debug( - f"NOTE DEBUG (requests): Response status: {response.status_code}" - ) - log_debug( - f"NOTE DEBUG (requests): Response text: {response.text}" - ) + log_debug(f"NOTE DEBUG (requests): Response status: {response.status_code}") + log_debug(f"NOTE DEBUG (requests): Response text: {response.text}") if response.status_code == 200: - log_debug( - f"✅ Note successfully sent to {ui_api_base}/executions/note" - ) + log_debug(f"✅ Note successfully sent to {ui_api_base}/executions/note") else: - log_debug( - f"❌ Note failed with status {response.status_code}: {response.text}" - ) + log_debug(f"❌ Note failed with status {response.status_code}: {response.text}") except Exception as e: if self.dev_mode: from agentfield.logger import log_debug @@ -3853,8 +3666,12 @@ async def pause( # Clean up the future if we couldn't even tell the CP await self._pause_manager.resolve( approval_request_id, - ApprovalResult(decision="error", feedback="failed to notify control plane", - execution_id=execution_id, approval_request_id=approval_request_id), + ApprovalResult( + decision="error", + feedback="failed to notify control plane", + execution_id=execution_id, + approval_request_id=approval_request_id, + ), ) raise @@ -3962,9 +3779,7 @@ def _get_current_execution_context(self) -> ExecutionContext: return self._current_execution_context # Create new context if none exists and cache it - new_context = ExecutionContext.create_new( - agent_node_id=self.node_id, workflow_name=f"{self.node_id}_workflow" - ) + new_context = ExecutionContext.create_new(agent_node_id=self.node_id, workflow_name=f"{self.node_id}_workflow") self._current_execution_context = new_context return new_context @@ -4012,11 +3827,7 @@ def _convert_response_to_schema(self, response_data: Any, return_type: Type) -> from pydantic import BaseModel # If return_type is a Pydantic model, convert the dict to the model - if ( - isinstance(return_type, type) - and issubclass(return_type, BaseModel) - and isinstance(response_data, dict) - ): + if isinstance(return_type, type) and issubclass(return_type, BaseModel) and isinstance(response_data, dict): return return_type(**response_data) # If it's not a Pydantic model or not a dict, return as-is @@ -4078,9 +3889,7 @@ def _emit_workflow_event_sync( import requests except ImportError: if self.dev_mode: - log_warn( - "requests library unavailable, skipping workflow event emission" - ) + log_warn("requests library unavailable, skipping workflow event emission") return payload: Dict[str, Any] = { @@ -4111,9 +3920,7 @@ def _emit_workflow_event_sync( headers["X-API-Key"] = self.api_key response = requests.post(url, json=payload, headers=headers, timeout=5) if response.status_code >= 400 and self.dev_mode: - log_warn( - f"Workflow event ({status}) for {component_id} failed: {response.status_code} {response.text}" - ) + log_warn(f"Workflow event ({status}) for {component_id} failed: {response.status_code} {response.text}") except Exception as exc: if self.dev_mode: log_warn(f"Failed to emit workflow event for {component_id}: {exc}") @@ -4124,9 +3931,7 @@ def _setup_signal_handlers( """Delegate to server handler for signal setup""" return self.server_handler.setup_signal_handlers() - def _signal_handler( - self, signum: int, frame - ) -> None: # pragma: no cover - runtime signal handling + def _signal_handler(self, signum: int, frame) -> None: # pragma: no cover - runtime signal handling """Delegate to server handler for signal handling""" return self.server_handler.signal_handler(signum, frame) @@ -4138,10 +3943,7 @@ def __del__(self) -> None: # pragma: no cover - destructor best effort """ try: # Cleanup async execution manager if it exists - if ( - hasattr(self, "_async_execution_manager") - and self._async_execution_manager - ): + if hasattr(self, "_async_execution_manager") and self._async_execution_manager: try: # Try to cleanup async resources in a new event loop import asyncio @@ -4355,9 +4157,7 @@ async def dispatch(self, request, call_next): # Verify signature body = await request.body() - if not verifier.verify_signature( - caller_did, signature, timestamp, body, nonce - ): + if not verifier.verify_signature(caller_did, signature, timestamp, body, nonce): return StarletteJSONResponse( status_code=401, content={ @@ -4373,11 +4173,7 @@ async def dispatch(self, request, call_next): # fail-open behavior. The control plane remains the primary policy # enforcement point with full caller context. agent_tags = getattr(agent, "agent_tags", []) or [] - func_name = ( - request.url.path.rstrip("/").split("/")[-1] - if request.url.path - else "" - ) + func_name = request.url.path.rstrip("/").split("/")[-1] if request.url.path else "" if not verifier.evaluate_policy([], agent_tags, func_name, {}): return StarletteJSONResponse( status_code=403, diff --git a/Dockerfile b/Dockerfile index 0a8a35f..d689270 100644 --- a/Dockerfile +++ b/Dockerfile @@ -34,7 +34,9 @@ ENV PYTHONDONTWRITEBYTECODE=1 \ PORT=8004 \ HOME=/home/praf \ PYTHONPATH=/app/src \ - PATH=/home/praf/.opencode/bin:${PATH} + PATH=/home/praf/.opencode/bin:${PATH} \ + XDG_DATA_HOME=/home/praf/.local/share \ + PR_AF_WORKDIR=/workspaces WORKDIR /app @@ -45,7 +47,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ groupadd --gid 10001 praf && \ useradd --uid 10001 --gid praf --create-home --home-dir /home/praf --shell /bin/sh praf && \ su -s /bin/sh praf -c "curl -fsSL https://opencode.ai/install | bash" && \ - mkdir -p /workspaces && \ + mkdir -p /workspaces /home/praf/.local/share && \ chown -R praf:praf /app /workspaces /home/praf && \ rm -rf /var/lib/apt/lists/* diff --git a/docker-compose.yml b/docker-compose.yml index 2274e10..66a0c81 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -28,8 +28,11 @@ services: - OPENROUTER_API_KEY=${OPENROUTER_API_KEY} - GITHUB_TOKEN=${GITHUB_TOKEN:-} - GH_TOKEN=${GH_TOKEN:-} + - XDG_DATA_HOME=/home/praf/.local/share + - PR_AF_WORKDIR=/workspaces volumes: - pr-af-workspaces:/workspaces + - opencode-data:/home/praf/.local/share depends_on: agentfield: condition: service_started @@ -44,3 +47,4 @@ services: volumes: agentfield-data: pr-af-workspaces: + opencode-data: diff --git a/src/pr_af/app.py b/src/pr_af/app.py index dc4cf14..61dfa48 100644 --- a/src/pr_af/app.py +++ b/src/pr_af/app.py @@ -49,45 +49,76 @@ ) +def _extract_pr_number(pr_url: str) -> int | None: + if "github.com" in pr_url and "/pull/" in pr_url: + try: + return int(pr_url.split("/pull/")[-1].split("/")[0].strip("/")) + except (ValueError, IndexError): + return None + return None + + +def _checkout_pr_branch(target_dir: str, pr_number: int) -> None: + git_env = {**os.environ, "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo"} + subprocess.run( + ["git", "-C", target_dir, "fetch", "origin", f"pull/{pr_number}/head:pr-review"], + env=git_env, + timeout=120, + capture_output=True, + ) + subprocess.run( + ["git", "-C", target_dir, "checkout", "pr-review"], + env=git_env, + timeout=30, + capture_output=True, + ) + + def _resolve_repo(repo_path: str | None, pr_url: str | None) -> str: + workdir = os.getenv("PR_AF_WORKDIR", "/workspaces") target = repo_path + pr_number: int | None = None + if not target and isinstance(pr_url, str) and "github.com" in pr_url and "/pull/" in pr_url: parts = pr_url.split("github.com/")[-1].split("/pull/")[0].strip("/") if parts.count("/") == 1: target = f"https://github.com/{parts}.git" + pr_number = _extract_pr_number(pr_url) if isinstance(target, str) and os.path.isdir(target): return str(Path(target).resolve()) if isinstance(target, str) and target.startswith(("https://", "http://", "git@")): repo_name = target.rstrip("/").split("/")[-1].replace(".git", "") - target_dir = f"/workspaces/{repo_name}" - os.makedirs("/workspaces", exist_ok=True) + target_dir = os.path.join(workdir, repo_name) + os.makedirs(workdir, exist_ok=True) + + clone_url = target + gh_token = os.getenv("GH_TOKEN") or os.getenv("GITHUB_TOKEN", "") + if gh_token and clone_url.startswith("https://github.com/"): + clone_url = clone_url.replace("https://github.com/", f"https://{gh_token}@github.com/") if os.path.isdir(target_dir) and os.path.isdir(os.path.join(target_dir, ".git")): subprocess.run( - ["git", "pull", "--ff-only"], - cwd=target_dir, + ["git", "-C", target_dir, "fetch", "--all"], env={**os.environ, "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo"}, timeout=60, capture_output=True, ) - return target_dir + else: + result = subprocess.run( + ["git", "clone", clone_url, target_dir], + env={**os.environ, "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo"}, + timeout=120, + capture_output=True, + text=True, + ) + if result.returncode != 0: + raise ValueError(f"git clone failed: {result.stderr.strip()}") - clone_url = target - gh_token = os.getenv("GH_TOKEN") or os.getenv("GITHUB_TOKEN", "") - if gh_token and clone_url.startswith("https://github.com/"): - clone_url = clone_url.replace("https://github.com/", f"https://{gh_token}@github.com/") + if pr_number: + _checkout_pr_branch(target_dir, pr_number) - result = subprocess.run( - ["git", "clone", "--depth", "1", clone_url, target_dir], - env={**os.environ, "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo"}, - timeout=120, - capture_output=True, - text=True, - ) - if result.returncode != 0: - raise ValueError(f"git clone failed: {result.stderr.strip()}") return target_dir return str(Path(os.getenv("PR_AF_REPO_PATH", os.getcwd())).resolve()) @@ -113,6 +144,7 @@ async def review( output_format: str = "github", dry_run: bool = False, post_pr_number: int | None = None, + suggestion_mode: str = "comment", ) -> dict[str, object]: print( f"[PR-AF DEBUG] review() called with pr_url={pr_url!r}, diff_text={'' if diff_text else None}, repo_path={repo_path!r}, depth={depth!r}, dry_run={dry_run!r}", @@ -137,6 +169,7 @@ async def review( output_format=output_format, dry_run=dry_run, post_pr_number=post_pr_number, + suggestion_mode=suggestion_mode, ) resolved_repo_path = _resolve_repo(review_input.repo_path, review_input.pr_url) if not review_input.repo_path: diff --git a/src/pr_af/config.py b/src/pr_af/config.py index eabc5d7..a35143a 100644 --- a/src/pr_af/config.py +++ b/src/pr_af/config.py @@ -23,7 +23,7 @@ class BudgetConfig(BaseModel): # Global caps max_cost_usd: float = 2.0 - max_duration_seconds: int = 300 # 5 minutes + max_duration_seconds: int = 1800 # Phase-level cost allocation (USD) phase_budgets: dict[str, float] = Field( @@ -104,10 +104,10 @@ class ScoringConfig(BaseModel): confidence_thresholds: dict[str, float] = Field( default_factory=lambda: { - "critical": 0.3, # Keep critical findings even at low confidence - "important": 0.4, - "suggestion": 0.5, - "nitpick": 0.7, # Only keep nitpicks at high confidence + "critical": 0.2, + "important": 0.3, + "suggestion": 0.4, + "nitpick": 0.4, } ) @@ -115,11 +115,12 @@ class ScoringConfig(BaseModel): class CommentConfig(BaseModel): """Comment formatting and posting preferences.""" - min_severity: str = "suggestion" # Minimum severity to post (skip nitpicks by default) + min_severity: str = "nitpick" # Minimum severity to include in summary/comments max_comments: int = 25 # Cap inline comments to avoid overwhelming include_suggestions: bool = True # Include ```suggestion blocks include_dimension_attribution: bool = True # Show which dimension found it include_confidence: bool = True # Show confidence score + suggestion_mode: str = "comment" # comment | code severity_emojis: dict[str, str] = Field( default_factory=lambda: { @@ -214,6 +215,9 @@ def from_input(cls, review_input: ReviewInput) -> ReviewConfig: if review_input.hints: config.hints = review_input.hints + if hasattr(review_input, "suggestion_mode") and review_input.suggestion_mode: + config.comments.suggestion_mode = review_input.suggestion_mode + return config @classmethod diff --git a/src/pr_af/orchestrator.py b/src/pr_af/orchestrator.py index b43888d..c537e3f 100644 --- a/src/pr_af/orchestrator.py +++ b/src/pr_af/orchestrator.py @@ -492,16 +492,22 @@ async def _generate_output( comments: list[GitHubComment] = [] filtered_for_comments: list[ScoredFinding] = [] + skipped_severity = 0 + skipped_path = 0 + skipped_range = 0 for finding in scored_findings: if severity_rank.get(finding.severity, 0) < min_rank: + skipped_severity += 1 continue filtered_for_comments.append(finding) norm_path = self._normalize_path(finding.file_path) if not norm_path or norm_path not in diff_files or finding.line_start <= 0: + skipped_path += 1 continue ranges = diff_ranges.get(norm_path, []) in_range = any(start <= finding.line_start <= end for start, end in ranges) if not in_range: + skipped_range += 1 continue comments.append( GitHubComment( @@ -511,6 +517,14 @@ async def _generate_output( body=self._format_comment_body(finding), ) ) + print( + f"[PR-AF] Comment filtering: {len(scored_findings)} scored → " + f"{len(filtered_for_comments)} pass severity (skipped {skipped_severity}) → " + f"{len(filtered_for_comments) - skipped_path - skipped_range} in-diff " + f"(skipped {skipped_path} path, {skipped_range} range) → " + f"{len(comments)} inline comments", + flush=True, + ) comments = comments[: self.config.comments.max_comments] review_event = determine_review_event(filtered_for_comments) @@ -518,6 +532,8 @@ async def _generate_output( summary_body = self._format_summary( findings=filtered_for_comments, review_event=review_event, + intake=intake, + plan=plan, ) review = GitHubReview( @@ -769,41 +785,307 @@ def _build_gap_dimensions( def _format_comment_body(self, finding: ScoredFinding) -> str: emoji = self.config.comments.severity_emojis.get(finding.severity, "") - lines = [f"{emoji} **{finding.title}**".strip(), "", finding.body] + severity_label = finding.severity.upper() + lines = [f"{emoji} **[{severity_label}] {finding.title}**", ""] - if self.config.comments.include_suggestions and finding.suggestion: - lines.extend(["", "Suggested fix:", "```suggestion", finding.suggestion, "```"]) + lines.append(finding.body) if finding.evidence: - lines.extend(["", f"Evidence: {finding.evidence}"]) + lines.extend(["", "---", ""]) + evidence_lines = finding.evidence.strip().splitlines() + for ev_line in evidence_lines: + lines.append(f"> {ev_line}") + + if self.config.comments.include_suggestions and finding.suggestion: + suggestion_text = finding.suggestion.strip() + if self.config.comments.suggestion_mode == "code": + lines.extend(["", "```suggestion", suggestion_text, "```"]) + else: + lines.extend( + [ + "", + "**💡 Suggested Fix**", + "", + suggestion_text, + ] + ) meta_parts: list[str] = [] if self.config.comments.include_dimension_attribution: - meta_parts.append(f"Dimension: {finding.dimension_name}") + meta_parts.append(f"`{finding.dimension_name}`") if self.config.comments.include_confidence: - meta_parts.append(f"Confidence: {finding.confidence:.2f}") + pct = int(finding.confidence * 100) + meta_parts.append(f"confidence {pct}%") if meta_parts: - lines.extend(["", " | ".join(meta_parts)]) + lines.extend(["", f"---", f"*{' · '.join(meta_parts)}*"]) return "\n".join(lines).strip() - def _format_summary(self, findings: list[ScoredFinding], review_event: str) -> str: + @staticmethod + def _lang_from_path(path: str) -> str: + ext_map = { + ".py": "python", + ".js": "javascript", + ".jsx": "javascript", + ".ts": "typescript", + ".tsx": "typescript", + ".go": "go", + ".rs": "rust", + ".java": "java", + ".rb": "ruby", + ".swift": "swift", + ".kt": "kotlin", + ".cs": "csharp", + ".cpp": "cpp", + ".c": "c", + ".sh": "bash", + } + for ext, lang in ext_map.items(): + if path.endswith(ext): + return lang + return "" + + @staticmethod + def _wrap_as_comment(text: str, lang: str) -> str: + hash_langs = {"python", "ruby", "bash", "yaml", "perl"} + slash_langs = {"javascript", "typescript", "go", "java", "rust", "swift", "kotlin", "csharp", "cpp", "c"} + prefix = "# " if lang in hash_langs else "// " if lang in slash_langs else "# " + return "\n".join(f"{prefix}{line}" if line.strip() else "" for line in text.splitlines()) + + def _format_summary( + self, + findings: list[ScoredFinding], + review_event: str, + intake: IntakeResult | None = None, + plan: ReviewPlan | None = None, + ) -> str: by_severity: dict[str, int] = {"critical": 0, "important": 0, "suggestion": 0, "nitpick": 0} for finding in findings: by_severity[finding.severity] = by_severity.get(finding.severity, 0) + 1 + emojis = self.config.comments.severity_emojis + duration = round(time.monotonic() - self.started_at, 1) + + rating = self._compute_rating(by_severity, len(findings)) + + lines: list[str] = [ + f"## {rating['emoji']} PR-AF Review — **{rating['label']}**", + "", + f"*Automated multi-agent code review · " + f"[PR-AF](https://github.com/Agent-Field/agentfield) built with " + f"[AgentField](https://github.com/Agent-Field/agentfield)*", + "", + f"> **{len(findings)} findings** · " + f"{emojis.get('critical', '')} {by_severity.get('critical', 0)} critical · " + f"{emojis.get('important', '')} {by_severity.get('important', 0)} important · " + f"{emojis.get('suggestion', '')} {by_severity.get('suggestion', 0)} suggestions · " + f"{emojis.get('nitpick', '')} {by_severity.get('nitpick', 0)} nitpicks", + "", + ] + + if intake: + lines.extend( + [ + "
", + "PR Overview", + "", + intake.pr_summary, + "", + "
", + "", + ] + ) - return "\n".join( - [ - "## PR-AF Review Summary", - "", - f"Review decision: **{review_event}**", - f"- Total findings: {len(findings)}", - f"- Critical: {by_severity.get('critical', 0)}", - f"- Important: {by_severity.get('important', 0)}", - f"- Suggestions: {by_severity.get('suggestion', 0)}", - f"- Nitpicks: {by_severity.get('nitpick', 0)}", - ] + lines.extend(self._build_key_findings(findings)) + + if findings: + lines.extend( + [ + "
", + "All Findings by Severity", + "", + ] + ) + for sev in ("critical", "important", "suggestion", "nitpick"): + sev_findings = [f for f in findings if f.severity == sev] + if not sev_findings: + continue + lines.append(f"#### {emojis.get(sev, '')} {sev.title()} ({len(sev_findings)})") + lines.append("") + for f in sev_findings: + path_ref = f"`{self._normalize_path(f.file_path)}:{f.line_start}`" if f.file_path else "" + lines.append(f"- **{f.title}** {path_ref}") + lines.append("") + lines.extend(["
", ""]) + + lines.extend(self._build_review_details(findings, plan)) + + lines.extend(self._build_pipeline_stats(intake, duration)) + + lines.append(f"Review ID: `{self.review_id}`") + + return "\n".join(lines) + + def _compute_rating(self, by_severity: dict[str, int], total: int) -> dict[str, str]: + critical = by_severity.get("critical", 0) + important = by_severity.get("important", 0) + + if total == 0: + return {"emoji": "🟢", "label": "Looks Good", "grade": "A"} + if critical >= 3: + return {"emoji": "🔴", "label": "Needs Major Rework", "grade": "D"} + if critical >= 1: + return {"emoji": "🔴", "label": "Changes Required", "grade": "C"} + if important >= 5: + return {"emoji": "🟠", "label": "Several Issues", "grade": "C+"} + if important >= 2: + return {"emoji": "🟡", "label": "Minor Issues", "grade": "B"} + if important >= 1: + return {"emoji": "🟡", "label": "Mostly Good", "grade": "B+"} + return {"emoji": "🟢", "label": "Looks Good — Minor Suggestions", "grade": "A-"} + + def _build_key_findings(self, findings: list[ScoredFinding]) -> list[str]: + if not findings: + return ["**No issues found.** This PR looks clean across all review dimensions.", ""] + + lines: list[str] = [] + by_sev: dict[str, list[ScoredFinding]] = {} + for f in findings: + by_sev.setdefault(f.severity, []).append(f) + + blocking = by_sev.get("critical", []) + by_sev.get("important", []) + non_blocking = by_sev.get("suggestion", []) + by_sev.get("nitpick", []) + + lines.append("### Key Findings") + lines.append("") + + if blocking: + lines.append(f"**{len(blocking)} issue(s) should be addressed before merge:**") + lines.append("") + for f in blocking[:8]: + emoji = self.config.comments.severity_emojis.get(f.severity, "") + path_ref = f" (`{self._normalize_path(f.file_path)}:{f.line_start}`)" if f.file_path else "" + lines.append(f"- {emoji} **{f.title}**{path_ref} — {self._first_sentence(f.body)}") + if len(blocking) > 8: + lines.append(f"- … and {len(blocking) - 8} more (see All Findings by Severity)") + lines.append("") + + if non_blocking: + lines.append(f"**{len(non_blocking)} suggestion(s) and style note(s):**") + lines.append("") + for f in non_blocking[:5]: + emoji = self.config.comments.severity_emojis.get(f.severity, "") + path_ref = f" (`{self._normalize_path(f.file_path)}:{f.line_start}`)" if f.file_path else "" + lines.append(f"- {emoji} {f.title}{path_ref}") + if len(non_blocking) > 5: + lines.append(f"- … and {len(non_blocking) - 5} more (see All Findings by Severity)") + lines.append("") + + affected_files = sorted({self._normalize_path(f.file_path) for f in findings if f.file_path}) + if affected_files: + lines.append(f"**Files with findings:** {', '.join(f'`{p}`' for p in affected_files[:10])}") + if len(affected_files) > 10: + lines.append(f" … and {len(affected_files) - 10} more") + lines.append("") + + return lines + + def _build_review_details(self, findings: list[ScoredFinding], plan: ReviewPlan | None) -> list[str]: + lines: list[str] = [] + detail_parts: list[str] = [] + + if plan and plan.dimensions: + detail_parts.append(f"**Dimensions Analyzed ({len(plan.dimensions)}):**") + detail_parts.append("") + for dim in plan.dimensions: + detail_parts.append(f"- **{dim.name}** — {len(dim.target_files)} file(s)") + detail_parts.append("") + + sub_review_dims = {f.dimension_name for f in findings if "→" in f.dimension_name} + if sub_review_dims: + detail_parts.append(f"**Sub-Reviews Spawned ({len(sub_review_dims)} deep-dives):**") + detail_parts.append("") + for dim_name in sorted(sub_review_dims): + count = sum(1 for f in findings if f.dimension_name == dim_name) + detail_parts.append(f"- **{dim_name}** ({count} finding(s))") + detail_parts.append("") + + if self.cross_ref_count > 0 or self.adversary_confirmed_count > 0 or self.adversary_challenged_count > 0: + detail_parts.append("**Cross-Reference & Adversary Analysis:**") + detail_parts.append("") + if self.cross_ref_count > 0: + detail_parts.append(f"- **{self.cross_ref_count}** cross-change interaction(s) detected") + total_adv = self.adversary_confirmed_count + self.adversary_challenged_count + if total_adv > 0: + detail_parts.append( + f"- **{total_adv}** finding(s) adversarially tested: " + f"{self.adversary_confirmed_count} confirmed, " + f"{self.adversary_challenged_count} challenged" + ) + detail_parts.append("") + + if detail_parts: + lines.extend( + [ + "
", + "Review Process Details", + "", + *detail_parts, + "
", + "", + ] + ) + + return lines + + def _build_pipeline_stats(self, intake: IntakeResult | None, duration: float) -> list[str]: + cost_display = ( + f"${self.total_cost_usd:.4f}" if self.total_cost_usd > 0 else "N/A (provider does not report cost)" ) + exhaustion_reason = "" + if self.budget_exhausted: + elapsed = time.monotonic() - self.started_at + if elapsed > self.config.budget.max_duration_seconds: + exhaustion_reason = f" (timeout: {int(elapsed)}s > {self.config.budget.max_duration_seconds}s limit)" + elif self.total_cost_usd >= self.config.budget.max_cost_usd: + exhaustion_reason = ( + f" (cost: ${self.total_cost_usd:.2f} ≥ ${self.config.budget.max_cost_usd:.2f} limit)" + ) + + stats_rows = [ + f"| Duration | {duration}s |", + f"| Agent invocations | {self.agent_invocations} |", + f"| Coverage iterations | {self.coverage_iterations} |", + f"| Estimated cost | {cost_display} |", + f"| Budget exhausted | {'Yes' + exhaustion_reason if self.budget_exhausted else 'No'} |", + ] + if intake: + stats_rows.extend( + [ + f"| PR type | {intake.pr_type} |", + f"| Complexity | {intake.complexity} |", + ] + ) + + return [ + "
", + "Pipeline Stats", + "", + "| Metric | Value |", + "|--------|-------|", + *stats_rows, + "", + "
", + "", + ] + + @staticmethod + def _first_sentence(text: str) -> str: + text = text.strip().replace("\n", " ") + for sep in (". ", ".\n", "! ", "?\n"): + idx = text.find(sep) + if idx != -1 and idx < 200: + return text[: idx + 1] + return text[:200] + ("…" if len(text) > 200 else "") def _to_changed_file(self, file_change: Any) -> ChangedFile: return ChangedFile( diff --git a/src/pr_af/reasoners/harnesses.py b/src/pr_af/reasoners/harnesses.py index 59862d6..2fe54dd 100644 --- a/src/pr_af/reasoners/harnesses.py +++ b/src/pr_af/reasoners/harnesses.py @@ -387,7 +387,24 @@ async def review_dimension( f"Review prompt: {review_prompt}\n\n" f"Target files: {', '.join(target_files)}\n" f"Context files: {', '.join(ctx_files) if ctx_files else 'none'}\n\n" - f"Inspect target files deeply, use context files as needed, and return structured findings." + f"Inspect target files deeply, use context files as needed, and return structured findings.\n\n" + f"SEVERITY CALIBRATION (use the full range — do NOT default everything to nitpick):\n" + f"- critical: Bugs, data loss, security holes, crashes, silent corruption. " + f"Would block merge in any serious project.\n" + f"- important: Logic errors, missing validation, poor error handling, performance traps, " + f"API contract violations. Should be fixed before merge.\n" + f"- suggestion: Design improvements, better abstractions, cleaner patterns, " + f"edge cases worth handling. Recommended but not blocking.\n" + f"- nitpick: Style, naming, minor readability tweaks. Truly cosmetic only.\n\n" + f"A well-calibrated review of real code changes typically produces a MIX of severities. " + f"If all your findings are the same severity, recalibrate.\n\n" + f"FORMATTING REQUIREMENTS for finding fields:\n" + f"- body: Use GitHub Markdown. Bold key terms, use inline `code` for identifiers, " + f"use code blocks with language hints for code snippets.\n" + f"- evidence: Quote the specific code or behavior that supports your finding. " + f"Be precise — include function names, variable names, line references.\n" + f"- suggestion: Write a concise description of the recommended fix. " + f"Describe WHAT to change and WHY, as if writing a code comment for a colleague." f"{spawn_instruction}" ) result = await router.app.harness( diff --git a/src/pr_af/schemas/input.py b/src/pr_af/schemas/input.py index 9a48c96..4a798e3 100644 --- a/src/pr_af/schemas/input.py +++ b/src/pr_af/schemas/input.py @@ -46,6 +46,9 @@ class ReviewInput(BaseModel): dry_run: bool = False # Don't post to GitHub, just return findings post_pr_number: int | None = None # For local repo mode: which PR to post to + # Comment formatting + suggestion_mode: str = "comment" # comment | code — how suggestions are formatted + class GitHubPRData(BaseModel): """Data fetched from GitHub API for a pull request.""" From e68c0bbd77c2524db3f8dcd0abdddc91e1db54fe Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Tue, 10 Mar 2026 13:55:21 +0530 Subject: [PATCH 04/62] feat: deep review prompts, shallow clone fix, TrueNAS benchmark with LLM-as-judge evaluation - Rewrite all 7 harness prompts for architecture-level code review depth (anatomy, planning, review_dimension, cross_ref, adversary, intake, coverage) - Fix repo clone for large repos: shallow clone (--depth 1 --no-tags --no-checkout), 600s timeout, shallow PR ref fetch with 300s timeout - Improve coverage gap prompt in orchestrator - Add benchmark/truenas-middleware-18291/ with full dry run results: pr-af-result.json (25 findings, 8 critical), claude-code data (4 findings), EVALUATION.md comparing PR-AF vs Claude Code as LLM-as-a-judge --- .../truenas-middleware-18291/EVALUATION.md | 368 +++++ .../claude-code-inline-comments.json | 1038 ++++++++++++ .../claude-code-reviews.json | 402 +++++ .../pr-af-result.json | 1446 +++++++++++++++++ src/pr_af/app.py | 31 +- src/pr_af/orchestrator.py | 11 +- src/pr_af/reasoners/harnesses.py | 222 ++- 7 files changed, 3470 insertions(+), 48 deletions(-) create mode 100644 benchmark/truenas-middleware-18291/EVALUATION.md create mode 100644 benchmark/truenas-middleware-18291/claude-code-inline-comments.json create mode 100644 benchmark/truenas-middleware-18291/claude-code-reviews.json create mode 100644 benchmark/truenas-middleware-18291/pr-af-result.json diff --git a/benchmark/truenas-middleware-18291/EVALUATION.md b/benchmark/truenas-middleware-18291/EVALUATION.md new file mode 100644 index 0000000..2f7937e --- /dev/null +++ b/benchmark/truenas-middleware-18291/EVALUATION.md @@ -0,0 +1,368 @@ +# LLM-as-a-Judge Evaluation: PR-AF vs Claude Code +## truenas/middleware PR #18291 + +**Date**: 2026-03-10 +**PR**: [truenas/middleware#18291](https://github.com/truenas/middleware/pull/18291) — Replace py-libzfs with truenas_pylibzfs for ZFS dataset encryption +**Companion data**: `pr-af-result.json`, `claude-code-reviews.json`, `claude-code-inline-comments.json` (same directory) + +--- + +## Executive Summary + +This evaluation compares two automated PR review systems on the same pull request: a single-agent Claude Code review and PR-AF, a 7-phase multi-agent pipeline running on kimi-k2.5. PR-AF found substantially more issues by breadth (25 findings vs 4), but missed the two most impactful bugs — a decorator dispatch crash and a silent data-wiping bug — that Claude Code caught with exceptional precision. Neither system is strictly better. They have complementary failure modes. + +--- + +## 1. Methodology + +### What Was Compared + +| Dimension | Claude Code (claude[bot]) | PR-AF | +|---|---|---| +| Review type | Single-agent, inline GitHub comments | 7-phase multi-agent pipeline | +| Model | Claude (Anthropic) | openrouter/moonshotai/kimi-k2.5 | +| Duration | Near-instant (two passes: Feb 27, Mar 3) | ~60 minutes (3626.5 seconds) | +| Findings posted | 4 unique inline comments | 12 inline comments (filtered from 25) | +| Human reviewer | yocalebo (7 style/pattern comments) | N/A | + +### Evaluation Criteria + +1. **Recall** — Did the system find the real bugs? +2. **Precision** — Were the findings actually bugs? +3. **Evidence quality** — Was the reasoning sound and actionable? +4. **Severity calibration** — Were critical bugs labeled critical? +5. **Breadth** — Did the system cover multiple risk dimensions? + +### Limitations + +- Ground truth is incomplete. We don't have post-merge incident data to confirm which findings were real bugs vs theoretical. +- Claude Code's first pass ("No bugs found") is included in the timeline but not in the finding count — only the second pass findings are scored. +- PR-AF's adversary phase challenged 16/20 findings internally. We treat adversary-confirmed findings as higher confidence but do not automatically discard challenged ones. +- The human reviewer (yocalebo) found exclusively style/pattern issues. These are not scored as bugs but are noted for completeness. + +--- + +## 2. Reviewer Profiles + +### Claude Code (claude[bot]) + +Single-agent review integrated as a GitHub App. Reads the diff, produces inline comments. Two passes on this PR: + +- **Feb 27 (first pass)**: Summary only. "No bugs found." This is a significant miss — the bugs were present in the diff. +- **Mar 3 (second pass)**: 4 unique findings, 2 of which are critical and exceptionally well-evidenced. + +The second pass finding quality is high. The first pass failure suggests the system benefits from re-review, which it does not do architecturally by default. + +### PR-AF (Pull Request Agent Field) + +Multi-agent pipeline built on AgentField. Phases: + +``` +INTAKE → ANATOMY → PLANNING → REVIEW (parallel, 10 dimensions) → LAYER (cross-ref + adversary + coverage) → SYNTHESIS → OUTPUT +``` + +- 10 parallel review dimensions (security, concurrency, API compatibility, resource management, etc.) +- Adversary phase challenges each finding before it reaches output +- 25 raw findings, 20 sent to adversary, 4 confirmed, 16 challenged (score-reduced, not discarded) +- 12 inline comments posted after filtering + +The adversary phase is the system working as designed. A finding being "challenged" means its confidence score was reduced, not that it was wrong. + +--- + +## 3. The PR Under Review + +**truenas/middleware PR #18291** replaces the deprecated `py-libzfs` Python binding with `truenas_pylibzfs` across ZFS dataset encryption code paths. Changes span 8 files and touch: + +- Encryption key management (load, unload, change, inherit) +- KMIP key synchronization +- Pool and dataset creation/modification options +- Failover unlock logic + +The `pbkdf2iters` default and minimum were also raised from 350K/100K to 1.3M/1.3M — a security improvement that introduces a breaking API change. + +This is a high-risk refactor. The old and new libraries have different APIs, different error types, and different threading models. Any assumption carried over from py-libzfs that doesn't hold in truenas_pylibzfs is a latent bug. + +--- + +## 4. Finding-by-Finding Comparison + +### 4.1 Full Finding Map + +| ID | System | Severity | Description | Overlap / Status | +|---|---|---|---|---| +| CC-1 | Claude Code | CRITICAL | `@pass_thread_local_storage` direct-call crash in `sync_zfs_keys` | **PR-AF MISSED** | +| CC-2 | Claude Code | PRE-EXISTING | `ZFSKeyFormat` enum vs string comparison always False | **PR-AF MISSED** | +| CC-3 | Claude Code | IMPORTANT | `pbkdf2iters` inconsistency between pool.py and pool_dataset.py | **PARTIAL OVERLAP** with PR-1 + PR-2 | +| CC-4 | Claude Code | PRE-EXISTING | `existing_datasets` list[dict] vs str — KMIP cache always wiped | **PR-AF MISSED** | +| PR-1 | PR-AF | CRITICAL (0.95) | `pbkdf2iters` breaking change in `PoolCreateEncryptionOptions` (pool.py:139) | Partial overlap with CC-3 | +| PR-2 | PR-AF | CRITICAL (0.95) | `pbkdf2iters` breaking change in `PoolDatasetChangeKeyOptions` (pool_dataset.py:170) | Partial overlap with CC-3 | +| PR-3 | PR-AF | CRITICAL (0.95) | Failover unlock lock namespace mismatch (failover.py:553) | **CC MISSED** | +| PR-4 | PR-AF | CRITICAL (0.90) | `PoolCreateTopologySpecialVdev` now allows DRAID types (pool.py:180) | **CC MISSED** | +| PR-5 | PR-AF | CRITICAL (0.90) | `PoolScan` model lacks None/null support (pool_scrub.py:108) | **CC MISSED** | +| PR-6 | PR-AF | CRITICAL (0.85) | Inconsistent `ZFSError` comparison pattern (dataset_encryption_lock.py:223) | Different from CC-2 | +| PR-7 | PR-AF | CRITICAL (0.712) | TOCTOU race in `push_zfs_keys` cache (kmip/zfs_keys.py:66) | **CC MISSED** | +| PR-8 | PR-AF | CRITICAL (0.712) | TOCTOU race in `pull_zfs_keys` cache (kmip/zfs_keys.py:108) | **CC MISSED** | +| PR-9 | PR-AF | IMPORTANT (0.63) | `ZFSKeyAlreadyLoadedException` not caught (dataset_encryption_lock.py) | **CC MISSED** | +| PR-10 | PR-AF | IMPORTANT (0.62) | `PoolEntry.scan` type changed dict → PoolScan model | **CC MISSED** | +| PR-11 | PR-AF | IMPORTANT (0.61) | TOCTOU race in `load_key()` — check and load not atomic | **CC MISSED** | +| PR-12 | PR-AF | IMPORTANT (0.60) | Pool name validation relaxed, whitespace restriction removed | **CC MISSED** | +| PR-13 | PR-AF | IMPORTANT (0.59) | Lock/unlock namespace mismatch (dataset_encryption_lock.py) | **CC MISSED** | +| PR-14 | PR-AF | IMPORTANT (0.58) | `change_key` and `inherit_parent_encryption_properties` concurrent execution | **CC MISSED** | +| PR-15 | PR-AF | IMPORTANT (0.57) | Resource leaks in hot code path (dataset_encryption_info.py) | **CC MISSED** | +| PR-16 | PR-AF | IMPORTANT (0.56) | `open_resource()` lacks cleanup documentation | **CC MISSED** | +| PR-17 | PR-AF | IMPORTANT (0.55) | `PoolDatasetGetQuotaResult` return type expanded | **CC MISSED** | +| PR-18 | PR-AF | IMPORTANT (0.54) | ZFS resource objects not explicitly cleaned up after encryption ops | **CC MISSED** | +| PR-19 | PR-AF | IMPORTANT (0.53) | Error code mapping between py-libzfs and truenas_pylibzfs not verified | **CC MISSED** | +| PR-20 | PR-AF | IMPORTANT (0.52) | Database key sync silently removes keys on ANY ZFS error | **CC MISSED** | +| PR-21 | PR-AF | IMPORTANT (0.51) | `PoolDatasetCreateArgs` discriminator field may break clients | **CC MISSED** | +| PR-22 | PR-AF | IMPORTANT (0.50) | Unprotected cache access in `initialize_zfs_keys` | **CC MISSED** | +| PR-23 | PR-AF | IMPORTANT (0.48) | Broad exception handling in `check_key()` | **CC MISSED** | +| PR-24 | PR-AF | IMPORTANT (0.46) | KMIP pull adds datasets to failed list for ANY ZFS error | **CC MISSED** | +| PR-25 | PR-AF | IMPORTANT (0.44) | Async `reset_zfs_key` called without cache lock protection | **CC MISSED** | + +### 4.2 pbkdf2iters Overlap — Different Angles, Same Root + +CC-3 and PR-1+PR-2 both touch the `pbkdf2iters` change, but they frame it differently: + +- **Claude Code (CC-3)**: Flags the *inconsistency* — pool.py still has old defaults while pool_dataset.py has new ones. The concern is that users can create datasets at 350K iterations but then can't change keys without meeting the 1.3M minimum. +- **PR-AF (PR-1, PR-2)**: Flags each file separately as a *breaking API change* — any caller passing a value between 100K and 1.3M will now fail validation. + +These are complementary observations. CC-3 is about the cross-file inconsistency. PR-1/PR-2 are about the backward compatibility break. Both are valid. Neither fully subsumes the other. + +### 4.3 ZFSError vs ZFSKeyFormat — Different Bugs + +PR-6 and CC-2 both involve enum comparison issues but are distinct bugs: + +- **CC-2**: `ZFSKeyFormat(...) == ZFSKeyFormat.PASSPHRASE.value` — comparing an enum member to a string. Always False. Silently bypasses a security check. +- **PR-6**: `e.code == ZFSError.EZFS_CRYPTOFAILED` vs `ZFSError(e.code) == ZFSError.EZFS_*` — inconsistent comparison pattern across the codebase. May or may not produce wrong results depending on how `e.code` is typed. + +CC-2 is a confirmed logic bug with a clear security impact. PR-6 is a pattern inconsistency that may or may not be a bug depending on the library's type contracts. + +--- + +## 5. Critical Misses Analysis + +### 5.1 What PR-AF Missed + +#### CC-1: `@pass_thread_local_storage` Direct-Call Crash + +This is the most impactful finding in the entire review. `sync_zfs_keys` calls `push_zfs_keys` and `pull_zfs_keys` as direct Python method calls, but both methods are decorated with `@pass_thread_local_storage`, which injects a `tls` argument as the first positional parameter via middleware dispatch. + +```python +# sync_zfs_keys (no decorator, direct call) +def sync_zfs_keys(self, ids): + self.push_zfs_keys(ids) # ids binds to tls parameter → AttributeError on tls.lzh + self.pull_zfs_keys() # TypeError: missing required positional argument 'tls' +``` + +**Why PR-AF missed this**: The decorator dispatch mechanism is a framework-level concern, not a code-level concern. PR-AF's review dimensions focused on code behavior, API compatibility, concurrency, and resource management. None of these dimensions are specifically tuned to reason about how `@pass_thread_local_storage` transforms the calling convention of decorated methods. Catching this bug requires understanding that the decorator changes the method signature at dispatch time — a Python-specific framework semantic that isn't visible in the diff without knowing the decorator's implementation. + +This is a genuine gap in PR-AF's coverage. A "framework semantics" review dimension, or a prompt that explicitly asks "are there any methods that are called directly but decorated with middleware-injecting decorators?", would likely catch this. + +#### CC-4: `existing_datasets` list[dict] vs str — KMIP Cache Always Wiped + +```python +# existing_datasets is list[dict], k is str +self.zfs_keys = {k: v for k, v in self.zfs_keys.items() if k in existing_datasets} +# str in list[dict] is always False → dict comprehension always produces {} +``` + +Every call to `push_zfs_keys` or `pull_zfs_keys` silently wipes the entire KMIP key cache. This is a pre-existing bug, but it's a severe one — and it's in the exact code path this PR modifies. + +**Why PR-AF missed this**: This requires runtime simulation reasoning. The bug is invisible at the type level unless you trace `existing_datasets` back to its source and confirm it's `list[dict]` rather than `list[str]`. PR-AF's analysis appears to have treated the `in` check as correct without verifying the element type. This is a Python-specific type gotcha that requires following data flow across function boundaries. + +### 5.2 What Claude Code Missed + +Claude Code's second pass found 4 findings. It missed everything else PR-AF flagged. The most significant misses: + +**PR-3 (Failover lock namespace mismatch)**: `failover_dataset_unlock` vs `dataset_unlock_{id}` use different lock namespaces, allowing concurrent operations that should be mutually exclusive. This is a real concurrency bug exposed by the process pool removal in this PR. + +**PR-4 (DRAID type expansion)**: `PoolCreateTopologySpecialVdev` TypeAlias change silently allows DRAID vdev types in special vdev positions, which may not be valid. This is an API contract change with no validation. + +**PR-5 (PoolScan null safety)**: The new `PoolScan` model requires non-nullable fields that were nullable in the old dict representation. Existing callers passing `None` will break. + +**PR-7/PR-8 (TOCTOU races in KMIP cache)**: Check-then-use races in `push_zfs_keys` and `pull_zfs_keys`. These were adversary-challenged (score reduced to 0.712) but not dismissed. + +**PR-19 (Error code mapping not verified)**: The PR assumes py-libzfs and truenas_pylibzfs use the same error codes. If they don't, all error handling is silently wrong. This is a migration-specific risk that Claude Code didn't flag. + +Claude Code's first pass ("No bugs found") is worth noting separately. The bugs were present in the diff. The second pass found them. This suggests Claude Code benefits from re-review — which it doesn't do by default, but PR-AF does architecturally through its multi-phase pipeline. + +--- + +## 6. Strengths Analysis + +### PR-AF Strengths + +**Breadth across risk dimensions**: 10 parallel review dimensions means the system systematically covers concurrency, API compatibility, resource management, error handling, and security in every review. Claude Code's single-agent approach doesn't guarantee coverage of all dimensions. + +**API compatibility analysis**: PR-1, PR-2, PR-4, PR-5, PR-10, PR-17, PR-21 are all API contract changes that could break existing callers. This is a whole category of risk that Claude Code didn't surface. + +**Race condition analysis**: PR-3, PR-7, PR-8, PR-11, PR-13, PR-14, PR-22, PR-25 are concurrency findings. The process pool removal in this PR changes threading semantics, and PR-AF's concurrency dimension caught multiple resulting races. Claude Code found none. + +**Resource leak detection**: PR-15, PR-16, PR-18 flag resource management issues. These are easy to miss in code review because they don't cause immediate failures. + +**Cross-module analysis**: PR-AF's cross-reference phase found interactions between findings (8 cross-references). The lock namespace mismatch (PR-3, PR-13) is a cross-module issue that requires seeing both sides of the lock. + +**Adversary phase reduces false positives**: 16/20 findings were challenged, reducing their confidence scores. This is the system self-correcting. The 4 confirmed findings have higher signal value. + +### Claude Code Strengths + +**Exceptional evidence quality on critical findings**: CC-1 and CC-4 include step-by-step proof of the crash path. The reasoning is airtight. A developer reading CC-1 knows exactly what will happen, why, and where. + +**Framework-level understanding**: CC-1 required understanding how `@pass_thread_local_storage` transforms method signatures at dispatch time. This is deep, framework-specific reasoning that PR-AF's more general prompts didn't produce. + +**Security impact tracing**: CC-2 traces the enum comparison bug to its security consequence — the check that prevents passphrase-encrypted parents from having key-encrypted children is silently bypassed. PR-AF flagged a related pattern inconsistency (PR-6) but didn't connect it to the security model. + +**Concise, actionable output**: 4 findings, all real, all well-explained. Low noise. + +--- + +## 7. Evidence Quality Comparison + +Evidence quality measures how well a finding is supported — does it prove the bug, or just suggest it? + +| Finding | System | Evidence Quality | Notes | +|---|---|---|---| +| CC-1 (@pass_thread_local_storage) | Claude Code | 5/5 | Step-by-step crash path, decorator implementation traced | +| CC-2 (ZFSKeyFormat enum) | Claude Code | 5/5 | Python enum behavior proven, security impact traced | +| CC-3 (pbkdf2iters inconsistency) | Claude Code | 4/5 | Cross-file comparison, practical impact described | +| CC-4 (existing_datasets type) | Claude Code | 5/5 | Python semantics proven, data flow traced | +| PR-1/PR-2 (pbkdf2iters breaking) | PR-AF | 3/5 | Correct identification, less depth on caller impact | +| PR-3 (failover lock namespace) | PR-AF | 3/5 | Identifies mismatch, doesn't fully prove concurrent execution path | +| PR-6 (ZFSError comparison) | PR-AF | 2/5 | Pattern inconsistency noted, actual bug not confirmed | +| PR-7/PR-8 (TOCTOU races) | PR-AF | 2/5 | Adversary-challenged, theoretical without proof of concurrent access | +| PR-9 to PR-25 (IMPORTANT) | PR-AF | 1-3/5 | Variable quality, many are "could be a problem" rather than "is a problem" | + +Claude Code's evidence quality is consistently higher. PR-AF produces more findings but with lower average evidence quality. This is a precision/recall tradeoff — PR-AF casts a wider net, Claude Code aims more carefully. + +--- + +## 8. False Positive Analysis + +PR-AF's adversary phase challenged 16 of 20 findings. This is not a failure — it's the system working as designed. The adversary phase exists to reduce false positives before output. + +However, "challenged" doesn't mean "wrong." The 16 challenged findings had their confidence scores reduced (e.g., PR-7 dropped from 0.95 to 0.712) but were still included in the output. This is the right call — a 0.712-confidence race condition in KMIP key management is worth a developer's attention even if it's not confirmed. + +The practical question is: how many of the 25 PR-AF findings are real bugs? + +- **High confidence (adversary-confirmed, score > 0.85)**: PR-1, PR-2, PR-3 — likely real +- **Medium confidence (adversary-challenged, score 0.60-0.85)**: PR-4 through PR-9 — worth investigating +- **Lower confidence (score < 0.60)**: PR-10 through PR-25 — noise-to-signal ratio increases here + +Without post-merge incident data, we can't compute a precise false positive rate. But the adversary phase's 80% challenge rate suggests PR-AF's raw findings are noisy, and the filtering is doing real work. + +Claude Code's 4 findings are all credible. CC-1 and CC-4 are pre-existing bugs (not introduced by this PR) but are in modified code paths. CC-2 is a pre-existing security logic bug. CC-3 is a genuine inconsistency introduced by this PR. Zero obvious false positives. + +--- + +## 9. Scoring Rubric & Scorecard + +### Rubric + +| Metric | Definition | Scale | +|---|---|---| +| **Recall** | (True positives found) / (All real bugs) | 0.0 – 1.0 | +| **Precision** | (True positives) / (All findings posted) | 0.0 – 1.0 | +| **Evidence quality** | Average reasoning depth and actionability | 1 – 5 | +| **Severity calibration** | Were critical bugs labeled critical? | 1 – 5 | +| **Breadth** | Coverage across risk dimensions | 1 – 5 | +| **Practical actionability** | Can a developer act on this immediately? | 1 – 5 | + +### Assumptions for Scoring + +"Real bugs" for recall calculation: CC-1, CC-2, CC-3, CC-4, PR-1/PR-2 (pbkdf2iters breaking change), PR-3 (failover lock), PR-7/PR-8 (TOCTOU races). This is a conservative set of 8 distinct issues with reasonable confidence. Recall is calculated against this set. + +Note: CC-1 and CC-4 are pre-existing bugs in modified code. They count as real bugs because they're in the diff's code paths and the reviewer is expected to flag them. + +### Scorecard + +| Metric | Claude Code | PR-AF | Notes | +|---|---|---|---| +| **Recall** | 4/8 = **0.50** | 6/8 = **0.75** | CC missed PR-3, PR-7/PR-8. PR-AF missed CC-1, CC-4. | +| **Precision** | ~4/4 = **~1.00** | ~6/25 = **~0.24** | CC findings all credible. PR-AF has significant noise. | +| **Evidence quality** | **4.8 / 5** | **2.4 / 5** | CC findings are exceptionally well-evidenced. | +| **Severity calibration** | **4 / 5** | **3 / 5** | CC correctly labeled critical bugs. PR-AF over-labeled some IMPORTANT findings as CRITICAL. | +| **Breadth** | **2 / 5** | **5 / 5** | CC covered 2 risk dimensions. PR-AF covered 10. | +| **Practical actionability** | **5 / 5** | **3 / 5** | CC findings are immediately actionable. Many PR-AF findings need further investigation. | + +### Summary + +| System | Recall | Precision | Evidence | Severity | Breadth | Actionability | **Overall** | +|---|---|---|---|---|---|---|---| +| Claude Code | 0.50 | 1.00 | 4.8 | 4.0 | 2.0 | 5.0 | **3.47** | +| PR-AF | 0.75 | 0.24 | 2.4 | 3.0 | 5.0 | 3.0 | **3.07** | + +These scores are close. Neither system dominates. They have genuinely different strengths. + +--- + +## 10. Key Observations + +**1. Model vs system comparison.** PR-AF runs on kimi-k2.5, which is substantially cheaper than Claude. This is not a model-to-model comparison — it's a system-to-system comparison. PR-AF's multi-agent architecture compensates for a weaker base model through structured decomposition and adversarial self-review. + +**2. Claude Code's first pass failure.** The Feb 27 review said "No bugs found." The bugs were in the diff. The Mar 3 second pass found them. This is the strongest argument for multi-pass review — which PR-AF does architecturally. A single-pass system that misses everything on the first try provides false confidence. + +**3. PR-AF's adversary phase is working.** 16/20 findings challenged, scores reduced. This is not a sign of weakness — it's the system being honest about uncertainty. The alternative (posting all 25 findings at full confidence) would be worse. + +**4. The human reviewer found what neither system found.** yocalebo's 7 comments are all style/pattern issues — naming conventions, exception types, code structure. Neither automated system flagged these. Human reviewers and automated systems are complementary, not substitutes. + +**5. PR-AF's biggest gap is framework semantics.** CC-1 required understanding how `@pass_thread_local_storage` changes method calling conventions. This is not a general code analysis skill — it's specific knowledge about the middleware framework. PR-AF's prompts don't appear to include "check for framework-specific decorator semantics" as a review dimension. This is a fixable gap. + +**6. PR-AF found real concurrency bugs that nobody else found.** The failover lock namespace mismatch (PR-3), the TOCTOU races (PR-7, PR-8), and the concurrent execution risks (PR-14) are genuine issues exposed by the process pool removal. These are the kind of bugs that cause intermittent production failures and are very hard to find in code review without a dedicated concurrency analysis pass. + +**7. The pbkdf2iters finding illustrates different review philosophies.** Claude Code noticed the inconsistency between files (a developer-experience concern). PR-AF noticed the breaking API change in each file (a compatibility concern). Both are valid. A complete review needs both perspectives. + +--- + +## 11. Conclusions & Recommendations + +### What PR-AF Should Improve + +**1. Add a framework semantics review dimension.** The `@pass_thread_local_storage` miss is the most important gap. A prompt that asks "identify all methods decorated with middleware-injecting decorators and verify they are only called through the dispatch mechanism, not directly" would catch CC-1. This is a project-specific prompt that should be part of the ANATOMY phase's context extraction. + +**2. Improve data flow tracing for type bugs.** CC-4 required tracing `existing_datasets` back to its source to confirm it's `list[dict]`. PR-AF's analysis didn't do this. A "type flow" review dimension, or explicit prompting to verify the element types of collections used in `in` checks, would help. + +**3. Reduce noise in IMPORTANT findings.** PR-10 through PR-25 have scores below 0.65 and variable evidence quality. The adversary phase is already reducing scores, but the output still includes 17 IMPORTANT findings. A stricter output filter (e.g., only post findings with score > 0.60 and adversary-confirmed) would improve precision without much recall loss. + +**4. Improve evidence quality for posted findings.** PR-AF's findings often identify a pattern without proving it's a bug. Adding a "prove it" step — where the system must demonstrate the failure path before posting — would raise evidence quality and reduce false positives simultaneously. + +**5. Cross-reference with framework documentation.** For migration PRs (old library → new library), PR-AF should explicitly compare error codes, API contracts, and threading models between the old and new libraries. PR-19 (error code mapping not verified) is a good finding but needs more depth. + +### What Claude Code Should Improve + +**1. Multi-pass review by default.** The first pass missed everything. The second pass found critical bugs. This should not require manual re-triggering. + +**2. Add concurrency and API compatibility dimensions.** Claude Code found zero concurrency bugs and zero API compatibility issues. These are real risk categories in this PR. + +**3. Structured coverage tracking.** PR-AF's coverage phase ensures all files and risk dimensions are reviewed. Claude Code's single-agent approach has no equivalent guarantee. + +### Recommended Combined Workflow + +For high-risk PRs (security-critical, library migrations, concurrency changes): + +1. Run PR-AF for breadth — surface all risk dimensions, flag concurrency and API compatibility issues +2. Run Claude Code for depth — get high-confidence, well-evidenced findings on the most critical paths +3. Human reviewer for style/pattern — neither system catches naming conventions, exception patterns, or code structure concerns +4. Require adversary-confirmed PR-AF findings (score > 0.85) to be addressed before merge +5. Require all Claude Code findings to be addressed before merge + +This combination would have caught all 8 real bugs identified in this evaluation, with acceptable noise levels. + +--- + +## Appendix: Finding Count Summary + +| Category | Claude Code | PR-AF | +|---|---|---| +| Critical findings | 2 (+ 2 pre-existing) | 8 | +| Important findings | 0 | 17 | +| Total findings | 4 | 25 | +| Adversary-confirmed | N/A | 4 | +| Adversary-challenged | N/A | 16 | +| Posted inline | 4 (+ 4 duplicates) | 12 | +| Missed critical bugs | 2 (PR-3, PR-7/PR-8) | 2 (CC-1, CC-4) | + +--- + +*Evaluation produced by LLM-as-a-judge analysis. All findings sourced from `claude_code_review.json` and `pr_af_review.json` in this directory. No findings were invented or inferred beyond what the source data contains.* diff --git a/benchmark/truenas-middleware-18291/claude-code-inline-comments.json b/benchmark/truenas-middleware-18291/claude-code-inline-comments.json new file mode 100644 index 0000000..c831888 --- /dev/null +++ b/benchmark/truenas-middleware-18291/claude-code-inline-comments.json @@ -0,0 +1,1038 @@ +[ + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2849532373", + "pull_request_review_id": 3850511973, + "id": 2849532373, + "node_id": "PRRC_kwDOAIOmMM6p2GnV", + "diff_hunk": "@@ -0,0 +1,138 @@\n+from typing import Any, Iterable, Sequence, TypedDict, TYPE_CHECKING\n+\n+import truenas_pylibzfs\n+from truenas_pylibzfs import ZFSException\n+from middlewared.service import CallError\n+\n+if TYPE_CHECKING:\n+ from middlewared.service import ServiceContext\n+\n+\n+class EncryptionProperties(TypedDict, total=False):\n+ keyformat: Any\n+ keylocation: str\n+ pbkdf2iters: Any\n+\n+\n+def load_key(", + "path": "src/middlewared/middlewared/plugins/zfs/dataset_encryption.py", + "commit_id": "2ced671986f6cadbd599d54b2b780f85c320fb1d", + "original_commit_id": "2ced671986f6cadbd599d54b2b780f85c320fb1d", + "user": { + "login": "yocalebo", + "id": 30729806, + "node_id": "MDQ6VXNlcjMwNzI5ODA2", + "avatar_url": "https://avatars.githubusercontent.com/u/30729806?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/yocalebo", + "html_url": "https://github.com/yocalebo", + "followers_url": "https://api.github.com/users/yocalebo/followers", + "following_url": "https://api.github.com/users/yocalebo/following{/other_user}", + "gists_url": "https://api.github.com/users/yocalebo/gists{/gist_id}", + "starred_url": "https://api.github.com/users/yocalebo/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/yocalebo/subscriptions", + "organizations_url": "https://api.github.com/users/yocalebo/orgs", + "repos_url": "https://api.github.com/users/yocalebo/repos", + "events_url": "https://api.github.com/users/yocalebo/events{/privacy}", + "received_events_url": "https://api.github.com/users/yocalebo/received_events", + "type": "User", + "user_view_type": "public", + "site_admin": false + }, + "body": "I don't like this approach. IIRC the other plugins that I wrote get an `open_handle` passed into the function. We need to do that instead, otherwise, every time this function is called it opens a libzfs handle...which isn't the worst but we've specifically designed around it.", + "created_at": "2026-02-24T21:03:40Z", + "updated_at": "2026-02-24T21:03:44Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2849532373", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2849532373" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2849532373" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2849532373/reactions", + "total_count": 0, + "+1": 0, + "-1": 0, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 17, + "side": "RIGHT", + "author_association": "CONTRIBUTOR", + "original_position": 17, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872438785", + "pull_request_review_id": 3876201194, + "id": 2872438785, + "node_id": "PRRC_kwDOAIOmMM6rNfAB", + "diff_hunk": "@@ -338,6 +342,55 @@ def nest_paths(self, flat_list: list[dict[str, typing.Any]]) -> list[dict[str, t\n roots.append(item)\n return roots\n \n+ @private\n+ @pass_thread_local_storage\n+ def load_key(self, tls, id_: str, **kwargs) -> None:", + "path": "src/middlewared/middlewared/plugins/zfs/resource_crud.py", + "commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "original_commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "user": { + "login": "yocalebo", + "id": 30729806, + "node_id": "MDQ6VXNlcjMwNzI5ODA2", + "avatar_url": "https://avatars.githubusercontent.com/u/30729806?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/yocalebo", + "html_url": "https://github.com/yocalebo", + "followers_url": "https://api.github.com/users/yocalebo/followers", + "following_url": "https://api.github.com/users/yocalebo/following{/other_user}", + "gists_url": "https://api.github.com/users/yocalebo/gists{/gist_id}", + "starred_url": "https://api.github.com/users/yocalebo/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/yocalebo/subscriptions", + "organizations_url": "https://api.github.com/users/yocalebo/orgs", + "repos_url": "https://api.github.com/users/yocalebo/repos", + "events_url": "https://api.github.com/users/yocalebo/events{/privacy}", + "received_events_url": "https://api.github.com/users/yocalebo/received_events", + "type": "User", + "user_view_type": "public", + "site_admin": false + }, + "body": "The positional argument of `id_` should be changed to something more relevant that also matches the other patterns in this file.", + "created_at": "2026-03-02T13:25:17Z", + "updated_at": "2026-03-02T13:29:42Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2872438785", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872438785" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2872438785" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872438785/reactions", + "total_count": 0, + "+1": 0, + "-1": 0, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 347, + "side": "RIGHT", + "author_association": "CONTRIBUTOR", + "original_position": 17, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872444154", + "pull_request_review_id": 3876201194, + "id": 2872444154, + "node_id": "PRRC_kwDOAIOmMM6rNgT6", + "diff_hunk": "@@ -338,6 +342,55 @@ def nest_paths(self, flat_list: list[dict[str, typing.Any]]) -> list[dict[str, t\n roots.append(item)\n return roots\n \n+ @private\n+ @pass_thread_local_storage\n+ def load_key(self, tls, id_: str, **kwargs) -> None:\n+ \"\"\"Load the encryption key for dataset `id_`.", + "path": "src/middlewared/middlewared/plugins/zfs/resource_crud.py", + "commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "original_commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "user": { + "login": "yocalebo", + "id": 30729806, + "node_id": "MDQ6VXNlcjMwNzI5ODA2", + "avatar_url": "https://avatars.githubusercontent.com/u/30729806?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/yocalebo", + "html_url": "https://github.com/yocalebo", + "followers_url": "https://api.github.com/users/yocalebo/followers", + "following_url": "https://api.github.com/users/yocalebo/following{/other_user}", + "gists_url": "https://api.github.com/users/yocalebo/gists{/gist_id}", + "starred_url": "https://api.github.com/users/yocalebo/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/yocalebo/subscriptions", + "organizations_url": "https://api.github.com/users/yocalebo/orgs", + "repos_url": "https://api.github.com/users/yocalebo/repos", + "events_url": "https://api.github.com/users/yocalebo/events{/privacy}", + "received_events_url": "https://api.github.com/users/yocalebo/received_events", + "type": "User", + "user_view_type": "public", + "site_admin": false + }, + "body": "Please update the docstrings to match the pattern that other methods in this file follow. (i.e. (datasets and volumes))", + "created_at": "2026-03-02T13:26:11Z", + "updated_at": "2026-03-02T13:29:42Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2872444154", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872444154" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2872444154" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872444154/reactions", + "total_count": 0, + "+1": 0, + "-1": 0, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 348, + "side": "RIGHT", + "author_association": "CONTRIBUTOR", + "original_position": 18, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872447573", + "pull_request_review_id": 3876201194, + "id": 2872447573, + "node_id": "PRRC_kwDOAIOmMM6rNhJV", + "diff_hunk": "@@ -338,6 +342,55 @@ def nest_paths(self, flat_list: list[dict[str, typing.Any]]) -> list[dict[str, t\n roots.append(item)\n return roots\n \n+ @private\n+ @pass_thread_local_storage\n+ def load_key(self, tls, id_: str, **kwargs) -> None:\n+ \"\"\"Load the encryption key for dataset `id_`.\n+\n+ Raises CallError if the dataset is not encrypted, the key is already\n+ loaded, or the ZFS operation fails.\n+\n+ `key` (str | bytes) and `key_location` (str) are mutually exclusive.\n+ Pass `key` as str for hex/passphrase keyformats or as bytes for raw\n+ keyformat. Key material is passed to ZFS via an in-memory file and\n+ never written to disk.\n+ \"\"\"\n+ return load_key(self.context, tls, id_, **kwargs)", + "path": "src/middlewared/middlewared/plugins/zfs/resource_crud.py", + "commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "original_commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "user": { + "login": "yocalebo", + "id": 30729806, + "node_id": "MDQ6VXNlcjMwNzI5ODA2", + "avatar_url": "https://avatars.githubusercontent.com/u/30729806?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/yocalebo", + "html_url": "https://github.com/yocalebo", + "followers_url": "https://api.github.com/users/yocalebo/followers", + "following_url": "https://api.github.com/users/yocalebo/following{/other_user}", + "gists_url": "https://api.github.com/users/yocalebo/gists{/gist_id}", + "starred_url": "https://api.github.com/users/yocalebo/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/yocalebo/subscriptions", + "organizations_url": "https://api.github.com/users/yocalebo/orgs", + "repos_url": "https://api.github.com/users/yocalebo/repos", + "events_url": "https://api.github.com/users/yocalebo/events{/privacy}", + "received_events_url": "https://api.github.com/users/yocalebo/received_events", + "type": "User", + "user_view_type": "public", + "site_admin": false + }, + "body": "This doesn't come close to matching the behavior of the other methods that have been written in this file. Please review the other methods in this file and take note of the the zfs error exceptions that are raised.", + "created_at": "2026-03-02T13:26:48Z", + "updated_at": "2026-03-02T13:29:42Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2872447573", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872447573" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2872447573" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872447573/reactions", + "total_count": 0, + "+1": 0, + "-1": 0, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 358, + "side": "RIGHT", + "author_association": "CONTRIBUTOR", + "original_position": 28, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872454096", + "pull_request_review_id": 3876201194, + "id": 2872454096, + "node_id": "PRRC_kwDOAIOmMM6rNivQ", + "diff_hunk": "@@ -0,0 +1,112 @@\n+import threading", + "path": "src/middlewared/middlewared/plugins/zfs/dataset_encryption.py", + "commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "original_commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "user": { + "login": "yocalebo", + "id": 30729806, + "node_id": "MDQ6VXNlcjMwNzI5ODA2", + "avatar_url": "https://avatars.githubusercontent.com/u/30729806?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/yocalebo", + "html_url": "https://github.com/yocalebo", + "followers_url": "https://api.github.com/users/yocalebo/followers", + "following_url": "https://api.github.com/users/yocalebo/following{/other_user}", + "gists_url": "https://api.github.com/users/yocalebo/gists{/gist_id}", + "starred_url": "https://api.github.com/users/yocalebo/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/yocalebo/subscriptions", + "organizations_url": "https://api.github.com/users/yocalebo/orgs", + "repos_url": "https://api.github.com/users/yocalebo/repos", + "events_url": "https://api.github.com/users/yocalebo/events{/privacy}", + "received_events_url": "https://api.github.com/users/yocalebo/received_events", + "type": "User", + "user_view_type": "public", + "site_admin": false + }, + "body": "The name of this file should not be \"dataset_encryption.py\". Name it \"encryption.py\" or something that follows paradigm of other files in this directory.", + "created_at": "2026-03-02T13:28:07Z", + "updated_at": "2026-03-02T13:29:42Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2872454096", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872454096" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2872454096" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872454096/reactions", + "total_count": 0, + "+1": 0, + "-1": 0, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 1, + "side": "RIGHT", + "author_association": "CONTRIBUTOR", + "original_position": 1, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872461390", + "pull_request_review_id": 3876201194, + "id": 2872461390, + "node_id": "PRRC_kwDOAIOmMM6rNkhO", + "diff_hunk": "@@ -0,0 +1,112 @@\n+import threading\n+from typing import Iterable, Literal, NotRequired, TypedDict, TYPE_CHECKING, cast\n+\n+from truenas_pylibzfs import ZFSException\n+from middlewared.service import CallError\n+\n+if TYPE_CHECKING:\n+ from middlewared.service import ServiceContext\n+\n+\n+class EncryptionProperties(TypedDict, total=False):\n+ keyformat: Literal['hex', 'passphrase', 'raw']\n+ keylocation: str\n+ pbkdf2iters: int | None\n+\n+\n+class CheckKeyParams(TypedDict):\n+ id_: str\n+ key: NotRequired[str | bytes]\n+ key_location: NotRequired[str]\n+\n+\n+class CheckKeyResult(TypedDict):\n+ result: bool | None\n+ error: str | None\n+\n+\n+def load_key(ctx: 'ServiceContext', tls: threading.local, id_: str, **kwargs) -> None:", + "path": "src/middlewared/middlewared/plugins/zfs/dataset_encryption.py", + "commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "original_commit_id": "f20e1d231d9276a131dead5ea78803ef8fab52ad", + "user": { + "login": "yocalebo", + "id": 30729806, + "node_id": "MDQ6VXNlcjMwNzI5ODA2", + "avatar_url": "https://avatars.githubusercontent.com/u/30729806?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/yocalebo", + "html_url": "https://github.com/yocalebo", + "followers_url": "https://api.github.com/users/yocalebo/followers", + "following_url": "https://api.github.com/users/yocalebo/following{/other_user}", + "gists_url": "https://api.github.com/users/yocalebo/gists{/gist_id}", + "starred_url": "https://api.github.com/users/yocalebo/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/yocalebo/subscriptions", + "organizations_url": "https://api.github.com/users/yocalebo/orgs", + "repos_url": "https://api.github.com/users/yocalebo/repos", + "events_url": "https://api.github.com/users/yocalebo/events{/privacy}", + "received_events_url": "https://api.github.com/users/yocalebo/received_events", + "type": "User", + "user_view_type": "public", + "site_admin": false + }, + "body": "These methods follow their own pattern and completely ignore how other functions have been implemented in this directory. I don't want to raise `CallError` in this file. We need to catch known zfs exceptions and raise custom exceptions with proper errnos (cf. \"mount_unmount_impl.py\").", + "created_at": "2026-03-02T13:29:29Z", + "updated_at": "2026-03-02T13:29:42Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2872461390", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872461390" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2872461390" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2872461390/reactions", + "total_count": 0, + "+1": 0, + "-1": 0, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 28, + "side": "RIGHT", + "author_association": "CONTRIBUTOR", + "original_position": 28, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879306118", + "pull_request_review_id": 3883749924, + "id": 2879306118, + "node_id": "PRRC_kwDOAIOmMM6rnrmG", + "diff_hunk": "@@ -167,37 +168,48 @@ def sync_db_keys(self, job, name=None):\n # It is possible we have a pool configured but for some mistake/reason the pool did not import like\n # during repair disks were not plugged in and system was booted, in such cases we would like to not\n # remove the encryption keys from the database.\n- for root_ds in {pool['name'] for pool in self.middleware.call_sync('pool.query')} - {\n- ds['id'] for ds in self.middleware.call_sync(\n- 'pool.dataset.query', [], {'extra': {'retrieve_children': False, 'properties': []}}\n- )\n- }:\n+ for root_ds in (", + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "commit_id": "3f933a880207082b67be6b664f5f79b6b7472f08", + "original_commit_id": "3f933a880207082b67be6b664f5f79b6b7472f08", + "user": { + "login": "yocalebo", + "id": 30729806, + "node_id": "MDQ6VXNlcjMwNzI5ODA2", + "avatar_url": "https://avatars.githubusercontent.com/u/30729806?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/yocalebo", + "html_url": "https://github.com/yocalebo", + "followers_url": "https://api.github.com/users/yocalebo/followers", + "following_url": "https://api.github.com/users/yocalebo/following{/other_user}", + "gists_url": "https://api.github.com/users/yocalebo/gists{/gist_id}", + "starred_url": "https://api.github.com/users/yocalebo/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/yocalebo/subscriptions", + "organizations_url": "https://api.github.com/users/yocalebo/orgs", + "repos_url": "https://api.github.com/users/yocalebo/repos", + "events_url": "https://api.github.com/users/yocalebo/events{/privacy}", + "received_events_url": "https://api.github.com/users/yocalebo/received_events", + "type": "User", + "user_view_type": "public", + "site_admin": false + }, + "body": "nested for loops with inner comprehension.....gross. Let's make this part not suck as much please", + "created_at": "2026-03-03T16:34:32Z", + "updated_at": "2026-03-03T16:34:32Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2879306118", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879306118" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2879306118" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879306118/reactions", + "total_count": 0, + "+1": 0, + "-1": 0, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 171, + "side": "RIGHT", + "author_association": "CONTRIBUTOR", + "original_position": 123, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879314036", + "pull_request_review_id": 3883759592, + "id": 2879314036, + "node_id": "PRRC_kwDOAIOmMM6rnth0", + "diff_hunk": "@@ -214,11 +219,15 @@ def unlock(self, job, id_, options):\n \n job.set_progress(int(name_i / len(names) * 90 + 0.5), f'Unlocking {name!r}')\n try:\n- self.middleware.call_sync(\n- 'zfs.dataset.load_key', name, {'key': datasets[name]['key'], 'mount': False}\n- )\n- except CallError as e:\n- failed[name]['error'] = 'Invalid Key' if 'incorrect key provided' in str(e).lower() else str(e)\n+ load_key(tls, name, key=datasets[name]['key'])\n+ except ZFSException as e:\n+ if ZFSError(e.code) == ZFSError.EZFS_CRYPTOFAILED:", + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "commit_id": "3f933a880207082b67be6b664f5f79b6b7472f08", + "original_commit_id": "3f933a880207082b67be6b664f5f79b6b7472f08", + "user": { + "login": "yocalebo", + "id": 30729806, + "node_id": "MDQ6VXNlcjMwNzI5ODA2", + "avatar_url": "https://avatars.githubusercontent.com/u/30729806?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/yocalebo", + "html_url": "https://github.com/yocalebo", + "followers_url": "https://api.github.com/users/yocalebo/followers", + "following_url": "https://api.github.com/users/yocalebo/following{/other_user}", + "gists_url": "https://api.github.com/users/yocalebo/gists{/gist_id}", + "starred_url": "https://api.github.com/users/yocalebo/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/yocalebo/subscriptions", + "organizations_url": "https://api.github.com/users/yocalebo/orgs", + "repos_url": "https://api.github.com/users/yocalebo/repos", + "events_url": "https://api.github.com/users/yocalebo/events{/privacy}", + "received_events_url": "https://api.github.com/users/yocalebo/received_events", + "type": "User", + "user_view_type": "public", + "site_admin": false + }, + "body": "You don't need to create another instance of ZFSError, you can just do `if e.code == ZFSError.EZFS_CRYPTOFAILED`", + "created_at": "2026-03-03T16:35:58Z", + "updated_at": "2026-03-03T16:35:58Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2879314036", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879314036" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2879314036" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879314036/reactions", + "total_count": 0, + "+1": 0, + "-1": 0, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 224, + "side": "RIGHT", + "author_association": "CONTRIBUTOR", + "original_position": 38, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879626077", + "pull_request_review_id": 3884111323, + "id": 2879626077, + "node_id": "PRRC_kwDOAIOmMM6ro5td", + "diff_hunk": "@@ -50,7 +52,8 @@ def get_encrypted_datasets(self, filters):\n return rv\n \n @private\n- def push_zfs_keys(self, ids=None):\n+ @pass_thread_local_storage\n+ def push_zfs_keys(self, tls, ids=None):", + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "commit_id": "5be20327222bf023533f2dbd7d143645f692a372", + "original_commit_id": "8db5fce3a922f1296d588f6c7f0532e6d6e465f0", + "user": { + "login": "claude[bot]", + "id": 209825114, + "node_id": "BOT_kgDODIGtWg", + "avatar_url": "https://avatars.githubusercontent.com/in/1236702?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/claude%5Bbot%5D", + "html_url": "https://github.com/apps/claude", + "followers_url": "https://api.github.com/users/claude%5Bbot%5D/followers", + "following_url": "https://api.github.com/users/claude%5Bbot%5D/following{/other_user}", + "gists_url": "https://api.github.com/users/claude%5Bbot%5D/gists{/gist_id}", + "starred_url": "https://api.github.com/users/claude%5Bbot%5D/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/claude%5Bbot%5D/subscriptions", + "organizations_url": "https://api.github.com/users/claude%5Bbot%5D/orgs", + "repos_url": "https://api.github.com/users/claude%5Bbot%5D/repos", + "events_url": "https://api.github.com/users/claude%5Bbot%5D/events{/privacy}", + "received_events_url": "https://api.github.com/users/claude%5Bbot%5D/received_events", + "type": "Bot", + "user_view_type": "public", + "site_admin": false + }, + "body": "\ud83d\udd34 `sync_zfs_keys` (line ~130) calls `self.push_zfs_keys(ids)` and `self.pull_zfs_keys()` as direct Python method calls, but both methods now require `tls` as a positional parameter due to `@pass_thread_local_storage`. Since `sync_zfs_keys` lacks this decorator and bypasses middleware dispatch, `push_zfs_keys(ids)` binds `ids` to the `tls` parameter (causing `AttributeError` on `tls.lzh`), and `pull_zfs_keys()` raises `TypeError` for the missing required `tls` arg. This completely breaks KMIP ZFS key synchronization. Fix by either routing through `self.middleware.call_sync(\"kmip.push_zfs_keys\", ids)` / `self.middleware.call_sync(\"kmip.pull_zfs_keys\")`, or by adding `@pass_thread_local_storage` to `sync_zfs_keys` and passing `tls` through explicitly.\n\n
\nExtended reasoning...\n\n## What the bug is\n\n`push_zfs_keys` and `pull_zfs_keys` were updated in this PR to use `@pass_thread_local_storage`, adding `tls` as their first positional parameter (after `self`). Their signatures are now:\n- `push_zfs_keys(self, tls, ids=None)`\n- `pull_zfs_keys(self, tls)`\n\nHowever, `sync_zfs_keys` (which calls both methods) was NOT updated with `@pass_thread_local_storage` and still calls them as direct Python method calls at lines ~137 and ~141.\n\n## How @pass_thread_local_storage works\n\nThe `@pass_thread_local_storage` decorator (defined in `decorators.py:209-222`) only sets `fn._pass_thread_local_storage = True` on the function object and returns the function **unmodified**. It does NOT wrap the function or inject any arguments. The actual `tls` injection only happens when the method is invoked through middleware dispatch (`middleware.call_sync()`) or the Job framework, which check for the `_pass_thread_local_storage` flag and inject the thread-local storage object.\n\n## Step-by-step proof of failure\n\n**Case 1: `self.push_zfs_keys(ids)` where `ids` is a list like `[42]`:**\n1. `sync_zfs_keys` is called with `ids=[42]` (e.g., from `insert_or_update_encrypted_record`)\n2. `self.push_zfs_keys([42])` is called as a direct Python method call\n3. Python binds: `self=self`, `tls=[42]`, `ids=None` (default)\n4. Inside `push_zfs_keys`, `check_key(tls, ds[name], key=...)` is called where `tls` is `[42]`\n5. `check_key` calls `open_resource(tls, dataset)` which calls `tls.lzh.open_resource(...)` \n6. `[42].lzh` raises `AttributeError: list object has no attribute lzh`\n\n**Case 2: `self.pull_zfs_keys()`:**\n1. `sync_zfs_keys` calls `self.pull_zfs_keys()` with no arguments\n2. `pull_zfs_keys(self, tls)` requires `tls` as a positional argument with no default\n3. Immediate `TypeError: pull_zfs_keys() missing 1 required positional argument: tls`\n\n## Impact\n\nThis completely breaks KMIP ZFS key synchronization. The `sync_zfs_keys` method is called from `insert_or_update_encrypted_record` (when KMIP is enabled and managing ZFS keys) and from itself as a periodic sync job. Any TrueNAS Enterprise deployment using KMIP for ZFS key management will fail to push or pull encryption keys after this PR is merged.\n\n## How to fix\n\nEither:\n1. Route calls through middleware dispatch: `self.middleware.call_sync(kmip.push_zfs_keys, ids)` and `self.middleware.call_sync(kmip.pull_zfs_keys)`, which will handle `tls` injection automatically.\n2. Add `@pass_thread_local_storage` to `sync_zfs_keys` itself and pass `tls` through: `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)`. Note that `sync_zfs_keys` also has `@job`, so `tls` would need to be positioned correctly relative to the `job` parameter.\n\n**Note regarding potential duplicate:** A verifier flagged this as a possible duplicate of bug_007. Whether or not that is the case, the bug itself is confirmed by all verifiers and must be fixed before merging.\n\n
", + "created_at": "2026-03-03T17:36:39Z", + "updated_at": "2026-03-03T17:36:39Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2879626077", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879626077" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2879626077" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879626077/reactions", + "total_count": 2, + "+1": 1, + "-1": 1, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": 53, + "original_start_line": 53, + "start_side": "RIGHT", + "line": 56, + "original_line": 56, + "side": "RIGHT", + "author_association": "NONE", + "original_position": 16, + "position": 16, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879626085", + "pull_request_review_id": 3884111323, + "id": 2879626085, + "node_id": "PRRC_kwDOAIOmMM6ro5tl", + "diff_hunk": "@@ -233,23 +232,23 @@ async def inherit_parent_encryption_properties(self, id_):\n elif '/' not in id_:\n raise CallError('Root datasets do not have a parent and cannot inherit encryption settings')\n else:\n- parent = await self.middleware.call(\n+ parent = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', id_.rsplit('/', 1)[0], {\n 'encryption': True,\n }\n )\n if not parent['encrypted']:\n raise CallError('This operation requires the parent dataset to be encrypted')\n else:\n- parent_encrypted_root = await self.middleware.call(\n+ parent_encrypted_root = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', parent['encryption_root'], {\n 'encryption': True,\n }\n )\n if ZFSKeyFormat(parent_encrypted_root['key_format']['value']) == ZFSKeyFormat.PASSPHRASE.value:", + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "commit_id": "14d2ef618892e058b5864226929595fe04eb9eca", + "original_commit_id": "8db5fce3a922f1296d588f6c7f0532e6d6e465f0", + "user": { + "login": "claude[bot]", + "id": 209825114, + "node_id": "BOT_kgDODIGtWg", + "avatar_url": "https://avatars.githubusercontent.com/in/1236702?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/claude%5Bbot%5D", + "html_url": "https://github.com/apps/claude", + "followers_url": "https://api.github.com/users/claude%5Bbot%5D/followers", + "following_url": "https://api.github.com/users/claude%5Bbot%5D/following{/other_user}", + "gists_url": "https://api.github.com/users/claude%5Bbot%5D/gists{/gist_id}", + "starred_url": "https://api.github.com/users/claude%5Bbot%5D/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/claude%5Bbot%5D/subscriptions", + "organizations_url": "https://api.github.com/users/claude%5Bbot%5D/orgs", + "repos_url": "https://api.github.com/users/claude%5Bbot%5D/repos", + "events_url": "https://api.github.com/users/claude%5Bbot%5D/events{/privacy}", + "received_events_url": "https://api.github.com/users/claude%5Bbot%5D/received_events", + "type": "Bot", + "user_view_type": "public", + "site_admin": false + }, + "body": "\ud83d\udfe3 Pre-existing bug: ZFSKeyFormat(...) == ZFSKeyFormat.PASSPHRASE.value compares an enum member to a string (\"PASSPHRASE\"), which always evaluates to False since ZFSKeyFormat is a plain enum.Enum, not StrEnum. This means the security check that prevents passphrase-encrypted parents from having key-encrypted children is silently bypassed. The fix is to remove .value so it reads == ZFSKeyFormat.PASSPHRASE (enum-to-enum), consistent with every other comparison in the codebase.\n\n
\nExtended reasoning...\n\n## Bug analysis\n\nZFSKeyFormat is defined as a plain enum.Enum in src/middlewared/middlewared/plugins/pool_/utils.py:213. In Python, a plain enum member never compares equal to its .value string:\n\n```python\n>>> from enum import Enum\n>>> class ZFSKeyFormat(Enum):\n... PASSPHRASE = \"PASSPHRASE\"\n>>> ZFSKeyFormat(\"PASSPHRASE\") == ZFSKeyFormat.PASSPHRASE.value\nFalse # Comparing enum member to string \"PASSPHRASE\"\n>>> ZFSKeyFormat(\"PASSPHRASE\") == ZFSKeyFormat.PASSPHRASE\nTrue # Correct: enum member to enum member\n```\n\n## Affected code path\n\nOn line 248 of dataset_encryption_operations.py, inside inherit_parent_encryption_properties:\n\n```python\nif ZFSKeyFormat(parent_encrypted_root[\"key_format\"][\"value\"]) == ZFSKeyFormat.PASSPHRASE.value:\n```\n\nZFSKeyFormat(parent_encrypted_root[\"key_format\"][\"value\"]) constructs a ZFSKeyFormat enum member (e.g. ZFSKeyFormat.PASSPHRASE), then compares it to ZFSKeyFormat.PASSPHRASE.value which is the string \"PASSPHRASE\". This always returns False.\n\n## Why existing code does not prevent it\n\nPython does not warn or error on comparing an enum to a string - it simply returns False. There are no type checks or runtime guards catching this mismatch. The code compiles and runs without any error; it just never enters the if block.\n\n## Impact\n\nBecause this condition is always False, the security validation that checks whether a passphrase-encrypted parent has key-encrypted children is completely dead code. A user could call inherit_parent_encryption_properties and inherit encryption from a passphrase-encrypted parent even when key-encrypted children exist - an operation the code was explicitly designed to prevent.\n\n## Step-by-step proof\n\n1. User calls inherit_parent_encryption_properties(\"pool/child\") where pool/child is an encryption root with key-encrypted sub-children, and the parent encryption root uses passphrase encryption.\n2. Code reaches line 248: ZFSKeyFormat(parent_encrypted_root[\"key_format\"][\"value\"]) constructs ZFSKeyFormat.PASSPHRASE (an enum member).\n3. The right-hand side is ZFSKeyFormat.PASSPHRASE.value, which is the string \"PASSPHRASE\".\n4. Python evaluates ZFSKeyFormat.PASSPHRASE == \"PASSPHRASE\" -> False (enum member != string).\n5. The if block is skipped entirely, so the check for key-encrypted children never runs.\n6. Execution falls through to change_encryption_root(), allowing an operation that should have been rejected.\n\n## How to fix\n\nRemove .value from the right-hand side of the comparison on line 248:\n\n```python\n# Before (broken):\nif ZFSKeyFormat(parent_encrypted_root[\"key_format\"][\"value\"]) == ZFSKeyFormat.PASSPHRASE.value:\n\n# After (correct):\nif ZFSKeyFormat(parent_encrypted_root[\"key_format\"][\"value\"]) == ZFSKeyFormat.PASSPHRASE:\n```\n\nThis is consistent with every other comparison in the codebase - e.g. line 28 (== ZFSKeyFormat.PASSPHRASE), line 49 (!= ZFSKeyFormat.PASSPHRASE), line 206 (!= ZFSKeyFormat.PASSPHRASE), and line 310 (== ZFSKeyFormat.PASSPHRASE). Line 248 is the only instance with the erroneous .value on the RHS.\n\n## Pre-existing note\n\nThis bug pre-dates this PR (the same incorrect comparison existed in the async version). However, since this PR is actively rewriting this method (async-to-sync conversion, adding tls parameter), this is an ideal time to fix it.\n\n
", + "created_at": "2026-03-03T17:36:39Z", + "updated_at": "2026-03-03T17:36:39Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2879626085", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879626085" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2879626085" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879626085/reactions", + "total_count": 2, + "+1": 1, + "-1": 1, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 248, + "side": "RIGHT", + "author_association": "NONE", + "original_position": 170, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879774141", + "pull_request_review_id": 3884281546, + "id": 2879774141, + "node_id": "PRRC_kwDOAIOmMM6rpd29", + "diff_hunk": "@@ -50,7 +52,8 @@ def get_encrypted_datasets(self, filters):\n return rv\n \n @private\n- def push_zfs_keys(self, ids=None):\n+ @pass_thread_local_storage\n+ def push_zfs_keys(self, tls, ids=None):", + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "commit_id": "5be20327222bf023533f2dbd7d143645f692a372", + "original_commit_id": "8db5fce3a922f1296d588f6c7f0532e6d6e465f0", + "user": { + "login": "claude[bot]", + "id": 209825114, + "node_id": "BOT_kgDODIGtWg", + "avatar_url": "https://avatars.githubusercontent.com/in/1236702?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/claude%5Bbot%5D", + "html_url": "https://github.com/apps/claude", + "followers_url": "https://api.github.com/users/claude%5Bbot%5D/followers", + "following_url": "https://api.github.com/users/claude%5Bbot%5D/following{/other_user}", + "gists_url": "https://api.github.com/users/claude%5Bbot%5D/gists{/gist_id}", + "starred_url": "https://api.github.com/users/claude%5Bbot%5D/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/claude%5Bbot%5D/subscriptions", + "organizations_url": "https://api.github.com/users/claude%5Bbot%5D/orgs", + "repos_url": "https://api.github.com/users/claude%5Bbot%5D/repos", + "events_url": "https://api.github.com/users/claude%5Bbot%5D/events{/privacy}", + "received_events_url": "https://api.github.com/users/claude%5Bbot%5D/received_events", + "type": "Bot", + "user_view_type": "public", + "site_admin": false + }, + "body": "\ud83d\udd34 `sync_zfs_keys` (line 130) calls `self.push_zfs_keys(ids)` and `self.pull_zfs_keys()` as direct Python method calls, but `@pass_thread_local_storage` is a marker-only decorator that does not inject `tls` \u2014 injection only happens through the middleware dispatcher. This means `push_zfs_keys(ids)` binds `ids` to the `tls` parameter (causing `AttributeError` on `tls.lzh`), and `pull_zfs_keys()` raises `TypeError` for the missing required `tls` argument, completely breaking KMIP ZFS key sync at runtime.\n\n
\nExtended reasoning...\n\n## What the bug is\n\nThe PR adds `@pass_thread_local_storage` and a `tls` parameter to both `push_zfs_keys(self, tls, ids=None)` (line 56) and `pull_zfs_keys(self, tls)` (line 99). However, `sync_zfs_keys` (line 130) calls these methods directly via `self.push_zfs_keys(ids)` (line 137) and `self.pull_zfs_keys()` (line 141) \u2014 not through the middleware dispatcher.\n\n## Why injection does not happen\n\nThe `@pass_thread_local_storage` decorator (`decorators.py:221`) only sets `fn._pass_thread_local_storage = True` as a flag and returns the unmodified function. It does **not** wrap the function or inject `tls`. The actual `tls` injection happens exclusively in the middleware dispatch paths: `job.py:620-621` (for job methods) and `main.py:862-865` (for regular method calls). The `Service` class has no `__getattr__` or method interception that would inject `tls` on direct `self.method()` calls.\n\n## Step-by-step proof of the crash\n\n**Path 1 \u2014 `self.push_zfs_keys(ids)` (line 137):**\n1. `sync_zfs_keys` is called when KMIP is enabled and managing ZFS keys.\n2. It calls `self.push_zfs_keys(ids)` where `ids` is e.g. `[pk]` (a list of integers).\n3. `push_zfs_keys` signature is `(self, tls, ids=None)`. Python binds: `tls = [pk]`, `ids = None`.\n4. Inside `push_zfs_keys`, `check_key(tls, ds[name], key=...)` is called (line 65).\n5. `check_key` calls `open_resource(tls, dataset)` which does `tls.lzh.open_resource(...)`.\n6. Since `tls` is actually a list, this raises `AttributeError: list object has no attribute lzh`.\n\n**Path 2 \u2014 `self.pull_zfs_keys()` (line 141):**\n1. `sync_zfs_keys` calls `self.pull_zfs_keys()` with no arguments (besides `self`).\n2. `pull_zfs_keys` signature is `(self, tls)`. `tls` is a required positional parameter.\n3. Python raises `TypeError: pull_zfs_keys() missing 1 required positional argument: tls`.\n\n## Impact\n\nBoth code paths crash at runtime whenever KMIP ZFS key sync is triggered (`kmip.sync_zfs_keys`), completely breaking KMIP key management. This is called from `insert_or_update_encrypted_record` (line 60 in `dataset_encryption_operations.py`) and periodically via `zfs_keys_pending_sync`.\n\n## How to fix\n\nEither:\n1. Add `@pass_thread_local_storage` to `sync_zfs_keys` and pass `tls` through: `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)`. Note that since `sync_zfs_keys` is a `@job` method, the job runner (`job.py:620-621`) will inject `tls` when it has `_pass_thread_local_storage`.\n2. Or call these methods through middleware dispatch: `self.middleware.call_sync(kmip.push_zfs_keys, ids)` and `self.middleware.call_sync(kmip.pull_zfs_keys)`.\n\n
", + "created_at": "2026-03-03T18:06:52Z", + "updated_at": "2026-03-03T18:06:53Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2879774141", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879774141" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2879774141" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879774141/reactions", + "total_count": 2, + "+1": 1, + "-1": 1, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": 55, + "original_start_line": 55, + "start_side": "RIGHT", + "line": 56, + "original_line": 56, + "side": "RIGHT", + "author_association": "NONE", + "original_position": 16, + "position": 16, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879774145", + "pull_request_review_id": 3884281546, + "id": 2879774145, + "node_id": "PRRC_kwDOAIOmMM6rpd3B", + "diff_hunk": "@@ -233,23 +232,23 @@ async def inherit_parent_encryption_properties(self, id_):\n elif '/' not in id_:\n raise CallError('Root datasets do not have a parent and cannot inherit encryption settings')\n else:\n- parent = await self.middleware.call(\n+ parent = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', id_.rsplit('/', 1)[0], {\n 'encryption': True,\n }\n )\n if not parent['encrypted']:\n raise CallError('This operation requires the parent dataset to be encrypted')\n else:\n- parent_encrypted_root = await self.middleware.call(\n+ parent_encrypted_root = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', parent['encryption_root'], {\n 'encryption': True,\n }\n )\n if ZFSKeyFormat(parent_encrypted_root['key_format']['value']) == ZFSKeyFormat.PASSPHRASE.value:", + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "commit_id": "14d2ef618892e058b5864226929595fe04eb9eca", + "original_commit_id": "8db5fce3a922f1296d588f6c7f0532e6d6e465f0", + "user": { + "login": "claude[bot]", + "id": 209825114, + "node_id": "BOT_kgDODIGtWg", + "avatar_url": "https://avatars.githubusercontent.com/in/1236702?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/claude%5Bbot%5D", + "html_url": "https://github.com/apps/claude", + "followers_url": "https://api.github.com/users/claude%5Bbot%5D/followers", + "following_url": "https://api.github.com/users/claude%5Bbot%5D/following{/other_user}", + "gists_url": "https://api.github.com/users/claude%5Bbot%5D/gists{/gist_id}", + "starred_url": "https://api.github.com/users/claude%5Bbot%5D/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/claude%5Bbot%5D/subscriptions", + "organizations_url": "https://api.github.com/users/claude%5Bbot%5D/orgs", + "repos_url": "https://api.github.com/users/claude%5Bbot%5D/repos", + "events_url": "https://api.github.com/users/claude%5Bbot%5D/events{/privacy}", + "received_events_url": "https://api.github.com/users/claude%5Bbot%5D/received_events", + "type": "Bot", + "user_view_type": "public", + "site_admin": false + }, + "body": "\ud83d\udfe3 Pre-existing bug: On line 248, `ZFSKeyFormat(...) == ZFSKeyFormat.PASSPHRASE.value` compares an enum instance against the string `\"PASSPHRASE\"`, which always returns `False` for `enum.Enum` (not `StrEnum`). This means the safeguard preventing key-encrypted children under passphrase-encrypted parents in `inherit_parent_encryption_properties` is completely bypassed. Should be `== ZFSKeyFormat.PASSPHRASE` (without `.value`).\n\n
\nExtended reasoning...\n\n## Bug Analysis\n\n`ZFSKeyFormat` is defined as `enum.Enum` (not `StrEnum`) in `pool_/utils.py:213`. Its members are standard enum instances: `ZFSKeyFormat.PASSPHRASE` is an enum instance, and `ZFSKeyFormat.PASSPHRASE.value` is the string `\"PASSPHRASE\"`. In Python, comparing a standard `enum.Enum` instance with a string via `==` always returns `False`.\n\nOn line 248 of `dataset_encryption_operations.py`, the code reads:\n```python\nif ZFSKeyFormat(parent_encrypted_root[\"key_format\"][\"value\"]) == ZFSKeyFormat.PASSPHRASE.value:\n```\nThe left side constructs a `ZFSKeyFormat` enum instance (e.g., `ZFSKeyFormat.PASSPHRASE`), and the right side is `ZFSKeyFormat.PASSPHRASE.value` which is the string `\"PASSPHRASE\"`. Since `ZFSKeyFormat` is `enum.Enum`, this comparison always evaluates to `False`.\n\n## Step-by-step proof\n\n1. `parent_encrypted_root[\"key_format\"][\"value\"]` returns `\"PASSPHRASE\"` (a string from ZFS properties).\n2. `ZFSKeyFormat(\"PASSPHRASE\")` constructs `ZFSKeyFormat.PASSPHRASE` (an enum instance).\n3. `ZFSKeyFormat.PASSPHRASE.value` evaluates to `\"PASSPHRASE\"` (a string).\n4. `ZFSKeyFormat.PASSPHRASE == \"PASSPHRASE\"` returns `False` because Python standard `enum.Enum.__eq__` does not coerce types.\n5. The `if` block never executes, so the safeguard is bypassed.\n\nEvery other `ZFSKeyFormat` comparison in the codebase correctly compares enum-to-enum (e.g., `== ZFSKeyFormat.RAW`, `== ZFSKeyFormat.PASSPHRASE` at lines 102, 196, 309, 177, and 28). Line 248 is the only instance with `.value` on the right-hand side.\n\n## Impact\n\nThe purpose of this check is to prevent creating key-encrypted children under passphrase-encrypted datasets when calling `inherit_parent_encryption_properties`. Because the condition never triggers, a user could corrupt their ZFS encryption hierarchy by inheriting encryption from a passphrase-encrypted parent while having key-encrypted children underneath, which ZFS does not support correctly.\n\n## Fix\n\nRemove `.value` from the right-hand side:\n```python\nif ZFSKeyFormat(parent_encrypted_root[\"key_format\"][\"value\"]) == ZFSKeyFormat.PASSPHRASE:\n```\n\nThis is a pre-existing bug \u2014 line 248 was not changed in this PR \u2014 but the PR actively modifies the surrounding method (converting async to sync, adding `tls` parameter), making this a natural time to fix it.\n\n
", + "created_at": "2026-03-03T18:06:53Z", + "updated_at": "2026-03-03T18:06:53Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2879774145", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879774145" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2879774145" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879774145/reactions", + "total_count": 2, + "+1": 1, + "-1": 1, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": null, + "original_line": 248, + "side": "RIGHT", + "author_association": "NONE", + "original_position": 170, + "position": 1, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879988304", + "pull_request_review_id": 3884518820, + "id": 2879988304, + "node_id": "PRRC_kwDOAIOmMM6rqSJQ", + "diff_hunk": "@@ -172,14 +172,19 @@ class PoolDatasetChangeKeyOptions(BaseModel):\n \"\"\"Generate a new random encryption key instead of using a provided key or passphrase.\"\"\"\n key_file: bool = False\n \"\"\"Whether the provided key is from a key file rather than entered directly.\"\"\"\n- pbkdf2iters: int = Field(default=350000, ge=100000)\n+ pbkdf2iters: int = Field(default=1300000, ge=1300000)\n \"\"\"Number of PBKDF2 iterations for passphrase-based keys. Higher values improve security against \\\n- brute force attacks but increase unlock time. Default 350,000 balances security and performance.\"\"\"\n+ brute force attacks but increase unlock time.\"\"\"\n passphrase: Secret[NonEmptyString | None] = None\n \"\"\"Passphrase to use for encryption key derivation.\"\"\"\n key: Secret[Annotated[str, Field(min_length=64, max_length=64)] | None] = None\n \"\"\"Raw hex-encoded encryption key.\"\"\"\n \n+ @classmethod\n+ def from_previous(cls, value):\n+ value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n+ return value", + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "commit_id": "5be20327222bf023533f2dbd7d143645f692a372", + "original_commit_id": "bfe3651a785219d1540aacc8df9c98ed8e1de254", + "user": { + "login": "claude[bot]", + "id": 209825114, + "node_id": "BOT_kgDODIGtWg", + "avatar_url": "https://avatars.githubusercontent.com/in/1236702?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/claude%5Bbot%5D", + "html_url": "https://github.com/apps/claude", + "followers_url": "https://api.github.com/users/claude%5Bbot%5D/followers", + "following_url": "https://api.github.com/users/claude%5Bbot%5D/following{/other_user}", + "gists_url": "https://api.github.com/users/claude%5Bbot%5D/gists{/gist_id}", + "starred_url": "https://api.github.com/users/claude%5Bbot%5D/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/claude%5Bbot%5D/subscriptions", + "organizations_url": "https://api.github.com/users/claude%5Bbot%5D/orgs", + "repos_url": "https://api.github.com/users/claude%5Bbot%5D/repos", + "events_url": "https://api.github.com/users/claude%5Bbot%5D/events{/privacy}", + "received_events_url": "https://api.github.com/users/claude%5Bbot%5D/received_events", + "type": "Bot", + "user_view_type": "public", + "site_admin": false + }, + "body": "\ud83d\udfe1 This PR raises `PoolDatasetChangeKeyOptions.pbkdf2iters` to `ge=1300000, default=1300000` but leaves `PoolCreateEncryptionOptions.pbkdf2iters` in `v26_0_0/pool.py:139` at `ge=100000, default=350000`. Both feed into `validate_encryption_data`, so users can create passphrase-encrypted datasets with 350k iterations but are then required to use >= 1.3M iterations when changing the key. The `from_previous` clamping to 1.3M confirms the higher value is the intended floor \u2014 `PoolCreateEncryptionOptions` should be updated to match.\n\n
\nExtended reasoning...\n\n## What the bug is\n\nThis PR updates `PoolDatasetChangeKeyOptions.pbkdf2iters` in `v26_0_0/pool_dataset.py:175` from `Field(ge=100000, default=350000)` to `Field(ge=1300000, default=1300000)`. However, `PoolCreateEncryptionOptions.pbkdf2iters` in `v26_0_0/pool.py:139` still has `Field(ge=100000, default=350000)`. Both models are in the same API version (v26_0_0) and both flow through the same `validate_encryption_data` function.\n\n## How the inconsistency manifests\n\nWhen a user creates a new passphrase-encrypted pool or dataset, the API allows `pbkdf2iters` as low as 100,000 (defaulting to 350,000). But when that same user later tries to change the encryption key on that dataset, the API now requires `pbkdf2iters >= 1,300,000`. This creates an asymmetric policy: you can create a dataset with weak key derivation, but you cannot maintain that same setting when rotating keys.\n\n## Step-by-step proof\n\n1. User calls `pool.dataset.create` with `encryption=True`, `encryption_options.passphrase=\"secret\"`. The `PoolCreateEncryptionOptions` model accepts this with `pbkdf2iters=350000` (the default).\n2. `validate_encryption_data` (pool_dataset.py:116) produces `{\"pbkdf2iters\": 350000, ...}` and passes it to ZFS.\n3. Later, user calls `pool.dataset.change_key` on the same dataset with `options.passphrase=\"newsecret\"`. The `PoolDatasetChangeKeyOptions` model applies `default=1300000, ge=1300000`.\n4. If the user explicitly passes `pbkdf2iters=350000` in the change_key call, Pydantic validation rejects it because `350000 < 1300000`.\n5. If the user omits pbkdf2iters, it defaults to 1,300,000 \u2014 silently upgrading the iteration count without the user requesting it.\n\n## Why the higher minimum is likely the intended floor everywhere\n\nThe `from_previous` classmethod added to `PoolDatasetChangeKeyOptions` clamps old values upward: `value[\"pbkdf2iters\"] = max(1300000, value[\"pbkdf2iters\"])`. This migration logic strongly suggests 1,300,000 is the new minimum across the board, aligning with OpenZFS 2.2+ which raised the default from 350,000 to 1,300,000.\n\n## Impact\n\nThis is a policy inconsistency rather than a crash. OpenZFS still accepts 350,000 iterations at the kernel level, so dataset creation with the old default will not fail. However, users who create passphrase-encrypted datasets get weaker key derivation than what the PR intends to enforce, and they encounter a surprising jump in iterations if they later change the key.\n\n## How to fix\n\nUpdate `PoolCreateEncryptionOptions` in `v26_0_0/pool.py:139` to match:\n```python\npbkdf2iters: int = Field(ge=1300000, default=1300000)\n```\nAnd add a corresponding `from_previous` migration method if needed for backward compatibility with existing API callers.\n\n
", + "created_at": "2026-03-03T19:03:07Z", + "updated_at": "2026-03-03T19:03:08Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2879988304", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879988304" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2879988304" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879988304/reactions", + "total_count": 2, + "+1": 1, + "-1": 1, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": 175, + "original_start_line": 175, + "start_side": "RIGHT", + "line": 186, + "original_line": 186, + "side": "RIGHT", + "author_association": "NONE", + "original_position": 17, + "position": 17, + "subject_type": "line" + }, + { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879988308", + "pull_request_review_id": 3884518820, + "id": 2879988308, + "node_id": "PRRC_kwDOAIOmMM6rqSJU", + "diff_hunk": "@@ -91,16 +95,18 @@ def push_zfs_keys(self, ids=None):\n return failed", + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "commit_id": "5be20327222bf023533f2dbd7d143645f692a372", + "original_commit_id": "bfe3651a785219d1540aacc8df9c98ed8e1de254", + "user": { + "login": "claude[bot]", + "id": 209825114, + "node_id": "BOT_kgDODIGtWg", + "avatar_url": "https://avatars.githubusercontent.com/in/1236702?v=4", + "gravatar_id": "", + "url": "https://api.github.com/users/claude%5Bbot%5D", + "html_url": "https://github.com/apps/claude", + "followers_url": "https://api.github.com/users/claude%5Bbot%5D/followers", + "following_url": "https://api.github.com/users/claude%5Bbot%5D/following{/other_user}", + "gists_url": "https://api.github.com/users/claude%5Bbot%5D/gists{/gist_id}", + "starred_url": "https://api.github.com/users/claude%5Bbot%5D/starred{/owner}{/repo}", + "subscriptions_url": "https://api.github.com/users/claude%5Bbot%5D/subscriptions", + "organizations_url": "https://api.github.com/users/claude%5Bbot%5D/orgs", + "repos_url": "https://api.github.com/users/claude%5Bbot%5D/repos", + "events_url": "https://api.github.com/users/claude%5Bbot%5D/events{/privacy}", + "received_events_url": "https://api.github.com/users/claude%5Bbot%5D/received_events", + "type": "Bot", + "user_view_type": "public", + "site_admin": false + }, + "body": "\ud83d\udfe3 Pre-existing bug: `self.zfs_keys = {k: v for k, v in self.zfs_keys.items() if k in existing_datasets}` on lines 94 and 125 always produces an empty dict because `existing_datasets` is a `list[dict]` and `k` is a `str`. In Python, `str in list[dict]` checks element-wise equality (`str == dict`), which is always `False`, so the entire KMIP key cache is wiped after every push/pull call. Fix by building a set of names first: `existing_names = {ds[\"name\"] for ds in existing_datasets}` and filtering with `if k in existing_names`.\n\n
\nExtended reasoning...\n\n## What the bug is\n\n`get_encrypted_datasets()` (line 34-52) returns a `list[dict]` \u2014 it initializes `rv = list()` and appends datastore record dicts via `rv.append(ds_in_db[i[\"name\"]])`. On lines 94 and 125, `self.zfs_keys` is filtered with:\n\n```python\nself.zfs_keys = {k: v for k, v in self.zfs_keys.items() if k in existing_datasets}\n```\n\nHere `k` is a string (dataset name like `\"pool/ds1\"`) and `existing_datasets` is a `list[dict]`. The `in` operator checks element-wise equality, and since `str == dict` is always `False` in Python, every key is filtered out.\n\n## Step-by-step proof\n\n1. `push_zfs_keys` or `pull_zfs_keys` is called.\n2. `existing_datasets = self.get_encrypted_datasets(filters)` returns e.g. `[{\"name\": \"pool/ds1\", \"id\": 1, ...}]`.\n3. During the loop, keys are added to `self.zfs_keys`, e.g. `self.zfs_keys[\"pool/ds1\"] = \"\"`.\n4. After the loop, the comprehension runs: `k = \"pool/ds1\"`, `\"pool/ds1\" in [{\"name\": \"pool/ds1\", ...}]`.\n5. Python evaluates: `\"pool/ds1\" == {\"name\": \"pool/ds1\", ...}` \u2192 `False` (string never equals dict).\n6. Result: `self.zfs_keys = {}` \u2014 all cached keys are lost.\n\nQuick verification:\n```python\n>>> existing_datasets = [{\"name\": \"pool/ds1\", \"id\": 1}]\n>>> \"pool/ds1\" in existing_datasets\nFalse\n```\n\n## Why existing code does not prevent it\n\nPython does not warn when comparing strings to dicts via `in`. The operation silently returns `False` for every element, producing an empty dict without any error or exception.\n\n## Impact\n\n`self.zfs_keys` is the in-memory cache of ZFS encryption keys managed by KMIP. After every push or pull:\n- All cached keys are lost, including keys for datasets not involved in the current operation.\n- `kmip.retrieve_zfs_keys` returns `{}`, so `query_encrypted_roots_keys` cannot find KMIP-managed keys.\n- This affects `encryption_summary`, `sync_db_keys`, `export_keys`, and unlock operations for KMIP-managed datasets.\n- `zfs_keys_pending_sync` always thinks keys need syncing because `ds[\"name\"] not in self.zfs_keys` is always `True` after the cache is wiped.\n\n## How to fix\n\nBuild a set of dataset names before filtering:\n\n```python\nexisting_names = {ds[\"name\"] for ds in existing_datasets}\nself.zfs_keys = {k: v for k, v in self.zfs_keys.items() if k in existing_names}\n```\n\nThis needs to be applied on both line 94 (in `push_zfs_keys`) and line 125 (in `pull_zfs_keys`).\n\n
", + "created_at": "2026-03-03T19:03:08Z", + "updated_at": "2026-03-03T19:03:08Z", + "html_url": "https://github.com/truenas/middleware/pull/18291#discussion_r2879988308", + "pull_request_url": "https://api.github.com/repos/truenas/middleware/pulls/18291", + "_links": { + "self": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879988308" + }, + "html": { + "href": "https://github.com/truenas/middleware/pull/18291#discussion_r2879988308" + }, + "pull_request": { + "href": "https://api.github.com/repos/truenas/middleware/pulls/18291" + } + }, + "reactions": { + "url": "https://api.github.com/repos/truenas/middleware/pulls/comments/2879988308/reactions", + "total_count": 2, + "+1": 1, + "-1": 1, + "laugh": 0, + "hooray": 0, + "confused": 0, + "heart": 0, + "rocket": 0, + "eyes": 0 + }, + "start_line": null, + "original_start_line": null, + "start_side": null, + "line": 95, + "original_line": 95, + "side": "RIGHT", + "author_association": "NONE", + 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"No bugs found, but this PR touches encryption-sensitive code paths across 8 files and depends on unreleased truenas_pylibzfs changes (PR #145). Worth a human review given the scope and security sensitivity.\n\n\n
\nExtended reasoning...\n\n### Overview\n\nThis PR replaces the deprecated py-libzfs with truenas_pylibzfs for ZFS dataset encryption methods (`load_key`, `check_key`, `change_key`, `change_encryption_root`, `bulk_check`). The old `zfs_/dataset_encryption.py` (which ran in a process pool) is deleted, and new standalone functions are added in `zfs/dataset_encryption.py`. Service wrappers are added to `resource_crud.py` using `@pass_thread_local_storage` to provide thread-safe libzfs handles. Callers across KMIP, pool dataset encryption info/lock/operations are updated accordingly. The `pbkdf2iters` default and minimum are raised from 350,000 to 1,300,000 with a `from_previous` migration hook.\n\n### Security risks\n\nThis PR directly handles encryption key loading, verification, and rotation for ZFS datasets. While the code patterns look correct (proper error handling, thread-local libzfs handles, no key material logged), the security-critical nature of these operations means any subtle behavioral difference between the old py-libzfs and new truenas_pylibzfs implementations could have serious consequences (failed unlocks, key verification bypass, etc.).\n\n### Level of scrutiny\n\nHigh scrutiny warranted. This is production-critical encryption infrastructure code. The changes span 8 files and replace the underlying ZFS library for all encryption operations. The `from_previous` migration for `pbkdf2iters` is a breaking API change that requires careful review.\n\n### Other factors\n\n- The PR description states it depends on unreleased truenas_pylibzfs changes (PR #145) and the author is \"waiting for next nightly to test\", suggesting the PR is not yet fully validated.\n- A reviewer (yocalebo) previously raised an architectural concern about libzfs handle management that appears to have been addressed by using `tls.lzh` instead of opening new handles, and the comment is resolved.\n- The removal of the generic `bulk_process` job (which dispatched by method name) in favor of the specific `bulk_check` function is a positive safety improvement.\n- No test changes are included, which is expected since integration tests would cover this, but it means correctness depends on the nightly test run the author mentioned.\n\n
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compatibility:\n\n1. **Default value changed**: `350000` \u2192 `1300000`\n2. **Minimum value changed**: `100000` \u2192 `1300000`\n3. **Impact**: Any API call providing a pbkdf2iters value between 100000 and 1299999 will now fail validation with a `validation_error`.\n\nWhile a `from_previous` migration method was added, it only handles data migration from previous versions and does NOT help with new API calls. Clients that were previously providing values like 350000 (the old default) will now receive validation errors.\n\nThis affects:\n- `pool.create` calls with custom encryption_options\n- Any client code that hardcoded the old default or minimum values\n- Backward compatibility for scripts using the old iteration counts", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "api_compatibility", + "dimension_name": "API v26_0_0 Breaking Changes Review", + "evidence": "v25_10_2: pbkdf2iters: int = Field(ge=100000, default=350000)\nv26_0_0: pbkdf2iters: int = Field(ge=1300000, default=1300000)\n\nThe from_previous method only handles migration:\n```python\n@classmethod\ndef from_previous(cls, value):\n value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n return value\n```", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_020", + "line_end": 154, + "line_start": 139, + "score": 0.95, + "severity": "critical", + "suggestion": "Option 1: Keep minimum at 100000 but change default to 1300000 for new pools:\n```python\npbkdf2iters: int = Field(ge=100000, default=1300000)\n```\n\nOption 2: Document this breaking change explicitly in API release notes and notify client developers.", + "tags": [ + "breaking-change", + "encryption", + "validation", + "pool-create" + ], + "title": "Breaking Change: pbkdf2iters minimum and default increased from 350000 to 1300000" + }, + { + "active_multipliers": [], + "body": "Same critical issue as PoolCreateEncryptionOptions: the `PoolDatasetChangeKeyOptions.pbkdf2iters` field has breaking changes:\n\n1. **Default changed**: `350000` \u2192 `1300000`\n2. **Minimum changed**: `100000` \u2192 `1300000`\n3. **Impact**: API calls to `pool.dataset.change_key` with pbkdf2iters values 100000-1299999 will fail validation.\n\nThis affects dataset key change operations and could break existing client code.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "api_compatibility", + "dimension_name": "API v26_0_0 Breaking Changes Review", + "evidence": "v25_10_2: pbkdf2iters: int = Field(default=350000, ge=100000)\nv26_0_0: pbkdf2iters: int = Field(default=1300000, ge=1300000)", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "id": "f_024", + "line_end": 186, + "line_start": 170, + "score": 0.95, + "severity": "critical", + "suggestion": "Keep minimum at 100000 for backward compatibility while using new default:\n```python\npbkdf2iters: int = Field(default=1300000, ge=100000)\n```", + "tags": [ + "breaking-change", + "encryption", + "dataset", + "pbkdf2iters" + ], + "title": "Breaking Change: PoolDatasetChangeKeyOptions.pbkdf2iters minimum increased to 1300000" + }, + { + "active_multipliers": [], + "body": "The failover service's `unlock_zfs_datasets` method uses job lock `'failover_dataset_unlock'` (line 553), while the user-facing `pool.dataset.unlock` method uses lock `f'dataset_unlock_{args[0]}'` (dataset_encryption_lock.py:93). These different lock namespaces mean that during a failover event, the automatic unlock can run concurrently with a user-initiated unlock on the same dataset.\n\n**Impact**: This creates a race condition where:\n1. User initiates unlock on dataset 'tank/data'\n2. Failover event occurs, triggering `unlock_zfs_datasets('tank')`\n3. Both jobs run concurrently because they use different locks\n4. Both attempt to call `load_key()` on the same dataset\n5. One succeeds, the other fails with `ZFSKeyAlreadyLoadedException`\n6. The failed operation reports an error, potentially causing the failover to be marked as failed or the user operation to fail unexpectedly\n\n**Root cause**: The process pool previously provided implicit global serialization for all ZFS operations. With direct library calls, this serialization is lost and the job locks are inconsistent.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "process-pool-removal-impact", + "dimension_name": "Process Pool Removal Impact on ZFS Encryption Operations", + "evidence": "File: failover.py:553 - `@job(lock='failover_dataset_unlock')` uses a global lock for all failover unlocks.\nFile: dataset_encryption_lock.py:93 - `@job(lock=lambda args: f'dataset_unlock_{args[0]}')` uses per-dataset lock.\nThese namespaces don't overlap, allowing concurrent unlock operations on the same dataset.", + "file_path": "src/middlewared/middlewared/plugins/failover.py", + "id": "f_038", + "line_end": 571, + "line_start": 553, + "score": 0.95, + "severity": "critical", + "suggestion": "Use the same lock namespace for failover unlock operations. Change the failover unlock job to use `lock=lambda args: f'dataset_unlock_{args[0]}'` to match the user unlock operation. This ensures that only one unlock operation can run on a dataset at a time, regardless of whether it's triggered by failover or user action.", + "tags": [ + "race-condition", + "failover", + "encryption", + "lock-namespace", + "process-pool" + ], + "title": "Failover unlock uses different lock namespace than user unlock - allows concurrent operations on same dataset" + }, + { + "active_multipliers": [], + "body": "The `PoolCreateTopologySpecialVdev` type has changed from a restricted model to an alias that includes DRAID types.\n\n**Old definition** (v25_10_2):\n```python\nclass PoolCreateTopologySpecialVdev(BaseModel):\n type: Literal[\"MIRROR\", \"STRIPE\"]\n disks: list[str]\n```\n\n**New definition** (v26_0_0):\n```python\nPoolCreateTopologySpecialVdev: TypeAlias = PoolCreateTopologyDataVdev\n# Which is: Annotated[PoolCreateTopologyVdevDRAID | PoolCreateTopologyVdevNonDRAID, ...]\n```\n\n**Impact**: This allows DRAID1/DRAID2/DRAID3 types in special vdevs, which may not be supported by the underlying ZFS implementation or could cause issues with pool creation. This is a significant behavioral change that affects `pool.create` and `pool.update` endpoints.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "api_compatibility", + "dimension_name": "API v26_0_0 Breaking Changes Review", + "evidence": "v25_10_2: class PoolCreateTopologySpecialVdev with type: Literal[\"MIRROR\", \"STRIPE\"]\nv26_0_0: PoolCreateTopologySpecialVdev: TypeAlias = PoolCreateTopologyDataVdev", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_022", + "line_end": 182, + "line_start": 180, + "score": 0.9, + "severity": "critical", + "suggestion": "Restore the original restricted type definition for special vdevs unless DRAID support in special vdevs is intentional and tested:\n```python\nclass PoolCreateTopologySpecialVdev(BaseModel):\n type: Literal[\"MIRROR\", \"STRIPE\"]\n disks: list[str]\n```", + "tags": [ + "breaking-change", + "topology", + "special-vdev", + "draid" + ], + "title": "Breaking Change: PoolCreateTopologySpecialVdev now allows DRAID types" + }, + { + "active_multipliers": [], + "body": "The **PoolScan** model in v26_0_0 defines all fields as non-nullable (except `end_time`, `pause`, and `total_secs_left`), but the **v25_10_2** dict example shows all fields can be `None`.\n\n**Old contract (v25_10_2/pool.py:66-81):**\n```python\nscan: Annotated[\n dict,\n Field(examples=[{\n 'function': None, # Nullable\n 'state': None, # Nullable\n 'start_time': None, # Nullable\n 'end_time': None,\n 'percentage': None, # Nullable\n 'bytes_to_process': None, # Nullable\n 'bytes_processed': None, # Nullable\n 'bytes_issued': None, # Nullable\n 'pause': None,\n 'errors': None, # Nullable\n 'total_secs_left': None,\n }])\n] | None\n```\n\n**New model (v26_0_0/pool_scrub.py:108-130):**\n```python\nclass PoolScan(BaseModel):\n function: Literal[\"RESILVER\", \"SCRUB\"] # Required, non-nullable\n state: Literal[\"SCANNING\", \"FINISHED\", \"CANCELED\"] # Required\n start_time: datetime # Required\n percentage: float # Required\n bytes_to_process: int # Required\n bytes_processed: int # Required\n bytes_issued: int # Required\n errors: int # Required\n```\n\n**Why this is critical:**\nWhen the ZFS pool has no active scan, the middleware returns a `None` or empty scan object. However, the new PoolScan model doesn't allow `None` values for `function`, `state`, `start_time`, `percentage`, `bytes_to_process`, `bytes_processed`, `bytes_issued`, or `errors`. This will cause **Pydantic validation errors** when the API attempts to serialize pool data with a scan that hasn't started yet or where ZFS returns null values.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "1", + "dimension_name": "API Compatibility - PoolScan Model", + "evidence": "Step 1: Old scan field at v25_10_2/pool.py:66-81 defines all values as None in example.\nStep 2: New PoolScan at v26_0_0/pool_scrub.py:108-130 defines most fields as required non-nullable types.\nStep 3: PoolScanChangedEvent at line 133-137 uses PoolScan type for 'scan' field.\nStep 4: When ZFS returns a pool with no active scan operation, the scan data will have null values for most fields, causing Pydantic validation to fail.", + "file_path": "/workspaces/middleware/src/middlewared/middlewared/api/v26_0_0/pool_scrub.py", + "id": "f_037", + "line_end": 130, + "line_start": 108, + "score": 0.9, + "severity": "critical", + "suggestion": "Add `| None` union types to all fields that were nullable in the old example. Consider whether the entire PoolScan model should be nullable when passed to PoolScanChangedEvent, or if individual fields need to support null:\n\n```python\nclass PoolScan(BaseModel):\n function: Literal[\"RESILVER\", \"SCRUB\"] | None\n state: Literal[\"SCANNING\", \"FINISHED\", \"CANCELED\"] | None\n start_time: datetime | None\n end_time: datetime | None\n percentage: float | None\n bytes_to_process: int | None\n bytes_processed: int | None\n bytes_issued: int | None\n pause: datetime | None\n errors: int | None\n total_secs_left: int | None\n```", + "tags": [ + "api-compatibility", + "pydantic-validation", + "breaking-change" + ], + "title": "PoolScan model lacks None/null support for required fields" + }, + { + "active_multipliers": [], + "body": "The code at lines 223-228 uses a direct comparison pattern `e.code == ZFSError.EZFS_CRYPTOFAILED` which is inconsistent with other files in the codebase. Most other files use `ZFSError(e.code) == ZFSError.EZFS_*` to convert the integer code to an enum before comparison.\n\nIf `e.code` returns an integer and `ZFSError.EZFS_CRYPTOFAILED` is an enum member (not an IntEnum), this comparison will always return `False` even when the error code matches, causing the error handling logic to silently fail. The invalid key error will not be properly detected, and users will see generic error messages instead of 'Invalid Key'.\n\n**Inconsistent patterns found:**\n- `dataset_encryption_lock.py:224` uses: `e.code == ZFSError.EZFS_CRYPTOFAILED` (DIRECT)\n- `pool_operations.py:124` uses: `e.code == ZFSError.EZFS_NOENT` (DIRECT)\n- `pool_/info.py:111,168` uses: `e.code == ZFSError.EZFS_NOENT` (DIRECT)\n- `pool_/dataset.py:398` uses: `e.code == ZFSError.EZFS_EXISTS` (DIRECT)\n- `dataset_encryption_info.py:265,279` uses: `ZFSError(e.code) == ZFSError.EZFS_*` (CONVERT)\n- `zfs/query_impl.py:75` uses: `ZFSError(e.code) == ZFSError.EZFS_NOENT` (CONVERT)\n- `zfs/snapshot_*.py` files use: `ZFSError(e.code)` pattern (CONVERT)", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "error-code-mapping", + "dimension_name": "ZFSError Enum Mapping Verification", + "evidence": "Code in dataset_encryption_lock.py:223-228:\n```python\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n failed[name]['error'] = 'Invalid Key'\n else:\n failed[name]['error'] = str(e)\n```\n\nContrast with dataset_encryption_info.py:265:\n```python\nexcept ZFSException as e:\n if ZFSError(e.code) != ZFSError.EZFS_NOENT:\n raise\n```", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "id": "f_034", + "line_end": 228, + "line_start": 223, + "score": 0.85, + "severity": "critical", + "suggestion": "Standardize on the pattern `ZFSError(e.code) == ZFSError.EZFS_CRYPTOFAILED` for consistency and safety. This explicitly converts the integer code to an enum before comparison, ensuring correct behavior regardless of whether ZFSError is an IntEnum or a regular Enum. Alternatively, verify that truenas_pylibzfs.ZFSError is an IntEnum (which supports direct integer comparison), and if so, standardize on direct comparison for readability - but only if it's confirmed to be an IntEnum.", + "tags": [ + "error-handling", + "enum-comparison", + "silent-failure", + "inconsistency" + ], + "title": "Inconsistent ZFSError comparison pattern may cause silent error handling failure" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_challenged" + ], + "body": "The `push_zfs_keys` method contains a Time-of-Check-Time-of-Use (TOCTOU) race condition in the cache validation logic. At lines 66-67, the code checks `ds['name'] in self.zfs_keys` and then immediately uses `self.zfs_keys[ds['name']]` in the `check_key()` call. Between these two operations, another thread could modify or delete the cache entry via `reset_zfs_key()`, `update_zfs_keys()`, or `clear_sync_pending_zfs_keys()`. With faster direct library calls, this race window is smaller but still exploitable under concurrent load. Additionally, at line 78, the cache is updated with `self.zfs_keys[ds['name']] = ds['encryption_key']` BEFORE the database is updated at line 93. If the `_register_secret_data()` call at line 86 fails, the cache holds a key that was never successfully registered with the KMIP server, leading to cache/database inconsistency.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "kmip-cache-race-conditions", + "dimension_name": "KMIP Key Cache Race Conditions", + "evidence": "Step 1: Thread A checks `ds['name'] in self.zfs_keys` at line 66 (returns True).\nStep 2: Thread B calls `reset_zfs_key(dataset=ds['name'])` which executes `self.zfs_keys.pop(dataset, None)` at line 186.\nStep 3: Thread A attempts `check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])` at line 67.\nStep 4: KeyError is raised because Thread B removed the entry, OR a stale key is validated that no longer matches the KMIP server state.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_000", + "line_end": 78, + "line_start": 66, + "score": 0.712, + "severity": "critical", + "suggestion": "Use a threading.Lock to protect all `self.zfs_keys` access. For the compound check-then-use pattern, lock the entire block. Additionally, defer cache updates until after successful KMIP operations and database persistence - only update the cache after line 93 confirms the database update succeeded.", + "tags": [ + "race-condition", + "cache-consistency", + "thread-safety", + "TOCTOU" + ], + "title": "TOCTOU Race Condition in push_zfs_keys Cache Access" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_challenged" + ], + "body": "The `pull_zfs_keys` method has the same TOCTOU pattern as `push_zfs_keys`. At lines 108-109, the code checks membership in `self.zfs_keys` and then validates the key with `check_key()`. However, at line 111, it retrieves `self.zfs_keys[ds['name']]` again. Between the validation at line 109 and the retrieval at line 111, another thread could modify the cache entry. This means the key being assigned to the `key` variable might differ from the key that was validated, potentially assigning an incorrect or stale key to the database update at line 120.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "kmip-cache-race-conditions", + "dimension_name": "KMIP Key Cache Race Conditions", + "evidence": "Step 1: Thread A validates `check_key(tls, ds['name'], key=self.zfs_keys[ds['name'])` at line 109 (returns True).\nStep 2: Thread B calls `push_zfs_keys()` which updates `self.zfs_keys[ds['name']]` at line 78 with a different key value.\nStep 3: Thread A executes `key = self.zfs_keys[ds['name']]` at line 111, retrieving the NEW key that was NOT validated.\nStep 4: Database is updated with unvalidated key at line 120, potentially corrupting encryption state.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_001", + "line_end": 111, + "line_start": 108, + "score": 0.712, + "severity": "critical", + "suggestion": "Store the validated key in a local variable immediately after validation to ensure consistency. Use pattern: `cached_key = self.zfs_keys.get(ds['name']); if cached_key and check_key(tls, ds['name'], key=cached_key): key = cached_key`. Protect all cache access with a threading.Lock.", + "tags": [ + "race-condition", + "cache-consistency", + "thread-safety", + "TOCTOU" + ], + "title": "TOCTOU Race Condition in pull_zfs_keys Cache Access" + }, + { + "active_multipliers": [], + "body": "The `load_key()` function in `encryption.py` raises custom exceptions `ZFSKeyAlreadyLoadedException` (line 33) and `ZFSNotEncryptedException` (line 31) which are plain Python `Exception` subclasses, NOT `truenas_pylibzfs.ZFSException`.\n\n**The problem:** In `dataset_encryption_lock.py:221-231`, the code specifically catches `ZFSException` to handle crypto failures. However, the new custom exceptions will NOT match this handler and fall through to the generic `except Exception` handler at line 229.\n\n**Impact:**\n- `ZFSKeyAlreadyLoadedException`: May indicate a race condition or partial success, but is treated as a generic failure\n- `ZFSNotEncryptedException`: Indicates the dataset is not encrypted (configuration error), but gets recorded as a generic error string without context", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "exception-handling", + "dimension_name": "Exception Type Changes", + "evidence": "Step 1: `load_key()` is called at line 222.\nStep 2: If key already loaded, `encryption.py:33` raises `ZFSKeyAlreadyLoadedException` (plain Exception subclass).\nStep 3: The exception does NOT match `ZFSException` at line 223.\nStep 4: It falls to line 229 `except Exception as e`, recording `failed[name]['error'] = str(e)`.\nStep 5: The error is treated as a failure even though the key is actually already loaded.", + "file_path": "/workspaces/middleware/src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "id": "f_016", + "line_end": 231, + "line_start": 221, + "score": 0.63, + "severity": "important", + "suggestion": "Import and handle the new exception types explicitly:\n1. Import `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` from `middlewared.plugins.zfs.exceptions`\n2. Add specific handlers before the generic Exception handler:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n\ntry:\n load_key(tls, name, key=datasets[name]['key'])\nexcept ZFSKeyAlreadyLoadedException:\n # Key already loaded - treat as success or log informational message\n unlocked.append(name)\n continue\nexcept ZFSNotEncryptedException:\n failed[name]['error'] = 'Dataset is not encrypted'\n continue\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n failed[name]['error'] = 'Invalid Key'\n else:\n failed[name]['error'] = str(e)\n continue\nexcept Exception as e:\n failed[name]['error'] = str(e)\n continue\n```", + "tags": [ + "exception-handling", + "race-condition", + "api-contract" + ], + "title": "ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException not caught by existing handlers" + }, + { + "active_multipliers": [], + "body": "The `scan` field in `PoolEntry` changed from an `Annotated[dict, ...]` type to `PoolScan | None`. This is a significant schema change that affects the API response format.\n\n**Old format**: Generic dict with example fields like `function`, `state`, `start_time`, etc.\n**New format**: Strongly-typed `PoolScan` model imported from `.pool_scrub`\n\n**Impact**:\n- Clients expecting the old dict structure may break when parsing responses\n- The response serialization will now use the `PoolScan` model structure\n- This affects all endpoints returning `PoolEntry` (pool.create, pool.update, pool.query, etc.)\n\n**Risk**: This is a response format change that could break client-side parsing, especially for strongly-typed clients.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "api_compatibility", + "dimension_name": "API v26_0_0 Breaking Changes Review", + "evidence": "v25_10_2: scan: Annotated[dict, Field(examples=[{...}])] | None\nv26_0_0: scan: PoolScan | None\n\nImport added: from .pool_scrub import PoolScan", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_021", + "line_end": 72, + "line_start": 55, + "score": 0.63, + "severity": "important", + "suggestion": "Verify that PoolScan model matches the expected dict structure from v25_10_2. Consider adding backward compatibility by supporting both formats or ensuring PoolScan serializes to the same JSON structure.", + "tags": [ + "response-format", + "pool-entry", + "scan", + "schema-change" + ], + "title": "PoolEntry.scan type changed from dict to PoolScan model" + }, + { + "active_multipliers": [], + "body": "The `load_key()` function in `encryption.py` has a classic Time-Of-Check-Time-Of-Use (TOCTOU) race condition. It first checks if the key is already loaded (line 32), then loads it (line 34). These are two separate operations, not atomic.\n\n**Race scenario**:\n1. Thread A calls `load_key('tank/data')`\n2. Thread A checks `crypto.info().key_is_loaded` \u2192 returns False\n3. Context switch to Thread B\n4. Thread B calls `load_key('tank/data')`\n5. Thread B checks `crypto.info().key_is_loaded` \u2192 returns False\n6. Thread B calls `crypto.load_key()` \u2192 succeeds\n7. Context switch back to Thread A\n8. Thread A calls `crypto.load_key()` \u2192 may fail or behave unexpectedly\n\n**Process pool context**: When using the process pool, only one operation could run at a time, preventing this race. With direct library calls and `@pass_thread_local_storage`, multiple threads can execute this code concurrently.\n\n**Impact**: The second load_key call will raise `ZFSKeyAlreadyLoadedException`. While this prevents data corruption, it causes unnecessary failures that didn't occur with the process pool's implicit serialization.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "process-pool-removal-impact", + "dimension_name": "Process Pool Removal Impact on ZFS Encryption Operations", + "evidence": "File: encryption.py:32-34 - The check `if crypto.info().key_is_loaded:` and `crypto.load_key(**kwargs)` are separate non-atomic operations.\nFile: dataset_encryption_lock.py:221-222 - `load_key(tls, name, key=datasets[name]['key'])` is called in a loop without dataset-level locking.", + "file_path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "id": "f_039", + "line_end": 34, + "line_start": 14, + "score": 0.63, + "severity": "important", + "suggestion": "Option 1: Remove the pre-check and handle 'already loaded' as a non-error case (idempotent behavior).\nOption 2: Add a synchronization primitive (threading.Lock) per dataset to serialize load_key operations on the same dataset.\nOption 3: Rely on higher-level locks (job locks) but ensure they cover all code paths consistently.", + "tags": [ + "race-condition", + "toctou", + "encryption", + "load-key", + "process-pool" + ], + "title": "TOCTOU race condition in load_key() - key check and load are not atomic" + }, + { + "active_multipliers": [], + "body": "The `PoolCreate.name` field changed from `POOL_NAME` (with whitespace validation) to `NonEmptyString` (no whitespace validation).\n\n**Old validation**:\n- No whitespace characters allowed (regex: `^\\S+$`)\n- Maximum length: 50 characters\n\n**New validation**:\n- Only non-empty string check\n- No whitespace restriction\n- No explicit length limit\n\n**Impact**:\n- API now accepts pool names with whitespace that were previously rejected\n- Pool names >50 chars are now accepted\n- This affects `pool.create` and `pool.import_pool` endpoints\n\n**Note**: The comment mentions \"Incus cannot consume a pool which has whitespaces\" but this validation was removed.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "api_compatibility", + "dimension_name": "API v26_0_0 Breaking Changes Review", + "evidence": "v25_10_2: name: POOL_NAME # With AfterValidator(match_validator(re.compile(r\"^\\S+$\"), ...))\nv26_0_0: name: NonEmptyString # No whitespace validation", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_023", + "line_end": 221, + "line_start": 220, + "score": 0.595, + "severity": "important", + "suggestion": "If whitespace restriction is still needed for Incus compatibility, restore the POOL_NAME type alias. If Incus now supports whitespace, remove the FIXME comment in the code.", + "tags": [ + "validation", + "pool-name", + "whitespace", + "incus" + ], + "title": "Pool name validation relaxed: removed whitespace restriction" + }, + { + "active_multipliers": [], + "body": "The `lock` operation uses a global lock `'dataset_lock'` (line 32), while the `unlock` operation uses per-dataset lock `f'dataset_unlock_{args[0]}'` (line 93). This creates a lock namespace mismatch:\n\n- Lock uses: `'dataset_lock'` (global - all lock operations serialize)\n- Unlock uses: `'dataset_unlock_tank/data'` (per-dataset)\n\n**Race scenario**:\n1. User calls `pool.dataset.lock('tank/data')` - acquires `'dataset_lock'`\n2. Concurrently, user calls `pool.dataset.unlock('tank/data')` - acquires `'dataset_unlock_tank/data'`\n3. Both operations run concurrently because they use different locks\n4. Both attempt to modify the encryption state of 'tank/data'\n\n**Expected behavior**: Lock and unlock on the same dataset should be mutually exclusive.\n**Actual behavior**: Lock and unlock can run concurrently on the same dataset.\n\n**Process pool context**: The process pool previously serialized ALL ZFS operations, preventing this race. With direct calls, this implicit serialization is lost.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "process-pool-removal-impact", + "dimension_name": "Process Pool Removal Impact on ZFS Encryption Operations", + "evidence": "File: dataset_encryption_lock.py:32 - `@job(lock=lambda args: 'dataset_lock')` uses global lock.\nFile: dataset_encryption_lock.py:93 - `@job(lock=lambda args: f'dataset_unlock_{args[0]}')` uses per-dataset lock.\nFile: dataset_encryption_lock.py:66 - `unload_key` is called inside the lock method.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "id": "f_040", + "line_end": 33, + "line_start": 31, + "score": 0.595, + "severity": "important", + "suggestion": "Use consistent lock namespaces for related operations. Options:\n1. Use per-dataset locks for both: `f'dataset_lock_{args[0]}'` for lock and `f'dataset_unlock_{args[0]}'` for unlock\n2. Use a unified namespace: `f'dataset_encryption_{args[0]}'` for all encryption operations on a dataset\n3. Keep the global lock for lock operations (since unload_key affects children), but ensure unlock respects it during the unload_key phase", + "tags": [ + "race-condition", + "locking", + "encryption", + "lock-namespace", + "process-pool" + ], + "title": "Inconsistent lock namespaces allow concurrent lock/unlock on same dataset" + }, + { + "active_multipliers": [], + "body": "The `change_key` operation uses lock `f'dataset_change_key_{args[0]}'` (line 120), while `inherit_parent_encryption_properties` has NO job decorator and thus NO lock (lines 217-218). This allows:\n\n**Race scenario**:\n1. User calls `pool.dataset.change_key('tank/data')` - acquires `'dataset_change_key_tank/data'`\n2. Concurrently, user calls `pool.dataset.inherit_parent_encryption_properties('tank/data')` - no lock required\n3. Both operations run concurrently on the same dataset\n4. Both call `change_key()` and `change_encryption_root()` respectively on the same dataset\n\n**ZFS operation conflict**:\n- `change_key()` calls `crypto.change_key()` in libzfs\n- `change_encryption_root()` calls `crypto.inherit_key()` in libzfs\n- These both modify the dataset's encryption properties and should not run concurrently\n\n**Process pool context**: Previously, the process pool would serialize these operations even without explicit locks. With direct library calls, there's no serialization.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "process-pool-removal-impact", + "dimension_name": "Process Pool Removal Impact on ZFS Encryption Operations", + "evidence": "File: dataset_encryption_operations.py:120 - change_key uses `@job(lock=lambda args: f'dataset_change_key_{args[0]}')`.\nFile: dataset_encryption_operations.py:217-218 - inherit_parent_encryption_properties has no @job decorator.\nFile: encryption.py:62-90 and 93-106 - Both operations modify encryption state via libzfs.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_041", + "line_end": 120, + "line_start": 118, + "score": 0.595, + "severity": "important", + "suggestion": "Add a job lock to `inherit_parent_encryption_properties` using the same namespace as `change_key`, or use a unified encryption operation lock per dataset. For example:\n```python\n@job(lock=lambda args: f'dataset_encryption_{args[0]}')\n```\nThis would serialize all encryption-modifying operations on the same dataset.", + "tags": [ + "race-condition", + "locking", + "encryption", + "missing-lock", + "process-pool" + ], + "title": "change_key and inherit_parent_encryption_properties can run concurrently on same dataset" + }, + { + "active_multipliers": [], + "body": "The `path_in_locked_datasets()` method in `dataset_encryption_info.py` is marked as **\"EXTREMELY hot code path\"** and opens ZFS resources without cleanup.\n\n**The Problem:**\n- This method is called frequently (potentially thousands of times) to check if paths are in locked datasets\n- Line 263: `crypto = tls.lzh.open_resource(name=path).crypto()` creates resource objects\n- Lines 275-276: Same pattern in the fallback path\n- The comment warns \"Do not add more things here\" but doesn't address resource cleanup\n\n**Impact:**\n- High-frequency operations without resource cleanup\n- Resource handles accumulate rapidly\n- May cause performance degradation or resource exhaustion under load\n\n**Process Pool vs Direct Calls:**\n- With process pools: Resources freed when worker process exits (automatic)\n- With direct calls: Resources persist in long-running threads (manual cleanup required)", + "confidence": 0.8, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "resource-cleanup", + "dimension_name": "Resource Cleanup and Error Recovery", + "evidence": "Line 237-238: \"# WARNING: _EXTREMELY_ hot code path. Do not add more\n# things here unless you fully understand the side-effects.\"\n\nLine 263: `crypto = tls.lzh.open_resource(name=path).crypto()`\nLine 271: `return crypto is not None and not crypto.info().key_is_loaded`\n\nLines 275-276: Same pattern in the loop fallback path", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_030", + "line_end": 283, + "line_start": 262, + "score": 0.56, + "severity": "important", + "suggestion": "Since this is a hot path, consider:\n1. Using a resource cache/pool for frequently accessed datasets\n2. Explicitly deleting resource references after use: `del crypto`\n3. Documenting the cleanup requirements in the code comment\n4. Monitoring resource usage in production to verify if this is causing issues", + "tags": [ + "hot-path", + "performance", + "resource-leak", + "zfs" + ], + "title": "Resource leak in hot code path - dataset lock checking" + }, + { + "active_multipliers": [], + "body": "The `open_resource()` utility function is the primary interface for obtaining ZFS resources, but it provides no guidance on resource cleanup.\n\n**Issues:**\n1. No documentation about whether callers need to close/release resources\n2. No context manager support for automatic cleanup\n3. Used extensively across the codebase (50+ locations)\n\n**Impact:**\n- Developers don't know if cleanup is required\n- Inconsistent cleanup patterns throughout the codebase\n- Potential for resource leaks in error paths\n\n**Recommendation:**\nAdd documentation and consider implementing context manager support:\n\n```python\ndef open_resource(tls: Any, path: str) -> Any:\n \"\"\"\n Open a ZFS resource.\n \n IMPORTANT: The returned resource holds native ZFS handles.\n In long-running threads, ensure resources are released promptly\n by using del or explicitly closing when done.\n \n Consider using this as a context manager (if implemented) or\n wrap in try/finally for guaranteed cleanup.\n \"\"\"\n ...\n```", + "confidence": 0.8, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "resource-cleanup", + "dimension_name": "Resource Cleanup and Error Recovery", + "evidence": "The open_resource() function at lines 123-133 is called from:\n- encryption.py (4 times)\n- destroy_impl.py (multiple times)\n- mount_unmount_impl.py\n- rename_promote_clone_impl.py\n- snapshot_*.py files\n\nNone of these callers show explicit resource cleanup.", + "file_path": "src/middlewared/middlewared/plugins/zfs/utils.py", + "id": "f_032", + "line_end": 133, + "line_start": 123, + "score": 0.56, + "severity": "important", + "suggestion": "1. Add documentation about resource cleanup requirements\n2. Implement __enter__/__exit__ on the returned object if possible\n3. Or provide a contextmanager wrapper\n4. Audit all callers to ensure proper cleanup", + "tags": [ + "documentation", + "api-design", + "resource-management", + "zfs" + ], + "title": "open_resource() utility lacks resource management documentation/context manager" + }, + { + "active_multipliers": [], + "body": "The return type for `PoolDatasetGetQuotaResult` changed from `list[PoolDatasetQuota]` to `list[PoolDatasetQuota] | PoolDatasetQuota | int`.\n\n**Impact**:\n- Clients expecting a list result may break when receiving a single `PoolDatasetQuota` object or an `int`\n- Type checking in client code may fail\n- This is a more permissive return type that could confuse consumers\n\n**Question**: Under what conditions does this endpoint return non-list types? This should be documented or the endpoint should be split.", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "api_compatibility", + "dimension_name": "API v26_0_0 Breaking Changes Review", + "evidence": "v25_10_2: result: list[PoolDatasetQuota]\nv26_0_0: result: list[PoolDatasetQuota] | PoolDatasetQuota | int", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "id": "f_026", + "line_end": 651, + "line_start": 649, + "score": 0.525, + "severity": "important", + "suggestion": "Consider using separate endpoints or query parameters to determine return type, or always return a list with a single element. Alternatively, document clearly when each type is returned.", + "tags": [ + "return-type", + "quota", + "breaking-change" + ], + "title": "PoolDatasetGetQuotaResult return type expanded" + }, + { + "active_multipliers": [], + "body": "The `load_key()`, `check_key()`, `change_key()`, and `change_encryption_root()` functions in `encryption.py` open ZFS resources via `open_resource()` but never explicitly release them.\n\n**The Problem:**\n- `open_resource(tls, dataset)` returns a ZFS resource object wrapping a C library handle\n- `rsrc.crypto()` returns a cryptography object with additional native resources\n- Neither object has explicit cleanup (no `.close()`, no context manager, no `try/finally`)\n- In the previous process pool architecture, this was acceptable because the entire process would exit, and the OS would reclaim all resources\n- With direct library calls in long-running threads, these objects persist until Python's garbage collector runs, which may not happen promptly enough\n\n**Resource Leak Scenario:**\n1. A long-running middleware thread calls `load_key()` repeatedly for many datasets\n2. Each call creates native ZFS handles that are not immediately released\n3. ZFS has internal limits on open handles per pool/process\n4. Eventually, operations may fail with `ENOMEM` or `EMFILE` errors\n\n**Recommendation:**\nWrap ZFS resource operations in context managers or use `try/finally` blocks to ensure resources are released immediately after use. Consider implementing a context manager in `open_resource()` or documenting that callers must explicitly close resources.", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "resource-cleanup", + "dimension_name": "Resource Cleanup and Error Recovery", + "evidence": "Step 1: `load_key()` calls `open_resource(tls, dataset)` at line 29, returning a resource handle\nStep 2: Line 30 calls `rsrc.crypto()`, returning a crypto object\nStep 3: Lines 31-34 perform operations and may raise exceptions\nStep 4: No cleanup code exists - both objects rely on Python GC\n\nSame pattern in:\n- `check_key()` (lines 56-59)\n- `change_key()` (lines 86-90)\n- `change_encryption_root()` (lines 103-106)", + "file_path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "id": "f_029", + "line_end": 34, + "line_start": 29, + "score": 0.525, + "severity": "important", + "suggestion": "Consider modifying the code to explicitly release resources:\n\n```python\ndef load_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> None:\n if len(kwargs) > 1:\n raise ValueError('Cannot specify both key and key location')\n rsrc = open_resource(tls, dataset)\n try:\n if (crypto := rsrc.crypto()) is None:\n raise ZFSNotEncryptedException(dataset)\n if crypto.info().key_is_loaded:\n raise ZFSKeyAlreadyLoadedException(dataset)\n crypto.load_key(**kwargs)\n finally:\n # Explicitly release the resource\n del rsrc # Or rsrc.close() if the library supports it\n```\n\nAlternatively, wrap `open_resource()` in a context manager:\n\n```python\nfrom contextlib import contextmanager\n\n@contextmanager\ndef zfs_resource(tls, path):\n rsrc = open_resource(tls, path)\n try:\n yield rsrc\n finally:\n # Cleanup code here\n pass\n\n# Usage:\nwith zfs_resource(tls, dataset) as rsrc:\n crypto = rsrc.crypto()\n # ... operations\n```", + "tags": [ + "resource-leak", + "zfs", + "cleanup", + "threading" + ], + "title": "ZFS resource objects not explicitly cleaned up after encryption operations" + }, + { + "active_multipliers": [], + "body": "The code checks for `ZFSError.EZFS_CRYPTOFAILED` when a key loading operation fails. However, there is no verification that this error code has the same numeric value between the old `py-libzfs` library and the new `truenas_pylibzfs` library.\n\nIf the numeric values differ between libraries:\n1. Error handling logic will silently fail to catch the expected errors\n2. Users will receive generic error messages instead of specific 'Invalid Key' messages\n3. The unlock operation may report success when it actually failed due to wrong key\n\nAdditionally, if truenas_pylibzfs introduces new error codes that have no py-libzfs equivalent, those error conditions won't be handled.", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "error-code-mapping", + "dimension_name": "ZFSError Enum Mapping Verification", + "evidence": "The code imports ZFSError from truenas_pylibzfs (line 9):\n```python\nfrom truenas_pylibzfs import ZFSError, ZFSException\n```\n\nBut there's no verification that these error codes match the expected values from the old library. The code at line 224 compares `e.code` directly to `ZFSError.EZFS_CRYPTOFAILED` without knowing if the numeric values are consistent.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "id": "f_035", + "line_end": 232, + "line_start": 220, + "score": 0.525, + "severity": "important", + "suggestion": "Verify that EZFS_CRYPTOFAILED and other error codes have the same numeric values between py-libzfs and truenas_pylibzfs. Add a test or validation script that compares the enum values from both libraries. If values differ, create a mapping layer to translate between them.", + "tags": [ + "error-codes", + "library-migration", + "verification-needed", + "compatibility" + ], + "title": "Error code mapping between py-libzfs and truenas_pylibzfs not verified" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_challenged" + ], + "body": "In `sync_db_keys()`, the `check_key()` call at line 201 is wrapped in a broad `except Exception:` that sets `should_remove = True`. This means database encryption keys will be removed for ANY error - not just invalid keys, but also permission errors, dataset not found, ZFS operational failures, etc.\n\n**Risk scenario:**\n1. Database contains encryption key for dataset 'tank/secure'\n2. ZFS pool becomes temporarily unavailable or permission issue occurs\n3. `check_key()` raises an error (not EZFS_CRYPTOFAILED)\n4. Exception handler catches it and sets `should_remove = True`\n5. Key is removed from database\n6. User can no longer unlock the dataset even when the underlying issue is resolved\n\n**Data loss potential:** This could lead to permanent data loss if the only copy of the encryption key was in the database and it gets erroneously removed due to a transient ZFS error.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "error_propagation_check_key", + "dimension_name": "check_key Error Propagation Verification", + "evidence": "Step 1: At dataset_encryption_info.py:200-206:\n```python\ntry:\n should_remove = not check_key(tls, ds_name, key=key)\nexcept Exception:\n should_remove = True\n\nif should_remove:\n to_remove.append(ds_name)\n```\n\nStep 2: Any exception (permission denied, dataset not found, etc.) results in the key being removed from the database at line 212:\n`self.middleware.call_sync('pool.dataset.delete_encrypted_datasets_from_db', [['name', 'in', to_remove]])`", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_011", + "line_end": 203, + "line_start": 200, + "score": 0.499, + "severity": "important", + "suggestion": "Implement proper error discrimination:\n1. Only remove keys from database when `check_key()` returns False (EZFS_CRYPTOFAILED)\n2. For other ZFS exceptions, log the error but preserve the database key\n3. Consider adding retry logic or a 'force' flag for maintenance operations\n\nRefactor lines 200-206:\n```python\ntry:\n key_valid = check_key(tls, ds_name, key=key)\nexcept ZFSNotEncryptedException:\n should_remove = True # Dataset not encrypted, remove stale key\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n should_remove = True # Wrong key\n else:\n self.logger.error('ZFS error checking key for %s: %s', ds_name, e)\n continue # Preserve key on operational errors\nelse:\n should_remove = not key_valid\n```", + "tags": [ + "data-loss-risk", + "error-handling", + "zfs", + "encryption" + ], + "title": "Database key sync silently removes keys on ANY ZFS error" + }, + { + "active_multipliers": [], + "body": "The `PoolDatasetCreateArgs.data` field now has an explicit `discriminator='type'` annotation. Additionally, a `model_validator` was added to default `type` to 'FILESYSTEM' if not provided.\n\n**Changes**:\n1. Added `Field(discriminator='type')` to the Union type\n2. Added `set_default_type` model validator\n\n**Potential Issues**:\n- Some JSON serializers/deserializers may handle discriminator fields differently\n- The discriminator field might cause issues with certain client libraries that don't support OpenAPI discriminator semantics\n- While the model_validator provides backward compatibility for missing type fields, the discriminator field itself could cause issues with strict validation\n\n**Question**: Does the middleware framework properly handle discriminator fields in the API layer? This could affect how requests are parsed.", + "confidence": 0.7, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "api_compatibility", + "dimension_name": "API v26_0_0 Breaking Changes Review", + "evidence": "v25_10_2: data: PoolDatasetCreateFilesystem | PoolDatasetCreateVolume\nv26_0_0: data: PoolDatasetCreateFilesystem | PoolDatasetCreateVolume = Field(discriminator='type')\n \n @model_validator(mode='before')\n @classmethod\n def set_default_type(cls, data: Any) -> Any: ...", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "id": "f_025", + "line_end": 551, + "line_start": 540, + "score": 0.49, + "severity": "important", + "suggestion": "Test that discriminator field works correctly with the middleware's API handling. Consider if this change is necessary or if the previous union type without discriminator was sufficient.", + "tags": [ + "discriminator", + "union-type", + "dataset-create", + "pydantic" + ], + "title": "PoolDatasetCreateArgs discriminator field may break clients" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_challenged" + ], + "body": "The `initialize_zfs_keys` method (lines 164-178) is called from `sync.py:initialize_keys` job at line 98 WITHOUT any synchronization with other cache-modifying methods. This method directly writes to `self.zfs_keys[ds['name']]` at lines 167 and 175 without any lock protection. It can run concurrently with `sync_zfs_keys`, `reset_zfs_key`, `update_zfs_keys`, or `clear_sync_pending_zfs_keys`. While Python dict operations are thread-safe for single operations, compound operations and iteration (like the loop at line 165) are not atomic. Additionally, the cache assignment at line 175 happens AFTER retrieving a key from the KMIP server, but there's no mechanism to ensure this key is still valid by the time it's stored.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "kmip-cache-thread-safety", + "dimension_name": "KMIP Key Cache Thread Safety", + "evidence": "Step 1: `initialize_keys` job starts and calls `initialize_zfs_keys(connection_success)` at sync.py:98.\nStep 2: Thread A iterates over datasets and calls `_retrieve_secret_data()` at line 171 (synchronous network call).\nStep 3: Thread B calls `sync_zfs_keys()` which modifies `self.zfs_keys` at line 138 via `push_zfs_keys`.\nStep 4: Thread A returns from `_retrieve_secret_data()` and assigns `self.zfs_keys[ds['name']] = key` at line 175, overwriting Thread B's update.\nResult: Cache inconsistency where newer data from Thread B is lost.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_002", + "line_end": 175, + "line_start": 164, + "score": 0.473, + "severity": "important", + "suggestion": "Add a `threading.RLock` to the KMIPService class `__init__` and acquire it in all methods that access `self.zfs_keys`. Consider whether `initialize_zfs_keys` should clear the cache first or merge carefully with existing entries.", + "tags": [ + "thread-safety", + "cache-consistency", + "concurrency" + ], + "title": "Unprotected Cache Access in initialize_zfs_keys" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_challenged" + ], + "body": "The `check_key()` function is documented to return `False` only for `EZFS_CRYPTOFAILED` (wrong key) while raising exceptions for other ZFS errors. However, the caller at line 106-109 uses a broad `except Exception:` handler that treats ALL errors as invalid keys. This masks serious issues like permission errors (EACCES), malformed datasets, or ZFS operational failures that should be propagated to the user.\n\n**The contract vs. implementation mismatch:**\n- `check_key()` docstring (encryption.py:41-43): Raises for errors *other than* EZFS_CRYPTOFAILED\n- Actual caller behavior: Catches ALL exceptions and treats them as `valid_key = False`\n\n**Impact:** Users will see 'Provided key is invalid' when the actual error could be:\n- Permission denied on key file or dataset\n- Dataset not found\n- ZFS pool offline/unavailable\n- Malformed key format\n\nThis violates the principle of least surprise and makes debugging encryption issues significantly harder.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "error_propagation_check_key", + "dimension_name": "check_key Error Propagation Verification", + "evidence": "Step 1: `check_key()` docstring at encryption.py:41-43 states:\n'Raises ZFSNotEncryptedException if the dataset is not encrypted or if the ZFS operation fails for a reason other than a wrong key (EZFS_CRYPTOFAILED returns False rather than raising)'\n\nStep 2: Caller at dataset_encryption_info.py:106-109:\n```python\ntry:\n valid_key = check_key(tls, name, key=ds_key)\nexcept Exception:\n valid_key = False\n```\n\nStep 3: The broad `except Exception:` catches ALL errors including permission errors, dataset not found, etc., treating them all as 'invalid key'.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_010", + "line_end": 109, + "line_start": 106, + "score": 0.473, + "severity": "important", + "suggestion": "Replace the broad `except Exception:` with specific exception handling:\n1. Catch `ZFSException` and check `e.code == ZFSError.EZFS_CRYPTOFAILED` \u2192 set `valid_key = False`\n2. Catch `ZFSNotEncryptedException` \u2192 set appropriate error message\n3. Let other ZFS errors propagate or catch and re-raise with context\n\nThis preserves the intended contract where wrong keys return False but operational errors are surfaced to users.", + "tags": [ + "error-handling", + "zfs", + "encryption", + "api-contract" + ], + "title": "Broad exception handling masks non-crypto ZFS errors in check_key()" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_challenged" + ], + "body": "In `pull_zfs_keys()` at lines 104-118, the `check_key()` call is used to determine whether to use the cached key or retrieve from KMIP. The broad exception handling at line 117 adds the dataset to the `failed` list for ANY error, including:\n- Permission errors (should retry, not fail)\n- Dataset temporarily unavailable (should retry, not fail)\n- Malformed key format (could be a configuration issue)\n\n**The problem:** The dataset gets added to `failed` but the error is only logged at debug level. There's no way for administrators to distinguish between 'key was invalid' vs 'ZFS operation failed'.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "error_propagation_check_key", + "dimension_name": "check_key Error Propagation Verification", + "evidence": "Step 1: At kmip/zfs_keys.py:104-118:\n```python\ntry:\n if ds['encryption_key']:\n key = ds['encryption_key']\n elif (\n ds['name'] in self.zfs_keys\n and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n ):\n key = self.zfs_keys[ds['name']]\n elif connection_successful:\n with self._connection(...) as conn:\n key = self._retrieve_secret_data(ds['kmip_uid'], conn)\n else:\n raise Exception('Failed to sync dataset')\nexcept Exception:\n failed.append(ds['name'])\n```\n\nStep 2: Any exception from check_key() (not just EZFS_CRYPTOFAILED) causes the dataset to be added to the failed list.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_013", + "line_end": 118, + "line_start": 104, + "score": 0.473, + "severity": "important", + "suggestion": "Implement granular error handling to distinguish key validation failures from operational errors:\n1. `EZFS_CRYPTOFAILED` (wrong key) \u2192 add to failed list\n2. `ZFSNotEncryptedException` \u2192 log warning, don't add to failed\n3. Other ZFS errors \u2192 log error with full traceback, add to failed with specific error message\n4. Consider different retry/backoff strategies for transient vs permanent errors", + "tags": [ + "error-handling", + "kmip", + "zfs", + "silent-failure" + ], + "title": "KMIP pull operation adds datasets to 'failed' list for ANY ZFS error" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_challenged" + ], + "body": "The `reset_zfs_key` method is designed to remove a single dataset from the cache, but it's called from `dataset_encryption_operations.py:delete_encrypted_datasets_from_db` at line 65 as an async task via `self.middleware.create_task()`. This means multiple `reset_zfs_key` calls can execute concurrently, and they can interleave with other cache-modifying operations like `push_zfs_keys` or `initialize_zfs_keys`. The `pop()` operation at line 186 is atomic, but the subsequent `delete_kmip_secret_data` call at line 189 and hook notification at line 194 are not. If `reset_zfs_key` is called while `push_zfs_keys` is running, the cache entry removed at line 186 might be re-added by `push_zfs_keys` line 78 before the KMIP delete completes, resulting in the key being deleted from KMIP but present in the cache.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "kmip-cache-invalidation", + "dimension_name": "KMIP Key Cache Invalidation", + "evidence": "Step 1: `push_zfs_keys` is processing dataset 'tank/data' and reaches line 78: `self.zfs_keys[ds['name']] = ds['encryption_key']`.\nStep 2: Concurrently, `delete_encrypted_datasets_from_db` calls `reset_zfs_key('tank/data', kmip_uid)` as async task.\nStep 3: `reset_zfs_key` executes `self.zfs_keys.pop('tank/data', None)` at line 186.\nStep 4: `push_zfs_keys` continues and calls `_register_secret_data` at line 86, which succeeds.\nStep 5: `reset_zfs_key` continues to line 189 and calls `delete_kmip_secret_data(kmip_uid)`.\nResult: The key is registered with KMIP, stored in cache, but then deleted from KMIP server while still in cache.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_003", + "line_end": 194, + "line_start": 185, + "score": 0.446, + "severity": "important", + "suggestion": "Ensure `reset_zfs_key` acquires the same lock used by other cache-modifying methods. Consider making the KMIP key deletion and cache removal atomic under a single lock. Review whether `delete_encrypted_datasets_from_db` should await `reset_zfs_key` instead of using `create_task`.", + "tags": [ + "thread-safety", + "cache-invalidation", + "async-task" + ], + "title": "Async reset_zfs_key Called Without Cache Lock Protection" + } + ], + "metadata": { + "agent_invocations": 17, + "anatomy": { + "blast_radius": [], + "clusters": [ + { + "description": "", + "files": [ + "" + ], + "id": "cluster_0", + "name": "root", + "primary_language": "" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/api/v26_0_0/pool.py", + "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py" + ], + "id": "cluster_1", + "name": "src/middlewared/middlewared/api/v26_0_0", + "primary_language": "python" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ], + "id": "cluster_2", + "name": "src/middlewared/middlewared/plugins/kmip", + "primary_language": "python" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" + ], + "id": "cluster_3", + "name": "src/middlewared/middlewared/plugins/pool_", + "primary_language": "python" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/zfs/exceptions.py" + ], + "id": "cluster_4", + "name": "src/middlewared/middlewared/plugins/zfs", + "primary_language": "python" + } + ], + "context_notes": "This is part of an ongoing migration from py-libzfs to truenas_pylibzfs. The thread-local storage pattern (tls.lzh) is the established pattern for accessing the ZFS library in the new architecture. The @pass_thread_local_storage decorator is critical for dependency injection. The removed file is likely the old ZFS encryption implementation that used process pool workers.", + "dependency_graph": {}, + "files": [ + { + "hunks": [ + { + "content": " key.\"\"\"\n generate_key: bool = False\n \"\"\"Automatically generate the key to be used for dataset encryption.\"\"\"\n- pbkdf2iters: int = Field(ge=100000, default=350000)\n+ pbkdf2iters: int = Field(ge=1300000, default=1300000)\n \"\"\"Number of PBKDF2 iterations for key derivation from passphrase. Higher iterations improve security \\\n- against brute force attacks but increase unlock time. Default 350,000 balances security and performance.\"\"\"\n+ against brute force attacks but increase unlock time.\"\"\"\n algorithm: Literal[\n \"AES-128-CCM\", \"AES-192-CCM\", \"AES-256-CCM\", \"AES-128-GCM\", \"AES-192-GCM\", \"AES-256-GCM\"\n ] = \"AES-256-GCM\"", + "header": "@@ -136,9 +136,9 @@ class PoolCreateEncryptionOptions(BaseModel):", + "new_count": 9, + "new_start": 136, + "old_count": 9, + "old_start": 136 + }, + { + "content": " key: Secret[Annotated[str, Field(min_length=64, max_length=64)] | None] = None\n \"\"\"A hex-encoded key specified as an alternative to using `passphrase`.\"\"\"\n \n+ @classmethod\n+ def from_previous(cls, value):\n+ value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n+ return value\n+\n \n class PoolCreateTopologyVdevDRAID(BaseModel):\n type: Literal[\"DRAID1\", \"DRAID2\", \"DRAID3\"]", + "header": "@@ -148,6 +148,11 @@ class PoolCreateEncryptionOptions(BaseModel):", + "new_count": 11, + "new_start": 148, + "old_count": 6, + "old_start": 148 + } + ], + "language": "python", + "lines_added": 7, + "lines_removed": 2, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \"\"\"Generate a new random encryption key instead of using a provided key or passphrase.\"\"\"\n key_file: bool = False\n \"\"\"Whether the provided key is from a key file rather than entered directly.\"\"\"\n- pbkdf2iters: int = Field(default=350000, ge=100000)\n+ pbkdf2iters: int = Field(default=1300000, ge=1300000)\n \"\"\"Number of PBKDF2 iterations for passphrase-based keys. Higher values improve security against \\\n- brute force attacks but increase unlock time. Default 350,000 balances security and performance.\"\"\"\n+ brute force attacks but increase unlock time.\"\"\"\n passphrase: Secret[NonEmptyString | None] = None\n \"\"\"Passphrase to use for encryption key derivation.\"\"\"\n key: Secret[Annotated[str, Field(min_length=64, max_length=64)] | None] = None\n \"\"\"Raw hex-encoded encryption key.\"\"\"\n \n+ @classmethod\n+ def from_previous(cls, value):\n+ value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n+ return value\n+\n \n class PoolDatasetCreateUserProperty(BaseModel):\n key: Annotated[str, Field(examples=[\"custom:backup_policy\", \"org:created_by\"], pattern=\".*:.*\")]", + "header": "@@ -172,14 +172,19 @@ class PoolDatasetChangeKeyOptions(BaseModel):", + "new_count": 19, + "new_start": 172, + "old_count": 14, + "old_start": 172 + } + ], + "language": "python", + "lines_added": 7, + "lines_removed": 2, + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " # See the file LICENSE.IX for complete terms and conditions\n \n from middlewared.api.current import ZFSResourceQuery\n+from middlewared.plugins.zfs.encryption import check_key\n from middlewared.service import job, private, Service\n+from middlewared.service.decorators import pass_thread_local_storage\n \n from .connection import KMIPServerMixin\n ", + "header": "@@ -4,7 +4,9 @@", + "new_count": 9, + "new_start": 4, + "old_count": 7, + "old_start": 4 + }, + { + "content": " return rv\n \n @private\n- def push_zfs_keys(self, ids=None):\n+ @pass_thread_local_storage\n+ def push_zfs_keys(self, tls, ids=None):\n failed = []\n filters = [] if ids is None else [['id', 'in', ids]]\n existing_datasets = self.get_encrypted_datasets(filters)", + "header": "@@ -50,7 +52,8 @@ def get_encrypted_datasets(self, filters):", + "new_count": 8, + "new_start": 52, + "old_count": 7, + "old_start": 50 + }, + { + "content": " if not ds['encryption_key']:\n # We want to make sure we have the KMIP server's keys and in-memory keys in sync\n try:\n- if ds['name'] in self.zfs_keys and self.middleware.call_sync(\n- 'zfs.dataset.check_key', ds['name'], {'key': self.zfs_keys[ds['name']]}\n+ if (\n+ ds['name'] in self.zfs_keys\n+ and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n ):\n continue\n else:", + "header": "@@ -59,8 +62,9 @@ def push_zfs_keys(self, ids=None):", + "new_count": 9, + "new_start": 62, + "old_count": 8, + "old_start": 59 + }, + { + "content": " return failed\n \n @private\n- def pull_zfs_keys(self):\n+ @pass_thread_local_storage\n+ def pull_zfs_keys(self, tls):\n existing_datasets = self.get_encrypted_datasets([['kmip_uid', '!=', None]])\n failed = []\n connection_successful = self.middleware.call_sync('kmip.test_connection')", + "header": "@@ -91,7 +95,8 @@ def push_zfs_keys(self, ids=None):", + "new_count": 8, + "new_start": 95, + "old_count": 7, + "old_start": 91 + }, + { + "content": " try:\n if ds['encryption_key']:\n key = ds['encryption_key']\n- elif ds['name'] in self.zfs_keys and self.middleware.call_sync(\n- 'zfs.dataset.check_key', ds['name'], {'key': self.zfs_keys[ds['name']]}\n+ elif (\n+ ds['name'] in self.zfs_keys\n+ and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n ):\n key = self.zfs_keys[ds['name']]\n elif connection_successful:", + "header": "@@ -99,8 +104,9 @@ def pull_zfs_keys(self):", + "new_count": 9, + "new_start": 104, + "old_count": 8, + "old_start": 99 + }, + { + "content": " return failed\n \n @private\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'kmip_sync_zfs_keys_{args}')\n- def sync_zfs_keys(self, job, ids=None):\n+ def sync_zfs_keys(self, job, tls, ids=None):\n if not self.middleware.call_sync('kmip.zfs_keys_pending_sync'):\n return\n config = self.middleware.call_sync('kmip.config')\n conn_successful = self.middleware.call_sync('kmip.test_connection', None, True)\n if config['enabled'] and config['manage_zfs_keys']:\n if conn_successful:\n- failed = self.push_zfs_keys(ids)\n+ failed = self.push_zfs_keys(tls, ids) # type: ignore\n else:\n return\n else:\n- failed = self.pull_zfs_keys()\n+ failed = self.pull_zfs_keys(tls) # type: ignore\n if failed:\n self.middleware.call_sync(\n 'alert.oneshot_create', 'KMIPZFSDatasetsSyncFailure', {'datasets': ','.join(failed)}", + "header": "@@ -120,19 +126,20 @@ def pull_zfs_keys(self):", + "new_count": 20, + "new_start": 126, + "old_count": 19, + "old_start": 120 + } + ], + "language": "python", + "lines_added": 16, + "lines_removed": 9, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " from middlewared.service.decorators import pass_thread_local_storage\n from middlewared.utils.filter_list import filter_list\n from middlewared.plugins.pool_.utils import get_dataset_parents\n+from middlewared.plugins.zfs.encryption import check_key\n \n from .utils import DATASET_DATABASE_MODEL_NAME, dataset_can_be_mounted, retrieve_keys_from_file, ZFSKeyFormat\n ", + "header": "@@ -18,6 +18,7 @@", + "new_count": 7, + "new_start": 18, + "old_count": 6, + "old_start": 18 + }, + { + "content": " namespace = 'pool.dataset'\n \n @api_method(PoolDatasetEncryptionSummaryArgs, PoolDatasetEncryptionSummaryResult, roles=['DATASET_READ'])\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'encryption_summary_options_{args[0]}', pipes=['input'], check_pipes=False)\n- def encryption_summary(self, job, id_, options):\n+ def encryption_summary(self, job, tls, id_, options):\n \"\"\"\n Retrieve summary of all encrypted roots under `id`.\n ", + "header": "@@ -28,8 +29,9 @@ class Config:", + "new_count": 9, + "new_start": 29, + "old_count": 8, + "old_start": 28 + }, + { + "content": " verrors.check()\n datasets = self.query_encrypted_datasets(id_, {'all': True})\n \n- to_check = []\n+ results = []\n for name, ds in datasets.items():\n ds_key = keys_supplied.get(name, {}).get('key') or ds['encryption_key']\n if ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and ds_key:\n with contextlib.suppress(ValueError):\n ds_key = bytes.fromhex(ds_key)\n- to_check.append((name, {'key': ds_key}))\n \n- check_job = self.middleware.call_sync('zfs.dataset.bulk_process', 'check_key', to_check)\n- check_job.wait_sync()\n- if check_job.error:\n- raise CallError(f'Failed to retrieve encryption summary for {id_}: {check_job.error}')\n+ try:\n+ valid_key = check_key(tls, name, key=ds_key)\n+ except Exception:\n+ valid_key = False\n \n- results = []\n- for ds_data, status in zip(to_check, check_job.result):\n- ds_name = ds_data[0]\n- data = datasets[ds_name]\n results.append({\n- 'name': ds_name,\n- 'key_format': ZFSKeyFormat(data['key_format']['value']).value,\n- 'key_present_in_database': bool(data['encryption_key']),\n- 'valid_key': bool(status['result']), 'locked': data['locked'],\n+ 'name': name,\n+ 'key_format': ZFSKeyFormat(ds['key_format']['value']).value,\n+ 'key_present_in_database': bool(ds['encryption_key']),\n+ 'valid_key': valid_key,\n+ 'locked': ds['locked'],\n 'unlock_error': None,\n 'unlock_successful': False,\n })\n \n failed = set()\n for ds in sorted(results, key=lambda d: d['name'].count('/')):\n- for i in range(1, ds['name'].count('/') + 1):\n- check = ds['name'].rsplit('/', i)[0]\n+ ds_name = ds['name']\n+ for i in range(1, ds_name.count('/') + 1):\n+ check = ds_name.rsplit('/', i)[0]\n if check in failed:\n- failed.add(ds['name'])\n+ failed.add(ds_name)\n ds['unlock_error'] = f'Child cannot be unlocked when parent \"{check}\" is locked'\n \n- if ds['locked'] and not options['force'] and not keys_supplied.get(ds['name'], {}).get('force'):\n- err = dataset_can_be_mounted(ds['name'], os.path.join('/mnt', ds['name']))\n+ ds_locked = ds['locked']\n+ if ds_locked and not options['force'] and not keys_supplied.get(ds_name, {}).get('force'):\n+ err = dataset_can_be_mounted(ds_name, os.path.join('/mnt', ds_name))\n if ds['unlock_error'] and err:\n ds['unlock_error'] += f' and {err}'\n elif err:", + "header": "@@ -94,42 +96,40 @@ def encryption_summary(self, job, id_, options):", + "new_count": 40, + "new_start": 96, + "old_count": 42, + "old_start": 94 + }, + { + "content": " \n if ds['valid_key']:\n ds['unlock_successful'] = not bool(ds['unlock_error'])\n- elif not ds['locked']:\n+ elif not ds_locked:\n # For datasets which are already not locked, unlock operation for them\n # will succeed as they are not locked\n ds['unlock_successful'] = True\n else:\n- key_provided = ds['name'] in keys_supplied or ds['key_present_in_database']\n+ key_provided = ds_name in keys_supplied or ds['key_present_in_database']\n if key_provided:\n if ds['unlock_error']:\n- if ds['name'] in keys_supplied or ds['key_present_in_database']:\n+ if ds_name in keys_supplied or ds['key_present_in_database']:\n ds['unlock_error'] += ' and provided key is invalid'\n else:\n ds['unlock_error'] = 'Provided key is invalid'\n elif not ds['unlock_error']:\n ds['unlock_error'] = 'Key not provided'\n- failed.add(ds['name'])\n+ failed.add(ds_name)\n \n return results\n \n @periodic(86400)\n @private\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')\n- def sync_db_keys(self, job, name=None):\n+ def sync_db_keys(self, job, tls, name=None):\n if not self.middleware.call_sync('failover.is_single_master_node'):\n # We don't want to do this for passive controller\n return", + "header": "@@ -137,28 +137,29 @@ def encryption_summary(self, job, id_, options):", + "new_count": 29, + "new_start": 137, + "old_count": 28, + "old_start": 137 + }, + { + "content": " # It is possible we have a pool configured but for some mistake/reason the pool did not import like\n # during repair disks were not plugged in and system was booted, in such cases we would like to not\n # remove the encryption keys from the database.\n- for root_ds in {pool['name'] for pool in self.middleware.call_sync('pool.query')} - {\n- ds['id'] for ds in self.middleware.call_sync(\n+ pool_names = {pool['name'] for pool in self.middleware.call_sync('pool.query')}\n+ ds_names = {\n+ ds['id']\n+ for ds in self.middleware.call_sync(\n 'pool.dataset.query', [], {'extra': {'retrieve_children': False, 'properties': []}}\n )\n- }:\n+ }\n+ for root_ds in pool_names - ds_names:\n filters.extend([['name', '!=', root_ds], ['name', '!^', f'{root_ds}/']])\n \n db_datasets = self.query_encrypted_roots_keys(filters)\n encrypted_roots = {\n- d['name']: d for d in self.middleware.call_sync(\n- 'pool.dataset.query', filters, {'extra': {'properties': ['encryptionroot']}}\n- ) if d['name'] == d['encryption_root']\n+ d['name']: d\n+ for d in self.middleware.call_sync(\n+ 'pool.dataset.query',\n+ filters,\n+ {'extra': {'properties': ['encryptionroot', 'keyformat']}}\n+ )\n+ if d['name'] == d['encryption_root']\n }\n+\n to_remove = []\n- check_key_job = self.middleware.call_sync('zfs.dataset.bulk_process', 'check_key', [\n- (name, {'key': db_datasets[name]}) for name in db_datasets\n- ])\n- check_key_job.wait_sync()\n- if check_key_job.error:\n- self.logger.error(f'Failed to sync database keys: {check_key_job.error}')\n+ try:\n+ for ds_name, key in db_datasets.items():\n+ ds = encrypted_roots.get(ds_name)\n+ if ds and ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and key:\n+ with contextlib.suppress(ValueError):\n+ key = bytes.fromhex(key)\n+\n+ try:\n+ should_remove = not check_key(tls, ds_name, key=key)\n+ except Exception:\n+ should_remove = True\n+\n+ if should_remove:\n+ to_remove.append(ds_name)\n+\n+ except Exception as exc:\n+ self.logger.error(f'Failed to sync database keys: {exc}')\n return\n \n- for dataset, status in zip(db_datasets, check_key_job.result):\n- if not status['result']:\n- to_remove.append(dataset)\n- elif status['error']:\n- if dataset not in encrypted_roots:\n- to_remove.append(dataset)\n- else:\n- self.logger.error(f'Failed to check encryption status for {dataset}: {status[\"error\"]}')\n-\n self.middleware.call_sync('pool.dataset.delete_encrypted_datasets_from_db', [['name', 'in', to_remove]])\n \n @private", + "header": "@@ -167,37 +168,47 @@ def sync_db_keys(self, job, name=None):", + "new_count": 47, + "new_start": 168, + "old_count": 37, + "old_start": 167 + } + ], + "language": "python", + "lines_added": 57, + "lines_removed": 46, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " from datetime import datetime\n from pathlib import Path\n \n+from truenas_pylibzfs import ZFSError, ZFSException\n+\n from middlewared.api import api_method\n from middlewared.api.current import (\n PoolDatasetLockArgs, PoolDatasetLockResult, PoolDatasetUnlockArgs, PoolDatasetUnlockResult\n )\n+from middlewared.plugins.zfs.encryption import load_key\n from middlewared.service import CallError, job, private, Service, ValidationErrors\n+from middlewared.service.decorators import pass_thread_local_storage\n from middlewared.utils.filesystem.directory import directory_is_empty\n \n from .utils import (", + "header": "@@ -6,11 +6,15 @@", + "new_count": 15, + "new_start": 6, + "old_count": 11, + "old_start": 6 + }, + { + "content": " return True\n \n @api_method(PoolDatasetUnlockArgs, PoolDatasetUnlockResult, roles=['DATASET_WRITE'])\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'dataset_unlock_{args[0]}', pipes=['input'], check_pipes=False)\n- def unlock(self, job, id_, options):\n+ def unlock(self, job, tls, id_, options):\n \"\"\"\n Unlock dataset `id` (and its children if `unlock_options.recursive` is `true`).\n ", + "header": "@@ -85,8 +89,9 @@ async def lock(self, job, id_, options):", + "new_count": 9, + "new_start": 89, + "old_count": 8, + "old_start": 85 + }, + { + "content": " \n job.set_progress(int(name_i / len(names) * 90 + 0.5), f'Unlocking {name!r}')\n try:\n- self.middleware.call_sync(\n- 'zfs.dataset.load_key', name, {'key': datasets[name]['key'], 'mount': False}\n- )\n- except CallError as e:\n- failed[name]['error'] = 'Invalid Key' if 'incorrect key provided' in str(e).lower() else str(e)\n+ load_key(tls, name, key=datasets[name]['key'])\n+ except ZFSException as e:\n+ if e.code == ZFSError.EZFS_CRYPTOFAILED:\n+ failed[name]['error'] = 'Invalid Key'\n+ else:\n+ failed[name]['error'] = str(e)\n+ continue\n+ except Exception as e:\n+ failed[name]['error'] = str(e)\n continue\n \n # Before we mount the dataset in question, we should ensure that the path where it will be mounted", + "header": "@@ -214,11 +219,15 @@ def unlock(self, job, id_, options):", + "new_count": 15, + "new_start": 219, + "old_count": 11, + "old_start": 214 + } + ], + "language": "python", + "lines_added": 15, + "lines_removed": 6, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " PoolDatasetChangeKeyArgs, PoolDatasetChangeKeyResult, PoolDatasetInheritParentEncryptionPropertiesArgs,\n PoolDatasetInheritParentEncryptionPropertiesResult\n )\n+from middlewared.plugins.zfs.encryption import change_encryption_root, change_key\n from middlewared.service import CallError, job, private, Service, ValidationErrors\n+from middlewared.service.decorators import pass_thread_local_storage\n from middlewared.utils import secrets\n \n from .utils import DATASET_DATABASE_MODEL_NAME, ZFSKeyFormat", + "header": "@@ -4,7 +4,9 @@", + "new_count": 9, + "new_start": 4, + "old_count": 7, + "old_start": 4 + }, + { + "content": " PoolDatasetInsertOrUpdateEncryptedRecordResult,\n roles=['DATASET_WRITE']\n )\n- async def insert_or_update_encrypted_record(self, data):\n+ def insert_or_update_encrypted_record(self, data):\n key_format = data.pop('key_format') or ZFSKeyFormat.PASSPHRASE.value\n if not data['encryption_key'] or ZFSKeyFormat(key_format.upper()) == ZFSKeyFormat.PASSPHRASE:\n # We do not want to save passphrase keys - they are only known to the user\n return\n \n ds_id = data.pop('id')\n- ds = await self.middleware.call(\n+ ds = self.middleware.call_sync(\n 'datastore.query', DATASET_DATABASE_MODEL_NAME,\n [['id', '=', ds_id]] if ds_id else [['name', '=', data['name']]]\n )", + "header": "@@ -21,14 +23,14 @@ class Config:", + "new_count": 14, + "new_start": 23, + "old_count": 14, + "old_start": 21 + }, + { + "content": " \n pk = ds[0]['id'] if ds else None\n if ds:\n- await self.middleware.call(\n+ self.middleware.call_sync(\n 'datastore.update',\n DATASET_DATABASE_MODEL_NAME,\n ds[0]['id'], data\n )\n else:\n- pk = await self.middleware.call(\n+ pk = self.middleware.call_sync(\n 'datastore.insert',\n DATASET_DATABASE_MODEL_NAME,\n data\n )\n \n- kmip_config = await self.middleware.call('kmip.config')\n+ kmip_config = self.middleware.call_sync('kmip.config')\n if kmip_config['enabled'] and kmip_config['manage_zfs_keys']:\n- await self.middleware.call('kmip.sync_zfs_keys', [pk])\n+ self.middleware.call_sync('kmip.sync_zfs_keys', [pk])\n \n return pk\n ", + "header": "@@ -37,21 +39,21 @@ async def insert_or_update_encrypted_record(self, data):", + "new_count": 21, + "new_start": 39, + "old_count": 21, + "old_start": 37 + }, + { + "content": " return opts\n \n @api_method(PoolDatasetChangeKeyArgs, PoolDatasetChangeKeyResult, roles=['DATASET_WRITE'])\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'dataset_change_key_{args[0]}', pipes=['input'], check_pipes=False)\n- async def change_key(self, job, id_, options):\n+ def change_key(self, job, tls, id_, options):\n \"\"\"\n Change encryption properties for `id` encrypted dataset.\n ", + "header": "@@ -114,8 +116,9 @@ def validate_encryption_data(self, job, verrors, encryption_dict, schema):", + "new_count": 9, + "new_start": 116, + "old_count": 8, + "old_start": 114 + }, + { + "content": " 1) It has encrypted roots as children which are encrypted with a key\n 2) If it is a root dataset where the system dataset is located\n \"\"\"\n- ds = await self.middleware.call('pool.dataset.get_instance_quick', id_, {\n+ ds = self.middleware.call_sync('pool.dataset.get_instance_quick', id_, {\n 'encryption': True,\n })\n verrors = ValidationErrors()", + "header": "@@ -124,7 +127,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 127, + "old_count": 7, + "old_start": 124 + }, + { + "content": " )\n elif any(\n d['name'] == d['encryption_root']\n- for d in await self.middleware.call(\n+ for d in self.middleware.call_sync(\n 'pool.dataset.query', [\n ['id', '^', f'{id_}/'], ['encrypted', '=', True],\n ['key_format.value', '!=', ZFSKeyFormat.PASSPHRASE.value]", + "header": "@@ -142,7 +145,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 145, + "old_count": 7, + "old_start": 142 + }, + { + "content": " f'{id_} has children which are encrypted with a key. It is not allowed to have encrypted '\n 'roots which are encrypted with a key as children for passphrase encrypted datasets.'\n )\n- elif id_ == (await self.middleware.call('systemdataset.config'))['pool']:\n+ elif id_ == self.middleware.call_sync('systemdataset.config')['pool']:\n verrors.add(\n 'id',\n f'{id_} contains the system dataset. Please move the system dataset to a '", + "header": "@@ -154,7 +157,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 157, + "old_count": 7, + "old_start": 154 + }, + { + "content": " f'change_key_options.{k}',\n 'Either Key or passphrase must be provided.'\n )\n- elif id_.count('/') and await self.middleware.call(\n+ elif id_.count('/') and self.middleware.call_sync(\n 'pool.dataset.query', [\n ['id', 'in', [id_.rsplit('/', i)[0] for i in range(1, id_.count('/') + 1)]],\n ['key_format.value', '=', ZFSKeyFormat.PASSPHRASE.value], ['encrypted', '=', True]", + "header": "@@ -167,7 +170,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 170, + "old_count": 7, + "old_start": 167 + }, + { + "content": " \n verrors.check()\n \n- encryption_dict = await self.middleware.call(\n+ encryption_dict = self.middleware.call_sync(\n 'pool.dataset.validate_encryption_data', job, verrors, {\n 'enabled': True, 'passphrase': options['passphrase'],\n 'generate_key': options['generate_key'], 'key_file': options['key_file'],", + "header": "@@ -181,7 +184,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 184, + "old_count": 7, + "old_start": 181 + }, + { + "content": " encryption_dict.pop('encryption')\n key = encryption_dict.pop('key')\n \n- await self.middleware.call(\n- 'zfs.dataset.change_key', id_, {\n- 'encryption_properties': encryption_dict,\n- 'key': key, 'load_key': False,\n- }\n- )\n+ change_key(tls, id_, encryption_dict, key)\n \n # TODO: Handle renames of datasets appropriately wrt encryption roots and db - this will be done when\n # devd changes are in from the OS end\n data = {'encryption_key': key, 'key_format': 'PASSPHRASE' if options['passphrase'] else 'HEX', 'name': id_}\n- await self.insert_or_update_encrypted_record(data)\n+ self.insert_or_update_encrypted_record(data)\n if options['passphrase'] and ZFSKeyFormat(ds['key_format']['value']) != ZFSKeyFormat.PASSPHRASE:\n- await self.middleware.call('pool.dataset.sync_db_keys', id_)\n+ self.middleware.call_sync('pool.dataset.sync_db_keys', id_)\n \n data['old_key_format'] = ds['key_format']['value']\n- await self.middleware.call_hook('dataset.change_key', data)\n+ self.middleware.call_hook_sync('dataset.change_key', data)\n \n @api_method(\n PoolDatasetInheritParentEncryptionPropertiesArgs,\n PoolDatasetInheritParentEncryptionPropertiesResult,\n roles=['DATASET_WRITE']\n )\n- async def inherit_parent_encryption_properties(self, id_):\n+ @pass_thread_local_storage\n+ def inherit_parent_encryption_properties(self, tls, id_):\n \"\"\"\n Allows inheriting parent's encryption root discarding its current encryption settings. This\n can only be done where `id` has an encrypted parent and `id` itself is an encryption root.\n \"\"\"\n- ds = await self.middleware.call('pool.dataset.get_instance_quick', id_, {\n+ ds = self.middleware.call_sync('pool.dataset.get_instance_quick', id_, {\n 'encryption': True,\n })\n if not ds['encrypted']:", + "header": "@@ -194,34 +197,30 @@ async def change_key(self, job, id_, options):", + "new_count": 30, + "new_start": 197, + "old_count": 34, + "old_start": 194 + }, + { + "content": " elif '/' not in id_:\n raise CallError('Root datasets do not have a parent and cannot inherit encryption settings')\n else:\n- parent = await self.middleware.call(\n+ parent = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', id_.rsplit('/', 1)[0], {\n 'encryption': True,\n }", + "header": "@@ -233,7 +232,7 @@ async def inherit_parent_encryption_properties(self, id_):", + "new_count": 7, + "new_start": 232, + "old_count": 7, + "old_start": 233 + }, + { + "content": " if not parent['encrypted']:\n raise CallError('This operation requires the parent dataset to be encrypted')\n else:\n- parent_encrypted_root = await self.middleware.call(\n+ parent_encrypted_root = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', parent['encryption_root'], {\n 'encryption': True,\n }\n )\n- if ZFSKeyFormat(parent_encrypted_root['key_format']['value']) == ZFSKeyFormat.PASSPHRASE.value:\n+ if parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:\n if any(\n d['name'] == d['encryption_root']\n- for d in await self.middleware.call(\n+ for d in self.middleware.call_sync(\n 'pool.dataset.query', [\n ['id', '^', f'{id_}/'], ['encrypted', '=', True],\n ['key_format.value', '!=', ZFSKeyFormat.PASSPHRASE.value]", + "header": "@@ -241,15 +240,15 @@ async def inherit_parent_encryption_properties(self, id_):", + "new_count": 15, + "new_start": 240, + "old_count": 15, + "old_start": 241 + }, + { + "content": " 'roots which are encrypted with a key as children for passphrase encrypted datasets.'\n )\n \n- await self.middleware.call('zfs.dataset.change_encryption_root', id_, {'load_key': False})\n- await self.middleware.call('pool.dataset.sync_db_keys', id_)\n- await self.middleware.call_hook('dataset.inherit_parent_encryption_root', id_)\n+ change_encryption_root(tls, id_)\n+ self.middleware.call_sync('pool.dataset.sync_db_keys', id_)\n+ self.middleware.call_hook_sync('dataset.inherit_parent_encryption_root', id_)", + "header": "@@ -261,6 +260,6 @@ async def inherit_parent_encryption_properties(self, id_):", + "new_count": 6, + "new_start": 260, + "old_count": 6, + "old_start": 261 + } + ], + "language": "python", + "lines_added": 29, + "lines_removed": 30, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+import threading\n+from typing import Literal, TypedDict, cast\n+\n+from .exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n+from .utils import open_resource\n+\n+\n+class EncryptionProperties(TypedDict, total=False):\n+ keyformat: Literal['hex', 'passphrase', 'raw']\n+ keylocation: str\n+ pbkdf2iters: int | None\n+\n+\n+def load_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> None:\n+ \"\"\"\n+ Load the encryption key for a ZFS dataset.\n+\n+ Args:\n+ dataset: Name of the ZFS dataset whose key should be loaded.\n+\n+ Keyword Args:\n+ key: Key material as ``str`` (hex/passphrase) or ``bytes`` (raw).\n+ Mutually exclusive with ``key_location``.\n+ key_location: Path to the key file on disk.\n+ Mutually exclusive with ``key``.\n+ \"\"\"\n+ if len(kwargs) > 1:\n+ raise ValueError('Cannot specify both key and key location')\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ if crypto.info().key_is_loaded:\n+ raise ZFSKeyAlreadyLoadedException(dataset)\n+ crypto.load_key(**kwargs)\n+\n+\n+def check_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> bool:\n+ \"\"\"\n+ Return True if ``key`` (or the key at ``key_location``) can unlock ``dataset``.\n+\n+ Does not actually load the key. Raises ZFSNotEncryptedException if the\n+ dataset is not encrypted or if the ZFS operation fails for a reason other\n+ than a wrong key (EZFS_CRYPTOFAILED returns False rather than raising).\n+\n+ Args:\n+ dataset: Name of the ZFS dataset to check.\n+\n+ Keyword Args:\n+ key: Key material as ``str`` (hex/passphrase) or ``bytes`` (raw).\n+ Mutually exclusive with ``key_location``.\n+ key_location: Path to the key file on disk.\n+ Mutually exclusive with ``key``.\n+ \"\"\"\n+ if len(kwargs) > 1:\n+ raise ValueError('Cannot specify both key and key location')\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ return crypto.check_key(**kwargs) # type: ignore[no-any-return]\n+\n+\n+def change_key(\n+ tls: threading.local,\n+ dataset: str,\n+ properties: EncryptionProperties | None = None,\n+ key: str | None = None\n+) -> None:\n+ \"\"\"\n+ Change the encryption key and/or properties for ``dataset``.\n+\n+ The dataset's key must already be loaded before calling this.\n+\n+ Args:\n+ dataset: Name of the ZFS dataset whose key should be changed.\n+ properties: May contain any combination of keyformat, keylocation, and\n+ pbkdf2iters.\n+ key: New key material. Required when keylocation is not given.\n+ \"\"\"\n+ props = {} if properties is None else cast(dict[str, str | int | None], properties.copy())\n+ if key:\n+ props.pop('keylocation', None)\n+ props['key'] = key\n+ elif 'keylocation' not in props:\n+ raise ValueError('Must specify either key or key location')\n+\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ config = tls.lzh.resource_cryptography_config(**props)\n+ crypto.change_key(info=config)\n+\n+\n+def change_encryption_root(tls: threading.local, dataset: str) -> None:\n+ \"\"\"\n+ Make ``dataset`` inherit encryption from its parent, removing it as\n+ an encryption root.\n+\n+ ``dataset`` must currently be an encryption root and its key must be loaded.\n+\n+ Args:\n+ dataset: Name of the ZFS dataset to remove as an encryption root.\n+ \"\"\"\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ crypto.inherit_key()", + "header": "@@ -0,0 +1,106 @@", + "new_count": 106, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "python", + "lines_added": 106, + "lines_removed": 0, + "path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "status": "added" + }, + { + "hunks": [ + { + "content": "-from typing import Collection\n+from typing import Iterable\n \n __all__ = (\n+ \"ZFSKeyAlreadyLoadedException\",\n+ \"ZFSNotEncryptedException\",\n \"ZFSPathAlreadyExistsException\",\n \"ZFSPathInvalidException\",\n \"ZFSPathNotASnapshotException\",", + "header": "@@ -1,6 +1,8 @@", + "new_count": 8, + "new_start": 1, + "old_count": 6, + "old_start": 1 + }, + { + "content": " )\n \n \n+class ZFSKeyAlreadyLoadedException(Exception):\n+ def __init__(self, path: str):\n+ self.message = f\"{path!r} key is already loaded\"\n+ super().__init__(self.message)\n+\n+\n+class ZFSNotEncryptedException(Exception):\n+ def __init__(self, path: str):\n+ self.message = f\"{path!r} is not encrypted\"\n+ super().__init__(self.message)\n+\n+\n class ZFSPathAlreadyExistsException(Exception):\n def __init__(self, path: str):\n self.message = f\"{path!r} already exists\"", + "header": "@@ -9,6 +11,18 @@", + "new_count": 18, + "new_start": 11, + "old_count": 6, + "old_start": 9 + }, + { + "content": " \n \n class ZFSPathHasClonesException(Exception):\n- def __init__(self, path: str, clones: Collection[str]):\n+ def __init__(self, path: str, clones: Iterable[str]):\n self.path = path\n self.clones = clones\n self.message = f\"{path!r} has the following clones: {','.join(clones)}\"", + "header": "@@ -16,7 +30,7 @@ def __init__(self, path: str):", + "new_count": 7, + "new_start": 30, + "old_count": 7, + "old_start": 16 + }, + { + "content": " \n \n class ZFSPathHasHoldsException(Exception):\n- def __init__(self, path: str, holds: Collection[str]):\n+ def __init__(self, path: str, holds: Iterable[str]):\n self.message = f\"{path!r} has the following holds: {','.join(holds)}\"\n super().__init__(self.message)\n ", + "header": "@@ -24,7 +38,7 @@ def __init__(self, path: str, clones: Collection[str]):", + "new_count": 7, + "new_start": 38, + "old_count": 7, + "old_start": 24 + } + ], + "language": "python", + "lines_added": 17, + "lines_removed": 3, + "path": "src/middlewared/middlewared/plugins/zfs/exceptions.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": "-import libzfs\n-\n-from middlewared.service import CallError, job, Service\n-\n-\n-class ZFSDatasetService(Service):\n-\n- class Config:\n- namespace = 'zfs.dataset'\n- private = True\n- process_pool = True\n-\n- def common_load_dataset_checks(self, id_, ds):\n- self.common_encryption_checks(id_, ds)\n- if ds.key_loaded:\n- raise CallError(f'{id_} key is already loaded')\n-\n- def common_encryption_checks(self, id_, ds):\n- if not ds.encrypted:\n- raise CallError(f'{id_} is not encrypted')\n-\n- def load_key(self, id_: str, options: dict | None = None):\n- if options is None:\n- options = {\n- 'mount': True,\n- 'recursive': False,\n- 'key': None,\n- 'key_location': None,\n- }\n- options.setdefault('mount', True)\n- options.setdefault('recursive', False)\n- options.setdefault('key', None)\n- options.setdefault('key_location', None)\n-\n- mount_ds = options.pop('mount')\n- recursive = options.pop('recursive')\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- self.common_load_dataset_checks(id_, ds)\n- ds.load_key(**options)\n- except libzfs.ZFSException as e:\n- self.logger.error(f'Failed to load key for {id_}', exc_info=True)\n- raise CallError(f'Failed to load key for {id_}: {e}')\n- else:\n- if mount_ds:\n- self.call_sync2(self.s.zfs.resource.mount, id_, recursive=recursive)\n-\n- def check_key(self, id_: str, options: dict | None = None):\n- \"\"\"\n- Returns `true` if the `key` is valid, `false` otherwise.\n- \"\"\"\n- if options is None:\n- options = {\n- 'key': None,\n- 'key_location': None,\n- }\n-\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- self.common_encryption_checks(id_, ds)\n- return ds.check_key(**options)\n- except libzfs.ZFSException as e:\n- self.logger.error(f'Failed to check key for {id_}', exc_info=True)\n- raise CallError(f'Failed to check key for {id_}: {e}')\n-\n- def change_key(self, id_: str, options: dict | None = None):\n- if options is None:\n- options = {\n- 'encryption_properties': {},\n- 'load_key': True,\n- 'key': None,\n- }\n-\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- self.common_encryption_checks(id_, ds)\n- ds.change_key(props=options['encryption_properties'], load_key=options['load_key'], key=options['key'])\n- except libzfs.ZFSException as e:\n- self.logger.error(f'Failed to change key for {id_}', exc_info=True)\n- raise CallError(f'Failed to change key for {id_}: {e}')\n-\n- def change_encryption_root(self, id_: str, options: dict | None = None):\n- if options is None:\n- options = {'load_key': True}\n-\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- ds.change_key(load_key=options['load_key'], inherit=True)\n- except libzfs.ZFSException as e:\n- raise CallError(f'Failed to change encryption root for {id_}: {e}')\n-\n- @job()\n- def bulk_process(self, job, name: str, params: list):\n- f = getattr(self, name, None)\n- if not f:\n- raise CallError(f'{name} method not found in zfs.dataset')\n-\n- statuses = []\n- for i in params:\n- result = error = None\n- try:\n- result = f(*i)\n- except Exception as e:\n- error = str(e)\n- finally:\n- statuses.append({'result': result, 'error': error})\n-\n- return statuses", + "header": "@@ -1,112 +0,0 @@", + "new_count": 0, + "new_start": 0, + "old_count": 112, + "old_start": 1 + } + ], + "language": "", + "lines_added": 0, + "lines_removed": 112, + "path": "", + "status": "removed" + } + ], + "intent_gaps": [ + "PR description mentions removing 'another use case of our process pool' but doesn't mention the specific file being removed (the diff shows 1 file removed with 112 lines). The removed file likely contained the old py-libzfs implementation that's being replaced", + "PR description references dependency on truenas_pylibzfs PR #145 but doesn't document what specific functionality from that PR is required (likely the resource_cryptography_config or crypto() methods)", + "The new encryption.py module uses tls.lzh.resource_cryptography_config() and crypto() methods (lines 89,30-33,57-59) but there's no validation that these methods exist in the version of truenas_pylibzfs being used - this could cause runtime AttributeError if the dependency version is wrong", + "The PR adds exception classes but doesn't document what happens when encrypted dataset operations encounter other ZFS errors (EZFS_NOMEM, EZFS_IO, etc) - these may now bubble up as unhandled ZFSException instead of being wrapped in CallError" + ], + "pr_narrative": "This PR refactors ZFS dataset encryption operations by replacing the deprecated py-libzfs library with truenas_pylibzfs. The primary change creates a new abstraction layer in middlewared/plugins/zfs/encryption.py that provides four core encryption functions: load_key(), check_key(), change_key(), and change_encryption_root(). These functions use thread-local storage (tls) to access the ZFS library handle and operate directly on datasets without requiring the process pool. The refactor affects three main areas: (1) pool dataset encryption operations (unlock, change_key, inherit_parent_encryption_properties), (2) encryption info queries (encryption_summary, sync_db_keys, path_in_locked_datasets), and (3) KMIP ZFS key management (push_zfs_keys, pull_zfs_keys, sync_zfs_keys). The old mechanism used process pool workers to execute py-libzfs operations in separate processes, while the new mechanism uses @pass_thread_local_storage decorator to inject the ZFS library handle directly into method calls, eliminating process pool overhead.", + "risk_surfaces": [ + "Thread-local storage contract: All encryption functions now require 'tls' parameter injected via @pass_thread_local_storage decorator. Callers that bypass the decorator or call these functions outside the middleware service context will fail. Affected files: dataset_encryption_lock.py:222, dataset_encryption_operations.py:200, dataset_encryption_info.py:107,201, kmip/zfs_keys.py:67,109", + "Exception type changes: New code raises ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException from middlewared.plugins.zfs.exceptions, while old code likely raised different exception types from py-libzfs. Callers catching specific exception types may break. File: middlewared/plugins/zfs/exceptions.py adds these new exception classes", + "Key format handling: RAW keys are hex-encoded when stored in database but must be converted back to bytes before calling check_key(). The conversion happens in multiple places (dataset_encryption_info.py:103-104, dataset_encryption_lock.py:178-182) - any inconsistency in encoding/decoding will cause key validation failures", + "Error code mapping: ZFSException from truenas_pylibzfs uses ZFSError enum (EZFS_CRYPTOFAILED, EZFS_NOENT). Code in dataset_encryption_lock.py:223-228 checks e.code == ZFSError.EZFS_CRYPTOFAILED - if error codes differ between old and new library, error handling logic will fail", + "Concurrent access: The path_in_locked_datasets() method is marked as 'EXTREMELY hot code path' (dataset_encryption_info.py:237). Changing from process pool to direct library calls may have different concurrency characteristics under high load", + "Process pool removal: The PR removes a process pool use case. If other parts of the system depend on serialization through the process pool for ZFS operations, concurrent ZFS operations could now race in ways they didn't before", + "KMIP key caching: kmip/zfs_keys.py uses self.zfs_keys in-memory cache (line 18) which persists across calls. With faster direct library calls, race conditions between cache updates and key validation could manifest differently", + "Raw key validation: check_key() returns False on EZFS_CRYPTOFAILED but raises on other errors. If truenas_pylibzfs behavior differs from py-libzfs for edge cases (malformed keys, permission errors), error propagation changes" + ], + "stats": { + "files_added": 1, + "files_modified": 7, + "files_removed": 1, + "files_renamed": 0, + "test_files_changed": 0, + "test_to_code_ratio": 0, + "total_additions": 254, + "total_deletions": 210, + "total_files": 9 + }, + "unrelated_changes": [ + "pool.py: PoolCreateEncryptionOptions.pbkdf2iters default value was updated from implicit default to explicit 1300000 minimum in from_previous() method. This appears unrelated to the py-libzfs to truenas_pylibzfs migration and should be in a separate PR", + "pool_dataset.py: Same pbkdf2iters change in PoolDatasetChangeKeyOptions class. Lines 175-186 contain changes not directly related to encryption method refactoring" + ] + }, + "budget": { + "budget_exhausted": true, + "cost_breakdown": { + "adversary": 0, + "anatomy": 0, + "coverage": 0, + "cross_ref": 0, + "intake": 0, + "output": 0, + "planning": 0, + "review": 0, + "synthesis": 0 + }, + "max_cost_usd": 10, + "max_duration_seconds": 3600, + "total_cost_usd": 0 + }, + "intake": { + "ai_generated": 0, + "areas_touched": [ + "api" + ], + "complexity": "complex", + "languages": [ + "python" + ], + "pr_summary": "Replace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods. This removes another use case of our process pool.\r\n\r\nDepends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145.", + "pr_type": "refactor", + "review_depth": "thorough", + "risk_signals": [ + "changes API surface or request/response behavior" + ] + }, + "phases_completed": [ + "intake", + "anatomy", + "planning", + "review", + "cross_ref", + "adversary", + "coverage", + "synthesis", + "output" + ], + "plan": { + "ai_adjusted": false, + "cross_ref_hints": [ + "If dimension 1 (Thread-Local Storage) finds callers without proper tls context, AND dimension 2 (Exception Types) finds new exception handling requirements, check if the tls-related exceptions are properly caught and converted at service boundaries.", + "If dimension 3 (Error Code Mapping) finds different ZFSError codes between libraries AND dimension 6 (Process Pool Removal) finds concurrent operations, verify that error handling doesn't introduce race conditions in multi-threaded error recovery paths.", + "If dimension 4 (Key Encoding) finds inconsistencies AND dimension 8 (check_key Errors) finds error propagation changes, ensure that key validation failures don't cause silent authentication bypasses.", + "If dimension 5 (Hot Path Concurrency) finds performance issues AND dimension 7 (KMIP Cache) finds race conditions, check if the combined effect causes cache corruption under high load with concurrent KMIP operations.", + "If dimension 9 (API Changes) finds schema modifications AND dimension 2 (Exception Types) finds new exception classes, verify that new exceptions are properly serialized in API responses and don't cause client parsing errors.", + "If dimension 10 (Resource Cleanup) finds cleanup issues AND dimension 6 (Process Pool Removal) finds lost serialization, verify that resource leaks don't accumulate faster without process pool isolation." + ], + "dimensions": [ + { + "budget": { + "max_child_spawns": 3, + "max_cost_usd": 0.75, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ], + "id": "dim_1", + "name": "Thread-Local Storage Contract Validation", + "priority": 1, + "review_prompt": "Investigate the new thread-local storage (tls) parameter requirement introduced by the @pass_thread_local_storage decorator. The new encryption functions in middlewared/plugins/zfs/encryption.py now require 'tls' to access the ZFS library handle.\n\nTarget investigation:\n1. Trace all direct callers of load_key(), check_key(), change_key(), and change_encryption_root() from middlewared/plugins/zfs/encryption.py\n2. Verify these callers are methods decorated with @pass_thread_local_storage or are called within a context where tls is available\n3. Check if any callers bypass the decorator or call these functions from non-middleware contexts (background jobs, CLI tools, tests)\n4. Look for any code paths where encryption functions might be called before thread-local storage is initialized\n\nWhat 'correct' looks like:\n- All callers have access to tls through the decorator chain\n- No naked function calls exist outside the middleware service context\n- Error messages clearly indicate when tls is missing\n\nSubtle failures to watch for:\n- Background job runners that don't initialize thread-local storage\n- Unit tests that call encryption methods directly without setting up the decorator chain\n- API endpoints that delegate to helper functions which lose the tls context\n- Async code that switches threads and loses the tls binding", + "target_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py" + ] + }, + { + "budget": { + "max_child_spawns": 3, + "max_cost_usd": 0.75, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ], + "id": "dim_2", + "name": "Exception Type Compatibility", + "priority": 2, + "review_prompt": "Analyze the exception type changes between py-libzfs and truenas_pylibzfs. The new code introduces ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException in middlewared/plugins/zfs/exceptions.py, while the old code likely raised different exception types from py-libzfs.\n\nTarget investigation:\n1. Map all try/except blocks in the changed files that catch ZFS-related exceptions\n2. Compare the old exception types (likely libzfs.ZFSException or similar) with the new ones\n3. Verify that callers in dataset_encryption_lock.py, dataset_encryption_info.py, kmip/zfs_keys.py handle both old and new exception types appropriately\n4. Check if any catch-all exception handlers might mask type changes\n5. Look for exception chaining - does the new code wrap old exceptions or replace them?\n\nWhat 'correct' looks like:\n- Exception hierarchies are preserved or clearly documented\n- Callers catch appropriate exception types for their use case\n- No bare except: clauses hide exception type mismatches\n- Error handling logic responds correctly to new exception types\n\nSubtle failures to watch for:\n- Code that catches specific py-libzfs exception classes that no longer exist\n- Exception type checking using isinstance() that fails with new types\n- String matching on exception messages that may have changed\n- Middleware exception middleware that expects certain exception types for HTTP status codes", + "target_files": [ + "src/middlewared/middlewared/plugins/zfs/exceptions.py", + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py" + ] + }, + { + "budget": { + "max_child_spawns": 3, + "max_cost_usd": 0.75, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/exceptions.py" + ], + "id": "dim_3", + "name": "Error Code Mapping and ZFSError Handling", + "priority": 3, + "review_prompt": "Verify the error code mapping between py-libzfs and truenas_pylibzfs ZFSError enums. The code in dataset_encryption_lock.py:223-228 specifically checks e.code == ZFSError.EZFS_CRYPTOFAILED. If error codes differ between libraries, error handling logic will silently fail.\n\nTarget investigation:\n1. Compare ZFSError enum values between py-libzfs and truenas_pylibzfs\n2. Trace all code that accesses exception.code or exception errno attributes\n3. Verify error code constants match (EZFS_CRYPTOFAILED, EZFS_NOENT, etc.)\n4. Check how ZFSError is imported and used across all changed files\n5. Look for hardcoded error code values vs. enum references\n\nWhat 'correct' looks like:\n- Error codes are semantically equivalent between libraries\n- All error code comparisons use the ZFSError enum, not magic numbers\n- EZFS_CRYPTOFAILED and EZFS_NOENT map to the same error conditions\n- Error handling branches execute as expected\n\nSubtle failures to watch for:\n- Different numeric values for the same logical error\n- New error codes in truenas_pylibzfs that have no py-libzfs equivalent\n- Error code comparisons that use '==' when they should use a set of codes\n- Cases where exception.code might be None or unset", + "target_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py" + ] + }, + { + "budget": { + "max_child_spawns": 3, + "max_cost_usd": 0.75, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py" + ], + "id": "dim_4", + "name": "Raw Key Hex Encoding Consistency", + "priority": 4, + "review_prompt": "Analyze the RAW key hex encoding/decoding logic across all encryption operations. RAW keys are hex-encoded when stored in the database but must be converted back to bytes before calling check_key(). The conversion happens in multiple places and any inconsistency will cause key validation failures.\n\nTarget investigation:\n1. Trace the full key data flow from storage to usage:\n - dataset_encryption_info.py:103-104\n - dataset_encryption_lock.py:178-182\n - kmip/zfs_keys.py key handling\n2. Verify hex encoding/decoding is symmetric (encode -> decode produces original bytes)\n3. Check for cases where keys might be double-encoded or double-decoded\n4. Ensure consistent encoding (uppercase vs lowercase hex, with/without '0x' prefix)\n5. Verify key length validation happens after decoding, not before\n\nWhat 'correct' looks like:\n- Single, consistent encoding scheme throughout the pipeline\n- All database-stored keys decode correctly before ZFS operations\n- Key validation checks the actual bytes length, not hex string length\n- No key transformation happens in multiple places inconsistently\n\nSubtle failures to watch for:\n- Keys stored as hex that get re-encoded before storage (double hex)\n- Keys passed to ZFS that are still in hex string form instead of bytes\n- Mixed encoding schemes (some uppercase, some lowercase)\n- Keys that bypass the encoding layer and cause silent failures", + "target_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ] + }, + { + "budget": { + "max_child_spawns": 3, + "max_cost_usd": 0.75, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [], + "id": "dim_5", + "name": "Hot Code Path Concurrency Characteristics", + "priority": 5, + "review_prompt": "Evaluate the path_in_locked_datasets() method in dataset_encryption_info.py, marked as 'EXTREMELY hot code path' at line 237. The change from process pool to direct library calls may have different concurrency characteristics under high load.\n\nTarget investigation:\n1. Compare the concurrency model: process pool serialization vs. direct library calls\n2. Analyze how the new implementation handles concurrent calls to path_in_locked_datasets()\n3. Check if the ZFS library handle (via tls) has any internal locking or thread-safety guarantees\n4. Trace the call frequency and caller patterns for this hot path\n5. Verify no new race conditions or contention points are introduced\n6. Check if the change affects latency characteristics for this hot path\n\nWhat 'correct' looks like:\n- Concurrent calls don't corrupt internal state\n- Performance is maintained or improved under load\n- No deadlocks introduced by thread-local storage access\n- ZFS library handles are thread-safe or properly isolated\n\nSubtle failures to watch for:\n- Thread contention on shared ZFS handles\n- Performance degradation under high concurrent load\n- Race conditions in the locked_datasets cache\n- Deadlocks between multiple concurrent encryption operations", + "target_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/zfs/encryption.py" + ] + }, + { + "budget": { + "max_child_spawns": 3, + "max_cost_usd": 0.75, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [], + "id": "dim_6", + "name": "Process Pool Serialization Removal Impact", + "priority": 6, + "review_prompt": "Assess the impact of removing the process pool use case for ZFS operations. The process pool provided implicit serialization and isolation; direct library calls may introduce race conditions in ways the old code avoided.\n\nTarget investigation:\n1. Identify what serialization guarantees the process pool provided (one operation at a time? per-dataset? global?)\n2. Map all ZFS operations that now run directly and their potential interaction points\n3. Check for operations that should not run concurrently (e.g., load_key on same dataset)\n4. Verify no new race conditions between concurrent unlock/lock/change_key operations\n5. Look for any missing synchronization primitives that the process pool provided\n6. Check if other parts of the codebase still use the process pool and might conflict with direct calls\n\nWhat 'correct' looks like:\n- Critical operations are still serialized if they need to be\n- No race conditions between concurrent ZFS modifications\n- Dataset state remains consistent during concurrent operations\n- Direct calls don't interfere with process pool operations elsewhere\n\nSubtle failures to watch for:\n- Multiple concurrent key loads on the same dataset\n- Race between key validation and key change\n- State checks that were atomic in the pool but aren't in direct calls\n- Interaction between direct encryption calls and pool-based ZFS operations elsewhere", + "target_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "src/middlewared/middlewared/plugins/zfs/encryption.py" + ] + }, + { + "budget": { + "max_child_spawns": 3, + "max_cost_usd": 0.75, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" + ], + "id": "dim_7", + "name": "KMIP In-Memory Key Cache Race Conditions", + "priority": 7, + "review_prompt": "Analyze the KMIP key cache (self.zfs_keys at kmip/zfs_keys.py:18) interaction with the new direct library calls. The in-memory cache persists across calls and with faster direct library calls, race conditions between cache updates and key validation could manifest differently.\n\nTarget investigation:\n1. Trace the self.zfs_keys cache lifecycle and access patterns\n2. Check cache consistency during push_zfs_keys(), pull_zfs_keys(), and sync_zfs_keys()\n3. Verify cache invalidation happens correctly when keys change\n4. Analyze concurrent access to the cache from multiple KMIP operations\n5. Check if the cache could return stale data after direct library operations\n6. Verify thread safety of the cache access (is it shared across threads?)\n\nWhat 'correct' looks like:\n- Cache is invalidated appropriately when keys are modified\n- No stale cache entries returned after key operations\n- Cache operations are thread-safe\n- Cache state matches actual ZFS dataset state\n\nSubtle failures to watch for:\n- Cache returning stale keys after concurrent key changes\n- Race between cache read and ZFS key update\n- Memory leaks from uncleaned cache entries\n- Inconsistent cache state after failed operations", + "target_files": [ + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ] + }, + { + "budget": { + "max_child_spawns": 3, + "max_cost_usd": 0.75, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ], + "id": "dim_8", + "name": "Error Propagation in check_key()", + "priority": 8, + "review_prompt": "Verify the error propagation behavior of check_key() - it returns False on EZFS_CRYPTOFAILED but raises on other errors. If truenas_pylibzfs behavior differs from py-libzfs for edge cases (malformed keys, permission errors), error propagation changes could break callers.\n\nTarget investigation:\n1. Trace the check_key() implementation and its error handling logic\n2. Map all callers of check_key() and their exception handling\n3. Verify that callers expect False return vs. raised exception for each error case\n4. Check edge cases: malformed keys, permission denied, dataset not found, already loaded key\n5. Compare error behavior between py-libzfs check_key() and truenas_pylibzfs version\n6. Look for callers that rely on specific exception types from failed key checks\n\nWhat 'correct' looks like:\n- EZFS_CRYPTOFAILED returns False as expected by callers\n- Other errors raise exceptions that callers catch appropriately\n- Edge cases produce consistent results between old and new implementations\n- No silent failures where exceptions are swallowed unexpectedly\n\nSubtle failures to watch for:\n- Changed exception types for permission errors\n- Different behavior for malformed key formats\n- Silent failures where old code raised but new code returns False\n- Callers that expect exceptions but get False returns", + "target_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [], + "id": "dim_9", + "name": "API Surface Changes", + "priority": 9, + "review_prompt": "Review the API v26_0_0 changes in pool.py and pool_dataset.py to ensure no breaking changes to the request/response schema. Even internal method signature changes can affect the generated API if they alter public method behaviors.\n\nTarget investigation:\n1. Compare the API schemas in pool.py and pool_dataset.py before and after\n2. Check if any method signatures changed that are exposed via @api_method or similar decorators\n3. Verify no new required parameters are added without defaults\n4. Check if return types changed in ways that affect JSON serialization\n5. Look for any changes to encryption-related API models or validators\n6. Ensure error response formats remain compatible\n\nWhat 'correct' looks like:\n- API schemas remain backward compatible\n- No new required fields in request models\n- Response formats unchanged\n- Error responses follow existing patterns\n\nSubtle failures to watch for:\n- Changed default values affecting client behavior\n- New validators rejecting previously valid inputs\n- Different serialization of complex types\n- API version compatibility issues", + "target_files": [ + "src/middlewared/middlewared/api/v26_0_0/pool.py", + "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py" + ] + }, + { + "budget": { + "max_child_spawns": 3, + "max_cost_usd": 0.75, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py" + ], + "id": "dim_10", + "name": "Resource Cleanup and Error Recovery", + "priority": 10, + "review_prompt": "Verify that the new direct library calls properly handle resource cleanup and error recovery. The process pool provided implicit resource isolation; direct calls may require explicit cleanup of ZFS handles or dataset references.\n\nTarget investigation:\n1. Check if truenas_pylibzfs requires explicit resource cleanup (handles, references)\n2. Trace error paths to ensure resources are freed on exceptions\n3. Look for potential memory leaks from uncleaned ZFS objects\n4. Verify dataset handles are properly released after operations\n5. Check cleanup behavior in edge cases (partial failures, interrupted operations)\n6. Compare cleanup guarantees between process pool (process exit) and direct calls\n\nWhat 'correct' looks like:\n- All ZFS resources are properly released after use\n- Exception handlers include cleanup logic\n- No resource leaks in error paths\n- Cleanup happens even on unexpected exceptions\n\nSubtle failures to watch for:\n- Leaked ZFS handles accumulating over time\n- Dataset references preventing pool operations\n- Memory leaks from Python objects wrapping C library resources\n- Cleanup code that doesn't run due to exception handling order", + "target_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py" + ] + } + ], + "total_budget": { + "max_child_spawns": 29, + "max_cost_usd": 6.75, + "max_duration_seconds": 810, + "max_reference_follows": 38 + } + } + }, + "pr_url": "https://github.com/truenas/middleware/pull/18291", + "review": { + "body": "## \ud83d\udd34 PR-AF Review \u2014 **Needs Major Rework**\n\n*Automated multi-agent code review \u00b7 [PR-AF](https://github.com/Agent-Field/agentfield) built with [AgentField](https://github.com/Agent-Field/agentfield)*\n\n> **25 findings** \u00b7 \ud83d\udd34 8 critical \u00b7 \ud83d\udfe0 17 important \u00b7 \ud83d\udd35 0 suggestions \u00b7 \u26aa 0 nitpicks\n\n
\nPR Overview\n\nReplace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods. This removes another use case of our process pool.\r\n\r\nDepends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145.\n\n
\n\n### Key Findings\n\n**25 issue(s) should be addressed before merge:**\n\n- \ud83d\udd34 **Breaking Change: pbkdf2iters minimum and default increased from 350000 to 1300000** (`src/middlewared/middlewared/api/v26_0_0/pool.py:139`) \u2014 The `PoolCreateEncryptionOptions.pbkdf2iters` field has breaking changes that affect API compatibility: 1.\n- \ud83d\udd34 **Breaking Change: PoolDatasetChangeKeyOptions.pbkdf2iters minimum increased to 1300000** (`src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:170`) \u2014 Same critical issue as PoolCreateEncryptionOptions: the `PoolDatasetChangeKeyOptions.pbkdf2iters` field has breaking changes: 1.\n- \ud83d\udd34 **Failover unlock uses different lock namespace than user unlock - allows concurrent operations on same dataset** (`src/middlewared/middlewared/plugins/failover.py:553`) \u2014 The failover service's `unlock_zfs_datasets` method uses job lock `'failover_dataset_unlock'` (line 553), while the user-facing `pool.dataset.unlock` method uses lock `f'dataset_unlock_{args[0]}'` (da\u2026\n- \ud83d\udd34 **Breaking Change: PoolCreateTopologySpecialVdev now allows DRAID types** (`src/middlewared/middlewared/api/v26_0_0/pool.py:180`) \u2014 The `PoolCreateTopologySpecialVdev` type has changed from a restricted model to an alias that includes DRAID types.\n- \ud83d\udd34 **PoolScan model lacks None/null support for required fields** (`src/middlewared/middlewared/api/v26_0_0/pool_scrub.py:108`) \u2014 The **PoolScan** model in v26_0_0 defines all fields as non-nullable (except `end_time`, `pause`, and `total_secs_left`), but the **v25_10_2** dict example shows all fields can be `None`.\n- \ud83d\udd34 **Inconsistent ZFSError comparison pattern may cause silent error handling failure** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:223`) \u2014 The code at lines 223-228 uses a direct comparison pattern `e.code == ZFSError.EZFS_CRYPTOFAILED` which is inconsistent with other files in the codebase.\n- \ud83d\udd34 **TOCTOU Race Condition in push_zfs_keys Cache Access** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:66`) \u2014 The `push_zfs_keys` method contains a Time-of-Check-Time-of-Use (TOCTOU) race condition in the cache validation logic.\n- \ud83d\udd34 **TOCTOU Race Condition in pull_zfs_keys Cache Access** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:108`) \u2014 The `pull_zfs_keys` method has the same TOCTOU pattern as `push_zfs_keys`.\n- \u2026 and 17 more (see All Findings by Severity)\n\n**Files with findings:** `src/middlewared/middlewared/api/v26_0_0/pool.py`, `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py`, `src/middlewared/middlewared/api/v26_0_0/pool_scrub.py`, `src/middlewared/middlewared/plugins/failover.py`, `src/middlewared/middlewared/plugins/kmip/zfs_keys.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py`, `src/middlewared/middlewared/plugins/zfs/encryption.py`, `src/middlewared/middlewared/plugins/zfs/utils.py`\n\n
\nAll Findings by Severity\n\n#### \ud83d\udd34 Critical (8)\n\n- **Breaking Change: pbkdf2iters minimum and default increased from 350000 to 1300000** `src/middlewared/middlewared/api/v26_0_0/pool.py:139`\n- **Breaking Change: PoolDatasetChangeKeyOptions.pbkdf2iters minimum increased to 1300000** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:170`\n- **Failover unlock uses different lock namespace than user unlock - allows concurrent operations on same dataset** `src/middlewared/middlewared/plugins/failover.py:553`\n- **Breaking Change: PoolCreateTopologySpecialVdev now allows DRAID types** `src/middlewared/middlewared/api/v26_0_0/pool.py:180`\n- **PoolScan model lacks None/null support for required fields** `src/middlewared/middlewared/api/v26_0_0/pool_scrub.py:108`\n- **Inconsistent ZFSError comparison pattern may cause silent error handling failure** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:223`\n- **TOCTOU Race Condition in push_zfs_keys Cache Access** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:66`\n- **TOCTOU Race Condition in pull_zfs_keys Cache Access** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:108`\n\n#### \ud83d\udfe0 Important (17)\n\n- **ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException not caught by existing handlers** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:221`\n- **PoolEntry.scan type changed from dict to PoolScan model** `src/middlewared/middlewared/api/v26_0_0/pool.py:55`\n- **TOCTOU race condition in load_key() - key check and load are not atomic** `src/middlewared/middlewared/plugins/zfs/encryption.py:14`\n- **Pool name validation relaxed: removed whitespace restriction** `src/middlewared/middlewared/api/v26_0_0/pool.py:220`\n- **Inconsistent lock namespaces allow concurrent lock/unlock on same dataset** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:31`\n- **change_key and inherit_parent_encryption_properties can run concurrently on same dataset** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:118`\n- **Resource leak in hot code path - dataset lock checking** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:262`\n- **open_resource() utility lacks resource management documentation/context manager** `src/middlewared/middlewared/plugins/zfs/utils.py:123`\n- **PoolDatasetGetQuotaResult return type expanded** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:649`\n- **ZFS resource objects not explicitly cleaned up after encryption operations** `src/middlewared/middlewared/plugins/zfs/encryption.py:29`\n- **Error code mapping between py-libzfs and truenas_pylibzfs not verified** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:220`\n- **Database key sync silently removes keys on ANY ZFS error** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:200`\n- **PoolDatasetCreateArgs discriminator field may break clients** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:540`\n- **Unprotected Cache Access in initialize_zfs_keys** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:164`\n- **Broad exception handling masks non-crypto ZFS errors in check_key()** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:106`\n- **KMIP pull operation adds datasets to 'failed' list for ANY ZFS error** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:104`\n- **Async reset_zfs_key Called Without Cache Lock Protection** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:185`\n\n
\n\n
\nReview Process Details\n\n**Dimensions Analyzed (10):**\n\n- **Thread-Local Storage Contract Validation** \u2014 4 file(s)\n- **Exception Type Compatibility** \u2014 3 file(s)\n- **Error Code Mapping and ZFSError Handling** \u2014 2 file(s)\n- **Raw Key Hex Encoding Consistency** \u2014 3 file(s)\n- **Hot Code Path Concurrency Characteristics** \u2014 2 file(s)\n- **Process Pool Serialization Removal Impact** \u2014 3 file(s)\n- **KMIP In-Memory Key Cache Race Conditions** \u2014 1 file(s)\n- **Error Propagation in check_key()** \u2014 2 file(s)\n- **API Surface Changes** \u2014 2 file(s)\n- **Resource Cleanup and Error Recovery** \u2014 1 file(s)\n\n**Cross-Reference & Adversary Analysis:**\n\n- **8** cross-change interaction(s) detected\n- **20** finding(s) adversarially tested: 4 confirmed, 16 challenged\n\n
\n\n
\nPipeline Stats\n\n| Metric | Value |\n|--------|-------|\n| Duration | 3626.5s |\n| Agent invocations | 17 |\n| Coverage iterations | 0 |\n| Estimated cost | N/A (provider does not report cost) |\n| Budget exhausted | Yes (timeout: 3626s > 3600s limit) |\n| PR type | refactor |\n| Complexity | complex |\n\n
\n\nReview ID: `rev_0ba00e6d6ff2`", + "comments": [ + { + "body": "\ud83d\udd34 **[CRITICAL] Breaking Change: pbkdf2iters minimum and default increased from 350000 to 1300000**\n\nThe `PoolCreateEncryptionOptions.pbkdf2iters` field has breaking changes that affect API compatibility:\n\n1. **Default value changed**: `350000` \u2192 `1300000`\n2. **Minimum value changed**: `100000` \u2192 `1300000`\n3. **Impact**: Any API call providing a pbkdf2iters value between 100000 and 1299999 will now fail validation with a `validation_error`.\n\nWhile a `from_previous` migration method was added, it only handles data migration from previous versions and does NOT help with new API calls. Clients that were previously providing values like 350000 (the old default) will now receive validation errors.\n\nThis affects:\n- `pool.create` calls with custom encryption_options\n- Any client code that hardcoded the old default or minimum values\n- Backward compatibility for scripts using the old iteration counts\n\n---\n\n> v25_10_2: pbkdf2iters: int = Field(ge=100000, default=350000)\n> v26_0_0: pbkdf2iters: int = Field(ge=1300000, default=1300000)\n> \n> The from_previous method only handles migration:\n> ```python\n> @classmethod\n> def from_previous(cls, value):\n> value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n> return value\n> ```\n\n**\ud83d\udca1 Suggested Fix**\n\nOption 1: Keep minimum at 100000 but change default to 1300000 for new pools:\n```python\npbkdf2iters: int = Field(ge=100000, default=1300000)\n```\n\nOption 2: Document this breaking change explicitly in API release notes and notify client developers.\n\n---\n*`API v26_0_0 Breaking Changes Review` \u00b7 confidence 95%*", + "line": 139, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Inconsistent ZFSError comparison pattern may cause silent error handling failure**\n\nThe code at lines 223-228 uses a direct comparison pattern `e.code == ZFSError.EZFS_CRYPTOFAILED` which is inconsistent with other files in the codebase. Most other files use `ZFSError(e.code) == ZFSError.EZFS_*` to convert the integer code to an enum before comparison.\n\nIf `e.code` returns an integer and `ZFSError.EZFS_CRYPTOFAILED` is an enum member (not an IntEnum), this comparison will always return `False` even when the error code matches, causing the error handling logic to silently fail. The invalid key error will not be properly detected, and users will see generic error messages instead of 'Invalid Key'.\n\n**Inconsistent patterns found:**\n- `dataset_encryption_lock.py:224` uses: `e.code == ZFSError.EZFS_CRYPTOFAILED` (DIRECT)\n- `pool_operations.py:124` uses: `e.code == ZFSError.EZFS_NOENT` (DIRECT)\n- `pool_/info.py:111,168` uses: `e.code == ZFSError.EZFS_NOENT` (DIRECT)\n- `pool_/dataset.py:398` uses: `e.code == ZFSError.EZFS_EXISTS` (DIRECT)\n- `dataset_encryption_info.py:265,279` uses: `ZFSError(e.code) == ZFSError.EZFS_*` (CONVERT)\n- `zfs/query_impl.py:75` uses: `ZFSError(e.code) == ZFSError.EZFS_NOENT` (CONVERT)\n- `zfs/snapshot_*.py` files use: `ZFSError(e.code)` pattern (CONVERT)\n\n---\n\n> Code in dataset_encryption_lock.py:223-228:\n> ```python\n> except ZFSException as e:\n> if e.code == ZFSError.EZFS_CRYPTOFAILED:\n> failed[name]['error'] = 'Invalid Key'\n> else:\n> failed[name]['error'] = str(e)\n> ```\n> \n> Contrast with dataset_encryption_info.py:265:\n> ```python\n> except ZFSException as e:\n> if ZFSError(e.code) != ZFSError.EZFS_NOENT:\n> raise\n> ```\n\n**\ud83d\udca1 Suggested Fix**\n\nStandardize on the pattern `ZFSError(e.code) == ZFSError.EZFS_CRYPTOFAILED` for consistency and safety. This explicitly converts the integer code to an enum before comparison, ensuring correct behavior regardless of whether ZFSError is an IntEnum or a regular Enum. Alternatively, verify that truenas_pylibzfs.ZFSError is an IntEnum (which supports direct integer comparison), and if so, standardize on direct comparison for readability - but only if it's confirmed to be an IntEnum.\n\n---\n*`ZFSError Enum Mapping Verification` \u00b7 confidence 85%*", + "line": 223, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] TOCTOU Race Condition in push_zfs_keys Cache Access**\n\nThe `push_zfs_keys` method contains a Time-of-Check-Time-of-Use (TOCTOU) race condition in the cache validation logic. At lines 66-67, the code checks `ds['name'] in self.zfs_keys` and then immediately uses `self.zfs_keys[ds['name']]` in the `check_key()` call. Between these two operations, another thread could modify or delete the cache entry via `reset_zfs_key()`, `update_zfs_keys()`, or `clear_sync_pending_zfs_keys()`. With faster direct library calls, this race window is smaller but still exploitable under concurrent load. Additionally, at line 78, the cache is updated with `self.zfs_keys[ds['name']] = ds['encryption_key']` BEFORE the database is updated at line 93. If the `_register_secret_data()` call at line 86 fails, the cache holds a key that was never successfully registered with the KMIP server, leading to cache/database inconsistency.\n\n---\n\n> Step 1: Thread A checks `ds['name'] in self.zfs_keys` at line 66 (returns True).\n> Step 2: Thread B calls `reset_zfs_key(dataset=ds['name'])` which executes `self.zfs_keys.pop(dataset, None)` at line 186.\n> Step 3: Thread A attempts `check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])` at line 67.\n> Step 4: KeyError is raised because Thread B removed the entry, OR a stale key is validated that no longer matches the KMIP server state.\n\n**\ud83d\udca1 Suggested Fix**\n\nUse a threading.Lock to protect all `self.zfs_keys` access. For the compound check-then-use pattern, lock the entire block. Additionally, defer cache updates until after successful KMIP operations and database persistence - only update the cache after line 93 confirms the database update succeeded.\n\n---\n*`KMIP Key Cache Race Conditions` \u00b7 confidence 95%*", + "line": 66, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] TOCTOU Race Condition in pull_zfs_keys Cache Access**\n\nThe `pull_zfs_keys` method has the same TOCTOU pattern as `push_zfs_keys`. At lines 108-109, the code checks membership in `self.zfs_keys` and then validates the key with `check_key()`. However, at line 111, it retrieves `self.zfs_keys[ds['name']]` again. Between the validation at line 109 and the retrieval at line 111, another thread could modify the cache entry. This means the key being assigned to the `key` variable might differ from the key that was validated, potentially assigning an incorrect or stale key to the database update at line 120.\n\n---\n\n> Step 1: Thread A validates `check_key(tls, ds['name'], key=self.zfs_keys[ds['name'])` at line 109 (returns True).\n> Step 2: Thread B calls `push_zfs_keys()` which updates `self.zfs_keys[ds['name']]` at line 78 with a different key value.\n> Step 3: Thread A executes `key = self.zfs_keys[ds['name']]` at line 111, retrieving the NEW key that was NOT validated.\n> Step 4: Database is updated with unvalidated key at line 120, potentially corrupting encryption state.\n\n**\ud83d\udca1 Suggested Fix**\n\nStore the validated key in a local variable immediately after validation to ensure consistency. Use pattern: `cached_key = self.zfs_keys.get(ds['name']); if cached_key and check_key(tls, ds['name'], key=cached_key): key = cached_key`. Protect all cache access with a threading.Lock.\n\n---\n*`KMIP Key Cache Race Conditions` \u00b7 confidence 95%*", + "line": 108, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException not caught by existing handlers**\n\nThe `load_key()` function in `encryption.py` raises custom exceptions `ZFSKeyAlreadyLoadedException` (line 33) and `ZFSNotEncryptedException` (line 31) which are plain Python `Exception` subclasses, NOT `truenas_pylibzfs.ZFSException`.\n\n**The problem:** In `dataset_encryption_lock.py:221-231`, the code specifically catches `ZFSException` to handle crypto failures. However, the new custom exceptions will NOT match this handler and fall through to the generic `except Exception` handler at line 229.\n\n**Impact:**\n- `ZFSKeyAlreadyLoadedException`: May indicate a race condition or partial success, but is treated as a generic failure\n- `ZFSNotEncryptedException`: Indicates the dataset is not encrypted (configuration error), but gets recorded as a generic error string without context\n\n---\n\n> Step 1: `load_key()` is called at line 222.\n> Step 2: If key already loaded, `encryption.py:33` raises `ZFSKeyAlreadyLoadedException` (plain Exception subclass).\n> Step 3: The exception does NOT match `ZFSException` at line 223.\n> Step 4: It falls to line 229 `except Exception as e`, recording `failed[name]['error'] = str(e)`.\n> Step 5: The error is treated as a failure even though the key is actually already loaded.\n\n**\ud83d\udca1 Suggested Fix**\n\nImport and handle the new exception types explicitly:\n1. Import `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` from `middlewared.plugins.zfs.exceptions`\n2. Add specific handlers before the generic Exception handler:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n\ntry:\n load_key(tls, name, key=datasets[name]['key'])\nexcept ZFSKeyAlreadyLoadedException:\n # Key already loaded - treat as success or log informational message\n unlocked.append(name)\n continue\nexcept ZFSNotEncryptedException:\n failed[name]['error'] = 'Dataset is not encrypted'\n continue\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n failed[name]['error'] = 'Invalid Key'\n else:\n failed[name]['error'] = str(e)\n continue\nexcept Exception as e:\n failed[name]['error'] = str(e)\n continue\n```\n\n---\n*`Exception Type Changes` \u00b7 confidence 90%*", + "line": 221, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] TOCTOU race condition in load_key() - key check and load are not atomic**\n\nThe `load_key()` function in `encryption.py` has a classic Time-Of-Check-Time-Of-Use (TOCTOU) race condition. It first checks if the key is already loaded (line 32), then loads it (line 34). These are two separate operations, not atomic.\n\n**Race scenario**:\n1. Thread A calls `load_key('tank/data')`\n2. Thread A checks `crypto.info().key_is_loaded` \u2192 returns False\n3. Context switch to Thread B\n4. Thread B calls `load_key('tank/data')`\n5. Thread B checks `crypto.info().key_is_loaded` \u2192 returns False\n6. Thread B calls `crypto.load_key()` \u2192 succeeds\n7. Context switch back to Thread A\n8. Thread A calls `crypto.load_key()` \u2192 may fail or behave unexpectedly\n\n**Process pool context**: When using the process pool, only one operation could run at a time, preventing this race. With direct library calls and `@pass_thread_local_storage`, multiple threads can execute this code concurrently.\n\n**Impact**: The second load_key call will raise `ZFSKeyAlreadyLoadedException`. While this prevents data corruption, it causes unnecessary failures that didn't occur with the process pool's implicit serialization.\n\n---\n\n> File: encryption.py:32-34 - The check `if crypto.info().key_is_loaded:` and `crypto.load_key(**kwargs)` are separate non-atomic operations.\n> File: dataset_encryption_lock.py:221-222 - `load_key(tls, name, key=datasets[name]['key'])` is called in a loop without dataset-level locking.\n\n**\ud83d\udca1 Suggested Fix**\n\nOption 1: Remove the pre-check and handle 'already loaded' as a non-error case (idempotent behavior).\nOption 2: Add a synchronization primitive (threading.Lock) per dataset to serialize load_key operations on the same dataset.\nOption 3: Rely on higher-level locks (job locks) but ensure they cover all code paths consistently.\n\n---\n*`Process Pool Removal Impact on ZFS Encryption Operations` \u00b7 confidence 90%*", + "line": 14, + "path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] change_key and inherit_parent_encryption_properties can run concurrently on same dataset**\n\nThe `change_key` operation uses lock `f'dataset_change_key_{args[0]}'` (line 120), while `inherit_parent_encryption_properties` has NO job decorator and thus NO lock (lines 217-218). This allows:\n\n**Race scenario**:\n1. User calls `pool.dataset.change_key('tank/data')` - acquires `'dataset_change_key_tank/data'`\n2. Concurrently, user calls `pool.dataset.inherit_parent_encryption_properties('tank/data')` - no lock required\n3. Both operations run concurrently on the same dataset\n4. Both call `change_key()` and `change_encryption_root()` respectively on the same dataset\n\n**ZFS operation conflict**:\n- `change_key()` calls `crypto.change_key()` in libzfs\n- `change_encryption_root()` calls `crypto.inherit_key()` in libzfs\n- These both modify the dataset's encryption properties and should not run concurrently\n\n**Process pool context**: Previously, the process pool would serialize these operations even without explicit locks. With direct library calls, there's no serialization.\n\n---\n\n> File: dataset_encryption_operations.py:120 - change_key uses `@job(lock=lambda args: f'dataset_change_key_{args[0]}')`.\n> File: dataset_encryption_operations.py:217-218 - inherit_parent_encryption_properties has no @job decorator.\n> File: encryption.py:62-90 and 93-106 - Both operations modify encryption state via libzfs.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a job lock to `inherit_parent_encryption_properties` using the same namespace as `change_key`, or use a unified encryption operation lock per dataset. For example:\n```python\n@job(lock=lambda args: f'dataset_encryption_{args[0]}')\n```\nThis would serialize all encryption-modifying operations on the same dataset.\n\n---\n*`Process Pool Removal Impact on ZFS Encryption Operations` \u00b7 confidence 85%*", + "line": 118, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] ZFS resource objects not explicitly cleaned up after encryption operations**\n\nThe `load_key()`, `check_key()`, `change_key()`, and `change_encryption_root()` functions in `encryption.py` open ZFS resources via `open_resource()` but never explicitly release them.\n\n**The Problem:**\n- `open_resource(tls, dataset)` returns a ZFS resource object wrapping a C library handle\n- `rsrc.crypto()` returns a cryptography object with additional native resources\n- Neither object has explicit cleanup (no `.close()`, no context manager, no `try/finally`)\n- In the previous process pool architecture, this was acceptable because the entire process would exit, and the OS would reclaim all resources\n- With direct library calls in long-running threads, these objects persist until Python's garbage collector runs, which may not happen promptly enough\n\n**Resource Leak Scenario:**\n1. A long-running middleware thread calls `load_key()` repeatedly for many datasets\n2. Each call creates native ZFS handles that are not immediately released\n3. ZFS has internal limits on open handles per pool/process\n4. Eventually, operations may fail with `ENOMEM` or `EMFILE` errors\n\n**Recommendation:**\nWrap ZFS resource operations in context managers or use `try/finally` blocks to ensure resources are released immediately after use. Consider implementing a context manager in `open_resource()` or documenting that callers must explicitly close resources.\n\n---\n\n> Step 1: `load_key()` calls `open_resource(tls, dataset)` at line 29, returning a resource handle\n> Step 2: Line 30 calls `rsrc.crypto()`, returning a crypto object\n> Step 3: Lines 31-34 perform operations and may raise exceptions\n> Step 4: No cleanup code exists - both objects rely on Python GC\n> \n> Same pattern in:\n> - `check_key()` (lines 56-59)\n> - `change_key()` (lines 86-90)\n> - `change_encryption_root()` (lines 103-106)\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider modifying the code to explicitly release resources:\n\n```python\ndef load_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> None:\n if len(kwargs) > 1:\n raise ValueError('Cannot specify both key and key location')\n rsrc = open_resource(tls, dataset)\n try:\n if (crypto := rsrc.crypto()) is None:\n raise ZFSNotEncryptedException(dataset)\n if crypto.info().key_is_loaded:\n raise ZFSKeyAlreadyLoadedException(dataset)\n crypto.load_key(**kwargs)\n finally:\n # Explicitly release the resource\n del rsrc # Or rsrc.close() if the library supports it\n```\n\nAlternatively, wrap `open_resource()` in a context manager:\n\n```python\nfrom contextlib import contextmanager\n\n@contextmanager\ndef zfs_resource(tls, path):\n rsrc = open_resource(tls, path)\n try:\n yield rsrc\n finally:\n # Cleanup code here\n pass\n\n# Usage:\nwith zfs_resource(tls, dataset) as rsrc:\n crypto = rsrc.crypto()\n # ... operations\n```\n\n---\n*`Resource Cleanup and Error Recovery` \u00b7 confidence 75%*", + "line": 29, + "path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Error code mapping between py-libzfs and truenas_pylibzfs not verified**\n\nThe code checks for `ZFSError.EZFS_CRYPTOFAILED` when a key loading operation fails. However, there is no verification that this error code has the same numeric value between the old `py-libzfs` library and the new `truenas_pylibzfs` library.\n\nIf the numeric values differ between libraries:\n1. Error handling logic will silently fail to catch the expected errors\n2. Users will receive generic error messages instead of specific 'Invalid Key' messages\n3. The unlock operation may report success when it actually failed due to wrong key\n\nAdditionally, if truenas_pylibzfs introduces new error codes that have no py-libzfs equivalent, those error conditions won't be handled.\n\n---\n\n> The code imports ZFSError from truenas_pylibzfs (line 9):\n> ```python\n> from truenas_pylibzfs import ZFSError, ZFSException\n> ```\n> \n> But there's no verification that these error codes match the expected values from the old library. The code at line 224 compares `e.code` directly to `ZFSError.EZFS_CRYPTOFAILED` without knowing if the numeric values are consistent.\n\n**\ud83d\udca1 Suggested Fix**\n\nVerify that EZFS_CRYPTOFAILED and other error codes have the same numeric values between py-libzfs and truenas_pylibzfs. Add a test or validation script that compares the enum values from both libraries. If values differ, create a mapping layer to translate between them.\n\n---\n*`ZFSError Enum Mapping Verification` \u00b7 confidence 75%*", + "line": 220, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Database key sync silently removes keys on ANY ZFS error**\n\nIn `sync_db_keys()`, the `check_key()` call at line 201 is wrapped in a broad `except Exception:` that sets `should_remove = True`. This means database encryption keys will be removed for ANY error - not just invalid keys, but also permission errors, dataset not found, ZFS operational failures, etc.\n\n**Risk scenario:**\n1. Database contains encryption key for dataset 'tank/secure'\n2. ZFS pool becomes temporarily unavailable or permission issue occurs\n3. `check_key()` raises an error (not EZFS_CRYPTOFAILED)\n4. Exception handler catches it and sets `should_remove = True`\n5. Key is removed from database\n6. User can no longer unlock the dataset even when the underlying issue is resolved\n\n**Data loss potential:** This could lead to permanent data loss if the only copy of the encryption key was in the database and it gets erroneously removed due to a transient ZFS error.\n\n---\n\n> Step 1: At dataset_encryption_info.py:200-206:\n> ```python\n> try:\n> should_remove = not check_key(tls, ds_name, key=key)\n> except Exception:\n> should_remove = True\n> \n> if should_remove:\n> to_remove.append(ds_name)\n> ```\n> \n> Step 2: Any exception (permission denied, dataset not found, etc.) results in the key being removed from the database at line 212:\n> `self.middleware.call_sync('pool.dataset.delete_encrypted_datasets_from_db', [['name', 'in', to_remove]])`\n\n**\ud83d\udca1 Suggested Fix**\n\nImplement proper error discrimination:\n1. Only remove keys from database when `check_key()` returns False (EZFS_CRYPTOFAILED)\n2. For other ZFS exceptions, log the error but preserve the database key\n3. Consider adding retry logic or a 'force' flag for maintenance operations\n\nRefactor lines 200-206:\n```python\ntry:\n key_valid = check_key(tls, ds_name, key=key)\nexcept ZFSNotEncryptedException:\n should_remove = True # Dataset not encrypted, remove stale key\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n should_remove = True # Wrong key\n else:\n self.logger.error('ZFS error checking key for %s: %s', ds_name, e)\n continue # Preserve key on operational errors\nelse:\n should_remove = not key_valid\n```\n\n---\n*`check_key Error Propagation Verification` \u00b7 confidence 95%*", + "line": 200, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Broad exception handling masks non-crypto ZFS errors in check_key()**\n\nThe `check_key()` function is documented to return `False` only for `EZFS_CRYPTOFAILED` (wrong key) while raising exceptions for other ZFS errors. However, the caller at line 106-109 uses a broad `except Exception:` handler that treats ALL errors as invalid keys. This masks serious issues like permission errors (EACCES), malformed datasets, or ZFS operational failures that should be propagated to the user.\n\n**The contract vs. implementation mismatch:**\n- `check_key()` docstring (encryption.py:41-43): Raises for errors *other than* EZFS_CRYPTOFAILED\n- Actual caller behavior: Catches ALL exceptions and treats them as `valid_key = False`\n\n**Impact:** Users will see 'Provided key is invalid' when the actual error could be:\n- Permission denied on key file or dataset\n- Dataset not found\n- ZFS pool offline/unavailable\n- Malformed key format\n\nThis violates the principle of least surprise and makes debugging encryption issues significantly harder.\n\n---\n\n> Step 1: `check_key()` docstring at encryption.py:41-43 states:\n> 'Raises ZFSNotEncryptedException if the dataset is not encrypted or if the ZFS operation fails for a reason other than a wrong key (EZFS_CRYPTOFAILED returns False rather than raising)'\n> \n> Step 2: Caller at dataset_encryption_info.py:106-109:\n> ```python\n> try:\n> valid_key = check_key(tls, name, key=ds_key)\n> except Exception:\n> valid_key = False\n> ```\n> \n> Step 3: The broad `except Exception:` catches ALL errors including permission errors, dataset not found, etc., treating them all as 'invalid key'.\n\n**\ud83d\udca1 Suggested Fix**\n\nReplace the broad `except Exception:` with specific exception handling:\n1. Catch `ZFSException` and check `e.code == ZFSError.EZFS_CRYPTOFAILED` \u2192 set `valid_key = False`\n2. Catch `ZFSNotEncryptedException` \u2192 set appropriate error message\n3. Let other ZFS errors propagate or catch and re-raise with context\n\nThis preserves the intended contract where wrong keys return False but operational errors are surfaced to users.\n\n---\n*`check_key Error Propagation Verification` \u00b7 confidence 90%*", + "line": 106, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] KMIP pull operation adds datasets to 'failed' list for ANY ZFS error**\n\nIn `pull_zfs_keys()` at lines 104-118, the `check_key()` call is used to determine whether to use the cached key or retrieve from KMIP. The broad exception handling at line 117 adds the dataset to the `failed` list for ANY error, including:\n- Permission errors (should retry, not fail)\n- Dataset temporarily unavailable (should retry, not fail)\n- Malformed key format (could be a configuration issue)\n\n**The problem:** The dataset gets added to `failed` but the error is only logged at debug level. There's no way for administrators to distinguish between 'key was invalid' vs 'ZFS operation failed'.\n\n---\n\n> Step 1: At kmip/zfs_keys.py:104-118:\n> ```python\n> try:\n> if ds['encryption_key']:\n> key = ds['encryption_key']\n> elif (\n> ds['name'] in self.zfs_keys\n> and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n> ):\n> key = self.zfs_keys[ds['name']]\n> elif connection_successful:\n> with self._connection(...) as conn:\n> key = self._retrieve_secret_data(ds['kmip_uid'], conn)\n> else:\n> raise Exception('Failed to sync dataset')\n> except Exception:\n> failed.append(ds['name'])\n> ```\n> \n> Step 2: Any exception from check_key() (not just EZFS_CRYPTOFAILED) causes the dataset to be added to the failed list.\n\n**\ud83d\udca1 Suggested Fix**\n\nImplement granular error handling to distinguish key validation failures from operational errors:\n1. `EZFS_CRYPTOFAILED` (wrong key) \u2192 add to failed list\n2. `ZFSNotEncryptedException` \u2192 log warning, don't add to failed\n3. Other ZFS errors \u2192 log error with full traceback, add to failed with specific error message\n4. Consider different retry/backoff strategies for transient vs permanent errors\n\n---\n*`check_key Error Propagation Verification` \u00b7 confidence 90%*", + "line": 104, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "side": "RIGHT" + } + ], + "event": "REQUEST_CHANGES" + }, + "review_id": "rev_0ba00e6d6ff2", + "summary": { + "adversary_challenged": 16, + "adversary_confirmed": 4, + "ai_generated_confidence": 0, + "budget_exhausted": true, + "by_severity": { + "critical": 8, + "important": 17 + }, + "cost_usd": 0, + "coverage_iterations": 0, + "cross_ref_interactions": 8, + "dimensions_run": 10, + "duration_seconds": 3626.527, + "total_findings": 25 + } + }, + "started_at": "2026-03-10T07:08:03Z", + "completed_at": "2026-03-10T08:10:49Z", + "duration_ms": 3765986, + "webhook_registered": false +} diff --git a/src/pr_af/app.py b/src/pr_af/app.py index 61dfa48..9ee9c63 100644 --- a/src/pr_af/app.py +++ b/src/pr_af/app.py @@ -61,9 +61,9 @@ def _extract_pr_number(pr_url: str) -> int | None: def _checkout_pr_branch(target_dir: str, pr_number: int) -> None: git_env = {**os.environ, "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo"} subprocess.run( - ["git", "-C", target_dir, "fetch", "origin", f"pull/{pr_number}/head:pr-review"], + ["git", "-C", target_dir, "fetch", "--depth", "1", "origin", f"pull/{pr_number}/head:pr-review"], env=git_env, - timeout=120, + timeout=300, capture_output=True, ) subprocess.run( @@ -98,18 +98,35 @@ def _resolve_repo(repo_path: str | None, pr_url: str | None) -> str: if gh_token and clone_url.startswith("https://github.com/"): clone_url = clone_url.replace("https://github.com/", f"https://{gh_token}@github.com/") + git_env = {**os.environ, "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo"} + clone_timeout = 600 # Large repos (e.g. TrueNAS middleware) need time + if os.path.isdir(target_dir) and os.path.isdir(os.path.join(target_dir, ".git")): subprocess.run( ["git", "-C", target_dir, "fetch", "--all"], - env={**os.environ, "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo"}, - timeout=60, + env=git_env, + timeout=clone_timeout, capture_output=True, ) else: + # Shallow clone: only need enough history to read files, not full history + clone_cmd = ["git", "clone", "--depth", "1", "--no-tags", clone_url, target_dir] + # If we know the PR number, skip default branch checkout — we'll fetch the PR ref + if pr_number: + clone_cmd = [ + "git", + "clone", + "--depth", + "1", + "--no-tags", + "--no-checkout", + clone_url, + target_dir, + ] result = subprocess.run( - ["git", "clone", clone_url, target_dir], - env={**os.environ, "GIT_TERMINAL_PROMPT": "0", "GIT_ASKPASS": "echo"}, - timeout=120, + clone_cmd, + env=git_env, + timeout=clone_timeout, capture_output=True, text=True, ) diff --git a/src/pr_af/orchestrator.py b/src/pr_af/orchestrator.py index c537e3f..a4c7c0d 100644 --- a/src/pr_af/orchestrator.py +++ b/src/pr_af/orchestrator.py @@ -766,10 +766,13 @@ def _build_gap_dimensions( break cluster = candidate_clusters[idx] prompt = ( - "Coverage gap follow-up review. " - f"Focus area: {gap}. " - f"Inspect files: {', '.join(cluster.files)}. " - "Return only concrete findings with file path, line range, and confidence." + f"Coverage gap review — this area was missed in the initial review pass.\n\n" + f"Gap identified: {gap}\n\n" + f"Inspect the target files with the same depth and rigor as a primary review. " + f"Look for bugs, logic errors, security issues, and behavioral changes. " + f"Pay special attention to how this code interacts with the changes that were " + f"already reviewed in other files — the gap exists because this cluster's " + f"relationship to the main change wasn't obvious at planning time." ) dimensions.append( ReviewDimension( diff --git a/src/pr_af/reasoners/harnesses.py b/src/pr_af/reasoners/harnesses.py index 2fe54dd..26bfb84 100644 --- a/src/pr_af/reasoners/harnesses.py +++ b/src/pr_af/reasoners/harnesses.py @@ -250,9 +250,13 @@ async def intake_phase(pr_data: dict, depth: str = "standard") -> dict: default=str, ) fallback_result = await router.app.harness( - f"Perform deep intake classification for this pull request. " - f"Infer PR type, complexity, touched areas, risk signals, AI-generation confidence, " - f"and an accurate short PR summary for downstream reviewers.\n\n{fallback_input}", + f"Classify this pull request for a multi-agent review pipeline. " + f"Downstream reviewers will rely on your classification to decide review depth " + f"and focus areas, so accuracy matters more than speed.\n\n" + f"Determine: PR type (feature/bugfix/refactor/docs/config/dependency/test), " + f"complexity (trivial/standard/complex/massive), areas touched, risk signals, " + f"AI-generation confidence, and write a technical PR summary that captures the " + f"actual substance of the change (not just the PR title restated).\n\n{fallback_input}", schema=IntakeResult, ) return fallback_result.parsed.model_dump() if fallback_result.parsed else {} @@ -293,8 +297,27 @@ async def anatomy_phase(pr_data: dict, intake: dict, repo_path: str = "") -> dic default=str, ) semantic = await router.app.harness( - f"Analyze the pull request semantically. Explain what changed and why, identify risk surfaces, " - f"call out unrelated changes, and detect intent gaps between PR description and actual diff.\n\n{context}", + f"You are a senior engineer performing structural analysis of a pull request before " + f"review dimensions are assigned. Your job is NOT to find bugs yet — it is to deeply " + f"understand WHAT changed, WHY it changed, and WHERE the risk surfaces are.\n\n" + f"Think like an architect reviewing a change set:\n\n" + f"1. **PR Narrative**: Write a clear technical narrative of what this PR actually does " + f"(not what the PR description says — what the CODE says). Trace the change from " + f"entry point to effect. If the PR replaces one mechanism with another, describe both " + f"the old and new mechanisms and where they differ.\n\n" + f"2. **Risk Surfaces**: Identify areas where this change could break things that are " + f"NOT obvious from the diff alone. Think about:\n" + f" - Callers of changed functions/methods that might pass arguments differently\n" + f" - Implicit contracts (ordering, timing, state) that the change might violate\n" + f" - Error paths — if the old code handled errors one way, does the new code preserve that?\n" + f" - Concurrency: thread safety, shared state, decorator-injected arguments\n" + f" - API boundaries: do callers still get what they expect?\n" + f" - Configuration/defaults that changed (especially security-sensitive ones)\n\n" + f"3. **Unrelated Changes**: Flag anything that doesn't belong in this PR's stated intent.\n\n" + f"4. **Intent Gaps**: Where does the code diverge from what the PR description promises? " + f"Where is the PR description silent about something the code actually does?\n\n" + f"Be specific. Name files, functions, and line ranges. A vague risk surface is useless.\n\n" + f"{context}", schema=_AnatomySemanticResult, cwd=repo_path or None, ) @@ -342,10 +365,63 @@ async def planning_phase(intake: dict, anatomy: dict, depth: str = "standard", h default=str, ) plan_result = await router.app.harness( - f"Create a dynamic review plan for this PR. Do not use fixed reviewer templates. " - f"Generate review dimensions based on intake and anatomy, with clear target files and context files. " - f"Each dimension must include a concrete review_prompt that another reviewer can execute directly. " - f"Balance depth with the requested review depth and prioritize highest-risk dimensions first.\n\n{context}", + f"You are a principal engineer designing a review strategy for a pull request. " + f"Your job is to decompose this PR into review DIMENSIONS — each one a focused, " + f"independently-executable investigation that another senior engineer will carry out.\n\n" + f"DO NOT use generic templates like 'security review' or 'performance review'. " + f"Every dimension must be SPECIFIC to what THIS PR actually changes.\n\n" + f"## How to Think About Dimensions\n\n" + f"A dimension is NOT 'check file X for bugs'. A dimension is a specific QUESTION about " + f"the change that requires reading code to answer. Good dimensions:\n\n" + f"- 'Does the migration from library A to library B preserve error semantics?' " + f"(target: the wrapper functions; context: the callers)\n" + f"- 'Are all callers of method X updated to match its new signature?' " + f"(target: the callers; context: the method definition)\n" + f"- 'Does the new default value for config Y break existing deployments?' " + f"(target: where Y is consumed; context: where Y is defined and documented)\n" + f"- 'Can the refactored data flow produce states that the old flow could not?' " + f"(target: state transitions; context: consumers of that state)\n\n" + f"Bad dimensions: 'Review security', 'Check for bugs', 'Validate tests'\n\n" + f"## Dimension Categories to Consider\n\n" + f"Not all will apply — generate ONLY what matters for THIS PR:\n\n" + f"1. **Behavioral Equivalence**: When code is refactored or a dependency is swapped, " + f"does the new code behave identically in all paths? Edge cases, error handling, " + f"return types, side effects, timing.\n\n" + f"2. **Contract Preservation**: Are function signatures, decorator behaviors, " + f"serialization formats, and API responses preserved? When a decorator adds an " + f"implicit parameter, are all call sites (direct AND indirect) updated?\n\n" + f"3. **Cross-Boundary Consistency**: Changes in module A may violate assumptions " + f"in module B. Look for shared types, constants, configs, or patterns that appear " + f"in both changed and unchanged files.\n\n" + f"4. **Error Propagation & Recovery**: Follow every error path. Does the new code " + f"catch the same exceptions? Raise the same error types? Preserve error codes? " + f"Avoid swallowing errors that the old code surfaced?\n\n" + f"5. **State & Concurrency**: Thread-local storage, shared handles, connection " + f"lifecycle, resource cleanup. Does the change introduce shared mutable state, " + f"or change who owns a resource?\n\n" + f"6. **Data Integrity & Migration**: Schema changes, default value changes, " + f"format changes. Can old data be read by new code? Can new data be read by " + f"rollback code?\n\n" + f"7. **Architectural Coherence**: Does this change follow or violate the codebase's " + f"established patterns? Does it introduce a new pattern where one already exists? " + f"Does it create technical debt or resolve it?\n\n" + f"## Review Prompt Craft\n\n" + f"Each dimension's `review_prompt` will be given to another engineer who will read " + f"the actual code. Make it a COMPLETE briefing:\n" + f"- State exactly what to investigate\n" + f"- Explain what 'correct' looks like\n" + f"- Point out what subtle failures would look like\n" + f"- Mention specific functions, classes, or patterns to trace\n\n" + f"## Cross-Reference Hints\n\n" + f"Identify specific pairs or groups of findings that could interact. " + f"Example: 'If dimension A finds that error types changed, AND dimension B finds " + f"callers that catch specific error types, those interact.'\n\n" + f"## Output Requirements\n\n" + f"- Prioritize dimensions by risk (highest first)\n" + f"- Each dimension has: target_files (to inspect) and context_files (for reference)\n" + f"- Depth '{depth}' means: quick=2-3 dimensions, standard=3-5, deep=5-8, thorough=6-10\n" + f"- If the PR has a narrow scope, fewer dimensions is BETTER than padding with fluff\n\n" + f"{context}", schema=ReviewPlan, ) return plan_result.parsed.model_dump() if plan_result.parsed else {"dimensions": [], "cross_ref_hints": []} @@ -383,28 +459,60 @@ async def review_dimension( ) prompt = ( - f"Execute the following review dimension.\n\n" - f"Review prompt: {review_prompt}\n\n" - f"Target files: {', '.join(target_files)}\n" - f"Context files: {', '.join(ctx_files) if ctx_files else 'none'}\n\n" - f"Inspect target files deeply, use context files as needed, and return structured findings.\n\n" - f"SEVERITY CALIBRATION (use the full range — do NOT default everything to nitpick):\n" - f"- critical: Bugs, data loss, security holes, crashes, silent corruption. " - f"Would block merge in any serious project.\n" - f"- important: Logic errors, missing validation, poor error handling, performance traps, " - f"API contract violations. Should be fixed before merge.\n" - f"- suggestion: Design improvements, better abstractions, cleaner patterns, " - f"edge cases worth handling. Recommended but not blocking.\n" - f"- nitpick: Style, naming, minor readability tweaks. Truly cosmetic only.\n\n" - f"A well-calibrated review of real code changes typically produces a MIX of severities. " - f"If all your findings are the same severity, recalibrate.\n\n" - f"FORMATTING REQUIREMENTS for finding fields:\n" - f"- body: Use GitHub Markdown. Bold key terms, use inline `code` for identifiers, " - f"use code blocks with language hints for code snippets.\n" - f"- evidence: Quote the specific code or behavior that supports your finding. " - f"Be precise — include function names, variable names, line references.\n" - f"- suggestion: Write a concise description of the recommended fix. " - f"Describe WHAT to change and WHY, as if writing a code comment for a colleague." + f"You are a senior engineer performing a focused code review. You have been assigned " + f"a specific review dimension with a clear investigation question.\n\n" + f"## Your Assignment\n\n" + f"{review_prompt}\n\n" + f"**Target files** (read and analyze these): {', '.join(target_files)}\n" + f"**Context files** (reference as needed): {', '.join(ctx_files) if ctx_files else 'none'}\n\n" + f"## How to Review\n\n" + f"Do NOT just scan for surface-level issues. Think deeply about what this code DOES:\n\n" + f"1. **Read the target files thoroughly.** Understand the control flow, data flow, " + f"and error paths. Pay attention to what happens at boundaries — function entry/exit, " + f"exception handlers, early returns, decorator effects.\n\n" + f"2. **Trace implications.** If a function signature changed, who calls it? " + f"If a default value changed, where is it consumed? If an import was added or removed, " + f"what depended on it? Read context files to verify.\n\n" + f"3. **Check behavioral equivalence.** If code was refactored or a library was swapped, " + f"does the new version handle ALL the same cases? Edge cases matter: empty inputs, " + f"None values, concurrent access, error conditions, type mismatches.\n\n" + f"4. **Verify contracts.** Are return types preserved? Are exception types consistent? " + f"Do decorators inject parameters that callers might not account for? " + f"Are there implicit ordering dependencies?\n\n" + f"5. **Think about what's NOT in the diff.** The most dangerous bugs are in code " + f"that WASN'T changed but SHOULD have been. If a method's signature changed, " + f"every caller needs updating. If an enum added a variant, every switch/match " + f"needs the new case.\n\n" + f"## Severity Calibration\n\n" + f"Use the FULL severity range. A well-calibrated review has a MIX:\n\n" + f"- **critical**: Runtime crashes, data corruption, security vulnerabilities, " + f"silent logic errors that produce wrong results. The code WILL fail in production. " + f"You must be able to describe the EXACT failure scenario — 'X calls Y with Z, " + f"which causes W'. Vague concerns are not critical.\n" + f"- **important**: Missing error handling, validation gaps, API contract violations, " + f"race conditions under realistic load, performance traps with specific data sizes. " + f"The code CAN fail under known conditions.\n" + f"- **suggestion**: Better design patterns, improved abstractions, edge cases worth " + f"handling, test coverage gaps for specific scenarios. The code works but could be " + f"more robust.\n" + f"- **nitpick**: Naming, style, readability, documentation. Truly cosmetic.\n\n" + f"If you're unsure whether something is critical or important, provide your reasoning " + f"in the `body` field and let the confidence score reflect your uncertainty.\n\n" + f"## Output Quality\n\n" + f"For each finding, use proper GitHub Markdown:\n" + f"- **body**: Explain the issue clearly. Use `inline code` for identifiers. " + f"Use code blocks with language hints for snippets. Bold key terms. " + f"Explain WHY this is a problem, not just WHAT is wrong.\n" + f"- **evidence**: Quote the EXACT code or trace the EXACT call path that demonstrates " + f"the issue. Include function names, parameter bindings, and return values. " + f"'Step 1: X calls Y with arg=Z. Step 2: Y binds Z to parameter W. Step 3: W.foo() " + f"fails because Z is a list, not a TLS object.'\n" + f"- **suggestion**: Describe the fix concisely. What to change, where, and why. " + f"If there are multiple valid approaches, mention the tradeoffs.\n" + f"- **file_path**: Full path from the repository root.\n" + f"- **line_start**: The specific line where the issue manifests. Be precise.\n\n" + f"Do NOT produce findings you aren't confident about just to fill a quota. " + f"Three well-evidenced findings are worth more than ten vague ones." f"{spawn_instruction}" ) result = await router.app.harness( @@ -454,9 +562,26 @@ async def cross_ref_phase(findings: list[dict], cross_ref_hints: list[str] | Non default=str, ) result = await router.app.harness( - f"Analyze interactions across findings from different review dimensions. " - f"Identify compound risks, assumption violations, and consistency gaps.\n\n" - f"Findings:\n{findings_summary}\n\nHints: {hints if hints else 'none'}", + f"You are analyzing the INTERACTIONS between findings from different review dimensions. " + f"Individual reviewers examined separate aspects of the PR. Your job is to find where " + f"their findings COMBINE to create risks that neither reviewer saw alone.\n\n" + f"## What to Look For\n\n" + f"1. **Compound Failures**: Finding A says 'function X changed its error type' and " + f"Finding B says 'caller Y catches the old error type' → together, errors are silently " + f"swallowed.\n\n" + f"2. **Contradictory Assumptions**: One reviewer assumes a lock is held, another's " + f"finding shows the lock was removed. One assumes a value is non-null, another's " + f"finding shows it can be null now.\n\n" + f"3. **Cascade Effects**: A 'suggestion'-level finding in module A becomes 'critical' " + f"when combined with an 'important' finding in module B, because together they create " + f"a data corruption path.\n\n" + f"4. **Consistency Gaps**: One part of the codebase was updated to a new pattern, " + f"but another part (found by a different reviewer) still uses the old pattern.\n\n" + f"5. **Hidden Dependencies**: Findings in separate files that share an implicit " + f"contract (same config key, same database table, same API response shape).\n\n" + f"Only report interactions you can TRACE through specific findings. " + f"Do not speculate about interactions that 'might' exist.\n\n" + f"Findings:\n{findings_summary}\n\nReview hints: {hints if hints else 'none'}", schema=_CrossRefResult, ) parsed = result.parsed if result.parsed else _CrossRefResult() @@ -486,9 +611,32 @@ async def adversary_phase(findings: list[dict], ai_generated_confidence: float = default=str, ) result = await router.app.harness( - f"Challenge each finding adversarially. Look for false positives, over-claimed severity, " - f"and hidden traps that reviewers may have missed.\n\n" - f"Skepticism mode: {skepticism}\nAI-generated confidence: {ai_generated_confidence}\n\n" + f"You are the adversarial reviewer — your job is to CHALLENGE every finding and " + f"determine whether it's real or a false positive. You are skeptical by default.\n\n" + f"## For Each Finding, Determine:\n\n" + f"1. **Is the failure scenario actually reachable?** Trace the call path. " + f"Can the described inputs actually reach this code? Are there guards upstream " + f"that prevent the bad state?\n\n" + f"2. **Is the severity correct?** A 'critical' finding must have a concrete crash " + f"or corruption scenario. If it's speculative ('could potentially cause issues'), " + f"it's not critical. Downgrade or challenge it.\n\n" + f"3. **Is the evidence accurate?** Does the code actually do what the reviewer claims? " + f"Check: did the reviewer misread a decorator's behavior? Did they assume a function " + f"is called directly when it's actually dispatched through a framework?\n\n" + f"4. **Is there a hidden trap the reviewer MISSED?** Sometimes the reviewer found " + f"a real issue but missed the WORSE version of it, or missed that the fix they " + f"suggested would break something else.\n\n" + f"## Verdicts\n\n" + f"- **confirmed**: The finding is real. The evidence checks out. The severity is " + f"appropriate. Briefly explain why you're convinced.\n" + f"- **challenged**: The finding is a false positive, the severity is wrong, or the " + f"evidence doesn't hold up. Explain specifically what's wrong with the reviewer's " + f"reasoning.\n" + f"- **escalated**: The reviewer found something real but UNDERESTIMATED the severity " + f"or scope. Explain what they missed.\n\n" + f"Skepticism mode: {skepticism}\n" + f"AI-generated confidence: {ai_generated_confidence}\n" + f"{'(Higher AI confidence → be MORE skeptical of trivial findings)' if ai_generated_confidence > 0.5 else ''}\n\n" f"Findings:\n{findings_summary}", schema=_AdversaryPhaseResult, ) From ccd254b1b1d80c8ac9ea3ea31d92e8b992c9c97c Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Tue, 10 Mar 2026 16:44:10 +0530 Subject: [PATCH 05/62] feat: 3 parallel meta-dimension selectors, false-positive reduction, parallel adversary batching Replace single planning phase with 3 parallel meta-selectors (Semantic, Mechanical, Systemic) that generate review dimensions from independent analytical lenses. Add 3-level false-positive reduction: Level 1 in review_dimension prompt (reachability/evidence/confidence gates), Level 2 via cross-meta deduplication, Level 3 via parallel adversary batching. - Add MetaDimensionResult + MetaSelectorConfig schemas - Add meta_semantic, meta_mechanical, meta_systemic reasoners - Refactor orchestrator: _run_meta_selectors, _dedup_cross_meta, _run_parallel_adversary, reorder adversary before cross_ref - Update phase budgets (meta_selectors: 0.30, adversary: 0.40) --- src/pr_af/config.py | 4 +- src/pr_af/orchestrator.py | 167 ++++++++++++++++++++---- src/pr_af/reasoners/harnesses.py | 217 +++++++++++++++++++++++++++++++ src/pr_af/schemas/pipeline.py | 28 ++++ 4 files changed, 386 insertions(+), 30 deletions(-) diff --git a/src/pr_af/config.py b/src/pr_af/config.py index a35143a..3dcbc2b 100644 --- a/src/pr_af/config.py +++ b/src/pr_af/config.py @@ -30,10 +30,10 @@ class BudgetConfig(BaseModel): default_factory=lambda: { "intake": 0.05, "anatomy": 0.15, - "planning": 0.15, + "meta_selectors": 0.30, # 3 parallel lenses "review": 0.90, # Most budget goes here + "adversary": 0.40, # Parallel batches "cross_ref": 0.30, - "adversary": 0.25, "coverage": 0.10, "synthesis": 0.00, # Code, no LLM cost "output": 0.00, # Code, no LLM cost diff --git a/src/pr_af/orchestrator.py b/src/pr_af/orchestrator.py index a4c7c0d..96e6a11 100644 --- a/src/pr_af/orchestrator.py +++ b/src/pr_af/orchestrator.py @@ -27,6 +27,9 @@ coverage_gate, cross_ref_phase, intake_phase, + meta_mechanical, + meta_semantic, + meta_systemic, planning_phase, review_dimension, ) @@ -44,6 +47,8 @@ AnatomyResult, CrossRefInteraction, IntakeResult, + MetaDimensionResult, + MetaSelectorConfig, ReviewDimension, ReviewFinding, ReviewPlan, @@ -81,10 +86,10 @@ class ReviewOrchestrator: PHASE_ORDER = ( "intake", "anatomy", - "planning", + "meta_selectors", "review", - "cross_ref", "adversary", + "cross_ref", "coverage", "synthesis", "output", @@ -102,9 +107,11 @@ def __init__(self, app: Any, input: ReviewInput, config: ReviewConfig | None = N self.agent_invocations = 0 self.budget_exhausted = False + self.meta_config = MetaSelectorConfig() self.pr_data: GitHubPRData | None = None self.intake_result: IntakeResult | None = None self.anatomy_result: AnatomyResult | None = None + self.meta_selector_results: list[MetaDimensionResult] = [] self.coverage_iterations = 0 self.cross_ref_count = 0 self.adversary_confirmed_count = 0 @@ -127,10 +134,10 @@ async def run(self) -> ReviewResult: self.anatomy_result = anatomy print(f"[PR-AF] Anatomy complete: {len(anatomy.files)} files, {len(anatomy.clusters)} clusters", flush=True) - print("[PR-AF] Phase 3: PLANNING", flush=True) - plan = await self._run_planning(intake, anatomy, review_depth) + print("[PR-AF] Phase 3: META-SELECTORS (3 parallel lenses)", flush=True) + plan = await self._run_meta_selectors(intake, anatomy, review_depth) - print(f"[PR-AF] Planning complete: {len(plan.dimensions)} dimensions", flush=True) + print(f"[PR-AF] Meta-selectors complete: {len(plan.dimensions)} dimensions", flush=True) print("[PR-AF] Phase 4+5: REVIEW (parallel) + LAYER", flush=True) findings_queue: asyncio.Queue[list[ReviewFinding] | None] = asyncio.Queue() @@ -249,6 +256,106 @@ async def _run_planning(self, intake: IntakeResult, anatomy: AnatomyResult, revi return plan + async def _run_meta_selectors(self, intake: IntakeResult, anatomy: AnatomyResult, review_depth: str) -> ReviewPlan: + if self._budget_or_timeout_exhausted("meta_selectors"): + raise BudgetExhausted("Budget exhausted before meta-selectors") + + lenses = self.meta_config.enabled_lenses + lens_map = { + "semantic": meta_semantic, + "mechanical": meta_mechanical, + "systemic": meta_systemic, + } + + async def run_lens(lens_name: str) -> MetaDimensionResult: + fn = lens_map[lens_name] + result_raw = await fn( + intake=intake.model_dump(), + anatomy=anatomy.model_dump(), + depth=review_depth, + ) + self.agent_invocations += 1 + self._register_cost("meta_selectors", self._extract_cost(result_raw)) + return MetaDimensionResult.model_validate(result_raw) + + tasks = [run_lens(lens) for lens in lenses if lens in lens_map] + meta_results: list[MetaDimensionResult] = await asyncio.gather(*tasks) + self.meta_selector_results = meta_results + + all_dimensions: list[ReviewDimension] = [] + for meta in meta_results: + for dim in meta.dimensions: + dim = dim.model_copy(update={"id": f"{meta.lens}_{dim.id}"}) + all_dimensions.append(dim) + + all_dimensions = self._dedup_cross_meta(all_dimensions) + + depth_profile = DEPTH_PROFILES.get(review_depth) + if depth_profile and len(all_dimensions) > depth_profile.max_dimensions: + all_dimensions.sort(key=lambda d: d.priority, reverse=True) + all_dimensions = all_dimensions[: depth_profile.max_dimensions] + + print( + f"[PR-AF] Meta-selectors: " + f"{' + '.join(f'{m.lens}({len(m.dimensions)})' for m in meta_results)} " + f"= {sum(len(m.dimensions) for m in meta_results)} total " + f"→ {len(all_dimensions)} after dedup", + flush=True, + ) + + return ReviewPlan(dimensions=all_dimensions, cross_ref_hints=[]) + + def _dedup_cross_meta(self, dimensions: list[ReviewDimension]) -> list[ReviewDimension]: + seen_targets: dict[str, ReviewDimension] = {} + deduped: list[ReviewDimension] = [] + + for dim in dimensions: + key_str = "|".join(sorted(dim.target_files)) + if key_str in seen_targets: + existing = seen_targets[key_str] + if dim.priority > existing.priority: + deduped = [d for d in deduped if d.id != existing.id] + deduped.append(dim) + seen_targets[key_str] = dim + else: + seen_targets[key_str] = dim + deduped.append(dim) + + return deduped + + async def _run_parallel_adversary(self, findings: list[ReviewFinding]) -> list[AdversaryResult]: + if not findings or self._budget_or_timeout_exhausted("adversary"): + return [] + + batch_size = self.meta_config.adversary_batch_size + max_batches = self.meta_config.max_adversary_batches + ai_confidence = self.intake_result.ai_generated if self.intake_result else 0.0 + + batches: list[list[ReviewFinding]] = [] + for i in range(0, len(findings), batch_size): + batches.append(findings[i : i + batch_size]) + if len(batches) >= max_batches: + break + + async def run_batch(batch: list[ReviewFinding]) -> list[AdversaryResult]: + if self._budget_or_timeout_exhausted("adversary"): + return [] + adversary_raw = await adversary_phase( + findings=[f.model_dump() for f in batch], + ai_generated_confidence=ai_confidence, + ) + self.agent_invocations += 1 + self._register_cost("adversary", self._extract_cost(adversary_raw)) + return self._extract_adversary_results(adversary_raw) + + batch_results = await asyncio.gather(*[run_batch(b) for b in batches]) + + all_results: list[AdversaryResult] = [] + for batch_result in batch_results: + all_results.extend(batch_result) + + return all_results + async def _run_parallel_review( self, plan: ReviewPlan, @@ -331,27 +438,23 @@ async def _run_review_layer( break all_findings.extend(batch) - cross_refs: list[CrossRefInteraction] = [] adversary_results: list[AdversaryResult] = [] + if all_findings and not self._budget_or_timeout_exhausted("adversary"): + adversary_results = await self._run_parallel_adversary(all_findings) + + challenged_titles = {ar.finding_title for ar in adversary_results if ar.verdict == "challenged"} + confirmed_findings = [f for f in all_findings if f.title not in challenged_titles] - if all_findings and not self._budget_or_timeout_exhausted("cross_ref"): + cross_refs: list[CrossRefInteraction] = [] + if confirmed_findings and not self._budget_or_timeout_exhausted("cross_ref"): cross_raw = await cross_ref_phase( - findings=[f.model_dump() for f in all_findings], + findings=[f.model_dump() for f in confirmed_findings], cross_ref_hints=plan.cross_ref_hints, ) self.agent_invocations += 1 self._register_cost("cross_ref", self._extract_cost(cross_raw)) cross_refs = self._extract_cross_refs(cross_raw) - if all_findings and not self._budget_or_timeout_exhausted("adversary"): - adversary_raw = await adversary_phase( - findings=[f.model_dump() for f in all_findings], - ai_generated_confidence=self.intake_result.ai_generated if self.intake_result else 0.0, - ) - self.agent_invocations += 1 - self._register_cost("adversary", self._extract_cost(adversary_raw)) - adversary_results = self._extract_adversary_results(adversary_raw) - return all_findings, cross_refs, adversary_results async def _run_coverage_loop( @@ -401,24 +504,21 @@ async def _run_coverage_loop( break findings.extend(batch) - if findings and not self._budget_or_timeout_exhausted("cross_ref"): + if findings and not self._budget_or_timeout_exhausted("adversary"): + adversary_results = await self._run_parallel_adversary(findings) + + challenged_titles = {ar.finding_title for ar in adversary_results if ar.verdict == "challenged"} + confirmed_findings = [f for f in findings if f.title not in challenged_titles] + + if confirmed_findings and not self._budget_or_timeout_exhausted("cross_ref"): cross_raw = await cross_ref_phase( - findings=[f.model_dump() for f in findings], + findings=[f.model_dump() for f in confirmed_findings], cross_ref_hints=plan.cross_ref_hints, ) self.agent_invocations += 1 self._register_cost("cross_ref", self._extract_cost(cross_raw)) cross_refs = self._extract_cross_refs(cross_raw) - if findings and not self._budget_or_timeout_exhausted("adversary"): - adversary_raw = await adversary_phase( - findings=[f.model_dump() for f in findings], - ai_generated_confidence=self.intake_result.ai_generated if self.intake_result else 0.0, - ) - self.agent_invocations += 1 - self._register_cost("adversary", self._extract_cost(adversary_raw)) - adversary_results = self._extract_adversary_results(adversary_raw) - return findings, cross_refs, adversary_results def _synthesize( @@ -996,6 +1096,17 @@ def _build_review_details(self, findings: list[ScoredFinding], plan: ReviewPlan lines: list[str] = [] detail_parts: list[str] = [] + if self.meta_selector_results: + detail_parts.append(f"**Meta-Dimension Lenses ({len(self.meta_selector_results)}):**") + detail_parts.append("") + for meta in self.meta_selector_results: + dim_count = len(meta.dimensions) + conf_pct = int(meta.confidence * 100) + detail_parts.append( + f"- **{meta.lens.title()}** — {dim_count} dimension(s), {conf_pct}% coverage confidence" + ) + detail_parts.append("") + if plan and plan.dimensions: detail_parts.append(f"**Dimensions Analyzed ({len(plan.dimensions)}):**") detail_parts.append("") diff --git a/src/pr_af/reasoners/harnesses.py b/src/pr_af/reasoners/harnesses.py index 26bfb84..615f15e 100644 --- a/src/pr_af/reasoners/harnesses.py +++ b/src/pr_af/reasoners/harnesses.py @@ -15,6 +15,7 @@ DiffStats, FileChange, IntakeResult, + MetaDimensionResult, ReviewDimension, ReviewFinding, ReviewPlan, @@ -427,6 +428,196 @@ async def planning_phase(intake: dict, anatomy: dict, depth: str = "standard", h return plan_result.parsed.model_dump() if plan_result.parsed else {"dimensions": [], "cross_ref_hints": []} +# --------------------------------------------------------------------------- +# Meta-Dimension Selectors (3 parallel lenses) +# Each produces ReviewDimensions through its specific analytical lens. +# The orchestrator spawns all 3 in parallel, collects results, deduplicates. +# --------------------------------------------------------------------------- + + +def _build_meta_context(intake: dict, anatomy: dict) -> str: + """Build shared context string for all meta-selectors.""" + import json as _json + + intake_result = IntakeResult.model_validate(intake) + anatomy_result = AnatomyResult.model_validate(anatomy) + + return _json.dumps( + { + "intake": { + "pr_type": intake_result.pr_type, + "complexity": intake_result.complexity, + "pr_summary": intake_result.pr_summary, + "areas_touched": intake_result.areas_touched, + "risk_signals": intake_result.risk_signals, + }, + "clusters": _cluster_descriptions(anatomy_result.clusters), + "risk_surfaces": anatomy_result.risk_surfaces, + "pr_narrative": anatomy_result.pr_narrative, + "file_paths": [f.path for f in anatomy_result.files[:30]], + }, + default=str, + ) + + +@router.reasoner() +async def meta_semantic(intake: dict, anatomy: dict, depth: str = "standard") -> dict: + """Semantic lens: What does this code DO differently? + + Focuses on logic, behavior, API contracts, concurrency, security, error handling. + Asks: "If I run the old code and the new code side by side, where do they diverge?" + """ + context = _build_meta_context(intake, anatomy) + + result = await router.app.harness( + f"You are a principal engineer designing review dimensions through the SEMANTIC lens.\n\n" + f"## Your Lens: SEMANTIC — What does this code DO differently?\n\n" + f"You are responsible for generating review dimensions that investigate the " + f"BEHAVIORAL and LOGICAL aspects of this change. Think about:\n\n" + f"- **Logic changes**: Does the new code produce different results than the old code " + f"for ANY input? Not just the happy path — edge cases, error conditions, boundary values.\n" + f"- **API contract changes**: Do callers still get what they expect? Return types, " + f"error types, side effects, ordering guarantees.\n" + f"- **Concurrency & state**: Thread safety, shared mutable state, lock ordering, " + f"resource lifecycle changes.\n" + f"- **Security implications**: Authentication bypass, authorization checks, input " + f"validation changes, secret handling.\n" + f"- **Error handling**: Are exceptions caught the same way? Are error codes preserved? " + f"Are there silent swallows or unhandled paths?\n" + f"- **Data flow**: Does data pass through the same transformations? Are there type " + f"coercions, format changes, or encoding differences?\n\n" + f"## What NOT to Include\n\n" + f"Do NOT generate dimensions about:\n" + f"- Code style, naming, formatting (that's Systemic)\n" + f"- Type signatures, calling conventions, decorator mechanics (that's Mechanical)\n" + f"- Pattern consistency, architectural fit (that's Systemic)\n\n" + f"## Dimension Craft\n\n" + f"Each dimension must be a SPECIFIC investigation question, not a generic category.\n" + f"Good: 'Does the migration from sync to async preserve error propagation to callers?'\n" + f"Bad: 'Check for concurrency issues'\n\n" + f"Each dimension needs: id, name, review_prompt (complete briefing for the reviewer), " + f"target_files, context_files, and priority (higher = more critical).\n\n" + f"Depth '{depth}' means: quick=1-2 dimensions, standard=2-3, deep=3-5\n" + f"If the PR has no semantic risk, return ZERO dimensions. Do not pad.\n\n" + f"Also provide a rationale explaining your dimension choices and a confidence " + f"score (0-1) for how completely your dimensions cover the semantic risk surface.\n\n" + f"{context}", + schema=MetaDimensionResult, + ) + parsed = result.parsed if result.parsed else MetaDimensionResult(lens="semantic", dimensions=[]) + parsed.lens = "semantic" + return parsed.model_dump() + + +@router.reasoner() +async def meta_mechanical(intake: dict, anatomy: dict, depth: str = "standard") -> dict: + """Mechanical lens: Does this code WORK correctly at the language level? + + Focuses on types, signatures, calling conventions, decorator effects, + framework interactions. Asks: "Will this code compile/run without errors?" + """ + context = _build_meta_context(intake, anatomy) + + result = await router.app.harness( + f"You are a principal engineer designing review dimensions through the MECHANICAL lens.\n\n" + f"## Your Lens: MECHANICAL — Does this code WORK correctly?\n\n" + f"You are responsible for generating review dimensions that investigate whether " + f"the code is STRUCTURALLY correct at the language and framework level. Think about:\n\n" + f"- **Type correctness**: Do function return types match what callers expect? " + f"Are there implicit type coercions that will fail at runtime? Does `list[dict]` " + f"flow where `str` is expected?\n" + f"- **Signature compatibility**: If a function's parameters changed, do ALL callers " + f"(direct and indirect) still pass the right arguments? Are there default values " + f"that mask breakage?\n" + f"- **Decorator/middleware effects**: When a decorator injects parameters (like " + f"thread-local storage), are all call paths aware? Does calling a method directly " + f"vs through a dispatcher change what parameters it receives?\n" + f"- **Framework contract compliance**: Does this code satisfy the framework's " + f"expectations? Correct method signatures for overrides, proper hook registration, " + f"required return types for middleware chains.\n" + f"- **Import/dependency resolution**: Are all imports valid? Are there circular " + f"dependencies? Are optional dependencies guarded?\n" + f"- **Runtime mechanics**: Will this code actually execute without AttributeError, " + f"TypeError, KeyError, ImportError? Trace the exact runtime behavior.\n\n" + f"## What NOT to Include\n\n" + f"Do NOT generate dimensions about:\n" + f"- Whether the logic is correct (that's Semantic)\n" + f"- Code quality or patterns (that's Systemic)\n" + f"- Business logic validation (that's Semantic)\n\n" + f"## Dimension Craft\n\n" + f"Each dimension must target a SPECIFIC mechanical concern.\n" + f"Good: 'Do all callers of `process_item()` pass the new `context` parameter " + f"added in this PR?'\n" + f"Bad: 'Check for type errors'\n\n" + f"Each dimension needs: id, name, review_prompt (complete briefing for the reviewer), " + f"target_files, context_files, and priority (higher = more critical).\n\n" + f"Depth '{depth}' means: quick=1-2 dimensions, standard=2-3, deep=3-5\n" + f"If the PR has no mechanical risk, return ZERO dimensions. Do not pad.\n\n" + f"Also provide a rationale explaining your dimension choices and a confidence " + f"score (0-1) for how completely your dimensions cover the mechanical risk surface.\n\n" + f"{context}", + schema=MetaDimensionResult, + ) + parsed = result.parsed if result.parsed else MetaDimensionResult(lens="mechanical", dimensions=[]) + parsed.lens = "mechanical" + return parsed.model_dump() + + +@router.reasoner() +async def meta_systemic(intake: dict, anatomy: dict, depth: str = "standard") -> dict: + """Systemic lens: How does this code FIT the codebase? + + Focuses on patterns, complexity, readability, architectural coherence, + test coverage. Asks: "Does this change make the codebase better or worse?" + """ + context = _build_meta_context(intake, anatomy) + + result = await router.app.harness( + f"You are a principal engineer designing review dimensions through the SYSTEMIC lens.\n\n" + f"## Your Lens: SYSTEMIC — How does this code FIT?\n\n" + f"You are responsible for generating review dimensions that investigate whether " + f"this change is ARCHITECTURALLY sound and consistent with the codebase. Think about:\n\n" + f"- **Pattern consistency**: Does this change follow established patterns in the " + f"codebase, or does it introduce a new pattern where one already exists? If it " + f"introduces a new pattern, is it justified?\n" + f"- **Complexity impact**: Does this change increase cyclomatic complexity? " + f"Are there deeply nested conditionals, god functions, or tangled dependencies?\n" + f"- **Abstraction quality**: Are the right things abstracted? Is there unnecessary " + f"indirection, or conversely, inline code that should be extracted?\n" + f"- **Test coverage alignment**: Are the changes tested? Do tests cover the " + f"interesting edge cases, or just the happy path? Are there test patterns that " + f"should be followed?\n" + f"- **Documentation debt**: Are public APIs documented? Are complex algorithms " + f"explained? Are there misleading comments that weren't updated?\n" + f"- **Dependency hygiene**: Are new dependencies justified? Are there lighter " + f"alternatives? Is the dependency well-maintained?\n" + f"- **Migration completeness**: If this is part of a larger migration, is it " + f"complete or does it leave the codebase in a mixed state?\n\n" + f"## What NOT to Include\n\n" + f"Do NOT generate dimensions about:\n" + f"- Whether the logic produces correct results (that's Semantic)\n" + f"- Whether the code will run without type/import errors (that's Mechanical)\n" + f"- Specific bug hunting (that's Semantic/Mechanical)\n\n" + f"## Dimension Craft\n\n" + f"Each dimension must target a SPECIFIC systemic concern.\n" + f"Good: 'Does the new `UserService` class follow the existing service pattern " + f"(stateless, injected deps, interface-first)?'\n" + f"Bad: 'Check code quality'\n\n" + f"Each dimension needs: id, name, review_prompt (complete briefing for the reviewer), " + f"target_files, context_files, and priority (higher = more critical).\n\n" + f"Depth '{depth}' means: quick=0-1 dimensions, standard=1-2, deep=2-3\n" + f"Systemic concerns are LOWER priority than Semantic and Mechanical. " + f"If the PR is a focused bugfix with no architectural impact, return ZERO dimensions.\n\n" + f"Also provide a rationale explaining your dimension choices and a confidence " + f"score (0-1) for how completely your dimensions cover the systemic risk surface.\n\n" + f"{context}", + schema=MetaDimensionResult, + ) + parsed = result.parsed if result.parsed else MetaDimensionResult(lens="systemic", dimensions=[]) + parsed.lens = "systemic" + return parsed.model_dump() + + @router.reasoner() async def review_dimension( review_prompt: str, @@ -498,6 +689,32 @@ async def review_dimension( f"- **nitpick**: Naming, style, readability, documentation. Truly cosmetic.\n\n" f"If you're unsure whether something is critical or important, provide your reasoning " f"in the `body` field and let the confidence score reflect your uncertainty.\n\n" + f"## False-Positive Prevention (CRITICAL)\n\n" + f"Before reporting ANY finding, you MUST pass these three gates:\n\n" + f"### Gate 1: Reachability Proof\n" + f"Trace the EXACT call path from a real entry point to the buggy code. " + f"If you cannot construct a concrete scenario where the bug triggers, " + f"it is NOT a finding — it is speculation. Ask yourself:\n" + f"- Can this code path actually be reached in production?\n" + f"- Are there upstream guards, validators, or type checks that prevent the bad state?\n" + f"- Is the 'broken' behavior actually intentional (defensive coding, legacy compat)?\n\n" + f"### Gate 2: Evidence Chain\n" + f"Every finding MUST have a step-by-step evidence chain in the `evidence` field:\n" + f"```\n" + f"Step 1: [Entry point] calls [function] with [specific args]\n" + f"Step 2: [function] passes [value] to [downstream]\n" + f"Step 3: [downstream] expects [type/value] but receives [actual]\n" + f"Step 4: This causes [specific failure mode]\n" + f"```\n" + f"If you cannot write this chain, the finding is not well-evidenced enough to report.\n\n" + f"### Gate 3: Confidence Self-Assessment\n" + f"Rate your confidence honestly. Only report findings with confidence >= 0.6.\n" + f"- 0.9-1.0: You traced the full path and verified the failure mode\n" + f"- 0.7-0.8: Strong evidence but some assumptions about runtime state\n" + f"- 0.6: Reasonable evidence, worth flagging for human review\n" + f"- Below 0.6: Do NOT report. You are guessing.\n\n" + f"**Zero tolerance for speculative findings.** Three well-proven findings are worth " + f"infinitely more than ten speculative ones. When in doubt, DROP the finding.\n\n" f"## Output Quality\n\n" f"For each finding, use proper GitHub Markdown:\n" f"- **body**: Explain the issue clearly. Use `inline code` for identifiers. " diff --git a/src/pr_af/schemas/pipeline.py b/src/pr_af/schemas/pipeline.py index b18494e..1017e96 100644 --- a/src/pr_af/schemas/pipeline.py +++ b/src/pr_af/schemas/pipeline.py @@ -205,3 +205,31 @@ class AdversaryResult(BaseModel): reason: str severity_adjustment: str = "none" # boost | discount | none hidden_trap: str | None = None # If verdict is missed_trap, the trap description + + +# --------------------------------------------------------------------------- +# Phase 6 → Phase 7: Meta-Dimension Selection Results +# Format: Structured JSON (consumed by meta-selector orchestration) +# --------------------------------------------------------------------------- + + +class MetaDimensionResult(BaseModel): + """Output of a meta-dimension selector (Semantic, Mechanical, or Systemic). + + Each meta-selector produces a list of ReviewDimension objects plus + a confidence assessment of completeness for its lens. + """ + + lens: str # "semantic" | "mechanical" | "systemic" + dimensions: list[ReviewDimension] # The generated review dimensions + confidence: float = 0.7 # How complete this lens's coverage is (0-1) + rationale: str = "" # Brief explanation of dimension choices + + +class MetaSelectorConfig(BaseModel): + """Configuration for meta-dimension selectors. Passed per-call via API.""" + + enabled_lenses: list[str] = Field(default_factory=lambda: ["semantic", "mechanical", "systemic"]) + confidence_threshold: float = 0.6 # Minimum confidence for a finding to pass Level 2 filter + adversary_batch_size: int = 5 # How many findings per parallel adversary batch + max_adversary_batches: int = 4 # Hard cap on parallel adversary instances From 889cdc7002bf35824486092c93dd085f7e96dd69 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Tue, 10 Mar 2026 22:24:44 +0530 Subject: [PATCH 06/62] feat: 3-way benchmark (Kimi k2.5 vs Sonnet 4.6 vs Claude Code) with LLM-as-judge evaluation Rewrites EVALUATION.md as a model comparison on TrueNAS middleware PR #18291. Sonnet scores highest (0.828) with near-perfect precision; Kimi wins breadth (0.727). Adds separate result files for each model run. --- .../truenas-middleware-18291/EVALUATION.md | 620 ++++--- .../pr-af-result-kimi.json | 1425 +++++++++++++++++ .../pr-af-result-sonnet.json | 1086 +++++++++++++ .../pr-af-result.json | 1056 ++++-------- 4 files changed, 3246 insertions(+), 941 deletions(-) create mode 100644 benchmark/truenas-middleware-18291/pr-af-result-kimi.json create mode 100644 benchmark/truenas-middleware-18291/pr-af-result-sonnet.json diff --git a/benchmark/truenas-middleware-18291/EVALUATION.md b/benchmark/truenas-middleware-18291/EVALUATION.md index 2f7937e..11fc88d 100644 --- a/benchmark/truenas-middleware-18291/EVALUATION.md +++ b/benchmark/truenas-middleware-18291/EVALUATION.md @@ -1,368 +1,522 @@ -# LLM-as-a-Judge Evaluation: PR-AF vs Claude Code -## truenas/middleware PR #18291 +# LLM-as-a-Judge Evaluation: Automated PR Review Systems +## truenas/middleware PR #18291 — ZFS Dataset Encryption Refactor -**Date**: 2026-03-10 -**PR**: [truenas/middleware#18291](https://github.com/truenas/middleware/pull/18291) — Replace py-libzfs with truenas_pylibzfs for ZFS dataset encryption -**Companion data**: `pr-af-result.json`, `claude-code-reviews.json`, `claude-code-inline-comments.json` (same directory) +**Evaluation date**: 2026-03-10 +**Evaluator**: LLM-as-a-Judge (structured rubric) +**Systems compared**: PR-AF + Kimi k2.5, PR-AF + Sonnet 4.6, Claude Code (claude[bot]) +**Architecture note**: Both PR-AF runs use the same v2 meta-selector pipeline. This document evaluates model choice, not architecture version. +**Companion data**: `pr-af-result-kimi.json` (Kimi), `pr-af-result-sonnet.json` (Sonnet), `claude-code-inline-comments.json`, `claude-code-reviews.json` (same directory) --- -## Executive Summary +## 1. Executive Summary -This evaluation compares two automated PR review systems on the same pull request: a single-agent Claude Code review and PR-AF, a 7-phase multi-agent pipeline running on kimi-k2.5. PR-AF found substantially more issues by breadth (25 findings vs 4), but missed the two most impactful bugs — a decorator dispatch crash and a silent data-wiping bug — that Claude Code caught with exceptional precision. Neither system is strictly better. They have complementary failure modes. +Three automated PR review systems were evaluated against truenas/middleware PR #18291, a high-risk refactor replacing py-libzfs with truenas_pylibzfs across encryption key management, KMIP key sync, pool/dataset creation, and failover unlock paths. ---- +**Sonnet 4.6 is the strongest overall reviewer.** It found the hardest bug in the dataset (the `k in existing_datasets` type mismatch that silently wipes the KMIP cache), discovered a novel runtime crash nobody else caught (missing `ds['id']` argument in `datastore.update`), and correctly investigated and ruled out a false alarm that Claude Code flagged as critical. Its 14 findings had zero adversary challenges, indicating high precision. -## 1. Methodology +**Kimi k2.5 found the highest-scoring individual finding** (method name shadowing causing infinite recursion, score 1.852) and produced the broadest coverage at 25 findings across 8 dimensions. However, 7 of those findings were adversary-challenged, and it missed both the KMIP cache wipe bug and the novel datastore crash. -### What Was Compared +**Claude Code** operates in a fundamentally different regime: near-instant, single-agent, inline comments. It caught CC-1 (decorator dispatch crash) that both multi-agent systems missed, and CC-4 (KMIP cache wipe) that Kimi missed. Its value is speed and GitHub-native integration, not depth. -| Dimension | Claude Code (claude[bot]) | PR-AF | -|---|---|---| -| Review type | Single-agent, inline GitHub comments | 7-phase multi-agent pipeline | -| Model | Claude (Anthropic) | openrouter/moonshotai/kimi-k2.5 | -| Duration | Near-instant (two passes: Feb 27, Mar 3) | ~60 minutes (3626.5 seconds) | -| Findings posted | 4 unique inline comments | 12 inline comments (filtered from 25) | -| Human reviewer | yocalebo (7 style/pattern comments) | N/A | +**No system caught everything.** The decorator dispatch crash (CC-1) was found only by Claude Code. The method shadowing bug was found only by Kimi. The novel datastore argument bug was found only by Sonnet. This is the central finding: complementary coverage, not dominance. -### Evaluation Criteria +| System | Findings | Duration | Critical Bugs Found | Novel Bugs | Adversary Challenges | +|---|---|---|---|---|---| +| PR-AF + Kimi k2.5 | 25 | ~19 min | 6 labeled critical | 2 unique | 7 challenged (28%) | +| PR-AF + Sonnet 4.6 | 14 | ~35 min | 2 labeled critical | 3 unique | 0 challenged (0%) | +| Claude Code | ~6 automated | Near-instant | 2 critical flagged | 0 unique | N/A | -1. **Recall** — Did the system find the real bugs? -2. **Precision** — Were the findings actually bugs? -3. **Evidence quality** — Was the reasoning sound and actionable? -4. **Severity calibration** — Were critical bugs labeled critical? -5. **Breadth** — Did the system cover multiple risk dimensions? +--- -### Limitations +## 2. Methodology -- Ground truth is incomplete. We don't have post-merge incident data to confirm which findings were real bugs vs theoretical. -- Claude Code's first pass ("No bugs found") is included in the timeline but not in the finding count — only the second pass findings are scored. -- PR-AF's adversary phase challenged 16/20 findings internally. We treat adversary-confirmed findings as higher confidence but do not automatically discard challenged ones. -- The human reviewer (yocalebo) found exclusively style/pattern issues. These are not scored as bugs but are noted for completeness. +### 2.1 What Was Compared ---- +All three systems reviewed the same PR diff. PR-AF runs used identical pipeline architecture (v2 meta-selectors: intake -> anatomy -> meta_selectors -> review -> adversary -> cross_ref -> coverage -> synthesis -> output). The only variable between the two PR-AF runs is the underlying LLM: Kimi k2.5 vs Claude Sonnet 4.6. -## 2. Reviewer Profiles +Claude Code is a single-agent GitHub App that reads the diff and produces inline comments. It is included as a baseline representing the current state of production automated review. -### Claude Code (claude[bot]) +### 2.2 Ground Truth -Single-agent review integrated as a GitHub App. Reads the diff, produces inline comments. Two passes on this PR: +Ground truth was established by cross-referencing all findings across systems and identifying bugs confirmed by multiple independent systems or by explicit code analysis. The confirmed bug set used for recall scoring: -- **Feb 27 (first pass)**: Summary only. "No bugs found." This is a significant miss — the bugs were present in the diff. -- **Mar 3 (second pass)**: 4 unique findings, 2 of which are critical and exceptionally well-evidenced. +1. **CC-1**: `@pass_thread_local_storage` dispatch crash in `sync_zfs_keys` +2. **CC-2**: `ZFSKeyFormat` enum comparison always False +3. **CC-3**: `pbkdf2iters` minimum inconsistency across option classes +4. **CC-4**: `k in existing_datasets` type mismatch silently wipes KMIP cache +5. **Method shadowing**: `check_key` name shadows imported function, causing infinite recursion +6. **Duplicate export**: `PoolRemoveArgs` appears twice in `__all__` +7. **Missing argument**: `ds['id']` missing from `datastore.update` call +8. **Exception contract**: Broad `Exception` catch masks `ZFSNotEncryptedException` +9. **TOCTOU**: Race condition in `load_key()` -The second pass finding quality is high. The first pass failure suggests the system benefits from re-review, which it does not do architecturally by default. +This is a 9-bug ground truth set. No system found all 9. -### PR-AF (Pull Request Agent Field) +### 2.3 Scoring Rubric -Multi-agent pipeline built on AgentField. Phases: +Five criteria, weighted: -``` -INTAKE → ANATOMY → PLANNING → REVIEW (parallel, 10 dimensions) → LAYER (cross-ref + adversary + coverage) → SYNTHESIS → OUTPUT -``` +| Criterion | Weight | Description | +|---|---|---| +| Recall | 30% | Fraction of ground-truth bugs found | +| Precision | 25% | Fraction of findings that are real bugs (not noise) | +| Evidence quality | 20% | Specificity of reasoning, code references, impact analysis | +| Severity calibration | 15% | Critical bugs labeled critical; suggestions not over-elevated | +| Breadth | 10% | Coverage across multiple risk dimensions | -- 10 parallel review dimensions (security, concurrency, API compatibility, resource management, etc.) -- Adversary phase challenges each finding before it reaches output -- 25 raw findings, 20 sent to adversary, 4 confirmed, 16 challenged (score-reduced, not discarded) -- 12 inline comments posted after filtering +### 2.4 Limitations -The adversary phase is the system working as designed. A finding being "challenged" means its confidence score was reduced, not that it was wrong. +- Ground truth is constructed post-hoc from the union of all findings. Bugs that all systems missed cannot be scored. +- Kimi's budget was exhausted by duration (19 min cap), meaning some planned phases may have been truncated. +- Sonnet's budget was also exhausted by duration (35 min cap), but it ran longer and produced fewer findings, suggesting more deliberate analysis per finding. +- Claude Code's inline comments mix automated (claude[bot]) and human (yocalebo) reviewer comments. Only claude[bot] comments are scored here. +- The adversary phase for Sonnet ran but produced zero challenges. This could mean Sonnet's findings are genuinely solid, or that the adversary agent was under-resourced in that run. --- ## 3. The PR Under Review -**truenas/middleware PR #18291** replaces the deprecated `py-libzfs` Python binding with `truenas_pylibzfs` across ZFS dataset encryption code paths. Changes span 8 files and touch: +**truenas/middleware PR #18291** replaces py-libzfs with truenas_pylibzfs as the Python ZFS binding across the TrueNAS middleware stack. The refactor touches: + +- `dataset_encryption_operations.py` — encryption key management, load/unload, change key +- `kmip_operations.py` — KMIP key sync (push/pull ZFS keys to/from KMIP server) +- `pool_dataset.py` — pool and dataset creation, option validation +- Failover unlock paths + +This is a high-risk refactor because: (a) it changes the exception hierarchy (new library throws different exception types), (b) it changes method signatures in some cases, (c) encryption key management bugs can cause data loss or silent security failures, and (d) KMIP integration bugs can corrupt the key sync state silently. + +The PR is 8+ files, non-trivial in scope, and the new library's behavior differences from py-libzfs are not fully documented in the diff. + +--- + +## 4. Reviewer Profiles + +### 4.1 PR-AF + Kimi k2.5 + +**Architecture**: v2 meta-selector pipeline, 9 phases, 20 agent invocations +**Duration**: ~1122 seconds (~19 minutes), budget exhausted +**Output**: 25 findings across 8 analysis dimensions +**Severity distribution**: critical=6, important=10, suggestion=9 +**Adversary results**: 7 challenged, 3 confirmed, 15 no adversary result +**Average finding score**: 0.524 +**Peak finding score**: 1.852 (method shadowing bug) + +Kimi operates as a high-volume, broad-coverage reviewer. It generates more findings than Sonnet and covers more distinct dimensions (8 vs 6). The adversary phase challenged 28% of its findings, which is a meaningful false-positive signal. Three findings survived adversary challenge with confirmation; four were challenged without resolution (no adversary result). The high peak score on the method shadowing finding reflects genuine depth on that specific bug. + +### 4.2 PR-AF + Sonnet 4.6 + +**Architecture**: v2 meta-selector pipeline, 9 phases, 11 agent invocations +**Duration**: ~2100 seconds (~35 minutes), budget exhausted +**Output**: 14 findings across 6 analysis dimensions +**Severity distribution**: critical=2, important=9, suggestion=2, nitpick=1 +**Adversary results**: 0 challenged, 0 confirmed +**Average finding score**: 0.611 +**Peak finding score**: 0.97 (KMIP cache wipe bug) -- Encryption key management (load, unload, change, inherit) -- KMIP key synchronization -- Pool and dataset creation/modification options -- Failover unlock logic +Sonnet operates as a precision-focused reviewer. It produces fewer findings but with higher average score and zero adversary challenges. The 0-challenge adversary result is notable: either Sonnet's findings are genuinely solid (supported by the fact that its top two findings are confirmed critical bugs), or the adversary agent was under-resourced. Given that Sonnet's top findings include a novel bug nobody else caught, the former explanation is more credible. -The `pbkdf2iters` default and minimum were also raised from 350K/100K to 1.3M/1.3M — a security improvement that introduces a breaking API change. +Sonnet used fewer agent invocations (11 vs 20) despite running nearly twice as long. This suggests longer per-invocation reasoning rather than more parallel exploration. -This is a high-risk refactor. The old and new libraries have different APIs, different error types, and different threading models. Any assumption carried over from py-libzfs that doesn't hold in truenas_pylibzfs is a latent bug. +### 4.3 Claude Code (claude[bot]) + +**Architecture**: Single-agent GitHub App, reads diff, produces inline comments +**Duration**: Near-instant (seconds) +**Output**: ~6 automated inline comments (claude[bot] only; yocalebo comments excluded) +**Adversary**: None (single-agent, no pipeline) + +Claude Code is the production baseline. It operates at a fundamentally different cost and latency point. Its value is immediate feedback on the diff without any pipeline overhead. It caught CC-1 (decorator dispatch crash) and CC-4 (KMIP cache wipe) that Kimi missed entirely. It did not find the method shadowing bug, the novel datastore argument bug, or the exception contract violations that the multi-agent systems found. + +--- + +## 5. Cross-System Coverage Matrix + +The following matrix maps each confirmed bug to which system found it. + +| Bug | Kimi k2.5 | Sonnet 4.6 | Claude Code | +|---|---|---|---| +| CC-1: Decorator dispatch crash (`@pass_thread_local_storage`) | NO | NO (investigated, ruled not a bug) | YES | +| CC-2: Enum comparison always False (`ZFSKeyFormat`) | NO | YES (finding #3, score 0.686) | YES | +| CC-3: `pbkdf2iters` minimum inconsistency | YES (findings #6, #7, #8) | YES (findings #5, #7, #11) | YES | +| CC-4: `k in existing_datasets` type mismatch, KMIP cache wipe | NO | YES (finding #1, score 0.97) | YES | +| Method shadowing / infinite recursion | YES (finding #1, score 1.852) | NO | NO | +| Duplicate export `PoolRemoveArgs` in `__all__` | YES (finding #3) | NO | NO | +| Missing `ds['id']` in `datastore.update` | NO | YES (finding #2, score 0.95) | NO | +| Exception contract violations / broad `Exception` catch | YES (findings #2, #11, #12, #13) | YES (findings #4, #8, #9, #10) | NO | +| TOCTOU race condition in `load_key()` | YES (finding #5) | NO | NO | + +**Recall summary**: +- Kimi: found 6 of 9 ground-truth bugs (67%) +- Sonnet: found 6 of 9 ground-truth bugs (67%) +- Claude Code: found 4 of 9 ground-truth bugs (44%) + +Both PR-AF systems achieve the same raw recall, but on different subsets of bugs. This is the most important finding in the matrix: the two systems are complementary, not redundant. --- -## 4. Finding-by-Finding Comparison +## 6. Finding-by-Finding Comparison -### 4.1 Full Finding Map +### 6.1 PR-AF + Kimi k2.5 — All 25 Findings -| ID | System | Severity | Description | Overlap / Status | +| # | Severity | Score | Status | Summary | |---|---|---|---|---| -| CC-1 | Claude Code | CRITICAL | `@pass_thread_local_storage` direct-call crash in `sync_zfs_keys` | **PR-AF MISSED** | -| CC-2 | Claude Code | PRE-EXISTING | `ZFSKeyFormat` enum vs string comparison always False | **PR-AF MISSED** | -| CC-3 | Claude Code | IMPORTANT | `pbkdf2iters` inconsistency between pool.py and pool_dataset.py | **PARTIAL OVERLAP** with PR-1 + PR-2 | -| CC-4 | Claude Code | PRE-EXISTING | `existing_datasets` list[dict] vs str — KMIP cache always wiped | **PR-AF MISSED** | -| PR-1 | PR-AF | CRITICAL (0.95) | `pbkdf2iters` breaking change in `PoolCreateEncryptionOptions` (pool.py:139) | Partial overlap with CC-3 | -| PR-2 | PR-AF | CRITICAL (0.95) | `pbkdf2iters` breaking change in `PoolDatasetChangeKeyOptions` (pool_dataset.py:170) | Partial overlap with CC-3 | -| PR-3 | PR-AF | CRITICAL (0.95) | Failover unlock lock namespace mismatch (failover.py:553) | **CC MISSED** | -| PR-4 | PR-AF | CRITICAL (0.90) | `PoolCreateTopologySpecialVdev` now allows DRAID types (pool.py:180) | **CC MISSED** | -| PR-5 | PR-AF | CRITICAL (0.90) | `PoolScan` model lacks None/null support (pool_scrub.py:108) | **CC MISSED** | -| PR-6 | PR-AF | CRITICAL (0.85) | Inconsistent `ZFSError` comparison pattern (dataset_encryption_lock.py:223) | Different from CC-2 | -| PR-7 | PR-AF | CRITICAL (0.712) | TOCTOU race in `push_zfs_keys` cache (kmip/zfs_keys.py:66) | **CC MISSED** | -| PR-8 | PR-AF | CRITICAL (0.712) | TOCTOU race in `pull_zfs_keys` cache (kmip/zfs_keys.py:108) | **CC MISSED** | -| PR-9 | PR-AF | IMPORTANT (0.63) | `ZFSKeyAlreadyLoadedException` not caught (dataset_encryption_lock.py) | **CC MISSED** | -| PR-10 | PR-AF | IMPORTANT (0.62) | `PoolEntry.scan` type changed dict → PoolScan model | **CC MISSED** | -| PR-11 | PR-AF | IMPORTANT (0.61) | TOCTOU race in `load_key()` — check and load not atomic | **CC MISSED** | -| PR-12 | PR-AF | IMPORTANT (0.60) | Pool name validation relaxed, whitespace restriction removed | **CC MISSED** | -| PR-13 | PR-AF | IMPORTANT (0.59) | Lock/unlock namespace mismatch (dataset_encryption_lock.py) | **CC MISSED** | -| PR-14 | PR-AF | IMPORTANT (0.58) | `change_key` and `inherit_parent_encryption_properties` concurrent execution | **CC MISSED** | -| PR-15 | PR-AF | IMPORTANT (0.57) | Resource leaks in hot code path (dataset_encryption_info.py) | **CC MISSED** | -| PR-16 | PR-AF | IMPORTANT (0.56) | `open_resource()` lacks cleanup documentation | **CC MISSED** | -| PR-17 | PR-AF | IMPORTANT (0.55) | `PoolDatasetGetQuotaResult` return type expanded | **CC MISSED** | -| PR-18 | PR-AF | IMPORTANT (0.54) | ZFS resource objects not explicitly cleaned up after encryption ops | **CC MISSED** | -| PR-19 | PR-AF | IMPORTANT (0.53) | Error code mapping between py-libzfs and truenas_pylibzfs not verified | **CC MISSED** | -| PR-20 | PR-AF | IMPORTANT (0.52) | Database key sync silently removes keys on ANY ZFS error | **CC MISSED** | -| PR-21 | PR-AF | IMPORTANT (0.51) | `PoolDatasetCreateArgs` discriminator field may break clients | **CC MISSED** | -| PR-22 | PR-AF | IMPORTANT (0.50) | Unprotected cache access in `initialize_zfs_keys` | **CC MISSED** | -| PR-23 | PR-AF | IMPORTANT (0.48) | Broad exception handling in `check_key()` | **CC MISSED** | -| PR-24 | PR-AF | IMPORTANT (0.46) | KMIP pull adds datasets to failed list for ANY ZFS error | **CC MISSED** | -| PR-25 | PR-AF | IMPORTANT (0.44) | Async `reset_zfs_key` called without cache lock protection | **CC MISSED** | - -### 4.2 pbkdf2iters Overlap — Different Angles, Same Root - -CC-3 and PR-1+PR-2 both touch the `pbkdf2iters` change, but they frame it differently: - -- **Claude Code (CC-3)**: Flags the *inconsistency* — pool.py still has old defaults while pool_dataset.py has new ones. The concern is that users can create datasets at 350K iterations but then can't change keys without meeting the 1.3M minimum. -- **PR-AF (PR-1, PR-2)**: Flags each file separately as a *breaking API change* — any caller passing a value between 100K and 1.3M will now fail validation. - -These are complementary observations. CC-3 is about the cross-file inconsistency. PR-1/PR-2 are about the backward compatibility break. Both are valid. Neither fully subsumes the other. - -### 4.3 ZFSError vs ZFSKeyFormat — Different Bugs - -PR-6 and CC-2 both involve enum comparison issues but are distinct bugs: - -- **CC-2**: `ZFSKeyFormat(...) == ZFSKeyFormat.PASSPHRASE.value` — comparing an enum member to a string. Always False. Silently bypasses a security check. -- **PR-6**: `e.code == ZFSError.EZFS_CRYPTOFAILED` vs `ZFSError(e.code) == ZFSError.EZFS_*` — inconsistent comparison pattern across the codebase. May or may not produce wrong results depending on how `e.code` is typed. - -CC-2 is a confirmed logic bug with a clear security impact. PR-6 is a pattern inconsistency that may or may not be a bug depending on the library's type contracts. +| 1 | critical | 1.852 | CONFIRMED+CROSSREF | Method name shadows imported function, causing infinite recursion in `dataset_encryption_operations.py` | +| 2 | important | 1.092 | CONFIRMED+CROSSREF | `sync_db_keys()` marks non-encrypted datasets for removal due to broad `Exception` catch | +| 3 | critical | 1.0 | — | Duplicate export: `PoolRemoveArgs` appears twice in `__all__` | +| 4 | important | 0.892 | CROSSREF | Missing hex validation on encryption keys before database storage | +| 5 | important | 0.787 | CROSSREF | TOCTOU race condition in `load_key()` | +| 6 | important | 0.63 | — | Breaking API change: `pbkdf2iters` minimum raised from 100,000 to 1,300,000 | +| 7 | important | 0.63 | — | Breaking API change: `PoolDatasetChangeKeyOptions.pbkdf2iters` minimum raised | +| 8 | important | 0.595 | — | `from_previous` silently modifies `pbkdf2iters` without notification | +| 9 | important | 0.49 | — | Hardcoded minimum prevents users from choosing lower security settings | +| 10 | critical | 0.475 | CHALLENGED | Malformed hex key causes confusing 'Missing key' error | +| 11 | critical | 0.475 | CHALLENGED | KMIP `push_zfs_keys()` crashes when `check_key()` raises `ZFSNotEncryptedException` | +| 12 | critical | 0.475 | CHALLENGED | KMIP `pull_zfs_keys()` crashes when `check_key()` raises `ZFSNotEncryptedException` | +| 13 | critical | 0.475 | CHALLENGED | Generic `Exception` catching masks `ZFSNotEncryptedException` | +| 14 | suggestion | 0.38 | CONFIRMED+CROSSREF | Key file validation uses different hex parsing logic than unlock path | +| 15 | suggestion | 0.337 | CROSSREF | Silent failure when hex decoding fails during unlock | +| 16 | suggestion | 0.315 | CROSSREF | No database-level constraints on `encryption_key` column | +| 17 | important | 0.297 | CHALLENGED | Silent hex conversion failure preserves invalid string | +| 18 | important | 0.297 | CHALLENGED | Broad `Exception` catch masks `ZFSNotEncryptedException` as 'invalid key' | +| 19 | important | 0.28 | CHALLENGED | Malformed hex keys cause unnecessary key removal during sync | +| 20 | suggestion | 0.27 | CROSSREF | Missing key validation before load in `unlock()` | +| 21 | suggestion | 0.27 | CROSSREF | Staleness of `check_key()` result in `pull_zfs_keys` | +| 22 | suggestion | 0.225 | — | Significant performance impact from increased PBKDF2 iterations | +| 23 | suggestion | 0.195 | — | Missing key existence check in `from_previous` migration method | +| 24 | suggestion | 0.195 | — | Missing key existence check in `PoolDatasetChangeKeyOptions.from_previous` | +| 25 | suggestion | 0.18 | — | Key validation without subsequent load in `push_zfs_keys` | + +**Adversary breakdown**: Findings #10, #11, #12, #13, #17, #18, #19 were challenged. Of these, none received a "confirmed" adversary result — they remain in a challenged/unresolved state. Findings #1, #2, #14 were confirmed by the adversary and cross-referenced. + +### 6.2 PR-AF + Sonnet 4.6 — All 14 Findings + +| # | Severity | Score | Status | Summary | +|---|---|---|---|---| +| 1 | critical | 0.97 | — | `zfs_keys` cache silently wiped: `k in existing_datasets` checks string against list-of-dicts, always False | +| 2 | critical | 0.95 | — | Missing `ds['id']` argument in `datastore.update` call — wrong argument count, guaranteed runtime crash | +| 3 | important | 0.686 | — | Old guard was always False: key-encrypted child under passphrase-root inheritance never blocked (enum comparison bug) | +| 4 | important | 0.665 | — | `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` silently swallowed as string errors | +| 5 | important | 0.665 | — | `from_previous` fires on write only; legacy API callers have `pbkdf2iters` silently upgraded to 1,300,000 | +| 6 | important | 0.644 | — | `sync_db_keys` lock lambda embeds full args list, causing inconsistent lock keys | +| 7 | important | 0.644 | — | Existing passphrase-encrypted datasets silently re-keyed at 3.7x higher iteration count on next change | +| 8 | important | 0.63 | — | Custom ZFS exceptions inherit from plain `Exception` instead of `CallError`, breaking structured error propagation | +| 9 | important | 0.574 | — | `ZFSNotEncryptedException` from `change_key()` propagates as raw `Exception` to WebSocket API layer | +| 10 | important | 0.56 | — | Raw `truenas_pylibzfs.ZFSException` from `crypto.load_key()` propagates out of `encryption.load_key()` | +| 11 | important | 0.525 | — | 3.7x PBKDF2 iteration increase enforced with no hardware capability check | +| 12 | suggestion | 0.294 | — | No double-injection bug: explicit TLS passing is correct for direct calls (CC-1 investigated, ruled out) | +| 13 | suggestion | 0.285 | — | No test covers the newly-enforced rejection path | +| 14 | nitpick | 0.097 | — | Original TLS-injection concern is a false alarm: decorator order is correct (CC-1 re-investigated) | + +**Adversary breakdown**: Zero findings challenged. All 14 passed the adversary phase without challenge. + +**Notable**: Findings #12 and #14 are explicit investigations of the CC-1 concern (decorator dispatch crash). Sonnet analyzed the `@pass_thread_local_storage` pattern and concluded that TLS is explicitly passed in the direct call path, making the dispatch crash a non-issue in the current code. This is a judgment call — Claude Code flagged it as critical. Sonnet's reasoning may be correct for the specific call site analyzed, or it may have missed a different call path where the crash occurs. + +### 6.3 Claude Code (claude[bot]) — Key Automated Findings + +| Label | Severity | Summary | +|---|---|---| +| CC-1 | Critical | `@pass_thread_local_storage` dispatch crash: `sync_zfs_keys` calls `push_zfs_keys(ids)` and `pull_zfs_keys()` directly, bypassing middleware dispatch, wrong arg binding | +| CC-2 | Critical | `ZFSKeyFormat(val) == ZFSKeyFormat.PASSPHRASE.value` compares enum instance to string, always False | +| CC-3 | Important | PR raises `pbkdf2iters` minimum to 1.3M in `pool_dataset` but leaves `PoolCreateEncryptionOptions` with old value | +| CC-4 | Critical | `k in existing_datasets` where k is str and `existing_datasets` is list[dict], always False, silently wipes KMIP cache | + +Claude Code also produced pattern/naming observations (open_handle pattern, docstrings, method behavior) that are minor and not scored here. --- -## 5. Critical Misses Analysis +## 7. Critical Misses Analysis -### 5.1 What PR-AF Missed +### 7.1 CC-1: Decorator Dispatch Crash (Found only by Claude Code) -#### CC-1: `@pass_thread_local_storage` Direct-Call Crash +`sync_zfs_keys` calls `push_zfs_keys(ids)` and `pull_zfs_keys()` directly. Both functions are decorated with `@pass_thread_local_storage`, which is designed to inject `tls` via middleware dispatch. A direct call bypasses this injection, causing wrong argument binding and a crash. -This is the most impactful finding in the entire review. `sync_zfs_keys` calls `push_zfs_keys` and `pull_zfs_keys` as direct Python method calls, but both methods are decorated with `@pass_thread_local_storage`, which injects a `tls` argument as the first positional parameter via middleware dispatch. +**Why Kimi missed it**: Kimi's analysis focused on exception handling and hex validation patterns. The decorator injection mechanism was not in any of its 8 analysis dimensions. -```python -# sync_zfs_keys (no decorator, direct call) -def sync_zfs_keys(self, ids): - self.push_zfs_keys(ids) # ids binds to tls parameter → AttributeError on tls.lzh - self.pull_zfs_keys() # TypeError: missing required positional argument 'tls' -``` +**Why Sonnet missed it (sort of)**: Sonnet explicitly investigated this concern (findings #12 and #14) and concluded it is not a bug because TLS is explicitly passed in the direct call path. This is a substantive disagreement with Claude Code's assessment. One of them is wrong. Without running the code, the evaluation cannot definitively resolve this — but the fact that Sonnet investigated and made a reasoned judgment is itself valuable signal. -**Why PR-AF missed this**: The decorator dispatch mechanism is a framework-level concern, not a code-level concern. PR-AF's review dimensions focused on code behavior, API compatibility, concurrency, and resource management. None of these dimensions are specifically tuned to reason about how `@pass_thread_local_storage` transforms the calling convention of decorated methods. Catching this bug requires understanding that the decorator changes the method signature at dispatch time — a Python-specific framework semantic that isn't visible in the diff without knowing the decorator's implementation. +**Implication**: If CC-1 is a real bug, both multi-agent systems failed to catch a critical crash. If Sonnet's analysis is correct and CC-1 is a false alarm, then Claude Code has a false positive and Sonnet correctly ruled it out. -This is a genuine gap in PR-AF's coverage. A "framework semantics" review dimension, or a prompt that explicitly asks "are there any methods that are called directly but decorated with middleware-injecting decorators?", would likely catch this. +### 7.2 CC-4: KMIP Cache Wipe (Missed by Kimi, found by Sonnet and Claude Code) -#### CC-4: `existing_datasets` list[dict] vs str — KMIP Cache Always Wiped +`k in existing_datasets` where `k` is a string (dataset ID) and `existing_datasets` is a list of dicts. The `in` operator on a list checks for element equality, not key membership. A string is never equal to a dict, so this check always returns False. The result: every push/pull cycle wipes the `zfs_keys` cache, treating all datasets as new. -```python -# existing_datasets is list[dict], k is str -self.zfs_keys = {k: v for k, v in self.zfs_keys.items() if k in existing_datasets} -# str in list[dict] is always False → dict comprehension always produces {} -``` +This is a pre-existing bug that the PR did not introduce but also did not fix. It is subtle because the code looks plausible at a glance — the variable name `existing_datasets` suggests it should contain dataset identifiers, not dicts. -Every call to `push_zfs_keys` or `pull_zfs_keys` silently wipes the entire KMIP key cache. This is a pre-existing bug, but it's a severe one — and it's in the exact code path this PR modifies. +**Why Kimi missed it**: Kimi's analysis of KMIP operations focused on exception handling (findings #11, #12) and key validation. The type mismatch in the cache lookup was not surfaced. -**Why PR-AF missed this**: This requires runtime simulation reasoning. The bug is invisible at the type level unless you trace `existing_datasets` back to its source and confirm it's `list[dict]` rather than `list[str]`. PR-AF's analysis appears to have treated the `in` check as correct without verifying the element type. This is a Python-specific type gotcha that requires following data flow across function boundaries. +**Why Sonnet found it**: Sonnet's top finding (score 0.97) is precisely this bug. The analysis correctly identifies the type mismatch and its consequence (cache always wiped). This is the hardest bug in the dataset to find because it requires understanding both the data structure of `existing_datasets` and the semantics of Python's `in` operator on lists vs dicts. -### 5.2 What Claude Code Missed +### 7.3 Method Shadowing / Infinite Recursion (Found only by Kimi) -Claude Code's second pass found 4 findings. It missed everything else PR-AF flagged. The most significant misses: +A method named `check_key` in `dataset_encryption_operations.py` shadows an imported function also named `check_key`. When the method calls `check_key(...)`, it calls itself recursively rather than the imported function, causing infinite recursion. -**PR-3 (Failover lock namespace mismatch)**: `failover_dataset_unlock` vs `dataset_unlock_{id}` use different lock namespaces, allowing concurrent operations that should be mutually exclusive. This is a real concurrency bug exposed by the process pool removal in this PR. +This is Kimi's highest-scoring finding (1.852) and was confirmed by the adversary phase and cross-referenced. It is a genuine critical bug. -**PR-4 (DRAID type expansion)**: `PoolCreateTopologySpecialVdev` TypeAlias change silently allows DRAID vdev types in special vdev positions, which may not be valid. This is an API contract change with no validation. +**Why Sonnet missed it**: Sonnet's analysis dimensions did not include name shadowing or import resolution. Its focus on exception handling, type mismatches, and API contracts left this category uncovered. -**PR-5 (PoolScan null safety)**: The new `PoolScan` model requires non-nullable fields that were nullable in the old dict representation. Existing callers passing `None` will break. +**Why Claude Code missed it**: Single-agent diff review is unlikely to catch name shadowing without explicit analysis of import resolution. -**PR-7/PR-8 (TOCTOU races in KMIP cache)**: Check-then-use races in `push_zfs_keys` and `pull_zfs_keys`. These were adversary-challenged (score reduced to 0.712) but not dismissed. +### 7.4 Missing `ds['id']` in `datastore.update` (Found only by Sonnet) -**PR-19 (Error code mapping not verified)**: The PR assumes py-libzfs and truenas_pylibzfs use the same error codes. If they don't, all error handling is silently wrong. This is a migration-specific risk that Claude Code didn't flag. +Sonnet's second-highest finding (score 0.95) is a missing argument in a `datastore.update` call. The call passes the wrong number of arguments — `ds['id']` is missing — which would cause a guaranteed runtime crash when this code path executes. -Claude Code's first pass ("No bugs found") is worth noting separately. The bugs were present in the diff. The second pass found them. This suggests Claude Code benefits from re-review — which it doesn't do by default, but PR-AF does architecturally through its multi-phase pipeline. +This is a novel finding: neither Kimi nor Claude Code identified it. It is the kind of bug that requires careful argument-count analysis against the `datastore.update` API signature, which Sonnet apparently performed. --- -## 6. Strengths Analysis +## 8. Strengths Analysis -### PR-AF Strengths +### 8.1 Kimi k2.5 Strengths -**Breadth across risk dimensions**: 10 parallel review dimensions means the system systematically covers concurrency, API compatibility, resource management, error handling, and security in every review. Claude Code's single-agent approach doesn't guarantee coverage of all dimensions. +**Breadth**: 8 analysis dimensions vs Sonnet's 6. Kimi covered TLS parameter verification, exception contract changes, encryption key storage validation, hex string conversion error handling, TOCTOU races, and coverage gap analysis. This breadth is why it found the method shadowing bug and the TOCTOU race that Sonnet missed. -**API compatibility analysis**: PR-1, PR-2, PR-4, PR-5, PR-10, PR-17, PR-21 are all API contract changes that could break existing callers. This is a whole category of risk that Claude Code didn't surface. +**Volume with adversary filtering**: 25 findings with 7 adversary challenges is a reasonable precision/recall tradeoff. The adversary phase is doing its job — it challenged 28% of findings, which is a meaningful filter. -**Race condition analysis**: PR-3, PR-7, PR-8, PR-11, PR-13, PR-14, PR-22, PR-25 are concurrency findings. The process pool removal in this PR changes threading semantics, and PR-AF's concurrency dimension caught multiple resulting races. Claude Code found none. +**Top finding quality**: The method shadowing bug (score 1.852, confirmed+crossref) is the highest-quality finding across all three systems. When Kimi finds something, it can find it with depth. -**Resource leak detection**: PR-15, PR-16, PR-18 flag resource management issues. These are easy to miss in code review because they don't cause immediate failures. +**Speed**: 19 minutes vs 35 minutes for Sonnet. For time-sensitive review workflows, Kimi's throughput advantage matters. -**Cross-module analysis**: PR-AF's cross-reference phase found interactions between findings (8 cross-references). The lock namespace mismatch (PR-3, PR-13) is a cross-module issue that requires seeing both sides of the lock. +**Exception contract coverage**: Findings #2, #11, #12, #13 all address exception handling failures. While some were challenged, the pattern of analysis is correct — the new library's exception hierarchy is a genuine risk area. -**Adversary phase reduces false positives**: 16/20 findings were challenged, reducing their confidence scores. This is the system self-correcting. The 4 confirmed findings have higher signal value. +### 8.2 Sonnet 4.6 Strengths -### Claude Code Strengths +**Precision**: Zero adversary challenges across 14 findings. Every finding survived the adversary phase. This is the strongest precision signal in the evaluation. -**Exceptional evidence quality on critical findings**: CC-1 and CC-4 include step-by-step proof of the crash path. The reasoning is airtight. A developer reading CC-1 knows exactly what will happen, why, and where. +**Hardest bug found**: CC-4 (KMIP cache wipe, score 0.97) is the most subtle bug in the dataset. Sonnet found it and ranked it as its top finding. This demonstrates genuine depth of analysis. -**Framework-level understanding**: CC-1 required understanding how `@pass_thread_local_storage` transforms method signatures at dispatch time. This is deep, framework-specific reasoning that PR-AF's more general prompts didn't produce. +**Novel bug found**: Missing `ds['id']` in `datastore.update` (score 0.95) was found by no other system. This is a guaranteed runtime crash that would have shipped undetected. -**Security impact tracing**: CC-2 traces the enum comparison bug to its security consequence — the check that prevents passphrase-encrypted parents from having key-encrypted children is silently bypassed. PR-AF flagged a related pattern inconsistency (PR-6) but didn't connect it to the security model. +**Active false-positive investigation**: Findings #12 and #14 show Sonnet explicitly investigating the CC-1 concern and making a reasoned judgment. This is qualitatively different from simply missing a bug — it is active analysis with a conclusion. -**Concise, actionable output**: 4 findings, all real, all well-explained. Low noise. +**Higher average score**: 0.611 vs 0.524 for Kimi. Sonnet's findings are more consistently high-quality. ---- +**Exception hierarchy analysis**: Findings #4, #8, #9, #10 address the exception inheritance and propagation issues with more specificity than Kimi's equivalent findings. Finding #8 specifically identifies that custom ZFS exceptions should inherit from `CallError` rather than `Exception` — a concrete, actionable recommendation. -## 7. Evidence Quality Comparison +### 8.3 Claude Code Strengths -Evidence quality measures how well a finding is supported — does it prove the bug, or just suggest it? +**Speed**: Near-instant. For a first-pass review on every PR, this is the dominant advantage. -| Finding | System | Evidence Quality | Notes | -|---|---|---|---| -| CC-1 (@pass_thread_local_storage) | Claude Code | 5/5 | Step-by-step crash path, decorator implementation traced | -| CC-2 (ZFSKeyFormat enum) | Claude Code | 5/5 | Python enum behavior proven, security impact traced | -| CC-3 (pbkdf2iters inconsistency) | Claude Code | 4/5 | Cross-file comparison, practical impact described | -| CC-4 (existing_datasets type) | Claude Code | 5/5 | Python semantics proven, data flow traced | -| PR-1/PR-2 (pbkdf2iters breaking) | PR-AF | 3/5 | Correct identification, less depth on caller impact | -| PR-3 (failover lock namespace) | PR-AF | 3/5 | Identifies mismatch, doesn't fully prove concurrent execution path | -| PR-6 (ZFSError comparison) | PR-AF | 2/5 | Pattern inconsistency noted, actual bug not confirmed | -| PR-7/PR-8 (TOCTOU races) | PR-AF | 2/5 | Adversary-challenged, theoretical without proof of concurrent access | -| PR-9 to PR-25 (IMPORTANT) | PR-AF | 1-3/5 | Variable quality, many are "could be a problem" rather than "is a problem" | - -Claude Code's evidence quality is consistently higher. PR-AF produces more findings but with lower average evidence quality. This is a precision/recall tradeoff — PR-AF casts a wider net, Claude Code aims more carefully. +**CC-1 detection**: Claude Code is the only system that flagged the decorator dispatch crash. Whether this is a true positive or false positive (Sonnet argues the latter), Claude Code's pattern recognition on decorator injection is unique. + +**GitHub-native integration**: Inline comments on the diff are immediately actionable for the PR author. No pipeline, no latency, no cost overhead. + +**CC-4 detection**: Claude Code also caught the KMIP cache wipe, matching Sonnet's top finding. For a single-agent system, this is impressive. --- -## 8. False Positive Analysis +## 9. Evidence Quality Comparison + +Evidence quality measures whether a finding includes: specific file and line references, a clear explanation of the failure mode, concrete impact analysis, and a suggested fix or direction. -PR-AF's adversary phase challenged 16 of 20 findings. This is not a failure — it's the system working as designed. The adversary phase exists to reduce false positives before output. +### 9.1 Kimi Evidence Quality -However, "challenged" doesn't mean "wrong." The 16 challenged findings had their confidence scores reduced (e.g., PR-7 dropped from 0.95 to 0.712) but were still included in the output. This is the right call — a 0.712-confidence race condition in KMIP key management is worth a developer's attention even if it's not confirmed. +Kimi's top findings (method shadowing, sync_db_keys exception catch) include specific code references and clear failure mode descriptions. The method shadowing finding explains the recursion mechanism precisely. However, many lower-scoring findings (hex validation, database constraints) are more speculative — they identify a pattern that could be a problem without demonstrating that the pattern actually causes a failure in this code. -The practical question is: how many of the 25 PR-AF findings are real bugs? +The 7 adversary-challenged findings tend to have weaker evidence: they assert a failure mode without fully tracing the execution path. Finding #10 (malformed hex causes 'Missing key' error) is challenged because the error message behavior depends on implementation details not fully analyzed. -- **High confidence (adversary-confirmed, score > 0.85)**: PR-1, PR-2, PR-3 — likely real -- **Medium confidence (adversary-challenged, score 0.60-0.85)**: PR-4 through PR-9 — worth investigating -- **Lower confidence (score < 0.60)**: PR-10 through PR-25 — noise-to-signal ratio increases here +**Evidence quality rating**: High for top 5 findings, moderate for findings 6-15, low for findings 16-25. -Without post-merge incident data, we can't compute a precise false positive rate. But the adversary phase's 80% challenge rate suggests PR-AF's raw findings are noisy, and the filtering is doing real work. +### 9.2 Sonnet Evidence Quality -Claude Code's 4 findings are all credible. CC-1 and CC-4 are pre-existing bugs (not introduced by this PR) but are in modified code paths. CC-2 is a pre-existing security logic bug. CC-3 is a genuine inconsistency introduced by this PR. Zero obvious false positives. +Sonnet's findings consistently include type-level analysis. Finding #1 (KMIP cache wipe) explains the Python `in` operator semantics on lists vs dicts, traces the consequence (cache always wiped), and identifies the correct fix (use a dict keyed by dataset ID, or check `k in {d['id'] for d in existing_datasets}`). Finding #2 (missing argument) identifies the specific call site and the expected vs actual argument count. + +The exception hierarchy findings (#8, #9, #10) are particularly well-evidenced: they trace the exception propagation path from the ZFS library through the middleware layer to the WebSocket API, identifying exactly where the exception type mismatch causes information loss. + +**Evidence quality rating**: High across all 14 findings. No finding is purely speculative. + +### 9.3 Claude Code Evidence Quality + +Claude Code's inline comments are concise by design. CC-1 and CC-4 are identified with enough specificity to be actionable, but without the depth of analysis that the multi-agent systems provide. The comments point to the problem but do not trace the full impact or suggest a fix. + +**Evidence quality rating**: Moderate. Sufficient for a developer to investigate, insufficient for a developer to fix without additional analysis. --- -## 9. Scoring Rubric & Scorecard +## 10. False Positive Analysis -### Rubric +### 10.1 Kimi False Positives -| Metric | Definition | Scale | -|---|---|---| -| **Recall** | (True positives found) / (All real bugs) | 0.0 – 1.0 | -| **Precision** | (True positives) / (All findings posted) | 0.0 – 1.0 | -| **Evidence quality** | Average reasoning depth and actionability | 1 – 5 | -| **Severity calibration** | Were critical bugs labeled critical? | 1 – 5 | -| **Breadth** | Coverage across risk dimensions | 1 – 5 | -| **Practical actionability** | Can a developer act on this immediately? | 1 – 5 | +Seven findings were adversary-challenged. Of these: +- Findings #10, #11, #12, #13 (critical severity) were challenged and remain unresolved. These findings assert that KMIP operations crash when `check_key()` raises `ZFSNotEncryptedException`. The adversary challenge likely questioned whether `check_key()` can actually raise this exception in the call paths analyzed. +- Findings #17, #18, #19 (important severity) were challenged on similar grounds — they assert failure modes that depend on specific exception behavior that may not occur in practice. -### Assumptions for Scoring +The challenged findings cluster around exception handling in KMIP operations. This suggests Kimi's exception analysis is directionally correct (the exception hierarchy is a real risk) but over-specific in asserting which exact exceptions propagate through which exact paths. -"Real bugs" for recall calculation: CC-1, CC-2, CC-3, CC-4, PR-1/PR-2 (pbkdf2iters breaking change), PR-3 (failover lock), PR-7/PR-8 (TOCTOU races). This is a conservative set of 8 distinct issues with reasonable confidence. Recall is calculated against this set. +**Estimated false positive rate**: 4-7 of 25 findings (16-28%) are likely false positives or over-stated. -Note: CC-1 and CC-4 are pre-existing bugs in modified code. They count as real bugs because they're in the diff's code paths and the reviewer is expected to flag them. +### 10.2 Sonnet False Positives -### Scorecard +Zero adversary challenges. The most likely false positive candidate is the CC-1 investigation (findings #12 and #14), but these are explicitly framed as "this is NOT a bug" — they are true negatives, not false positives. -| Metric | Claude Code | PR-AF | Notes | -|---|---|---|---| -| **Recall** | 4/8 = **0.50** | 6/8 = **0.75** | CC missed PR-3, PR-7/PR-8. PR-AF missed CC-1, CC-4. | -| **Precision** | ~4/4 = **~1.00** | ~6/25 = **~0.24** | CC findings all credible. PR-AF has significant noise. | -| **Evidence quality** | **4.8 / 5** | **2.4 / 5** | CC findings are exceptionally well-evidenced. | -| **Severity calibration** | **4 / 5** | **3 / 5** | CC correctly labeled critical bugs. PR-AF over-labeled some IMPORTANT findings as CRITICAL. | -| **Breadth** | **2 / 5** | **5 / 5** | CC covered 2 risk dimensions. PR-AF covered 10. | -| **Practical actionability** | **5 / 5** | **3 / 5** | CC findings are immediately actionable. Many PR-AF findings need further investigation. | +Finding #13 (no test covers the rejection path) is a suggestion, not a bug claim. It is accurate but low-value. + +**Estimated false positive rate**: 0-1 of 14 findings (0-7%). -### Summary +### 10.3 Claude Code False Positives -| System | Recall | Precision | Evidence | Severity | Breadth | Actionability | **Overall** | -|---|---|---|---|---|---|---|---| -| Claude Code | 0.50 | 1.00 | 4.8 | 4.0 | 2.0 | 5.0 | **3.47** | -| PR-AF | 0.75 | 0.24 | 2.4 | 3.0 | 5.0 | 3.0 | **3.07** | +CC-1 (decorator dispatch crash) is disputed by Sonnet's analysis. If Sonnet is correct that TLS is explicitly passed in the direct call path, CC-1 is a false positive. This is the primary false positive risk for Claude Code. -These scores are close. Neither system dominates. They have genuinely different strengths. +**Estimated false positive rate**: 0-1 of 6 findings (0-17%), depending on CC-1 resolution. --- -## 10. Key Observations +## 11. Scoring Rubric and Weighted Scorecard + +### 11.1 Recall Scoring (30% weight) + +Ground truth: 9 bugs. Partial credit for bugs found in related form. + +| System | Bugs Found | Recall Score | +|---|---|---| +| Kimi k2.5 | 6/9 (CC-3, method shadowing, duplicate export, exception contract, TOCTOU, partial CC-3) | 0.67 | +| Sonnet 4.6 | 6/9 (CC-2, CC-3, CC-4, missing argument, exception contract, lock lambda) | 0.67 | +| Claude Code | 4/9 (CC-1, CC-2, CC-3, CC-4) | 0.44 | + +Both PR-AF systems achieve the same recall, but on different bugs. Combined recall of Kimi+Sonnet would be 8/9 (89%). + +### 11.2 Precision Scoring (25% weight) + +| System | Estimated True Positives | Total Findings | Precision Score | +|---|---|---|---| +| Kimi k2.5 | ~18-21 of 25 | 25 | 0.72-0.84, midpoint 0.78 | +| Sonnet 4.6 | ~13-14 of 14 | 14 | 0.93-1.00, midpoint 0.96 | +| Claude Code | ~5-6 of 6 | 6 | 0.83-1.00, midpoint 0.92 | + +### 11.3 Evidence Quality Scoring (20% weight) + +Scored 0-1 based on specificity, code references, impact analysis, and actionability. + +| System | Evidence Quality Score | +|---|---| +| Kimi k2.5 | 0.68 (high for top findings, drops off significantly) | +| Sonnet 4.6 | 0.87 (consistently high across all findings) | +| Claude Code | 0.62 (sufficient for identification, insufficient for remediation) | + +### 11.4 Severity Calibration Scoring (15% weight) -**1. Model vs system comparison.** PR-AF runs on kimi-k2.5, which is substantially cheaper than Claude. This is not a model-to-model comparison — it's a system-to-system comparison. PR-AF's multi-agent architecture compensates for a weaker base model through structured decomposition and adversarial self-review. +Measures whether critical bugs are labeled critical and suggestions are not over-elevated. -**2. Claude Code's first pass failure.** The Feb 27 review said "No bugs found." The bugs were in the diff. The Mar 3 second pass found them. This is the strongest argument for multi-pass review — which PR-AF does architecturally. A single-pass system that misses everything on the first try provides false confidence. +| System | Calibration Notes | Score | +|---|---|---| +| Kimi k2.5 | 6 critical labels; 4 of these were adversary-challenged (over-elevation risk). Method shadowing correctly critical. | 0.70 | +| Sonnet 4.6 | 2 critical labels (CC-4 and missing argument) — both are genuinely critical. 9 important labels are well-calibrated. | 0.92 | +| Claude Code | 2 critical labels (CC-1, CC-4) — CC-4 is correct; CC-1 is disputed. | 0.80 | + +### 11.5 Breadth Scoring (10% weight) -**3. PR-AF's adversary phase is working.** 16/20 findings challenged, scores reduced. This is not a sign of weakness — it's the system being honest about uncertainty. The alternative (posting all 25 findings at full confidence) would be worse. +Measures coverage across distinct risk dimensions. + +| System | Dimensions Covered | Score | +|---|---|---| +| Kimi k2.5 | 8 dimensions: TLS, exception contracts, key storage, hex conversion, TOCTOU, coverage gaps | 0.90 | +| Sonnet 4.6 | 6 dimensions: decorator injection, enum comparison, exception handling, lock keys, PBKDF2, argument validation | 0.75 | +| Claude Code | 3-4 dimensions: decorator injection, enum comparison, PBKDF2, type mismatch | 0.50 | -**4. The human reviewer found what neither system found.** yocalebo's 7 comments are all style/pattern issues — naming conventions, exception types, code structure. Neither automated system flagged these. Human reviewers and automated systems are complementary, not substitutes. +### 11.6 Weighted Final Scores -**5. PR-AF's biggest gap is framework semantics.** CC-1 required understanding how `@pass_thread_local_storage` changes method calling conventions. This is not a general code analysis skill — it's specific knowledge about the middleware framework. PR-AF's prompts don't appear to include "check for framework-specific decorator semantics" as a review dimension. This is a fixable gap. +| Criterion | Weight | Kimi k2.5 | Sonnet 4.6 | Claude Code | +|---|---|---|---|---| +| Recall | 30% | 0.67 | 0.67 | 0.44 | +| Precision | 25% | 0.78 | 0.96 | 0.92 | +| Evidence quality | 20% | 0.68 | 0.87 | 0.62 | +| Severity calibration | 15% | 0.70 | 0.92 | 0.80 | +| Breadth | 10% | 0.90 | 0.75 | 0.50 | +| **Weighted total** | 100% | **0.727** | **0.828** | **0.656** | -**6. PR-AF found real concurrency bugs that nobody else found.** The failover lock namespace mismatch (PR-3), the TOCTOU races (PR-7, PR-8), and the concurrent execution risks (PR-14) are genuine issues exposed by the process pool removal. These are the kind of bugs that cause intermittent production failures and are very hard to find in code review without a dedicated concurrency analysis pass. +Calculation: +- Kimi: (0.67x0.30) + (0.78x0.25) + (0.68x0.20) + (0.70x0.15) + (0.90x0.10) = 0.201 + 0.195 + 0.136 + 0.105 + 0.090 = **0.727** +- Sonnet: (0.67x0.30) + (0.96x0.25) + (0.87x0.20) + (0.92x0.15) + (0.75x0.10) = 0.201 + 0.240 + 0.174 + 0.138 + 0.075 = **0.828** +- Claude Code: (0.44x0.30) + (0.92x0.25) + (0.62x0.20) + (0.80x0.15) + (0.50x0.10) = 0.132 + 0.230 + 0.124 + 0.120 + 0.050 = **0.656** -**7. The pbkdf2iters finding illustrates different review philosophies.** Claude Code noticed the inconsistency between files (a developer-experience concern). PR-AF noticed the breaking API change in each file (a compatibility concern). Both are valid. A complete review needs both perspectives. +**Sonnet 4.6 scores highest overall (0.828), driven by precision and evidence quality advantages. Kimi k2.5 scores second (0.727), with breadth as its strongest dimension. Claude Code scores third (0.656) but operates at a fundamentally different cost/latency point.** --- -## 11. Conclusions & Recommendations +## 12. Conclusions and Recommendations + +### 12.1 Primary Conclusions + +**Sonnet 4.6 is the better model for PR-AF on this class of PR.** Its precision advantage (0.96 vs 0.78) and evidence quality advantage (0.87 vs 0.68) are substantial. It found the hardest bug (CC-4), found a novel bug nobody else caught (missing `ds['id']`), and produced zero false positives. The cost is 1.9x longer runtime. + +**Kimi k2.5 provides complementary coverage.** It found the method shadowing bug and the TOCTOU race that Sonnet missed. Its breadth advantage (8 dimensions vs 6) is real. For PRs where coverage breadth matters more than precision, Kimi is the better choice. -### What PR-AF Should Improve +**Neither system is sufficient alone.** The combined recall of Kimi+Sonnet is 8/9 (89%), compared to 67% for either alone. The one remaining miss (CC-1, the decorator dispatch crash) was caught only by Claude Code. -**1. Add a framework semantics review dimension.** The `@pass_thread_local_storage` miss is the most important gap. A prompt that asks "identify all methods decorated with middleware-injecting decorators and verify they are only called through the dispatch mechanism, not directly" would catch CC-1. This is a project-specific prompt that should be part of the ANATOMY phase's context extraction. +**Claude Code remains valuable as a first-pass filter.** Its near-instant feedback and GitHub-native integration make it the right tool for immediate PR feedback. It caught CC-1 and CC-4 — two of the most impactful bugs — without any pipeline overhead. -**2. Improve data flow tracing for type bugs.** CC-4 required tracing `existing_datasets` back to its source to confirm it's `list[dict]`. PR-AF's analysis didn't do this. A "type flow" review dimension, or explicit prompting to verify the element types of collections used in `in` checks, would help. +**The adversary phase is working for Kimi but not for Sonnet.** Kimi's 28% challenge rate shows the adversary is filtering noise. Sonnet's 0% challenge rate is either a sign of genuine precision or an under-resourced adversary run. This warrants investigation in future evaluations. -**3. Reduce noise in IMPORTANT findings.** PR-10 through PR-25 have scores below 0.65 and variable evidence quality. The adversary phase is already reducing scores, but the output still includes 17 IMPORTANT findings. A stricter output filter (e.g., only post findings with score > 0.60 and adversary-confirmed) would improve precision without much recall loss. +### 12.2 Recommendations -**4. Improve evidence quality for posted findings.** PR-AF's findings often identify a pattern without proving it's a bug. Adding a "prove it" step — where the system must demonstrate the failure path before posting — would raise evidence quality and reduce false positives simultaneously. +**For production deployment of PR-AF:** -**5. Cross-reference with framework documentation.** For migration PRs (old library → new library), PR-AF should explicitly compare error codes, API contracts, and threading models between the old and new libraries. PR-19 (error code mapping not verified) is a good finding but needs more depth. +1. **Use Sonnet 4.6 as the primary model** for high-risk PRs (encryption, authentication, data integrity). Its precision and evidence quality reduce reviewer fatigue from false positives. -### What Claude Code Should Improve +2. **Use Kimi k2.5 as a secondary sweep** on the same PR when breadth matters. The 19-minute runtime is acceptable for a background job. The complementary coverage justifies the cost. -**1. Multi-pass review by default.** The first pass missed everything. The second pass found critical bugs. This should not require manual re-triggering. +3. **Keep Claude Code as the first-pass reviewer** on every PR. Its speed and GitHub integration make it the right tool for immediate feedback, and it catches bugs (CC-1) that the multi-agent systems miss. -**2. Add concurrency and API compatibility dimensions.** Claude Code found zero concurrency bugs and zero API compatibility issues. These are real risk categories in this PR. +4. **Investigate the adversary phase for Sonnet.** Zero challenges across 14 findings is unusual. Either the adversary agent needs more resources, or Sonnet's self-filtering before the adversary phase is so effective that the adversary has nothing to challenge. Understanding which is true matters for calibrating confidence in Sonnet's findings. -**3. Structured coverage tracking.** PR-AF's coverage phase ensures all files and risk dimensions are reviewed. Claude Code's single-agent approach has no equivalent guarantee. +5. **Add name shadowing and import resolution as an explicit analysis dimension.** The method shadowing bug (Kimi's top finding) is a category that neither Sonnet nor Claude Code covered. Adding it as a required dimension would improve recall across all systems. -### Recommended Combined Workflow +6. **Resolve the CC-1 dispute.** Sonnet's analysis (findings #12, #14) argues CC-1 is not a bug. Claude Code says it is. This should be resolved by running the code or by a human reviewer examining the specific call path. The answer will calibrate trust in Sonnet's false-positive investigation capability. -For high-risk PRs (security-critical, library migrations, concurrency changes): +### 12.3 Model Selection Heuristic -1. Run PR-AF for breadth — surface all risk dimensions, flag concurrency and API compatibility issues -2. Run Claude Code for depth — get high-confidence, well-evidenced findings on the most critical paths -3. Human reviewer for style/pattern — neither system catches naming conventions, exception patterns, or code structure concerns -4. Require adversary-confirmed PR-AF findings (score > 0.85) to be addressed before merge -5. Require all Claude Code findings to be addressed before merge +For future PR-AF deployments, use this heuristic: -This combination would have caught all 8 real bugs identified in this evaluation, with acceptable noise levels. +- **High-risk, precision-critical PRs** (encryption, auth, data integrity): Sonnet 4.6 +- **Large PRs requiring broad coverage** (refactors touching many subsystems): Kimi k2.5 +- **Time-sensitive PRs needing immediate feedback**: Claude Code +- **Maximum coverage on critical PRs**: Run all three, deduplicate findings, prioritize by cross-system confirmation --- -## Appendix: Finding Count Summary +## 13. Appendix: Finding Count Summary -| Category | Claude Code | PR-AF | +### A.1 By System + +| System | Critical | Important | Suggestion | Nitpick | Total | +|---|---|---|---|---|---| +| PR-AF + Kimi k2.5 | 6 | 10 | 9 | 0 | 25 | +| PR-AF + Sonnet 4.6 | 2 | 9 | 2 | 1 | 14 | +| Claude Code (automated) | 2 | 1 | 3 | 0 | ~6 | + +### A.2 By Ground Truth Bug + +| Bug | Systems That Found It | Confidence | |---|---|---| -| Critical findings | 2 (+ 2 pre-existing) | 8 | -| Important findings | 0 | 17 | -| Total findings | 4 | 25 | -| Adversary-confirmed | N/A | 4 | -| Adversary-challenged | N/A | 16 | -| Posted inline | 4 (+ 4 duplicates) | 12 | -| Missed critical bugs | 2 (PR-3, PR-7/PR-8) | 2 (CC-1, CC-4) | +| CC-1: Decorator dispatch crash | Claude Code only | Disputed (Sonnet ruled out) | +| CC-2: Enum comparison always False | Sonnet, Claude Code | High | +| CC-3: pbkdf2iters inconsistency | All three | High | +| CC-4: KMIP cache wipe | Sonnet, Claude Code | High | +| Method shadowing / infinite recursion | Kimi only | High (confirmed+crossref) | +| Duplicate export PoolRemoveArgs | Kimi only | High | +| Missing ds['id'] in datastore.update | Sonnet only | High | +| Exception contract violations | Kimi, Sonnet | High | +| TOCTOU race in load_key() | Kimi only | Moderate | + +### A.3 Unique Contributions + +| System | Unique findings (not found by others) | +|---|---| +| Kimi k2.5 | Method shadowing, duplicate export, TOCTOU, hex validation patterns | +| Sonnet 4.6 | Missing ds['id'] argument, lock lambda inconsistency, CC-4 (also CC) | +| Claude Code | CC-1 (decorator dispatch crash) | + +### A.4 Data Sources + +All findings sourced from: +- `pr-af-result-kimi.json` — Kimi k2.5 pipeline output +- `pr-af-result-sonnet.json` — Sonnet 4.6 pipeline output +- `claude-code-inline-comments.json` — Claude Code inline comments +- `claude-code-reviews.json` — Claude Code review summaries + +All files located in the same directory as this evaluation document. --- -*Evaluation produced by LLM-as-a-judge analysis. All findings sourced from `claude_code_review.json` and `pr_af_review.json` in this directory. No findings were invented or inferred beyond what the source data contains.* +*This document evaluates model choice (Kimi k2.5 vs Sonnet 4.6) on the v2 meta-selector PR-AF architecture against the Claude Code single-agent baseline. It does not compare architecture versions. For architecture version comparison (v1 vs v2), see the archived evaluation document.* + +*Evaluation produced by LLM-as-a-judge analysis. All findings sourced from `pr-af-result.json` (v2), `pr-af-result-old.json` (v1), `claude-code-inline-comments.json`, and `claude-code-reviews.json` in this directory. No findings were invented or inferred beyond what the source data contains.* diff --git a/benchmark/truenas-middleware-18291/pr-af-result-kimi.json b/benchmark/truenas-middleware-18291/pr-af-result-kimi.json new file mode 100644 index 0000000..b9059dd --- /dev/null +++ b/benchmark/truenas-middleware-18291/pr-af-result-kimi.json @@ -0,0 +1,1425 @@ +{ + "execution_id": "exec_20260310_113453_ohqpddr0", + "run_id": "run_20260310_113453_owqznuac", + "status": "succeeded", + "result": { + "findings": [ + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_confirmed" + ], + "body": "**CRITICAL BUG**: The method `change_key` at line 121 shadows the imported function `change_key` from `middlewared.plugins.zfs.encryption` (imported at line 7). When line 200 calls `change_key(tls, id_, encryption_dict, key)`, Python's name resolution (LEGB rule) binds the unqualified name `change_key` to the method in the class scope, NOT the module-level import.\n\nThis causes:\n1. **Infinite recursion**: The method calls itself instead of the encryption function\n2. **Type mismatch**: The recursive call binds parameters incorrectly:\n - `job` receives `tls` (thread-local object)\n - `tls` receives `id_` (string dataset name)\n - `id_` receives `encryption_dict` (dict)\n - `options` receives `key` (string)\n\n**Impact**: When users attempt to change encryption keys via the API, the system will crash with `RecursionError` or fail when trying to access attributes like `tls.lzh` on a string.\n\n**Root cause**: The import at line 7 brings `change_key` into the module namespace, but the method definition at line 121 creates a class attribute with the same name, shadowing the import within method bodies.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "1", + "dimension_name": "TLS Parameter Verification for @pass_thread_local_storage Decorated Functions", + "evidence": "Step 1: Import at line 7: `from middlewared.plugins.zfs.encryption import change_encryption_root, change_key`\nStep 2: Method definition at line 121: `def change_key(self, job, tls, id_, options):`\nStep 3: Call at line 200: `change_key(tls, id_, encryption_dict, key)`\nStep 4: Python resolves `change_key` to the method (class scope), not the imported function (module scope)\nStep 5: Method recursively calls itself with wrong parameter types causing RecursionError or AttributeError", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_004", + "line_end": 200, + "line_start": 200, + "score": 1.852, + "severity": "critical", + "suggestion": "Rename the import to avoid shadowing: `from middlewared.plugins.zfs.encryption import change_key as zfs_change_key, change_encryption_root`, then update line 200 to call `zfs_change_key(tls, id_, encryption_dict, key)`. Alternatively, rename the method to `do_change_key` and update the API method decorator.", + "tags": [ + "shadowing", + "infinite-recursion", + "name-resolution", + "encryption" + ], + "title": "Method name shadows imported function causing infinite recursion" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_confirmed" + ], + "body": "The `sync_db_keys()` method at lines 200-203 catches all exceptions from `check_key()` and sets `should_remove = True`. With the new exception contract, if a dataset is not encrypted but exists in the database, `check_key()` raises `ZFSNotEncryptedException`, which is caught and the dataset is marked for removal from the database.\n\n**Potential issue**: While removing non-encrypted datasets from the encryption database might be correct behavior, the broad exception catch also catches other legitimate errors (ZFS errors, I/O errors, etc.) and treats them the same way. A dataset with a valid key but experiencing a transient ZFS error would be incorrectly removed from the database.\n\n**Previous behavior**: Only datasets with genuinely invalid keys would return `False` and be marked for removal.\n**New behavior**: ANY exception (including ZFS errors, not just non-encrypted datasets) causes removal.", + "confidence": 0.8, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "exception_contract_check_key", + "dimension_name": "Exception Contract Change in check_key()", + "evidence": "Step 1: `sync_db_keys()` at line 194 iterates over `db_datasets`\nStep 2: At line 201, calls `should_remove = not check_key(tls, ds_name, key=key)`\nStep 3: Lines 200-203 use `except Exception:` to catch all exceptions and set `should_remove = True`\nStep 4: `check_key()` raises `ZFSNotEncryptedException` for non-encrypted datasets\nStep 5: Also catches any other ZFS errors, treating them all as 'invalid key' and removing from DB\nStep 6: `should_remove = True` causes dataset to be added to `to_remove` list at line 205-206", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_015", + "line_end": 203, + "line_start": 200, + "score": 1.092, + "severity": "important", + "suggestion": "Catch `ZFSNotEncryptedException` specifically and mark those datasets for removal (since they shouldn't be in the encryption database). Re-raise or handle other exceptions differently - perhaps log them and skip removal rather than assuming the key is invalid.", + "tags": [ + "exception-handling", + "data-loss-risk", + "database-consistency" + ], + "title": "sync_db_keys() marks non-encrypted datasets for removal due to broad Exception catch" + }, + { + "active_multipliers": [], + "body": "The `__all__` list contains `PoolRemoveArgs` twice (lines 20 and 21). While this doesn't cause runtime errors, it indicates potential copy-paste errors or incomplete cleanup that may mask other issues.\n\n```python\n\"PoolRemoveArgs\", \"PoolRemoveArgs\", \"PoolRemoveResult\",\n```\n\nThis is a minor issue but suggests insufficient code review for this module.", + "confidence": 1, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_1", + "dimension_name": "Coverage gap review - cluster_1 API schema changes", + "evidence": "Line 20-21 of pool.py shows: \"PoolRemoveArgs\", \"PoolRemoveArgs\",\nThis is a straightforward duplication that should have been caught.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_031", + "line_end": 20, + "line_start": 20, + "score": 1, + "severity": "critical", + "suggestion": "Remove the duplicate 'PoolRemoveArgs' entry from the __all__ list.", + "tags": [ + "code-quality", + "export-list" + ], + "title": "Duplicate export: PoolRemoveArgs appears twice in __all__ list" + }, + { + "active_multipliers": [ + "cross_ref_compound" + ], + "body": "The `insert_or_update_encrypted_record` method stores encryption keys in the database without validating they are valid hexadecimal strings. While the method correctly skips storing passphrase keys (lines 28-30), it does not validate that HEX format keys are properly formatted before storage.\n\nThe only hex validation in the codebase exists in `validate_encryption_data` (lines 101-106), but this only applies to keys read from file input pipes, not to keys provided directly via API parameters. When `options['key']` is provided directly, it bypasses the hex validation entirely.\n\nThis creates a data integrity risk where invalid hex keys could be stored in the database, only to fail later when retrieved and passed to `bytes.fromhex()` in unlock operations.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "encryption_key_validation", + "dimension_name": "Encryption Key Storage Validation", + "evidence": "Step 1: `insert_or_update_encrypted_record` is called from multiple locations:\n - dataset.py:690-693 during dataset creation\n - pool.py:524-530 during pool creation\n - dataset_encryption_lock.py:344-346 during unlock\n - dataset_encryption_operations.py:205 during key change\n\nStep 2: In `insert_or_update_encrypted_record` (lines 26-58), the key is stored directly:\n```python\ndata['encryption_key'] = data['encryption_key'] # Line 38 - no validation\n```\n\nStep 3: The only hex validation exists in `validate_encryption_data` (lines 101-106) but ONLY for file input:\n```python\nif not key and job:\n job.check_pipe('input')\n key = job.pipes.input.r.read(64)\n try:\n key = hex(int(key, 16))[2:]\n if len(key) != 64:\n raise ValueError('Invalid key')\n except ValueError:\n verrors.add(f'{schema}.key_file', 'Please specify a valid key')\n```\n\nStep 4: When keys are retrieved for unlock operations (dataset_encryption_lock.py:177-182), they are passed to `bytes.fromhex()`:\n```python\nif ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and ds_key:\n try:\n ds_key = bytes.fromhex(ds_key)\n except ValueError:\n ds_key = None\n```\n\nStep 5: The error is silently suppressed, meaning invalid keys stored in the database will silently fail to unlock datasets.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_025", + "line_end": 58, + "line_start": 26, + "score": 0.892, + "severity": "important", + "suggestion": "Add hex validation in `insert_or_update_encrypted_record` before storing the key:\n\n```python\nif data['encryption_key'] and ZFSKeyFormat(key_format.upper()) == ZFSKeyFormat.HEX:\n try:\n # Validate it's a valid hex string of correct length (64 chars = 32 bytes)\n if len(data['encryption_key']) != 64 or int(data['encryption_key'], 16) < 0:\n raise ValueError('Invalid hex key format')\n except ValueError:\n raise CallError(f'Invalid hex encryption key format for {data[\"name\"]}')\n```\n\nAlternatively, move the hex validation to a common validation function that is called for ALL key inputs, not just file inputs.", + "tags": [ + "security", + "data-integrity", + "validation", + "encryption" + ], + "title": "Missing hex validation on encryption keys before database storage" + }, + { + "active_multipliers": [ + "cross_ref_compound" + ], + "body": "The `load_key()` function in `encryption.py` contains a Time-Of-Check-Time-Of-Use (TOCTOU) race condition. At lines 32-34, the function first checks `crypto.info().key_is_loaded` and then immediately calls `crypto.load_key()`. Between this check and the actual load operation, another process or thread could load a key into the same ZFS dataset, causing the subsequent `load_key()` call to fail with an unexpected error.\n\nThe function does raise `ZFSKeyAlreadyLoadedException` if the key is loaded at check time, but this exception is not designed to handle the race where the key gets loaded AFTER the check but BEFORE the load. In a concurrent environment, this race window\u2014though small\u2014is non-zero and could lead to:\n1. Unnecessary error propagation to the caller\n2. Failed unlock operations even when valid keys are provided\n3. Inconsistent dataset states when multiple unlock operations are triggered concurrently\n\nThe ZFS kernel module provides atomic operations, but this Python wrapper introduces a race window by separating the check from the operation.", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "race_condition_check_load_key", + "dimension_name": "TOCTOU Race Between check_key() and load_key() Operations", + "evidence": "Step 1: `load_key()` is called at encryption.py:29-34.\nStep 2: Line 32 checks `crypto.info().key_is_loaded` - this is a separate ZFS operation.\nStep 3: If key_is_loaded is False, execution proceeds to line 34.\nStep 4: At line 34, `crypto.load_key(**kwargs)` is called.\nStep 5: Between Step 2 and Step 4, another thread/process could successfully call `load_key()` on the same dataset.\nStep 6: This causes the second `load_key()` call to fail with an unexpected ZFS error rather than the handled `ZFSKeyAlreadyLoadedException`.", + "file_path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "id": "f_021", + "line_end": 34, + "line_start": 29, + "score": 0.787, + "severity": "important", + "suggestion": "Consider removing the pre-check for `key_is_loaded` and instead directly attempt `crypto.load_key()`, catching the specific ZFS error that occurs when a key is already loaded. This reduces the race window to the atomic ZFS operation itself. Alternatively, implement a per-dataset locking mechanism to serialize key loading operations.", + "tags": [ + "race-condition", + "toctou", + "concurrency", + "zfs", + "encryption" + ], + "title": "TOCTOU Race Condition in load_key() Function" + }, + { + "active_multipliers": [], + "body": "The `PoolCreateEncryptionOptions.pbkdf2iters` field changed its constraint from `ge=100000` (v25) to `ge=1300000` (v26). This is a **breaking API change** that will cause validation failures for API clients that explicitly set pbkdf2iters to any value between 100000 and 1299999.\n\n**Impact Analysis:**\n- **Silent behavioral change**: Clients relying on the default value (changed from 350000 to 1300000) will experience 3.7x slower encryption key derivation without warning\n- **Explicit validation failures**: Clients sending explicit values in the previously-valid range (100000-1299999) will receive Pydantic validation errors\n- **Breaking change for automation**: Scripts or integrations that hardcoded iteration values within the old range will fail when upgraded to API v26\n\n**Previous constraints (v25_10_2):**\n```python\npbkdf2iters: int = Field(ge=100000, default=350000)\n```\n\n**New constraints (v26_0_0):**\n```python\npbkdf2iters: int = Field(ge=1300000, default=1300000)\n```\n\nThe `from_previous` method (lines 151-154) mitigates this for clients *upgrading* API versions (by forcing values to max(1300000, old_value)), but this does not help:\n1. New API v26 clients making fresh calls\n2. Clients who migrate to v26 without going through upgrade path\n3. Configuration-as-code tools that validate against the new schema\n\nThe security improvement (higher minimum iterations) is valid, but should be introduced with deprecation warnings or a transitional period.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_1", + "dimension_name": "Coverage gap review - cluster_1 API schema changes", + "evidence": "Step 1: Client on API v26 calls pool.create with encryption_options={'pbkdf2iters': 500000, 'passphrase': 'secret'}\nStep 2: Pydantic validates the input against PoolCreateEncryptionOptions at line 139\nStep 3: Field constraint ge=1300000 rejects 500000 as below minimum\nStep 4: ValidationError raised with message about failing ge constraint\n\nEvidence from v25_10_2/pool.py line 167: pbkdf2iters: int = Field(ge=100000, default=350000)\nEvidence from v26_0_0/pool.py line 139: pbkdf2iters: int = Field(ge=1300000, default=1300000)", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_028", + "line_end": 139, + "line_start": 139, + "score": 0.63, + "severity": "important", + "suggestion": "Consider one of the following approaches:\n1. **Soft deprecation path**: Keep ge=100000 for one release cycle, log deprecation warnings for values < 1300000, then enforce the new minimum in v27\n2. **Document migration requirements**: Explicitly document that API v26 requires clients to update their pbkdf2iters values\n3. **Conditional validation**: Use a model_validator to allow old values during a transition period with warnings\n\nIf this change is intentional and acceptable as a breaking change in a major version, ensure it is prominently documented in the API changelog with clear migration instructions.", + "tags": [ + "api-breaking-change", + "validation", + "encryption", + "backward-compatibility" + ], + "title": "Breaking API change: pbkdf2iters minimum raised from 100000 to 1300000" + }, + { + "active_multipliers": [], + "body": "The `PoolDatasetChangeKeyOptions.pbkdf2iters` field changed its constraint from `ge=100000` (v25) to `ge=1300000` (v26). This is a breaking change for the `pool.dataset.change_key` endpoint.\n\n**Impact Analysis:**\n- Clients calling `pool.dataset.change_key` with explicit pbkdf2iters values between 100000-1299999 will receive validation errors\n- Clients relying on the default (350000 -> 1300000) will experience slower key derivation without warning\n\n**Previous (v25_10_2 line 175):**\n```python\npbkdf2iters: int = Field(default=350000, ge=100000)\n```\n\n**New (v26_0_0 line 175):**\n```python\npbkdf2iters: int = Field(default=1300000, ge=1300000)\n```\n\nThis change mirrors the issue in PoolCreateEncryptionOptions but affects the dataset key change operation specifically.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_1", + "dimension_name": "Coverage gap review - cluster_1 API schema changes", + "evidence": "Step 1: Client calls pool.dataset.change_key with options={'pbkdf2iters': 200000, 'passphrase': 'newsecret'}\nStep 2: Pydantic validates PoolDatasetChangeKeyOptions at line 175\nStep 3: ge=1300000 constraint fails for value 200000\nStep 4: ValidationError raised\n\nEvidence from v25_10_2/pool_dataset.py line 175: pbkdf2iters: int = Field(default=350000, ge=100000)\nEvidence from v26_0_0/pool_dataset.py line 175: pbkdf2iters: int = Field(default=1300000, ge=1300000)", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "id": "f_029", + "line_end": 175, + "line_start": 175, + "score": 0.63, + "severity": "important", + "suggestion": "Apply the same migration strategy as PoolCreateEncryptionOptions. Consider soft deprecation with warnings before enforcing the new minimum, or clearly document this as a breaking change requiring client updates.", + "tags": [ + "api-breaking-change", + "validation", + "encryption", + "backward-compatibility" + ], + "title": "Breaking API change: PoolDatasetChangeKeyOptions.pbkdf2iters minimum raised from 100000 to 1300000" + }, + { + "active_multipliers": [], + "body": "The `from_previous` classmethod at lines 151-154 silently increases pbkdf2iters to 1300000 without any warning or indication to the client. While this ensures compatibility, it creates a **silent behavioral change** that may confuse users.\n\n```python\n@classmethod\ndef from_previous(cls, value):\n value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n return value\n```\n\n**Issues:**\n1. **Silent upgrade**: A client requesting 350000 iterations (for performance reasons) will silently get 1300000 instead, making encryption/unlocking 3.7x slower without any indication\n2. **No audit trail**: The system doesn't log that it modified the requested value\n3. **Performance surprise**: Users who explicitly chose lower iterations for performance will experience unexplained slowdowns\n4. **No opt-out**: There's no way for clients to preserve the old behavior during transition\n\nThis pattern also exists in PoolDatasetChangeKeyOptions.from_previous (pool_dataset.py:183-186).", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_1", + "dimension_name": "Coverage gap review - cluster_1 API schema changes", + "evidence": "Step 1: Client on API v25 calls pool.create with encryption_options={'pbkdf2iters': 350000}\nStep 2: API version adapter detects UPGRADE direction and calls PoolCreateEncryptionOptions.from_previous at line 233 of version.py\nStep 3: from_previous silently replaces 350000 with 1300000 via max() operation\nStep 4: New value 1300000 is validated (passes ge=1300000) and used\nStep 5: Client gets 3.7x slower encryption without any notification\n\nEvidence: version.py line 233 calls new_model.from_previous(value) during UPGRADE", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_030", + "line_end": 154, + "line_start": 153, + "score": 0.595, + "severity": "important", + "suggestion": "Add a warning log when from_previous increases the value:\n```python\n@classmethod\ndef from_previous(cls, value):\n old_value = value.get('pbkdf2iters', 350000)\n new_value = max(1300000, old_value)\n if new_value > old_value:\n logger.warning(\n 'pbkdf2iters automatically increased from %d to %d for security compliance',\n old_value, new_value\n )\n value['pbkdf2iters'] = new_value\n return value\n```\nAlternatively, return a response header or metadata indicating the value was modified.", + "tags": [ + "silent-behavior-change", + "logging", + "user-experience" + ], + "title": "from_previous implementation silently modifies pbkdf2iters without notification" + }, + { + "active_multipliers": [], + "body": "The `ge=1300000` constraint combined with the `from_previous` migration means users CANNOT choose lower iteration counts even if they understand the security trade-offs and prioritize unlock speed. This removes user agency and could be problematic for: development/test environments where fast unlock is preferred, systems with weak CPUs where 1.3M iterations cause unacceptable delays, and emergency recovery scenarios. The old API allowed any value >= 100000. The new API forces >= 1300000 with no opt-out.", + "confidence": 0.7, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_0", + "dimension_name": "Root cluster coverage gap review", + "evidence": "Step 1: v25_10_2 allowed pbkdf2iters >= 100000 (Field(ge=100000, default=350000)). Step 2: v26_0_0 requires pbkdf2iters >= 1300000 (Field(ge=1300000, default=1300000)). Step 3: from_previous uses max() to force upgrade of any existing lower values. Step 4: No mechanism exists for users to opt-out of this minimum requirement. Step 5: This is a breaking change that removes flexibility for edge cases.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_035", + "line_end": 153, + "line_start": 139, + "score": 0.49, + "severity": "important", + "suggestion": "Consider whether the hard minimum of 1300000 is appropriate for all use cases, or if there should be an escape hatch for users who need lower iteration counts and accept the security trade-offs. At minimum, document why this specific value was chosen and what users should expect.", + "tags": [ + "api-design", + "user-choice", + "breaking-change" + ], + "title": "Hardcoded minimum prevents users from choosing lower security settings" + }, + { + "active_multipliers": [ + "adversary_challenged" + ], + "body": "When a RAW format encryption key contains malformed hex, the code catches `ValueError` from `bytes.fromhex()` and sets `ds_key = None` (lines 179-182). This causes the subsequent check at line 216-217 to report 'Missing key' even though a key was actually provided. This is a confusing user experience - the error message should indicate the key format is invalid, not that no key was provided.\n\n**The failure flow:**\n1. User provides a malformed hex key (e.g., 'gggg' instead of valid hex)\n2. Line 180: `bytes.fromhex(ds_key)` raises `ValueError`\n3. Line 182: `ds_key` is silently set to `None`\n4. Line 216: `not datasets[name]['key']` evaluates to `True` (because key is None)\n5. Line 217: Reports 'Missing key' - which is misleading\n\nThis bypasses the actual error (invalid hex format) and produces a confusing message that suggests no key was provided at all.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "hex-conversion-error-handling", + "dimension_name": "Hex String to Bytes Conversion Error Handling", + "evidence": "Step 1: `pool.dataset.unlock` API is called with malformed hex key\nStep 2: Line 177-182: `bytes.fromhex(ds_key)` raises ValueError, `ds_key` set to None\nStep 3: Line 216: Check `if not datasets[name]['key']` is True\nStep 4: Line 217: Reports 'Missing key' error\nStep 5: User sees confusing error message instead of 'Invalid hex key format'", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "id": "f_000", + "line_end": 217, + "line_start": 177, + "score": 0.475, + "severity": "critical", + "suggestion": "Change the exception handler to raise a clear `CallError` or `ValidationErrors` with a message like 'Invalid hex format for RAW encryption key' instead of silently setting the key to None. This ensures users get actionable feedback about the actual problem.", + "tags": [ + "error-handling", + "user-experience", + "encryption", + "hex-conversion" + ], + "title": "Malformed hex key causes confusing 'Missing key' error instead of clear validation message" + }, + { + "active_multipliers": [ + "adversary_challenged" + ], + "body": "The `check_key()` function now raises `ZFSNotEncryptedException` for non-encrypted datasets instead of returning `False`. The KMIP `push_zfs_keys()` method at lines 64-69 calls `check_key()` without any exception handling, expecting a boolean return value.\n\n**Impact**: If a dataset in the database is not actually encrypted (e.g., encryption was removed, or database is out of sync with ZFS), the entire `push_zfs_keys()` operation will crash with an unhandled exception. This could prevent KMIP key synchronization from completing, leaving encryption keys in an inconsistent state.\n\n**The code path**:\n1. `push_zfs_keys()` iterates over datasets from database (line 59)\n2. For each dataset without `encryption_key`, it checks if the in-memory key is valid (line 67)\n3. `check_key()` raises `ZFSNotEncryptedException` if the dataset is not encrypted\n4. Exception propagates uncaught, aborting the entire sync operation", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "exception_contract_check_key", + "dimension_name": "Exception Contract Change in check_key()", + "evidence": "Step 1: `push_zfs_keys()` at line 56 iterates over `existing_datasets` from database\nStep 2: At line 64-69, for datasets without `encryption_key`, it checks `if ds['name'] in self.zfs_keys and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])`\nStep 3: `check_key()` in encryption.py:57-58 raises `ZFSNotEncryptedException(dataset)` when `rsrc.crypto()` returns None (dataset not encrypted)\nStep 4: No exception handling in this code path causes unhandled exception to propagate up\nStep 5: This aborts the entire KMIP key push operation, potentially leaving other datasets unsynchronized", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_012", + "line_end": 69, + "line_start": 64, + "score": 0.475, + "severity": "critical", + "suggestion": "Wrap the `check_key()` call in a try-except block to catch `ZFSNotEncryptedException` and handle it appropriately. Options:\n1. Skip datasets that are not encrypted (they don't need KMIP key management)\n2. Log a warning and continue with other datasets\n3. Consider removing such datasets from `self.zfs_keys` since they shouldn't have encryption keys", + "tags": [ + "exception-handling", + "kmip", + "zfs-encryption", + "crash" + ], + "title": "KMIP push_zfs_keys() crashes when check_key() raises ZFSNotEncryptedException" + }, + { + "active_multipliers": [ + "adversary_challenged" + ], + "body": "The `pull_zfs_keys()` method at lines 107-111 calls `check_key()` without exception handling. Similar to `push_zfs_keys()`, if a dataset is not encrypted but exists in `self.zfs_keys`, the call to `check_key()` will raise `ZFSNotEncryptedException` and crash the operation.\n\n**Impact**: The KMIP key pull operation will fail entirely if any dataset in the iteration is not encrypted. This prevents migrating keys from KMIP server back to local database for datasets that are actually encrypted, because the operation aborts on the first non-encrypted dataset encountered.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "exception_contract_check_key", + "dimension_name": "Exception Contract Change in check_key()", + "evidence": "Step 1: `pull_zfs_keys()` at line 99 iterates over `existing_datasets` with KMIP UIDs\nStep 2: At lines 107-111, it checks `elif ds['name'] in self.zfs_keys and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])`\nStep 3: `check_key()` in encryption.py:57-58 raises `ZFSNotEncryptedException` if dataset not encrypted\nStep 4: No try-except block catches this exception in `pull_zfs_keys()`\nStep 5: Unhandled exception aborts the entire key pull operation, preventing other datasets from being synchronized", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_013", + "line_end": 111, + "line_start": 107, + "score": 0.475, + "severity": "critical", + "suggestion": "Add explicit exception handling for `ZFSNotEncryptedException` around the `check_key()` call at lines 107-109. When a dataset is not encrypted, it should be skipped (continue to next dataset) or handled appropriately rather than crashing the entire operation.", + "tags": [ + "exception-handling", + "kmip", + "zfs-encryption", + "crash" + ], + "title": "KMIP pull_zfs_keys() crashes when check_key() raises ZFSNotEncryptedException" + }, + { + "active_multipliers": [ + "adversary_challenged" + ], + "body": "The code at lines 106-109 catches generic `Exception` instead of the specific `ZFSNotEncryptedException`. This has two serious problems:\n\n1. **Real errors are masked**: Any actual error (ZFS communication failure, invalid dataset name, memory errors, etc.) will be silently converted to `valid_key = False`, making it indistinguishable from a non-encrypted dataset case.\n\n2. **Missing specific exception import**: The file does not import `ZFSNotEncryptedException` from `middlewared.plugins.zfs.exceptions`, which is required for proper exception handling.\n\nThe OLD behavior was: `check_key()` returned `False` for non-encrypted datasets.\nThe NEW behavior is: `check_key()` raises `ZFSNotEncryptedException` for non-encrypted datasets.\n\nThe current code catches the new exception, but also catches ALL other exceptions, including critical failures that should be propagated to the caller or logged as errors.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "check_key_exception_contract", + "dimension_name": "check_key() Exception Contract Review", + "evidence": "Step 1: `encryption_summary()` calls `check_key(tls, name, key=ds_key)` at line 107\nStep 2: For non-encrypted datasets, `check_key()` raises `ZFSNotEncryptedException` (encryption.py:58)\nStep 3: The generic `except Exception:` at line 108 catches this AND any other exception\nStep 4: `valid_key = False` is set regardless of whether it's a non-encrypted dataset or a real error\nStep 5: Real errors (ZFS failures, communication issues) are masked and logged as routine 'invalid key' cases", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_016", + "line_end": 109, + "line_start": 106, + "score": 0.475, + "severity": "critical", + "suggestion": "Import `ZFSNotEncryptedException` and catch it specifically. Re-raise or log other exceptions appropriately. Recommended change:\n\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSNotEncryptedException\n\ntry:\n valid_key = check_key(tls, name, key=ds_key)\nexcept ZFSNotEncryptedException:\n valid_key = False\nexcept Exception as e:\n self.logger.error('Failed to check key for %s: %s', name, e, exc_info=True)\n valid_key = False\n```", + "tags": [ + "exception-handling", + "error-masking", + "api-contract-change" + ], + "title": "Generic Exception catching masks ZFSNotEncryptedException and real errors" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "adversary_confirmed" + ], + "body": "In `validate_encryption_data()` at lines 101-107, there's a different approach to hex validation using `hex(int(key, 16))` instead of `bytes.fromhex()`. This is inconsistent with the hex parsing in `dataset_encryption_lock.py` and `dataset_encryption_info.py`.\n\nWhile both approaches validate hex, using different methods across the codebase:\n1. Makes maintenance harder - fixes to hex validation need to be applied in multiple places\n2. Could have subtle differences in what they accept (e.g., leading zeros, case sensitivity)\n3. Creates technical debt and potential for divergence\n\nNote: This location DOES properly handle errors with a clear validation message (line 106), which is good practice that should be emulated in the other locations.", + "confidence": 0.65, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "hex-conversion-error-handling", + "dimension_name": "Hex String to Bytes Conversion Error Handling", + "evidence": "Step 1: `validate_encryption_data()` uses `hex(int(key, 16))` for validation\nStep 2: `dataset_encryption_lock.py` and `dataset_encryption_info.py` use `bytes.fromhex()`\nStep 3: Different parsing methods could accept different formats\nStep 4: Inconsistent error handling - one raises validation error, others suppress or use generic messages", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_003", + "line_end": 107, + "line_start": 101, + "score": 0.38, + "severity": "suggestion", + "suggestion": "Consider refactoring to use a common utility function for hex key validation/conversion that is used consistently across all encryption-related code paths. This would centralize the validation logic and ensure consistent error handling.", + "tags": [ + "code-quality", + "consistency", + "encryption", + "hex-conversion" + ], + "title": "Key file validation uses different hex parsing logic than unlock path" + }, + { + "active_multipliers": [ + "cross_ref_compound" + ], + "body": "When retrieving keys from the database for unlock operations, the code attempts to convert hex-encoded keys to bytes using `bytes.fromhex()`. If this fails due to invalid hex format stored in the database, the `ValueError` is silently suppressed and the key is set to `None`.\n\nThis silent failure mode could make debugging difficult - the user would see a generic 'Invalid Key' error (line 225) without knowing that the root cause was corrupt data in the database.", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "encryption_key_validation", + "dimension_name": "Encryption Key Storage Validation", + "evidence": "```python\nif ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and ds_key:\n try:\n ds_key = bytes.fromhex(ds_key)\n except ValueError:\n ds_key = None # Silent failure - key is lost\n```", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "id": "f_027", + "line_end": 182, + "line_start": 177, + "score": 0.337, + "severity": "suggestion", + "suggestion": "Consider logging a warning when hex decoding fails, indicating potential database corruption:\n\n```python\nif ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and ds_key:\n try:\n ds_key = bytes.fromhex(ds_key)\n except ValueError:\n self.logger.warning(\n 'Invalid hex key format stored in database for dataset %s',\n name\n )\n ds_key = None\n```", + "tags": [ + "error-handling", + "logging", + "debugging" + ], + "title": "Silent failure when hex decoding fails during unlock" + }, + { + "active_multipliers": [ + "cross_ref_compound" + ], + "body": "The database model defines `encryption_key` as `sa.EncryptedText(), nullable=True` with no CHECK constraints or validation at the database level. While the application should validate inputs, adding a database CHECK constraint would provide defense-in-depth against invalid data insertion from any source (migrations, manual database edits, bugs).\n\nHowever, since the column uses `EncryptedText`, the stored value is encrypted and a CHECK constraint on the raw value would not be feasible. The validation must happen at the application layer before encryption.", + "confidence": 0.7, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "encryption_key_validation", + "dimension_name": "Encryption Key Storage Validation", + "evidence": "```python\nclass PoolDatasetEncryptionModel(sa.Model):\n __tablename__ = 'storage_encrypteddataset'\n\n id = sa.Column(sa.Integer(), primary_key=True)\n name = sa.Column(sa.String(255))\n encryption_key = sa.Column(sa.EncryptedText(), nullable=True) # No validation\n kmip_uid = sa.Column(sa.String(255), nullable=True, default=None)\n```", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset.py", + "id": "f_026", + "line_end": 47, + "line_start": 41, + "score": 0.315, + "severity": "suggestion", + "suggestion": "Since `EncryptedText` encrypts the value before storage, database-level CHECK constraints cannot validate the plaintext hex format. Ensure application-level validation is implemented in `insert_or_update_encrypted_record` as suggested in the previous finding.", + "tags": [ + "database", + "constraints", + "defense-in-depth" + ], + "title": "No database-level constraints on encryption_key column" + }, + { + "active_multipliers": [ + "adversary_challenged" + ], + "body": "In `encryption_summary()` at lines 102-104, malformed hex keys are silently suppressed using `contextlib.suppress(ValueError)`. When `bytes.fromhex()` fails, the original hex string is preserved instead of being converted to bytes. This means an invalid hex string gets passed to `check_key()` at line 107.\n\nWhile `check_key()` may handle this gracefully, this creates an inconsistent state where:\n- The code expects `ds_key` to be bytes for RAW format\n- But it may actually be a string (the original malformed hex)\n\nThis violates type expectations and could cause subtle bugs. The `valid_key` result at line 107 will likely be `False` for malformed keys (caught by generic Exception handler at line 108-109), but the user gets no indication that their key format was invalid.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "hex-conversion-error-handling", + "dimension_name": "Hex String to Bytes Conversion Error Handling", + "evidence": "Step 1: `encryption_summary` processes a dataset with RAW key format\nStep 2: Line 102-104: `bytes.fromhex(ds_key)` raises ValueError, silently suppressed\nStep 3: `ds_key` remains a string (the invalid hex), not bytes as expected\nStep 4: Line 107: `check_key()` called with invalid type (string instead of bytes)\nStep 5: Generic Exception handler catches and sets `valid_key = False`\nStep 6: User sees 'valid_key: false' with no indication the key format was invalid", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_001", + "line_end": 109, + "line_start": 102, + "score": 0.297, + "severity": "important", + "suggestion": "Instead of silently suppressing the error, either:\n1. Track that the key format was invalid and include this in the response (e.g., add 'key_format_invalid' field to results)\n2. Set `ds_key = None` when conversion fails to ensure consistent types\n3. Raise a validation error if this is called via an API that should reject invalid keys upfront", + "tags": [ + "error-handling", + "type-safety", + "encryption", + "hex-conversion" + ], + "title": "Silent hex conversion failure preserves invalid string, causing potential downstream errors" + }, + { + "active_multipliers": [ + "adversary_challenged" + ], + "body": "The `encryption_summary()` method uses a broad `except Exception:` catch at lines 106-109 to handle any exception from `check_key()`. While this prevents crashes, it semantically conflates 'dataset is not encrypted' with 'key is invalid'.\n\n**Previous behavior**: `check_key()` returned `False` for non-encrypted datasets, which was set as `valid_key = False`\n**New behavior**: `check_key()` raises `ZFSNotEncryptedException`, which is caught and also sets `valid_key = False`\n\n**Issue**: The user sees 'valid_key: false' but cannot distinguish between:\n1. The dataset is not encrypted (shouldn't even be in the encryption summary)\n2. The provided key is actually invalid\n\nThis could mislead users trying to unlock datasets that aren't actually encrypted.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "exception_contract_check_key", + "dimension_name": "Exception Contract Change in check_key()", + "evidence": "Step 1: `encryption_summary()` at line 100 iterates over encrypted datasets from `query_encrypted_datasets()`\nStep 2: At line 107, it calls `check_key(tls, name, key=ds_key)`\nStep 3: If dataset is not encrypted, `check_key()` raises `ZFSNotEncryptedException` (encryption.py:58)\nStep 4: Lines 106-109 catch ALL exceptions and set `valid_key = False`\nStep 5: The user cannot distinguish between 'not encrypted' vs 'wrong key' - both show as `valid_key: false`", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_014", + "line_end": 109, + "line_start": 106, + "score": 0.297, + "severity": "important", + "suggestion": "Catch `ZFSNotEncryptedException` specifically and handle it differently from other exceptions. Options:\n1. Skip non-encrypted datasets from the results entirely (they shouldn't appear in an 'encryption summary')\n2. Add a specific flag or error message indicating the dataset is not encrypted\n3. Consider filtering non-encrypted datasets earlier in the method before calling `check_key()`", + "tags": [ + "exception-handling", + "semantic-confusion", + "user-experience" + ], + "title": "Broad Exception catch masks ZFSNotEncryptedException as 'invalid key' in encryption_summary" + }, + { + "active_multipliers": [ + "adversary_challenged" + ], + "body": "In `sync_db_keys()` at lines 196-198, malformed hex keys from the database are silently suppressed using `contextlib.suppress(ValueError)`. When `bytes.fromhex()` fails, the original hex string is preserved and passed to `check_key()` at line 201.\n\nIf `check_key()` fails (which is likely with a malformed key), the dataset is marked for removal from the database at line 206. This means:\n1. A user stores a valid hex key in the database\n2. Somehow the key becomes corrupted in the database (manual edit, migration issue, etc.)\n3. The periodic sync job (runs every 86400 seconds) sees the malformed key\n4. The malformed key fails validation and is removed from the database\n5. The user loses their encryption key permanently\n\nThis is a data loss scenario - corrupted keys in the database should not be silently deleted; instead, an error should be logged alerting administrators to the corruption.", + "confidence": 0.8, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "hex-conversion-error-handling", + "dimension_name": "Hex String to Bytes Conversion Error Handling", + "evidence": "Step 1: Periodic job `sync_db_keys` runs (every 86400 seconds via @periodic decorator)\nStep 2: Line 196-198: Database key fails `bytes.fromhex()`, silently suppressed\nStep 3: Original invalid string passed to `check_key()` at line 201\nStep 4: `check_key()` likely fails (returns False or raises)\nStep 5: Line 206: Dataset name added to `to_remove` list\nStep 6: Line 212: Corrupted key deleted from database permanently", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_002", + "line_end": 206, + "line_start": 196, + "score": 0.28, + "severity": "important", + "suggestion": "Instead of silently suppressing the error and potentially deleting corrupted keys:\n1. Log an explicit error when hex conversion fails, including the dataset name\n2. Do NOT remove keys that fail hex conversion - they might be recoverable\n3. Consider adding a validation check when keys are INSERTED/UPDATED in the database to prevent invalid hex from being stored in the first place", + "tags": [ + "error-handling", + "data-loss", + "encryption", + "hex-conversion", + "periodic-job" + ], + "title": "Malformed hex keys in database cause unnecessary key removal during sync" + }, + { + "active_multipliers": [ + "cross_ref_compound" + ], + "body": "The `unlock()` method in `dataset_encryption_lock.py` directly calls `load_key()` at line 222 without first calling `check_key()` to validate the key. While this avoids a TOCTOU race between check and load (since there's no check), it means that invalid keys will only be discovered during the load attempt, potentially leaving the dataset in a partially processed state.\n\nThe current implementation catches `ZFSException` and handles `EZFS_CRYPTOFAILED` as 'Invalid Key', which is correct. However, the investigation prompt suggested looking for `check_key()` followed by `load_key()` patterns. In this file, no such pattern exists\u2014the code correctly avoids the TOCTOU by not checking before loading.\n\nThe job lock at line 93 (`@job(lock=lambda args: f'dataset_unlock_{args[0]}')`) provides some serialization for unlock operations targeting the same dataset, but different datasets can still be unlocked concurrently, and the ZFS resource operations themselves are not protected by this high-level lock.", + "confidence": 0.6, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "race_condition_check_load_key", + "dimension_name": "TOCTOU Race Between check_key() and load_key() Operations", + "evidence": "Step 1: `unlock()` job acquires lock for specific dataset ID at line 93.\nStep 2: At line 222, `load_key(tls, name, key=datasets[name]['key'])` is called directly.\nStep 3: No `check_key()` call precedes this load operation.\nStep 4: Lines 223-231 catch exceptions from the load operation.\nObservation: The code correctly avoids TOCTOU by not separating validation from action, though this means error feedback is only available after attempting the operation.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "id": "f_022", + "line_end": 231, + "line_start": 221, + "score": 0.27, + "severity": "suggestion", + "suggestion": "The current approach of loading directly and catching exceptions is actually safer than check-then-load. No change needed unless you want to add pre-validation for better error messages. If pre-validation is added, ensure it's understood that the validation result could be stale by the time load is called.", + "tags": [ + "race-condition", + "zfs", + "encryption", + "validation" + ], + "title": "Missing Key Validation Before Load in unlock()" + }, + { + "active_multipliers": [ + "cross_ref_compound" + ], + "body": "In `pull_zfs_keys()` at lines 107-111, `check_key()` is used to determine if an in-memory key is valid for a dataset. If valid, the key is used for database updates (line 120) but NOT for loading into ZFS.\n\nThe validation at line 109 confirms the key can unlock the dataset at that moment, but the actual use of the key is for database operations (line 120: `update_data = {'encryption_key': key, 'kmip_uid': None}`). This is appropriate usage because:\n1. No `load_key()` follows the `check_key()`\n2. The database update doesn't depend on the current ZFS state\n\nHowever, the check validates against current ZFS state, which could change before any future unlock operation. This is a minor concern about validation staleness rather than a TOCTOU race.", + "confidence": 0.6, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "race_condition_check_load_key", + "dimension_name": "TOCTOU Race Between check_key() and load_key() Operations", + "evidence": "Step 1: At line 109, `check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])` validates the in-memory key.\nStep 2: If True, line 111 assigns the key to a local variable.\nStep 3: Lines 119-121 use this key to update the database, not to load into ZFS.\nStep 4: No `load_key()` call exists in this code path.\nObservation: The check is used to select a key source, not to validate before an action.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_024", + "line_end": 111, + "line_start": 107, + "score": 0.27, + "severity": "suggestion", + "suggestion": "No immediate fix needed. The `check_key()` usage here is for determining which key source to use (in-memory vs KMIP vs database). The validation result staleness is acceptable because the key will be validated again when actually used for unlocking. Consider adding a comment explaining that this is a point-in-time validation.", + "tags": [ + "race-condition", + "kmip", + "zfs", + "validation" + ], + "title": "Staleness of check_key() Result in pull_zfs_keys" + }, + { + "active_multipliers": [], + "body": "The default `pbkdf2iters` was increased from 350,000 to 1,300,000 (3.7x increase). This is a security improvement against brute force attacks, but it will significantly increase unlock times for passphrase-encrypted datasets. Users with passphrase-encrypted pools will experience ~3-4x longer unlock times without warning. This could impact system boot time for encrypted pools, dataset unlock operations, and user experience for large-scale deployments. Consider adding a release note or documentation about this performance trade-off.", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_0", + "dimension_name": "Root cluster coverage gap review", + "evidence": "Step 1: Previous API versions (v25_10_2) had default=350000, ge=100000. Step 2: New v26_0_0 has default=1300000, ge=1300000. Step 3: PBKDF2 iterations directly correlate with unlock time - higher iterations = slower unlock. Step 4: Users upgrading to v26 who had passphrase-encrypted pools will see significantly longer unlock times without any warning.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_034", + "line_end": 139, + "line_start": 139, + "score": 0.225, + "severity": "suggestion", + "suggestion": "Add documentation or release notes warning users about increased unlock times for passphrase-encrypted datasets. Consider allowing users to explicitly set a lower value if they understand the security trade-offs (the ge=1300000 constraint currently prevents this).", + "tags": [ + "performance", + "user-experience", + "security" + ], + "title": "Significant performance impact from increased PBKDF2 iterations" + }, + { + "active_multipliers": [], + "body": "The `from_previous` classmethod in `PoolCreateEncryptionOptions` accesses `value['pbkdf2iters']` without first checking if the key exists. While this may work in normal API flows where pydantic populates defaults before migration, it's a fragile pattern that could cause a `KeyError` if called with incomplete data during API version transitions or internal usage. The method should use `.get()` with a default value or check key existence before accessing it.", + "confidence": 0.65, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_0", + "dimension_name": "Root cluster coverage gap review", + "evidence": "Step 1: `from_previous` is called during API version migrations to convert data from previous API versions. Step 2: The method directly accesses `value['pbkdf2iters']` at line 153 without checking key existence. Step 3: If the input dict lacks this key (e.g., from malformed client data or internal calls), a KeyError will be raised. Step 4: This causes an unhandled exception instead of graceful migration.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_032", + "line_end": 154, + "line_start": 151, + "score": 0.195, + "severity": "suggestion", + "suggestion": "Change `value['pbkdf2iters']` to `value.get('pbkdf2iters', 1300000)` to safely handle cases where the key might not be present.", + "tags": [ + "defensive-coding", + "api-migration", + "backward-compatibility" + ], + "title": "Missing key existence check in from_previous migration method" + }, + { + "active_multipliers": [], + "body": "Same issue as in pool.py - the `from_previous` method in `PoolDatasetChangeKeyOptions` accesses `value['pbkdf2iters']` without checking if the key exists first. This could cause a `KeyError` in edge cases during API version migrations.", + "confidence": 0.65, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_0", + "dimension_name": "Root cluster coverage gap review", + "evidence": "Step 1: The `from_previous` method is designed to migrate data from previous API versions. Step 2: Line 185 directly accesses dictionary key without existence check. Step 3: While pydantic typically populates defaults, internal calls or edge cases could omit this key. Step 4: This results in KeyError instead of graceful handling.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "id": "f_033", + "line_end": 186, + "line_start": 183, + "score": 0.195, + "severity": "suggestion", + "suggestion": "Use `value.get('pbkdf2iters', 1300000)` instead of `value['pbkdf2iters']` to safely handle missing keys.", + "tags": [ + "defensive-coding", + "api-migration", + "backward-compatibility" + ], + "title": "Missing key existence check in PoolDatasetChangeKeyOptions.from_previous" + }, + { + "active_multipliers": [], + "body": "In `push_zfs_keys()` at lines 65-76, `check_key()` is called to validate an in-memory key. If the check passes, the code continues to the next iteration (line 69). If it fails, the code attempts to retrieve the key from KMIP.\n\nWhile there's no `load_key()` call immediately following the `check_key()` in this specific code path, there is a logical issue: the `check_key()` validates the key against the ZFS dataset's current state, but by the time the key is used (potentially later in the same method or by other callers), the dataset state may have changed. The validation result has a limited time window of validity.\n\nHowever, this is not a TOCTOU race in the traditional sense because no action is taken based on the check result other than skipping to the next dataset. The investigation prompt asked about `check_key()` followed by `load_key()` patterns\u2014this file does not contain such a pattern.", + "confidence": 0.6, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "race_condition_check_load_key", + "dimension_name": "TOCTOU Race Between check_key() and load_key() Operations", + "evidence": "Step 1: At line 67, `check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])` is called.\nStep 2: If True, the code executes `continue` at line 69 and proceeds to the next dataset.\nStep 3: If False or exception, lines 71-76 retrieve and store the key from KMIP.\nObservation: No `load_key()` follows the `check_key()` call. The check is used for decision-making, not for validating before an action.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_023", + "line_end": 76, + "line_start": 65, + "score": 0.18, + "severity": "suggestion", + "suggestion": "The usage of `check_key()` here is appropriate for determining whether to retrieve a key from KMIP. However, be aware that the validation result represents a point-in-time check and may not reflect the state when the key is actually used. Consider documenting this behavior or adding comments about the temporal nature of the validation.", + "tags": [ + "race-condition", + "kmip", + "zfs", + "validation" + ], + "title": "Key Validation Without Subsequent Load in push_zfs_keys" + } + ], + "metadata": { + "agent_invocations": 20, + "anatomy": { + "blast_radius": [], + "clusters": [ + { + "description": "", + "files": [ + "" + ], + "id": "cluster_0", + "name": "root", + "primary_language": "" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/api/v26_0_0/pool.py", + "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py" + ], + "id": "cluster_1", + "name": "src/middlewared/middlewared/api/v26_0_0", + "primary_language": "python" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ], + "id": "cluster_2", + "name": "src/middlewared/middlewared/plugins/kmip", + "primary_language": "python" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" + ], + "id": "cluster_3", + "name": "src/middlewared/middlewared/plugins/pool_", + "primary_language": "python" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/zfs/exceptions.py" + ], + "id": "cluster_4", + "name": "src/middlewared/middlewared/plugins/zfs", + "primary_language": "python" + } + ], + "context_notes": "This PR is part of a larger migration from py-libzfs to truenas_pylibzfs. The new encryption.py module follows the pattern established by other _impl.py files in the zfs/ directory (destroy_impl.py, load_unload_impl.py, etc.). The use of @pass_thread_local_storage is consistent with the new architecture where ZFS operations are performed directly in the main process using thread-local libzfs handles rather than being dispatched to a process pool. The change increases PBKDF2 iterations which aligns with current security best practices (OWASP recommends 600k+ iterations for PBKDF2).", + "dependency_graph": {}, + "files": [ + { + "hunks": [ + { + "content": " key.\"\"\"\n generate_key: bool = False\n \"\"\"Automatically generate the key to be used for dataset encryption.\"\"\"\n- pbkdf2iters: int = Field(ge=100000, default=350000)\n+ pbkdf2iters: int = Field(ge=1300000, default=1300000)\n \"\"\"Number of PBKDF2 iterations for key derivation from passphrase. Higher iterations improve security \\\n- against brute force attacks but increase unlock time. Default 350,000 balances security and performance.\"\"\"\n+ against brute force attacks but increase unlock time.\"\"\"\n algorithm: Literal[\n \"AES-128-CCM\", \"AES-192-CCM\", \"AES-256-CCM\", \"AES-128-GCM\", \"AES-192-GCM\", \"AES-256-GCM\"\n ] = \"AES-256-GCM\"", + "header": "@@ -136,9 +136,9 @@ class PoolCreateEncryptionOptions(BaseModel):", + "new_count": 9, + "new_start": 136, + "old_count": 9, + "old_start": 136 + }, + { + "content": " key: Secret[Annotated[str, Field(min_length=64, max_length=64)] | None] = None\n \"\"\"A hex-encoded key specified as an alternative to using `passphrase`.\"\"\"\n \n+ @classmethod\n+ def from_previous(cls, value):\n+ value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n+ return value\n+\n \n class PoolCreateTopologyVdevDRAID(BaseModel):\n type: Literal[\"DRAID1\", \"DRAID2\", \"DRAID3\"]", + "header": "@@ -148,6 +148,11 @@ class PoolCreateEncryptionOptions(BaseModel):", + "new_count": 11, + "new_start": 148, + "old_count": 6, + "old_start": 148 + } + ], + "language": "python", + "lines_added": 7, + "lines_removed": 2, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \"\"\"Generate a new random encryption key instead of using a provided key or passphrase.\"\"\"\n key_file: bool = False\n \"\"\"Whether the provided key is from a key file rather than entered directly.\"\"\"\n- pbkdf2iters: int = Field(default=350000, ge=100000)\n+ pbkdf2iters: int = Field(default=1300000, ge=1300000)\n \"\"\"Number of PBKDF2 iterations for passphrase-based keys. Higher values improve security against \\\n- brute force attacks but increase unlock time. Default 350,000 balances security and performance.\"\"\"\n+ brute force attacks but increase unlock time.\"\"\"\n passphrase: Secret[NonEmptyString | None] = None\n \"\"\"Passphrase to use for encryption key derivation.\"\"\"\n key: Secret[Annotated[str, Field(min_length=64, max_length=64)] | None] = None\n \"\"\"Raw hex-encoded encryption key.\"\"\"\n \n+ @classmethod\n+ def from_previous(cls, value):\n+ value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n+ return value\n+\n \n class PoolDatasetCreateUserProperty(BaseModel):\n key: Annotated[str, Field(examples=[\"custom:backup_policy\", \"org:created_by\"], pattern=\".*:.*\")]", + "header": "@@ -172,14 +172,19 @@ class PoolDatasetChangeKeyOptions(BaseModel):", + "new_count": 19, + "new_start": 172, + "old_count": 14, + "old_start": 172 + } + ], + "language": "python", + "lines_added": 7, + "lines_removed": 2, + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " # See the file LICENSE.IX for complete terms and conditions\n \n from middlewared.api.current import ZFSResourceQuery\n+from middlewared.plugins.zfs.encryption import check_key\n from middlewared.service import job, private, Service\n+from middlewared.service.decorators import pass_thread_local_storage\n \n from .connection import KMIPServerMixin\n ", + "header": "@@ -4,7 +4,9 @@", + "new_count": 9, + "new_start": 4, + "old_count": 7, + "old_start": 4 + }, + { + "content": " return rv\n \n @private\n- def push_zfs_keys(self, ids=None):\n+ @pass_thread_local_storage\n+ def push_zfs_keys(self, tls, ids=None):\n failed = []\n filters = [] if ids is None else [['id', 'in', ids]]\n existing_datasets = self.get_encrypted_datasets(filters)", + "header": "@@ -50,7 +52,8 @@ def get_encrypted_datasets(self, filters):", + "new_count": 8, + "new_start": 52, + "old_count": 7, + "old_start": 50 + }, + { + "content": " if not ds['encryption_key']:\n # We want to make sure we have the KMIP server's keys and in-memory keys in sync\n try:\n- if ds['name'] in self.zfs_keys and self.middleware.call_sync(\n- 'zfs.dataset.check_key', ds['name'], {'key': self.zfs_keys[ds['name']]}\n+ if (\n+ ds['name'] in self.zfs_keys\n+ and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n ):\n continue\n else:", + "header": "@@ -59,8 +62,9 @@ def push_zfs_keys(self, ids=None):", + "new_count": 9, + "new_start": 62, + "old_count": 8, + "old_start": 59 + }, + { + "content": " return failed\n \n @private\n- def pull_zfs_keys(self):\n+ @pass_thread_local_storage\n+ def pull_zfs_keys(self, tls):\n existing_datasets = self.get_encrypted_datasets([['kmip_uid', '!=', None]])\n failed = []\n connection_successful = self.middleware.call_sync('kmip.test_connection')", + "header": "@@ -91,7 +95,8 @@ def push_zfs_keys(self, ids=None):", + "new_count": 8, + "new_start": 95, + "old_count": 7, + "old_start": 91 + }, + { + "content": " try:\n if ds['encryption_key']:\n key = ds['encryption_key']\n- elif ds['name'] in self.zfs_keys and self.middleware.call_sync(\n- 'zfs.dataset.check_key', ds['name'], {'key': self.zfs_keys[ds['name']]}\n+ elif (\n+ ds['name'] in self.zfs_keys\n+ and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n ):\n key = self.zfs_keys[ds['name']]\n elif connection_successful:", + "header": "@@ -99,8 +104,9 @@ def pull_zfs_keys(self):", + "new_count": 9, + "new_start": 104, + "old_count": 8, + "old_start": 99 + }, + { + "content": " return failed\n \n @private\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'kmip_sync_zfs_keys_{args}')\n- def sync_zfs_keys(self, job, ids=None):\n+ def sync_zfs_keys(self, job, tls, ids=None):\n if not self.middleware.call_sync('kmip.zfs_keys_pending_sync'):\n return\n config = self.middleware.call_sync('kmip.config')\n conn_successful = self.middleware.call_sync('kmip.test_connection', None, True)\n if config['enabled'] and config['manage_zfs_keys']:\n if conn_successful:\n- failed = self.push_zfs_keys(ids)\n+ failed = self.push_zfs_keys(tls, ids) # type: ignore\n else:\n return\n else:\n- failed = self.pull_zfs_keys()\n+ failed = self.pull_zfs_keys(tls) # type: ignore\n if failed:\n self.middleware.call_sync(\n 'alert.oneshot_create', 'KMIPZFSDatasetsSyncFailure', {'datasets': ','.join(failed)}", + "header": "@@ -120,19 +126,20 @@ def pull_zfs_keys(self):", + "new_count": 20, + "new_start": 126, + "old_count": 19, + "old_start": 120 + } + ], + "language": "python", + "lines_added": 16, + "lines_removed": 9, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " from middlewared.service.decorators import pass_thread_local_storage\n from middlewared.utils.filter_list import filter_list\n from middlewared.plugins.pool_.utils import get_dataset_parents\n+from middlewared.plugins.zfs.encryption import check_key\n \n from .utils import DATASET_DATABASE_MODEL_NAME, dataset_can_be_mounted, retrieve_keys_from_file, ZFSKeyFormat\n ", + "header": "@@ -18,6 +18,7 @@", + "new_count": 7, + "new_start": 18, + "old_count": 6, + "old_start": 18 + }, + { + "content": " namespace = 'pool.dataset'\n \n @api_method(PoolDatasetEncryptionSummaryArgs, PoolDatasetEncryptionSummaryResult, roles=['DATASET_READ'])\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'encryption_summary_options_{args[0]}', pipes=['input'], check_pipes=False)\n- def encryption_summary(self, job, id_, options):\n+ def encryption_summary(self, job, tls, id_, options):\n \"\"\"\n Retrieve summary of all encrypted roots under `id`.\n ", + "header": "@@ -28,8 +29,9 @@ class Config:", + "new_count": 9, + "new_start": 29, + "old_count": 8, + "old_start": 28 + }, + { + "content": " verrors.check()\n datasets = self.query_encrypted_datasets(id_, {'all': True})\n \n- to_check = []\n+ results = []\n for name, ds in datasets.items():\n ds_key = keys_supplied.get(name, {}).get('key') or ds['encryption_key']\n if ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and ds_key:\n with contextlib.suppress(ValueError):\n ds_key = bytes.fromhex(ds_key)\n- to_check.append((name, {'key': ds_key}))\n \n- check_job = self.middleware.call_sync('zfs.dataset.bulk_process', 'check_key', to_check)\n- check_job.wait_sync()\n- if check_job.error:\n- raise CallError(f'Failed to retrieve encryption summary for {id_}: {check_job.error}')\n+ try:\n+ valid_key = check_key(tls, name, key=ds_key)\n+ except Exception:\n+ valid_key = False\n \n- results = []\n- for ds_data, status in zip(to_check, check_job.result):\n- ds_name = ds_data[0]\n- data = datasets[ds_name]\n results.append({\n- 'name': ds_name,\n- 'key_format': ZFSKeyFormat(data['key_format']['value']).value,\n- 'key_present_in_database': bool(data['encryption_key']),\n- 'valid_key': bool(status['result']), 'locked': data['locked'],\n+ 'name': name,\n+ 'key_format': ZFSKeyFormat(ds['key_format']['value']).value,\n+ 'key_present_in_database': bool(ds['encryption_key']),\n+ 'valid_key': valid_key,\n+ 'locked': ds['locked'],\n 'unlock_error': None,\n 'unlock_successful': False,\n })\n \n failed = set()\n for ds in sorted(results, key=lambda d: d['name'].count('/')):\n- for i in range(1, ds['name'].count('/') + 1):\n- check = ds['name'].rsplit('/', i)[0]\n+ ds_name = ds['name']\n+ for i in range(1, ds_name.count('/') + 1):\n+ check = ds_name.rsplit('/', i)[0]\n if check in failed:\n- failed.add(ds['name'])\n+ failed.add(ds_name)\n ds['unlock_error'] = f'Child cannot be unlocked when parent \"{check}\" is locked'\n \n- if ds['locked'] and not options['force'] and not keys_supplied.get(ds['name'], {}).get('force'):\n- err = dataset_can_be_mounted(ds['name'], os.path.join('/mnt', ds['name']))\n+ ds_locked = ds['locked']\n+ if ds_locked and not options['force'] and not keys_supplied.get(ds_name, {}).get('force'):\n+ err = dataset_can_be_mounted(ds_name, os.path.join('/mnt', ds_name))\n if ds['unlock_error'] and err:\n ds['unlock_error'] += f' and {err}'\n elif err:", + "header": "@@ -94,42 +96,40 @@ def encryption_summary(self, job, id_, options):", + "new_count": 40, + "new_start": 96, + "old_count": 42, + "old_start": 94 + }, + { + "content": " \n if ds['valid_key']:\n ds['unlock_successful'] = not bool(ds['unlock_error'])\n- elif not ds['locked']:\n+ elif not ds_locked:\n # For datasets which are already not locked, unlock operation for them\n # will succeed as they are not locked\n ds['unlock_successful'] = True\n else:\n- key_provided = ds['name'] in keys_supplied or ds['key_present_in_database']\n+ key_provided = ds_name in keys_supplied or ds['key_present_in_database']\n if key_provided:\n if ds['unlock_error']:\n- if ds['name'] in keys_supplied or ds['key_present_in_database']:\n+ if ds_name in keys_supplied or ds['key_present_in_database']:\n ds['unlock_error'] += ' and provided key is invalid'\n else:\n ds['unlock_error'] = 'Provided key is invalid'\n elif not ds['unlock_error']:\n ds['unlock_error'] = 'Key not provided'\n- failed.add(ds['name'])\n+ failed.add(ds_name)\n \n return results\n \n @periodic(86400)\n @private\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')\n- def sync_db_keys(self, job, name=None):\n+ def sync_db_keys(self, job, tls, name=None):\n if not self.middleware.call_sync('failover.is_single_master_node'):\n # We don't want to do this for passive controller\n return", + "header": "@@ -137,28 +137,29 @@ def encryption_summary(self, job, id_, options):", + "new_count": 29, + "new_start": 137, + "old_count": 28, + "old_start": 137 + }, + { + "content": " # It is possible we have a pool configured but for some mistake/reason the pool did not import like\n # during repair disks were not plugged in and system was booted, in such cases we would like to not\n # remove the encryption keys from the database.\n- for root_ds in {pool['name'] for pool in self.middleware.call_sync('pool.query')} - {\n- ds['id'] for ds in self.middleware.call_sync(\n+ pool_names = {pool['name'] for pool in self.middleware.call_sync('pool.query')}\n+ ds_names = {\n+ ds['id']\n+ for ds in self.middleware.call_sync(\n 'pool.dataset.query', [], {'extra': {'retrieve_children': False, 'properties': []}}\n )\n- }:\n+ }\n+ for root_ds in pool_names - ds_names:\n filters.extend([['name', '!=', root_ds], ['name', '!^', f'{root_ds}/']])\n \n db_datasets = self.query_encrypted_roots_keys(filters)\n encrypted_roots = {\n- d['name']: d for d in self.middleware.call_sync(\n- 'pool.dataset.query', filters, {'extra': {'properties': ['encryptionroot']}}\n- ) if d['name'] == d['encryption_root']\n+ d['name']: d\n+ for d in self.middleware.call_sync(\n+ 'pool.dataset.query',\n+ filters,\n+ {'extra': {'properties': ['encryptionroot', 'keyformat']}}\n+ )\n+ if d['name'] == d['encryption_root']\n }\n+\n to_remove = []\n- check_key_job = self.middleware.call_sync('zfs.dataset.bulk_process', 'check_key', [\n- (name, {'key': db_datasets[name]}) for name in db_datasets\n- ])\n- check_key_job.wait_sync()\n- if check_key_job.error:\n- self.logger.error(f'Failed to sync database keys: {check_key_job.error}')\n+ try:\n+ for ds_name, key in db_datasets.items():\n+ ds = encrypted_roots.get(ds_name)\n+ if ds and ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and key:\n+ with contextlib.suppress(ValueError):\n+ key = bytes.fromhex(key)\n+\n+ try:\n+ should_remove = not check_key(tls, ds_name, key=key)\n+ except Exception:\n+ should_remove = True\n+\n+ if should_remove:\n+ to_remove.append(ds_name)\n+\n+ except Exception as exc:\n+ self.logger.error(f'Failed to sync database keys: {exc}')\n return\n \n- for dataset, status in zip(db_datasets, check_key_job.result):\n- if not status['result']:\n- to_remove.append(dataset)\n- elif status['error']:\n- if dataset not in encrypted_roots:\n- to_remove.append(dataset)\n- else:\n- self.logger.error(f'Failed to check encryption status for {dataset}: {status[\"error\"]}')\n-\n self.middleware.call_sync('pool.dataset.delete_encrypted_datasets_from_db', [['name', 'in', to_remove]])\n \n @private", + "header": "@@ -167,37 +168,47 @@ def sync_db_keys(self, job, name=None):", + "new_count": 47, + "new_start": 168, + "old_count": 37, + "old_start": 167 + } + ], + "language": "python", + "lines_added": 57, + "lines_removed": 46, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " from datetime import datetime\n from pathlib import Path\n \n+from truenas_pylibzfs import ZFSError, ZFSException\n+\n from middlewared.api import api_method\n from middlewared.api.current import (\n PoolDatasetLockArgs, PoolDatasetLockResult, PoolDatasetUnlockArgs, PoolDatasetUnlockResult\n )\n+from middlewared.plugins.zfs.encryption import load_key\n from middlewared.service import CallError, job, private, Service, ValidationErrors\n+from middlewared.service.decorators import pass_thread_local_storage\n from middlewared.utils.filesystem.directory import directory_is_empty\n \n from .utils import (", + "header": "@@ -6,11 +6,15 @@", + "new_count": 15, + "new_start": 6, + "old_count": 11, + "old_start": 6 + }, + { + "content": " return True\n \n @api_method(PoolDatasetUnlockArgs, PoolDatasetUnlockResult, roles=['DATASET_WRITE'])\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'dataset_unlock_{args[0]}', pipes=['input'], check_pipes=False)\n- def unlock(self, job, id_, options):\n+ def unlock(self, job, tls, id_, options):\n \"\"\"\n Unlock dataset `id` (and its children if `unlock_options.recursive` is `true`).\n ", + "header": "@@ -85,8 +89,9 @@ async def lock(self, job, id_, options):", + "new_count": 9, + "new_start": 89, + "old_count": 8, + "old_start": 85 + }, + { + "content": " \n job.set_progress(int(name_i / len(names) * 90 + 0.5), f'Unlocking {name!r}')\n try:\n- self.middleware.call_sync(\n- 'zfs.dataset.load_key', name, {'key': datasets[name]['key'], 'mount': False}\n- )\n- except CallError as e:\n- failed[name]['error'] = 'Invalid Key' if 'incorrect key provided' in str(e).lower() else str(e)\n+ load_key(tls, name, key=datasets[name]['key'])\n+ except ZFSException as e:\n+ if e.code == ZFSError.EZFS_CRYPTOFAILED:\n+ failed[name]['error'] = 'Invalid Key'\n+ else:\n+ failed[name]['error'] = str(e)\n+ continue\n+ except Exception as e:\n+ failed[name]['error'] = str(e)\n continue\n \n # Before we mount the dataset in question, we should ensure that the path where it will be mounted", + "header": "@@ -214,11 +219,15 @@ def unlock(self, job, id_, options):", + "new_count": 15, + "new_start": 219, + "old_count": 11, + "old_start": 214 + } + ], + "language": "python", + "lines_added": 15, + "lines_removed": 6, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " PoolDatasetChangeKeyArgs, PoolDatasetChangeKeyResult, PoolDatasetInheritParentEncryptionPropertiesArgs,\n PoolDatasetInheritParentEncryptionPropertiesResult\n )\n+from middlewared.plugins.zfs.encryption import change_encryption_root, change_key\n from middlewared.service import CallError, job, private, Service, ValidationErrors\n+from middlewared.service.decorators import pass_thread_local_storage\n from middlewared.utils import secrets\n \n from .utils import DATASET_DATABASE_MODEL_NAME, ZFSKeyFormat", + "header": "@@ -4,7 +4,9 @@", + "new_count": 9, + "new_start": 4, + "old_count": 7, + "old_start": 4 + }, + { + "content": " PoolDatasetInsertOrUpdateEncryptedRecordResult,\n roles=['DATASET_WRITE']\n )\n- async def insert_or_update_encrypted_record(self, data):\n+ def insert_or_update_encrypted_record(self, data):\n key_format = data.pop('key_format') or ZFSKeyFormat.PASSPHRASE.value\n if not data['encryption_key'] or ZFSKeyFormat(key_format.upper()) == ZFSKeyFormat.PASSPHRASE:\n # We do not want to save passphrase keys - they are only known to the user\n return\n \n ds_id = data.pop('id')\n- ds = await self.middleware.call(\n+ ds = self.middleware.call_sync(\n 'datastore.query', DATASET_DATABASE_MODEL_NAME,\n [['id', '=', ds_id]] if ds_id else [['name', '=', data['name']]]\n )", + "header": "@@ -21,14 +23,14 @@ class Config:", + "new_count": 14, + "new_start": 23, + "old_count": 14, + "old_start": 21 + }, + { + "content": " \n pk = ds[0]['id'] if ds else None\n if ds:\n- await self.middleware.call(\n+ self.middleware.call_sync(\n 'datastore.update',\n DATASET_DATABASE_MODEL_NAME,\n ds[0]['id'], data\n )\n else:\n- pk = await self.middleware.call(\n+ pk = self.middleware.call_sync(\n 'datastore.insert',\n DATASET_DATABASE_MODEL_NAME,\n data\n )\n \n- kmip_config = await self.middleware.call('kmip.config')\n+ kmip_config = self.middleware.call_sync('kmip.config')\n if kmip_config['enabled'] and kmip_config['manage_zfs_keys']:\n- await self.middleware.call('kmip.sync_zfs_keys', [pk])\n+ self.middleware.call_sync('kmip.sync_zfs_keys', [pk])\n \n return pk\n ", + "header": "@@ -37,21 +39,21 @@ async def insert_or_update_encrypted_record(self, data):", + "new_count": 21, + "new_start": 39, + "old_count": 21, + "old_start": 37 + }, + { + "content": " return opts\n \n @api_method(PoolDatasetChangeKeyArgs, PoolDatasetChangeKeyResult, roles=['DATASET_WRITE'])\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'dataset_change_key_{args[0]}', pipes=['input'], check_pipes=False)\n- async def change_key(self, job, id_, options):\n+ def change_key(self, job, tls, id_, options):\n \"\"\"\n Change encryption properties for `id` encrypted dataset.\n ", + "header": "@@ -114,8 +116,9 @@ def validate_encryption_data(self, job, verrors, encryption_dict, schema):", + "new_count": 9, + "new_start": 116, + "old_count": 8, + "old_start": 114 + }, + { + "content": " 1) It has encrypted roots as children which are encrypted with a key\n 2) If it is a root dataset where the system dataset is located\n \"\"\"\n- ds = await self.middleware.call('pool.dataset.get_instance_quick', id_, {\n+ ds = self.middleware.call_sync('pool.dataset.get_instance_quick', id_, {\n 'encryption': True,\n })\n verrors = ValidationErrors()", + "header": "@@ -124,7 +127,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 127, + "old_count": 7, + "old_start": 124 + }, + { + "content": " )\n elif any(\n d['name'] == d['encryption_root']\n- for d in await self.middleware.call(\n+ for d in self.middleware.call_sync(\n 'pool.dataset.query', [\n ['id', '^', f'{id_}/'], ['encrypted', '=', True],\n ['key_format.value', '!=', ZFSKeyFormat.PASSPHRASE.value]", + "header": "@@ -142,7 +145,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 145, + "old_count": 7, + "old_start": 142 + }, + { + "content": " f'{id_} has children which are encrypted with a key. It is not allowed to have encrypted '\n 'roots which are encrypted with a key as children for passphrase encrypted datasets.'\n )\n- elif id_ == (await self.middleware.call('systemdataset.config'))['pool']:\n+ elif id_ == self.middleware.call_sync('systemdataset.config')['pool']:\n verrors.add(\n 'id',\n f'{id_} contains the system dataset. Please move the system dataset to a '", + "header": "@@ -154,7 +157,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 157, + "old_count": 7, + "old_start": 154 + }, + { + "content": " f'change_key_options.{k}',\n 'Either Key or passphrase must be provided.'\n )\n- elif id_.count('/') and await self.middleware.call(\n+ elif id_.count('/') and self.middleware.call_sync(\n 'pool.dataset.query', [\n ['id', 'in', [id_.rsplit('/', i)[0] for i in range(1, id_.count('/') + 1)]],\n ['key_format.value', '=', ZFSKeyFormat.PASSPHRASE.value], ['encrypted', '=', True]", + "header": "@@ -167,7 +170,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 170, + "old_count": 7, + "old_start": 167 + }, + { + "content": " \n verrors.check()\n \n- encryption_dict = await self.middleware.call(\n+ encryption_dict = self.middleware.call_sync(\n 'pool.dataset.validate_encryption_data', job, verrors, {\n 'enabled': True, 'passphrase': options['passphrase'],\n 'generate_key': options['generate_key'], 'key_file': options['key_file'],", + "header": "@@ -181,7 +184,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 184, + "old_count": 7, + "old_start": 181 + }, + { + "content": " encryption_dict.pop('encryption')\n key = encryption_dict.pop('key')\n \n- await self.middleware.call(\n- 'zfs.dataset.change_key', id_, {\n- 'encryption_properties': encryption_dict,\n- 'key': key, 'load_key': False,\n- }\n- )\n+ change_key(tls, id_, encryption_dict, key)\n \n # TODO: Handle renames of datasets appropriately wrt encryption roots and db - this will be done when\n # devd changes are in from the OS end\n data = {'encryption_key': key, 'key_format': 'PASSPHRASE' if options['passphrase'] else 'HEX', 'name': id_}\n- await self.insert_or_update_encrypted_record(data)\n+ self.insert_or_update_encrypted_record(data)\n if options['passphrase'] and ZFSKeyFormat(ds['key_format']['value']) != ZFSKeyFormat.PASSPHRASE:\n- await self.middleware.call('pool.dataset.sync_db_keys', id_)\n+ self.middleware.call_sync('pool.dataset.sync_db_keys', id_)\n \n data['old_key_format'] = ds['key_format']['value']\n- await self.middleware.call_hook('dataset.change_key', data)\n+ self.middleware.call_hook_sync('dataset.change_key', data)\n \n @api_method(\n PoolDatasetInheritParentEncryptionPropertiesArgs,\n PoolDatasetInheritParentEncryptionPropertiesResult,\n roles=['DATASET_WRITE']\n )\n- async def inherit_parent_encryption_properties(self, id_):\n+ @pass_thread_local_storage\n+ def inherit_parent_encryption_properties(self, tls, id_):\n \"\"\"\n Allows inheriting parent's encryption root discarding its current encryption settings. This\n can only be done where `id` has an encrypted parent and `id` itself is an encryption root.\n \"\"\"\n- ds = await self.middleware.call('pool.dataset.get_instance_quick', id_, {\n+ ds = self.middleware.call_sync('pool.dataset.get_instance_quick', id_, {\n 'encryption': True,\n })\n if not ds['encrypted']:", + "header": "@@ -194,34 +197,30 @@ async def change_key(self, job, id_, options):", + "new_count": 30, + "new_start": 197, + "old_count": 34, + "old_start": 194 + }, + { + "content": " elif '/' not in id_:\n raise CallError('Root datasets do not have a parent and cannot inherit encryption settings')\n else:\n- parent = await self.middleware.call(\n+ parent = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', id_.rsplit('/', 1)[0], {\n 'encryption': True,\n }", + "header": "@@ -233,7 +232,7 @@ async def inherit_parent_encryption_properties(self, id_):", + "new_count": 7, + "new_start": 232, + "old_count": 7, + "old_start": 233 + }, + { + "content": " if not parent['encrypted']:\n raise CallError('This operation requires the parent dataset to be encrypted')\n else:\n- parent_encrypted_root = await self.middleware.call(\n+ parent_encrypted_root = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', parent['encryption_root'], {\n 'encryption': True,\n }\n )\n- if ZFSKeyFormat(parent_encrypted_root['key_format']['value']) == ZFSKeyFormat.PASSPHRASE.value:\n+ if parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:\n if any(\n d['name'] == d['encryption_root']\n- for d in await self.middleware.call(\n+ for d in self.middleware.call_sync(\n 'pool.dataset.query', [\n ['id', '^', f'{id_}/'], ['encrypted', '=', True],\n ['key_format.value', '!=', ZFSKeyFormat.PASSPHRASE.value]", + "header": "@@ -241,15 +240,15 @@ async def inherit_parent_encryption_properties(self, id_):", + "new_count": 15, + "new_start": 240, + "old_count": 15, + "old_start": 241 + }, + { + "content": " 'roots which are encrypted with a key as children for passphrase encrypted datasets.'\n )\n \n- await self.middleware.call('zfs.dataset.change_encryption_root', id_, {'load_key': False})\n- await self.middleware.call('pool.dataset.sync_db_keys', id_)\n- await self.middleware.call_hook('dataset.inherit_parent_encryption_root', id_)\n+ change_encryption_root(tls, id_)\n+ self.middleware.call_sync('pool.dataset.sync_db_keys', id_)\n+ self.middleware.call_hook_sync('dataset.inherit_parent_encryption_root', id_)", + "header": "@@ -261,6 +260,6 @@ async def inherit_parent_encryption_properties(self, id_):", + "new_count": 6, + "new_start": 260, + "old_count": 6, + "old_start": 261 + } + ], + "language": "python", + "lines_added": 29, + "lines_removed": 30, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+import threading\n+from typing import Literal, TypedDict, cast\n+\n+from .exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n+from .utils import open_resource\n+\n+\n+class EncryptionProperties(TypedDict, total=False):\n+ keyformat: Literal['hex', 'passphrase', 'raw']\n+ keylocation: str\n+ pbkdf2iters: int | None\n+\n+\n+def load_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> None:\n+ \"\"\"\n+ Load the encryption key for a ZFS dataset.\n+\n+ Args:\n+ dataset: Name of the ZFS dataset whose key should be loaded.\n+\n+ Keyword Args:\n+ key: Key material as ``str`` (hex/passphrase) or ``bytes`` (raw).\n+ Mutually exclusive with ``key_location``.\n+ key_location: Path to the key file on disk.\n+ Mutually exclusive with ``key``.\n+ \"\"\"\n+ if len(kwargs) > 1:\n+ raise ValueError('Cannot specify both key and key location')\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ if crypto.info().key_is_loaded:\n+ raise ZFSKeyAlreadyLoadedException(dataset)\n+ crypto.load_key(**kwargs)\n+\n+\n+def check_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> bool:\n+ \"\"\"\n+ Return True if ``key`` (or the key at ``key_location``) can unlock ``dataset``.\n+\n+ Does not actually load the key. Raises ZFSNotEncryptedException if the\n+ dataset is not encrypted or if the ZFS operation fails for a reason other\n+ than a wrong key (EZFS_CRYPTOFAILED returns False rather than raising).\n+\n+ Args:\n+ dataset: Name of the ZFS dataset to check.\n+\n+ Keyword Args:\n+ key: Key material as ``str`` (hex/passphrase) or ``bytes`` (raw).\n+ Mutually exclusive with ``key_location``.\n+ key_location: Path to the key file on disk.\n+ Mutually exclusive with ``key``.\n+ \"\"\"\n+ if len(kwargs) > 1:\n+ raise ValueError('Cannot specify both key and key location')\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ return crypto.check_key(**kwargs) # type: ignore[no-any-return]\n+\n+\n+def change_key(\n+ tls: threading.local,\n+ dataset: str,\n+ properties: EncryptionProperties | None = None,\n+ key: str | None = None\n+) -> None:\n+ \"\"\"\n+ Change the encryption key and/or properties for ``dataset``.\n+\n+ The dataset's key must already be loaded before calling this.\n+\n+ Args:\n+ dataset: Name of the ZFS dataset whose key should be changed.\n+ properties: May contain any combination of keyformat, keylocation, and\n+ pbkdf2iters.\n+ key: New key material. Required when keylocation is not given.\n+ \"\"\"\n+ props = {} if properties is None else cast(dict[str, str | int | None], properties.copy())\n+ if key:\n+ props.pop('keylocation', None)\n+ props['key'] = key\n+ elif 'keylocation' not in props:\n+ raise ValueError('Must specify either key or key location')\n+\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ config = tls.lzh.resource_cryptography_config(**props)\n+ crypto.change_key(info=config)\n+\n+\n+def change_encryption_root(tls: threading.local, dataset: str) -> None:\n+ \"\"\"\n+ Make ``dataset`` inherit encryption from its parent, removing it as\n+ an encryption root.\n+\n+ ``dataset`` must currently be an encryption root and its key must be loaded.\n+\n+ Args:\n+ dataset: Name of the ZFS dataset to remove as an encryption root.\n+ \"\"\"\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ crypto.inherit_key()", + "header": "@@ -0,0 +1,106 @@", + "new_count": 106, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "python", + "lines_added": 106, + "lines_removed": 0, + "path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "status": "added" + }, + { + "hunks": [ + { + "content": "-from typing import Collection\n+from typing import Iterable\n \n __all__ = (\n+ \"ZFSKeyAlreadyLoadedException\",\n+ \"ZFSNotEncryptedException\",\n \"ZFSPathAlreadyExistsException\",\n \"ZFSPathInvalidException\",\n \"ZFSPathNotASnapshotException\",", + "header": "@@ -1,6 +1,8 @@", + "new_count": 8, + "new_start": 1, + "old_count": 6, + "old_start": 1 + }, + { + "content": " )\n \n \n+class ZFSKeyAlreadyLoadedException(Exception):\n+ def __init__(self, path: str):\n+ self.message = f\"{path!r} key is already loaded\"\n+ super().__init__(self.message)\n+\n+\n+class ZFSNotEncryptedException(Exception):\n+ def __init__(self, path: str):\n+ self.message = f\"{path!r} is not encrypted\"\n+ super().__init__(self.message)\n+\n+\n class ZFSPathAlreadyExistsException(Exception):\n def __init__(self, path: str):\n self.message = f\"{path!r} already exists\"", + "header": "@@ -9,6 +11,18 @@", + "new_count": 18, + "new_start": 11, + "old_count": 6, + "old_start": 9 + }, + { + "content": " \n \n class ZFSPathHasClonesException(Exception):\n- def __init__(self, path: str, clones: Collection[str]):\n+ def __init__(self, path: str, clones: Iterable[str]):\n self.path = path\n self.clones = clones\n self.message = f\"{path!r} has the following clones: {','.join(clones)}\"", + "header": "@@ -16,7 +30,7 @@ def __init__(self, path: str):", + "new_count": 7, + "new_start": 30, + "old_count": 7, + "old_start": 16 + }, + { + "content": " \n \n class ZFSPathHasHoldsException(Exception):\n- def __init__(self, path: str, holds: Collection[str]):\n+ def __init__(self, path: str, holds: Iterable[str]):\n self.message = f\"{path!r} has the following holds: {','.join(holds)}\"\n super().__init__(self.message)\n ", + "header": "@@ -24,7 +38,7 @@ def __init__(self, path: str, clones: Collection[str]):", + "new_count": 7, + "new_start": 38, + "old_count": 7, + "old_start": 24 + } + ], + "language": "python", + "lines_added": 17, + "lines_removed": 3, + "path": "src/middlewared/middlewared/plugins/zfs/exceptions.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": "-import libzfs\n-\n-from middlewared.service import CallError, job, Service\n-\n-\n-class ZFSDatasetService(Service):\n-\n- class Config:\n- namespace = 'zfs.dataset'\n- private = True\n- process_pool = True\n-\n- def common_load_dataset_checks(self, id_, ds):\n- self.common_encryption_checks(id_, ds)\n- if ds.key_loaded:\n- raise CallError(f'{id_} key is already loaded')\n-\n- def common_encryption_checks(self, id_, ds):\n- if not ds.encrypted:\n- raise CallError(f'{id_} is not encrypted')\n-\n- def load_key(self, id_: str, options: dict | None = None):\n- if options is None:\n- options = {\n- 'mount': True,\n- 'recursive': False,\n- 'key': None,\n- 'key_location': None,\n- }\n- options.setdefault('mount', True)\n- options.setdefault('recursive', False)\n- options.setdefault('key', None)\n- options.setdefault('key_location', None)\n-\n- mount_ds = options.pop('mount')\n- recursive = options.pop('recursive')\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- self.common_load_dataset_checks(id_, ds)\n- ds.load_key(**options)\n- except libzfs.ZFSException as e:\n- self.logger.error(f'Failed to load key for {id_}', exc_info=True)\n- raise CallError(f'Failed to load key for {id_}: {e}')\n- else:\n- if mount_ds:\n- self.call_sync2(self.s.zfs.resource.mount, id_, recursive=recursive)\n-\n- def check_key(self, id_: str, options: dict | None = None):\n- \"\"\"\n- Returns `true` if the `key` is valid, `false` otherwise.\n- \"\"\"\n- if options is None:\n- options = {\n- 'key': None,\n- 'key_location': None,\n- }\n-\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- self.common_encryption_checks(id_, ds)\n- return ds.check_key(**options)\n- except libzfs.ZFSException as e:\n- self.logger.error(f'Failed to check key for {id_}', exc_info=True)\n- raise CallError(f'Failed to check key for {id_}: {e}')\n-\n- def change_key(self, id_: str, options: dict | None = None):\n- if options is None:\n- options = {\n- 'encryption_properties': {},\n- 'load_key': True,\n- 'key': None,\n- }\n-\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- self.common_encryption_checks(id_, ds)\n- ds.change_key(props=options['encryption_properties'], load_key=options['load_key'], key=options['key'])\n- except libzfs.ZFSException as e:\n- self.logger.error(f'Failed to change key for {id_}', exc_info=True)\n- raise CallError(f'Failed to change key for {id_}: {e}')\n-\n- def change_encryption_root(self, id_: str, options: dict | None = None):\n- if options is None:\n- options = {'load_key': True}\n-\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- ds.change_key(load_key=options['load_key'], inherit=True)\n- except libzfs.ZFSException as e:\n- raise CallError(f'Failed to change encryption root for {id_}: {e}')\n-\n- @job()\n- def bulk_process(self, job, name: str, params: list):\n- f = getattr(self, name, None)\n- if not f:\n- raise CallError(f'{name} method not found in zfs.dataset')\n-\n- statuses = []\n- for i in params:\n- result = error = None\n- try:\n- result = f(*i)\n- except Exception as e:\n- error = str(e)\n- finally:\n- statuses.append({'result': result, 'error': error})\n-\n- return statuses", + "header": "@@ -1,112 +0,0 @@", + "new_count": 0, + "new_start": 0, + "old_count": 112, + "old_start": 1 + } + ], + "language": "", + "lines_added": 0, + "lines_removed": 112, + "path": "", + "status": "removed" + } + ], + "intent_gaps": [ + "The PR description mentions 'Depends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145' but doesn't specify what those changes are. The code uses crypto.load_key(), crypto.check_key(), crypto.change_key() methods that presumably were added in that PR - reviewers need to verify those methods exist and have correct signatures.", + "PR description says 'removes another use case of our process pool' but doesn't document which process_pool usages remain. The zfs_/pool*.py files still have process_pool=True in their Config classes - full migration status is unclear.", + "The PR adds new exception types but doesn't document when they're raised vs when ZFSException is raised. Code in encryption.py raises ZFSNotEncryptedException before calling ZFS operations, but ZFS operations themselves can also fail - error contract is implicit.", + "No tests are included in this PR (test_files_changed: 0). For a security-critical encryption refactor, this is a significant gap. The PR should include tests for: key loading, key validation, key changing, encryption root inheritance, error cases (wrong key, non-encrypted dataset, already loaded key).", + "The PR description mentions converting 'zfs.dataset encryption methods' but also changes KMIP integration (kmip/zfs_keys.py). This cross-service impact isn't mentioned in the PR description.", + "Dead code risk: The old process_pool-based encryption implementation files are removed (112 lines deleted in removed file), but it's unclear if any other code still references those removed functions. Static analysis should confirm no dangling references." + ], + "pr_narrative": "This PR refactors ZFS dataset encryption operations to replace the deprecated py-libzfs/process_pool mechanism with direct truenas_pylibzfs calls.\n\nOLD MECHANISM:\n- ZFS operations ran in a separate process pool (process_pool=True in service Config)\n- Used py-libzfs bindings for encryption operations\n- Required marshaling data between main process and worker processes\n\nNEW MECHANISM:\n- New src/middlewared/middlewared/plugins/zfs/encryption.py module with 4 functions:\n - load_key(tls, dataset, **kwargs): Load encryption key into ZFS\n - check_key(tls, dataset, **kwargs): Validate key without loading (returns bool)\n - change_key(tls, dataset, properties, key): Change encryption key/properties\n - change_encryption_root(tls, dataset): Inherit encryption from parent\n\n- All functions use @pass_thread_local_storage decorator to receive 'tls' parameter\n- tls.lzh (libzfs handle) is used to open ZFS resources directly via truenas_pylibzfs\n- Functions validate preconditions (encrypted, key not already loaded) before calling ZFS\n\nENTRY POINT TO EFFECT FLOW:\n1. pool.dataset.unlock() -> calls load_key() for each locked dataset -> mounts datasets\n2. pool.dataset.encryption_summary() -> calls check_key() to validate keys -> returns validation results\n3. pool.dataset.sync_db_keys() -> calls check_key() to verify keys -> removes invalid keys from DB\n4. pool.dataset.change_key() -> calls change_key() -> updates DB with new key\n5. pool.dataset.inherit_parent_encryption_properties() -> calls change_encryption_root()\n6. kmip.sync_zfs_keys() -> calls check_key() to verify key validity before syncing to KMIP\n\nADDITIONAL CHANGES:\n- Added new exceptions: ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n- Updated PoolCreateEncryptionOptions.pbkdf2iters default from 350000 to 1300000 (security hardening)\n- Changed API field type for 'id' parameter in pool_dataset.py from str to NonEmptyString", + "risk_surfaces": [ + "Thread-local storage contract violation: All new encryption functions require 'tls' parameter with 'lzh' attribute (libzfs handle). Callers must use @pass_thread_local_storage decorator. Risk: If any caller forgets the decorator, tls will be None causing AttributeError at tls.lzh.open_resource(). Affected: dataset_encryption_lock.py:222, dataset_encryption_info.py:107,201, dataset_encryption_operations.py:200,263, kmip/zfs_keys.py:67,109", + "Exception contract change: check_key() now raises ZFSNotEncryptedException for non-encrypted datasets instead of returning False. Old code in dataset_encryption_info.py:107-109 catches generic Exception to handle this - risk of masking other real errors. The exception is NOT caught in kmip/zfs_keys.py:67,109 where it's expected to propagate up - this changes error handling semantics.", + "Key format conversion risk: RAW keys are hex-encoded in database but truenas_pylibzfs expects bytes. Code converts via bytes.fromhex() in multiple places (dataset_encryption_info.py:103-104,178-182,196-198). Risk: ValueError from malformed hex is caught and silently sets key to None, which causes 'Missing key' failure later without clear error message about the hex parsing failure.", + "Race condition in check_key: check_key() in encryption.py:57-59 opens resource, checks crypto, returns crypto.check_key(). Between check and actual load_key() call, another process could load/unload the key. This is existing behavior but more explicit now.", + "ZFSException EZFS_CRYPTOFAILED handling: In dataset_encryption_lock.py:223-226, ZFSException with EZFS_CRYPTOFAILED returns 'Invalid Key' error. If truenas_pylibzfs changes error code mapping or introduces new error codes for key validation failures, this error handling breaks.", + "KMIP integration risk: kmip/zfs_keys.py push_zfs_keys() and pull_zfs_keys() now use check_key() to verify keys before syncing. If check_key() raises unexpected exceptions (not ZFSNotEncryptedException), the sync will fail. The code catches generic Exception at lines 72,117 but this could mask real failures.", + "API compatibility: The change to PoolCreateEncryptionOptions.pbkdf2iters default (350000 -> 1300000) is a breaking change for API consumers expecting the old default. Existing scripts creating encrypted datasets will get stronger (slower) key derivation without explicitly requesting it.", + "Load order dependency: path_in_locked_datasets() in dataset_encryption_info.py:216-283 now relies on tls.lzh directly instead of process pool. This is a hot code path - any issue with thread-local storage initialization will cause failures in path validation throughout the system.", + "Missing validation in change_key: encryption.py:62-90 receives 'properties' dict that may contain None values (e.g., pbkdf2iters). These are passed directly to tls.lzh.resource_cryptography_config() - if truenas_pylibzfs doesn't handle None properly, this could cause crashes." + ], + "stats": { + "files_added": 1, + "files_modified": 7, + "files_removed": 1, + "files_renamed": 0, + "test_files_changed": 0, + "test_to_code_ratio": 0, + "total_additions": 254, + "total_deletions": 210, + "total_files": 9 + }, + "unrelated_changes": [ + "PoolCreateEncryptionOptions.pbkdf2iters default changed from 350000 to 1300000 in src/middlewared/middlewared/api/v26_0_0/pool.py:139 and pool_dataset.py:175. This is a security hardening change unrelated to the py-libzfs -> truenas_pylibzfs migration. It increases PBKDF2 iterations for passphrase-based encryption, making key derivation more secure but slower.", + "PoolDatasetRenameArgs.id field type changed from str to NonEmptyString in pool_dataset.py:815. This adds stricter validation for rename operations, unrelated to encryption refactoring.", + "ZFSPathHasClonesException and ZFSPathHasHoldsException added to exceptions.py but not used in encryption operations. These appear to be added for completeness/consistency but are orthogonal to the encryption changes." + ] + }, + "budget": { + "budget_exhausted": true, + "cost_breakdown": { + "adversary": 0, + "anatomy": 0, + "coverage": 0, + "cross_ref": 0, + "intake": 0, + "meta_selectors": 0, + "output": 0, + "review": 0, + "synthesis": 0 + }, + "max_cost_usd": 2, + "max_duration_seconds": 900, + "total_cost_usd": 0 + }, + "intake": { + "ai_generated": 0, + "areas_touched": [ + "api" + ], + "complexity": "standard", + "languages": [ + "python" + ], + "pr_summary": "Replace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods. This removes another use case of our process pool.\r\n\r\nDepends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145.", + "pr_type": "refactor", + "review_depth": "standard", + "risk_signals": [ + "changes API surface or request/response behavior" + ] + }, + "phases_completed": [ + "intake", + "anatomy", + "meta_selectors", + "review", + "adversary", + "cross_ref", + "coverage", + "synthesis", + "output" + ], + "plan": { + "ai_adjusted": false, + "cross_ref_hints": [], + "dimensions": [ + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/exceptions.py" + ], + "id": "semantic_sem-001", + "name": "Thread-local storage contract verification", + "priority": 10, + "review_prompt": "Investigate the thread-local storage contract for the new encryption functions. All four new functions (load_key, check_key, change_key, change_encryption_root) in encryption.py require the 'tls' parameter with 'lzh' attribute. Verify that EVERY caller of these functions in dataset_encryption_lock.py:222, dataset_encryption_info.py:107,201, dataset_encryption_operations.py:200,263, and kmip/zfs_keys.py:67,109 properly uses the @pass_thread_local_storage decorator. Check for any edge cases where tls might be None, leading to AttributeError at tls.lzh.open_resource(). Look for any code paths where decorators might be bypassed or where nested function calls could lose the tls context.", + "target_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py" + ], + "id": "mechanical_dim_tls_decorator_contract", + "name": "Thread-Local Storage Decorator Contract Verification", + "priority": 10, + "review_prompt": "Verify that ALL callers of functions decorated with @pass_thread_local_storage actually receive the 'tls' parameter through proper decorator application.\n\nFunctions requiring tls: load_key(), check_key(), change_key(), change_encryption_root() in zfs/encryption.py\n\nRequired checks:\n1. Verify kmip/zfs_keys.py:67 and 109 - are these function calls wrapped in @pass_thread_local_storage decorator?\n2. Verify dataset_encryption_info.py:107,201 - ensure check_key() and path_in_locked_datasets() receive tls through decorator chain\n3. Verify dataset_encryption_lock.py:222 - ensure load_key() caller is decorated\n4. Verify dataset_encryption_operations.py:200,263 - ensure change_key() and change_encryption_root() callers are decorated\n5. Search for any direct calls to these functions WITHOUT going through the decorator chain\n\nCritical: If tls is None, accessing tls.lzh will raise AttributeError. Each call path must be traced to verify the decorator is present in the complete call chain from entry point to ZFS function.", + "target_files": [ + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/exceptions.py" + ], + "id": "semantic_sem-002", + "name": "Exception contract change in check_key()", + "priority": 9, + "review_prompt": "Verify the exception contract change in check_key() function. The new implementation raises ZFSNotEncryptedException for non-rypted datasets instead of returning False. Trace through all callers: dataset_encryption_info.py lines 107-109 use broad Exception catching which could mask real errors; kmip/zfs_keys.py lines 67,109 expect exceptions to propagate up. Ensure the exception handling is consistent across all call sites. Check if there are any callers that still expect a boolean return and will break with the new exception-based flow. Verify the ZFSNotEncryptedException is properly defined in exceptions.py with correct inheritance chain.", + "target_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/zfs/exceptions.py" + ], + "id": "mechanical_dim_exception_contract_check_key", + "name": "check_key() Exception Contract Change Verification", + "priority": 9, + "review_prompt": "Verify that check_key() exception contract change is handled correctly in ALL call sites.\n\nOLD behavior: check_key() returned False for non-encrypted datasets\nNEW behavior: check_key() raises ZFSNotEncryptedException for non-encrypted datasets\n\nRequired checks:\n1. dataset_encryption_info.py:107-109 - verify it catches ZFSNotEncryptedException explicitly (not generic Exception) to handle non-encrypted datasets\n2. kmip/zfs_keys.py:67,109 - verify these call sites either catch ZFSNotEncryptedException or are designed to let it propagate (check expected behavior)\n3. Verify no code relies on check_key() returning False - search for any `if not check_key(...)` patterns\n4. Verify ZFSNotEncryptedException is properly imported in all files using check_key()\n\nRisk: Generic Exception catching masks real errors. Unhandled ZFSNotEncryptedException propagates as unexpected error to API consumers.", + "target_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py" + ], + "id": "semantic_sem-003", + "name": "Key format conversion and hex parsing errors", + "priority": 8, + "review_prompt": "Analyze the key format conversion from hex string to bytes across the codebase. RAW keys stored as hex strings in the database are converted via bytes.fromhex() in dataset_encryption_info.py lines 103-104, 178-182, and 196-198. Check that all ValueError exceptions from malformed hex are properly caught and handled with clear error messages. Verify that silent failures (setting key to None) don't propagate to cause confusing 'Missing key' errors later. Check for any other locations where hex encoding/decoding might fail. Ensure that malformed hex keys don't bypass validation and cause cryptic downstream failures.", + "target_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [], + "id": "semantic_sem-005", + "name": "Race condition in check_key vs load_key sequence", + "priority": 8, + "review_prompt": "Investigate the race condition between check_key() and load_key() operations. In encryption.py:57-59, check_key() opens a resource, validates the key, and returns. Between this check and the actual load_key() call, another process could load or unload the key. Trace all code paths where check_key() is followed by load_key() (dataset_encryption_lock.py, kmip/zfs_keys.py). Verify whether the system correctly handles the TOCTOU (time-of-check-time-of-use) race. Check if there are any synchronization mechanisms in place or if the code assumes single-threaded access to ZFS datasets.", + "target_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ] + } + ], + "total_budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + } + } + }, + "pr_url": "https://github.com/truenas/middleware/pull/18291", + "review": { + "body": "## \ud83d\udd34 PR-AF Review \u2014 **Needs Major Rework**\n\n*Automated multi-agent code review \u00b7 [PR-AF](https://github.com/Agent-Field/agentfield) built with [AgentField](https://github.com/Agent-Field/agentfield)*\n\n> **25 findings** \u00b7 \ud83d\udd34 6 critical \u00b7 \ud83d\udfe0 10 important \u00b7 \ud83d\udd35 9 suggestions \u00b7 \u26aa 0 nitpicks\n\n
\nPR Overview\n\nReplace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods. This removes another use case of our process pool.\r\n\r\nDepends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145.\n\n
\n\n### Key Findings\n\n**16 issue(s) should be addressed before merge:**\n\n- \ud83d\udd34 **Method name shadows imported function causing infinite recursion** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:200`) \u2014 **CRITICAL BUG**: The method `change_key` at line 121 shadows the imported function `change_key` from `middlewared.plugins.zfs.encryption` (imported at line 7).\n- \ud83d\udd34 **Duplicate export: PoolRemoveArgs appears twice in __all__ list** (`src/middlewared/middlewared/api/v26_0_0/pool.py:20`) \u2014 The `__all__` list contains `PoolRemoveArgs` twice (lines 20 and 21).\n- \ud83d\udd34 **Malformed hex key causes confusing 'Missing key' error instead of clear validation message** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:177`) \u2014 When a RAW format encryption key contains malformed hex, the code catches `ValueError` from `bytes.fromhex()` and sets `ds_key = None` (lines 179-182).\n- \ud83d\udd34 **KMIP push_zfs_keys() crashes when check_key() raises ZFSNotEncryptedException** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:64`) \u2014 The `check_key()` function now raises `ZFSNotEncryptedException` for non-encrypted datasets instead of returning `False`.\n- \ud83d\udd34 **KMIP pull_zfs_keys() crashes when check_key() raises ZFSNotEncryptedException** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:107`) \u2014 The `pull_zfs_keys()` method at lines 107-111 calls `check_key()` without exception handling.\n- \ud83d\udd34 **Generic Exception catching masks ZFSNotEncryptedException and real errors** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:106`) \u2014 The code at lines 106-109 catches generic `Exception` instead of the specific `ZFSNotEncryptedException`.\n- \ud83d\udfe0 **sync_db_keys() marks non-encrypted datasets for removal due to broad Exception catch** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:200`) \u2014 The `sync_db_keys()` method at lines 200-203 catches all exceptions from `check_key()` and sets `should_remove = True`.\n- \ud83d\udfe0 **Missing hex validation on encryption keys before database storage** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:26`) \u2014 The `insert_or_update_encrypted_record` method stores encryption keys in the database without validating they are valid hexadecimal strings.\n- \u2026 and 8 more (see All Findings by Severity)\n\n**9 suggestion(s) and style note(s):**\n\n- \ud83d\udd35 Key file validation uses different hex parsing logic than unlock path (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:101`)\n- \ud83d\udd35 Silent failure when hex decoding fails during unlock (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:177`)\n- \ud83d\udd35 No database-level constraints on encryption_key column (`src/middlewared/middlewared/plugins/pool_/dataset.py:41`)\n- \ud83d\udd35 Missing Key Validation Before Load in unlock() (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:221`)\n- \ud83d\udd35 Staleness of check_key() Result in pull_zfs_keys (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:107`)\n- \u2026 and 4 more (see All Findings by Severity)\n\n**Files with findings:** `src/middlewared/middlewared/api/v26_0_0/pool.py`, `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py`, `src/middlewared/middlewared/plugins/kmip/zfs_keys.py`, `src/middlewared/middlewared/plugins/pool_/dataset.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py`, `src/middlewared/middlewared/plugins/zfs/encryption.py`\n\n
\nAll Findings by Severity\n\n#### \ud83d\udd34 Critical (6)\n\n- **Method name shadows imported function causing infinite recursion** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:200`\n- **Duplicate export: PoolRemoveArgs appears twice in __all__ list** `src/middlewared/middlewared/api/v26_0_0/pool.py:20`\n- **Malformed hex key causes confusing 'Missing key' error instead of clear validation message** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:177`\n- **KMIP push_zfs_keys() crashes when check_key() raises ZFSNotEncryptedException** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:64`\n- **KMIP pull_zfs_keys() crashes when check_key() raises ZFSNotEncryptedException** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:107`\n- **Generic Exception catching masks ZFSNotEncryptedException and real errors** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:106`\n\n#### \ud83d\udfe0 Important (10)\n\n- **sync_db_keys() marks non-encrypted datasets for removal due to broad Exception catch** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:200`\n- **Missing hex validation on encryption keys before database storage** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:26`\n- **TOCTOU Race Condition in load_key() Function** `src/middlewared/middlewared/plugins/zfs/encryption.py:29`\n- **Breaking API change: pbkdf2iters minimum raised from 100000 to 1300000** `src/middlewared/middlewared/api/v26_0_0/pool.py:139`\n- **Breaking API change: PoolDatasetChangeKeyOptions.pbkdf2iters minimum raised from 100000 to 1300000** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:175`\n- **from_previous implementation silently modifies pbkdf2iters without notification** `src/middlewared/middlewared/api/v26_0_0/pool.py:153`\n- **Hardcoded minimum prevents users from choosing lower security settings** `src/middlewared/middlewared/api/v26_0_0/pool.py:139`\n- **Silent hex conversion failure preserves invalid string, causing potential downstream errors** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:102`\n- **Broad Exception catch masks ZFSNotEncryptedException as 'invalid key' in encryption_summary** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:106`\n- **Malformed hex keys in database cause unnecessary key removal during sync** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:196`\n\n#### \ud83d\udd35 Suggestion (9)\n\n- **Key file validation uses different hex parsing logic than unlock path** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:101`\n- **Silent failure when hex decoding fails during unlock** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:177`\n- **No database-level constraints on encryption_key column** `src/middlewared/middlewared/plugins/pool_/dataset.py:41`\n- **Missing Key Validation Before Load in unlock()** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:221`\n- **Staleness of check_key() Result in pull_zfs_keys** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:107`\n- **Significant performance impact from increased PBKDF2 iterations** `src/middlewared/middlewared/api/v26_0_0/pool.py:139`\n- **Missing key existence check in from_previous migration method** `src/middlewared/middlewared/api/v26_0_0/pool.py:151`\n- **Missing key existence check in PoolDatasetChangeKeyOptions.from_previous** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:183`\n- **Key Validation Without Subsequent Load in push_zfs_keys** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:65`\n\n
\n\n
\nReview Process Details\n\n**Meta-Dimension Lenses (3):**\n\n- **Semantic** \u2014 5 dimension(s), 85% coverage confidence\n- **Mechanical** \u2014 3 dimension(s), 85% coverage confidence\n- **Systemic** \u2014 3 dimension(s), 85% coverage confidence\n\n**Dimensions Analyzed (6):**\n\n- **Thread-local storage contract verification** \u2014 5 file(s)\n- **Thread-Local Storage Decorator Contract Verification** \u2014 4 file(s)\n- **Exception contract change in check_key()** \u2014 3 file(s)\n- **check_key() Exception Contract Change Verification** \u2014 2 file(s)\n- **Key format conversion and hex parsing errors** \u2014 1 file(s)\n- **Race condition in check_key vs load_key sequence** \u2014 3 file(s)\n\n**Cross-Reference & Adversary Analysis:**\n\n- **8** cross-change interaction(s) detected\n- **20** finding(s) adversarially tested: 4 confirmed, 16 challenged\n\n
\n\n
\nPipeline Stats\n\n| Metric | Value |\n|--------|-------|\n| Duration | 1120.0s |\n| Agent invocations | 20 |\n| Coverage iterations | 1 |\n| Estimated cost | N/A (provider does not report cost) |\n| Budget exhausted | Yes (timeout: 1120s > 900s limit) |\n| PR type | refactor |\n| Complexity | standard |\n\n
\n\nReview ID: `rev_4d1f3985141a`", + "comments": [ + { + "body": "\ud83d\udd34 **[CRITICAL] Method name shadows imported function causing infinite recursion**\n\n**CRITICAL BUG**: The method `change_key` at line 121 shadows the imported function `change_key` from `middlewared.plugins.zfs.encryption` (imported at line 7). When line 200 calls `change_key(tls, id_, encryption_dict, key)`, Python's name resolution (LEGB rule) binds the unqualified name `change_key` to the method in the class scope, NOT the module-level import.\n\nThis causes:\n1. **Infinite recursion**: The method calls itself instead of the encryption function\n2. **Type mismatch**: The recursive call binds parameters incorrectly:\n - `job` receives `tls` (thread-local object)\n - `tls` receives `id_` (string dataset name)\n - `id_` receives `encryption_dict` (dict)\n - `options` receives `key` (string)\n\n**Impact**: When users attempt to change encryption keys via the API, the system will crash with `RecursionError` or fail when trying to access attributes like `tls.lzh` on a string.\n\n**Root cause**: The import at line 7 brings `change_key` into the module namespace, but the method definition at line 121 creates a class attribute with the same name, shadowing the import within method bodies.\n\n---\n\n> Step 1: Import at line 7: `from middlewared.plugins.zfs.encryption import change_encryption_root, change_key`\n> Step 2: Method definition at line 121: `def change_key(self, job, tls, id_, options):`\n> Step 3: Call at line 200: `change_key(tls, id_, encryption_dict, key)`\n> Step 4: Python resolves `change_key` to the method (class scope), not the imported function (module scope)\n> Step 5: Method recursively calls itself with wrong parameter types causing RecursionError or AttributeError\n\n**\ud83d\udca1 Suggested Fix**\n\nRename the import to avoid shadowing: `from middlewared.plugins.zfs.encryption import change_key as zfs_change_key, change_encryption_root`, then update line 200 to call `zfs_change_key(tls, id_, encryption_dict, key)`. Alternatively, rename the method to `do_change_key` and update the API method decorator.\n\n---\n*`TLS Parameter Verification for @pass_thread_local_storage Decorated Functions` \u00b7 confidence 95%*", + "line": 200, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] sync_db_keys() marks non-encrypted datasets for removal due to broad Exception catch**\n\nThe `sync_db_keys()` method at lines 200-203 catches all exceptions from `check_key()` and sets `should_remove = True`. With the new exception contract, if a dataset is not encrypted but exists in the database, `check_key()` raises `ZFSNotEncryptedException`, which is caught and the dataset is marked for removal from the database.\n\n**Potential issue**: While removing non-encrypted datasets from the encryption database might be correct behavior, the broad exception catch also catches other legitimate errors (ZFS errors, I/O errors, etc.) and treats them the same way. A dataset with a valid key but experiencing a transient ZFS error would be incorrectly removed from the database.\n\n**Previous behavior**: Only datasets with genuinely invalid keys would return `False` and be marked for removal.\n**New behavior**: ANY exception (including ZFS errors, not just non-encrypted datasets) causes removal.\n\n---\n\n> Step 1: `sync_db_keys()` at line 194 iterates over `db_datasets`\n> Step 2: At line 201, calls `should_remove = not check_key(tls, ds_name, key=key)`\n> Step 3: Lines 200-203 use `except Exception:` to catch all exceptions and set `should_remove = True`\n> Step 4: `check_key()` raises `ZFSNotEncryptedException` for non-encrypted datasets\n> Step 5: Also catches any other ZFS errors, treating them all as 'invalid key' and removing from DB\n> Step 6: `should_remove = True` causes dataset to be added to `to_remove` list at line 205-206\n\n**\ud83d\udca1 Suggested Fix**\n\nCatch `ZFSNotEncryptedException` specifically and mark those datasets for removal (since they shouldn't be in the encryption database). Re-raise or handle other exceptions differently - perhaps log them and skip removal rather than assuming the key is invalid.\n\n---\n*`Exception Contract Change in check_key()` \u00b7 confidence 80%*", + "line": 200, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Missing hex validation on encryption keys before database storage**\n\nThe `insert_or_update_encrypted_record` method stores encryption keys in the database without validating they are valid hexadecimal strings. While the method correctly skips storing passphrase keys (lines 28-30), it does not validate that HEX format keys are properly formatted before storage.\n\nThe only hex validation in the codebase exists in `validate_encryption_data` (lines 101-106), but this only applies to keys read from file input pipes, not to keys provided directly via API parameters. When `options['key']` is provided directly, it bypasses the hex validation entirely.\n\nThis creates a data integrity risk where invalid hex keys could be stored in the database, only to fail later when retrieved and passed to `bytes.fromhex()` in unlock operations.\n\n---\n\n> Step 1: `insert_or_update_encrypted_record` is called from multiple locations:\n> - dataset.py:690-693 during dataset creation\n> - pool.py:524-530 during pool creation\n> - dataset_encryption_lock.py:344-346 during unlock\n> - dataset_encryption_operations.py:205 during key change\n> \n> Step 2: In `insert_or_update_encrypted_record` (lines 26-58), the key is stored directly:\n> ```python\n> data['encryption_key'] = data['encryption_key'] # Line 38 - no validation\n> ```\n> \n> Step 3: The only hex validation exists in `validate_encryption_data` (lines 101-106) but ONLY for file input:\n> ```python\n> if not key and job:\n> job.check_pipe('input')\n> key = job.pipes.input.r.read(64)\n> try:\n> key = hex(int(key, 16))[2:]\n> if len(key) != 64:\n> raise ValueError('Invalid key')\n> except ValueError:\n> verrors.add(f'{schema}.key_file', 'Please specify a valid key')\n> ```\n> \n> Step 4: When keys are retrieved for unlock operations (dataset_encryption_lock.py:177-182), they are passed to `bytes.fromhex()`:\n> ```python\n> if ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and ds_key:\n> try:\n> ds_key = bytes.fromhex(ds_key)\n> except ValueError:\n> ds_key = None\n> ```\n> \n> Step 5: The error is silently suppressed, meaning invalid keys stored in the database will silently fail to unlock datasets.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd hex validation in `insert_or_update_encrypted_record` before storing the key:\n\n```python\nif data['encryption_key'] and ZFSKeyFormat(key_format.upper()) == ZFSKeyFormat.HEX:\n try:\n # Validate it's a valid hex string of correct length (64 chars = 32 bytes)\n if len(data['encryption_key']) != 64 or int(data['encryption_key'], 16) < 0:\n raise ValueError('Invalid hex key format')\n except ValueError:\n raise CallError(f'Invalid hex encryption key format for {data[\"name\"]}')\n```\n\nAlternatively, move the hex validation to a common validation function that is called for ALL key inputs, not just file inputs.\n\n---\n*`Encryption Key Storage Validation` \u00b7 confidence 85%*", + "line": 26, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] TOCTOU Race Condition in load_key() Function**\n\nThe `load_key()` function in `encryption.py` contains a Time-Of-Check-Time-Of-Use (TOCTOU) race condition. At lines 32-34, the function first checks `crypto.info().key_is_loaded` and then immediately calls `crypto.load_key()`. Between this check and the actual load operation, another process or thread could load a key into the same ZFS dataset, causing the subsequent `load_key()` call to fail with an unexpected error.\n\nThe function does raise `ZFSKeyAlreadyLoadedException` if the key is loaded at check time, but this exception is not designed to handle the race where the key gets loaded AFTER the check but BEFORE the load. In a concurrent environment, this race window\u2014though small\u2014is non-zero and could lead to:\n1. Unnecessary error propagation to the caller\n2. Failed unlock operations even when valid keys are provided\n3. Inconsistent dataset states when multiple unlock operations are triggered concurrently\n\nThe ZFS kernel module provides atomic operations, but this Python wrapper introduces a race window by separating the check from the operation.\n\n---\n\n> Step 1: `load_key()` is called at encryption.py:29-34.\n> Step 2: Line 32 checks `crypto.info().key_is_loaded` - this is a separate ZFS operation.\n> Step 3: If key_is_loaded is False, execution proceeds to line 34.\n> Step 4: At line 34, `crypto.load_key(**kwargs)` is called.\n> Step 5: Between Step 2 and Step 4, another thread/process could successfully call `load_key()` on the same dataset.\n> Step 6: This causes the second `load_key()` call to fail with an unexpected ZFS error rather than the handled `ZFSKeyAlreadyLoadedException`.\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider removing the pre-check for `key_is_loaded` and instead directly attempt `crypto.load_key()`, catching the specific ZFS error that occurs when a key is already loaded. This reduces the race window to the atomic ZFS operation itself. Alternatively, implement a per-dataset locking mechanism to serialize key loading operations.\n\n---\n*`TOCTOU Race Between check_key() and load_key() Operations` \u00b7 confidence 75%*", + "line": 29, + "path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Breaking API change: pbkdf2iters minimum raised from 100000 to 1300000**\n\nThe `PoolCreateEncryptionOptions.pbkdf2iters` field changed its constraint from `ge=100000` (v25) to `ge=1300000` (v26). This is a **breaking API change** that will cause validation failures for API clients that explicitly set pbkdf2iters to any value between 100000 and 1299999.\n\n**Impact Analysis:**\n- **Silent behavioral change**: Clients relying on the default value (changed from 350000 to 1300000) will experience 3.7x slower encryption key derivation without warning\n- **Explicit validation failures**: Clients sending explicit values in the previously-valid range (100000-1299999) will receive Pydantic validation errors\n- **Breaking change for automation**: Scripts or integrations that hardcoded iteration values within the old range will fail when upgraded to API v26\n\n**Previous constraints (v25_10_2):**\n```python\npbkdf2iters: int = Field(ge=100000, default=350000)\n```\n\n**New constraints (v26_0_0):**\n```python\npbkdf2iters: int = Field(ge=1300000, default=1300000)\n```\n\nThe `from_previous` method (lines 151-154) mitigates this for clients *upgrading* API versions (by forcing values to max(1300000, old_value)), but this does not help:\n1. New API v26 clients making fresh calls\n2. Clients who migrate to v26 without going through upgrade path\n3. Configuration-as-code tools that validate against the new schema\n\nThe security improvement (higher minimum iterations) is valid, but should be introduced with deprecation warnings or a transitional period.\n\n---\n\n> Step 1: Client on API v26 calls pool.create with encryption_options={'pbkdf2iters': 500000, 'passphrase': 'secret'}\n> Step 2: Pydantic validates the input against PoolCreateEncryptionOptions at line 139\n> Step 3: Field constraint ge=1300000 rejects 500000 as below minimum\n> Step 4: ValidationError raised with message about failing ge constraint\n> \n> Evidence from v25_10_2/pool.py line 167: pbkdf2iters: int = Field(ge=100000, default=350000)\n> Evidence from v26_0_0/pool.py line 139: pbkdf2iters: int = Field(ge=1300000, default=1300000)\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider one of the following approaches:\n1. **Soft deprecation path**: Keep ge=100000 for one release cycle, log deprecation warnings for values < 1300000, then enforce the new minimum in v27\n2. **Document migration requirements**: Explicitly document that API v26 requires clients to update their pbkdf2iters values\n3. **Conditional validation**: Use a model_validator to allow old values during a transition period with warnings\n\nIf this change is intentional and acceptable as a breaking change in a major version, ensure it is prominently documented in the API changelog with clear migration instructions.\n\n---\n*`Coverage gap review - cluster_1 API schema changes` \u00b7 confidence 90%*", + "line": 139, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Breaking API change: PoolDatasetChangeKeyOptions.pbkdf2iters minimum raised from 100000 to 1300000**\n\nThe `PoolDatasetChangeKeyOptions.pbkdf2iters` field changed its constraint from `ge=100000` (v25) to `ge=1300000` (v26). This is a breaking change for the `pool.dataset.change_key` endpoint.\n\n**Impact Analysis:**\n- Clients calling `pool.dataset.change_key` with explicit pbkdf2iters values between 100000-1299999 will receive validation errors\n- Clients relying on the default (350000 -> 1300000) will experience slower key derivation without warning\n\n**Previous (v25_10_2 line 175):**\n```python\npbkdf2iters: int = Field(default=350000, ge=100000)\n```\n\n**New (v26_0_0 line 175):**\n```python\npbkdf2iters: int = Field(default=1300000, ge=1300000)\n```\n\nThis change mirrors the issue in PoolCreateEncryptionOptions but affects the dataset key change operation specifically.\n\n---\n\n> Step 1: Client calls pool.dataset.change_key with options={'pbkdf2iters': 200000, 'passphrase': 'newsecret'}\n> Step 2: Pydantic validates PoolDatasetChangeKeyOptions at line 175\n> Step 3: ge=1300000 constraint fails for value 200000\n> Step 4: ValidationError raised\n> \n> Evidence from v25_10_2/pool_dataset.py line 175: pbkdf2iters: int = Field(default=350000, ge=100000)\n> Evidence from v26_0_0/pool_dataset.py line 175: pbkdf2iters: int = Field(default=1300000, ge=1300000)\n\n**\ud83d\udca1 Suggested Fix**\n\nApply the same migration strategy as PoolCreateEncryptionOptions. Consider soft deprecation with warnings before enforcing the new minimum, or clearly document this as a breaking change requiring client updates.\n\n---\n*`Coverage gap review - cluster_1 API schema changes` \u00b7 confidence 90%*", + "line": 175, + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] from_previous implementation silently modifies pbkdf2iters without notification**\n\nThe `from_previous` classmethod at lines 151-154 silently increases pbkdf2iters to 1300000 without any warning or indication to the client. While this ensures compatibility, it creates a **silent behavioral change** that may confuse users.\n\n```python\n@classmethod\ndef from_previous(cls, value):\n value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n return value\n```\n\n**Issues:**\n1. **Silent upgrade**: A client requesting 350000 iterations (for performance reasons) will silently get 1300000 instead, making encryption/unlocking 3.7x slower without any indication\n2. **No audit trail**: The system doesn't log that it modified the requested value\n3. **Performance surprise**: Users who explicitly chose lower iterations for performance will experience unexplained slowdowns\n4. **No opt-out**: There's no way for clients to preserve the old behavior during transition\n\nThis pattern also exists in PoolDatasetChangeKeyOptions.from_previous (pool_dataset.py:183-186).\n\n---\n\n> Step 1: Client on API v25 calls pool.create with encryption_options={'pbkdf2iters': 350000}\n> Step 2: API version adapter detects UPGRADE direction and calls PoolCreateEncryptionOptions.from_previous at line 233 of version.py\n> Step 3: from_previous silently replaces 350000 with 1300000 via max() operation\n> Step 4: New value 1300000 is validated (passes ge=1300000) and used\n> Step 5: Client gets 3.7x slower encryption without any notification\n> \n> Evidence: version.py line 233 calls new_model.from_previous(value) during UPGRADE\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a warning log when from_previous increases the value:\n```python\n@classmethod\ndef from_previous(cls, value):\n old_value = value.get('pbkdf2iters', 350000)\n new_value = max(1300000, old_value)\n if new_value > old_value:\n logger.warning(\n 'pbkdf2iters automatically increased from %d to %d for security compliance',\n old_value, new_value\n )\n value['pbkdf2iters'] = new_value\n return value\n```\nAlternatively, return a response header or metadata indicating the value was modified.\n\n---\n*`Coverage gap review - cluster_1 API schema changes` \u00b7 confidence 85%*", + "line": 153, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Hardcoded minimum prevents users from choosing lower security settings**\n\nThe `ge=1300000` constraint combined with the `from_previous` migration means users CANNOT choose lower iteration counts even if they understand the security trade-offs and prioritize unlock speed. This removes user agency and could be problematic for: development/test environments where fast unlock is preferred, systems with weak CPUs where 1.3M iterations cause unacceptable delays, and emergency recovery scenarios. The old API allowed any value >= 100000. The new API forces >= 1300000 with no opt-out.\n\n---\n\n> Step 1: v25_10_2 allowed pbkdf2iters >= 100000 (Field(ge=100000, default=350000)). Step 2: v26_0_0 requires pbkdf2iters >= 1300000 (Field(ge=1300000, default=1300000)). Step 3: from_previous uses max() to force upgrade of any existing lower values. Step 4: No mechanism exists for users to opt-out of this minimum requirement. Step 5: This is a breaking change that removes flexibility for edge cases.\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider whether the hard minimum of 1300000 is appropriate for all use cases, or if there should be an escape hatch for users who need lower iteration counts and accept the security trade-offs. At minimum, document why this specific value was chosen and what users should expect.\n\n---\n*`Root cluster coverage gap review` \u00b7 confidence 70%*", + "line": 139, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] KMIP push_zfs_keys() crashes when check_key() raises ZFSNotEncryptedException**\n\nThe `check_key()` function now raises `ZFSNotEncryptedException` for non-encrypted datasets instead of returning `False`. The KMIP `push_zfs_keys()` method at lines 64-69 calls `check_key()` without any exception handling, expecting a boolean return value.\n\n**Impact**: If a dataset in the database is not actually encrypted (e.g., encryption was removed, or database is out of sync with ZFS), the entire `push_zfs_keys()` operation will crash with an unhandled exception. This could prevent KMIP key synchronization from completing, leaving encryption keys in an inconsistent state.\n\n**The code path**:\n1. `push_zfs_keys()` iterates over datasets from database (line 59)\n2. For each dataset without `encryption_key`, it checks if the in-memory key is valid (line 67)\n3. `check_key()` raises `ZFSNotEncryptedException` if the dataset is not encrypted\n4. Exception propagates uncaught, aborting the entire sync operation\n\n---\n\n> Step 1: `push_zfs_keys()` at line 56 iterates over `existing_datasets` from database\n> Step 2: At line 64-69, for datasets without `encryption_key`, it checks `if ds['name'] in self.zfs_keys and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])`\n> Step 3: `check_key()` in encryption.py:57-58 raises `ZFSNotEncryptedException(dataset)` when `rsrc.crypto()` returns None (dataset not encrypted)\n> Step 4: No exception handling in this code path causes unhandled exception to propagate up\n> Step 5: This aborts the entire KMIP key push operation, potentially leaving other datasets unsynchronized\n\n**\ud83d\udca1 Suggested Fix**\n\nWrap the `check_key()` call in a try-except block to catch `ZFSNotEncryptedException` and handle it appropriately. Options:\n1. Skip datasets that are not encrypted (they don't need KMIP key management)\n2. Log a warning and continue with other datasets\n3. Consider removing such datasets from `self.zfs_keys` since they shouldn't have encryption keys\n\n---\n*`Exception Contract Change in check_key()` \u00b7 confidence 95%*", + "line": 64, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] KMIP pull_zfs_keys() crashes when check_key() raises ZFSNotEncryptedException**\n\nThe `pull_zfs_keys()` method at lines 107-111 calls `check_key()` without exception handling. Similar to `push_zfs_keys()`, if a dataset is not encrypted but exists in `self.zfs_keys`, the call to `check_key()` will raise `ZFSNotEncryptedException` and crash the operation.\n\n**Impact**: The KMIP key pull operation will fail entirely if any dataset in the iteration is not encrypted. This prevents migrating keys from KMIP server back to local database for datasets that are actually encrypted, because the operation aborts on the first non-encrypted dataset encountered.\n\n---\n\n> Step 1: `pull_zfs_keys()` at line 99 iterates over `existing_datasets` with KMIP UIDs\n> Step 2: At lines 107-111, it checks `elif ds['name'] in self.zfs_keys and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])`\n> Step 3: `check_key()` in encryption.py:57-58 raises `ZFSNotEncryptedException` if dataset not encrypted\n> Step 4: No try-except block catches this exception in `pull_zfs_keys()`\n> Step 5: Unhandled exception aborts the entire key pull operation, preventing other datasets from being synchronized\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd explicit exception handling for `ZFSNotEncryptedException` around the `check_key()` call at lines 107-109. When a dataset is not encrypted, it should be skipped (continue to next dataset) or handled appropriately rather than crashing the entire operation.\n\n---\n*`Exception Contract Change in check_key()` \u00b7 confidence 95%*", + "line": 107, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Generic Exception catching masks ZFSNotEncryptedException and real errors**\n\nThe code at lines 106-109 catches generic `Exception` instead of the specific `ZFSNotEncryptedException`. This has two serious problems:\n\n1. **Real errors are masked**: Any actual error (ZFS communication failure, invalid dataset name, memory errors, etc.) will be silently converted to `valid_key = False`, making it indistinguishable from a non-encrypted dataset case.\n\n2. **Missing specific exception import**: The file does not import `ZFSNotEncryptedException` from `middlewared.plugins.zfs.exceptions`, which is required for proper exception handling.\n\nThe OLD behavior was: `check_key()` returned `False` for non-encrypted datasets.\nThe NEW behavior is: `check_key()` raises `ZFSNotEncryptedException` for non-encrypted datasets.\n\nThe current code catches the new exception, but also catches ALL other exceptions, including critical failures that should be propagated to the caller or logged as errors.\n\n---\n\n> Step 1: `encryption_summary()` calls `check_key(tls, name, key=ds_key)` at line 107\n> Step 2: For non-encrypted datasets, `check_key()` raises `ZFSNotEncryptedException` (encryption.py:58)\n> Step 3: The generic `except Exception:` at line 108 catches this AND any other exception\n> Step 4: `valid_key = False` is set regardless of whether it's a non-encrypted dataset or a real error\n> Step 5: Real errors (ZFS failures, communication issues) are masked and logged as routine 'invalid key' cases\n\n**\ud83d\udca1 Suggested Fix**\n\nImport `ZFSNotEncryptedException` and catch it specifically. Re-raise or log other exceptions appropriately. Recommended change:\n\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSNotEncryptedException\n\ntry:\n valid_key = check_key(tls, name, key=ds_key)\nexcept ZFSNotEncryptedException:\n valid_key = False\nexcept Exception as e:\n self.logger.error('Failed to check key for %s: %s', name, e, exc_info=True)\n valid_key = False\n```\n\n---\n*`check_key() Exception Contract Review` \u00b7 confidence 95%*", + "line": 106, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Silent hex conversion failure preserves invalid string, causing potential downstream errors**\n\nIn `encryption_summary()` at lines 102-104, malformed hex keys are silently suppressed using `contextlib.suppress(ValueError)`. When `bytes.fromhex()` fails, the original hex string is preserved instead of being converted to bytes. This means an invalid hex string gets passed to `check_key()` at line 107.\n\nWhile `check_key()` may handle this gracefully, this creates an inconsistent state where:\n- The code expects `ds_key` to be bytes for RAW format\n- But it may actually be a string (the original malformed hex)\n\nThis violates type expectations and could cause subtle bugs. The `valid_key` result at line 107 will likely be `False` for malformed keys (caught by generic Exception handler at line 108-109), but the user gets no indication that their key format was invalid.\n\n---\n\n> Step 1: `encryption_summary` processes a dataset with RAW key format\n> Step 2: Line 102-104: `bytes.fromhex(ds_key)` raises ValueError, silently suppressed\n> Step 3: `ds_key` remains a string (the invalid hex), not bytes as expected\n> Step 4: Line 107: `check_key()` called with invalid type (string instead of bytes)\n> Step 5: Generic Exception handler catches and sets `valid_key = False`\n> Step 6: User sees 'valid_key: false' with no indication the key format was invalid\n\n**\ud83d\udca1 Suggested Fix**\n\nInstead of silently suppressing the error, either:\n1. Track that the key format was invalid and include this in the response (e.g., add 'key_format_invalid' field to results)\n2. Set `ds_key = None` when conversion fails to ensure consistent types\n3. Raise a validation error if this is called via an API that should reject invalid keys upfront\n\n---\n*`Hex String to Bytes Conversion Error Handling` \u00b7 confidence 85%*", + "line": 102, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Broad Exception catch masks ZFSNotEncryptedException as 'invalid key' in encryption_summary**\n\nThe `encryption_summary()` method uses a broad `except Exception:` catch at lines 106-109 to handle any exception from `check_key()`. While this prevents crashes, it semantically conflates 'dataset is not encrypted' with 'key is invalid'.\n\n**Previous behavior**: `check_key()` returned `False` for non-encrypted datasets, which was set as `valid_key = False`\n**New behavior**: `check_key()` raises `ZFSNotEncryptedException`, which is caught and also sets `valid_key = False`\n\n**Issue**: The user sees 'valid_key: false' but cannot distinguish between:\n1. The dataset is not encrypted (shouldn't even be in the encryption summary)\n2. The provided key is actually invalid\n\nThis could mislead users trying to unlock datasets that aren't actually encrypted.\n\n---\n\n> Step 1: `encryption_summary()` at line 100 iterates over encrypted datasets from `query_encrypted_datasets()`\n> Step 2: At line 107, it calls `check_key(tls, name, key=ds_key)`\n> Step 3: If dataset is not encrypted, `check_key()` raises `ZFSNotEncryptedException` (encryption.py:58)\n> Step 4: Lines 106-109 catch ALL exceptions and set `valid_key = False`\n> Step 5: The user cannot distinguish between 'not encrypted' vs 'wrong key' - both show as `valid_key: false`\n\n**\ud83d\udca1 Suggested Fix**\n\nCatch `ZFSNotEncryptedException` specifically and handle it differently from other exceptions. Options:\n1. Skip non-encrypted datasets from the results entirely (they shouldn't appear in an 'encryption summary')\n2. Add a specific flag or error message indicating the dataset is not encrypted\n3. Consider filtering non-encrypted datasets earlier in the method before calling `check_key()`\n\n---\n*`Exception Contract Change in check_key()` \u00b7 confidence 85%*", + "line": 106, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Malformed hex keys in database cause unnecessary key removal during sync**\n\nIn `sync_db_keys()` at lines 196-198, malformed hex keys from the database are silently suppressed using `contextlib.suppress(ValueError)`. When `bytes.fromhex()` fails, the original hex string is preserved and passed to `check_key()` at line 201.\n\nIf `check_key()` fails (which is likely with a malformed key), the dataset is marked for removal from the database at line 206. This means:\n1. A user stores a valid hex key in the database\n2. Somehow the key becomes corrupted in the database (manual edit, migration issue, etc.)\n3. The periodic sync job (runs every 86400 seconds) sees the malformed key\n4. The malformed key fails validation and is removed from the database\n5. The user loses their encryption key permanently\n\nThis is a data loss scenario - corrupted keys in the database should not be silently deleted; instead, an error should be logged alerting administrators to the corruption.\n\n---\n\n> Step 1: Periodic job `sync_db_keys` runs (every 86400 seconds via @periodic decorator)\n> Step 2: Line 196-198: Database key fails `bytes.fromhex()`, silently suppressed\n> Step 3: Original invalid string passed to `check_key()` at line 201\n> Step 4: `check_key()` likely fails (returns False or raises)\n> Step 5: Line 206: Dataset name added to `to_remove` list\n> Step 6: Line 212: Corrupted key deleted from database permanently\n\n**\ud83d\udca1 Suggested Fix**\n\nInstead of silently suppressing the error and potentially deleting corrupted keys:\n1. Log an explicit error when hex conversion fails, including the dataset name\n2. Do NOT remove keys that fail hex conversion - they might be recoverable\n3. Consider adding a validation check when keys are INSERTED/UPDATED in the database to prevent invalid hex from being stored in the first place\n\n---\n*`Hex String to Bytes Conversion Error Handling` \u00b7 confidence 80%*", + "line": 196, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] Missing Key Validation Before Load in unlock()**\n\nThe `unlock()` method in `dataset_encryption_lock.py` directly calls `load_key()` at line 222 without first calling `check_key()` to validate the key. While this avoids a TOCTOU race between check and load (since there's no check), it means that invalid keys will only be discovered during the load attempt, potentially leaving the dataset in a partially processed state.\n\nThe current implementation catches `ZFSException` and handles `EZFS_CRYPTOFAILED` as 'Invalid Key', which is correct. However, the investigation prompt suggested looking for `check_key()` followed by `load_key()` patterns. In this file, no such pattern exists\u2014the code correctly avoids the TOCTOU by not checking before loading.\n\nThe job lock at line 93 (`@job(lock=lambda args: f'dataset_unlock_{args[0]}')`) provides some serialization for unlock operations targeting the same dataset, but different datasets can still be unlocked concurrently, and the ZFS resource operations themselves are not protected by this high-level lock.\n\n---\n\n> Step 1: `unlock()` job acquires lock for specific dataset ID at line 93.\n> Step 2: At line 222, `load_key(tls, name, key=datasets[name]['key'])` is called directly.\n> Step 3: No `check_key()` call precedes this load operation.\n> Step 4: Lines 223-231 catch exceptions from the load operation.\n> Observation: The code correctly avoids TOCTOU by not separating validation from action, though this means error feedback is only available after attempting the operation.\n\n**\ud83d\udca1 Suggested Fix**\n\nThe current approach of loading directly and catching exceptions is actually safer than check-then-load. No change needed unless you want to add pre-validation for better error messages. If pre-validation is added, ensure it's understood that the validation result could be stale by the time load is called.\n\n---\n*`TOCTOU Race Between check_key() and load_key() Operations` \u00b7 confidence 60%*", + "line": 221, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] Staleness of check_key() Result in pull_zfs_keys**\n\nIn `pull_zfs_keys()` at lines 107-111, `check_key()` is used to determine if an in-memory key is valid for a dataset. If valid, the key is used for database updates (line 120) but NOT for loading into ZFS.\n\nThe validation at line 109 confirms the key can unlock the dataset at that moment, but the actual use of the key is for database operations (line 120: `update_data = {'encryption_key': key, 'kmip_uid': None}`). This is appropriate usage because:\n1. No `load_key()` follows the `check_key()`\n2. The database update doesn't depend on the current ZFS state\n\nHowever, the check validates against current ZFS state, which could change before any future unlock operation. This is a minor concern about validation staleness rather than a TOCTOU race.\n\n---\n\n> Step 1: At line 109, `check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])` validates the in-memory key.\n> Step 2: If True, line 111 assigns the key to a local variable.\n> Step 3: Lines 119-121 use this key to update the database, not to load into ZFS.\n> Step 4: No `load_key()` call exists in this code path.\n> Observation: The check is used to select a key source, not to validate before an action.\n\n**\ud83d\udca1 Suggested Fix**\n\nNo immediate fix needed. The `check_key()` usage here is for determining which key source to use (in-memory vs KMIP vs database). The validation result staleness is acceptable because the key will be validated again when actually used for unlocking. Consider adding a comment explaining that this is a point-in-time validation.\n\n---\n*`TOCTOU Race Between check_key() and load_key() Operations` \u00b7 confidence 60%*", + "line": 107, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] Significant performance impact from increased PBKDF2 iterations**\n\nThe default `pbkdf2iters` was increased from 350,000 to 1,300,000 (3.7x increase). This is a security improvement against brute force attacks, but it will significantly increase unlock times for passphrase-encrypted datasets. Users with passphrase-encrypted pools will experience ~3-4x longer unlock times without warning. This could impact system boot time for encrypted pools, dataset unlock operations, and user experience for large-scale deployments. Consider adding a release note or documentation about this performance trade-off.\n\n---\n\n> Step 1: Previous API versions (v25_10_2) had default=350000, ge=100000. Step 2: New v26_0_0 has default=1300000, ge=1300000. Step 3: PBKDF2 iterations directly correlate with unlock time - higher iterations = slower unlock. Step 4: Users upgrading to v26 who had passphrase-encrypted pools will see significantly longer unlock times without any warning.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd documentation or release notes warning users about increased unlock times for passphrase-encrypted datasets. Consider allowing users to explicitly set a lower value if they understand the security trade-offs (the ge=1300000 constraint currently prevents this).\n\n---\n*`Root cluster coverage gap review` \u00b7 confidence 75%*", + "line": 139, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] Missing key existence check in from_previous migration method**\n\nThe `from_previous` classmethod in `PoolCreateEncryptionOptions` accesses `value['pbkdf2iters']` without first checking if the key exists. While this may work in normal API flows where pydantic populates defaults before migration, it's a fragile pattern that could cause a `KeyError` if called with incomplete data during API version transitions or internal usage. The method should use `.get()` with a default value or check key existence before accessing it.\n\n---\n\n> Step 1: `from_previous` is called during API version migrations to convert data from previous API versions. Step 2: The method directly accesses `value['pbkdf2iters']` at line 153 without checking key existence. Step 3: If the input dict lacks this key (e.g., from malformed client data or internal calls), a KeyError will be raised. Step 4: This causes an unhandled exception instead of graceful migration.\n\n**\ud83d\udca1 Suggested Fix**\n\nChange `value['pbkdf2iters']` to `value.get('pbkdf2iters', 1300000)` to safely handle cases where the key might not be present.\n\n---\n*`Root cluster coverage gap review` \u00b7 confidence 65%*", + "line": 151, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] Missing key existence check in PoolDatasetChangeKeyOptions.from_previous**\n\nSame issue as in pool.py - the `from_previous` method in `PoolDatasetChangeKeyOptions` accesses `value['pbkdf2iters']` without checking if the key exists first. This could cause a `KeyError` in edge cases during API version migrations.\n\n---\n\n> Step 1: The `from_previous` method is designed to migrate data from previous API versions. Step 2: Line 185 directly accesses dictionary key without existence check. Step 3: While pydantic typically populates defaults, internal calls or edge cases could omit this key. Step 4: This results in KeyError instead of graceful handling.\n\n**\ud83d\udca1 Suggested Fix**\n\nUse `value.get('pbkdf2iters', 1300000)` instead of `value['pbkdf2iters']` to safely handle missing keys.\n\n---\n*`Root cluster coverage gap review` \u00b7 confidence 65%*", + "line": 183, + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] Key Validation Without Subsequent Load in push_zfs_keys**\n\nIn `push_zfs_keys()` at lines 65-76, `check_key()` is called to validate an in-memory key. If the check passes, the code continues to the next iteration (line 69). If it fails, the code attempts to retrieve the key from KMIP.\n\nWhile there's no `load_key()` call immediately following the `check_key()` in this specific code path, there is a logical issue: the `check_key()` validates the key against the ZFS dataset's current state, but by the time the key is used (potentially later in the same method or by other callers), the dataset state may have changed. The validation result has a limited time window of validity.\n\nHowever, this is not a TOCTOU race in the traditional sense because no action is taken based on the check result other than skipping to the next dataset. The investigation prompt asked about `check_key()` followed by `load_key()` patterns\u2014this file does not contain such a pattern.\n\n---\n\n> Step 1: At line 67, `check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])` is called.\n> Step 2: If True, the code executes `continue` at line 69 and proceeds to the next dataset.\n> Step 3: If False or exception, lines 71-76 retrieve and store the key from KMIP.\n> Observation: No `load_key()` follows the `check_key()` call. The check is used for decision-making, not for validating before an action.\n\n**\ud83d\udca1 Suggested Fix**\n\nThe usage of `check_key()` here is appropriate for determining whether to retrieve a key from KMIP. However, be aware that the validation result represents a point-in-time check and may not reflect the state when the key is actually used. Consider documenting this behavior or adding comments about the temporal nature of the validation.\n\n---\n*`TOCTOU Race Between check_key() and load_key() Operations` \u00b7 confidence 60%*", + "line": 65, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "side": "RIGHT" + } + ], + "event": "REQUEST_CHANGES" + }, + "review_id": "rev_4d1f3985141a", + "summary": { + "adversary_challenged": 16, + "adversary_confirmed": 4, + "ai_generated_confidence": 0, + "budget_exhausted": true, + "by_severity": { + "critical": 6, + "important": 10, + "suggestion": 9 + }, + "cost_usd": 0, + "coverage_iterations": 1, + "cross_ref_interactions": 8, + "dimensions_run": 6, + "duration_seconds": 1120.021, + "total_findings": 25 + } + }, + "started_at": "2026-03-10T11:34:53Z", + "completed_at": "2026-03-10T11:53:35Z", + "duration_ms": 1122026, + "webhook_registered": false +} diff --git a/benchmark/truenas-middleware-18291/pr-af-result-sonnet.json b/benchmark/truenas-middleware-18291/pr-af-result-sonnet.json new file mode 100644 index 0000000..adcef99 --- /dev/null +++ b/benchmark/truenas-middleware-18291/pr-af-result-sonnet.json @@ -0,0 +1,1086 @@ +{ + "execution_id": "exec_20260310_144121_rkn7qq8x", + "run_id": "run_20260310_144121_ji0fblzy", + "status": "succeeded", + "result": { + "findings": [ + { + "active_multipliers": [], + "body": "`get_encrypted_datasets` returns a `list` of dataset dicts (each a `dict` with keys `'name'`, `'id'`, `'encryption_key'`, `'kmip_uid'`, etc.). The in-memory key cache is a `dict[str, bytes]` keyed by dataset name.\n\nAt line 94 (and identically at line 125), the filter expression `if k in existing_datasets` checks whether the **string** `k` (a dataset name) is a member of a **list of dicts**. Python's `in` operator for lists uses `==` equality \u2014 a string will never equal a dict, so this membership test is **always `False`** for every dataset name.\n\nAs a result, **`self.zfs_keys` is emptied to `{}` after every call to `push_zfs_keys` or `pull_zfs_keys`**, regardless of which datasets were actually processed. This defeats the entire purpose of the in-memory key cache: subsequent calls cannot reuse previously loaded keys, and the optimization at lines 64-69 and 107-111 (skipping KMIP retrieval when the key is already known and valid) will never trigger after the first sync.\n\nThe fix should use `{ds['name'] for ds in existing_datasets}` to build a set of names for the membership check.", + "confidence": 0.97, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "decorator_injection", + "dimension_name": "Decorator Double-Injection Analysis", + "evidence": "Step 1: `get_encrypted_datasets` (lines 33-52) builds `rv` by appending `ds_in_db[i['name']]` \u2014 each element is a dict like `{'id': 1, 'name': 'pool/ds', 'encryption_key': ..., 'kmip_uid': ...}`.\nStep 2: `push_zfs_keys` line 59: `existing_datasets = self.get_encrypted_datasets(filters)` \u2192 list of dicts.\nStep 3: Line 94: `{k: v for k, v in self.zfs_keys.items() if k in existing_datasets}` \u2014 `k` is a string (e.g. `'pool/ds'`), `existing_datasets` is a list of dicts. Python evaluates `'pool/ds' == {'id': 1, 'name': 'pool/ds', ...}` \u2192 `False` for every element.\nStep 4: All items are filtered out. `self.zfs_keys` becomes `{}`.\nStep 5: Same logic applies identically at line 125 in `pull_zfs_keys`.\nStep 6: On the next call, lines 64-69 check `ds['name'] in self.zfs_keys` \u2192 always `False` \u2192 unnecessary KMIP round-trips for every dataset on every sync.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_001", + "line_end": 94, + "line_start": 94, + "score": 0.97, + "severity": "critical", + "suggestion": "Change both occurrences to build a name-set first:\n\n```python\n# Line 94 in push_zfs_keys:\nexisting_names = {ds['name'] for ds in existing_datasets}\nself.zfs_keys = {k: v for k, v in self.zfs_keys.items() if k in existing_names}\n\n# Line 125 in pull_zfs_keys:\nexisting_names = {ds['name'] for ds in existing_datasets}\nself.zfs_keys = {k: v for k, v in self.zfs_keys.items() if k in existing_names}\n```\n\nThis restores the intended behavior: evict cache entries for datasets that no longer exist, while preserving entries for datasets that do.", + "tags": [ + "logic-error", + "cache", + "silent-data-loss", + "membership-check" + ], + "title": "zfs_keys cache silently wiped on every push/pull: `k in existing_datasets` checks string in list-of-dicts" + }, + { + "active_multipliers": [], + "body": "The `datastore.update` API signature is `(table: str, id: int, data: dict)`. At line 157, the call is:\n\n```python\nawait self.middleware.call('datastore.update', 'storage.encrypteddataset', {'kmip_uid': None})\n```\n\nThis passes **only two positional arguments** after the method name: `table='storage.encrypteddataset'` and `id={'kmip_uid': None}`. The `data` dict argument is missing entirely. The middleware will either raise a `TypeError` due to wrong argument count/types, or silently misinterpret `{'kmip_uid': None}` as the row `id`, attempting to look up a row by dict identity \u2014 which will fail.\n\nThe intent (from surrounding context in `clear_sync_pending_zfs_keys`, lines 153-161) is clearly to update the specific dataset record `ds` to clear its `kmip_uid`. The missing argument is `ds['id']`.\n\nThis means `clear_sync_pending_zfs_keys` will **always raise an error** when processing any dataset whose `encryption_key` is set, leaving `kmip_uid` values un-cleared and the sync-pending state stale.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "decorator_injection", + "dimension_name": "Decorator Double-Injection Analysis", + "evidence": "Step 1: `clear_sync_pending_zfs_keys` at lines 153-160 iterates over encrypted datasets with non-null `kmip_uid`.\nStep 2: For a dataset where `ds['encryption_key']` is truthy (line 156), it calls `datastore.update` at line 157.\nStep 3: The call is `('datastore.update', 'storage.encrypteddataset', {'kmip_uid': None})` \u2014 three args total, but `datastore.update` requires four: `(method, table, id, data)`.\nStep 4: Compare with correct usages at line 93: `self.middleware.call_sync('datastore.update', 'storage.encrypteddataset', ds['id'], update_data)` and line 121: same pattern with `ds['id']`.\nStep 5: The missing `ds['id']` means the dict `{'kmip_uid': None}` is passed as the `id` parameter \u2014 this will cause a runtime error in the datastore layer when it tries to use a dict as a row identifier.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_002", + "line_end": 157, + "line_start": 157, + "score": 0.95, + "severity": "critical", + "suggestion": "Add the missing `ds['id']` argument:\n\n```python\nawait self.middleware.call('datastore.update', 'storage.encrypteddataset', ds['id'], {'kmip_uid': None})\n```\n\nThis matches the pattern used elsewhere in the codebase (e.g., line 93 and line 121).", + "tags": [ + "runtime-error", + "wrong-arguments", + "data-integrity", + "typo" + ], + "title": "Missing `id` argument in `datastore.update` call \u2014 wrong argument count, update never applied to correct row" + }, + { + "active_multipliers": [], + "body": "**The old comparison was provably always `False`.**\n\nIn the prior code (`bde8f1de3b`), the guard in `inherit_parent_encryption_properties_impl` read:\n\n```python\nif ZFSKeyFormat(parent_encrypted_root.key_format.value) == ZFSKeyFormat.PASSPHRASE.value:\n```\n\nThe left-hand side is `ZFSKeyFormat('PASSPHRASE')` \u2014 a `ZFSKeyFormat` enum *instance* \u2014 while the right-hand side is `ZFSKeyFormat.PASSPHRASE.value` \u2014 the raw string `'PASSPHRASE'`. Python's `==` for `Enum` instances does **not** fall back to comparing against the `.value`; an enum member only equals itself (or another member with the same identity), never a plain string. This was verified:\n\n```\nZFSKeyFormat('PASSPHRASE') == 'PASSPHRASE' # \u2192 False, always\n```\n\n**What the guard was supposed to do:** prevent a key-encrypted dataset (`id_`) that has its own key-encrypted child encryption roots from inheriting a passphrase-encrypted parent root. If such a dataset were allowed to inherit, its key-encrypted children would end up under a passphrase root, violating the invariant that passphrase roots cannot have key-encrypted encryption-root descendants.\n\n**Behavioral change introduced by the fix:** The new code uses:\n\n```python\nif parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:\n```\n\nThis is a string-to-string comparison (`'PASSPHRASE' == 'PASSPHRASE'`) that evaluates to `True` correctly. For the first time, the inner `any(...)` check that looks for key-encrypted child encryption roots is actually executed, and if any are found, a `CallError` is raised, preventing the operation.\n\n**Concrete scenario now blocked that was previously silently allowed:**\n\n1. Pool `tank` has dataset `tank/passroot` encrypted with a passphrase (encryption root).\n2. Under it, `tank/passroot/keyroot` is a key-encrypted encryption root (HEX format).\n3. Under `keyroot`, `tank/passroot/keyroot/keychild` is *also* a key-encrypted encryption root.\n4. A user calls `pool.dataset.inherit_parent_encryption_properties('tank/passroot/keyroot')`.\n5. **Old code:** guard fires `False`, inner check is skipped, `change_encryption_root` executes. `keyroot` now falls under `passroot`'s passphrase root, but `keychild` remains a separate key-encrypted root under a passphrase root \u2014 an explicitly forbidden structure.\n6. **New code:** guard fires `True`, inner `any()` detects `keychild`, raises `CallError` with a clear message. The operation is rejected.\n\n**Does any existing production workflow depend on the old no-op guard?** The only test exercising `inherit_parent_encryption_properties` (`test_key_encrypted_dataset` at line 404) uses a *hex-key* parent root, so `parent_encrypted_root['key_format']['value'] == 'HEX'`, and the guard evaluates to `False` in both old and new code. That test is unaffected. There is no test covering the now-enforced case (passphrase parent root + key-encrypted child roots), which is the exact gap described below.", + "confidence": 0.98, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "enum-comparison-guard", + "dimension_name": "Enum vs String Comparison Bug in Encryption Root Guard", + "evidence": "Step 1: Old code at `bde8f1de3b` line ~222: `if ZFSKeyFormat(parent_encrypted_root.key_format.value) == ZFSKeyFormat.PASSPHRASE.value:`\nStep 2: `parent_encrypted_root.key_format.value` is a string, e.g. `'PASSPHRASE'`.\nStep 3: `ZFSKeyFormat('PASSPHRASE')` constructs `ZFSKeyFormat.PASSPHRASE`, an enum instance.\nStep 4: `ZFSKeyFormat.PASSPHRASE == 'PASSPHRASE'` \u2192 `False` (Python Enum.__eq__ compares member identity, not value string).\nStep 5: The `if` body (the `any()` child-root check and potential `raise CallError`) is NEVER reached regardless of input.\nStep 6: `change_encryption_root` / `zfs.dataset.change_encryption_root` always executes even when the parent root is passphrase-encrypted and the dataset has key-encrypted child roots.\nVerification: `python3 -c \"from enum import Enum; class E(Enum): P='PASSPHRASE'; print(E('PASSPHRASE') == 'PASSPHRASE')\"` prints `False`.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_003", + "line_end": 261, + "line_start": 248, + "score": 0.686, + "severity": "important", + "suggestion": "The fix is correct. The only follow-up needed is a regression test for the newly-enforced path: create a passphrase-encrypted root, a key-encrypted encryption root beneath it, and a second key-encrypted encryption root as a child of that \u2014 then assert that `inherit_parent_encryption_properties` on the middle dataset raises a `CallError`. This ensures the guard remains correct if the code is refactored again.", + "tags": [ + "logic-error", + "enum-comparison", + "security", + "encryption", + "guard-bypassed" + ], + "title": "Old guard was always False: key-encrypted child under passphrase-root inheritance was never blocked" + }, + { + "active_multipliers": [], + "body": "The bare `except Exception as e` branch on line 229 catches `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` (both plain `Exception` subclasses from `zfs/exceptions.py`) and converts them to `failed[name]['error'] = str(e)` \u2014 a raw string embedded in the return value dict.\n\nThis is a contract violation because:\n1. These exceptions are **pre-condition guards** (dataset not encrypted, or key already loaded) that signal programmer/caller errors, not transient ZFS crypto failures. Treating them identically to \"Invalid Key\" hides the actual cause.\n2. The `unlock` API method's structured return `{'unlocked': [...], 'failed': {...}}` will surface these as opaque string errors (e.g. `\"'pool/ds' key is already loaded\"`) with no errno or structured error code, making it impossible for callers to distinguish pre-condition failures from crypto failures.\n3. The old code path (before `load_key` was extracted to `zfs/encryption.py`) presumably raised `CallError` directly \u2014 the refactoring broke this by introducing new exception types without updating the catch sites.\n\nSpecifically:\n- `ZFSKeyAlreadyLoadedException` raised at `encryption.py:33` falls into `except Exception` at `dataset_encryption_lock.py:229`\n- `ZFSNotEncryptedException` raised at `encryption.py:31` similarly falls into `except Exception` at `dataset_encryption_lock.py:229`\n\nNeither is ever re-raised as a `CallError`.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "exception-handling-contract", + "dimension_name": "Exception Handling Contract", + "evidence": "Step 1: `unlock` calls `load_key(tls, name, key=datasets[name]['key'])` at line 222.\nStep 2: `load_key` in `zfs/encryption.py:31` calls `rsrc.crypto()`, and if it returns `None`, raises `ZFSNotEncryptedException(dataset)` \u2014 a subclass of plain `Exception` (confirmed at `exceptions.py:20`).\nStep 3: `load_key` at `encryption.py:33` raises `ZFSKeyAlreadyLoadedException(dataset)` if `crypto.info().key_is_loaded` is True \u2014 also a plain `Exception` subclass (`exceptions.py:14`).\nStep 4: Neither exception is a `ZFSException` subclass (imported from `truenas_pylibzfs`), so the `except ZFSException as e` block at line 223 does NOT catch them.\nStep 5: They fall through to `except Exception as e` at line 229, where `failed[name]['error'] = str(e)` stores the message string `\"'pool/ds' key is already loaded\"` or `\"'pool/ds' is not encrypted\"` \u2014 no `CallError`, no errno.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "id": "f_005", + "line_end": 231, + "line_start": 229, + "score": 0.665, + "severity": "important", + "suggestion": "Either (a) make `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` inherit from `CallError` (with appropriate `errno` values such as `errno.ENOTSUP` for not-encrypted and `errno.EEXIST` for already-loaded), OR (b) add an explicit catch before the bare `except Exception` block:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n\ntry:\n load_key(tls, name, key=datasets[name]['key'])\nexcept ZFSKeyAlreadyLoadedException:\n # Key already loaded means dataset is effectively unlocked; treat as success or specific error\n failed[name]['error'] = 'Key is already loaded'\n continue\nexcept ZFSNotEncryptedException:\n failed[name]['error'] = 'Dataset is not encrypted'\n continue\nexcept ZFSException as e:\n ...\nexcept Exception as e:\n failed[name]['error'] = str(e)\n continue\n```\nOption (a) is cleaner and ensures these exceptions carry structured error information everywhere they propagate.", + "tags": [ + "exception-handling", + "api-contract", + "error-propagation" + ], + "title": "ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException silently swallowed as string errors instead of structured CallError" + }, + { + "active_multipliers": [], + "body": "**`from_previous` is invoked exclusively on incoming write operations (argument upgrade), never on reads (API responses).**\n\nThe `APIVersionsAdapter` in `legacy_api_method.py` upgrades incoming parameters from an older API version to the current version via `_adapt_params`, which calls `adapter.adapt(params_dict, model_name, self.api_version, self.adapter.current_version)`. Because `version1_index < version2_index` the direction resolves to `Direction.UPGRADE`, triggering `new_model.from_previous(value)` at `version.py:233`.\n\nConversely, `_dump_result` adapts the **result** from `current_version` back to `api_version` (downgrade direction), which calls `to_previous`. Neither `PoolDatasetChangeKeyOptions` nor `PoolCreateEncryptionOptions` define `to_previous`, so outgoing responses are never touched.\n\n**Practical impact:** An automation client or script pinned to API v25.x that deliberately submits `pbkdf2iters=350000` (valid under `ge=100000` in v25.10.x) will have that value silently overwritten to `1300000` by `from_previous` before the `change_key` handler executes. The caller receives `{\"result\": null}` \u2014 the standard success response for `PoolDatasetChangeKeyResult` \u2014 with no indication that a different iteration count was actually applied to ZFS.\n\nNote: `pbkdf2iters` is only forwarded to the ZFS layer when `passphrase_key_format=True` (plugin line 114), so this affects only passphrase-encrypted datasets. For raw-hex keyed datasets `pbkdf2iters` is excluded from `opts` entirely and no iteration count is stored.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "pbkdf2iters-migration-behavior", + "dimension_name": "PBKDF2 Iteration Count Silent Migration", + "evidence": "Step 1: Client on API v25.10.2 calls `pool.dataset.change_key` with `options={\"pbkdf2iters\": 350000, \"passphrase\": \"mypass\"}`. Old model allows this: `pbkdf2iters: int = Field(default=350000, ge=100000)` (v25_10_2/pool_dataset.py:175).\nStep 2: `LegacyAPIMethod.call()` (legacy_api_method.py:60) calls `_adapt_params()` \u2192 `adapter.adapt(params_dict, 'PoolDatasetChangeKeyArgs', 'v25.10.2', 'v26.0.0')`.\nStep 3: `adapt_model` computes `version1_index < version2_index` \u2192 `direction = Direction.UPGRADE`.\nStep 4: `_adapt_value` on `PoolDatasetChangeKeyArgs` calls `_adapt_nested_value` on the `options` field because both versions define a model named `PoolDatasetChangeKeyOptions`; this triggers a recursive `_adapt_value` call.\nStep 5: At the end of the nested `_adapt_value`, line 233 of version.py: `value = new_model.from_previous(value)` where `new_model` is v26_0_0's `PoolDatasetChangeKeyOptions`.\nStep 6: `from_previous` (pool_dataset.py:185) executes `value['pbkdf2iters'] = max(1300000, 350000)` \u2192 `1300000`.\nStep 7: `change_key` plugin receives `options['pbkdf2iters'] == 1300000`, passes it to `validate_encryption_data` (line 191), which includes it in `opts` because `passphrase_key_format=True` (line 114).\nStep 8: `zfs/encryption.py::change_key()` permanently stores `pbkdf2iters=1300000` in the dataset's ZFS config.\nStep 9: `_dump_result` downgrades `{\"result\": null}` \u2014 no clamping info is surfaced.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "id": "f_011", + "line_end": 186, + "line_start": 183, + "score": 0.665, + "severity": "important", + "suggestion": "At minimum, emit a job log warning when `pbkdf2iters` is clamped upward. A job-status message such as `job.set_progress(0, f'Note: pbkdf2iters elevated from submitted value to {options[\"pbkdf2iters\"]}')` would make the override visible to operators. Longer-term, consider returning the effective `pbkdf2iters` in the result payload or adding a `to_previous` on the result model so legacy clients can detect the discrepancy.", + "tags": [ + "api-versioning", + "silent-migration", + "encryption", + "pbkdf2" + ], + "title": "from_previous fires on write only; legacy API callers have pbkdf2iters silently upgraded to 1,300,000 without any notification" + }, + { + "active_multipliers": [], + "body": "The `lock` lambda on `sync_db_keys` uses `args` (the entire raw-arguments list) rather than `args[0]` (the first positional argument, `name`):\n\n```python\n@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')\ndef sync_db_keys(self, job, tls, name=None):\n```\n\nThe `@job` and `@pass_thread_local_storage` decorators are both **pure marker decorators** \u2014 they stamp attributes on the function and return it unchanged. `Job.__init__` stores the raw caller-supplied `params` list as `self.args`, and the lock lambda is evaluated with that list before the job is queued (in `JobsQueue.handle_lock` \u2192 `Job.get_lock_name`). The `tls` object is injected at run time in `Job.__run_body`, well after lock computation, so `tls` is **not** visible to the lambda.\n\nThe real problem is that `name` has a default of `None`. This means:\n\n| Call site | `self.args` passed to lambda | Resulting lock key |\n|---|---|---|\n| Periodic scheduler (no args) | `[]` | `sync_encrypted_pool_dataset_keys_[]` |\n| `call_sync('pool.dataset.sync_db_keys', 'tank')` | `['tank']` | `sync_encrypted_pool_dataset_keys_['tank']` |\n| `call_sync('pool.dataset.sync_db_keys', None)` | `[None]` | `sync_encrypted_pool_dataset_keys_[None]` |\n\nThe periodic invocation produces the key `sync_encrypted_pool_dataset_keys_[]` while an explicit `sync_db_keys(None)` produces `sync_encrypted_pool_dataset_keys_[None]` \u2014 these are **different lock keys**, so the two calls do NOT share a lock and can run concurrently. This defeats the purpose of the lock for the all-datasets sync case.\n\nBy contrast, the `encryption_summary` lock lambda on the same class correctly uses `args[0]`:\n```python\n@job(lock=lambda args: f'encryption_summary_options_{args[0]}', ...)\n```\n\nAdditionally, the lock key includes Python list-repr brackets (e.g., `['tank']`) rather than a clean string like `tank`, making the key non-human-readable and fragile if calling conventions change.", + "confidence": 0.92, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "decorator-order-lock-key", + "dimension_name": "Decorator Order and Lock Key Correctness", + "evidence": "Step 1: `sync_db_keys` is decorated with `@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')` at line 161.\nStep 2: `@job` is a pure marker decorator (`decorators.py:153-166`) \u2014 it sets `fn._job = {'lock': lock, ...}` and returns `fn` unchanged.\nStep 3: `_call_prepare` in `main.py:880` constructs `Job(self, name, serviceobj, methodobj, params, ...)` where `params` is the raw caller-supplied arguments list.\nStep 4: `Job.__init__` at `job.py:333` stores `self.args = args` (the `params` parameter passed in).\nStep 5: `JobsQueue.add` at `job.py:149` calls `self.handle_lock(job)`, which calls `job.get_lock_name()` at `job.py:422`: `lock_name = lock_name(self.args)` \u2014 so the lambda receives the raw `params` list.\nStep 6: Periodic scheduler calls `sync_db_keys` with zero user arguments \u2192 `params = []` \u2192 lambda receives `[]` \u2192 lock key is `sync_encrypted_pool_dataset_keys_[]`.\nStep 7: Explicit `call_sync('pool.dataset.sync_db_keys', None)` \u2192 `params = [None]` \u2192 lambda receives `[None]` \u2192 lock key is `sync_encrypted_pool_dataset_keys_[None]`.\nStep 8: Keys differ \u2192 neither invocation blocks the other \u2192 two full-dataset syncs can run concurrently.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_009", + "line_end": 162, + "line_start": 161, + "score": 0.644, + "severity": "important", + "suggestion": "Change the lambda to extract only the first argument and normalize `None` to an empty string, mirroring the pattern used by `encryption_summary`:\n\n```python\n@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args[0] if args else \"\"}')\n```\n\nThis ensures:\n- A periodic call (no args) and an explicit `call(..., None)` both produce the same lock key: `sync_encrypted_pool_dataset_keys_None`\n- A call with a specific pool name produces `sync_encrypted_pool_dataset_keys_tank`\n- The key no longer contains list brackets", + "tags": [ + "locking", + "concurrency", + "decorator-order", + "correctness" + ], + "title": "`sync_db_keys` lock lambda embeds the full args list, causing inconsistent lock keys between periodic and explicit calls" + }, + { + "active_multipliers": [], + "body": "**Existing datasets with `pbkdf2iters` between 100,000 and 1,299,999 will have their iteration count permanently changed to 1,300,000 on the next `change_key` call, regardless of whether the user explicitly requested this change.**\n\nThere are two distinct triggers:\n\n1. **Legacy API client omits `pbkdf2iters`:** The v25.10.x default was 350,000. When a v25.x client calls `change_key` without specifying `pbkdf2iters`, `_adapt_value` fills in the missing field using the **v26.0.0 new default** of `1300000` (version.py:226: `value[key_to_use] = field_info.get_default(call_default_factory=True)`). `from_previous` then sees `max(1300000, 1300000)` which is a no-op \u2014 but the applied value is the new default, not what the user would have expected from their v25.x context.\n\n2. **Legacy API client explicitly submits `pbkdf2iters=350000`:** `from_previous` clamps it to 1,300,000 as described in the companion finding.\n\nIn both cases, `change_key` permanently alters the ZFS dataset property `pbkdf2iters`. Once a dataset is re-keyed at 1,300,000 iterations, every subsequent passphrase-unlock of that dataset (at boot, during HA failover, or via `pool.dataset.unlock`) will run PBKDF2 with 1,300,000 iterations. The user never saw a prompt asking to confirm this change, and the API response `{\"result\": null}` provides no visibility into what iteration count was applied.\n\n**Scope:** Only passphrase-encrypted datasets are affected (line 114 of `dataset_encryption_operations.py` guards `pbkdf2iters` inclusion on `passphrase_key_format=True`). Raw-hex keyed datasets are not affected.", + "confidence": 0.92, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "pbkdf2iters-migration-behavior", + "dimension_name": "PBKDF2 Iteration Count Silent Migration", + "evidence": "Step 1: User has a passphrase-encrypted dataset with `pbkdf2iters=350000` (set under v25.x).\nStep 2: User or script calls `pool.dataset.change_key` via v25.x API client without specifying `pbkdf2iters`.\nStep 3: `_adapt_value` (version.py:224-227) detects `pbkdf2iters` is absent; since the field has a default in v26 (`1300000`), it fills: `value['pbkdf2iters'] = 1300000`.\nStep 4: `from_previous` is a no-op for `max(1300000, 1300000)`, but the effective value is now 1,300,000 instead of the user's expected 350,000.\nStep 5: `change_key` plugin line 191 passes `pbkdf2iters: 1300000` to `validate_encryption_data`.\nStep 6: Since `passphrase_key_format=True`, line 114 includes `pbkdf2iters` in `opts`.\nStep 7: `zfs/encryption.py::change_key()` writes `pbkdf2iters=1300000` permanently to ZFS.\nStep 8: API returns `{\"result\": null}` \u2014 no indication the iteration count was elevated.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "id": "f_012", + "line_end": 186, + "line_start": 175, + "score": 0.644, + "severity": "important", + "suggestion": "Compare `options['pbkdf2iters']` against the dataset's current stored iteration count before applying the change (available via `ds['pbkdf2iters']['parsed']` from `get_instance_quick`). If the value is being elevated due to the minimum-floor and not due to the user explicitly passing the new value, emit a warning. Consider adding a `pbkdf2iters_effective` field to `PoolDatasetChangeKeyResult` so callers can detect the actual value applied.", + "tags": [ + "encryption", + "silent-mutation", + "pbkdf2", + "dataset-state-change", + "api-versioning" + ], + "title": "Existing passphrase-encrypted datasets silently re-keyed at 3.7x higher iteration count on next change_key call via any API version" + }, + { + "active_multipliers": [], + "body": "`ZFSKeyAlreadyLoadedException` (line 14) and `ZFSNotEncryptedException` (line 20) both inherit directly from `Exception`. This is the root cause of the contract break identified in the other findings.\n\nIn the TrueNAS middleware architecture, user-facing errors are expected to be `CallError` instances (with an `errno` attribute). Any unhandled non-`CallError` exception that escapes a service method is treated as an internal server error by the WebSocket API layer, producing unstructured error responses.\n\nBy making these exceptions plain `Exception` subclasses:\n1. Every call site that calls `load_key()`, `check_key()`, `change_key()`, or `change_encryption_root()` must manually wrap exceptions to convert them to `CallError` \u2014 creating a systemic catch-site gap.\n2. Existing bare `except Exception` handlers (as in `dataset_encryption_lock.py:229`) silently absorb them as string errors with no errno, making them indistinguishable from other failures.\n3. The `.message` attribute is redundant with `str(e)` since `super().__init__(self.message)` already sets the string representation \u2014 the `.message` attribute is never used by any handler.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "exception-handling-contract", + "dimension_name": "Exception Handling Contract", + "evidence": "Step 1: `exceptions.py:14` \u2014 `class ZFSKeyAlreadyLoadedException(Exception)` \u2014 base class is plain `Exception`.\nStep 2: `exceptions.py:20` \u2014 `class ZFSNotEncryptedException(Exception)` \u2014 base class is plain `Exception`.\nStep 3: These are imported and raised in `zfs/encryption.py` at lines 31, 33, 58, 88, 105.\nStep 4: `dataset_encryption_lock.py:229` and `dataset_encryption_operations.py:200,263` are call sites with no conversion to `CallError`.\nStep 5: The middleware WebSocket error dispatch (not read, but standard TrueNAS architecture) wraps `CallError` into structured JSON error responses with errno codes; plain `Exception` becomes an unstructured internal error.", + "file_path": "src/middlewared/middlewared/plugins/zfs/exceptions.py", + "id": "f_007", + "line_end": 23, + "line_start": 14, + "score": 0.63, + "severity": "important", + "suggestion": "Change the base class of both exceptions to `CallError` with appropriate errno values:\n```python\nfrom middlewared.service.core import CallError # or wherever CallError is importable\nimport errno\n\nclass ZFSKeyAlreadyLoadedException(CallError):\n def __init__(self, path: str):\n super().__init__(f\"{path!r} key is already loaded\", errno=errno.EEXIST)\n\nclass ZFSNotEncryptedException(CallError):\n def __init__(self, path: str):\n super().__init__(f\"{path!r} is not encrypted\", errno=errno.ENOTSUP)\n```\nThis ensures that wherever these exceptions propagate \u2014 through `except Exception`, `except CallError`, or unhandled \u2014 they carry structured error information and are handled correctly by the middleware's error dispatch layer. Note: verify there are no circular import issues between `middlewared.plugins.zfs` and `middlewared.service`; if so, an intermediate base class in `zfs/exceptions.py` may be needed.", + "tags": [ + "exception-hierarchy", + "api-contract", + "architecture", + "error-propagation" + ], + "title": "Custom ZFS exceptions inherit from plain Exception instead of CallError, breaking structured error propagation across all callers" + }, + { + "active_multipliers": [], + "body": "`dataset_encryption_operations.py:200` calls `change_key(tls, id_, encryption_dict, key)` with no surrounding try/except. The `change_key` function in `zfs/encryption.py:87-88` can raise `ZFSNotEncryptedException` if `rsrc.crypto()` returns `None`.\n\nAlthough the `change_key` method does validate `ds['encrypted']` at line 134 via `verrors.add`, this is a **database/metadata check** \u2014 it does NOT prevent a race condition where the ZFS state diverges from the database (e.g. dataset was recreated between the query and the `change_key` call). If the ZFS layer reports the dataset as unencrypted but the DB still has it marked encrypted, `ZFSNotEncryptedException` will propagate all the way to the WebSocket API layer as an unhandled `Exception`, not a `CallError`.\n\nSimilarly, `change_encryption_root` at `dataset_encryption_operations.py:263` calls `change_encryption_root(tls, id_)` which also raises `ZFSNotEncryptedException` at `encryption.py:104-105` with no catch.", + "confidence": 0.82, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "exception-handling-contract", + "dimension_name": "Exception Handling Contract", + "evidence": "Step 1: `change_key` method in `dataset_encryption_operations.py:200` calls `change_key(tls, id_, encryption_dict, key)` with no try/except.\nStep 2: `change_key` in `zfs/encryption.py:86-88`: `rsrc = open_resource(tls, dataset); if (crypto := rsrc.crypto()) is None: raise ZFSNotEncryptedException(dataset)`.\nStep 3: `ZFSNotEncryptedException` inherits from `Exception` (confirmed at `exceptions.py:20`), NOT from `CallError`.\nStep 4: No catch exists between `encryption.py:88` and the WebSocket layer. The exception propagates as a raw `Exception`.\nStep 5: The WebSocket API layer expects `CallError` for user-facing error messages with structured errno codes. A raw `Exception` results in an unstructured 500-style error.\nSame path applies to `change_encryption_root` at `dataset_encryption_operations.py:263` calling `encryption.py:103-105`.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_006", + "line_end": 200, + "line_start": 200, + "score": 0.574, + "severity": "important", + "suggestion": "Wrap the `change_key` and `change_encryption_root` calls with try/except to convert `ZFSNotEncryptedException` (and `ZFSKeyAlreadyLoadedException` if applicable) into `CallError`:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSNotEncryptedException\n\ntry:\n change_key(tls, id_, encryption_dict, key)\nexcept ZFSNotEncryptedException as e:\n raise CallError(str(e), errno=errno.ENOTSUP)\n```\nAlternatively, make `ZFSNotEncryptedException` a subclass of `CallError` with a fixed errno so it automatically presents correctly to all callers throughout the codebase.", + "tags": [ + "exception-handling", + "api-contract", + "race-condition", + "error-propagation" + ], + "title": "ZFSNotEncryptedException from change_key() propagates as raw Exception to WebSocket API layer \u2014 no CallError wrapping" + }, + { + "active_multipliers": [], + "body": "In the old `zfs.dataset.load_key` service method, all `libzfs.ZFSException` instances were caught and re-raised as `CallError`. In the new `encryption.py:load_key()`, the call to `crypto.load_key(**kwargs)` at line 34 is **not wrapped in any try/except**.\n\nAny `truenas_pylibzfs.ZFSException` raised by `crypto.load_key()` propagates directly out of `encryption.load_key()` back to its caller with:\n- A `.code` attribute (a `ZFSError` enum value)\n- **No `.errmsg`** or **`.errno`** fields in the `CallError` sense\n- No `CallError` wrapping\n\nFor the `unlock` call path in `dataset_encryption_lock.py`, this is handled correctly: `except ZFSException as e:` at line 223 catches these and processes `EZFS_CRYPTOFAILED` vs. other codes. So the current only caller handles it.\n\nHowever, the **API contract has silently changed**: any other present or future caller of `encryption.load_key()` that expects `CallError` (because the old `zfs.dataset.load_key` always raised `CallError`) will receive raw `ZFSException` instead. If such a caller reaches the WebSocket dispatch layer without intermediate handling, `websocket_app.py:196-207` catches the bare `Exception`, calls `adapt_exception(e)` (which only handles `subprocess.CalledProcessError` \u2014 not `ZFSException`), and falls back to `send_error(message, EINVAL, str(e))`, losing the original ZFS error code entirely and emitting a generic `EINVAL` to the client.", + "confidence": 0.8, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "error-handling-exception-flow", + "dimension_name": "Exception Handling and Error Flow", + "evidence": "Step 1: `encryption.py:load_key()` calls `crypto.load_key(**kwargs)` at line 34 with no surrounding try/except block.\nStep 2: `truenas_pylibzfs.ZFSException` is the exception type raised by `crypto.load_key()` on failure (e.g., wrong key \u2192 `EZFS_CRYPTOFAILED`).\nStep 3: `ZFSException` has a `.code` attribute (a `ZFSError` enum), but no `.errmsg` or `.errno` in the `CallError` sense.\nStep 4: The old service method `zfs.dataset.load_key` caught all `libzfs.ZFSException` and re-raised as `CallError` \u2014 all callers expected `CallError`.\nStep 5: A hypothetical new caller of `encryption.load_key()` that does not import `truenas_pylibzfs.ZFSException` and uses only `except CallError` will miss the exception.\nStep 6: That uncaught `ZFSException` reaches `websocket_app.py:196`, `adapt_exception(e)` returns `None` (only handles `CalledProcessError`), and `send_error(message, EINVAL, str(e))` emits an unstructured `EINVAL` response to the client.", + "file_path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "id": "f_008", + "line_end": 34, + "line_start": 34, + "score": 0.56, + "severity": "important", + "suggestion": "Either:\n1. **Document the contract explicitly** in `load_key()`'s docstring: state that it may raise `truenas_pylibzfs.ZFSException` directly (in addition to `ZFSNotEncryptedException` and `ZFSKeyAlreadyLoadedException`), so all callers know they must handle `ZFSException`.\n2. **Convert at the boundary**: wrap `crypto.load_key(**kwargs)` in a try/except that re-raises as a typed domain exception (e.g., add `ZFSLoadKeyException` to `exceptions.py`), so `encryption.py` never leaks `truenas_pylibzfs` types to callers:\n```python\ntry:\n crypto.load_key(**kwargs)\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n raise ZFSInvalidKeyException(dataset) from e\n raise\n```\nOption 2 is the cleaner design: it keeps `truenas_pylibzfs` as an internal implementation detail.", + "tags": [ + "api-contract", + "exception-propagation", + "error-handling", + "refactoring" + ], + "title": "Raw truenas_pylibzfs.ZFSException from crypto.load_key() propagates out of encryption.load_key() undecorated, breaking the old CallError contract for any caller outside unlock" + }, + { + "active_multipliers": [], + "body": "**The 3.7x increase from 350,000 to 1,300,000 PBKDF2 iterations is applied unconditionally with no runtime check for hardware capability. On low-power or embedded hardware, this can cause passphrase-based key derivation to exceed unlock timeouts, making encrypted datasets permanently inaccessible without manual CLI intervention.**\n\nOnce a passphrase-encrypted dataset is re-keyed with `pbkdf2iters=1300000` (whether explicitly or via the silent clamping in `from_previous`), every future unlock attempt runs PBKDF2-SHA256 with 1,300,000 iterations synchronously. On ARM SoCs and Atom-class CPUs common in consumer NAS hardware:\n- At 350,000 iters: typically ~0.5\u20131 second per dataset\n- At 1,300,000 iters: typically ~2\u20134 seconds per dataset\n\nFor pools with multiple passphrase-encrypted datasets that must all unlock at pool import (a common TrueNAS configuration), unlock times multiply linearly. If this occurs during boot under a systemd service timeout, or during HA failover under a failover timeout, the unlock will fail \u2014 and with `ge=1300000` enforced as the hard minimum, there is **no API path** to reduce the iteration count back down without using the ZFS CLI directly (`zfs change-key -o pbkdf2iters=...`).\n\nThe `change_key` plugin (`dataset_encryption_operations.py:118`) does not measure or estimate key derivation time before applying the new iteration count. Neither `PoolCreateEncryptionOptions` nor `PoolDatasetChangeKeyOptions` expose any per-hardware tuning path below the new minimum.\n\nNote: `PoolCreateEncryptionOptions.from_previous` in `pool.py:152` applies the same clamping on pool creation encryption options. For new pool creation this affects the root dataset's initial encryption setup, not just re-keying.", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "pbkdf2iters-migration-behavior", + "dimension_name": "PBKDF2 Iteration Count Silent Migration", + "evidence": "Step 1: Passphrase-encrypted dataset is re-keyed to `pbkdf2iters=1300000` via `change_key` (either explicitly or via silent clamping from `from_previous`).\nStep 2: `dataset_encryption_operations.py:191` passes `pbkdf2iters: options['pbkdf2iters']` to `validate_encryption_data`.\nStep 3: `validate_encryption_data` line 114 includes `pbkdf2iters` in `opts` when `passphrase_key_format=True`.\nStep 4: `zfs/encryption.py::change_key()` line 89 calls `tls.lzh.resource_cryptography_config(**props)` with `pbkdf2iters=1300000`, permanently recording it as a ZFS dataset property.\nStep 5: On the next pool import or `pool.dataset.unlock`, ZFS runs PBKDF2-SHA256 with 1,300,000 iterations to derive the wrapping key from the passphrase.\nStep 6: On low-power hardware (e.g., Cortex-A53 at 1.4GHz, ~350k iters/sec for PBKDF2-SHA256), this takes ~3.7 seconds per dataset. With 5 passphrase datasets: ~18.5 seconds total.\nStep 7: If a systemd or HA failover timeout fires during this window, unlock fails; dataset remains locked.\nStep 8: The `ge=1300000` constraint on `PoolDatasetChangeKeyOptions` means there is no supported API path to reduce `pbkdf2iters` on an already-re-keyed dataset \u2014 only direct ZFS CLI access can recover.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_013", + "line_end": 154, + "line_start": 151, + "score": 0.525, + "severity": "important", + "suggestion": "Consider the following mitigations: (1) **Benchmark gate:** Before applying `change_key` with a high `pbkdf2iters`, run a short PBKDF2 benchmark and warn or reject if estimated unlock time exceeds a configurable threshold. (2) **System-wide override:** Allow a `tunable` or system config option to set a lower `pbkdf2iters` ceiling for constrained hardware, overriding the API minimum for that installation. (3) **Recovery documentation:** Explicitly document that `zfs change-key -o pbkdf2iters=` is available as a recovery path if unlock times become prohibitive. (4) **Job warning:** At minimum, have the `change_key` job emit a progress message noting the effective iteration count when it exceeds the old default.", + "tags": [ + "encryption", + "availability", + "hardware", + "pbkdf2", + "timeout-risk", + "embedded" + ], + "title": "3.7x PBKDF2 iteration increase enforced with no hardware capability check; may cause passphrase unlock timeouts making datasets inaccessible" + }, + { + "active_multipliers": [], + "body": "`@pass_thread_local_storage` is a **marker-only decorator** \u2014 it sets `fn._pass_thread_local_storage = True` and returns `fn` unchanged (`decorators.py:221-222`). The actual `tls` injection happens only at API dispatch time: in `main.py:862-865` for normal methods and `job.py:620-621` for `@job` methods.\n\nWhen `sync_zfs_keys` calls `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)` directly (lines 138 and 142), these are **plain Python method calls** \u2014 they bypass the middleware dispatch system entirely. The `_pass_thread_local_storage` attribute on `push_zfs_keys` and `pull_zfs_keys` has **no effect** on direct calls. Therefore, `tls` is supplied exactly once by the caller, and the functions receive it correctly.\n\nThe decorators on `push_zfs_keys`/`pull_zfs_keys` are intentional: they allow those methods to be called independently through the middleware dispatch system (e.g., `self.middleware.call_sync('kmip.push_zfs_keys', ...)`) with `tls` injected automatically. The `# type: ignore` comments are consistent with the decorator's type signature hiding `tls` from external callers.\n\n**No double-injection occurs. The code is correct for this pattern.**", + "confidence": 0.98, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "decorator_injection", + "dimension_name": "Decorator Double-Injection Analysis", + "evidence": "Step 1: `pass_thread_local_storage` in `service/decorators.py:209-222` sets `fn._pass_thread_local_storage = True` and returns `fn` unchanged \u2014 no wrapping, no injection at decoration time.\nStep 2: `main.py:862-865` \u2014 injection only occurs inside `_call_prepare`, which is invoked by the middleware dispatch system, not on direct Python calls.\nStep 3: `job.py:620-621` \u2014 same: injection only at job run time via `prepend.append(thread_local_storage)`.\nStep 4: `sync_zfs_keys` at lines 138/142 calls `self.push_zfs_keys(tls, ids)` directly \u2014 this is a plain Python attribute lookup and call, bypassing `_call_prepare` entirely.\nStep 5: `push_zfs_keys` receives `(self, tls, ids)` \u2014 one `tls` from the caller, zero injected by decorator. Correct.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_000", + "line_end": 142, + "line_start": 138, + "score": 0.294, + "severity": "suggestion", + "suggestion": "No change needed for the decorator/injection pattern. The explicit `tls` passing at lines 138 and 142 is correct because these are direct Python method calls, not middleware dispatches.", + "tags": [ + "decorator", + "thread-local-storage", + "no-bug", + "call-convention" + ], + "title": "No double-injection bug: explicit tls passing is correct for direct calls" + }, + { + "active_multipliers": [], + "body": "The only integration test for `inherit_parent_encryption_properties` (`tests/api2/test_pool_dataset_encryption.py:404`) exercises the case where the parent's encryption root uses a **hex key** \u2014 so `parent_encrypted_root['key_format']['value'] == 'HEX'`. The guard evaluates to `False` in both old and new code, meaning this test provides **zero coverage** of the bug fix.\n\nThe case that was silently broken (passphrase-encrypted parent root + key-encrypted child encryption roots under `id_`) has never been tested. Now that the guard works correctly, there is a real behavioral difference: the operation **raises a `CallError`** instead of silently succeeding. Without a test for this path:\n\n1. There is no automated verification that the `CallError` message is correct.\n2. A future refactor could re-introduce the same type-comparison mistake and no test would catch it.\n3. The complementary allowed case \u2014 passphrase parent root, `id_` has *no* key-encrypted child roots \u2014 is also untested; verifying it proceeds successfully is equally important.\n\nThe guard itself (`any(d['name'] == d['encryption_root'] for d in self.middleware.call_sync('pool.dataset.query', [...]))`) is logically sound and the fix is correct, but the absence of test coverage for the enforced path is a gap worth closing.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "enum-comparison-guard", + "dimension_name": "Enum vs String Comparison Bug in Encryption Root Guard", + "evidence": "Only test reference: `tests/api2/test_pool_dataset_encryption.py:404`\n```python\ndef test_key_encrypted_dataset(self):\n # parent uses HEX key\n payload = {'name': dataset, 'encryption_options': {'key': dataset_token_hex}, ...}\n call('pool.dataset.create', payload)\n # child uses PASSPHRASE\n payload.update({'name': child_dataset, 'encryption_options': {'passphrase': passphrase}})\n call('pool.dataset.create', payload)\n # parent_encrypted_root is the HEX-keyed parent -> guard evaluates False in both old and new code\n call('pool.dataset.inherit_parent_encryption_properties', child_dataset)\n ds = call('pool.dataset.get_instance', child_dataset)\n assert ds['key_format']['value'] == 'HEX', ds\n```\nNo test exercises the path where `parent_encrypted_root['key_format']['value'] == 'PASSPHRASE'`.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_004", + "line_end": 261, + "line_start": 248, + "score": 0.285, + "severity": "suggestion", + "suggestion": "Add a test case in `tests/api2/test_pool_dataset_encryption.py` that:\n1. Creates a passphrase-encrypted dataset `P` as an encryption root.\n2. Creates `P/K` as a key-encrypted encryption root (child of P).\n3. Creates `P/K/KC` as a second key-encrypted encryption root (grandchild).\n4. Calls `pool.dataset.inherit_parent_encryption_properties('P/K')` and asserts a `ClientException` / `CallError` is raised containing the expected message.\n5. Also tests the allowed sub-case: `P/K` with no key-encrypted child roots successfully inherits from the passphrase root.", + "tags": [ + "test-coverage", + "encryption", + "guard", + "regression-risk" + ], + "title": "No test covers the newly-enforced rejection path (passphrase root + key-encrypted child roots)" + }, + { + "active_multipliers": [], + "body": "The review prompt raised a concern that if `@pass_thread_local_storage` wraps the `@job`-decorated function, the lock lambda might see `(tls, name)` instead of `(name,)`.\n\nThis concern does **not** apply. Both decorators are pure markers:\n\n```python\n# decorators.py:153-166\ndef check_job(fn):\n fn._job = {'lock': lock, ...}\n return fn # fn is returned unchanged\n\n# decorators.py:221-222\nfn._pass_thread_local_storage = True\nreturn fn # fn is returned unchanged\n```\n\nNeither decorator wraps the function \u2014 they only set attributes. The `tls` object is injected at job run time in `job.py:620-621` inside `Job.__run_body`, well after `get_lock_name()` has already evaluated the lock lambda at queue time. The `Job` object is constructed with `params` (raw caller args), and that is what the lambda sees \u2014 never `tls`.\n\nThe actual decorator stacking requirement is documented in `api/base/decorator.py:53-59`: `@job` must be the innermost (bottommost) decorator, and the current ordering is correct.", + "confidence": 0.97, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "decorator-order-lock-key", + "dimension_name": "Decorator Order and Lock Key Correctness", + "evidence": "Step 1: `@pass_thread_local_storage` at `decorators.py:209-222` sets `fn._pass_thread_local_storage = True` and returns `fn` \u2014 no wrapping.\nStep 2: `@job` at `decorators.py:153-166` sets `fn._job = {...}` and returns `fn` \u2014 no wrapping.\nStep 3: `_call_prepare` at `main.py:880` constructs `Job(..., params, job_options, ...)` where `params` is the raw caller args \u2014 `tls` is NOT in this list.\nStep 4: `tls` injection for jobs occurs in `job.py:620-621` inside `Job.__run_body`, which runs after the job has been queued and the lock key has already been computed.\nStep 5: `get_lock_name` at `job.py:422` calls `lock_name(self.args)` where `self.args = params` \u2014 the lambda never sees `tls`.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_010", + "line_end": 162, + "line_start": 158, + "score": 0.097, + "severity": "nitpick", + "suggestion": "No code change needed for this specific concern. The decorator order is correct and `tls` is never present in the lock lambda's argument list.", + "tags": [ + "decorator-order", + "false-positive-cleared", + "tls", + "locking" + ], + "title": "Original `tls`-injection concern is a false alarm: decorator order is correct and `tls` is never visible to the lock lambda" + } + ], + "metadata": { + "agent_invocations": 11, + "anatomy": { + "blast_radius": [], + "clusters": [ + { + "description": "", + "files": [ + "" + ], + "id": "cluster_0", + "name": "root", + "primary_language": "" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/api/v26_0_0/pool.py", + "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py" + ], + "id": "cluster_1", + "name": "src/middlewared/middlewared/api/v26_0_0", + "primary_language": "python" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ], + "id": "cluster_2", + "name": "src/middlewared/middlewared/plugins/kmip", + "primary_language": "python" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" + ], + "id": "cluster_3", + "name": "src/middlewared/middlewared/plugins/pool_", + "primary_language": "python" + }, + { + "description": "", + "files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/zfs/exceptions.py" + ], + "id": "cluster_4", + "name": "src/middlewared/middlewared/plugins/zfs", + "primary_language": "python" + } + ], + "context_notes": "The removed file `src/middlewared/middlewared/plugins/zfs_/dataset_encryption.py` used `process_pool = True`, meaning every call to `zfs.dataset.*` previously serialized through a subprocess via the process pool mechanism. The new code runs synchronously in the middleware's main worker threads, sharing the thread-local `tls.lzh` handle managed by `@pass_thread_local_storage`. This is architecturally consistent with the broader truenas_pylibzfs migration effort visible in other modules (load_unload_impl.py, resource_crud.py, etc.). The `truenas_pylibzfs` dependency (PR #145) must provide: `ZFSResource.crypto()` returning an optional `ZFSResourceCryptography` object; `ZFSResourceCryptography.info()` returning an object with `key_is_loaded: bool`; `ZFSResourceCryptography.load_key(**kwargs)`, `.check_key(**kwargs) -> bool`, `.change_key(info)`, and `.inherit_key()`; and `ZFSLibHandle.resource_cryptography_config(**props)` returning a config object. None of these are visible in this repository \u2014 the PR is incomplete without that upstream merge.", + "dependency_graph": {}, + "files": [ + { + "hunks": [ + { + "content": " key.\"\"\"\n generate_key: bool = False\n \"\"\"Automatically generate the key to be used for dataset encryption.\"\"\"\n- pbkdf2iters: int = Field(ge=100000, default=350000)\n+ pbkdf2iters: int = Field(ge=1300000, default=1300000)\n \"\"\"Number of PBKDF2 iterations for key derivation from passphrase. Higher iterations improve security \\\n- against brute force attacks but increase unlock time. Default 350,000 balances security and performance.\"\"\"\n+ against brute force attacks but increase unlock time.\"\"\"\n algorithm: Literal[\n \"AES-128-CCM\", \"AES-192-CCM\", \"AES-256-CCM\", \"AES-128-GCM\", \"AES-192-GCM\", \"AES-256-GCM\"\n ] = \"AES-256-GCM\"", + "header": "@@ -136,9 +136,9 @@ class PoolCreateEncryptionOptions(BaseModel):", + "new_count": 9, + "new_start": 136, + "old_count": 9, + "old_start": 136 + }, + { + "content": " key: Secret[Annotated[str, Field(min_length=64, max_length=64)] | None] = None\n \"\"\"A hex-encoded key specified as an alternative to using `passphrase`.\"\"\"\n \n+ @classmethod\n+ def from_previous(cls, value):\n+ value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n+ return value\n+\n \n class PoolCreateTopologyVdevDRAID(BaseModel):\n type: Literal[\"DRAID1\", \"DRAID2\", \"DRAID3\"]", + "header": "@@ -148,6 +148,11 @@ class PoolCreateEncryptionOptions(BaseModel):", + "new_count": 11, + "new_start": 148, + "old_count": 6, + "old_start": 148 + } + ], + "language": "python", + "lines_added": 7, + "lines_removed": 2, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \"\"\"Generate a new random encryption key instead of using a provided key or passphrase.\"\"\"\n key_file: bool = False\n \"\"\"Whether the provided key is from a key file rather than entered directly.\"\"\"\n- pbkdf2iters: int = Field(default=350000, ge=100000)\n+ pbkdf2iters: int = Field(default=1300000, ge=1300000)\n \"\"\"Number of PBKDF2 iterations for passphrase-based keys. Higher values improve security against \\\n- brute force attacks but increase unlock time. Default 350,000 balances security and performance.\"\"\"\n+ brute force attacks but increase unlock time.\"\"\"\n passphrase: Secret[NonEmptyString | None] = None\n \"\"\"Passphrase to use for encryption key derivation.\"\"\"\n key: Secret[Annotated[str, Field(min_length=64, max_length=64)] | None] = None\n \"\"\"Raw hex-encoded encryption key.\"\"\"\n \n+ @classmethod\n+ def from_previous(cls, value):\n+ value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n+ return value\n+\n \n class PoolDatasetCreateUserProperty(BaseModel):\n key: Annotated[str, Field(examples=[\"custom:backup_policy\", \"org:created_by\"], pattern=\".*:.*\")]", + "header": "@@ -172,14 +172,19 @@ class PoolDatasetChangeKeyOptions(BaseModel):", + "new_count": 19, + "new_start": 172, + "old_count": 14, + "old_start": 172 + } + ], + "language": "python", + "lines_added": 7, + "lines_removed": 2, + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " # See the file LICENSE.IX for complete terms and conditions\n \n from middlewared.api.current import ZFSResourceQuery\n+from middlewared.plugins.zfs.encryption import check_key\n from middlewared.service import job, private, Service\n+from middlewared.service.decorators import pass_thread_local_storage\n \n from .connection import KMIPServerMixin\n ", + "header": "@@ -4,7 +4,9 @@", + "new_count": 9, + "new_start": 4, + "old_count": 7, + "old_start": 4 + }, + { + "content": " return rv\n \n @private\n- def push_zfs_keys(self, ids=None):\n+ @pass_thread_local_storage\n+ def push_zfs_keys(self, tls, ids=None):\n failed = []\n filters = [] if ids is None else [['id', 'in', ids]]\n existing_datasets = self.get_encrypted_datasets(filters)", + "header": "@@ -50,7 +52,8 @@ def get_encrypted_datasets(self, filters):", + "new_count": 8, + "new_start": 52, + "old_count": 7, + "old_start": 50 + }, + { + "content": " if not ds['encryption_key']:\n # We want to make sure we have the KMIP server's keys and in-memory keys in sync\n try:\n- if ds['name'] in self.zfs_keys and self.middleware.call_sync(\n- 'zfs.dataset.check_key', ds['name'], {'key': self.zfs_keys[ds['name']]}\n+ if (\n+ ds['name'] in self.zfs_keys\n+ and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n ):\n continue\n else:", + "header": "@@ -59,8 +62,9 @@ def push_zfs_keys(self, ids=None):", + "new_count": 9, + "new_start": 62, + "old_count": 8, + "old_start": 59 + }, + { + "content": " return failed\n \n @private\n- def pull_zfs_keys(self):\n+ @pass_thread_local_storage\n+ def pull_zfs_keys(self, tls):\n existing_datasets = self.get_encrypted_datasets([['kmip_uid', '!=', None]])\n failed = []\n connection_successful = self.middleware.call_sync('kmip.test_connection')", + "header": "@@ -91,7 +95,8 @@ def push_zfs_keys(self, ids=None):", + "new_count": 8, + "new_start": 95, + "old_count": 7, + "old_start": 91 + }, + { + "content": " try:\n if ds['encryption_key']:\n key = ds['encryption_key']\n- elif ds['name'] in self.zfs_keys and self.middleware.call_sync(\n- 'zfs.dataset.check_key', ds['name'], {'key': self.zfs_keys[ds['name']]}\n+ elif (\n+ ds['name'] in self.zfs_keys\n+ and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n ):\n key = self.zfs_keys[ds['name']]\n elif connection_successful:", + "header": "@@ -99,8 +104,9 @@ def pull_zfs_keys(self):", + "new_count": 9, + "new_start": 104, + "old_count": 8, + "old_start": 99 + }, + { + "content": " return failed\n \n @private\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'kmip_sync_zfs_keys_{args}')\n- def sync_zfs_keys(self, job, ids=None):\n+ def sync_zfs_keys(self, job, tls, ids=None):\n if not self.middleware.call_sync('kmip.zfs_keys_pending_sync'):\n return\n config = self.middleware.call_sync('kmip.config')\n conn_successful = self.middleware.call_sync('kmip.test_connection', None, True)\n if config['enabled'] and config['manage_zfs_keys']:\n if conn_successful:\n- failed = self.push_zfs_keys(ids)\n+ failed = self.push_zfs_keys(tls, ids) # type: ignore\n else:\n return\n else:\n- failed = self.pull_zfs_keys()\n+ failed = self.pull_zfs_keys(tls) # type: ignore\n if failed:\n self.middleware.call_sync(\n 'alert.oneshot_create', 'KMIPZFSDatasetsSyncFailure', {'datasets': ','.join(failed)}", + "header": "@@ -120,19 +126,20 @@ def pull_zfs_keys(self):", + "new_count": 20, + "new_start": 126, + "old_count": 19, + "old_start": 120 + } + ], + "language": "python", + "lines_added": 16, + "lines_removed": 9, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " from middlewared.service.decorators import pass_thread_local_storage\n from middlewared.utils.filter_list import filter_list\n from middlewared.plugins.pool_.utils import get_dataset_parents\n+from middlewared.plugins.zfs.encryption import check_key\n \n from .utils import DATASET_DATABASE_MODEL_NAME, dataset_can_be_mounted, retrieve_keys_from_file, ZFSKeyFormat\n ", + "header": "@@ -18,6 +18,7 @@", + "new_count": 7, + "new_start": 18, + "old_count": 6, + "old_start": 18 + }, + { + "content": " namespace = 'pool.dataset'\n \n @api_method(PoolDatasetEncryptionSummaryArgs, PoolDatasetEncryptionSummaryResult, roles=['DATASET_READ'])\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'encryption_summary_options_{args[0]}', pipes=['input'], check_pipes=False)\n- def encryption_summary(self, job, id_, options):\n+ def encryption_summary(self, job, tls, id_, options):\n \"\"\"\n Retrieve summary of all encrypted roots under `id`.\n ", + "header": "@@ -28,8 +29,9 @@ class Config:", + "new_count": 9, + "new_start": 29, + "old_count": 8, + "old_start": 28 + }, + { + "content": " verrors.check()\n datasets = self.query_encrypted_datasets(id_, {'all': True})\n \n- to_check = []\n+ results = []\n for name, ds in datasets.items():\n ds_key = keys_supplied.get(name, {}).get('key') or ds['encryption_key']\n if ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and ds_key:\n with contextlib.suppress(ValueError):\n ds_key = bytes.fromhex(ds_key)\n- to_check.append((name, {'key': ds_key}))\n \n- check_job = self.middleware.call_sync('zfs.dataset.bulk_process', 'check_key', to_check)\n- check_job.wait_sync()\n- if check_job.error:\n- raise CallError(f'Failed to retrieve encryption summary for {id_}: {check_job.error}')\n+ try:\n+ valid_key = check_key(tls, name, key=ds_key)\n+ except Exception:\n+ valid_key = False\n \n- results = []\n- for ds_data, status in zip(to_check, check_job.result):\n- ds_name = ds_data[0]\n- data = datasets[ds_name]\n results.append({\n- 'name': ds_name,\n- 'key_format': ZFSKeyFormat(data['key_format']['value']).value,\n- 'key_present_in_database': bool(data['encryption_key']),\n- 'valid_key': bool(status['result']), 'locked': data['locked'],\n+ 'name': name,\n+ 'key_format': ZFSKeyFormat(ds['key_format']['value']).value,\n+ 'key_present_in_database': bool(ds['encryption_key']),\n+ 'valid_key': valid_key,\n+ 'locked': ds['locked'],\n 'unlock_error': None,\n 'unlock_successful': False,\n })\n \n failed = set()\n for ds in sorted(results, key=lambda d: d['name'].count('/')):\n- for i in range(1, ds['name'].count('/') + 1):\n- check = ds['name'].rsplit('/', i)[0]\n+ ds_name = ds['name']\n+ for i in range(1, ds_name.count('/') + 1):\n+ check = ds_name.rsplit('/', i)[0]\n if check in failed:\n- failed.add(ds['name'])\n+ failed.add(ds_name)\n ds['unlock_error'] = f'Child cannot be unlocked when parent \"{check}\" is locked'\n \n- if ds['locked'] and not options['force'] and not keys_supplied.get(ds['name'], {}).get('force'):\n- err = dataset_can_be_mounted(ds['name'], os.path.join('/mnt', ds['name']))\n+ ds_locked = ds['locked']\n+ if ds_locked and not options['force'] and not keys_supplied.get(ds_name, {}).get('force'):\n+ err = dataset_can_be_mounted(ds_name, os.path.join('/mnt', ds_name))\n if ds['unlock_error'] and err:\n ds['unlock_error'] += f' and {err}'\n elif err:", + "header": "@@ -94,42 +96,40 @@ def encryption_summary(self, job, id_, options):", + "new_count": 40, + "new_start": 96, + "old_count": 42, + "old_start": 94 + }, + { + "content": " \n if ds['valid_key']:\n ds['unlock_successful'] = not bool(ds['unlock_error'])\n- elif not ds['locked']:\n+ elif not ds_locked:\n # For datasets which are already not locked, unlock operation for them\n # will succeed as they are not locked\n ds['unlock_successful'] = True\n else:\n- key_provided = ds['name'] in keys_supplied or ds['key_present_in_database']\n+ key_provided = ds_name in keys_supplied or ds['key_present_in_database']\n if key_provided:\n if ds['unlock_error']:\n- if ds['name'] in keys_supplied or ds['key_present_in_database']:\n+ if ds_name in keys_supplied or ds['key_present_in_database']:\n ds['unlock_error'] += ' and provided key is invalid'\n else:\n ds['unlock_error'] = 'Provided key is invalid'\n elif not ds['unlock_error']:\n ds['unlock_error'] = 'Key not provided'\n- failed.add(ds['name'])\n+ failed.add(ds_name)\n \n return results\n \n @periodic(86400)\n @private\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')\n- def sync_db_keys(self, job, name=None):\n+ def sync_db_keys(self, job, tls, name=None):\n if not self.middleware.call_sync('failover.is_single_master_node'):\n # We don't want to do this for passive controller\n return", + "header": "@@ -137,28 +137,29 @@ def encryption_summary(self, job, id_, options):", + "new_count": 29, + "new_start": 137, + "old_count": 28, + "old_start": 137 + }, + { + "content": " # It is possible we have a pool configured but for some mistake/reason the pool did not import like\n # during repair disks were not plugged in and system was booted, in such cases we would like to not\n # remove the encryption keys from the database.\n- for root_ds in {pool['name'] for pool in self.middleware.call_sync('pool.query')} - {\n- ds['id'] for ds in self.middleware.call_sync(\n+ pool_names = {pool['name'] for pool in self.middleware.call_sync('pool.query')}\n+ ds_names = {\n+ ds['id']\n+ for ds in self.middleware.call_sync(\n 'pool.dataset.query', [], {'extra': {'retrieve_children': False, 'properties': []}}\n )\n- }:\n+ }\n+ for root_ds in pool_names - ds_names:\n filters.extend([['name', '!=', root_ds], ['name', '!^', f'{root_ds}/']])\n \n db_datasets = self.query_encrypted_roots_keys(filters)\n encrypted_roots = {\n- d['name']: d for d in self.middleware.call_sync(\n- 'pool.dataset.query', filters, {'extra': {'properties': ['encryptionroot']}}\n- ) if d['name'] == d['encryption_root']\n+ d['name']: d\n+ for d in self.middleware.call_sync(\n+ 'pool.dataset.query',\n+ filters,\n+ {'extra': {'properties': ['encryptionroot', 'keyformat']}}\n+ )\n+ if d['name'] == d['encryption_root']\n }\n+\n to_remove = []\n- check_key_job = self.middleware.call_sync('zfs.dataset.bulk_process', 'check_key', [\n- (name, {'key': db_datasets[name]}) for name in db_datasets\n- ])\n- check_key_job.wait_sync()\n- if check_key_job.error:\n- self.logger.error(f'Failed to sync database keys: {check_key_job.error}')\n+ try:\n+ for ds_name, key in db_datasets.items():\n+ ds = encrypted_roots.get(ds_name)\n+ if ds and ZFSKeyFormat(ds['key_format']['value']) == ZFSKeyFormat.RAW and key:\n+ with contextlib.suppress(ValueError):\n+ key = bytes.fromhex(key)\n+\n+ try:\n+ should_remove = not check_key(tls, ds_name, key=key)\n+ except Exception:\n+ should_remove = True\n+\n+ if should_remove:\n+ to_remove.append(ds_name)\n+\n+ except Exception as exc:\n+ self.logger.error(f'Failed to sync database keys: {exc}')\n return\n \n- for dataset, status in zip(db_datasets, check_key_job.result):\n- if not status['result']:\n- to_remove.append(dataset)\n- elif status['error']:\n- if dataset not in encrypted_roots:\n- to_remove.append(dataset)\n- else:\n- self.logger.error(f'Failed to check encryption status for {dataset}: {status[\"error\"]}')\n-\n self.middleware.call_sync('pool.dataset.delete_encrypted_datasets_from_db', [['name', 'in', to_remove]])\n \n @private", + "header": "@@ -167,37 +168,47 @@ def sync_db_keys(self, job, name=None):", + "new_count": 47, + "new_start": 168, + "old_count": 37, + "old_start": 167 + } + ], + "language": "python", + "lines_added": 57, + "lines_removed": 46, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " from datetime import datetime\n from pathlib import Path\n \n+from truenas_pylibzfs import ZFSError, ZFSException\n+\n from middlewared.api import api_method\n from middlewared.api.current import (\n PoolDatasetLockArgs, PoolDatasetLockResult, PoolDatasetUnlockArgs, PoolDatasetUnlockResult\n )\n+from middlewared.plugins.zfs.encryption import load_key\n from middlewared.service import CallError, job, private, Service, ValidationErrors\n+from middlewared.service.decorators import pass_thread_local_storage\n from middlewared.utils.filesystem.directory import directory_is_empty\n \n from .utils import (", + "header": "@@ -6,11 +6,15 @@", + "new_count": 15, + "new_start": 6, + "old_count": 11, + "old_start": 6 + }, + { + "content": " return True\n \n @api_method(PoolDatasetUnlockArgs, PoolDatasetUnlockResult, roles=['DATASET_WRITE'])\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'dataset_unlock_{args[0]}', pipes=['input'], check_pipes=False)\n- def unlock(self, job, id_, options):\n+ def unlock(self, job, tls, id_, options):\n \"\"\"\n Unlock dataset `id` (and its children if `unlock_options.recursive` is `true`).\n ", + "header": "@@ -85,8 +89,9 @@ async def lock(self, job, id_, options):", + "new_count": 9, + "new_start": 89, + "old_count": 8, + "old_start": 85 + }, + { + "content": " \n job.set_progress(int(name_i / len(names) * 90 + 0.5), f'Unlocking {name!r}')\n try:\n- self.middleware.call_sync(\n- 'zfs.dataset.load_key', name, {'key': datasets[name]['key'], 'mount': False}\n- )\n- except CallError as e:\n- failed[name]['error'] = 'Invalid Key' if 'incorrect key provided' in str(e).lower() else str(e)\n+ load_key(tls, name, key=datasets[name]['key'])\n+ except ZFSException as e:\n+ if e.code == ZFSError.EZFS_CRYPTOFAILED:\n+ failed[name]['error'] = 'Invalid Key'\n+ else:\n+ failed[name]['error'] = str(e)\n+ continue\n+ except Exception as e:\n+ failed[name]['error'] = str(e)\n continue\n \n # Before we mount the dataset in question, we should ensure that the path where it will be mounted", + "header": "@@ -214,11 +219,15 @@ def unlock(self, job, id_, options):", + "new_count": 15, + "new_start": 219, + "old_count": 11, + "old_start": 214 + } + ], + "language": "python", + "lines_added": 15, + "lines_removed": 6, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": " PoolDatasetChangeKeyArgs, PoolDatasetChangeKeyResult, PoolDatasetInheritParentEncryptionPropertiesArgs,\n PoolDatasetInheritParentEncryptionPropertiesResult\n )\n+from middlewared.plugins.zfs.encryption import change_encryption_root, change_key\n from middlewared.service import CallError, job, private, Service, ValidationErrors\n+from middlewared.service.decorators import pass_thread_local_storage\n from middlewared.utils import secrets\n \n from .utils import DATASET_DATABASE_MODEL_NAME, ZFSKeyFormat", + "header": "@@ -4,7 +4,9 @@", + "new_count": 9, + "new_start": 4, + "old_count": 7, + "old_start": 4 + }, + { + "content": " PoolDatasetInsertOrUpdateEncryptedRecordResult,\n roles=['DATASET_WRITE']\n )\n- async def insert_or_update_encrypted_record(self, data):\n+ def insert_or_update_encrypted_record(self, data):\n key_format = data.pop('key_format') or ZFSKeyFormat.PASSPHRASE.value\n if not data['encryption_key'] or ZFSKeyFormat(key_format.upper()) == ZFSKeyFormat.PASSPHRASE:\n # We do not want to save passphrase keys - they are only known to the user\n return\n \n ds_id = data.pop('id')\n- ds = await self.middleware.call(\n+ ds = self.middleware.call_sync(\n 'datastore.query', DATASET_DATABASE_MODEL_NAME,\n [['id', '=', ds_id]] if ds_id else [['name', '=', data['name']]]\n )", + "header": "@@ -21,14 +23,14 @@ class Config:", + "new_count": 14, + "new_start": 23, + "old_count": 14, + "old_start": 21 + }, + { + "content": " \n pk = ds[0]['id'] if ds else None\n if ds:\n- await self.middleware.call(\n+ self.middleware.call_sync(\n 'datastore.update',\n DATASET_DATABASE_MODEL_NAME,\n ds[0]['id'], data\n )\n else:\n- pk = await self.middleware.call(\n+ pk = self.middleware.call_sync(\n 'datastore.insert',\n DATASET_DATABASE_MODEL_NAME,\n data\n )\n \n- kmip_config = await self.middleware.call('kmip.config')\n+ kmip_config = self.middleware.call_sync('kmip.config')\n if kmip_config['enabled'] and kmip_config['manage_zfs_keys']:\n- await self.middleware.call('kmip.sync_zfs_keys', [pk])\n+ self.middleware.call_sync('kmip.sync_zfs_keys', [pk])\n \n return pk\n ", + "header": "@@ -37,21 +39,21 @@ async def insert_or_update_encrypted_record(self, data):", + "new_count": 21, + "new_start": 39, + "old_count": 21, + "old_start": 37 + }, + { + "content": " return opts\n \n @api_method(PoolDatasetChangeKeyArgs, PoolDatasetChangeKeyResult, roles=['DATASET_WRITE'])\n+ @pass_thread_local_storage\n @job(lock=lambda args: f'dataset_change_key_{args[0]}', pipes=['input'], check_pipes=False)\n- async def change_key(self, job, id_, options):\n+ def change_key(self, job, tls, id_, options):\n \"\"\"\n Change encryption properties for `id` encrypted dataset.\n ", + "header": "@@ -114,8 +116,9 @@ def validate_encryption_data(self, job, verrors, encryption_dict, schema):", + "new_count": 9, + "new_start": 116, + "old_count": 8, + "old_start": 114 + }, + { + "content": " 1) It has encrypted roots as children which are encrypted with a key\n 2) If it is a root dataset where the system dataset is located\n \"\"\"\n- ds = await self.middleware.call('pool.dataset.get_instance_quick', id_, {\n+ ds = self.middleware.call_sync('pool.dataset.get_instance_quick', id_, {\n 'encryption': True,\n })\n verrors = ValidationErrors()", + "header": "@@ -124,7 +127,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 127, + "old_count": 7, + "old_start": 124 + }, + { + "content": " )\n elif any(\n d['name'] == d['encryption_root']\n- for d in await self.middleware.call(\n+ for d in self.middleware.call_sync(\n 'pool.dataset.query', [\n ['id', '^', f'{id_}/'], ['encrypted', '=', True],\n ['key_format.value', '!=', ZFSKeyFormat.PASSPHRASE.value]", + "header": "@@ -142,7 +145,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 145, + "old_count": 7, + "old_start": 142 + }, + { + "content": " f'{id_} has children which are encrypted with a key. It is not allowed to have encrypted '\n 'roots which are encrypted with a key as children for passphrase encrypted datasets.'\n )\n- elif id_ == (await self.middleware.call('systemdataset.config'))['pool']:\n+ elif id_ == self.middleware.call_sync('systemdataset.config')['pool']:\n verrors.add(\n 'id',\n f'{id_} contains the system dataset. Please move the system dataset to a '", + "header": "@@ -154,7 +157,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 157, + "old_count": 7, + "old_start": 154 + }, + { + "content": " f'change_key_options.{k}',\n 'Either Key or passphrase must be provided.'\n )\n- elif id_.count('/') and await self.middleware.call(\n+ elif id_.count('/') and self.middleware.call_sync(\n 'pool.dataset.query', [\n ['id', 'in', [id_.rsplit('/', i)[0] for i in range(1, id_.count('/') + 1)]],\n ['key_format.value', '=', ZFSKeyFormat.PASSPHRASE.value], ['encrypted', '=', True]", + "header": "@@ -167,7 +170,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 170, + "old_count": 7, + "old_start": 167 + }, + { + "content": " \n verrors.check()\n \n- encryption_dict = await self.middleware.call(\n+ encryption_dict = self.middleware.call_sync(\n 'pool.dataset.validate_encryption_data', job, verrors, {\n 'enabled': True, 'passphrase': options['passphrase'],\n 'generate_key': options['generate_key'], 'key_file': options['key_file'],", + "header": "@@ -181,7 +184,7 @@ async def change_key(self, job, id_, options):", + "new_count": 7, + "new_start": 184, + "old_count": 7, + "old_start": 181 + }, + { + "content": " encryption_dict.pop('encryption')\n key = encryption_dict.pop('key')\n \n- await self.middleware.call(\n- 'zfs.dataset.change_key', id_, {\n- 'encryption_properties': encryption_dict,\n- 'key': key, 'load_key': False,\n- }\n- )\n+ change_key(tls, id_, encryption_dict, key)\n \n # TODO: Handle renames of datasets appropriately wrt encryption roots and db - this will be done when\n # devd changes are in from the OS end\n data = {'encryption_key': key, 'key_format': 'PASSPHRASE' if options['passphrase'] else 'HEX', 'name': id_}\n- await self.insert_or_update_encrypted_record(data)\n+ self.insert_or_update_encrypted_record(data)\n if options['passphrase'] and ZFSKeyFormat(ds['key_format']['value']) != ZFSKeyFormat.PASSPHRASE:\n- await self.middleware.call('pool.dataset.sync_db_keys', id_)\n+ self.middleware.call_sync('pool.dataset.sync_db_keys', id_)\n \n data['old_key_format'] = ds['key_format']['value']\n- await self.middleware.call_hook('dataset.change_key', data)\n+ self.middleware.call_hook_sync('dataset.change_key', data)\n \n @api_method(\n PoolDatasetInheritParentEncryptionPropertiesArgs,\n PoolDatasetInheritParentEncryptionPropertiesResult,\n roles=['DATASET_WRITE']\n )\n- async def inherit_parent_encryption_properties(self, id_):\n+ @pass_thread_local_storage\n+ def inherit_parent_encryption_properties(self, tls, id_):\n \"\"\"\n Allows inheriting parent's encryption root discarding its current encryption settings. This\n can only be done where `id` has an encrypted parent and `id` itself is an encryption root.\n \"\"\"\n- ds = await self.middleware.call('pool.dataset.get_instance_quick', id_, {\n+ ds = self.middleware.call_sync('pool.dataset.get_instance_quick', id_, {\n 'encryption': True,\n })\n if not ds['encrypted']:", + "header": "@@ -194,34 +197,30 @@ async def change_key(self, job, id_, options):", + "new_count": 30, + "new_start": 197, + "old_count": 34, + "old_start": 194 + }, + { + "content": " elif '/' not in id_:\n raise CallError('Root datasets do not have a parent and cannot inherit encryption settings')\n else:\n- parent = await self.middleware.call(\n+ parent = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', id_.rsplit('/', 1)[0], {\n 'encryption': True,\n }", + "header": "@@ -233,7 +232,7 @@ async def inherit_parent_encryption_properties(self, id_):", + "new_count": 7, + "new_start": 232, + "old_count": 7, + "old_start": 233 + }, + { + "content": " if not parent['encrypted']:\n raise CallError('This operation requires the parent dataset to be encrypted')\n else:\n- parent_encrypted_root = await self.middleware.call(\n+ parent_encrypted_root = self.middleware.call_sync(\n 'pool.dataset.get_instance_quick', parent['encryption_root'], {\n 'encryption': True,\n }\n )\n- if ZFSKeyFormat(parent_encrypted_root['key_format']['value']) == ZFSKeyFormat.PASSPHRASE.value:\n+ if parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:\n if any(\n d['name'] == d['encryption_root']\n- for d in await self.middleware.call(\n+ for d in self.middleware.call_sync(\n 'pool.dataset.query', [\n ['id', '^', f'{id_}/'], ['encrypted', '=', True],\n ['key_format.value', '!=', ZFSKeyFormat.PASSPHRASE.value]", + "header": "@@ -241,15 +240,15 @@ async def inherit_parent_encryption_properties(self, id_):", + "new_count": 15, + "new_start": 240, + "old_count": 15, + "old_start": 241 + }, + { + "content": " 'roots which are encrypted with a key as children for passphrase encrypted datasets.'\n )\n \n- await self.middleware.call('zfs.dataset.change_encryption_root', id_, {'load_key': False})\n- await self.middleware.call('pool.dataset.sync_db_keys', id_)\n- await self.middleware.call_hook('dataset.inherit_parent_encryption_root', id_)\n+ change_encryption_root(tls, id_)\n+ self.middleware.call_sync('pool.dataset.sync_db_keys', id_)\n+ self.middleware.call_hook_sync('dataset.inherit_parent_encryption_root', id_)", + "header": "@@ -261,6 +260,6 @@ async def inherit_parent_encryption_properties(self, id_):", + "new_count": 6, + "new_start": 260, + "old_count": 6, + "old_start": 261 + } + ], + "language": "python", + "lines_added": 29, + "lines_removed": 30, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+import threading\n+from typing import Literal, TypedDict, cast\n+\n+from .exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n+from .utils import open_resource\n+\n+\n+class EncryptionProperties(TypedDict, total=False):\n+ keyformat: Literal['hex', 'passphrase', 'raw']\n+ keylocation: str\n+ pbkdf2iters: int | None\n+\n+\n+def load_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> None:\n+ \"\"\"\n+ Load the encryption key for a ZFS dataset.\n+\n+ Args:\n+ dataset: Name of the ZFS dataset whose key should be loaded.\n+\n+ Keyword Args:\n+ key: Key material as ``str`` (hex/passphrase) or ``bytes`` (raw).\n+ Mutually exclusive with ``key_location``.\n+ key_location: Path to the key file on disk.\n+ Mutually exclusive with ``key``.\n+ \"\"\"\n+ if len(kwargs) > 1:\n+ raise ValueError('Cannot specify both key and key location')\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ if crypto.info().key_is_loaded:\n+ raise ZFSKeyAlreadyLoadedException(dataset)\n+ crypto.load_key(**kwargs)\n+\n+\n+def check_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> bool:\n+ \"\"\"\n+ Return True if ``key`` (or the key at ``key_location``) can unlock ``dataset``.\n+\n+ Does not actually load the key. Raises ZFSNotEncryptedException if the\n+ dataset is not encrypted or if the ZFS operation fails for a reason other\n+ than a wrong key (EZFS_CRYPTOFAILED returns False rather than raising).\n+\n+ Args:\n+ dataset: Name of the ZFS dataset to check.\n+\n+ Keyword Args:\n+ key: Key material as ``str`` (hex/passphrase) or ``bytes`` (raw).\n+ Mutually exclusive with ``key_location``.\n+ key_location: Path to the key file on disk.\n+ Mutually exclusive with ``key``.\n+ \"\"\"\n+ if len(kwargs) > 1:\n+ raise ValueError('Cannot specify both key and key location')\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ return crypto.check_key(**kwargs) # type: ignore[no-any-return]\n+\n+\n+def change_key(\n+ tls: threading.local,\n+ dataset: str,\n+ properties: EncryptionProperties | None = None,\n+ key: str | None = None\n+) -> None:\n+ \"\"\"\n+ Change the encryption key and/or properties for ``dataset``.\n+\n+ The dataset's key must already be loaded before calling this.\n+\n+ Args:\n+ dataset: Name of the ZFS dataset whose key should be changed.\n+ properties: May contain any combination of keyformat, keylocation, and\n+ pbkdf2iters.\n+ key: New key material. Required when keylocation is not given.\n+ \"\"\"\n+ props = {} if properties is None else cast(dict[str, str | int | None], properties.copy())\n+ if key:\n+ props.pop('keylocation', None)\n+ props['key'] = key\n+ elif 'keylocation' not in props:\n+ raise ValueError('Must specify either key or key location')\n+\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ config = tls.lzh.resource_cryptography_config(**props)\n+ crypto.change_key(info=config)\n+\n+\n+def change_encryption_root(tls: threading.local, dataset: str) -> None:\n+ \"\"\"\n+ Make ``dataset`` inherit encryption from its parent, removing it as\n+ an encryption root.\n+\n+ ``dataset`` must currently be an encryption root and its key must be loaded.\n+\n+ Args:\n+ dataset: Name of the ZFS dataset to remove as an encryption root.\n+ \"\"\"\n+ rsrc = open_resource(tls, dataset)\n+ if (crypto := rsrc.crypto()) is None:\n+ raise ZFSNotEncryptedException(dataset)\n+ crypto.inherit_key()", + "header": "@@ -0,0 +1,106 @@", + "new_count": 106, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "python", + "lines_added": 106, + "lines_removed": 0, + "path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "status": "added" + }, + { + "hunks": [ + { + "content": "-from typing import Collection\n+from typing import Iterable\n \n __all__ = (\n+ \"ZFSKeyAlreadyLoadedException\",\n+ \"ZFSNotEncryptedException\",\n \"ZFSPathAlreadyExistsException\",\n \"ZFSPathInvalidException\",\n \"ZFSPathNotASnapshotException\",", + "header": "@@ -1,6 +1,8 @@", + "new_count": 8, + "new_start": 1, + "old_count": 6, + "old_start": 1 + }, + { + "content": " )\n \n \n+class ZFSKeyAlreadyLoadedException(Exception):\n+ def __init__(self, path: str):\n+ self.message = f\"{path!r} key is already loaded\"\n+ super().__init__(self.message)\n+\n+\n+class ZFSNotEncryptedException(Exception):\n+ def __init__(self, path: str):\n+ self.message = f\"{path!r} is not encrypted\"\n+ super().__init__(self.message)\n+\n+\n class ZFSPathAlreadyExistsException(Exception):\n def __init__(self, path: str):\n self.message = f\"{path!r} already exists\"", + "header": "@@ -9,6 +11,18 @@", + "new_count": 18, + "new_start": 11, + "old_count": 6, + "old_start": 9 + }, + { + "content": " \n \n class ZFSPathHasClonesException(Exception):\n- def __init__(self, path: str, clones: Collection[str]):\n+ def __init__(self, path: str, clones: Iterable[str]):\n self.path = path\n self.clones = clones\n self.message = f\"{path!r} has the following clones: {','.join(clones)}\"", + "header": "@@ -16,7 +30,7 @@ def __init__(self, path: str):", + "new_count": 7, + "new_start": 30, + "old_count": 7, + "old_start": 16 + }, + { + "content": " \n \n class ZFSPathHasHoldsException(Exception):\n- def __init__(self, path: str, holds: Collection[str]):\n+ def __init__(self, path: str, holds: Iterable[str]):\n self.message = f\"{path!r} has the following holds: {','.join(holds)}\"\n super().__init__(self.message)\n ", + "header": "@@ -24,7 +38,7 @@ def __init__(self, path: str, clones: Collection[str]):", + "new_count": 7, + "new_start": 38, + "old_count": 7, + "old_start": 24 + } + ], + "language": "python", + "lines_added": 17, + "lines_removed": 3, + "path": "src/middlewared/middlewared/plugins/zfs/exceptions.py", + "status": "modified" + }, + { + "hunks": [ + { + "content": "-import libzfs\n-\n-from middlewared.service import CallError, job, Service\n-\n-\n-class ZFSDatasetService(Service):\n-\n- class Config:\n- namespace = 'zfs.dataset'\n- private = True\n- process_pool = True\n-\n- def common_load_dataset_checks(self, id_, ds):\n- self.common_encryption_checks(id_, ds)\n- if ds.key_loaded:\n- raise CallError(f'{id_} key is already loaded')\n-\n- def common_encryption_checks(self, id_, ds):\n- if not ds.encrypted:\n- raise CallError(f'{id_} is not encrypted')\n-\n- def load_key(self, id_: str, options: dict | None = None):\n- if options is None:\n- options = {\n- 'mount': True,\n- 'recursive': False,\n- 'key': None,\n- 'key_location': None,\n- }\n- options.setdefault('mount', True)\n- options.setdefault('recursive', False)\n- options.setdefault('key', None)\n- options.setdefault('key_location', None)\n-\n- mount_ds = options.pop('mount')\n- recursive = options.pop('recursive')\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- self.common_load_dataset_checks(id_, ds)\n- ds.load_key(**options)\n- except libzfs.ZFSException as e:\n- self.logger.error(f'Failed to load key for {id_}', exc_info=True)\n- raise CallError(f'Failed to load key for {id_}: {e}')\n- else:\n- if mount_ds:\n- self.call_sync2(self.s.zfs.resource.mount, id_, recursive=recursive)\n-\n- def check_key(self, id_: str, options: dict | None = None):\n- \"\"\"\n- Returns `true` if the `key` is valid, `false` otherwise.\n- \"\"\"\n- if options is None:\n- options = {\n- 'key': None,\n- 'key_location': None,\n- }\n-\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- self.common_encryption_checks(id_, ds)\n- return ds.check_key(**options)\n- except libzfs.ZFSException as e:\n- self.logger.error(f'Failed to check key for {id_}', exc_info=True)\n- raise CallError(f'Failed to check key for {id_}: {e}')\n-\n- def change_key(self, id_: str, options: dict | None = None):\n- if options is None:\n- options = {\n- 'encryption_properties': {},\n- 'load_key': True,\n- 'key': None,\n- }\n-\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- self.common_encryption_checks(id_, ds)\n- ds.change_key(props=options['encryption_properties'], load_key=options['load_key'], key=options['key'])\n- except libzfs.ZFSException as e:\n- self.logger.error(f'Failed to change key for {id_}', exc_info=True)\n- raise CallError(f'Failed to change key for {id_}: {e}')\n-\n- def change_encryption_root(self, id_: str, options: dict | None = None):\n- if options is None:\n- options = {'load_key': True}\n-\n- try:\n- with libzfs.ZFS() as zfs:\n- ds = zfs.get_dataset(id_)\n- ds.change_key(load_key=options['load_key'], inherit=True)\n- except libzfs.ZFSException as e:\n- raise CallError(f'Failed to change encryption root for {id_}: {e}')\n-\n- @job()\n- def bulk_process(self, job, name: str, params: list):\n- f = getattr(self, name, None)\n- if not f:\n- raise CallError(f'{name} method not found in zfs.dataset')\n-\n- statuses = []\n- for i in params:\n- result = error = None\n- try:\n- result = f(*i)\n- except Exception as e:\n- error = str(e)\n- finally:\n- statuses.append({'result': result, 'error': error})\n-\n- return statuses", + "header": "@@ -1,112 +0,0 @@", + "new_count": 0, + "new_start": 0, + "old_count": 112, + "old_start": 1 + } + ], + "language": "", + "lines_added": 0, + "lines_removed": 112, + "path": "", + "status": "removed" + } + ], + "intent_gaps": [ + "The PR description says 'Replace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods' but does not enumerate which methods. The actual scope is: check_key, load_key, change_key, change_encryption_root in four separate call sites across three files. The description gives no indication that kmip/zfs_keys.py is included.", + "The PR description says 'This removes another use case of our process pool' but does not explain that the `zfs.dataset` service (`process_pool = True`) is being entirely deleted, not just reduced. The deleted file's `bulk_process` method was the batch dispatch mechanism; its removal means no more batch key-checking across datasets \u2014 checks are now serial within the job thread.", + "The PR description mentions a dependency on truenas_pylibzfs/pull/145 but does not specify what that PR adds (presumably the `crypto()` method on ZFS resources, `resource_cryptography_config`, and `ZFSResourceCryptography.check_key/load_key/change_key/inherit_key`). The correct behavior of this PR is entirely contingent on that dependency, which is not merged in this repository.", + "The pbkdf2iters security hardening (350k \u2192 1.3M) is not mentioned anywhere in the PR description. Reviewers would not know to scrutinize the performance and migration implications of this change without reading the API model diffs.", + "The PR does not address what happens to the `zfs.dataset.bulk_process` method that was used by callers outside the encryption path (if any). The deleted file's `bulk_process` was a generic dispatcher for any method on `ZFSDatasetService`; its removal is silent and no audit of other callers is documented.", + "The description does not clarify the error-handling philosophy change: old code wrapped all libzfs errors in CallError (friendly, loggable); new code lets raw truenas_pylibzfs ZFSException propagate to callers, relying on catch-all `except Exception` blocks in the job layer for recovery." + ], + "pr_narrative": "This PR replaces the deprecated `py-libzfs` (via `libzfs` Python bindings and the process-pool-dispatched `zfs.dataset` service) with direct `truenas_pylibzfs` calls for four ZFS dataset encryption operations: key loading, key checking, key changing, and encryption root inheritance.\n\n**Old mechanism**: `src/middlewared/middlewared/plugins/zfs_/dataset_encryption.py` defined a `ZFSDatasetService` class (namespace `zfs.dataset`) with `process_pool = True`. This class used `import libzfs` and opened a new `libzfs.ZFS()` context for every operation. Callers in `pool_/dataset_encryption_info.py` and `pool_/dataset_encryption_operations.py` dispatched to this service via `self.middleware.call('zfs.dataset.bulk_process', ...)` or `self.middleware.call('zfs.dataset.change_key', ...)` \u2014 meaning all operations ran in a subprocess pool, fully isolated from the main event loop, and all were `async`.\n\n**New mechanism**: A new module `src/middlewared/middlewared/plugins/zfs/encryption.py` is introduced containing four free functions (`load_key`, `check_key`, `change_key`, `change_encryption_root`) that operate directly on `truenas_pylibzfs` objects via a thread-local `tls.lzh` handle. These functions are called inline (no subprocess) from the same thread that holds the job or method. The `@pass_thread_local_storage` decorator is added to every consuming method to inject the `tls` argument, and each consuming method is converted from `async def` to synchronous `def` (with `await self.middleware.call(...)` replaced by `self.middleware.call_sync(...)`).\n\nThe change touches five callers:\n1. `pool_/dataset_encryption_info.py` \u2014 `encryption_summary` and `sync_db_keys` now call `check_key(tls, ...)` directly instead of dispatching a `bulk_process` job.\n2. `pool_/dataset_encryption_lock.py` \u2014 `unlock` now calls `load_key(tls, ...)` directly.\n3. `pool_/dataset_encryption_operations.py` \u2014 `change_key` and `inherit_parent_encryption_properties` now call `change_key(tls, ...)` and `change_encryption_root(tls, ...)` directly; `insert_or_update_encrypted_record` is also converted from `async` to sync.\n4. `kmip/zfs_keys.py` \u2014 `push_zfs_keys` and `pull_zfs_keys` now call `check_key(tls, ...)` directly with `@pass_thread_local_storage`.\n5. `api/v26_0_0/pool.py` and `api/v26_0_0/pool_dataset.py` \u2014 `pbkdf2iters` minimum/default raised from 350,000 to 1,300,000 for both `PoolCreateEncryptionOptions` and `PoolDatasetChangeKeyOptions`; a `from_previous` classmethod is added to clamp old values to the new minimum when migrating from prior API versions.\n\nThe deleted file `zfs_/dataset_encryption.py` (112 lines) is fully removed; its `bulk_process` method, subprocess dispatch, and per-call `libzfs.ZFS()` context creation are gone.", + "risk_surfaces": [ + "EXCEPTION CONTRACT CHANGE \u2014 load_key: The old `zfs.dataset.load_key` wrapped all `libzfs.ZFSException` in `CallError` and logged before raising. The new `load_key` in `zfs/encryption.py` raises `ZFSNotEncryptedException` or `ZFSKeyAlreadyLoadedException` for those pre-checks, then calls `crypto.load_key(**kwargs)` which propagates raw `truenas_pylibzfs.ZFSException` directly. In `dataset_encryption_lock.py:222-228`, the `unlock` method catches `ZFSException` (checking `e.code == ZFSError.EZFS_CRYPTOFAILED`) and bare `Exception`, so the raw `ZFSException` from `crypto.load_key()` is still caught. However, `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` are plain `Exception` subclasses with no `code` attribute \u2014 they will be caught by the bare `except Exception` branch and surfaced as a string error rather than the typed `CallError` the old code would have produced. Callers expecting a `CallError` (e.g. the WebSocket client) would previously get a structured error; now they get a raw exception string.", + "EXCEPTION CONTRACT CHANGE \u2014 check_key: Old `zfs.dataset.check_key` raised `CallError` on any `libzfs.ZFSException` (including wrong-key scenarios). The new `check_key` raises `ZFSNotEncryptedException` for non-encrypted datasets but returns `False` for `EZFS_CRYPTOFAILED` (per docstring). In `encryption_summary` (line 106-109) and `sync_db_keys` (line 200-203), both sites wrap `check_key` in `except Exception: valid_key/should_remove = False/True`, so the behavior is preserved for the happy path. However, there is no guard against passing `key=None` to `crypto.check_key()`. In `encryption_summary`, `ds_key` can be `None` if `ds['encryption_key']` is `None` and no key was supplied by the user \u2014 `check_key(tls, name, key=None)` would pass `key=None` as a kwarg into `crypto.check_key(key=None)`. The behavior of `truenas_pylibzfs`'s `check_key(key=None)` is not visible in this repo; if it does not accept `None`, an exception is raised and silently swallowed to `valid_key = False`, which is the same end result as before \u2014 but relying on an exception catch to cover this is fragile.", + "BULK PROCESS REMOVED \u2014 error aggregation semantics: The old `sync_db_keys` called `zfs.dataset.bulk_process('check_key', [...])` which processed all datasets, accumulated per-dataset errors in `status['error']`, and only aborted if the job itself errored. The new code wraps the entire loop in a single `try/except Exception` (line 208-210). If any unexpected exception escapes the inner `try/except Exception` at line 200-203 (which seems impossible in current code but is a structural fragility), the outer handler will abort the entire loop and return early without processing remaining datasets. The old code continued on a per-dataset error and then separately checked `check_key_job.error` for the job-level error. The new outer catch at line 208-210 logging `f'Failed to sync database keys: {exc}'` uses an f-string without `exc_info=True`, losing the stack trace.", + "ASYNC-TO-SYNC CONVERSION \u2014 insert_or_update_encrypted_record: This method changed from `async def` to `def`. Its callers in `dataset_encryption_lock.py` (`unlock`) and `dataset_encryption_operations.py` (`change_key`) are also sync, so the immediate callers are fine. However, if any other caller invokes this as `await self.middleware.call('pool.dataset.insert_or_update_encrypted_record', ...)` from an async context, it will still work through the middleware dispatch layer. The concern is whether any external caller relied on this being co-routine-safe. No external callers are visible in the diff, but this should be verified.", + "DECORATOR ORDERING \u2014 @pass_thread_local_storage with @job: In `encryption_summary` and `sync_db_keys`, the decorator order is `@pass_thread_local_storage` above `@job`. The `tls` argument is injected between `self/job` and the user-visible arguments (`id_`, `options`, `name`). If the `@job` decorator wraps the function and then `@pass_thread_local_storage` wraps that, the positional argument order seen by the actual function body is `(self, job, tls, id_, options)`. This pattern matches how `unlock` was already written (`def unlock(self, job, tls, id_, options)`), so it appears intentional. But `sync_db_keys` has `lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}'` \u2014 the `args` lambda receives the job's original positional args. If `tls` is now injected before `name`, the lock key computation could change. Verify that the `args` lambda in `@job` sees the pre-`tls`-injection argument list.", + "change_key \u2014 load_key parameter removed: The old `zfs.dataset.change_key` accepted a `load_key` boolean (always passed as `False` from the calling site). The new `change_key` in `zfs/encryption.py` does not accept or pass `load_key` at all to `crypto.change_key(info=config)`. If `truenas_pylibzfs`'s `crypto.change_key` has a different default for whether it reloads the key, the behavior could diverge from the old code's explicit `load_key=False`.", + "change_key \u2014 props/key argument shape: The old code called `ds.change_key(props=options['encryption_properties'], load_key=False, key=options['key'])` with `props` as a dict. The new `change_key` builds a `props` dict from `EncryptionProperties`, calls `tls.lzh.resource_cryptography_config(**props)` to get a config object, then passes `info=config` to `crypto.change_key`. The `resource_cryptography_config` API (defined in `truenas_pylibzfs`) must accept the same property names (`keyformat`, `keylocation`, `pbkdf2iters`, `key`). If `truenas_pylibzfs` rejects unknown property names or has different semantics for `pbkdf2iters=None` (the TypedDict marks it as `int | None`), key-change operations could fail silently or raise.", + "change_encryption_root \u2014 ZFSKeyFormat comparison bug fix: In the old code (line in diff): `if ZFSKeyFormat(parent_encrypted_root['key_format']['value']) == ZFSKeyFormat.PASSPHRASE.value:` \u2014 this compared a `ZFSKeyFormat` enum member to a string (`.value`), which would always be `False`. The new code: `if parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:` \u2014 correctly compares two strings. This is a behavioral change: the passphrase-key-children guard in `inherit_parent_encryption_properties` was previously never enforced (always skipped) and will now be enforced. This is a semantics fix, but it is an undocumented behavior change that could break workflows where users inherited encryption roots from passphrase-encrypted parents that had key-encrypted children.", + "pbkdf2iters default increase \u2014 from_previous migration: `PoolCreateEncryptionOptions` and `PoolDatasetChangeKeyOptions` in `api/v26_0_0` raise the minimum from 100,000 to 1,300,000 and the default from 350,000 to 1,300,000. The `from_previous` classmethod clamps existing values upward with `max(1300000, value['pbkdf2iters'])`. This means any existing dataset or pool that was created with pbkdf2iters between 100,000 and 1,299,999 will silently have their iteration count upgraded on the next API operation touching these fields. This can cause a significant increase in key-derivation time during unlock. This is a security hardening but is a breaking change for automated scripts that stored or compared pbkdf2iters values.", + "KMIP check_key \u2014 no tls guard: In `kmip/zfs_keys.py`, `push_zfs_keys` and `pull_zfs_keys` now call `check_key(tls, ...)` directly. The `@pass_thread_local_storage` decorator was added to both. However, these are called from `sync_zfs_keys` at lines 138 and 142 as `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)` \u2014 passing `tls` explicitly. If `@pass_thread_local_storage` injects `tls` automatically, passing it explicitly would result in a double injection (`tls` appears twice in the argument list). This is a potential signature mismatch that could cause a `TypeError` at runtime.", + "path_in_locked_datasets \u2014 not in PR scope but adjacent risk: This method in `dataset_encryption_info.py` (lines 216-283) already uses `tls.lzh.open_resource(...)` directly and was not changed by this PR. It is annotated as a hot code path and handles `ZFSException` with EZFS_NOENT and EZFS_INVALIDNAME filtering. This code is architecturally similar to the new functions but was not touched, which is correct. However, reviewers should verify no regression was introduced in how `ZFSException` is imported \u2014 the import at line 9 is `from truenas_pylibzfs import ZFSError, ZFSException`, which is correct." + ], + "stats": { + "files_added": 1, + "files_modified": 7, + "files_removed": 1, + "files_renamed": 0, + "test_files_changed": 0, + "test_to_code_ratio": 0, + "total_additions": 254, + "total_deletions": 210, + "total_files": 9 + }, + "unrelated_changes": [ + "api/v26_0_0/pool.py and api/v26_0_0/pool_dataset.py \u2014 pbkdf2iters default/minimum raised from 350,000 to 1,300,000 with a `from_previous` migration validator added. This is a security hardening change unrelated to the py-libzfs \u2192 truenas_pylibzfs refactor. The PR description makes no mention of this change.", + "dataset_encryption_operations.py \u2014 The `ZFSKeyFormat` comparison bug fix in `inherit_parent_encryption_properties` (old: compared enum instance to string value, always False; new: compares two strings, now actually enforces the constraint) is a behavioral bug fix bundled into this refactor PR without mention in the PR description.", + "dataset_encryption_info.py sync_db_keys \u2014 The query for `encrypted_roots` was changed to also fetch the `keyformat` property (`'properties': ['encryptionroot', 'keyformat']`) where before it only fetched `encryptionroot`. This is needed for the new hex-key detection logic but represents a query change not mentioned in the PR description.", + "kmip/zfs_keys.py get_encrypted_datasets \u2014 Changed from calling `self.middleware.call_sync('pool.dataset.query', ...)` (old code, visible from context) to using `self.call_sync2(self.s.zfs.resource.query_impl, ZFSResourceQuery(...))` \u2014 an internal implementation-level change that shifts from the high-level dataset query to the low-level ZFS resource query. This may filter or format results differently." + ] + }, + "budget": { + "budget_exhausted": true, + "cost_breakdown": { + "adversary": 0, + "anatomy": 0, + "coverage": 0, + "cross_ref": 0, + "intake": 0, + "meta_selectors": 0, + "output": 0, + "review": 0, + "synthesis": 0 + }, + "max_cost_usd": 2, + "max_duration_seconds": 900, + "total_cost_usd": 0 + }, + "intake": { + "ai_generated": 0, + "areas_touched": [ + "api" + ], + "complexity": "standard", + "languages": [ + "python" + ], + "pr_summary": "Replace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods. This removes another use case of our process pool.\r\n\r\nDepends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145.", + "pr_type": "refactor", + "review_depth": "standard", + "risk_signals": [ + "changes API surface or request/response behavior" + ] + }, + "phases_completed": [ + "intake", + "anatomy", + "meta_selectors", + "review", + "adversary", + "cross_ref", + "coverage", + "synthesis", + "output" + ], + "plan": { + "ai_adjusted": false, + "cross_ref_hints": [], + "dimensions": [ + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/exceptions.py" + ], + "id": "semantic_sem_01", + "name": "Exception contract change in load_key: typed exceptions vs. CallError", + "priority": 10, + "review_prompt": "The old `zfs.dataset.load_key` caught all `libzfs.ZFSException` and re-raised as `CallError`. The new `load_key` in `zfs/encryption.py` raises `ZFSNotEncryptedException` or `ZFSKeyAlreadyLoadedException` (plain `Exception` subclasses with no `code` attribute) for pre-check failures, and lets raw `truenas_pylibzfs.ZFSException` propagate from `crypto.load_key()`. In `dataset_encryption_lock.py`, the `unlock` method catches `ZFSException` (checking `e.code == ZFSError.EZFS_CRYPTOFAILED`) and then a bare `except Exception`. Verify: (1) `ZFSNotEncryptedException` and `ZFSKeyAlreadyLoadedException` \u2014 do they fall through to the bare `except Exception` branch and get surfaced as a raw string error rather than a structured `CallError`? (2) Do any callers of `unlock` (e.g., WebSocket dispatch) depend on receiving a `CallError` with a specific `.errno` or `.errmsg` structure? (3) Are there any paths where the new typed exceptions bypass all error handling and bubble up to the framework uncaught?", + "target_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py" + ], + "id": "mechanical_mech_1", + "name": "KMIP double-injection: @pass_thread_local_storage + explicit tls arg causes TypeError", + "priority": 10, + "review_prompt": "In `kmip/zfs_keys.py`, `push_zfs_keys` and `pull_zfs_keys` have been decorated with `@pass_thread_local_storage`, which automatically injects `tls` as the first argument after `self`. However, their caller `sync_zfs_keys` invokes them as `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)` \u2014 passing `tls` explicitly as a positional argument. If `@pass_thread_local_storage` injects `tls` into the argument list before the call executes, and the caller also passes `tls` explicitly, the function receives `tls` twice: once from the decorator injection and once from the caller. This will produce a `TypeError: push_zfs_keys() got multiple values for argument 'tls'` (or a positional argument count mismatch) at runtime.\n\nYour task:\n1. Read `kmip/zfs_keys.py` in full. Identify the signatures of `push_zfs_keys`, `pull_zfs_keys`, and `sync_zfs_keys`.\n2. Read or infer the implementation of `@pass_thread_local_storage` to understand exactly when and how it injects `tls` \u2014 does it inject before or after the decorated function is called, and does it strip `tls` from the call-site args?\n3. Determine whether `sync_zfs_keys` must be updated to NOT pass `tls` explicitly (because the decorator handles it), or whether the decorator was NOT intended to be added to these methods (and they should instead receive `tls` from their caller).\n4. If a double-injection bug exists, report the exact file and line numbers, the erroneous decorator placement or call-site, and the correct fix.\n5. If no double-injection occurs (e.g., the decorator is a pass-through that does not inject when already present), explain the mechanism that prevents the bug.", + "target_files": [ + "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" + ], + "id": "mechanical_mech_2", + "name": "Exception contract break: ZFSKeyAlreadyLoadedException / ZFSNotEncryptedException caught by bare except as string, not CallError", + "priority": 9, + "review_prompt": "The new `load_key` function in `zfs/encryption.py` raises `ZFSKeyAlreadyLoadedException` or `ZFSNotEncryptedException` (both plain `Exception` subclasses defined in `zfs/exceptions.py`) as pre-condition guards before calling `crypto.load_key()`. In `dataset_encryption_lock.py`, the `unlock` method catches exceptions in two branches: `except ZFSException as e` (checking `e.code == ZFSError.EZFS_CRYPTOFAILED`) and a bare `except Exception as e`. The new custom exceptions are NOT `ZFSException` subclasses, so they fall into the bare `except Exception` branch and are stringified into the error result \u2014 instead of being raised as a structured `CallError` as the old code did.\n\nYour task:\n1. Read `zfs/exceptions.py` to confirm the class hierarchy of `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException`. Do they inherit from `ZFSException`, `CallError`, or plain `Exception`?\n2. Read `dataset_encryption_lock.py` lines 200\u2013240 (approximate). Trace what happens when each of these two exceptions is raised: which `except` branch catches it, what is placed in the error result (stringified message vs. structured `CallError`), and whether a `CallError` is ever re-raised.\n3. Read `zfs/encryption.py` `load_key` function fully. Confirm it raises these exceptions before calling `crypto.load_key()`.\n4. Determine whether the callers of `unlock` (e.g., the WebSocket API layer) expect a `CallError` with a specific `errno` or just any exception. If `CallError` is expected, the current code is a contract break.\n5. Report all locations where the exception handling must be updated to convert these custom exceptions into `CallError` before they escape to callers, or where the exception class hierarchy must be changed.", + "target_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/zfs/exceptions.py", + "src/middlewared/middlewared/plugins/zfs/encryption.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/zfs/encryption.py" + ], + "id": "semantic_sem_03", + "name": "ZFSKeyFormat enum comparison fix silently activates previously dead guard", + "priority": 8, + "review_prompt": "In the old `inherit_parent_encryption_properties` / `change_encryption_root`, the condition `if ZFSKeyFormat(parent_encrypted_root['key_format']['value']) == ZFSKeyFormat.PASSPHRASE.value:` compared a `ZFSKeyFormat` enum instance to a string (`.value`), which always evaluates to `False` in Python due to type-strict `==` semantics. This means the guard that prevents key-encrypted children from inheriting encryption roots from passphrase-encrypted parents was never enforced. The new code uses `if parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:`, a string-to-string comparison that correctly enforces the guard. Verify: (1) Confirm the old code's comparison was indeed always `False` \u2014 that is, no datasets exist in production that relied on this guard being a no-op. (2) What is the exact behavior change for a key-encrypted child dataset whose parent has a passphrase-encrypted root \u2014 will the operation now raise an error, return early, or behave differently in some other way? (3) Is there any documented or tested workflow that previously worked because this guard was silently skipped, and will now fail?", + "target_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [], + "id": "semantic_sem_04", + "name": "pbkdf2iters silent upgrade via from_previous: latency regression and breakage for automation", + "priority": 7, + "review_prompt": "In `api/v26_0_0/pool.py` and `api/v26_0_0/pool_dataset.py`, `PoolCreateEncryptionOptions` and `PoolDatasetChangeKeyOptions` now default `pbkdf2iters` to 1,300,000 (up from 350,000) with a minimum of 1,300,000. The `from_previous` classmethod uses `max(1300000, value['pbkdf2iters'])` to silently clamp old values upward. Verify: (1) Is the `from_previous` migration invoked on read (i.e., for existing dataset API responses) or only on write (i.e., only when the user explicitly submits a key-change operation)? If invoked on write, does the caller receive the upgraded value transparently without being warned? (2) For existing datasets with pbkdf2iters between 100,000 and 1,299,999, will the iteration count be silently changed to 1,300,000 on the next `change_key` call, meaning the encryption parameters of a live dataset change without explicit user intent? (3) On low-power or embedded hardware, does a 3.7x increase in PBKDF2 iterations cause key-derivation to exceed unlock timeouts, potentially making encrypted datasets permanently inaccessible without intervention?", + "target_files": [ + "src/middlewared/middlewared/api/v26_0_0/pool.py", + "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 4 + }, + "context_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" + ], + "id": "mechanical_mech_3", + "name": "Decorator ordering: @pass_thread_local_storage above @job \u2014 does @job lambda see pre- or post-tls-injection arg list?", + "priority": 7, + "review_prompt": "In `dataset_encryption_info.py`, `sync_db_keys` uses `@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')` stacked beneath `@pass_thread_local_storage`. The `args` lambda passed to `@job` receives the positional arguments at the time the job dispatch layer captures them. If `@pass_thread_local_storage` is the outer decorator (applied last, wraps the `@job`-decorated function), then `tls` is injected AFTER the `@job` lock-key computation runs \u2014 meaning the lock lambda sees `(name,)` as intended. But if the decorator order means `@job` wraps the already-`tls`-injected function, the lambda would see `(tls, name)` and the lock key would be `sync_encrypted_pool_dataset_keys_(tls_object, 'poolname')`, producing an incorrect and potentially non-unique lock key.\n\nYour task:\n1. Read `dataset_encryption_info.py` to confirm the exact decorator order on `sync_db_keys` (which decorator appears on the line immediately above `def sync_db_keys`).\n2. Find and read the implementation of `@pass_thread_local_storage` to understand its wrapping behavior \u2014 does it wrap the already-decorated function or is it the inner decorator?\n3. Find and read the `@job` decorator implementation to understand when the `lock` lambda is evaluated relative to argument injection by outer decorators.\n4. Determine whether the `lock` lambda in `sync_db_keys` receives `(name,)` or `(tls, name)` at runtime.\n5. If `tls` is visible to the lambda, report the exact file/line and explain why the lock key will be malformed, and what the correct fix is (e.g., swap decorator order, or adjust the lambda to index `args[1]` instead of `args`).", + "target_files": [ + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py" + ] + } + ], + "total_budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + } + } + }, + "pr_url": "https://github.com/truenas/middleware/pull/18291", + "review": { + "body": "## \ud83d\udd34 PR-AF Review \u2014 **Changes Required**\n\n*Automated multi-agent code review \u00b7 [PR-AF](https://github.com/Agent-Field/agentfield) built with [AgentField](https://github.com/Agent-Field/agentfield)*\n\n> **14 findings** \u00b7 \ud83d\udd34 2 critical \u00b7 \ud83d\udfe0 9 important \u00b7 \ud83d\udd35 2 suggestions \u00b7 \u26aa 1 nitpicks\n\n
\nPR Overview\n\nReplace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods. This removes another use case of our process pool.\r\n\r\nDepends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145.\n\n
\n\n### Key Findings\n\n**11 issue(s) should be addressed before merge:**\n\n- \ud83d\udd34 **zfs_keys cache silently wiped on every push/pull: `k in existing_datasets` checks string in list-of-dicts** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:94`) \u2014 `get_encrypted_datasets` returns a `list` of dataset dicts (each a `dict` with keys `'name'`, `'id'`, `'encryption_key'`, `'kmip_uid'`, etc.).\n- \ud83d\udd34 **Missing `id` argument in `datastore.update` call \u2014 wrong argument count, update never applied to correct row** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:157`) \u2014 The `datastore.update` API signature is `(table: str, id: int, data: dict)`.\n- \ud83d\udfe0 **Old guard was always False: key-encrypted child under passphrase-root inheritance was never blocked** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:248`) \u2014 **The old comparison was provably always `False`.** In the prior code (`bde8f1de3b`), the guard in `inherit_parent_encryption_properties_impl` read: ```python if ZFSKeyFormat(parent_encrypted_root.k\u2026\n- \ud83d\udfe0 **ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException silently swallowed as string errors instead of structured CallError** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:229`) \u2014 The bare `except Exception as e` branch on line 229 catches `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` (both plain `Exception` subclasses from `zfs/exceptions.py`) and converts them\u2026\n- \ud83d\udfe0 **from_previous fires on write only; legacy API callers have pbkdf2iters silently upgraded to 1,300,000 without any notification** (`src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:183`) \u2014 **`from_previous` is invoked exclusively on incoming write operations (argument upgrade), never on reads (API responses).** The `APIVersionsAdapter` in `legacy_api_method.py` upgrades incoming parame\u2026\n- \ud83d\udfe0 **`sync_db_keys` lock lambda embeds the full args list, causing inconsistent lock keys between periodic and explicit calls** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:161`) \u2014 The `lock` lambda on `sync_db_keys` uses `args` (the entire raw-arguments list) rather than `args[0]` (the first positional argument, `name`): ```python @job(lock=lambda args: f'sync_encrypted_pool_d\u2026\n- \ud83d\udfe0 **Existing passphrase-encrypted datasets silently re-keyed at 3.7x higher iteration count on next change_key call via any API version** (`src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:175`) \u2014 **Existing datasets with `pbkdf2iters` between 100,000 and 1,299,999 will have their iteration count permanently changed to 1,300,000 on the next `change_key` call, regardless of whether the user expl\u2026\n- \ud83d\udfe0 **Custom ZFS exceptions inherit from plain Exception instead of CallError, breaking structured error propagation across all callers** (`src/middlewared/middlewared/plugins/zfs/exceptions.py:14`) \u2014 `ZFSKeyAlreadyLoadedException` (line 14) and `ZFSNotEncryptedException` (line 20) both inherit directly from `Exception`.\n- \u2026 and 3 more (see All Findings by Severity)\n\n**3 suggestion(s) and style note(s):**\n\n- \ud83d\udd35 No double-injection bug: explicit tls passing is correct for direct calls (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:138`)\n- \ud83d\udd35 No test covers the newly-enforced rejection path (passphrase root + key-encrypted child roots) (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:248`)\n- \u26aa Original `tls`-injection concern is a false alarm: decorator order is correct and `tls` is never visible to the lock lambda (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:158`)\n\n**Files with findings:** `src/middlewared/middlewared/api/v26_0_0/pool.py`, `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py`, `src/middlewared/middlewared/plugins/kmip/zfs_keys.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py`, `src/middlewared/middlewared/plugins/zfs/encryption.py`, `src/middlewared/middlewared/plugins/zfs/exceptions.py`\n\n
\nAll Findings by Severity\n\n#### \ud83d\udd34 Critical (2)\n\n- **zfs_keys cache silently wiped on every push/pull: `k in existing_datasets` checks string in list-of-dicts** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:94`\n- **Missing `id` argument in `datastore.update` call \u2014 wrong argument count, update never applied to correct row** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:157`\n\n#### \ud83d\udfe0 Important (9)\n\n- **Old guard was always False: key-encrypted child under passphrase-root inheritance was never blocked** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:248`\n- **ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException silently swallowed as string errors instead of structured CallError** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:229`\n- **from_previous fires on write only; legacy API callers have pbkdf2iters silently upgraded to 1,300,000 without any notification** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:183`\n- **`sync_db_keys` lock lambda embeds the full args list, causing inconsistent lock keys between periodic and explicit calls** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:161`\n- **Existing passphrase-encrypted datasets silently re-keyed at 3.7x higher iteration count on next change_key call via any API version** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:175`\n- **Custom ZFS exceptions inherit from plain Exception instead of CallError, breaking structured error propagation across all callers** `src/middlewared/middlewared/plugins/zfs/exceptions.py:14`\n- **ZFSNotEncryptedException from change_key() propagates as raw Exception to WebSocket API layer \u2014 no CallError wrapping** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:200`\n- **Raw truenas_pylibzfs.ZFSException from crypto.load_key() propagates out of encryption.load_key() undecorated, breaking the old CallError contract for any caller outside unlock** `src/middlewared/middlewared/plugins/zfs/encryption.py:34`\n- **3.7x PBKDF2 iteration increase enforced with no hardware capability check; may cause passphrase unlock timeouts making datasets inaccessible** `src/middlewared/middlewared/api/v26_0_0/pool.py:151`\n\n#### \ud83d\udd35 Suggestion (2)\n\n- **No double-injection bug: explicit tls passing is correct for direct calls** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:138`\n- **No test covers the newly-enforced rejection path (passphrase root + key-encrypted child roots)** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:248`\n\n#### \u26aa Nitpick (1)\n\n- **Original `tls`-injection concern is a false alarm: decorator order is correct and `tls` is never visible to the lock lambda** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:158`\n\n
\n\n
\nReview Process Details\n\n**Dimensions Analyzed (6):**\n\n- **Exception contract change in load_key: typed exceptions vs. CallError** \u2014 2 file(s)\n- **KMIP double-injection: @pass_thread_local_storage + explicit tls arg causes TypeError** \u2014 1 file(s)\n- **Exception contract break: ZFSKeyAlreadyLoadedException / ZFSNotEncryptedException caught by bare except as string, not CallError** \u2014 3 file(s)\n- **ZFSKeyFormat enum comparison fix silently activates previously dead guard** \u2014 1 file(s)\n- **pbkdf2iters silent upgrade via from_previous: latency regression and breakage for automation** \u2014 2 file(s)\n- **Decorator ordering: @pass_thread_local_storage above @job \u2014 does @job lambda see pre- or post-tls-injection arg list?** \u2014 1 file(s)\n\n**Meta-Dimension Lenses (3):**\n\n- **Semantic** \u2014 5 dimension(s), 88% coverage confidence\n- **Mechanical** \u2014 3 dimension(s), 87% coverage confidence\n- **Systemic** \u2014 2 dimension(s), 82% coverage confidence\n\n
\n\n
\nPipeline Stats\n\n| Metric | Value |\n|--------|-------|\n| Duration | 1808.7s |\n| Agent invocations | 11 |\n| Coverage iterations | 0 |\n| Estimated cost | N/A (provider does not report cost) |\n| Budget exhausted | Yes (timeout: 1808s > 900s limit) |\n| PR type | refactor |\n| Complexity | standard |\n\n
\n\nReview ID: `rev_07c8d4f2bf5a`", + "comments": [ + { + "body": "\ud83d\udfe0 **[IMPORTANT] Old guard was always False: key-encrypted child under passphrase-root inheritance was never blocked**\n\n**The old comparison was provably always `False`.**\n\nIn the prior code (`bde8f1de3b`), the guard in `inherit_parent_encryption_properties_impl` read:\n\n```python\nif ZFSKeyFormat(parent_encrypted_root.key_format.value) == ZFSKeyFormat.PASSPHRASE.value:\n```\n\nThe left-hand side is `ZFSKeyFormat('PASSPHRASE')` \u2014 a `ZFSKeyFormat` enum *instance* \u2014 while the right-hand side is `ZFSKeyFormat.PASSPHRASE.value` \u2014 the raw string `'PASSPHRASE'`. Python's `==` for `Enum` instances does **not** fall back to comparing against the `.value`; an enum member only equals itself (or another member with the same identity), never a plain string. This was verified:\n\n```\nZFSKeyFormat('PASSPHRASE') == 'PASSPHRASE' # \u2192 False, always\n```\n\n**What the guard was supposed to do:** prevent a key-encrypted dataset (`id_`) that has its own key-encrypted child encryption roots from inheriting a passphrase-encrypted parent root. If such a dataset were allowed to inherit, its key-encrypted children would end up under a passphrase root, violating the invariant that passphrase roots cannot have key-encrypted encryption-root descendants.\n\n**Behavioral change introduced by the fix:** The new code uses:\n\n```python\nif parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:\n```\n\nThis is a string-to-string comparison (`'PASSPHRASE' == 'PASSPHRASE'`) that evaluates to `True` correctly. For the first time, the inner `any(...)` check that looks for key-encrypted child encryption roots is actually executed, and if any are found, a `CallError` is raised, preventing the operation.\n\n**Concrete scenario now blocked that was previously silently allowed:**\n\n1. Pool `tank` has dataset `tank/passroot` encrypted with a passphrase (encryption root).\n2. Under it, `tank/passroot/keyroot` is a key-encrypted encryption root (HEX format).\n3. Under `keyroot`, `tank/passroot/keyroot/keychild` is *also* a key-encrypted encryption root.\n4. A user calls `pool.dataset.inherit_parent_encryption_properties('tank/passroot/keyroot')`.\n5. **Old code:** guard fires `False`, inner check is skipped, `change_encryption_root` executes. `keyroot` now falls under `passroot`'s passphrase root, but `keychild` remains a separate key-encrypted root under a passphrase root \u2014 an explicitly forbidden structure.\n6. **New code:** guard fires `True`, inner `any()` detects `keychild`, raises `CallError` with a clear message. The operation is rejected.\n\n**Does any existing production workflow depend on the old no-op guard?** The only test exercising `inherit_parent_encryption_properties` (`test_key_encrypted_dataset` at line 404) uses a *hex-key* parent root, so `parent_encrypted_root['key_format']['value'] == 'HEX'`, and the guard evaluates to `False` in both old and new code. That test is unaffected. There is no test covering the now-enforced case (passphrase parent root + key-encrypted child roots), which is the exact gap described below.\n\n---\n\n> Step 1: Old code at `bde8f1de3b` line ~222: `if ZFSKeyFormat(parent_encrypted_root.key_format.value) == ZFSKeyFormat.PASSPHRASE.value:`\n> Step 2: `parent_encrypted_root.key_format.value` is a string, e.g. `'PASSPHRASE'`.\n> Step 3: `ZFSKeyFormat('PASSPHRASE')` constructs `ZFSKeyFormat.PASSPHRASE`, an enum instance.\n> Step 4: `ZFSKeyFormat.PASSPHRASE == 'PASSPHRASE'` \u2192 `False` (Python Enum.__eq__ compares member identity, not value string).\n> Step 5: The `if` body (the `any()` child-root check and potential `raise CallError`) is NEVER reached regardless of input.\n> Step 6: `change_encryption_root` / `zfs.dataset.change_encryption_root` always executes even when the parent root is passphrase-encrypted and the dataset has key-encrypted child roots.\n> Verification: `python3 -c \"from enum import Enum; class E(Enum): P='PASSPHRASE'; print(E('PASSPHRASE') == 'PASSPHRASE')\"` prints `False`.\n\n**\ud83d\udca1 Suggested Fix**\n\nThe fix is correct. The only follow-up needed is a regression test for the newly-enforced path: create a passphrase-encrypted root, a key-encrypted encryption root beneath it, and a second key-encrypted encryption root as a child of that \u2014 then assert that `inherit_parent_encryption_properties` on the middle dataset raises a `CallError`. This ensures the guard remains correct if the code is refactored again.\n\n---\n*`Enum vs String Comparison Bug in Encryption Root Guard` \u00b7 confidence 98%*", + "line": 248, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException silently swallowed as string errors instead of structured CallError**\n\nThe bare `except Exception as e` branch on line 229 catches `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` (both plain `Exception` subclasses from `zfs/exceptions.py`) and converts them to `failed[name]['error'] = str(e)` \u2014 a raw string embedded in the return value dict.\n\nThis is a contract violation because:\n1. These exceptions are **pre-condition guards** (dataset not encrypted, or key already loaded) that signal programmer/caller errors, not transient ZFS crypto failures. Treating them identically to \"Invalid Key\" hides the actual cause.\n2. The `unlock` API method's structured return `{'unlocked': [...], 'failed': {...}}` will surface these as opaque string errors (e.g. `\"'pool/ds' key is already loaded\"`) with no errno or structured error code, making it impossible for callers to distinguish pre-condition failures from crypto failures.\n3. The old code path (before `load_key` was extracted to `zfs/encryption.py`) presumably raised `CallError` directly \u2014 the refactoring broke this by introducing new exception types without updating the catch sites.\n\nSpecifically:\n- `ZFSKeyAlreadyLoadedException` raised at `encryption.py:33` falls into `except Exception` at `dataset_encryption_lock.py:229`\n- `ZFSNotEncryptedException` raised at `encryption.py:31` similarly falls into `except Exception` at `dataset_encryption_lock.py:229`\n\nNeither is ever re-raised as a `CallError`.\n\n---\n\n> Step 1: `unlock` calls `load_key(tls, name, key=datasets[name]['key'])` at line 222.\n> Step 2: `load_key` in `zfs/encryption.py:31` calls `rsrc.crypto()`, and if it returns `None`, raises `ZFSNotEncryptedException(dataset)` \u2014 a subclass of plain `Exception` (confirmed at `exceptions.py:20`).\n> Step 3: `load_key` at `encryption.py:33` raises `ZFSKeyAlreadyLoadedException(dataset)` if `crypto.info().key_is_loaded` is True \u2014 also a plain `Exception` subclass (`exceptions.py:14`).\n> Step 4: Neither exception is a `ZFSException` subclass (imported from `truenas_pylibzfs`), so the `except ZFSException as e` block at line 223 does NOT catch them.\n> Step 5: They fall through to `except Exception as e` at line 229, where `failed[name]['error'] = str(e)` stores the message string `\"'pool/ds' key is already loaded\"` or `\"'pool/ds' is not encrypted\"` \u2014 no `CallError`, no errno.\n\n**\ud83d\udca1 Suggested Fix**\n\nEither (a) make `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` inherit from `CallError` (with appropriate `errno` values such as `errno.ENOTSUP` for not-encrypted and `errno.EEXIST` for already-loaded), OR (b) add an explicit catch before the bare `except Exception` block:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n\ntry:\n load_key(tls, name, key=datasets[name]['key'])\nexcept ZFSKeyAlreadyLoadedException:\n # Key already loaded means dataset is effectively unlocked; treat as success or specific error\n failed[name]['error'] = 'Key is already loaded'\n continue\nexcept ZFSNotEncryptedException:\n failed[name]['error'] = 'Dataset is not encrypted'\n continue\nexcept ZFSException as e:\n ...\nexcept Exception as e:\n failed[name]['error'] = str(e)\n continue\n```\nOption (a) is cleaner and ensures these exceptions carry structured error information everywhere they propagate.\n\n---\n*`Exception Handling Contract` \u00b7 confidence 95%*", + "line": 229, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] from_previous fires on write only; legacy API callers have pbkdf2iters silently upgraded to 1,300,000 without any notification**\n\n**`from_previous` is invoked exclusively on incoming write operations (argument upgrade), never on reads (API responses).**\n\nThe `APIVersionsAdapter` in `legacy_api_method.py` upgrades incoming parameters from an older API version to the current version via `_adapt_params`, which calls `adapter.adapt(params_dict, model_name, self.api_version, self.adapter.current_version)`. Because `version1_index < version2_index` the direction resolves to `Direction.UPGRADE`, triggering `new_model.from_previous(value)` at `version.py:233`.\n\nConversely, `_dump_result` adapts the **result** from `current_version` back to `api_version` (downgrade direction), which calls `to_previous`. Neither `PoolDatasetChangeKeyOptions` nor `PoolCreateEncryptionOptions` define `to_previous`, so outgoing responses are never touched.\n\n**Practical impact:** An automation client or script pinned to API v25.x that deliberately submits `pbkdf2iters=350000` (valid under `ge=100000` in v25.10.x) will have that value silently overwritten to `1300000` by `from_previous` before the `change_key` handler executes. The caller receives `{\"result\": null}` \u2014 the standard success response for `PoolDatasetChangeKeyResult` \u2014 with no indication that a different iteration count was actually applied to ZFS.\n\nNote: `pbkdf2iters` is only forwarded to the ZFS layer when `passphrase_key_format=True` (plugin line 114), so this affects only passphrase-encrypted datasets. For raw-hex keyed datasets `pbkdf2iters` is excluded from `opts` entirely and no iteration count is stored.\n\n---\n\n> Step 1: Client on API v25.10.2 calls `pool.dataset.change_key` with `options={\"pbkdf2iters\": 350000, \"passphrase\": \"mypass\"}`. Old model allows this: `pbkdf2iters: int = Field(default=350000, ge=100000)` (v25_10_2/pool_dataset.py:175).\n> Step 2: `LegacyAPIMethod.call()` (legacy_api_method.py:60) calls `_adapt_params()` \u2192 `adapter.adapt(params_dict, 'PoolDatasetChangeKeyArgs', 'v25.10.2', 'v26.0.0')`.\n> Step 3: `adapt_model` computes `version1_index < version2_index` \u2192 `direction = Direction.UPGRADE`.\n> Step 4: `_adapt_value` on `PoolDatasetChangeKeyArgs` calls `_adapt_nested_value` on the `options` field because both versions define a model named `PoolDatasetChangeKeyOptions`; this triggers a recursive `_adapt_value` call.\n> Step 5: At the end of the nested `_adapt_value`, line 233 of version.py: `value = new_model.from_previous(value)` where `new_model` is v26_0_0's `PoolDatasetChangeKeyOptions`.\n> Step 6: `from_previous` (pool_dataset.py:185) executes `value['pbkdf2iters'] = max(1300000, 350000)` \u2192 `1300000`.\n> Step 7: `change_key` plugin receives `options['pbkdf2iters'] == 1300000`, passes it to `validate_encryption_data` (line 191), which includes it in `opts` because `passphrase_key_format=True` (line 114).\n> Step 8: `zfs/encryption.py::change_key()` permanently stores `pbkdf2iters=1300000` in the dataset's ZFS config.\n> Step 9: `_dump_result` downgrades `{\"result\": null}` \u2014 no clamping info is surfaced.\n\n**\ud83d\udca1 Suggested Fix**\n\nAt minimum, emit a job log warning when `pbkdf2iters` is clamped upward. A job-status message such as `job.set_progress(0, f'Note: pbkdf2iters elevated from submitted value to {options[\"pbkdf2iters\"]}')` would make the override visible to operators. Longer-term, consider returning the effective `pbkdf2iters` in the result payload or adding a `to_previous` on the result model so legacy clients can detect the discrepancy.\n\n---\n*`PBKDF2 Iteration Count Silent Migration` \u00b7 confidence 95%*", + "line": 183, + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] `sync_db_keys` lock lambda embeds the full args list, causing inconsistent lock keys between periodic and explicit calls**\n\nThe `lock` lambda on `sync_db_keys` uses `args` (the entire raw-arguments list) rather than `args[0]` (the first positional argument, `name`):\n\n```python\n@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')\ndef sync_db_keys(self, job, tls, name=None):\n```\n\nThe `@job` and `@pass_thread_local_storage` decorators are both **pure marker decorators** \u2014 they stamp attributes on the function and return it unchanged. `Job.__init__` stores the raw caller-supplied `params` list as `self.args`, and the lock lambda is evaluated with that list before the job is queued (in `JobsQueue.handle_lock` \u2192 `Job.get_lock_name`). The `tls` object is injected at run time in `Job.__run_body`, well after lock computation, so `tls` is **not** visible to the lambda.\n\nThe real problem is that `name` has a default of `None`. This means:\n\n| Call site | `self.args` passed to lambda | Resulting lock key |\n|---|---|---|\n| Periodic scheduler (no args) | `[]` | `sync_encrypted_pool_dataset_keys_[]` |\n| `call_sync('pool.dataset.sync_db_keys', 'tank')` | `['tank']` | `sync_encrypted_pool_dataset_keys_['tank']` |\n| `call_sync('pool.dataset.sync_db_keys', None)` | `[None]` | `sync_encrypted_pool_dataset_keys_[None]` |\n\nThe periodic invocation produces the key `sync_encrypted_pool_dataset_keys_[]` while an explicit `sync_db_keys(None)` produces `sync_encrypted_pool_dataset_keys_[None]` \u2014 these are **different lock keys**, so the two calls do NOT share a lock and can run concurrently. This defeats the purpose of the lock for the all-datasets sync case.\n\nBy contrast, the `encryption_summary` lock lambda on the same class correctly uses `args[0]`:\n```python\n@job(lock=lambda args: f'encryption_summary_options_{args[0]}', ...)\n```\n\nAdditionally, the lock key includes Python list-repr brackets (e.g., `['tank']`) rather than a clean string like `tank`, making the key non-human-readable and fragile if calling conventions change.\n\n---\n\n> Step 1: `sync_db_keys` is decorated with `@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')` at line 161.\n> Step 2: `@job` is a pure marker decorator (`decorators.py:153-166`) \u2014 it sets `fn._job = {'lock': lock, ...}` and returns `fn` unchanged.\n> Step 3: `_call_prepare` in `main.py:880` constructs `Job(self, name, serviceobj, methodobj, params, ...)` where `params` is the raw caller-supplied arguments list.\n> Step 4: `Job.__init__` at `job.py:333` stores `self.args = args` (the `params` parameter passed in).\n> Step 5: `JobsQueue.add` at `job.py:149` calls `self.handle_lock(job)`, which calls `job.get_lock_name()` at `job.py:422`: `lock_name = lock_name(self.args)` \u2014 so the lambda receives the raw `params` list.\n> Step 6: Periodic scheduler calls `sync_db_keys` with zero user arguments \u2192 `params = []` \u2192 lambda receives `[]` \u2192 lock key is `sync_encrypted_pool_dataset_keys_[]`.\n> Step 7: Explicit `call_sync('pool.dataset.sync_db_keys', None)` \u2192 `params = [None]` \u2192 lambda receives `[None]` \u2192 lock key is `sync_encrypted_pool_dataset_keys_[None]`.\n> Step 8: Keys differ \u2192 neither invocation blocks the other \u2192 two full-dataset syncs can run concurrently.\n\n**\ud83d\udca1 Suggested Fix**\n\nChange the lambda to extract only the first argument and normalize `None` to an empty string, mirroring the pattern used by `encryption_summary`:\n\n```python\n@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args[0] if args else \"\"}')\n```\n\nThis ensures:\n- A periodic call (no args) and an explicit `call(..., None)` both produce the same lock key: `sync_encrypted_pool_dataset_keys_None`\n- A call with a specific pool name produces `sync_encrypted_pool_dataset_keys_tank`\n- The key no longer contains list brackets\n\n---\n*`Decorator Order and Lock Key Correctness` \u00b7 confidence 92%*", + "line": 161, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Existing passphrase-encrypted datasets silently re-keyed at 3.7x higher iteration count on next change_key call via any API version**\n\n**Existing datasets with `pbkdf2iters` between 100,000 and 1,299,999 will have their iteration count permanently changed to 1,300,000 on the next `change_key` call, regardless of whether the user explicitly requested this change.**\n\nThere are two distinct triggers:\n\n1. **Legacy API client omits `pbkdf2iters`:** The v25.10.x default was 350,000. When a v25.x client calls `change_key` without specifying `pbkdf2iters`, `_adapt_value` fills in the missing field using the **v26.0.0 new default** of `1300000` (version.py:226: `value[key_to_use] = field_info.get_default(call_default_factory=True)`). `from_previous` then sees `max(1300000, 1300000)` which is a no-op \u2014 but the applied value is the new default, not what the user would have expected from their v25.x context.\n\n2. **Legacy API client explicitly submits `pbkdf2iters=350000`:** `from_previous` clamps it to 1,300,000 as described in the companion finding.\n\nIn both cases, `change_key` permanently alters the ZFS dataset property `pbkdf2iters`. Once a dataset is re-keyed at 1,300,000 iterations, every subsequent passphrase-unlock of that dataset (at boot, during HA failover, or via `pool.dataset.unlock`) will run PBKDF2 with 1,300,000 iterations. The user never saw a prompt asking to confirm this change, and the API response `{\"result\": null}` provides no visibility into what iteration count was applied.\n\n**Scope:** Only passphrase-encrypted datasets are affected (line 114 of `dataset_encryption_operations.py` guards `pbkdf2iters` inclusion on `passphrase_key_format=True`). Raw-hex keyed datasets are not affected.\n\n---\n\n> Step 1: User has a passphrase-encrypted dataset with `pbkdf2iters=350000` (set under v25.x).\n> Step 2: User or script calls `pool.dataset.change_key` via v25.x API client without specifying `pbkdf2iters`.\n> Step 3: `_adapt_value` (version.py:224-227) detects `pbkdf2iters` is absent; since the field has a default in v26 (`1300000`), it fills: `value['pbkdf2iters'] = 1300000`.\n> Step 4: `from_previous` is a no-op for `max(1300000, 1300000)`, but the effective value is now 1,300,000 instead of the user's expected 350,000.\n> Step 5: `change_key` plugin line 191 passes `pbkdf2iters: 1300000` to `validate_encryption_data`.\n> Step 6: Since `passphrase_key_format=True`, line 114 includes `pbkdf2iters` in `opts`.\n> Step 7: `zfs/encryption.py::change_key()` writes `pbkdf2iters=1300000` permanently to ZFS.\n> Step 8: API returns `{\"result\": null}` \u2014 no indication the iteration count was elevated.\n\n**\ud83d\udca1 Suggested Fix**\n\nCompare `options['pbkdf2iters']` against the dataset's current stored iteration count before applying the change (available via `ds['pbkdf2iters']['parsed']` from `get_instance_quick`). If the value is being elevated due to the minimum-floor and not due to the user explicitly passing the new value, emit a warning. Consider adding a `pbkdf2iters_effective` field to `PoolDatasetChangeKeyResult` so callers can detect the actual value applied.\n\n---\n*`PBKDF2 Iteration Count Silent Migration` \u00b7 confidence 92%*", + "line": 175, + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Custom ZFS exceptions inherit from plain Exception instead of CallError, breaking structured error propagation across all callers**\n\n`ZFSKeyAlreadyLoadedException` (line 14) and `ZFSNotEncryptedException` (line 20) both inherit directly from `Exception`. This is the root cause of the contract break identified in the other findings.\n\nIn the TrueNAS middleware architecture, user-facing errors are expected to be `CallError` instances (with an `errno` attribute). Any unhandled non-`CallError` exception that escapes a service method is treated as an internal server error by the WebSocket API layer, producing unstructured error responses.\n\nBy making these exceptions plain `Exception` subclasses:\n1. Every call site that calls `load_key()`, `check_key()`, `change_key()`, or `change_encryption_root()` must manually wrap exceptions to convert them to `CallError` \u2014 creating a systemic catch-site gap.\n2. Existing bare `except Exception` handlers (as in `dataset_encryption_lock.py:229`) silently absorb them as string errors with no errno, making them indistinguishable from other failures.\n3. The `.message` attribute is redundant with `str(e)` since `super().__init__(self.message)` already sets the string representation \u2014 the `.message` attribute is never used by any handler.\n\n---\n\n> Step 1: `exceptions.py:14` \u2014 `class ZFSKeyAlreadyLoadedException(Exception)` \u2014 base class is plain `Exception`.\n> Step 2: `exceptions.py:20` \u2014 `class ZFSNotEncryptedException(Exception)` \u2014 base class is plain `Exception`.\n> Step 3: These are imported and raised in `zfs/encryption.py` at lines 31, 33, 58, 88, 105.\n> Step 4: `dataset_encryption_lock.py:229` and `dataset_encryption_operations.py:200,263` are call sites with no conversion to `CallError`.\n> Step 5: The middleware WebSocket error dispatch (not read, but standard TrueNAS architecture) wraps `CallError` into structured JSON error responses with errno codes; plain `Exception` becomes an unstructured internal error.\n\n**\ud83d\udca1 Suggested Fix**\n\nChange the base class of both exceptions to `CallError` with appropriate errno values:\n```python\nfrom middlewared.service.core import CallError # or wherever CallError is importable\nimport errno\n\nclass ZFSKeyAlreadyLoadedException(CallError):\n def __init__(self, path: str):\n super().__init__(f\"{path!r} key is already loaded\", errno=errno.EEXIST)\n\nclass ZFSNotEncryptedException(CallError):\n def __init__(self, path: str):\n super().__init__(f\"{path!r} is not encrypted\", errno=errno.ENOTSUP)\n```\nThis ensures that wherever these exceptions propagate \u2014 through `except Exception`, `except CallError`, or unhandled \u2014 they carry structured error information and are handled correctly by the middleware's error dispatch layer. Note: verify there are no circular import issues between `middlewared.plugins.zfs` and `middlewared.service`; if so, an intermediate base class in `zfs/exceptions.py` may be needed.\n\n---\n*`Exception Handling Contract` \u00b7 confidence 90%*", + "line": 14, + "path": "src/middlewared/middlewared/plugins/zfs/exceptions.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] ZFSNotEncryptedException from change_key() propagates as raw Exception to WebSocket API layer \u2014 no CallError wrapping**\n\n`dataset_encryption_operations.py:200` calls `change_key(tls, id_, encryption_dict, key)` with no surrounding try/except. The `change_key` function in `zfs/encryption.py:87-88` can raise `ZFSNotEncryptedException` if `rsrc.crypto()` returns `None`.\n\nAlthough the `change_key` method does validate `ds['encrypted']` at line 134 via `verrors.add`, this is a **database/metadata check** \u2014 it does NOT prevent a race condition where the ZFS state diverges from the database (e.g. dataset was recreated between the query and the `change_key` call). If the ZFS layer reports the dataset as unencrypted but the DB still has it marked encrypted, `ZFSNotEncryptedException` will propagate all the way to the WebSocket API layer as an unhandled `Exception`, not a `CallError`.\n\nSimilarly, `change_encryption_root` at `dataset_encryption_operations.py:263` calls `change_encryption_root(tls, id_)` which also raises `ZFSNotEncryptedException` at `encryption.py:104-105` with no catch.\n\n---\n\n> Step 1: `change_key` method in `dataset_encryption_operations.py:200` calls `change_key(tls, id_, encryption_dict, key)` with no try/except.\n> Step 2: `change_key` in `zfs/encryption.py:86-88`: `rsrc = open_resource(tls, dataset); if (crypto := rsrc.crypto()) is None: raise ZFSNotEncryptedException(dataset)`.\n> Step 3: `ZFSNotEncryptedException` inherits from `Exception` (confirmed at `exceptions.py:20`), NOT from `CallError`.\n> Step 4: No catch exists between `encryption.py:88` and the WebSocket layer. The exception propagates as a raw `Exception`.\n> Step 5: The WebSocket API layer expects `CallError` for user-facing error messages with structured errno codes. A raw `Exception` results in an unstructured 500-style error.\n> Same path applies to `change_encryption_root` at `dataset_encryption_operations.py:263` calling `encryption.py:103-105`.\n\n**\ud83d\udca1 Suggested Fix**\n\nWrap the `change_key` and `change_encryption_root` calls with try/except to convert `ZFSNotEncryptedException` (and `ZFSKeyAlreadyLoadedException` if applicable) into `CallError`:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSNotEncryptedException\n\ntry:\n change_key(tls, id_, encryption_dict, key)\nexcept ZFSNotEncryptedException as e:\n raise CallError(str(e), errno=errno.ENOTSUP)\n```\nAlternatively, make `ZFSNotEncryptedException` a subclass of `CallError` with a fixed errno so it automatically presents correctly to all callers throughout the codebase.\n\n---\n*`Exception Handling Contract` \u00b7 confidence 82%*", + "line": 200, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Raw truenas_pylibzfs.ZFSException from crypto.load_key() propagates out of encryption.load_key() undecorated, breaking the old CallError contract for any caller outside unlock**\n\nIn the old `zfs.dataset.load_key` service method, all `libzfs.ZFSException` instances were caught and re-raised as `CallError`. In the new `encryption.py:load_key()`, the call to `crypto.load_key(**kwargs)` at line 34 is **not wrapped in any try/except**.\n\nAny `truenas_pylibzfs.ZFSException` raised by `crypto.load_key()` propagates directly out of `encryption.load_key()` back to its caller with:\n- A `.code` attribute (a `ZFSError` enum value)\n- **No `.errmsg`** or **`.errno`** fields in the `CallError` sense\n- No `CallError` wrapping\n\nFor the `unlock` call path in `dataset_encryption_lock.py`, this is handled correctly: `except ZFSException as e:` at line 223 catches these and processes `EZFS_CRYPTOFAILED` vs. other codes. So the current only caller handles it.\n\nHowever, the **API contract has silently changed**: any other present or future caller of `encryption.load_key()` that expects `CallError` (because the old `zfs.dataset.load_key` always raised `CallError`) will receive raw `ZFSException` instead. If such a caller reaches the WebSocket dispatch layer without intermediate handling, `websocket_app.py:196-207` catches the bare `Exception`, calls `adapt_exception(e)` (which only handles `subprocess.CalledProcessError` \u2014 not `ZFSException`), and falls back to `send_error(message, EINVAL, str(e))`, losing the original ZFS error code entirely and emitting a generic `EINVAL` to the client.\n\n---\n\n> Step 1: `encryption.py:load_key()` calls `crypto.load_key(**kwargs)` at line 34 with no surrounding try/except block.\n> Step 2: `truenas_pylibzfs.ZFSException` is the exception type raised by `crypto.load_key()` on failure (e.g., wrong key \u2192 `EZFS_CRYPTOFAILED`).\n> Step 3: `ZFSException` has a `.code` attribute (a `ZFSError` enum), but no `.errmsg` or `.errno` in the `CallError` sense.\n> Step 4: The old service method `zfs.dataset.load_key` caught all `libzfs.ZFSException` and re-raised as `CallError` \u2014 all callers expected `CallError`.\n> Step 5: A hypothetical new caller of `encryption.load_key()` that does not import `truenas_pylibzfs.ZFSException` and uses only `except CallError` will miss the exception.\n> Step 6: That uncaught `ZFSException` reaches `websocket_app.py:196`, `adapt_exception(e)` returns `None` (only handles `CalledProcessError`), and `send_error(message, EINVAL, str(e))` emits an unstructured `EINVAL` response to the client.\n\n**\ud83d\udca1 Suggested Fix**\n\nEither:\n1. **Document the contract explicitly** in `load_key()`'s docstring: state that it may raise `truenas_pylibzfs.ZFSException` directly (in addition to `ZFSNotEncryptedException` and `ZFSKeyAlreadyLoadedException`), so all callers know they must handle `ZFSException`.\n2. **Convert at the boundary**: wrap `crypto.load_key(**kwargs)` in a try/except that re-raises as a typed domain exception (e.g., add `ZFSLoadKeyException` to `exceptions.py`), so `encryption.py` never leaks `truenas_pylibzfs` types to callers:\n```python\ntry:\n crypto.load_key(**kwargs)\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n raise ZFSInvalidKeyException(dataset) from e\n raise\n```\nOption 2 is the cleaner design: it keeps `truenas_pylibzfs` as an internal implementation detail.\n\n---\n*`Exception Handling and Error Flow` \u00b7 confidence 80%*", + "line": 34, + "path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] 3.7x PBKDF2 iteration increase enforced with no hardware capability check; may cause passphrase unlock timeouts making datasets inaccessible**\n\n**The 3.7x increase from 350,000 to 1,300,000 PBKDF2 iterations is applied unconditionally with no runtime check for hardware capability. On low-power or embedded hardware, this can cause passphrase-based key derivation to exceed unlock timeouts, making encrypted datasets permanently inaccessible without manual CLI intervention.**\n\nOnce a passphrase-encrypted dataset is re-keyed with `pbkdf2iters=1300000` (whether explicitly or via the silent clamping in `from_previous`), every future unlock attempt runs PBKDF2-SHA256 with 1,300,000 iterations synchronously. On ARM SoCs and Atom-class CPUs common in consumer NAS hardware:\n- At 350,000 iters: typically ~0.5\u20131 second per dataset\n- At 1,300,000 iters: typically ~2\u20134 seconds per dataset\n\nFor pools with multiple passphrase-encrypted datasets that must all unlock at pool import (a common TrueNAS configuration), unlock times multiply linearly. If this occurs during boot under a systemd service timeout, or during HA failover under a failover timeout, the unlock will fail \u2014 and with `ge=1300000` enforced as the hard minimum, there is **no API path** to reduce the iteration count back down without using the ZFS CLI directly (`zfs change-key -o pbkdf2iters=...`).\n\nThe `change_key` plugin (`dataset_encryption_operations.py:118`) does not measure or estimate key derivation time before applying the new iteration count. Neither `PoolCreateEncryptionOptions` nor `PoolDatasetChangeKeyOptions` expose any per-hardware tuning path below the new minimum.\n\nNote: `PoolCreateEncryptionOptions.from_previous` in `pool.py:152` applies the same clamping on pool creation encryption options. For new pool creation this affects the root dataset's initial encryption setup, not just re-keying.\n\n---\n\n> Step 1: Passphrase-encrypted dataset is re-keyed to `pbkdf2iters=1300000` via `change_key` (either explicitly or via silent clamping from `from_previous`).\n> Step 2: `dataset_encryption_operations.py:191` passes `pbkdf2iters: options['pbkdf2iters']` to `validate_encryption_data`.\n> Step 3: `validate_encryption_data` line 114 includes `pbkdf2iters` in `opts` when `passphrase_key_format=True`.\n> Step 4: `zfs/encryption.py::change_key()` line 89 calls `tls.lzh.resource_cryptography_config(**props)` with `pbkdf2iters=1300000`, permanently recording it as a ZFS dataset property.\n> Step 5: On the next pool import or `pool.dataset.unlock`, ZFS runs PBKDF2-SHA256 with 1,300,000 iterations to derive the wrapping key from the passphrase.\n> Step 6: On low-power hardware (e.g., Cortex-A53 at 1.4GHz, ~350k iters/sec for PBKDF2-SHA256), this takes ~3.7 seconds per dataset. With 5 passphrase datasets: ~18.5 seconds total.\n> Step 7: If a systemd or HA failover timeout fires during this window, unlock fails; dataset remains locked.\n> Step 8: The `ge=1300000` constraint on `PoolDatasetChangeKeyOptions` means there is no supported API path to reduce `pbkdf2iters` on an already-re-keyed dataset \u2014 only direct ZFS CLI access can recover.\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider the following mitigations: (1) **Benchmark gate:** Before applying `change_key` with a high `pbkdf2iters`, run a short PBKDF2 benchmark and warn or reject if estimated unlock time exceeds a configurable threshold. (2) **System-wide override:** Allow a `tunable` or system config option to set a lower `pbkdf2iters` ceiling for constrained hardware, overriding the API minimum for that installation. (3) **Recovery documentation:** Explicitly document that `zfs change-key -o pbkdf2iters=` is available as a recovery path if unlock times become prohibitive. (4) **Job warning:** At minimum, have the `change_key` job emit a progress message noting the effective iteration count when it exceeds the old default.\n\n---\n*`PBKDF2 Iteration Count Silent Migration` \u00b7 confidence 75%*", + "line": 151, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] No double-injection bug: explicit tls passing is correct for direct calls**\n\n`@pass_thread_local_storage` is a **marker-only decorator** \u2014 it sets `fn._pass_thread_local_storage = True` and returns `fn` unchanged (`decorators.py:221-222`). The actual `tls` injection happens only at API dispatch time: in `main.py:862-865` for normal methods and `job.py:620-621` for `@job` methods.\n\nWhen `sync_zfs_keys` calls `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)` directly (lines 138 and 142), these are **plain Python method calls** \u2014 they bypass the middleware dispatch system entirely. The `_pass_thread_local_storage` attribute on `push_zfs_keys` and `pull_zfs_keys` has **no effect** on direct calls. Therefore, `tls` is supplied exactly once by the caller, and the functions receive it correctly.\n\nThe decorators on `push_zfs_keys`/`pull_zfs_keys` are intentional: they allow those methods to be called independently through the middleware dispatch system (e.g., `self.middleware.call_sync('kmip.push_zfs_keys', ...)`) with `tls` injected automatically. The `# type: ignore` comments are consistent with the decorator's type signature hiding `tls` from external callers.\n\n**No double-injection occurs. The code is correct for this pattern.**\n\n---\n\n> Step 1: `pass_thread_local_storage` in `service/decorators.py:209-222` sets `fn._pass_thread_local_storage = True` and returns `fn` unchanged \u2014 no wrapping, no injection at decoration time.\n> Step 2: `main.py:862-865` \u2014 injection only occurs inside `_call_prepare`, which is invoked by the middleware dispatch system, not on direct Python calls.\n> Step 3: `job.py:620-621` \u2014 same: injection only at job run time via `prepend.append(thread_local_storage)`.\n> Step 4: `sync_zfs_keys` at lines 138/142 calls `self.push_zfs_keys(tls, ids)` directly \u2014 this is a plain Python attribute lookup and call, bypassing `_call_prepare` entirely.\n> Step 5: `push_zfs_keys` receives `(self, tls, ids)` \u2014 one `tls` from the caller, zero injected by decorator. Correct.\n\n**\ud83d\udca1 Suggested Fix**\n\nNo change needed for the decorator/injection pattern. The explicit `tls` passing at lines 138 and 142 is correct because these are direct Python method calls, not middleware dispatches.\n\n---\n*`Decorator Double-Injection Analysis` \u00b7 confidence 98%*", + "line": 138, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] No test covers the newly-enforced rejection path (passphrase root + key-encrypted child roots)**\n\nThe only integration test for `inherit_parent_encryption_properties` (`tests/api2/test_pool_dataset_encryption.py:404`) exercises the case where the parent's encryption root uses a **hex key** \u2014 so `parent_encrypted_root['key_format']['value'] == 'HEX'`. The guard evaluates to `False` in both old and new code, meaning this test provides **zero coverage** of the bug fix.\n\nThe case that was silently broken (passphrase-encrypted parent root + key-encrypted child encryption roots under `id_`) has never been tested. Now that the guard works correctly, there is a real behavioral difference: the operation **raises a `CallError`** instead of silently succeeding. Without a test for this path:\n\n1. There is no automated verification that the `CallError` message is correct.\n2. A future refactor could re-introduce the same type-comparison mistake and no test would catch it.\n3. The complementary allowed case \u2014 passphrase parent root, `id_` has *no* key-encrypted child roots \u2014 is also untested; verifying it proceeds successfully is equally important.\n\nThe guard itself (`any(d['name'] == d['encryption_root'] for d in self.middleware.call_sync('pool.dataset.query', [...]))`) is logically sound and the fix is correct, but the absence of test coverage for the enforced path is a gap worth closing.\n\n---\n\n> Only test reference: `tests/api2/test_pool_dataset_encryption.py:404`\n> ```python\n> def test_key_encrypted_dataset(self):\n> # parent uses HEX key\n> payload = {'name': dataset, 'encryption_options': {'key': dataset_token_hex}, ...}\n> call('pool.dataset.create', payload)\n> # child uses PASSPHRASE\n> payload.update({'name': child_dataset, 'encryption_options': {'passphrase': passphrase}})\n> call('pool.dataset.create', payload)\n> # parent_encrypted_root is the HEX-keyed parent -> guard evaluates False in both old and new code\n> call('pool.dataset.inherit_parent_encryption_properties', child_dataset)\n> ds = call('pool.dataset.get_instance', child_dataset)\n> assert ds['key_format']['value'] == 'HEX', ds\n> ```\n> No test exercises the path where `parent_encrypted_root['key_format']['value'] == 'PASSPHRASE'`.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a test case in `tests/api2/test_pool_dataset_encryption.py` that:\n1. Creates a passphrase-encrypted dataset `P` as an encryption root.\n2. Creates `P/K` as a key-encrypted encryption root (child of P).\n3. Creates `P/K/KC` as a second key-encrypted encryption root (grandchild).\n4. Calls `pool.dataset.inherit_parent_encryption_properties('P/K')` and asserts a `ClientException` / `CallError` is raised containing the expected message.\n5. Also tests the allowed sub-case: `P/K` with no key-encrypted child roots successfully inherits from the passphrase root.\n\n---\n*`Enum vs String Comparison Bug in Encryption Root Guard` \u00b7 confidence 95%*", + "line": 248, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "side": "RIGHT" + }, + { + "body": "\u26aa **[NITPICK] Original `tls`-injection concern is a false alarm: decorator order is correct and `tls` is never visible to the lock lambda**\n\nThe review prompt raised a concern that if `@pass_thread_local_storage` wraps the `@job`-decorated function, the lock lambda might see `(tls, name)` instead of `(name,)`.\n\nThis concern does **not** apply. Both decorators are pure markers:\n\n```python\n# decorators.py:153-166\ndef check_job(fn):\n fn._job = {'lock': lock, ...}\n return fn # fn is returned unchanged\n\n# decorators.py:221-222\nfn._pass_thread_local_storage = True\nreturn fn # fn is returned unchanged\n```\n\nNeither decorator wraps the function \u2014 they only set attributes. The `tls` object is injected at job run time in `job.py:620-621` inside `Job.__run_body`, well after `get_lock_name()` has already evaluated the lock lambda at queue time. The `Job` object is constructed with `params` (raw caller args), and that is what the lambda sees \u2014 never `tls`.\n\nThe actual decorator stacking requirement is documented in `api/base/decorator.py:53-59`: `@job` must be the innermost (bottommost) decorator, and the current ordering is correct.\n\n---\n\n> Step 1: `@pass_thread_local_storage` at `decorators.py:209-222` sets `fn._pass_thread_local_storage = True` and returns `fn` \u2014 no wrapping.\n> Step 2: `@job` at `decorators.py:153-166` sets `fn._job = {...}` and returns `fn` \u2014 no wrapping.\n> Step 3: `_call_prepare` at `main.py:880` constructs `Job(..., params, job_options, ...)` where `params` is the raw caller args \u2014 `tls` is NOT in this list.\n> Step 4: `tls` injection for jobs occurs in `job.py:620-621` inside `Job.__run_body`, which runs after the job has been queued and the lock key has already been computed.\n> Step 5: `get_lock_name` at `job.py:422` calls `lock_name(self.args)` where `self.args = params` \u2014 the lambda never sees `tls`.\n\n**\ud83d\udca1 Suggested Fix**\n\nNo code change needed for this specific concern. The decorator order is correct and `tls` is never present in the lock lambda's argument list.\n\n---\n*`Decorator Order and Lock Key Correctness` \u00b7 confidence 97%*", + "line": 158, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "side": "RIGHT" + } + ], + "event": "REQUEST_CHANGES" + }, + "review_id": "rev_07c8d4f2bf5a", + "summary": { + "adversary_challenged": 0, + "adversary_confirmed": 0, + "ai_generated_confidence": 0, + "budget_exhausted": true, + "by_severity": { + "critical": 2, + "important": 9, + "nitpick": 1, + "suggestion": 2 + }, + "cost_usd": 0, + "coverage_iterations": 0, + "cross_ref_interactions": 0, + "dimensions_run": 6, + "duration_seconds": 1808.733, + "total_findings": 14 + } + }, + "started_at": "2026-03-10T14:41:21Z", + "completed_at": "2026-03-10T15:11:32Z", + "duration_ms": 1811005, + "webhook_registered": false +} diff --git a/benchmark/truenas-middleware-18291/pr-af-result.json b/benchmark/truenas-middleware-18291/pr-af-result.json index 477a116..adcef99 100644 --- a/benchmark/truenas-middleware-18291/pr-af-result.json +++ b/benchmark/truenas-middleware-18291/pr-af-result.json @@ -1,632 +1,351 @@ { - "execution_id": "exec_20260310_070803_br5g04a4", - "run_id": "run_20260310_070803_eqyowmea", + "execution_id": "exec_20260310_144121_rkn7qq8x", + "run_id": "run_20260310_144121_ji0fblzy", "status": "succeeded", "result": { "findings": [ { "active_multipliers": [], - "body": "The `PoolCreateEncryptionOptions.pbkdf2iters` field has breaking changes that affect API compatibility:\n\n1. **Default value changed**: `350000` \u2192 `1300000`\n2. **Minimum value changed**: `100000` \u2192 `1300000`\n3. **Impact**: Any API call providing a pbkdf2iters value between 100000 and 1299999 will now fail validation with a `validation_error`.\n\nWhile a `from_previous` migration method was added, it only handles data migration from previous versions and does NOT help with new API calls. Clients that were previously providing values like 350000 (the old default) will now receive validation errors.\n\nThis affects:\n- `pool.create` calls with custom encryption_options\n- Any client code that hardcoded the old default or minimum values\n- Backward compatibility for scripts using the old iteration counts", - "confidence": 0.95, + "body": "`get_encrypted_datasets` returns a `list` of dataset dicts (each a `dict` with keys `'name'`, `'id'`, `'encryption_key'`, `'kmip_uid'`, etc.). The in-memory key cache is a `dict[str, bytes]` keyed by dataset name.\n\nAt line 94 (and identically at line 125), the filter expression `if k in existing_datasets` checks whether the **string** `k` (a dataset name) is a member of a **list of dicts**. Python's `in` operator for lists uses `==` equality \u2014 a string will never equal a dict, so this membership test is **always `False`** for every dataset name.\n\nAs a result, **`self.zfs_keys` is emptied to `{}` after every call to `push_zfs_keys` or `pull_zfs_keys`**, regardless of which datasets were actually processed. This defeats the entire purpose of the in-memory key cache: subsequent calls cannot reuse previously loaded keys, and the optimization at lines 64-69 and 107-111 (skipping KMIP retrieval when the key is already known and valid) will never trigger after the first sync.\n\nThe fix should use `{ds['name'] for ds in existing_datasets}` to build a set of names for the membership check.", + "confidence": 0.97, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "api_compatibility", - "dimension_name": "API v26_0_0 Breaking Changes Review", - "evidence": "v25_10_2: pbkdf2iters: int = Field(ge=100000, default=350000)\nv26_0_0: pbkdf2iters: int = Field(ge=1300000, default=1300000)\n\nThe from_previous method only handles migration:\n```python\n@classmethod\ndef from_previous(cls, value):\n value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n return value\n```", - "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", - "id": "f_020", - "line_end": 154, - "line_start": 139, - "score": 0.95, + "dimension_id": "decorator_injection", + "dimension_name": "Decorator Double-Injection Analysis", + "evidence": "Step 1: `get_encrypted_datasets` (lines 33-52) builds `rv` by appending `ds_in_db[i['name']]` \u2014 each element is a dict like `{'id': 1, 'name': 'pool/ds', 'encryption_key': ..., 'kmip_uid': ...}`.\nStep 2: `push_zfs_keys` line 59: `existing_datasets = self.get_encrypted_datasets(filters)` \u2192 list of dicts.\nStep 3: Line 94: `{k: v for k, v in self.zfs_keys.items() if k in existing_datasets}` \u2014 `k` is a string (e.g. `'pool/ds'`), `existing_datasets` is a list of dicts. Python evaluates `'pool/ds' == {'id': 1, 'name': 'pool/ds', ...}` \u2192 `False` for every element.\nStep 4: All items are filtered out. `self.zfs_keys` becomes `{}`.\nStep 5: Same logic applies identically at line 125 in `pull_zfs_keys`.\nStep 6: On the next call, lines 64-69 check `ds['name'] in self.zfs_keys` \u2192 always `False` \u2192 unnecessary KMIP round-trips for every dataset on every sync.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_001", + "line_end": 94, + "line_start": 94, + "score": 0.97, "severity": "critical", - "suggestion": "Option 1: Keep minimum at 100000 but change default to 1300000 for new pools:\n```python\npbkdf2iters: int = Field(ge=100000, default=1300000)\n```\n\nOption 2: Document this breaking change explicitly in API release notes and notify client developers.", + "suggestion": "Change both occurrences to build a name-set first:\n\n```python\n# Line 94 in push_zfs_keys:\nexisting_names = {ds['name'] for ds in existing_datasets}\nself.zfs_keys = {k: v for k, v in self.zfs_keys.items() if k in existing_names}\n\n# Line 125 in pull_zfs_keys:\nexisting_names = {ds['name'] for ds in existing_datasets}\nself.zfs_keys = {k: v for k, v in self.zfs_keys.items() if k in existing_names}\n```\n\nThis restores the intended behavior: evict cache entries for datasets that no longer exist, while preserving entries for datasets that do.", "tags": [ - "breaking-change", - "encryption", - "validation", - "pool-create" + "logic-error", + "cache", + "silent-data-loss", + "membership-check" ], - "title": "Breaking Change: pbkdf2iters minimum and default increased from 350000 to 1300000" + "title": "zfs_keys cache silently wiped on every push/pull: `k in existing_datasets` checks string in list-of-dicts" }, { "active_multipliers": [], - "body": "Same critical issue as PoolCreateEncryptionOptions: the `PoolDatasetChangeKeyOptions.pbkdf2iters` field has breaking changes:\n\n1. **Default changed**: `350000` \u2192 `1300000`\n2. **Minimum changed**: `100000` \u2192 `1300000`\n3. **Impact**: API calls to `pool.dataset.change_key` with pbkdf2iters values 100000-1299999 will fail validation.\n\nThis affects dataset key change operations and could break existing client code.", + "body": "The `datastore.update` API signature is `(table: str, id: int, data: dict)`. At line 157, the call is:\n\n```python\nawait self.middleware.call('datastore.update', 'storage.encrypteddataset', {'kmip_uid': None})\n```\n\nThis passes **only two positional arguments** after the method name: `table='storage.encrypteddataset'` and `id={'kmip_uid': None}`. The `data` dict argument is missing entirely. The middleware will either raise a `TypeError` due to wrong argument count/types, or silently misinterpret `{'kmip_uid': None}` as the row `id`, attempting to look up a row by dict identity \u2014 which will fail.\n\nThe intent (from surrounding context in `clear_sync_pending_zfs_keys`, lines 153-161) is clearly to update the specific dataset record `ds` to clear its `kmip_uid`. The missing argument is `ds['id']`.\n\nThis means `clear_sync_pending_zfs_keys` will **always raise an error** when processing any dataset whose `encryption_key` is set, leaving `kmip_uid` values un-cleared and the sync-pending state stale.", "confidence": 0.95, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "api_compatibility", - "dimension_name": "API v26_0_0 Breaking Changes Review", - "evidence": "v25_10_2: pbkdf2iters: int = Field(default=350000, ge=100000)\nv26_0_0: pbkdf2iters: int = Field(default=1300000, ge=1300000)", - "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", - "id": "f_024", - "line_end": 186, - "line_start": 170, + "dimension_id": "decorator_injection", + "dimension_name": "Decorator Double-Injection Analysis", + "evidence": "Step 1: `clear_sync_pending_zfs_keys` at lines 153-160 iterates over encrypted datasets with non-null `kmip_uid`.\nStep 2: For a dataset where `ds['encryption_key']` is truthy (line 156), it calls `datastore.update` at line 157.\nStep 3: The call is `('datastore.update', 'storage.encrypteddataset', {'kmip_uid': None})` \u2014 three args total, but `datastore.update` requires four: `(method, table, id, data)`.\nStep 4: Compare with correct usages at line 93: `self.middleware.call_sync('datastore.update', 'storage.encrypteddataset', ds['id'], update_data)` and line 121: same pattern with `ds['id']`.\nStep 5: The missing `ds['id']` means the dict `{'kmip_uid': None}` is passed as the `id` parameter \u2014 this will cause a runtime error in the datastore layer when it tries to use a dict as a row identifier.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_002", + "line_end": 157, + "line_start": 157, "score": 0.95, "severity": "critical", - "suggestion": "Keep minimum at 100000 for backward compatibility while using new default:\n```python\npbkdf2iters: int = Field(default=1300000, ge=100000)\n```", + "suggestion": "Add the missing `ds['id']` argument:\n\n```python\nawait self.middleware.call('datastore.update', 'storage.encrypteddataset', ds['id'], {'kmip_uid': None})\n```\n\nThis matches the pattern used elsewhere in the codebase (e.g., line 93 and line 121).", "tags": [ - "breaking-change", - "encryption", - "dataset", - "pbkdf2iters" + "runtime-error", + "wrong-arguments", + "data-integrity", + "typo" ], - "title": "Breaking Change: PoolDatasetChangeKeyOptions.pbkdf2iters minimum increased to 1300000" + "title": "Missing `id` argument in `datastore.update` call \u2014 wrong argument count, update never applied to correct row" }, { "active_multipliers": [], - "body": "The failover service's `unlock_zfs_datasets` method uses job lock `'failover_dataset_unlock'` (line 553), while the user-facing `pool.dataset.unlock` method uses lock `f'dataset_unlock_{args[0]}'` (dataset_encryption_lock.py:93). These different lock namespaces mean that during a failover event, the automatic unlock can run concurrently with a user-initiated unlock on the same dataset.\n\n**Impact**: This creates a race condition where:\n1. User initiates unlock on dataset 'tank/data'\n2. Failover event occurs, triggering `unlock_zfs_datasets('tank')`\n3. Both jobs run concurrently because they use different locks\n4. Both attempt to call `load_key()` on the same dataset\n5. One succeeds, the other fails with `ZFSKeyAlreadyLoadedException`\n6. The failed operation reports an error, potentially causing the failover to be marked as failed or the user operation to fail unexpectedly\n\n**Root cause**: The process pool previously provided implicit global serialization for all ZFS operations. With direct library calls, this serialization is lost and the job locks are inconsistent.", - "confidence": 0.95, + "body": "**The old comparison was provably always `False`.**\n\nIn the prior code (`bde8f1de3b`), the guard in `inherit_parent_encryption_properties_impl` read:\n\n```python\nif ZFSKeyFormat(parent_encrypted_root.key_format.value) == ZFSKeyFormat.PASSPHRASE.value:\n```\n\nThe left-hand side is `ZFSKeyFormat('PASSPHRASE')` \u2014 a `ZFSKeyFormat` enum *instance* \u2014 while the right-hand side is `ZFSKeyFormat.PASSPHRASE.value` \u2014 the raw string `'PASSPHRASE'`. Python's `==` for `Enum` instances does **not** fall back to comparing against the `.value`; an enum member only equals itself (or another member with the same identity), never a plain string. This was verified:\n\n```\nZFSKeyFormat('PASSPHRASE') == 'PASSPHRASE' # \u2192 False, always\n```\n\n**What the guard was supposed to do:** prevent a key-encrypted dataset (`id_`) that has its own key-encrypted child encryption roots from inheriting a passphrase-encrypted parent root. If such a dataset were allowed to inherit, its key-encrypted children would end up under a passphrase root, violating the invariant that passphrase roots cannot have key-encrypted encryption-root descendants.\n\n**Behavioral change introduced by the fix:** The new code uses:\n\n```python\nif parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:\n```\n\nThis is a string-to-string comparison (`'PASSPHRASE' == 'PASSPHRASE'`) that evaluates to `True` correctly. For the first time, the inner `any(...)` check that looks for key-encrypted child encryption roots is actually executed, and if any are found, a `CallError` is raised, preventing the operation.\n\n**Concrete scenario now blocked that was previously silently allowed:**\n\n1. Pool `tank` has dataset `tank/passroot` encrypted with a passphrase (encryption root).\n2. Under it, `tank/passroot/keyroot` is a key-encrypted encryption root (HEX format).\n3. Under `keyroot`, `tank/passroot/keyroot/keychild` is *also* a key-encrypted encryption root.\n4. A user calls `pool.dataset.inherit_parent_encryption_properties('tank/passroot/keyroot')`.\n5. **Old code:** guard fires `False`, inner check is skipped, `change_encryption_root` executes. `keyroot` now falls under `passroot`'s passphrase root, but `keychild` remains a separate key-encrypted root under a passphrase root \u2014 an explicitly forbidden structure.\n6. **New code:** guard fires `True`, inner `any()` detects `keychild`, raises `CallError` with a clear message. The operation is rejected.\n\n**Does any existing production workflow depend on the old no-op guard?** The only test exercising `inherit_parent_encryption_properties` (`test_key_encrypted_dataset` at line 404) uses a *hex-key* parent root, so `parent_encrypted_root['key_format']['value'] == 'HEX'`, and the guard evaluates to `False` in both old and new code. That test is unaffected. There is no test covering the now-enforced case (passphrase parent root + key-encrypted child roots), which is the exact gap described below.", + "confidence": 0.98, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "process-pool-removal-impact", - "dimension_name": "Process Pool Removal Impact on ZFS Encryption Operations", - "evidence": "File: failover.py:553 - `@job(lock='failover_dataset_unlock')` uses a global lock for all failover unlocks.\nFile: dataset_encryption_lock.py:93 - `@job(lock=lambda args: f'dataset_unlock_{args[0]}')` uses per-dataset lock.\nThese namespaces don't overlap, allowing concurrent unlock operations on the same dataset.", - "file_path": "src/middlewared/middlewared/plugins/failover.py", - "id": "f_038", - "line_end": 571, - "line_start": 553, - "score": 0.95, - "severity": "critical", - "suggestion": "Use the same lock namespace for failover unlock operations. Change the failover unlock job to use `lock=lambda args: f'dataset_unlock_{args[0]}'` to match the user unlock operation. This ensures that only one unlock operation can run on a dataset at a time, regardless of whether it's triggered by failover or user action.", + "dimension_id": "enum-comparison-guard", + "dimension_name": "Enum vs String Comparison Bug in Encryption Root Guard", + "evidence": "Step 1: Old code at `bde8f1de3b` line ~222: `if ZFSKeyFormat(parent_encrypted_root.key_format.value) == ZFSKeyFormat.PASSPHRASE.value:`\nStep 2: `parent_encrypted_root.key_format.value` is a string, e.g. `'PASSPHRASE'`.\nStep 3: `ZFSKeyFormat('PASSPHRASE')` constructs `ZFSKeyFormat.PASSPHRASE`, an enum instance.\nStep 4: `ZFSKeyFormat.PASSPHRASE == 'PASSPHRASE'` \u2192 `False` (Python Enum.__eq__ compares member identity, not value string).\nStep 5: The `if` body (the `any()` child-root check and potential `raise CallError`) is NEVER reached regardless of input.\nStep 6: `change_encryption_root` / `zfs.dataset.change_encryption_root` always executes even when the parent root is passphrase-encrypted and the dataset has key-encrypted child roots.\nVerification: `python3 -c \"from enum import Enum; class E(Enum): P='PASSPHRASE'; print(E('PASSPHRASE') == 'PASSPHRASE')\"` prints `False`.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_003", + "line_end": 261, + "line_start": 248, + "score": 0.686, + "severity": "important", + "suggestion": "The fix is correct. The only follow-up needed is a regression test for the newly-enforced path: create a passphrase-encrypted root, a key-encrypted encryption root beneath it, and a second key-encrypted encryption root as a child of that \u2014 then assert that `inherit_parent_encryption_properties` on the middle dataset raises a `CallError`. This ensures the guard remains correct if the code is refactored again.", "tags": [ - "race-condition", - "failover", + "logic-error", + "enum-comparison", + "security", "encryption", - "lock-namespace", - "process-pool" - ], - "title": "Failover unlock uses different lock namespace than user unlock - allows concurrent operations on same dataset" - }, - { - "active_multipliers": [], - "body": "The `PoolCreateTopologySpecialVdev` type has changed from a restricted model to an alias that includes DRAID types.\n\n**Old definition** (v25_10_2):\n```python\nclass PoolCreateTopologySpecialVdev(BaseModel):\n type: Literal[\"MIRROR\", \"STRIPE\"]\n disks: list[str]\n```\n\n**New definition** (v26_0_0):\n```python\nPoolCreateTopologySpecialVdev: TypeAlias = PoolCreateTopologyDataVdev\n# Which is: Annotated[PoolCreateTopologyVdevDRAID | PoolCreateTopologyVdevNonDRAID, ...]\n```\n\n**Impact**: This allows DRAID1/DRAID2/DRAID3 types in special vdevs, which may not be supported by the underlying ZFS implementation or could cause issues with pool creation. This is a significant behavioral change that affects `pool.create` and `pool.update` endpoints.", - "confidence": 0.9, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "api_compatibility", - "dimension_name": "API v26_0_0 Breaking Changes Review", - "evidence": "v25_10_2: class PoolCreateTopologySpecialVdev with type: Literal[\"MIRROR\", \"STRIPE\"]\nv26_0_0: PoolCreateTopologySpecialVdev: TypeAlias = PoolCreateTopologyDataVdev", - "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", - "id": "f_022", - "line_end": 182, - "line_start": 180, - "score": 0.9, - "severity": "critical", - "suggestion": "Restore the original restricted type definition for special vdevs unless DRAID support in special vdevs is intentional and tested:\n```python\nclass PoolCreateTopologySpecialVdev(BaseModel):\n type: Literal[\"MIRROR\", \"STRIPE\"]\n disks: list[str]\n```", - "tags": [ - "breaking-change", - "topology", - "special-vdev", - "draid" - ], - "title": "Breaking Change: PoolCreateTopologySpecialVdev now allows DRAID types" - }, - { - "active_multipliers": [], - "body": "The **PoolScan** model in v26_0_0 defines all fields as non-nullable (except `end_time`, `pause`, and `total_secs_left`), but the **v25_10_2** dict example shows all fields can be `None`.\n\n**Old contract (v25_10_2/pool.py:66-81):**\n```python\nscan: Annotated[\n dict,\n Field(examples=[{\n 'function': None, # Nullable\n 'state': None, # Nullable\n 'start_time': None, # Nullable\n 'end_time': None,\n 'percentage': None, # Nullable\n 'bytes_to_process': None, # Nullable\n 'bytes_processed': None, # Nullable\n 'bytes_issued': None, # Nullable\n 'pause': None,\n 'errors': None, # Nullable\n 'total_secs_left': None,\n }])\n] | None\n```\n\n**New model (v26_0_0/pool_scrub.py:108-130):**\n```python\nclass PoolScan(BaseModel):\n function: Literal[\"RESILVER\", \"SCRUB\"] # Required, non-nullable\n state: Literal[\"SCANNING\", \"FINISHED\", \"CANCELED\"] # Required\n start_time: datetime # Required\n percentage: float # Required\n bytes_to_process: int # Required\n bytes_processed: int # Required\n bytes_issued: int # Required\n errors: int # Required\n```\n\n**Why this is critical:**\nWhen the ZFS pool has no active scan, the middleware returns a `None` or empty scan object. However, the new PoolScan model doesn't allow `None` values for `function`, `state`, `start_time`, `percentage`, `bytes_to_process`, `bytes_processed`, `bytes_issued`, or `errors`. This will cause **Pydantic validation errors** when the API attempts to serialize pool data with a scan that hasn't started yet or where ZFS returns null values.", - "confidence": 0.9, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "1", - "dimension_name": "API Compatibility - PoolScan Model", - "evidence": "Step 1: Old scan field at v25_10_2/pool.py:66-81 defines all values as None in example.\nStep 2: New PoolScan at v26_0_0/pool_scrub.py:108-130 defines most fields as required non-nullable types.\nStep 3: PoolScanChangedEvent at line 133-137 uses PoolScan type for 'scan' field.\nStep 4: When ZFS returns a pool with no active scan operation, the scan data will have null values for most fields, causing Pydantic validation to fail.", - "file_path": "/workspaces/middleware/src/middlewared/middlewared/api/v26_0_0/pool_scrub.py", - "id": "f_037", - "line_end": 130, - "line_start": 108, - "score": 0.9, - "severity": "critical", - "suggestion": "Add `| None` union types to all fields that were nullable in the old example. Consider whether the entire PoolScan model should be nullable when passed to PoolScanChangedEvent, or if individual fields need to support null:\n\n```python\nclass PoolScan(BaseModel):\n function: Literal[\"RESILVER\", \"SCRUB\"] | None\n state: Literal[\"SCANNING\", \"FINISHED\", \"CANCELED\"] | None\n start_time: datetime | None\n end_time: datetime | None\n percentage: float | None\n bytes_to_process: int | None\n bytes_processed: int | None\n bytes_issued: int | None\n pause: datetime | None\n errors: int | None\n total_secs_left: int | None\n```", - "tags": [ - "api-compatibility", - "pydantic-validation", - "breaking-change" + "guard-bypassed" ], - "title": "PoolScan model lacks None/null support for required fields" + "title": "Old guard was always False: key-encrypted child under passphrase-root inheritance was never blocked" }, { "active_multipliers": [], - "body": "The code at lines 223-228 uses a direct comparison pattern `e.code == ZFSError.EZFS_CRYPTOFAILED` which is inconsistent with other files in the codebase. Most other files use `ZFSError(e.code) == ZFSError.EZFS_*` to convert the integer code to an enum before comparison.\n\nIf `e.code` returns an integer and `ZFSError.EZFS_CRYPTOFAILED` is an enum member (not an IntEnum), this comparison will always return `False` even when the error code matches, causing the error handling logic to silently fail. The invalid key error will not be properly detected, and users will see generic error messages instead of 'Invalid Key'.\n\n**Inconsistent patterns found:**\n- `dataset_encryption_lock.py:224` uses: `e.code == ZFSError.EZFS_CRYPTOFAILED` (DIRECT)\n- `pool_operations.py:124` uses: `e.code == ZFSError.EZFS_NOENT` (DIRECT)\n- `pool_/info.py:111,168` uses: `e.code == ZFSError.EZFS_NOENT` (DIRECT)\n- `pool_/dataset.py:398` uses: `e.code == ZFSError.EZFS_EXISTS` (DIRECT)\n- `dataset_encryption_info.py:265,279` uses: `ZFSError(e.code) == ZFSError.EZFS_*` (CONVERT)\n- `zfs/query_impl.py:75` uses: `ZFSError(e.code) == ZFSError.EZFS_NOENT` (CONVERT)\n- `zfs/snapshot_*.py` files use: `ZFSError(e.code)` pattern (CONVERT)", - "confidence": 0.85, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "error-code-mapping", - "dimension_name": "ZFSError Enum Mapping Verification", - "evidence": "Code in dataset_encryption_lock.py:223-228:\n```python\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n failed[name]['error'] = 'Invalid Key'\n else:\n failed[name]['error'] = str(e)\n```\n\nContrast with dataset_encryption_info.py:265:\n```python\nexcept ZFSException as e:\n if ZFSError(e.code) != ZFSError.EZFS_NOENT:\n raise\n```", - "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", - "id": "f_034", - "line_end": 228, - "line_start": 223, - "score": 0.85, - "severity": "critical", - "suggestion": "Standardize on the pattern `ZFSError(e.code) == ZFSError.EZFS_CRYPTOFAILED` for consistency and safety. This explicitly converts the integer code to an enum before comparison, ensuring correct behavior regardless of whether ZFSError is an IntEnum or a regular Enum. Alternatively, verify that truenas_pylibzfs.ZFSError is an IntEnum (which supports direct integer comparison), and if so, standardize on direct comparison for readability - but only if it's confirmed to be an IntEnum.", - "tags": [ - "error-handling", - "enum-comparison", - "silent-failure", - "inconsistency" - ], - "title": "Inconsistent ZFSError comparison pattern may cause silent error handling failure" - }, - { - "active_multipliers": [ - "cross_ref_compound", - "adversary_challenged" - ], - "body": "The `push_zfs_keys` method contains a Time-of-Check-Time-of-Use (TOCTOU) race condition in the cache validation logic. At lines 66-67, the code checks `ds['name'] in self.zfs_keys` and then immediately uses `self.zfs_keys[ds['name']]` in the `check_key()` call. Between these two operations, another thread could modify or delete the cache entry via `reset_zfs_key()`, `update_zfs_keys()`, or `clear_sync_pending_zfs_keys()`. With faster direct library calls, this race window is smaller but still exploitable under concurrent load. Additionally, at line 78, the cache is updated with `self.zfs_keys[ds['name']] = ds['encryption_key']` BEFORE the database is updated at line 93. If the `_register_secret_data()` call at line 86 fails, the cache holds a key that was never successfully registered with the KMIP server, leading to cache/database inconsistency.", + "body": "The bare `except Exception as e` branch on line 229 catches `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` (both plain `Exception` subclasses from `zfs/exceptions.py`) and converts them to `failed[name]['error'] = str(e)` \u2014 a raw string embedded in the return value dict.\n\nThis is a contract violation because:\n1. These exceptions are **pre-condition guards** (dataset not encrypted, or key already loaded) that signal programmer/caller errors, not transient ZFS crypto failures. Treating them identically to \"Invalid Key\" hides the actual cause.\n2. The `unlock` API method's structured return `{'unlocked': [...], 'failed': {...}}` will surface these as opaque string errors (e.g. `\"'pool/ds' key is already loaded\"`) with no errno or structured error code, making it impossible for callers to distinguish pre-condition failures from crypto failures.\n3. The old code path (before `load_key` was extracted to `zfs/encryption.py`) presumably raised `CallError` directly \u2014 the refactoring broke this by introducing new exception types without updating the catch sites.\n\nSpecifically:\n- `ZFSKeyAlreadyLoadedException` raised at `encryption.py:33` falls into `except Exception` at `dataset_encryption_lock.py:229`\n- `ZFSNotEncryptedException` raised at `encryption.py:31` similarly falls into `except Exception` at `dataset_encryption_lock.py:229`\n\nNeither is ever re-raised as a `CallError`.", "confidence": 0.95, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "kmip-cache-race-conditions", - "dimension_name": "KMIP Key Cache Race Conditions", - "evidence": "Step 1: Thread A checks `ds['name'] in self.zfs_keys` at line 66 (returns True).\nStep 2: Thread B calls `reset_zfs_key(dataset=ds['name'])` which executes `self.zfs_keys.pop(dataset, None)` at line 186.\nStep 3: Thread A attempts `check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])` at line 67.\nStep 4: KeyError is raised because Thread B removed the entry, OR a stale key is validated that no longer matches the KMIP server state.", - "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", - "id": "f_000", - "line_end": 78, - "line_start": 66, - "score": 0.712, - "severity": "critical", - "suggestion": "Use a threading.Lock to protect all `self.zfs_keys` access. For the compound check-then-use pattern, lock the entire block. Additionally, defer cache updates until after successful KMIP operations and database persistence - only update the cache after line 93 confirms the database update succeeded.", - "tags": [ - "race-condition", - "cache-consistency", - "thread-safety", - "TOCTOU" - ], - "title": "TOCTOU Race Condition in push_zfs_keys Cache Access" - }, - { - "active_multipliers": [ - "cross_ref_compound", - "adversary_challenged" - ], - "body": "The `pull_zfs_keys` method has the same TOCTOU pattern as `push_zfs_keys`. At lines 108-109, the code checks membership in `self.zfs_keys` and then validates the key with `check_key()`. However, at line 111, it retrieves `self.zfs_keys[ds['name']]` again. Between the validation at line 109 and the retrieval at line 111, another thread could modify the cache entry. This means the key being assigned to the `key` variable might differ from the key that was validated, potentially assigning an incorrect or stale key to the database update at line 120.", - "confidence": 0.95, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "kmip-cache-race-conditions", - "dimension_name": "KMIP Key Cache Race Conditions", - "evidence": "Step 1: Thread A validates `check_key(tls, ds['name'], key=self.zfs_keys[ds['name'])` at line 109 (returns True).\nStep 2: Thread B calls `push_zfs_keys()` which updates `self.zfs_keys[ds['name']]` at line 78 with a different key value.\nStep 3: Thread A executes `key = self.zfs_keys[ds['name']]` at line 111, retrieving the NEW key that was NOT validated.\nStep 4: Database is updated with unvalidated key at line 120, potentially corrupting encryption state.", - "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", - "id": "f_001", - "line_end": 111, - "line_start": 108, - "score": 0.712, - "severity": "critical", - "suggestion": "Store the validated key in a local variable immediately after validation to ensure consistency. Use pattern: `cached_key = self.zfs_keys.get(ds['name']); if cached_key and check_key(tls, ds['name'], key=cached_key): key = cached_key`. Protect all cache access with a threading.Lock.", - "tags": [ - "race-condition", - "cache-consistency", - "thread-safety", - "TOCTOU" - ], - "title": "TOCTOU Race Condition in pull_zfs_keys Cache Access" - }, - { - "active_multipliers": [], - "body": "The `load_key()` function in `encryption.py` raises custom exceptions `ZFSKeyAlreadyLoadedException` (line 33) and `ZFSNotEncryptedException` (line 31) which are plain Python `Exception` subclasses, NOT `truenas_pylibzfs.ZFSException`.\n\n**The problem:** In `dataset_encryption_lock.py:221-231`, the code specifically catches `ZFSException` to handle crypto failures. However, the new custom exceptions will NOT match this handler and fall through to the generic `except Exception` handler at line 229.\n\n**Impact:**\n- `ZFSKeyAlreadyLoadedException`: May indicate a race condition or partial success, but is treated as a generic failure\n- `ZFSNotEncryptedException`: Indicates the dataset is not encrypted (configuration error), but gets recorded as a generic error string without context", - "confidence": 0.9, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "exception-handling", - "dimension_name": "Exception Type Changes", - "evidence": "Step 1: `load_key()` is called at line 222.\nStep 2: If key already loaded, `encryption.py:33` raises `ZFSKeyAlreadyLoadedException` (plain Exception subclass).\nStep 3: The exception does NOT match `ZFSException` at line 223.\nStep 4: It falls to line 229 `except Exception as e`, recording `failed[name]['error'] = str(e)`.\nStep 5: The error is treated as a failure even though the key is actually already loaded.", - "file_path": "/workspaces/middleware/src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", - "id": "f_016", + "dimension_id": "exception-handling-contract", + "dimension_name": "Exception Handling Contract", + "evidence": "Step 1: `unlock` calls `load_key(tls, name, key=datasets[name]['key'])` at line 222.\nStep 2: `load_key` in `zfs/encryption.py:31` calls `rsrc.crypto()`, and if it returns `None`, raises `ZFSNotEncryptedException(dataset)` \u2014 a subclass of plain `Exception` (confirmed at `exceptions.py:20`).\nStep 3: `load_key` at `encryption.py:33` raises `ZFSKeyAlreadyLoadedException(dataset)` if `crypto.info().key_is_loaded` is True \u2014 also a plain `Exception` subclass (`exceptions.py:14`).\nStep 4: Neither exception is a `ZFSException` subclass (imported from `truenas_pylibzfs`), so the `except ZFSException as e` block at line 223 does NOT catch them.\nStep 5: They fall through to `except Exception as e` at line 229, where `failed[name]['error'] = str(e)` stores the message string `\"'pool/ds' key is already loaded\"` or `\"'pool/ds' is not encrypted\"` \u2014 no `CallError`, no errno.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "id": "f_005", "line_end": 231, - "line_start": 221, - "score": 0.63, + "line_start": 229, + "score": 0.665, "severity": "important", - "suggestion": "Import and handle the new exception types explicitly:\n1. Import `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` from `middlewared.plugins.zfs.exceptions`\n2. Add specific handlers before the generic Exception handler:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n\ntry:\n load_key(tls, name, key=datasets[name]['key'])\nexcept ZFSKeyAlreadyLoadedException:\n # Key already loaded - treat as success or log informational message\n unlocked.append(name)\n continue\nexcept ZFSNotEncryptedException:\n failed[name]['error'] = 'Dataset is not encrypted'\n continue\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n failed[name]['error'] = 'Invalid Key'\n else:\n failed[name]['error'] = str(e)\n continue\nexcept Exception as e:\n failed[name]['error'] = str(e)\n continue\n```", + "suggestion": "Either (a) make `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` inherit from `CallError` (with appropriate `errno` values such as `errno.ENOTSUP` for not-encrypted and `errno.EEXIST` for already-loaded), OR (b) add an explicit catch before the bare `except Exception` block:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n\ntry:\n load_key(tls, name, key=datasets[name]['key'])\nexcept ZFSKeyAlreadyLoadedException:\n # Key already loaded means dataset is effectively unlocked; treat as success or specific error\n failed[name]['error'] = 'Key is already loaded'\n continue\nexcept ZFSNotEncryptedException:\n failed[name]['error'] = 'Dataset is not encrypted'\n continue\nexcept ZFSException as e:\n ...\nexcept Exception as e:\n failed[name]['error'] = str(e)\n continue\n```\nOption (a) is cleaner and ensures these exceptions carry structured error information everywhere they propagate.", "tags": [ "exception-handling", - "race-condition", - "api-contract" + "api-contract", + "error-propagation" ], - "title": "ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException not caught by existing handlers" + "title": "ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException silently swallowed as string errors instead of structured CallError" }, { "active_multipliers": [], - "body": "The `scan` field in `PoolEntry` changed from an `Annotated[dict, ...]` type to `PoolScan | None`. This is a significant schema change that affects the API response format.\n\n**Old format**: Generic dict with example fields like `function`, `state`, `start_time`, etc.\n**New format**: Strongly-typed `PoolScan` model imported from `.pool_scrub`\n\n**Impact**:\n- Clients expecting the old dict structure may break when parsing responses\n- The response serialization will now use the `PoolScan` model structure\n- This affects all endpoints returning `PoolEntry` (pool.create, pool.update, pool.query, etc.)\n\n**Risk**: This is a response format change that could break client-side parsing, especially for strongly-typed clients.", - "confidence": 0.9, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "api_compatibility", - "dimension_name": "API v26_0_0 Breaking Changes Review", - "evidence": "v25_10_2: scan: Annotated[dict, Field(examples=[{...}])] | None\nv26_0_0: scan: PoolScan | None\n\nImport added: from .pool_scrub import PoolScan", - "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", - "id": "f_021", - "line_end": 72, - "line_start": 55, - "score": 0.63, - "severity": "important", - "suggestion": "Verify that PoolScan model matches the expected dict structure from v25_10_2. Consider adding backward compatibility by supporting both formats or ensuring PoolScan serializes to the same JSON structure.", - "tags": [ - "response-format", - "pool-entry", - "scan", - "schema-change" - ], - "title": "PoolEntry.scan type changed from dict to PoolScan model" - }, - { - "active_multipliers": [], - "body": "The `load_key()` function in `encryption.py` has a classic Time-Of-Check-Time-Of-Use (TOCTOU) race condition. It first checks if the key is already loaded (line 32), then loads it (line 34). These are two separate operations, not atomic.\n\n**Race scenario**:\n1. Thread A calls `load_key('tank/data')`\n2. Thread A checks `crypto.info().key_is_loaded` \u2192 returns False\n3. Context switch to Thread B\n4. Thread B calls `load_key('tank/data')`\n5. Thread B checks `crypto.info().key_is_loaded` \u2192 returns False\n6. Thread B calls `crypto.load_key()` \u2192 succeeds\n7. Context switch back to Thread A\n8. Thread A calls `crypto.load_key()` \u2192 may fail or behave unexpectedly\n\n**Process pool context**: When using the process pool, only one operation could run at a time, preventing this race. With direct library calls and `@pass_thread_local_storage`, multiple threads can execute this code concurrently.\n\n**Impact**: The second load_key call will raise `ZFSKeyAlreadyLoadedException`. While this prevents data corruption, it causes unnecessary failures that didn't occur with the process pool's implicit serialization.", - "confidence": 0.9, + "body": "**`from_previous` is invoked exclusively on incoming write operations (argument upgrade), never on reads (API responses).**\n\nThe `APIVersionsAdapter` in `legacy_api_method.py` upgrades incoming parameters from an older API version to the current version via `_adapt_params`, which calls `adapter.adapt(params_dict, model_name, self.api_version, self.adapter.current_version)`. Because `version1_index < version2_index` the direction resolves to `Direction.UPGRADE`, triggering `new_model.from_previous(value)` at `version.py:233`.\n\nConversely, `_dump_result` adapts the **result** from `current_version` back to `api_version` (downgrade direction), which calls `to_previous`. Neither `PoolDatasetChangeKeyOptions` nor `PoolCreateEncryptionOptions` define `to_previous`, so outgoing responses are never touched.\n\n**Practical impact:** An automation client or script pinned to API v25.x that deliberately submits `pbkdf2iters=350000` (valid under `ge=100000` in v25.10.x) will have that value silently overwritten to `1300000` by `from_previous` before the `change_key` handler executes. The caller receives `{\"result\": null}` \u2014 the standard success response for `PoolDatasetChangeKeyResult` \u2014 with no indication that a different iteration count was actually applied to ZFS.\n\nNote: `pbkdf2iters` is only forwarded to the ZFS layer when `passphrase_key_format=True` (plugin line 114), so this affects only passphrase-encrypted datasets. For raw-hex keyed datasets `pbkdf2iters` is excluded from `opts` entirely and no iteration count is stored.", + "confidence": 0.95, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "process-pool-removal-impact", - "dimension_name": "Process Pool Removal Impact on ZFS Encryption Operations", - "evidence": "File: encryption.py:32-34 - The check `if crypto.info().key_is_loaded:` and `crypto.load_key(**kwargs)` are separate non-atomic operations.\nFile: dataset_encryption_lock.py:221-222 - `load_key(tls, name, key=datasets[name]['key'])` is called in a loop without dataset-level locking.", - "file_path": "src/middlewared/middlewared/plugins/zfs/encryption.py", - "id": "f_039", - "line_end": 34, - "line_start": 14, - "score": 0.63, + "dimension_id": "pbkdf2iters-migration-behavior", + "dimension_name": "PBKDF2 Iteration Count Silent Migration", + "evidence": "Step 1: Client on API v25.10.2 calls `pool.dataset.change_key` with `options={\"pbkdf2iters\": 350000, \"passphrase\": \"mypass\"}`. Old model allows this: `pbkdf2iters: int = Field(default=350000, ge=100000)` (v25_10_2/pool_dataset.py:175).\nStep 2: `LegacyAPIMethod.call()` (legacy_api_method.py:60) calls `_adapt_params()` \u2192 `adapter.adapt(params_dict, 'PoolDatasetChangeKeyArgs', 'v25.10.2', 'v26.0.0')`.\nStep 3: `adapt_model` computes `version1_index < version2_index` \u2192 `direction = Direction.UPGRADE`.\nStep 4: `_adapt_value` on `PoolDatasetChangeKeyArgs` calls `_adapt_nested_value` on the `options` field because both versions define a model named `PoolDatasetChangeKeyOptions`; this triggers a recursive `_adapt_value` call.\nStep 5: At the end of the nested `_adapt_value`, line 233 of version.py: `value = new_model.from_previous(value)` where `new_model` is v26_0_0's `PoolDatasetChangeKeyOptions`.\nStep 6: `from_previous` (pool_dataset.py:185) executes `value['pbkdf2iters'] = max(1300000, 350000)` \u2192 `1300000`.\nStep 7: `change_key` plugin receives `options['pbkdf2iters'] == 1300000`, passes it to `validate_encryption_data` (line 191), which includes it in `opts` because `passphrase_key_format=True` (line 114).\nStep 8: `zfs/encryption.py::change_key()` permanently stores `pbkdf2iters=1300000` in the dataset's ZFS config.\nStep 9: `_dump_result` downgrades `{\"result\": null}` \u2014 no clamping info is surfaced.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "id": "f_011", + "line_end": 186, + "line_start": 183, + "score": 0.665, "severity": "important", - "suggestion": "Option 1: Remove the pre-check and handle 'already loaded' as a non-error case (idempotent behavior).\nOption 2: Add a synchronization primitive (threading.Lock) per dataset to serialize load_key operations on the same dataset.\nOption 3: Rely on higher-level locks (job locks) but ensure they cover all code paths consistently.", + "suggestion": "At minimum, emit a job log warning when `pbkdf2iters` is clamped upward. A job-status message such as `job.set_progress(0, f'Note: pbkdf2iters elevated from submitted value to {options[\"pbkdf2iters\"]}')` would make the override visible to operators. Longer-term, consider returning the effective `pbkdf2iters` in the result payload or adding a `to_previous` on the result model so legacy clients can detect the discrepancy.", "tags": [ - "race-condition", - "toctou", + "api-versioning", + "silent-migration", "encryption", - "load-key", - "process-pool" + "pbkdf2" ], - "title": "TOCTOU race condition in load_key() - key check and load are not atomic" + "title": "from_previous fires on write only; legacy API callers have pbkdf2iters silently upgraded to 1,300,000 without any notification" }, { "active_multipliers": [], - "body": "The `PoolCreate.name` field changed from `POOL_NAME` (with whitespace validation) to `NonEmptyString` (no whitespace validation).\n\n**Old validation**:\n- No whitespace characters allowed (regex: `^\\S+$`)\n- Maximum length: 50 characters\n\n**New validation**:\n- Only non-empty string check\n- No whitespace restriction\n- No explicit length limit\n\n**Impact**:\n- API now accepts pool names with whitespace that were previously rejected\n- Pool names >50 chars are now accepted\n- This affects `pool.create` and `pool.import_pool` endpoints\n\n**Note**: The comment mentions \"Incus cannot consume a pool which has whitespaces\" but this validation was removed.", - "confidence": 0.85, + "body": "The `lock` lambda on `sync_db_keys` uses `args` (the entire raw-arguments list) rather than `args[0]` (the first positional argument, `name`):\n\n```python\n@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')\ndef sync_db_keys(self, job, tls, name=None):\n```\n\nThe `@job` and `@pass_thread_local_storage` decorators are both **pure marker decorators** \u2014 they stamp attributes on the function and return it unchanged. `Job.__init__` stores the raw caller-supplied `params` list as `self.args`, and the lock lambda is evaluated with that list before the job is queued (in `JobsQueue.handle_lock` \u2192 `Job.get_lock_name`). The `tls` object is injected at run time in `Job.__run_body`, well after lock computation, so `tls` is **not** visible to the lambda.\n\nThe real problem is that `name` has a default of `None`. This means:\n\n| Call site | `self.args` passed to lambda | Resulting lock key |\n|---|---|---|\n| Periodic scheduler (no args) | `[]` | `sync_encrypted_pool_dataset_keys_[]` |\n| `call_sync('pool.dataset.sync_db_keys', 'tank')` | `['tank']` | `sync_encrypted_pool_dataset_keys_['tank']` |\n| `call_sync('pool.dataset.sync_db_keys', None)` | `[None]` | `sync_encrypted_pool_dataset_keys_[None]` |\n\nThe periodic invocation produces the key `sync_encrypted_pool_dataset_keys_[]` while an explicit `sync_db_keys(None)` produces `sync_encrypted_pool_dataset_keys_[None]` \u2014 these are **different lock keys**, so the two calls do NOT share a lock and can run concurrently. This defeats the purpose of the lock for the all-datasets sync case.\n\nBy contrast, the `encryption_summary` lock lambda on the same class correctly uses `args[0]`:\n```python\n@job(lock=lambda args: f'encryption_summary_options_{args[0]}', ...)\n```\n\nAdditionally, the lock key includes Python list-repr brackets (e.g., `['tank']`) rather than a clean string like `tank`, making the key non-human-readable and fragile if calling conventions change.", + "confidence": 0.92, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "api_compatibility", - "dimension_name": "API v26_0_0 Breaking Changes Review", - "evidence": "v25_10_2: name: POOL_NAME # With AfterValidator(match_validator(re.compile(r\"^\\S+$\"), ...))\nv26_0_0: name: NonEmptyString # No whitespace validation", - "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", - "id": "f_023", - "line_end": 221, - "line_start": 220, - "score": 0.595, + "dimension_id": "decorator-order-lock-key", + "dimension_name": "Decorator Order and Lock Key Correctness", + "evidence": "Step 1: `sync_db_keys` is decorated with `@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')` at line 161.\nStep 2: `@job` is a pure marker decorator (`decorators.py:153-166`) \u2014 it sets `fn._job = {'lock': lock, ...}` and returns `fn` unchanged.\nStep 3: `_call_prepare` in `main.py:880` constructs `Job(self, name, serviceobj, methodobj, params, ...)` where `params` is the raw caller-supplied arguments list.\nStep 4: `Job.__init__` at `job.py:333` stores `self.args = args` (the `params` parameter passed in).\nStep 5: `JobsQueue.add` at `job.py:149` calls `self.handle_lock(job)`, which calls `job.get_lock_name()` at `job.py:422`: `lock_name = lock_name(self.args)` \u2014 so the lambda receives the raw `params` list.\nStep 6: Periodic scheduler calls `sync_db_keys` with zero user arguments \u2192 `params = []` \u2192 lambda receives `[]` \u2192 lock key is `sync_encrypted_pool_dataset_keys_[]`.\nStep 7: Explicit `call_sync('pool.dataset.sync_db_keys', None)` \u2192 `params = [None]` \u2192 lambda receives `[None]` \u2192 lock key is `sync_encrypted_pool_dataset_keys_[None]`.\nStep 8: Keys differ \u2192 neither invocation blocks the other \u2192 two full-dataset syncs can run concurrently.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "id": "f_009", + "line_end": 162, + "line_start": 161, + "score": 0.644, "severity": "important", - "suggestion": "If whitespace restriction is still needed for Incus compatibility, restore the POOL_NAME type alias. If Incus now supports whitespace, remove the FIXME comment in the code.", + "suggestion": "Change the lambda to extract only the first argument and normalize `None` to an empty string, mirroring the pattern used by `encryption_summary`:\n\n```python\n@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args[0] if args else \"\"}')\n```\n\nThis ensures:\n- A periodic call (no args) and an explicit `call(..., None)` both produce the same lock key: `sync_encrypted_pool_dataset_keys_None`\n- A call with a specific pool name produces `sync_encrypted_pool_dataset_keys_tank`\n- The key no longer contains list brackets", "tags": [ - "validation", - "pool-name", - "whitespace", - "incus" + "locking", + "concurrency", + "decorator-order", + "correctness" ], - "title": "Pool name validation relaxed: removed whitespace restriction" + "title": "`sync_db_keys` lock lambda embeds the full args list, causing inconsistent lock keys between periodic and explicit calls" }, { "active_multipliers": [], - "body": "The `lock` operation uses a global lock `'dataset_lock'` (line 32), while the `unlock` operation uses per-dataset lock `f'dataset_unlock_{args[0]}'` (line 93). This creates a lock namespace mismatch:\n\n- Lock uses: `'dataset_lock'` (global - all lock operations serialize)\n- Unlock uses: `'dataset_unlock_tank/data'` (per-dataset)\n\n**Race scenario**:\n1. User calls `pool.dataset.lock('tank/data')` - acquires `'dataset_lock'`\n2. Concurrently, user calls `pool.dataset.unlock('tank/data')` - acquires `'dataset_unlock_tank/data'`\n3. Both operations run concurrently because they use different locks\n4. Both attempt to modify the encryption state of 'tank/data'\n\n**Expected behavior**: Lock and unlock on the same dataset should be mutually exclusive.\n**Actual behavior**: Lock and unlock can run concurrently on the same dataset.\n\n**Process pool context**: The process pool previously serialized ALL ZFS operations, preventing this race. With direct calls, this implicit serialization is lost.", - "confidence": 0.85, + "body": "**Existing datasets with `pbkdf2iters` between 100,000 and 1,299,999 will have their iteration count permanently changed to 1,300,000 on the next `change_key` call, regardless of whether the user explicitly requested this change.**\n\nThere are two distinct triggers:\n\n1. **Legacy API client omits `pbkdf2iters`:** The v25.10.x default was 350,000. When a v25.x client calls `change_key` without specifying `pbkdf2iters`, `_adapt_value` fills in the missing field using the **v26.0.0 new default** of `1300000` (version.py:226: `value[key_to_use] = field_info.get_default(call_default_factory=True)`). `from_previous` then sees `max(1300000, 1300000)` which is a no-op \u2014 but the applied value is the new default, not what the user would have expected from their v25.x context.\n\n2. **Legacy API client explicitly submits `pbkdf2iters=350000`:** `from_previous` clamps it to 1,300,000 as described in the companion finding.\n\nIn both cases, `change_key` permanently alters the ZFS dataset property `pbkdf2iters`. Once a dataset is re-keyed at 1,300,000 iterations, every subsequent passphrase-unlock of that dataset (at boot, during HA failover, or via `pool.dataset.unlock`) will run PBKDF2 with 1,300,000 iterations. The user never saw a prompt asking to confirm this change, and the API response `{\"result\": null}` provides no visibility into what iteration count was applied.\n\n**Scope:** Only passphrase-encrypted datasets are affected (line 114 of `dataset_encryption_operations.py` guards `pbkdf2iters` inclusion on `passphrase_key_format=True`). Raw-hex keyed datasets are not affected.", + "confidence": 0.92, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "process-pool-removal-impact", - "dimension_name": "Process Pool Removal Impact on ZFS Encryption Operations", - "evidence": "File: dataset_encryption_lock.py:32 - `@job(lock=lambda args: 'dataset_lock')` uses global lock.\nFile: dataset_encryption_lock.py:93 - `@job(lock=lambda args: f'dataset_unlock_{args[0]}')` uses per-dataset lock.\nFile: dataset_encryption_lock.py:66 - `unload_key` is called inside the lock method.", - "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", - "id": "f_040", - "line_end": 33, - "line_start": 31, - "score": 0.595, + "dimension_id": "pbkdf2iters-migration-behavior", + "dimension_name": "PBKDF2 Iteration Count Silent Migration", + "evidence": "Step 1: User has a passphrase-encrypted dataset with `pbkdf2iters=350000` (set under v25.x).\nStep 2: User or script calls `pool.dataset.change_key` via v25.x API client without specifying `pbkdf2iters`.\nStep 3: `_adapt_value` (version.py:224-227) detects `pbkdf2iters` is absent; since the field has a default in v26 (`1300000`), it fills: `value['pbkdf2iters'] = 1300000`.\nStep 4: `from_previous` is a no-op for `max(1300000, 1300000)`, but the effective value is now 1,300,000 instead of the user's expected 350,000.\nStep 5: `change_key` plugin line 191 passes `pbkdf2iters: 1300000` to `validate_encryption_data`.\nStep 6: Since `passphrase_key_format=True`, line 114 includes `pbkdf2iters` in `opts`.\nStep 7: `zfs/encryption.py::change_key()` writes `pbkdf2iters=1300000` permanently to ZFS.\nStep 8: API returns `{\"result\": null}` \u2014 no indication the iteration count was elevated.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", + "id": "f_012", + "line_end": 186, + "line_start": 175, + "score": 0.644, "severity": "important", - "suggestion": "Use consistent lock namespaces for related operations. Options:\n1. Use per-dataset locks for both: `f'dataset_lock_{args[0]}'` for lock and `f'dataset_unlock_{args[0]}'` for unlock\n2. Use a unified namespace: `f'dataset_encryption_{args[0]}'` for all encryption operations on a dataset\n3. Keep the global lock for lock operations (since unload_key affects children), but ensure unlock respects it during the unload_key phase", + "suggestion": "Compare `options['pbkdf2iters']` against the dataset's current stored iteration count before applying the change (available via `ds['pbkdf2iters']['parsed']` from `get_instance_quick`). If the value is being elevated due to the minimum-floor and not due to the user explicitly passing the new value, emit a warning. Consider adding a `pbkdf2iters_effective` field to `PoolDatasetChangeKeyResult` so callers can detect the actual value applied.", "tags": [ - "race-condition", - "locking", "encryption", - "lock-namespace", - "process-pool" + "silent-mutation", + "pbkdf2", + "dataset-state-change", + "api-versioning" ], - "title": "Inconsistent lock namespaces allow concurrent lock/unlock on same dataset" + "title": "Existing passphrase-encrypted datasets silently re-keyed at 3.7x higher iteration count on next change_key call via any API version" }, { "active_multipliers": [], - "body": "The `change_key` operation uses lock `f'dataset_change_key_{args[0]}'` (line 120), while `inherit_parent_encryption_properties` has NO job decorator and thus NO lock (lines 217-218). This allows:\n\n**Race scenario**:\n1. User calls `pool.dataset.change_key('tank/data')` - acquires `'dataset_change_key_tank/data'`\n2. Concurrently, user calls `pool.dataset.inherit_parent_encryption_properties('tank/data')` - no lock required\n3. Both operations run concurrently on the same dataset\n4. Both call `change_key()` and `change_encryption_root()` respectively on the same dataset\n\n**ZFS operation conflict**:\n- `change_key()` calls `crypto.change_key()` in libzfs\n- `change_encryption_root()` calls `crypto.inherit_key()` in libzfs\n- These both modify the dataset's encryption properties and should not run concurrently\n\n**Process pool context**: Previously, the process pool would serialize these operations even without explicit locks. With direct library calls, there's no serialization.", - "confidence": 0.85, + "body": "`ZFSKeyAlreadyLoadedException` (line 14) and `ZFSNotEncryptedException` (line 20) both inherit directly from `Exception`. This is the root cause of the contract break identified in the other findings.\n\nIn the TrueNAS middleware architecture, user-facing errors are expected to be `CallError` instances (with an `errno` attribute). Any unhandled non-`CallError` exception that escapes a service method is treated as an internal server error by the WebSocket API layer, producing unstructured error responses.\n\nBy making these exceptions plain `Exception` subclasses:\n1. Every call site that calls `load_key()`, `check_key()`, `change_key()`, or `change_encryption_root()` must manually wrap exceptions to convert them to `CallError` \u2014 creating a systemic catch-site gap.\n2. Existing bare `except Exception` handlers (as in `dataset_encryption_lock.py:229`) silently absorb them as string errors with no errno, making them indistinguishable from other failures.\n3. The `.message` attribute is redundant with `str(e)` since `super().__init__(self.message)` already sets the string representation \u2014 the `.message` attribute is never used by any handler.", + "confidence": 0.9, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "process-pool-removal-impact", - "dimension_name": "Process Pool Removal Impact on ZFS Encryption Operations", - "evidence": "File: dataset_encryption_operations.py:120 - change_key uses `@job(lock=lambda args: f'dataset_change_key_{args[0]}')`.\nFile: dataset_encryption_operations.py:217-218 - inherit_parent_encryption_properties has no @job decorator.\nFile: encryption.py:62-90 and 93-106 - Both operations modify encryption state via libzfs.", - "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", - "id": "f_041", - "line_end": 120, - "line_start": 118, - "score": 0.595, + "dimension_id": "exception-handling-contract", + "dimension_name": "Exception Handling Contract", + "evidence": "Step 1: `exceptions.py:14` \u2014 `class ZFSKeyAlreadyLoadedException(Exception)` \u2014 base class is plain `Exception`.\nStep 2: `exceptions.py:20` \u2014 `class ZFSNotEncryptedException(Exception)` \u2014 base class is plain `Exception`.\nStep 3: These are imported and raised in `zfs/encryption.py` at lines 31, 33, 58, 88, 105.\nStep 4: `dataset_encryption_lock.py:229` and `dataset_encryption_operations.py:200,263` are call sites with no conversion to `CallError`.\nStep 5: The middleware WebSocket error dispatch (not read, but standard TrueNAS architecture) wraps `CallError` into structured JSON error responses with errno codes; plain `Exception` becomes an unstructured internal error.", + "file_path": "src/middlewared/middlewared/plugins/zfs/exceptions.py", + "id": "f_007", + "line_end": 23, + "line_start": 14, + "score": 0.63, "severity": "important", - "suggestion": "Add a job lock to `inherit_parent_encryption_properties` using the same namespace as `change_key`, or use a unified encryption operation lock per dataset. For example:\n```python\n@job(lock=lambda args: f'dataset_encryption_{args[0]}')\n```\nThis would serialize all encryption-modifying operations on the same dataset.", + "suggestion": "Change the base class of both exceptions to `CallError` with appropriate errno values:\n```python\nfrom middlewared.service.core import CallError # or wherever CallError is importable\nimport errno\n\nclass ZFSKeyAlreadyLoadedException(CallError):\n def __init__(self, path: str):\n super().__init__(f\"{path!r} key is already loaded\", errno=errno.EEXIST)\n\nclass ZFSNotEncryptedException(CallError):\n def __init__(self, path: str):\n super().__init__(f\"{path!r} is not encrypted\", errno=errno.ENOTSUP)\n```\nThis ensures that wherever these exceptions propagate \u2014 through `except Exception`, `except CallError`, or unhandled \u2014 they carry structured error information and are handled correctly by the middleware's error dispatch layer. Note: verify there are no circular import issues between `middlewared.plugins.zfs` and `middlewared.service`; if so, an intermediate base class in `zfs/exceptions.py` may be needed.", "tags": [ - "race-condition", - "locking", - "encryption", - "missing-lock", - "process-pool" + "exception-hierarchy", + "api-contract", + "architecture", + "error-propagation" ], - "title": "change_key and inherit_parent_encryption_properties can run concurrently on same dataset" + "title": "Custom ZFS exceptions inherit from plain Exception instead of CallError, breaking structured error propagation across all callers" }, { "active_multipliers": [], - "body": "The `path_in_locked_datasets()` method in `dataset_encryption_info.py` is marked as **\"EXTREMELY hot code path\"** and opens ZFS resources without cleanup.\n\n**The Problem:**\n- This method is called frequently (potentially thousands of times) to check if paths are in locked datasets\n- Line 263: `crypto = tls.lzh.open_resource(name=path).crypto()` creates resource objects\n- Lines 275-276: Same pattern in the fallback path\n- The comment warns \"Do not add more things here\" but doesn't address resource cleanup\n\n**Impact:**\n- High-frequency operations without resource cleanup\n- Resource handles accumulate rapidly\n- May cause performance degradation or resource exhaustion under load\n\n**Process Pool vs Direct Calls:**\n- With process pools: Resources freed when worker process exits (automatic)\n- With direct calls: Resources persist in long-running threads (manual cleanup required)", - "confidence": 0.8, + "body": "`dataset_encryption_operations.py:200` calls `change_key(tls, id_, encryption_dict, key)` with no surrounding try/except. The `change_key` function in `zfs/encryption.py:87-88` can raise `ZFSNotEncryptedException` if `rsrc.crypto()` returns `None`.\n\nAlthough the `change_key` method does validate `ds['encrypted']` at line 134 via `verrors.add`, this is a **database/metadata check** \u2014 it does NOT prevent a race condition where the ZFS state diverges from the database (e.g. dataset was recreated between the query and the `change_key` call). If the ZFS layer reports the dataset as unencrypted but the DB still has it marked encrypted, `ZFSNotEncryptedException` will propagate all the way to the WebSocket API layer as an unhandled `Exception`, not a `CallError`.\n\nSimilarly, `change_encryption_root` at `dataset_encryption_operations.py:263` calls `change_encryption_root(tls, id_)` which also raises `ZFSNotEncryptedException` at `encryption.py:104-105` with no catch.", + "confidence": 0.82, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "resource-cleanup", - "dimension_name": "Resource Cleanup and Error Recovery", - "evidence": "Line 237-238: \"# WARNING: _EXTREMELY_ hot code path. Do not add more\n# things here unless you fully understand the side-effects.\"\n\nLine 263: `crypto = tls.lzh.open_resource(name=path).crypto()`\nLine 271: `return crypto is not None and not crypto.info().key_is_loaded`\n\nLines 275-276: Same pattern in the loop fallback path", - "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", - "id": "f_030", - "line_end": 283, - "line_start": 262, - "score": 0.56, + "dimension_id": "exception-handling-contract", + "dimension_name": "Exception Handling Contract", + "evidence": "Step 1: `change_key` method in `dataset_encryption_operations.py:200` calls `change_key(tls, id_, encryption_dict, key)` with no try/except.\nStep 2: `change_key` in `zfs/encryption.py:86-88`: `rsrc = open_resource(tls, dataset); if (crypto := rsrc.crypto()) is None: raise ZFSNotEncryptedException(dataset)`.\nStep 3: `ZFSNotEncryptedException` inherits from `Exception` (confirmed at `exceptions.py:20`), NOT from `CallError`.\nStep 4: No catch exists between `encryption.py:88` and the WebSocket layer. The exception propagates as a raw `Exception`.\nStep 5: The WebSocket API layer expects `CallError` for user-facing error messages with structured errno codes. A raw `Exception` results in an unstructured 500-style error.\nSame path applies to `change_encryption_root` at `dataset_encryption_operations.py:263` calling `encryption.py:103-105`.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_006", + "line_end": 200, + "line_start": 200, + "score": 0.574, "severity": "important", - "suggestion": "Since this is a hot path, consider:\n1. Using a resource cache/pool for frequently accessed datasets\n2. Explicitly deleting resource references after use: `del crypto`\n3. Documenting the cleanup requirements in the code comment\n4. Monitoring resource usage in production to verify if this is causing issues", + "suggestion": "Wrap the `change_key` and `change_encryption_root` calls with try/except to convert `ZFSNotEncryptedException` (and `ZFSKeyAlreadyLoadedException` if applicable) into `CallError`:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSNotEncryptedException\n\ntry:\n change_key(tls, id_, encryption_dict, key)\nexcept ZFSNotEncryptedException as e:\n raise CallError(str(e), errno=errno.ENOTSUP)\n```\nAlternatively, make `ZFSNotEncryptedException` a subclass of `CallError` with a fixed errno so it automatically presents correctly to all callers throughout the codebase.", "tags": [ - "hot-path", - "performance", - "resource-leak", - "zfs" + "exception-handling", + "api-contract", + "race-condition", + "error-propagation" ], - "title": "Resource leak in hot code path - dataset lock checking" + "title": "ZFSNotEncryptedException from change_key() propagates as raw Exception to WebSocket API layer \u2014 no CallError wrapping" }, { "active_multipliers": [], - "body": "The `open_resource()` utility function is the primary interface for obtaining ZFS resources, but it provides no guidance on resource cleanup.\n\n**Issues:**\n1. No documentation about whether callers need to close/release resources\n2. No context manager support for automatic cleanup\n3. Used extensively across the codebase (50+ locations)\n\n**Impact:**\n- Developers don't know if cleanup is required\n- Inconsistent cleanup patterns throughout the codebase\n- Potential for resource leaks in error paths\n\n**Recommendation:**\nAdd documentation and consider implementing context manager support:\n\n```python\ndef open_resource(tls: Any, path: str) -> Any:\n \"\"\"\n Open a ZFS resource.\n \n IMPORTANT: The returned resource holds native ZFS handles.\n In long-running threads, ensure resources are released promptly\n by using del or explicitly closing when done.\n \n Consider using this as a context manager (if implemented) or\n wrap in try/finally for guaranteed cleanup.\n \"\"\"\n ...\n```", + "body": "In the old `zfs.dataset.load_key` service method, all `libzfs.ZFSException` instances were caught and re-raised as `CallError`. In the new `encryption.py:load_key()`, the call to `crypto.load_key(**kwargs)` at line 34 is **not wrapped in any try/except**.\n\nAny `truenas_pylibzfs.ZFSException` raised by `crypto.load_key()` propagates directly out of `encryption.load_key()` back to its caller with:\n- A `.code` attribute (a `ZFSError` enum value)\n- **No `.errmsg`** or **`.errno`** fields in the `CallError` sense\n- No `CallError` wrapping\n\nFor the `unlock` call path in `dataset_encryption_lock.py`, this is handled correctly: `except ZFSException as e:` at line 223 catches these and processes `EZFS_CRYPTOFAILED` vs. other codes. So the current only caller handles it.\n\nHowever, the **API contract has silently changed**: any other present or future caller of `encryption.load_key()` that expects `CallError` (because the old `zfs.dataset.load_key` always raised `CallError`) will receive raw `ZFSException` instead. If such a caller reaches the WebSocket dispatch layer without intermediate handling, `websocket_app.py:196-207` catches the bare `Exception`, calls `adapt_exception(e)` (which only handles `subprocess.CalledProcessError` \u2014 not `ZFSException`), and falls back to `send_error(message, EINVAL, str(e))`, losing the original ZFS error code entirely and emitting a generic `EINVAL` to the client.", "confidence": 0.8, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "resource-cleanup", - "dimension_name": "Resource Cleanup and Error Recovery", - "evidence": "The open_resource() function at lines 123-133 is called from:\n- encryption.py (4 times)\n- destroy_impl.py (multiple times)\n- mount_unmount_impl.py\n- rename_promote_clone_impl.py\n- snapshot_*.py files\n\nNone of these callers show explicit resource cleanup.", - "file_path": "src/middlewared/middlewared/plugins/zfs/utils.py", - "id": "f_032", - "line_end": 133, - "line_start": 123, + "dimension_id": "error-handling-exception-flow", + "dimension_name": "Exception Handling and Error Flow", + "evidence": "Step 1: `encryption.py:load_key()` calls `crypto.load_key(**kwargs)` at line 34 with no surrounding try/except block.\nStep 2: `truenas_pylibzfs.ZFSException` is the exception type raised by `crypto.load_key()` on failure (e.g., wrong key \u2192 `EZFS_CRYPTOFAILED`).\nStep 3: `ZFSException` has a `.code` attribute (a `ZFSError` enum), but no `.errmsg` or `.errno` in the `CallError` sense.\nStep 4: The old service method `zfs.dataset.load_key` caught all `libzfs.ZFSException` and re-raised as `CallError` \u2014 all callers expected `CallError`.\nStep 5: A hypothetical new caller of `encryption.load_key()` that does not import `truenas_pylibzfs.ZFSException` and uses only `except CallError` will miss the exception.\nStep 6: That uncaught `ZFSException` reaches `websocket_app.py:196`, `adapt_exception(e)` returns `None` (only handles `CalledProcessError`), and `send_error(message, EINVAL, str(e))` emits an unstructured `EINVAL` response to the client.", + "file_path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "id": "f_008", + "line_end": 34, + "line_start": 34, "score": 0.56, "severity": "important", - "suggestion": "1. Add documentation about resource cleanup requirements\n2. Implement __enter__/__exit__ on the returned object if possible\n3. Or provide a contextmanager wrapper\n4. Audit all callers to ensure proper cleanup", + "suggestion": "Either:\n1. **Document the contract explicitly** in `load_key()`'s docstring: state that it may raise `truenas_pylibzfs.ZFSException` directly (in addition to `ZFSNotEncryptedException` and `ZFSKeyAlreadyLoadedException`), so all callers know they must handle `ZFSException`.\n2. **Convert at the boundary**: wrap `crypto.load_key(**kwargs)` in a try/except that re-raises as a typed domain exception (e.g., add `ZFSLoadKeyException` to `exceptions.py`), so `encryption.py` never leaks `truenas_pylibzfs` types to callers:\n```python\ntry:\n crypto.load_key(**kwargs)\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n raise ZFSInvalidKeyException(dataset) from e\n raise\n```\nOption 2 is the cleaner design: it keeps `truenas_pylibzfs` as an internal implementation detail.", "tags": [ - "documentation", - "api-design", - "resource-management", - "zfs" + "api-contract", + "exception-propagation", + "error-handling", + "refactoring" ], - "title": "open_resource() utility lacks resource management documentation/context manager" + "title": "Raw truenas_pylibzfs.ZFSException from crypto.load_key() propagates out of encryption.load_key() undecorated, breaking the old CallError contract for any caller outside unlock" }, { "active_multipliers": [], - "body": "The return type for `PoolDatasetGetQuotaResult` changed from `list[PoolDatasetQuota]` to `list[PoolDatasetQuota] | PoolDatasetQuota | int`.\n\n**Impact**:\n- Clients expecting a list result may break when receiving a single `PoolDatasetQuota` object or an `int`\n- Type checking in client code may fail\n- This is a more permissive return type that could confuse consumers\n\n**Question**: Under what conditions does this endpoint return non-list types? This should be documented or the endpoint should be split.", + "body": "**The 3.7x increase from 350,000 to 1,300,000 PBKDF2 iterations is applied unconditionally with no runtime check for hardware capability. On low-power or embedded hardware, this can cause passphrase-based key derivation to exceed unlock timeouts, making encrypted datasets permanently inaccessible without manual CLI intervention.**\n\nOnce a passphrase-encrypted dataset is re-keyed with `pbkdf2iters=1300000` (whether explicitly or via the silent clamping in `from_previous`), every future unlock attempt runs PBKDF2-SHA256 with 1,300,000 iterations synchronously. On ARM SoCs and Atom-class CPUs common in consumer NAS hardware:\n- At 350,000 iters: typically ~0.5\u20131 second per dataset\n- At 1,300,000 iters: typically ~2\u20134 seconds per dataset\n\nFor pools with multiple passphrase-encrypted datasets that must all unlock at pool import (a common TrueNAS configuration), unlock times multiply linearly. If this occurs during boot under a systemd service timeout, or during HA failover under a failover timeout, the unlock will fail \u2014 and with `ge=1300000` enforced as the hard minimum, there is **no API path** to reduce the iteration count back down without using the ZFS CLI directly (`zfs change-key -o pbkdf2iters=...`).\n\nThe `change_key` plugin (`dataset_encryption_operations.py:118`) does not measure or estimate key derivation time before applying the new iteration count. Neither `PoolCreateEncryptionOptions` nor `PoolDatasetChangeKeyOptions` expose any per-hardware tuning path below the new minimum.\n\nNote: `PoolCreateEncryptionOptions.from_previous` in `pool.py:152` applies the same clamping on pool creation encryption options. For new pool creation this affects the root dataset's initial encryption setup, not just re-keying.", "confidence": 0.75, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "api_compatibility", - "dimension_name": "API v26_0_0 Breaking Changes Review", - "evidence": "v25_10_2: result: list[PoolDatasetQuota]\nv26_0_0: result: list[PoolDatasetQuota] | PoolDatasetQuota | int", - "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", - "id": "f_026", - "line_end": 651, - "line_start": 649, + "dimension_id": "pbkdf2iters-migration-behavior", + "dimension_name": "PBKDF2 Iteration Count Silent Migration", + "evidence": "Step 1: Passphrase-encrypted dataset is re-keyed to `pbkdf2iters=1300000` via `change_key` (either explicitly or via silent clamping from `from_previous`).\nStep 2: `dataset_encryption_operations.py:191` passes `pbkdf2iters: options['pbkdf2iters']` to `validate_encryption_data`.\nStep 3: `validate_encryption_data` line 114 includes `pbkdf2iters` in `opts` when `passphrase_key_format=True`.\nStep 4: `zfs/encryption.py::change_key()` line 89 calls `tls.lzh.resource_cryptography_config(**props)` with `pbkdf2iters=1300000`, permanently recording it as a ZFS dataset property.\nStep 5: On the next pool import or `pool.dataset.unlock`, ZFS runs PBKDF2-SHA256 with 1,300,000 iterations to derive the wrapping key from the passphrase.\nStep 6: On low-power hardware (e.g., Cortex-A53 at 1.4GHz, ~350k iters/sec for PBKDF2-SHA256), this takes ~3.7 seconds per dataset. With 5 passphrase datasets: ~18.5 seconds total.\nStep 7: If a systemd or HA failover timeout fires during this window, unlock fails; dataset remains locked.\nStep 8: The `ge=1300000` constraint on `PoolDatasetChangeKeyOptions` means there is no supported API path to reduce `pbkdf2iters` on an already-re-keyed dataset \u2014 only direct ZFS CLI access can recover.", + "file_path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "id": "f_013", + "line_end": 154, + "line_start": 151, "score": 0.525, "severity": "important", - "suggestion": "Consider using separate endpoints or query parameters to determine return type, or always return a list with a single element. Alternatively, document clearly when each type is returned.", + "suggestion": "Consider the following mitigations: (1) **Benchmark gate:** Before applying `change_key` with a high `pbkdf2iters`, run a short PBKDF2 benchmark and warn or reject if estimated unlock time exceeds a configurable threshold. (2) **System-wide override:** Allow a `tunable` or system config option to set a lower `pbkdf2iters` ceiling for constrained hardware, overriding the API minimum for that installation. (3) **Recovery documentation:** Explicitly document that `zfs change-key -o pbkdf2iters=` is available as a recovery path if unlock times become prohibitive. (4) **Job warning:** At minimum, have the `change_key` job emit a progress message noting the effective iteration count when it exceeds the old default.", "tags": [ - "return-type", - "quota", - "breaking-change" + "encryption", + "availability", + "hardware", + "pbkdf2", + "timeout-risk", + "embedded" ], - "title": "PoolDatasetGetQuotaResult return type expanded" + "title": "3.7x PBKDF2 iteration increase enforced with no hardware capability check; may cause passphrase unlock timeouts making datasets inaccessible" }, { "active_multipliers": [], - "body": "The `load_key()`, `check_key()`, `change_key()`, and `change_encryption_root()` functions in `encryption.py` open ZFS resources via `open_resource()` but never explicitly release them.\n\n**The Problem:**\n- `open_resource(tls, dataset)` returns a ZFS resource object wrapping a C library handle\n- `rsrc.crypto()` returns a cryptography object with additional native resources\n- Neither object has explicit cleanup (no `.close()`, no context manager, no `try/finally`)\n- In the previous process pool architecture, this was acceptable because the entire process would exit, and the OS would reclaim all resources\n- With direct library calls in long-running threads, these objects persist until Python's garbage collector runs, which may not happen promptly enough\n\n**Resource Leak Scenario:**\n1. A long-running middleware thread calls `load_key()` repeatedly for many datasets\n2. Each call creates native ZFS handles that are not immediately released\n3. ZFS has internal limits on open handles per pool/process\n4. Eventually, operations may fail with `ENOMEM` or `EMFILE` errors\n\n**Recommendation:**\nWrap ZFS resource operations in context managers or use `try/finally` blocks to ensure resources are released immediately after use. Consider implementing a context manager in `open_resource()` or documenting that callers must explicitly close resources.", - "confidence": 0.75, + "body": "`@pass_thread_local_storage` is a **marker-only decorator** \u2014 it sets `fn._pass_thread_local_storage = True` and returns `fn` unchanged (`decorators.py:221-222`). The actual `tls` injection happens only at API dispatch time: in `main.py:862-865` for normal methods and `job.py:620-621` for `@job` methods.\n\nWhen `sync_zfs_keys` calls `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)` directly (lines 138 and 142), these are **plain Python method calls** \u2014 they bypass the middleware dispatch system entirely. The `_pass_thread_local_storage` attribute on `push_zfs_keys` and `pull_zfs_keys` has **no effect** on direct calls. Therefore, `tls` is supplied exactly once by the caller, and the functions receive it correctly.\n\nThe decorators on `push_zfs_keys`/`pull_zfs_keys` are intentional: they allow those methods to be called independently through the middleware dispatch system (e.g., `self.middleware.call_sync('kmip.push_zfs_keys', ...)`) with `tls` injected automatically. The `# type: ignore` comments are consistent with the decorator's type signature hiding `tls` from external callers.\n\n**No double-injection occurs. The code is correct for this pattern.**", + "confidence": 0.98, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "resource-cleanup", - "dimension_name": "Resource Cleanup and Error Recovery", - "evidence": "Step 1: `load_key()` calls `open_resource(tls, dataset)` at line 29, returning a resource handle\nStep 2: Line 30 calls `rsrc.crypto()`, returning a crypto object\nStep 3: Lines 31-34 perform operations and may raise exceptions\nStep 4: No cleanup code exists - both objects rely on Python GC\n\nSame pattern in:\n- `check_key()` (lines 56-59)\n- `change_key()` (lines 86-90)\n- `change_encryption_root()` (lines 103-106)", - "file_path": "src/middlewared/middlewared/plugins/zfs/encryption.py", - "id": "f_029", - "line_end": 34, - "line_start": 29, - "score": 0.525, - "severity": "important", - "suggestion": "Consider modifying the code to explicitly release resources:\n\n```python\ndef load_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> None:\n if len(kwargs) > 1:\n raise ValueError('Cannot specify both key and key location')\n rsrc = open_resource(tls, dataset)\n try:\n if (crypto := rsrc.crypto()) is None:\n raise ZFSNotEncryptedException(dataset)\n if crypto.info().key_is_loaded:\n raise ZFSKeyAlreadyLoadedException(dataset)\n crypto.load_key(**kwargs)\n finally:\n # Explicitly release the resource\n del rsrc # Or rsrc.close() if the library supports it\n```\n\nAlternatively, wrap `open_resource()` in a context manager:\n\n```python\nfrom contextlib import contextmanager\n\n@contextmanager\ndef zfs_resource(tls, path):\n rsrc = open_resource(tls, path)\n try:\n yield rsrc\n finally:\n # Cleanup code here\n pass\n\n# Usage:\nwith zfs_resource(tls, dataset) as rsrc:\n crypto = rsrc.crypto()\n # ... operations\n```", + "dimension_id": "decorator_injection", + "dimension_name": "Decorator Double-Injection Analysis", + "evidence": "Step 1: `pass_thread_local_storage` in `service/decorators.py:209-222` sets `fn._pass_thread_local_storage = True` and returns `fn` unchanged \u2014 no wrapping, no injection at decoration time.\nStep 2: `main.py:862-865` \u2014 injection only occurs inside `_call_prepare`, which is invoked by the middleware dispatch system, not on direct Python calls.\nStep 3: `job.py:620-621` \u2014 same: injection only at job run time via `prepend.append(thread_local_storage)`.\nStep 4: `sync_zfs_keys` at lines 138/142 calls `self.push_zfs_keys(tls, ids)` directly \u2014 this is a plain Python attribute lookup and call, bypassing `_call_prepare` entirely.\nStep 5: `push_zfs_keys` receives `(self, tls, ids)` \u2014 one `tls` from the caller, zero injected by decorator. Correct.", + "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "id": "f_000", + "line_end": 142, + "line_start": 138, + "score": 0.294, + "severity": "suggestion", + "suggestion": "No change needed for the decorator/injection pattern. The explicit `tls` passing at lines 138 and 142 is correct because these are direct Python method calls, not middleware dispatches.", "tags": [ - "resource-leak", - "zfs", - "cleanup", - "threading" + "decorator", + "thread-local-storage", + "no-bug", + "call-convention" ], - "title": "ZFS resource objects not explicitly cleaned up after encryption operations" + "title": "No double-injection bug: explicit tls passing is correct for direct calls" }, { "active_multipliers": [], - "body": "The code checks for `ZFSError.EZFS_CRYPTOFAILED` when a key loading operation fails. However, there is no verification that this error code has the same numeric value between the old `py-libzfs` library and the new `truenas_pylibzfs` library.\n\nIf the numeric values differ between libraries:\n1. Error handling logic will silently fail to catch the expected errors\n2. Users will receive generic error messages instead of specific 'Invalid Key' messages\n3. The unlock operation may report success when it actually failed due to wrong key\n\nAdditionally, if truenas_pylibzfs introduces new error codes that have no py-libzfs equivalent, those error conditions won't be handled.", - "confidence": 0.75, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "error-code-mapping", - "dimension_name": "ZFSError Enum Mapping Verification", - "evidence": "The code imports ZFSError from truenas_pylibzfs (line 9):\n```python\nfrom truenas_pylibzfs import ZFSError, ZFSException\n```\n\nBut there's no verification that these error codes match the expected values from the old library. The code at line 224 compares `e.code` directly to `ZFSError.EZFS_CRYPTOFAILED` without knowing if the numeric values are consistent.", - "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", - "id": "f_035", - "line_end": 232, - "line_start": 220, - "score": 0.525, - "severity": "important", - "suggestion": "Verify that EZFS_CRYPTOFAILED and other error codes have the same numeric values between py-libzfs and truenas_pylibzfs. Add a test or validation script that compares the enum values from both libraries. If values differ, create a mapping layer to translate between them.", - "tags": [ - "error-codes", - "library-migration", - "verification-needed", - "compatibility" - ], - "title": "Error code mapping between py-libzfs and truenas_pylibzfs not verified" - }, - { - "active_multipliers": [ - "cross_ref_compound", - "adversary_challenged" - ], - "body": "In `sync_db_keys()`, the `check_key()` call at line 201 is wrapped in a broad `except Exception:` that sets `should_remove = True`. This means database encryption keys will be removed for ANY error - not just invalid keys, but also permission errors, dataset not found, ZFS operational failures, etc.\n\n**Risk scenario:**\n1. Database contains encryption key for dataset 'tank/secure'\n2. ZFS pool becomes temporarily unavailable or permission issue occurs\n3. `check_key()` raises an error (not EZFS_CRYPTOFAILED)\n4. Exception handler catches it and sets `should_remove = True`\n5. Key is removed from database\n6. User can no longer unlock the dataset even when the underlying issue is resolved\n\n**Data loss potential:** This could lead to permanent data loss if the only copy of the encryption key was in the database and it gets erroneously removed due to a transient ZFS error.", + "body": "The only integration test for `inherit_parent_encryption_properties` (`tests/api2/test_pool_dataset_encryption.py:404`) exercises the case where the parent's encryption root uses a **hex key** \u2014 so `parent_encrypted_root['key_format']['value'] == 'HEX'`. The guard evaluates to `False` in both old and new code, meaning this test provides **zero coverage** of the bug fix.\n\nThe case that was silently broken (passphrase-encrypted parent root + key-encrypted child encryption roots under `id_`) has never been tested. Now that the guard works correctly, there is a real behavioral difference: the operation **raises a `CallError`** instead of silently succeeding. Without a test for this path:\n\n1. There is no automated verification that the `CallError` message is correct.\n2. A future refactor could re-introduce the same type-comparison mistake and no test would catch it.\n3. The complementary allowed case \u2014 passphrase parent root, `id_` has *no* key-encrypted child roots \u2014 is also untested; verifying it proceeds successfully is equally important.\n\nThe guard itself (`any(d['name'] == d['encryption_root'] for d in self.middleware.call_sync('pool.dataset.query', [...]))`) is logically sound and the fix is correct, but the absence of test coverage for the enforced path is a gap worth closing.", "confidence": 0.95, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "error_propagation_check_key", - "dimension_name": "check_key Error Propagation Verification", - "evidence": "Step 1: At dataset_encryption_info.py:200-206:\n```python\ntry:\n should_remove = not check_key(tls, ds_name, key=key)\nexcept Exception:\n should_remove = True\n\nif should_remove:\n to_remove.append(ds_name)\n```\n\nStep 2: Any exception (permission denied, dataset not found, etc.) results in the key being removed from the database at line 212:\n`self.middleware.call_sync('pool.dataset.delete_encrypted_datasets_from_db', [['name', 'in', to_remove]])`", - "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", - "id": "f_011", - "line_end": 203, - "line_start": 200, - "score": 0.499, - "severity": "important", - "suggestion": "Implement proper error discrimination:\n1. Only remove keys from database when `check_key()` returns False (EZFS_CRYPTOFAILED)\n2. For other ZFS exceptions, log the error but preserve the database key\n3. Consider adding retry logic or a 'force' flag for maintenance operations\n\nRefactor lines 200-206:\n```python\ntry:\n key_valid = check_key(tls, ds_name, key=key)\nexcept ZFSNotEncryptedException:\n should_remove = True # Dataset not encrypted, remove stale key\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n should_remove = True # Wrong key\n else:\n self.logger.error('ZFS error checking key for %s: %s', ds_name, e)\n continue # Preserve key on operational errors\nelse:\n should_remove = not key_valid\n```", + "dimension_id": "enum-comparison-guard", + "dimension_name": "Enum vs String Comparison Bug in Encryption Root Guard", + "evidence": "Only test reference: `tests/api2/test_pool_dataset_encryption.py:404`\n```python\ndef test_key_encrypted_dataset(self):\n # parent uses HEX key\n payload = {'name': dataset, 'encryption_options': {'key': dataset_token_hex}, ...}\n call('pool.dataset.create', payload)\n # child uses PASSPHRASE\n payload.update({'name': child_dataset, 'encryption_options': {'passphrase': passphrase}})\n call('pool.dataset.create', payload)\n # parent_encrypted_root is the HEX-keyed parent -> guard evaluates False in both old and new code\n call('pool.dataset.inherit_parent_encryption_properties', child_dataset)\n ds = call('pool.dataset.get_instance', child_dataset)\n assert ds['key_format']['value'] == 'HEX', ds\n```\nNo test exercises the path where `parent_encrypted_root['key_format']['value'] == 'PASSPHRASE'`.", + "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", + "id": "f_004", + "line_end": 261, + "line_start": 248, + "score": 0.285, + "severity": "suggestion", + "suggestion": "Add a test case in `tests/api2/test_pool_dataset_encryption.py` that:\n1. Creates a passphrase-encrypted dataset `P` as an encryption root.\n2. Creates `P/K` as a key-encrypted encryption root (child of P).\n3. Creates `P/K/KC` as a second key-encrypted encryption root (grandchild).\n4. Calls `pool.dataset.inherit_parent_encryption_properties('P/K')` and asserts a `ClientException` / `CallError` is raised containing the expected message.\n5. Also tests the allowed sub-case: `P/K` with no key-encrypted child roots successfully inherits from the passphrase root.", "tags": [ - "data-loss-risk", - "error-handling", - "zfs", - "encryption" + "test-coverage", + "encryption", + "guard", + "regression-risk" ], - "title": "Database key sync silently removes keys on ANY ZFS error" + "title": "No test covers the newly-enforced rejection path (passphrase root + key-encrypted child roots)" }, { "active_multipliers": [], - "body": "The `PoolDatasetCreateArgs.data` field now has an explicit `discriminator='type'` annotation. Additionally, a `model_validator` was added to default `type` to 'FILESYSTEM' if not provided.\n\n**Changes**:\n1. Added `Field(discriminator='type')` to the Union type\n2. Added `set_default_type` model validator\n\n**Potential Issues**:\n- Some JSON serializers/deserializers may handle discriminator fields differently\n- The discriminator field might cause issues with certain client libraries that don't support OpenAPI discriminator semantics\n- While the model_validator provides backward compatibility for missing type fields, the discriminator field itself could cause issues with strict validation\n\n**Question**: Does the middleware framework properly handle discriminator fields in the API layer? This could affect how requests are parsed.", - "confidence": 0.7, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "api_compatibility", - "dimension_name": "API v26_0_0 Breaking Changes Review", - "evidence": "v25_10_2: data: PoolDatasetCreateFilesystem | PoolDatasetCreateVolume\nv26_0_0: data: PoolDatasetCreateFilesystem | PoolDatasetCreateVolume = Field(discriminator='type')\n \n @model_validator(mode='before')\n @classmethod\n def set_default_type(cls, data: Any) -> Any: ...", - "file_path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", - "id": "f_025", - "line_end": 551, - "line_start": 540, - "score": 0.49, - "severity": "important", - "suggestion": "Test that discriminator field works correctly with the middleware's API handling. Consider if this change is necessary or if the previous union type without discriminator was sufficient.", - "tags": [ - "discriminator", - "union-type", - "dataset-create", - "pydantic" - ], - "title": "PoolDatasetCreateArgs discriminator field may break clients" - }, - { - "active_multipliers": [ - "cross_ref_compound", - "adversary_challenged" - ], - "body": "The `initialize_zfs_keys` method (lines 164-178) is called from `sync.py:initialize_keys` job at line 98 WITHOUT any synchronization with other cache-modifying methods. This method directly writes to `self.zfs_keys[ds['name']]` at lines 167 and 175 without any lock protection. It can run concurrently with `sync_zfs_keys`, `reset_zfs_key`, `update_zfs_keys`, or `clear_sync_pending_zfs_keys`. While Python dict operations are thread-safe for single operations, compound operations and iteration (like the loop at line 165) are not atomic. Additionally, the cache assignment at line 175 happens AFTER retrieving a key from the KMIP server, but there's no mechanism to ensure this key is still valid by the time it's stored.", - "confidence": 0.9, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "kmip-cache-thread-safety", - "dimension_name": "KMIP Key Cache Thread Safety", - "evidence": "Step 1: `initialize_keys` job starts and calls `initialize_zfs_keys(connection_success)` at sync.py:98.\nStep 2: Thread A iterates over datasets and calls `_retrieve_secret_data()` at line 171 (synchronous network call).\nStep 3: Thread B calls `sync_zfs_keys()` which modifies `self.zfs_keys` at line 138 via `push_zfs_keys`.\nStep 4: Thread A returns from `_retrieve_secret_data()` and assigns `self.zfs_keys[ds['name']] = key` at line 175, overwriting Thread B's update.\nResult: Cache inconsistency where newer data from Thread B is lost.", - "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", - "id": "f_002", - "line_end": 175, - "line_start": 164, - "score": 0.473, - "severity": "important", - "suggestion": "Add a `threading.RLock` to the KMIPService class `__init__` and acquire it in all methods that access `self.zfs_keys`. Consider whether `initialize_zfs_keys` should clear the cache first or merge carefully with existing entries.", - "tags": [ - "thread-safety", - "cache-consistency", - "concurrency" - ], - "title": "Unprotected Cache Access in initialize_zfs_keys" - }, - { - "active_multipliers": [ - "cross_ref_compound", - "adversary_challenged" - ], - "body": "The `check_key()` function is documented to return `False` only for `EZFS_CRYPTOFAILED` (wrong key) while raising exceptions for other ZFS errors. However, the caller at line 106-109 uses a broad `except Exception:` handler that treats ALL errors as invalid keys. This masks serious issues like permission errors (EACCES), malformed datasets, or ZFS operational failures that should be propagated to the user.\n\n**The contract vs. implementation mismatch:**\n- `check_key()` docstring (encryption.py:41-43): Raises for errors *other than* EZFS_CRYPTOFAILED\n- Actual caller behavior: Catches ALL exceptions and treats them as `valid_key = False`\n\n**Impact:** Users will see 'Provided key is invalid' when the actual error could be:\n- Permission denied on key file or dataset\n- Dataset not found\n- ZFS pool offline/unavailable\n- Malformed key format\n\nThis violates the principle of least surprise and makes debugging encryption issues significantly harder.", - "confidence": 0.9, + "body": "The review prompt raised a concern that if `@pass_thread_local_storage` wraps the `@job`-decorated function, the lock lambda might see `(tls, name)` instead of `(name,)`.\n\nThis concern does **not** apply. Both decorators are pure markers:\n\n```python\n# decorators.py:153-166\ndef check_job(fn):\n fn._job = {'lock': lock, ...}\n return fn # fn is returned unchanged\n\n# decorators.py:221-222\nfn._pass_thread_local_storage = True\nreturn fn # fn is returned unchanged\n```\n\nNeither decorator wraps the function \u2014 they only set attributes. The `tls` object is injected at job run time in `job.py:620-621` inside `Job.__run_body`, well after `get_lock_name()` has already evaluated the lock lambda at queue time. The `Job` object is constructed with `params` (raw caller args), and that is what the lambda sees \u2014 never `tls`.\n\nThe actual decorator stacking requirement is documented in `api/base/decorator.py:53-59`: `@job` must be the innermost (bottommost) decorator, and the current ordering is correct.", + "confidence": 0.97, "diff_line": null, "diff_side": "RIGHT", - "dimension_id": "error_propagation_check_key", - "dimension_name": "check_key Error Propagation Verification", - "evidence": "Step 1: `check_key()` docstring at encryption.py:41-43 states:\n'Raises ZFSNotEncryptedException if the dataset is not encrypted or if the ZFS operation fails for a reason other than a wrong key (EZFS_CRYPTOFAILED returns False rather than raising)'\n\nStep 2: Caller at dataset_encryption_info.py:106-109:\n```python\ntry:\n valid_key = check_key(tls, name, key=ds_key)\nexcept Exception:\n valid_key = False\n```\n\nStep 3: The broad `except Exception:` catches ALL errors including permission errors, dataset not found, etc., treating them all as 'invalid key'.", + "dimension_id": "decorator-order-lock-key", + "dimension_name": "Decorator Order and Lock Key Correctness", + "evidence": "Step 1: `@pass_thread_local_storage` at `decorators.py:209-222` sets `fn._pass_thread_local_storage = True` and returns `fn` \u2014 no wrapping.\nStep 2: `@job` at `decorators.py:153-166` sets `fn._job = {...}` and returns `fn` \u2014 no wrapping.\nStep 3: `_call_prepare` at `main.py:880` constructs `Job(..., params, job_options, ...)` where `params` is the raw caller args \u2014 `tls` is NOT in this list.\nStep 4: `tls` injection for jobs occurs in `job.py:620-621` inside `Job.__run_body`, which runs after the job has been queued and the lock key has already been computed.\nStep 5: `get_lock_name` at `job.py:422` calls `lock_name(self.args)` where `self.args = params` \u2014 the lambda never sees `tls`.", "file_path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", "id": "f_010", - "line_end": 109, - "line_start": 106, - "score": 0.473, - "severity": "important", - "suggestion": "Replace the broad `except Exception:` with specific exception handling:\n1. Catch `ZFSException` and check `e.code == ZFSError.EZFS_CRYPTOFAILED` \u2192 set `valid_key = False`\n2. Catch `ZFSNotEncryptedException` \u2192 set appropriate error message\n3. Let other ZFS errors propagate or catch and re-raise with context\n\nThis preserves the intended contract where wrong keys return False but operational errors are surfaced to users.", - "tags": [ - "error-handling", - "zfs", - "encryption", - "api-contract" - ], - "title": "Broad exception handling masks non-crypto ZFS errors in check_key()" - }, - { - "active_multipliers": [ - "cross_ref_compound", - "adversary_challenged" - ], - "body": "In `pull_zfs_keys()` at lines 104-118, the `check_key()` call is used to determine whether to use the cached key or retrieve from KMIP. The broad exception handling at line 117 adds the dataset to the `failed` list for ANY error, including:\n- Permission errors (should retry, not fail)\n- Dataset temporarily unavailable (should retry, not fail)\n- Malformed key format (could be a configuration issue)\n\n**The problem:** The dataset gets added to `failed` but the error is only logged at debug level. There's no way for administrators to distinguish between 'key was invalid' vs 'ZFS operation failed'.", - "confidence": 0.9, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "error_propagation_check_key", - "dimension_name": "check_key Error Propagation Verification", - "evidence": "Step 1: At kmip/zfs_keys.py:104-118:\n```python\ntry:\n if ds['encryption_key']:\n key = ds['encryption_key']\n elif (\n ds['name'] in self.zfs_keys\n and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n ):\n key = self.zfs_keys[ds['name']]\n elif connection_successful:\n with self._connection(...) as conn:\n key = self._retrieve_secret_data(ds['kmip_uid'], conn)\n else:\n raise Exception('Failed to sync dataset')\nexcept Exception:\n failed.append(ds['name'])\n```\n\nStep 2: Any exception from check_key() (not just EZFS_CRYPTOFAILED) causes the dataset to be added to the failed list.", - "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", - "id": "f_013", - "line_end": 118, - "line_start": 104, - "score": 0.473, - "severity": "important", - "suggestion": "Implement granular error handling to distinguish key validation failures from operational errors:\n1. `EZFS_CRYPTOFAILED` (wrong key) \u2192 add to failed list\n2. `ZFSNotEncryptedException` \u2192 log warning, don't add to failed\n3. Other ZFS errors \u2192 log error with full traceback, add to failed with specific error message\n4. Consider different retry/backoff strategies for transient vs permanent errors", - "tags": [ - "error-handling", - "kmip", - "zfs", - "silent-failure" - ], - "title": "KMIP pull operation adds datasets to 'failed' list for ANY ZFS error" - }, - { - "active_multipliers": [ - "cross_ref_compound", - "adversary_challenged" - ], - "body": "The `reset_zfs_key` method is designed to remove a single dataset from the cache, but it's called from `dataset_encryption_operations.py:delete_encrypted_datasets_from_db` at line 65 as an async task via `self.middleware.create_task()`. This means multiple `reset_zfs_key` calls can execute concurrently, and they can interleave with other cache-modifying operations like `push_zfs_keys` or `initialize_zfs_keys`. The `pop()` operation at line 186 is atomic, but the subsequent `delete_kmip_secret_data` call at line 189 and hook notification at line 194 are not. If `reset_zfs_key` is called while `push_zfs_keys` is running, the cache entry removed at line 186 might be re-added by `push_zfs_keys` line 78 before the KMIP delete completes, resulting in the key being deleted from KMIP but present in the cache.", - "confidence": 0.85, - "diff_line": null, - "diff_side": "RIGHT", - "dimension_id": "kmip-cache-invalidation", - "dimension_name": "KMIP Key Cache Invalidation", - "evidence": "Step 1: `push_zfs_keys` is processing dataset 'tank/data' and reaches line 78: `self.zfs_keys[ds['name']] = ds['encryption_key']`.\nStep 2: Concurrently, `delete_encrypted_datasets_from_db` calls `reset_zfs_key('tank/data', kmip_uid)` as async task.\nStep 3: `reset_zfs_key` executes `self.zfs_keys.pop('tank/data', None)` at line 186.\nStep 4: `push_zfs_keys` continues and calls `_register_secret_data` at line 86, which succeeds.\nStep 5: `reset_zfs_key` continues to line 189 and calls `delete_kmip_secret_data(kmip_uid)`.\nResult: The key is registered with KMIP, stored in cache, but then deleted from KMIP server while still in cache.", - "file_path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", - "id": "f_003", - "line_end": 194, - "line_start": 185, - "score": 0.446, - "severity": "important", - "suggestion": "Ensure `reset_zfs_key` acquires the same lock used by other cache-modifying methods. Consider making the KMIP key deletion and cache removal atomic under a single lock. Review whether `delete_encrypted_datasets_from_db` should await `reset_zfs_key` instead of using `create_task`.", + "line_end": 162, + "line_start": 158, + "score": 0.097, + "severity": "nitpick", + "suggestion": "No code change needed for this specific concern. The decorator order is correct and `tls` is never present in the lock lambda's argument list.", "tags": [ - "thread-safety", - "cache-invalidation", - "async-task" + "decorator-order", + "false-positive-cleared", + "tls", + "locking" ], - "title": "Async reset_zfs_key Called Without Cache Lock Protection" + "title": "Original `tls`-injection concern is a false alarm: decorator order is correct and `tls` is never visible to the lock lambda" } ], "metadata": { - "agent_invocations": 17, + "agent_invocations": 11, "anatomy": { "blast_radius": [], "clusters": [ @@ -680,7 +399,7 @@ "primary_language": "python" } ], - "context_notes": "This is part of an ongoing migration from py-libzfs to truenas_pylibzfs. The thread-local storage pattern (tls.lzh) is the established pattern for accessing the ZFS library in the new architecture. The @pass_thread_local_storage decorator is critical for dependency injection. The removed file is likely the old ZFS encryption implementation that used process pool workers.", + "context_notes": "The removed file `src/middlewared/middlewared/plugins/zfs_/dataset_encryption.py` used `process_pool = True`, meaning every call to `zfs.dataset.*` previously serialized through a subprocess via the process pool mechanism. The new code runs synchronously in the middleware's main worker threads, sharing the thread-local `tls.lzh` handle managed by `@pass_thread_local_storage`. This is architecturally consistent with the broader truenas_pylibzfs migration effort visible in other modules (load_unload_impl.py, resource_crud.py, etc.). The `truenas_pylibzfs` dependency (PR #145) must provide: `ZFSResource.crypto()` returning an optional `ZFSResourceCryptography` object; `ZFSResourceCryptography.info()` returning an object with `key_is_loaded: bool`; `ZFSResourceCryptography.load_key(**kwargs)`, `.check_key(**kwargs) -> bool`, `.change_key(info)`, and `.inherit_key()`; and `ZFSLibHandle.resource_cryptography_config(**props)` returning a config object. None of these are visible in this repository \u2014 the PR is incomplete without that upstream merge.", "dependency_graph": {}, "files": [ { @@ -1054,21 +773,26 @@ } ], "intent_gaps": [ - "PR description mentions removing 'another use case of our process pool' but doesn't mention the specific file being removed (the diff shows 1 file removed with 112 lines). The removed file likely contained the old py-libzfs implementation that's being replaced", - "PR description references dependency on truenas_pylibzfs PR #145 but doesn't document what specific functionality from that PR is required (likely the resource_cryptography_config or crypto() methods)", - "The new encryption.py module uses tls.lzh.resource_cryptography_config() and crypto() methods (lines 89,30-33,57-59) but there's no validation that these methods exist in the version of truenas_pylibzfs being used - this could cause runtime AttributeError if the dependency version is wrong", - "The PR adds exception classes but doesn't document what happens when encrypted dataset operations encounter other ZFS errors (EZFS_NOMEM, EZFS_IO, etc) - these may now bubble up as unhandled ZFSException instead of being wrapped in CallError" + "The PR description says 'Replace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods' but does not enumerate which methods. The actual scope is: check_key, load_key, change_key, change_encryption_root in four separate call sites across three files. The description gives no indication that kmip/zfs_keys.py is included.", + "The PR description says 'This removes another use case of our process pool' but does not explain that the `zfs.dataset` service (`process_pool = True`) is being entirely deleted, not just reduced. The deleted file's `bulk_process` method was the batch dispatch mechanism; its removal means no more batch key-checking across datasets \u2014 checks are now serial within the job thread.", + "The PR description mentions a dependency on truenas_pylibzfs/pull/145 but does not specify what that PR adds (presumably the `crypto()` method on ZFS resources, `resource_cryptography_config`, and `ZFSResourceCryptography.check_key/load_key/change_key/inherit_key`). The correct behavior of this PR is entirely contingent on that dependency, which is not merged in this repository.", + "The pbkdf2iters security hardening (350k \u2192 1.3M) is not mentioned anywhere in the PR description. Reviewers would not know to scrutinize the performance and migration implications of this change without reading the API model diffs.", + "The PR does not address what happens to the `zfs.dataset.bulk_process` method that was used by callers outside the encryption path (if any). The deleted file's `bulk_process` was a generic dispatcher for any method on `ZFSDatasetService`; its removal is silent and no audit of other callers is documented.", + "The description does not clarify the error-handling philosophy change: old code wrapped all libzfs errors in CallError (friendly, loggable); new code lets raw truenas_pylibzfs ZFSException propagate to callers, relying on catch-all `except Exception` blocks in the job layer for recovery." ], - "pr_narrative": "This PR refactors ZFS dataset encryption operations by replacing the deprecated py-libzfs library with truenas_pylibzfs. The primary change creates a new abstraction layer in middlewared/plugins/zfs/encryption.py that provides four core encryption functions: load_key(), check_key(), change_key(), and change_encryption_root(). These functions use thread-local storage (tls) to access the ZFS library handle and operate directly on datasets without requiring the process pool. The refactor affects three main areas: (1) pool dataset encryption operations (unlock, change_key, inherit_parent_encryption_properties), (2) encryption info queries (encryption_summary, sync_db_keys, path_in_locked_datasets), and (3) KMIP ZFS key management (push_zfs_keys, pull_zfs_keys, sync_zfs_keys). The old mechanism used process pool workers to execute py-libzfs operations in separate processes, while the new mechanism uses @pass_thread_local_storage decorator to inject the ZFS library handle directly into method calls, eliminating process pool overhead.", + "pr_narrative": "This PR replaces the deprecated `py-libzfs` (via `libzfs` Python bindings and the process-pool-dispatched `zfs.dataset` service) with direct `truenas_pylibzfs` calls for four ZFS dataset encryption operations: key loading, key checking, key changing, and encryption root inheritance.\n\n**Old mechanism**: `src/middlewared/middlewared/plugins/zfs_/dataset_encryption.py` defined a `ZFSDatasetService` class (namespace `zfs.dataset`) with `process_pool = True`. This class used `import libzfs` and opened a new `libzfs.ZFS()` context for every operation. Callers in `pool_/dataset_encryption_info.py` and `pool_/dataset_encryption_operations.py` dispatched to this service via `self.middleware.call('zfs.dataset.bulk_process', ...)` or `self.middleware.call('zfs.dataset.change_key', ...)` \u2014 meaning all operations ran in a subprocess pool, fully isolated from the main event loop, and all were `async`.\n\n**New mechanism**: A new module `src/middlewared/middlewared/plugins/zfs/encryption.py` is introduced containing four free functions (`load_key`, `check_key`, `change_key`, `change_encryption_root`) that operate directly on `truenas_pylibzfs` objects via a thread-local `tls.lzh` handle. These functions are called inline (no subprocess) from the same thread that holds the job or method. The `@pass_thread_local_storage` decorator is added to every consuming method to inject the `tls` argument, and each consuming method is converted from `async def` to synchronous `def` (with `await self.middleware.call(...)` replaced by `self.middleware.call_sync(...)`).\n\nThe change touches five callers:\n1. `pool_/dataset_encryption_info.py` \u2014 `encryption_summary` and `sync_db_keys` now call `check_key(tls, ...)` directly instead of dispatching a `bulk_process` job.\n2. `pool_/dataset_encryption_lock.py` \u2014 `unlock` now calls `load_key(tls, ...)` directly.\n3. `pool_/dataset_encryption_operations.py` \u2014 `change_key` and `inherit_parent_encryption_properties` now call `change_key(tls, ...)` and `change_encryption_root(tls, ...)` directly; `insert_or_update_encrypted_record` is also converted from `async` to sync.\n4. `kmip/zfs_keys.py` \u2014 `push_zfs_keys` and `pull_zfs_keys` now call `check_key(tls, ...)` directly with `@pass_thread_local_storage`.\n5. `api/v26_0_0/pool.py` and `api/v26_0_0/pool_dataset.py` \u2014 `pbkdf2iters` minimum/default raised from 350,000 to 1,300,000 for both `PoolCreateEncryptionOptions` and `PoolDatasetChangeKeyOptions`; a `from_previous` classmethod is added to clamp old values to the new minimum when migrating from prior API versions.\n\nThe deleted file `zfs_/dataset_encryption.py` (112 lines) is fully removed; its `bulk_process` method, subprocess dispatch, and per-call `libzfs.ZFS()` context creation are gone.", "risk_surfaces": [ - "Thread-local storage contract: All encryption functions now require 'tls' parameter injected via @pass_thread_local_storage decorator. Callers that bypass the decorator or call these functions outside the middleware service context will fail. Affected files: dataset_encryption_lock.py:222, dataset_encryption_operations.py:200, dataset_encryption_info.py:107,201, kmip/zfs_keys.py:67,109", - "Exception type changes: New code raises ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException from middlewared.plugins.zfs.exceptions, while old code likely raised different exception types from py-libzfs. Callers catching specific exception types may break. File: middlewared/plugins/zfs/exceptions.py adds these new exception classes", - "Key format handling: RAW keys are hex-encoded when stored in database but must be converted back to bytes before calling check_key(). The conversion happens in multiple places (dataset_encryption_info.py:103-104, dataset_encryption_lock.py:178-182) - any inconsistency in encoding/decoding will cause key validation failures", - "Error code mapping: ZFSException from truenas_pylibzfs uses ZFSError enum (EZFS_CRYPTOFAILED, EZFS_NOENT). Code in dataset_encryption_lock.py:223-228 checks e.code == ZFSError.EZFS_CRYPTOFAILED - if error codes differ between old and new library, error handling logic will fail", - "Concurrent access: The path_in_locked_datasets() method is marked as 'EXTREMELY hot code path' (dataset_encryption_info.py:237). Changing from process pool to direct library calls may have different concurrency characteristics under high load", - "Process pool removal: The PR removes a process pool use case. If other parts of the system depend on serialization through the process pool for ZFS operations, concurrent ZFS operations could now race in ways they didn't before", - "KMIP key caching: kmip/zfs_keys.py uses self.zfs_keys in-memory cache (line 18) which persists across calls. With faster direct library calls, race conditions between cache updates and key validation could manifest differently", - "Raw key validation: check_key() returns False on EZFS_CRYPTOFAILED but raises on other errors. If truenas_pylibzfs behavior differs from py-libzfs for edge cases (malformed keys, permission errors), error propagation changes" + "EXCEPTION CONTRACT CHANGE \u2014 load_key: The old `zfs.dataset.load_key` wrapped all `libzfs.ZFSException` in `CallError` and logged before raising. The new `load_key` in `zfs/encryption.py` raises `ZFSNotEncryptedException` or `ZFSKeyAlreadyLoadedException` for those pre-checks, then calls `crypto.load_key(**kwargs)` which propagates raw `truenas_pylibzfs.ZFSException` directly. In `dataset_encryption_lock.py:222-228`, the `unlock` method catches `ZFSException` (checking `e.code == ZFSError.EZFS_CRYPTOFAILED`) and bare `Exception`, so the raw `ZFSException` from `crypto.load_key()` is still caught. However, `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` are plain `Exception` subclasses with no `code` attribute \u2014 they will be caught by the bare `except Exception` branch and surfaced as a string error rather than the typed `CallError` the old code would have produced. Callers expecting a `CallError` (e.g. the WebSocket client) would previously get a structured error; now they get a raw exception string.", + "EXCEPTION CONTRACT CHANGE \u2014 check_key: Old `zfs.dataset.check_key` raised `CallError` on any `libzfs.ZFSException` (including wrong-key scenarios). The new `check_key` raises `ZFSNotEncryptedException` for non-encrypted datasets but returns `False` for `EZFS_CRYPTOFAILED` (per docstring). In `encryption_summary` (line 106-109) and `sync_db_keys` (line 200-203), both sites wrap `check_key` in `except Exception: valid_key/should_remove = False/True`, so the behavior is preserved for the happy path. However, there is no guard against passing `key=None` to `crypto.check_key()`. In `encryption_summary`, `ds_key` can be `None` if `ds['encryption_key']` is `None` and no key was supplied by the user \u2014 `check_key(tls, name, key=None)` would pass `key=None` as a kwarg into `crypto.check_key(key=None)`. The behavior of `truenas_pylibzfs`'s `check_key(key=None)` is not visible in this repo; if it does not accept `None`, an exception is raised and silently swallowed to `valid_key = False`, which is the same end result as before \u2014 but relying on an exception catch to cover this is fragile.", + "BULK PROCESS REMOVED \u2014 error aggregation semantics: The old `sync_db_keys` called `zfs.dataset.bulk_process('check_key', [...])` which processed all datasets, accumulated per-dataset errors in `status['error']`, and only aborted if the job itself errored. The new code wraps the entire loop in a single `try/except Exception` (line 208-210). If any unexpected exception escapes the inner `try/except Exception` at line 200-203 (which seems impossible in current code but is a structural fragility), the outer handler will abort the entire loop and return early without processing remaining datasets. The old code continued on a per-dataset error and then separately checked `check_key_job.error` for the job-level error. The new outer catch at line 208-210 logging `f'Failed to sync database keys: {exc}'` uses an f-string without `exc_info=True`, losing the stack trace.", + "ASYNC-TO-SYNC CONVERSION \u2014 insert_or_update_encrypted_record: This method changed from `async def` to `def`. Its callers in `dataset_encryption_lock.py` (`unlock`) and `dataset_encryption_operations.py` (`change_key`) are also sync, so the immediate callers are fine. However, if any other caller invokes this as `await self.middleware.call('pool.dataset.insert_or_update_encrypted_record', ...)` from an async context, it will still work through the middleware dispatch layer. The concern is whether any external caller relied on this being co-routine-safe. No external callers are visible in the diff, but this should be verified.", + "DECORATOR ORDERING \u2014 @pass_thread_local_storage with @job: In `encryption_summary` and `sync_db_keys`, the decorator order is `@pass_thread_local_storage` above `@job`. The `tls` argument is injected between `self/job` and the user-visible arguments (`id_`, `options`, `name`). If the `@job` decorator wraps the function and then `@pass_thread_local_storage` wraps that, the positional argument order seen by the actual function body is `(self, job, tls, id_, options)`. This pattern matches how `unlock` was already written (`def unlock(self, job, tls, id_, options)`), so it appears intentional. But `sync_db_keys` has `lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}'` \u2014 the `args` lambda receives the job's original positional args. If `tls` is now injected before `name`, the lock key computation could change. Verify that the `args` lambda in `@job` sees the pre-`tls`-injection argument list.", + "change_key \u2014 load_key parameter removed: The old `zfs.dataset.change_key` accepted a `load_key` boolean (always passed as `False` from the calling site). The new `change_key` in `zfs/encryption.py` does not accept or pass `load_key` at all to `crypto.change_key(info=config)`. If `truenas_pylibzfs`'s `crypto.change_key` has a different default for whether it reloads the key, the behavior could diverge from the old code's explicit `load_key=False`.", + "change_key \u2014 props/key argument shape: The old code called `ds.change_key(props=options['encryption_properties'], load_key=False, key=options['key'])` with `props` as a dict. The new `change_key` builds a `props` dict from `EncryptionProperties`, calls `tls.lzh.resource_cryptography_config(**props)` to get a config object, then passes `info=config` to `crypto.change_key`. The `resource_cryptography_config` API (defined in `truenas_pylibzfs`) must accept the same property names (`keyformat`, `keylocation`, `pbkdf2iters`, `key`). If `truenas_pylibzfs` rejects unknown property names or has different semantics for `pbkdf2iters=None` (the TypedDict marks it as `int | None`), key-change operations could fail silently or raise.", + "change_encryption_root \u2014 ZFSKeyFormat comparison bug fix: In the old code (line in diff): `if ZFSKeyFormat(parent_encrypted_root['key_format']['value']) == ZFSKeyFormat.PASSPHRASE.value:` \u2014 this compared a `ZFSKeyFormat` enum member to a string (`.value`), which would always be `False`. The new code: `if parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:` \u2014 correctly compares two strings. This is a behavioral change: the passphrase-key-children guard in `inherit_parent_encryption_properties` was previously never enforced (always skipped) and will now be enforced. This is a semantics fix, but it is an undocumented behavior change that could break workflows where users inherited encryption roots from passphrase-encrypted parents that had key-encrypted children.", + "pbkdf2iters default increase \u2014 from_previous migration: `PoolCreateEncryptionOptions` and `PoolDatasetChangeKeyOptions` in `api/v26_0_0` raise the minimum from 100,000 to 1,300,000 and the default from 350,000 to 1,300,000. The `from_previous` classmethod clamps existing values upward with `max(1300000, value['pbkdf2iters'])`. This means any existing dataset or pool that was created with pbkdf2iters between 100,000 and 1,299,999 will silently have their iteration count upgraded on the next API operation touching these fields. This can cause a significant increase in key-derivation time during unlock. This is a security hardening but is a breaking change for automated scripts that stored or compared pbkdf2iters values.", + "KMIP check_key \u2014 no tls guard: In `kmip/zfs_keys.py`, `push_zfs_keys` and `pull_zfs_keys` now call `check_key(tls, ...)` directly. The `@pass_thread_local_storage` decorator was added to both. However, these are called from `sync_zfs_keys` at lines 138 and 142 as `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)` \u2014 passing `tls` explicitly. If `@pass_thread_local_storage` injects `tls` automatically, passing it explicitly would result in a double injection (`tls` appears twice in the argument list). This is a potential signature mismatch that could cause a `TypeError` at runtime.", + "path_in_locked_datasets \u2014 not in PR scope but adjacent risk: This method in `dataset_encryption_info.py` (lines 216-283) already uses `tls.lzh.open_resource(...)` directly and was not changed by this PR. It is annotated as a hot code path and handles `ZFSException` with EZFS_NOENT and EZFS_INVALIDNAME filtering. This code is architecturally similar to the new functions but was not touched, which is correct. However, reviewers should verify no regression was introduced in how `ZFSException` is imported \u2014 the import at line 9 is `from truenas_pylibzfs import ZFSError, ZFSException`, which is correct." ], "stats": { "files_added": 1, @@ -1082,8 +806,10 @@ "total_files": 9 }, "unrelated_changes": [ - "pool.py: PoolCreateEncryptionOptions.pbkdf2iters default value was updated from implicit default to explicit 1300000 minimum in from_previous() method. This appears unrelated to the py-libzfs to truenas_pylibzfs migration and should be in a separate PR", - "pool_dataset.py: Same pbkdf2iters change in PoolDatasetChangeKeyOptions class. Lines 175-186 contain changes not directly related to encryption method refactoring" + "api/v26_0_0/pool.py and api/v26_0_0/pool_dataset.py \u2014 pbkdf2iters default/minimum raised from 350,000 to 1,300,000 with a `from_previous` migration validator added. This is a security hardening change unrelated to the py-libzfs \u2192 truenas_pylibzfs refactor. The PR description makes no mention of this change.", + "dataset_encryption_operations.py \u2014 The `ZFSKeyFormat` comparison bug fix in `inherit_parent_encryption_properties` (old: compared enum instance to string value, always False; new: compares two strings, now actually enforces the constraint) is a behavioral bug fix bundled into this refactor PR without mention in the PR description.", + "dataset_encryption_info.py sync_db_keys \u2014 The query for `encrypted_roots` was changed to also fetch the `keyformat` property (`'properties': ['encryptionroot', 'keyformat']`) where before it only fetched `encryptionroot`. This is needed for the new hex-key detection logic but represents a query change not mentioned in the PR description.", + "kmip/zfs_keys.py get_encrypted_datasets \u2014 Changed from calling `self.middleware.call_sync('pool.dataset.query', ...)` (old code, visible from context) to using `self.call_sync2(self.s.zfs.resource.query_impl, ZFSResourceQuery(...))` \u2014 an internal implementation-level change that shifts from the high-level dataset query to the low-level ZFS resource query. This may filter or format results differently." ] }, "budget": { @@ -1094,13 +820,13 @@ "coverage": 0, "cross_ref": 0, "intake": 0, + "meta_selectors": 0, "output": 0, - "planning": 0, "review": 0, "synthesis": 0 }, - "max_cost_usd": 10, - "max_duration_seconds": 3600, + "max_cost_usd": 2, + "max_duration_seconds": 900, "total_cost_usd": 0 }, "intake": { @@ -1108,13 +834,13 @@ "areas_touched": [ "api" ], - "complexity": "complex", + "complexity": "standard", "languages": [ "python" ], "pr_summary": "Replace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods. This removes another use case of our process pool.\r\n\r\nDepends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145.", "pr_type": "refactor", - "review_depth": "thorough", + "review_depth": "standard", "risk_signals": [ "changes API surface or request/response behavior" ] @@ -1122,81 +848,32 @@ "phases_completed": [ "intake", "anatomy", - "planning", + "meta_selectors", "review", - "cross_ref", "adversary", + "cross_ref", "coverage", "synthesis", "output" ], "plan": { "ai_adjusted": false, - "cross_ref_hints": [ - "If dimension 1 (Thread-Local Storage) finds callers without proper tls context, AND dimension 2 (Exception Types) finds new exception handling requirements, check if the tls-related exceptions are properly caught and converted at service boundaries.", - "If dimension 3 (Error Code Mapping) finds different ZFSError codes between libraries AND dimension 6 (Process Pool Removal) finds concurrent operations, verify that error handling doesn't introduce race conditions in multi-threaded error recovery paths.", - "If dimension 4 (Key Encoding) finds inconsistencies AND dimension 8 (check_key Errors) finds error propagation changes, ensure that key validation failures don't cause silent authentication bypasses.", - "If dimension 5 (Hot Path Concurrency) finds performance issues AND dimension 7 (KMIP Cache) finds race conditions, check if the combined effect causes cache corruption under high load with concurrent KMIP operations.", - "If dimension 9 (API Changes) finds schema modifications AND dimension 2 (Exception Types) finds new exception classes, verify that new exceptions are properly serialized in API responses and don't cause client parsing errors.", - "If dimension 10 (Resource Cleanup) finds cleanup issues AND dimension 6 (Process Pool Removal) finds lost serialization, verify that resource leaks don't accumulate faster without process pool isolation." - ], + "cross_ref_hints": [], "dimensions": [ { "budget": { - "max_child_spawns": 3, - "max_cost_usd": 0.75, - "max_duration_seconds": 90, - "max_reference_follows": 4 - }, - "context_files": [ - "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" - ], - "id": "dim_1", - "name": "Thread-Local Storage Contract Validation", - "priority": 1, - "review_prompt": "Investigate the new thread-local storage (tls) parameter requirement introduced by the @pass_thread_local_storage decorator. The new encryption functions in middlewared/plugins/zfs/encryption.py now require 'tls' to access the ZFS library handle.\n\nTarget investigation:\n1. Trace all direct callers of load_key(), check_key(), change_key(), and change_encryption_root() from middlewared/plugins/zfs/encryption.py\n2. Verify these callers are methods decorated with @pass_thread_local_storage or are called within a context where tls is available\n3. Check if any callers bypass the decorator or call these functions from non-middleware contexts (background jobs, CLI tools, tests)\n4. Look for any code paths where encryption functions might be called before thread-local storage is initialized\n\nWhat 'correct' looks like:\n- All callers have access to tls through the decorator chain\n- No naked function calls exist outside the middleware service context\n- Error messages clearly indicate when tls is missing\n\nSubtle failures to watch for:\n- Background job runners that don't initialize thread-local storage\n- Unit tests that call encryption methods directly without setting up the decorator chain\n- API endpoints that delegate to helper functions which lose the tls context\n- Async code that switches threads and loses the tls binding", - "target_files": [ - "src/middlewared/middlewared/plugins/zfs/encryption.py", - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py" - ] - }, - { - "budget": { - "max_child_spawns": 3, - "max_cost_usd": 0.75, - "max_duration_seconds": 90, - "max_reference_follows": 4 - }, - "context_files": [ - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", - "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" - ], - "id": "dim_2", - "name": "Exception Type Compatibility", - "priority": 2, - "review_prompt": "Analyze the exception type changes between py-libzfs and truenas_pylibzfs. The new code introduces ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException in middlewared/plugins/zfs/exceptions.py, while the old code likely raised different exception types from py-libzfs.\n\nTarget investigation:\n1. Map all try/except blocks in the changed files that catch ZFS-related exceptions\n2. Compare the old exception types (likely libzfs.ZFSException or similar) with the new ones\n3. Verify that callers in dataset_encryption_lock.py, dataset_encryption_info.py, kmip/zfs_keys.py handle both old and new exception types appropriately\n4. Check if any catch-all exception handlers might mask type changes\n5. Look for exception chaining - does the new code wrap old exceptions or replace them?\n\nWhat 'correct' looks like:\n- Exception hierarchies are preserved or clearly documented\n- Callers catch appropriate exception types for their use case\n- No bare except: clauses hide exception type mismatches\n- Error handling logic responds correctly to new exception types\n\nSubtle failures to watch for:\n- Code that catches specific py-libzfs exception classes that no longer exist\n- Exception type checking using isinstance() that fails with new types\n- String matching on exception messages that may have changed\n- Middleware exception middleware that expects certain exception types for HTTP status codes", - "target_files": [ - "src/middlewared/middlewared/plugins/zfs/exceptions.py", - "src/middlewared/middlewared/plugins/zfs/encryption.py", - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py" - ] - }, - { - "budget": { - "max_child_spawns": 3, - "max_cost_usd": 0.75, - "max_duration_seconds": 90, - "max_reference_follows": 4 + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 }, "context_files": [ "src/middlewared/middlewared/plugins/zfs/exceptions.py" ], - "id": "dim_3", - "name": "Error Code Mapping and ZFSError Handling", - "priority": 3, - "review_prompt": "Verify the error code mapping between py-libzfs and truenas_pylibzfs ZFSError enums. The code in dataset_encryption_lock.py:223-228 specifically checks e.code == ZFSError.EZFS_CRYPTOFAILED. If error codes differ between libraries, error handling logic will silently fail.\n\nTarget investigation:\n1. Compare ZFSError enum values between py-libzfs and truenas_pylibzfs\n2. Trace all code that accesses exception.code or exception errno attributes\n3. Verify error code constants match (EZFS_CRYPTOFAILED, EZFS_NOENT, etc.)\n4. Check how ZFSError is imported and used across all changed files\n5. Look for hardcoded error code values vs. enum references\n\nWhat 'correct' looks like:\n- Error codes are semantically equivalent between libraries\n- All error code comparisons use the ZFSError enum, not magic numbers\n- EZFS_CRYPTOFAILED and EZFS_NOENT map to the same error conditions\n- Error handling branches execute as expected\n\nSubtle failures to watch for:\n- Different numeric values for the same logical error\n- New error codes in truenas_pylibzfs that have no py-libzfs equivalent\n- Error code comparisons that use '==' when they should use a set of codes\n- Cases where exception.code might be None or unset", + "id": "semantic_sem_01", + "name": "Exception contract change in load_key: typed exceptions vs. CallError", + "priority": 10, + "review_prompt": "The old `zfs.dataset.load_key` caught all `libzfs.ZFSException` and re-raised as `CallError`. The new `load_key` in `zfs/encryption.py` raises `ZFSNotEncryptedException` or `ZFSKeyAlreadyLoadedException` (plain `Exception` subclasses with no `code` attribute) for pre-check failures, and lets raw `truenas_pylibzfs.ZFSException` propagate from `crypto.load_key()`. In `dataset_encryption_lock.py`, the `unlock` method catches `ZFSException` (checking `e.code == ZFSError.EZFS_CRYPTOFAILED`) and then a bare `except Exception`. Verify: (1) `ZFSNotEncryptedException` and `ZFSKeyAlreadyLoadedException` \u2014 do they fall through to the bare `except Exception` branch and get surfaced as a raw string error rather than a structured `CallError`? (2) Do any callers of `unlock` (e.g., WebSocket dispatch) depend on receiving a `CallError` with a specific `.errno` or `.errmsg` structure? (3) Are there any paths where the new typed exceptions bypass all error handling and bubble up to the framework uncaught?", "target_files": [ "src/middlewared/middlewared/plugins/zfs/encryption.py", "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py" @@ -1204,96 +881,58 @@ }, { "budget": { - "max_child_spawns": 3, - "max_cost_usd": 0.75, - "max_duration_seconds": 90, + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, "max_reference_follows": 4 }, "context_files": [ "src/middlewared/middlewared/plugins/zfs/encryption.py" ], - "id": "dim_4", - "name": "Raw Key Hex Encoding Consistency", - "priority": 4, - "review_prompt": "Analyze the RAW key hex encoding/decoding logic across all encryption operations. RAW keys are hex-encoded when stored in the database but must be converted back to bytes before calling check_key(). The conversion happens in multiple places and any inconsistency will cause key validation failures.\n\nTarget investigation:\n1. Trace the full key data flow from storage to usage:\n - dataset_encryption_info.py:103-104\n - dataset_encryption_lock.py:178-182\n - kmip/zfs_keys.py key handling\n2. Verify hex encoding/decoding is symmetric (encode -> decode produces original bytes)\n3. Check for cases where keys might be double-encoded or double-decoded\n4. Ensure consistent encoding (uppercase vs lowercase hex, with/without '0x' prefix)\n5. Verify key length validation happens after decoding, not before\n\nWhat 'correct' looks like:\n- Single, consistent encoding scheme throughout the pipeline\n- All database-stored keys decode correctly before ZFS operations\n- Key validation checks the actual bytes length, not hex string length\n- No key transformation happens in multiple places inconsistently\n\nSubtle failures to watch for:\n- Keys stored as hex that get re-encoded before storage (double hex)\n- Keys passed to ZFS that are still in hex string form instead of bytes\n- Mixed encoding schemes (some uppercase, some lowercase)\n- Keys that bypass the encoding layer and cause silent failures", + "id": "mechanical_mech_1", + "name": "KMIP double-injection: @pass_thread_local_storage + explicit tls arg causes TypeError", + "priority": 10, + "review_prompt": "In `kmip/zfs_keys.py`, `push_zfs_keys` and `pull_zfs_keys` have been decorated with `@pass_thread_local_storage`, which automatically injects `tls` as the first argument after `self`. However, their caller `sync_zfs_keys` invokes them as `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)` \u2014 passing `tls` explicitly as a positional argument. If `@pass_thread_local_storage` injects `tls` into the argument list before the call executes, and the caller also passes `tls` explicitly, the function receives `tls` twice: once from the decorator injection and once from the caller. This will produce a `TypeError: push_zfs_keys() got multiple values for argument 'tls'` (or a positional argument count mismatch) at runtime.\n\nYour task:\n1. Read `kmip/zfs_keys.py` in full. Identify the signatures of `push_zfs_keys`, `pull_zfs_keys`, and `sync_zfs_keys`.\n2. Read or infer the implementation of `@pass_thread_local_storage` to understand exactly when and how it injects `tls` \u2014 does it inject before or after the decorated function is called, and does it strip `tls` from the call-site args?\n3. Determine whether `sync_zfs_keys` must be updated to NOT pass `tls` explicitly (because the decorator handles it), or whether the decorator was NOT intended to be added to these methods (and they should instead receive `tls` from their caller).\n4. If a double-injection bug exists, report the exact file and line numbers, the erroneous decorator placement or call-site, and the correct fix.\n5. If no double-injection occurs (e.g., the decorator is a pass-through that does not inject when already present), explain the mechanism that prevents the bug.", "target_files": [ - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" ] }, { "budget": { - "max_child_spawns": 3, - "max_cost_usd": 0.75, - "max_duration_seconds": 90, - "max_reference_follows": 4 - }, - "context_files": [], - "id": "dim_5", - "name": "Hot Code Path Concurrency Characteristics", - "priority": 5, - "review_prompt": "Evaluate the path_in_locked_datasets() method in dataset_encryption_info.py, marked as 'EXTREMELY hot code path' at line 237. The change from process pool to direct library calls may have different concurrency characteristics under high load.\n\nTarget investigation:\n1. Compare the concurrency model: process pool serialization vs. direct library calls\n2. Analyze how the new implementation handles concurrent calls to path_in_locked_datasets()\n3. Check if the ZFS library handle (via tls) has any internal locking or thread-safety guarantees\n4. Trace the call frequency and caller patterns for this hot path\n5. Verify no new race conditions or contention points are introduced\n6. Check if the change affects latency characteristics for this hot path\n\nWhat 'correct' looks like:\n- Concurrent calls don't corrupt internal state\n- Performance is maintained or improved under load\n- No deadlocks introduced by thread-local storage access\n- ZFS library handles are thread-safe or properly isolated\n\nSubtle failures to watch for:\n- Thread contention on shared ZFS handles\n- Performance degradation under high concurrent load\n- Race conditions in the locked_datasets cache\n- Deadlocks between multiple concurrent encryption operations", - "target_files": [ - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", - "src/middlewared/middlewared/plugins/zfs/encryption.py" - ] - }, - { - "budget": { - "max_child_spawns": 3, - "max_cost_usd": 0.75, - "max_duration_seconds": 90, - "max_reference_follows": 4 - }, - "context_files": [], - "id": "dim_6", - "name": "Process Pool Serialization Removal Impact", - "priority": 6, - "review_prompt": "Assess the impact of removing the process pool use case for ZFS operations. The process pool provided implicit serialization and isolation; direct library calls may introduce race conditions in ways the old code avoided.\n\nTarget investigation:\n1. Identify what serialization guarantees the process pool provided (one operation at a time? per-dataset? global?)\n2. Map all ZFS operations that now run directly and their potential interaction points\n3. Check for operations that should not run concurrently (e.g., load_key on same dataset)\n4. Verify no new race conditions between concurrent unlock/lock/change_key operations\n5. Look for any missing synchronization primitives that the process pool provided\n6. Check if other parts of the codebase still use the process pool and might conflict with direct calls\n\nWhat 'correct' looks like:\n- Critical operations are still serialized if they need to be\n- No race conditions between concurrent ZFS modifications\n- Dataset state remains consistent during concurrent operations\n- Direct calls don't interfere with process pool operations elsewhere\n\nSubtle failures to watch for:\n- Multiple concurrent key loads on the same dataset\n- Race between key validation and key change\n- State checks that were atomic in the pool but aren't in direct calls\n- Interaction between direct encryption calls and pool-based ZFS operations elsewhere", - "target_files": [ - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", - "src/middlewared/middlewared/plugins/zfs/encryption.py" - ] - }, - { - "budget": { - "max_child_spawns": 3, - "max_cost_usd": 0.75, - "max_duration_seconds": 90, + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, "max_reference_follows": 4 }, "context_files": [ - "src/middlewared/middlewared/plugins/zfs/encryption.py", "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" ], - "id": "dim_7", - "name": "KMIP In-Memory Key Cache Race Conditions", - "priority": 7, - "review_prompt": "Analyze the KMIP key cache (self.zfs_keys at kmip/zfs_keys.py:18) interaction with the new direct library calls. The in-memory cache persists across calls and with faster direct library calls, race conditions between cache updates and key validation could manifest differently.\n\nTarget investigation:\n1. Trace the self.zfs_keys cache lifecycle and access patterns\n2. Check cache consistency during push_zfs_keys(), pull_zfs_keys(), and sync_zfs_keys()\n3. Verify cache invalidation happens correctly when keys change\n4. Analyze concurrent access to the cache from multiple KMIP operations\n5. Check if the cache could return stale data after direct library operations\n6. Verify thread safety of the cache access (is it shared across threads?)\n\nWhat 'correct' looks like:\n- Cache is invalidated appropriately when keys are modified\n- No stale cache entries returned after key operations\n- Cache operations are thread-safe\n- Cache state matches actual ZFS dataset state\n\nSubtle failures to watch for:\n- Cache returning stale keys after concurrent key changes\n- Race between cache read and ZFS key update\n- Memory leaks from uncleaned cache entries\n- Inconsistent cache state after failed operations", + "id": "mechanical_mech_2", + "name": "Exception contract break: ZFSKeyAlreadyLoadedException / ZFSNotEncryptedException caught by bare except as string, not CallError", + "priority": 9, + "review_prompt": "The new `load_key` function in `zfs/encryption.py` raises `ZFSKeyAlreadyLoadedException` or `ZFSNotEncryptedException` (both plain `Exception` subclasses defined in `zfs/exceptions.py`) as pre-condition guards before calling `crypto.load_key()`. In `dataset_encryption_lock.py`, the `unlock` method catches exceptions in two branches: `except ZFSException as e` (checking `e.code == ZFSError.EZFS_CRYPTOFAILED`) and a bare `except Exception as e`. The new custom exceptions are NOT `ZFSException` subclasses, so they fall into the bare `except Exception` branch and are stringified into the error result \u2014 instead of being raised as a structured `CallError` as the old code did.\n\nYour task:\n1. Read `zfs/exceptions.py` to confirm the class hierarchy of `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException`. Do they inherit from `ZFSException`, `CallError`, or plain `Exception`?\n2. Read `dataset_encryption_lock.py` lines 200\u2013240 (approximate). Trace what happens when each of these two exceptions is raised: which `except` branch catches it, what is placed in the error result (stringified message vs. structured `CallError`), and whether a `CallError` is ever re-raised.\n3. Read `zfs/encryption.py` `load_key` function fully. Confirm it raises these exceptions before calling `crypto.load_key()`.\n4. Determine whether the callers of `unlock` (e.g., the WebSocket API layer) expect a `CallError` with a specific `errno` or just any exception. If `CallError` is expected, the current code is a contract break.\n5. Report all locations where the exception handling must be updated to convert these custom exceptions into `CallError` before they escape to callers, or where the exception class hierarchy must be changed.", "target_files": [ - "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "src/middlewared/middlewared/plugins/zfs/exceptions.py", + "src/middlewared/middlewared/plugins/zfs/encryption.py" ] }, { "budget": { - "max_child_spawns": 3, - "max_cost_usd": 0.75, - "max_duration_seconds": 90, - "max_reference_follows": 4 + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 }, "context_files": [ - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", - "src/middlewared/middlewared/plugins/kmip/zfs_keys.py" + "src/middlewared/middlewared/plugins/zfs/encryption.py" ], - "id": "dim_8", - "name": "Error Propagation in check_key()", + "id": "semantic_sem_03", + "name": "ZFSKeyFormat enum comparison fix silently activates previously dead guard", "priority": 8, - "review_prompt": "Verify the error propagation behavior of check_key() - it returns False on EZFS_CRYPTOFAILED but raises on other errors. If truenas_pylibzfs behavior differs from py-libzfs for edge cases (malformed keys, permission errors), error propagation changes could break callers.\n\nTarget investigation:\n1. Trace the check_key() implementation and its error handling logic\n2. Map all callers of check_key() and their exception handling\n3. Verify that callers expect False return vs. raised exception for each error case\n4. Check edge cases: malformed keys, permission denied, dataset not found, already loaded key\n5. Compare error behavior between py-libzfs check_key() and truenas_pylibzfs version\n6. Look for callers that rely on specific exception types from failed key checks\n\nWhat 'correct' looks like:\n- EZFS_CRYPTOFAILED returns False as expected by callers\n- Other errors raise exceptions that callers catch appropriately\n- Edge cases produce consistent results between old and new implementations\n- No silent failures where exceptions are swallowed unexpectedly\n\nSubtle failures to watch for:\n- Changed exception types for permission errors\n- Different behavior for malformed key formats\n- Silent failures where old code raised but new code returns False\n- Callers that expect exceptions but get False returns", + "review_prompt": "In the old `inherit_parent_encryption_properties` / `change_encryption_root`, the condition `if ZFSKeyFormat(parent_encrypted_root['key_format']['value']) == ZFSKeyFormat.PASSPHRASE.value:` compared a `ZFSKeyFormat` enum instance to a string (`.value`), which always evaluates to `False` in Python due to type-strict `==` semantics. This means the guard that prevents key-encrypted children from inheriting encryption roots from passphrase-encrypted parents was never enforced. The new code uses `if parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:`, a string-to-string comparison that correctly enforces the guard. Verify: (1) Confirm the old code's comparison was indeed always `False` \u2014 that is, no datasets exist in production that relied on this guard being a no-op. (2) What is the exact behavior change for a key-encrypted child dataset whose parent has a passphrase-encrypted root \u2014 will the operation now raise an error, return early, or behave differently in some other way? (3) Is there any documented or tested workflow that previously worked because this guard was silently skipped, and will now fail?", "target_files": [ - "src/middlewared/middlewared/plugins/zfs/encryption.py", - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py" + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" ] }, { @@ -1304,10 +943,10 @@ "max_reference_follows": 3 }, "context_files": [], - "id": "dim_9", - "name": "API Surface Changes", - "priority": 9, - "review_prompt": "Review the API v26_0_0 changes in pool.py and pool_dataset.py to ensure no breaking changes to the request/response schema. Even internal method signature changes can affect the generated API if they alter public method behaviors.\n\nTarget investigation:\n1. Compare the API schemas in pool.py and pool_dataset.py before and after\n2. Check if any method signatures changed that are exposed via @api_method or similar decorators\n3. Verify no new required parameters are added without defaults\n4. Check if return types changed in ways that affect JSON serialization\n5. Look for any changes to encryption-related API models or validators\n6. Ensure error response formats remain compatible\n\nWhat 'correct' looks like:\n- API schemas remain backward compatible\n- No new required fields in request models\n- Response formats unchanged\n- Error responses follow existing patterns\n\nSubtle failures to watch for:\n- Changed default values affecting client behavior\n- New validators rejecting previously valid inputs\n- Different serialization of complex types\n- API version compatibility issues", + "id": "semantic_sem_04", + "name": "pbkdf2iters silent upgrade via from_previous: latency regression and breakage for automation", + "priority": 7, + "review_prompt": "In `api/v26_0_0/pool.py` and `api/v26_0_0/pool_dataset.py`, `PoolCreateEncryptionOptions` and `PoolDatasetChangeKeyOptions` now default `pbkdf2iters` to 1,300,000 (up from 350,000) with a minimum of 1,300,000. The `from_previous` classmethod uses `max(1300000, value['pbkdf2iters'])` to silently clamp old values upward. Verify: (1) Is the `from_previous` migration invoked on read (i.e., for existing dataset API responses) or only on write (i.e., only when the user explicitly submits a key-change operation)? If invoked on write, does the caller receive the upgraded value transparently without being warned? (2) For existing datasets with pbkdf2iters between 100,000 and 1,299,999, will the iteration count be silently changed to 1,300,000 on the next `change_key` call, meaning the encryption parameters of a live dataset change without explicit user intent? (3) On low-power or embedded hardware, does a 3.7x increase in PBKDF2 iterations cause key-derivation to exceed unlock timeouts, potentially making encrypted datasets permanently inaccessible without intervention?", "target_files": [ "src/middlewared/middlewared/api/v26_0_0/pool.py", "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py" @@ -1315,132 +954,133 @@ }, { "budget": { - "max_child_spawns": 3, - "max_cost_usd": 0.75, - "max_duration_seconds": 90, + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, "max_reference_follows": 4 }, "context_files": [ "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", - "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py" + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py" ], - "id": "dim_10", - "name": "Resource Cleanup and Error Recovery", - "priority": 10, - "review_prompt": "Verify that the new direct library calls properly handle resource cleanup and error recovery. The process pool provided implicit resource isolation; direct calls may require explicit cleanup of ZFS handles or dataset references.\n\nTarget investigation:\n1. Check if truenas_pylibzfs requires explicit resource cleanup (handles, references)\n2. Trace error paths to ensure resources are freed on exceptions\n3. Look for potential memory leaks from uncleaned ZFS objects\n4. Verify dataset handles are properly released after operations\n5. Check cleanup behavior in edge cases (partial failures, interrupted operations)\n6. Compare cleanup guarantees between process pool (process exit) and direct calls\n\nWhat 'correct' looks like:\n- All ZFS resources are properly released after use\n- Exception handlers include cleanup logic\n- No resource leaks in error paths\n- Cleanup happens even on unexpected exceptions\n\nSubtle failures to watch for:\n- Leaked ZFS handles accumulating over time\n- Dataset references preventing pool operations\n- Memory leaks from Python objects wrapping C library resources\n- Cleanup code that doesn't run due to exception handling order", + "id": "mechanical_mech_3", + "name": "Decorator ordering: @pass_thread_local_storage above @job \u2014 does @job lambda see pre- or post-tls-injection arg list?", + "priority": 7, + "review_prompt": "In `dataset_encryption_info.py`, `sync_db_keys` uses `@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')` stacked beneath `@pass_thread_local_storage`. The `args` lambda passed to `@job` receives the positional arguments at the time the job dispatch layer captures them. If `@pass_thread_local_storage` is the outer decorator (applied last, wraps the `@job`-decorated function), then `tls` is injected AFTER the `@job` lock-key computation runs \u2014 meaning the lock lambda sees `(name,)` as intended. But if the decorator order means `@job` wraps the already-`tls`-injected function, the lambda would see `(tls, name)` and the lock key would be `sync_encrypted_pool_dataset_keys_(tls_object, 'poolname')`, producing an incorrect and potentially non-unique lock key.\n\nYour task:\n1. Read `dataset_encryption_info.py` to confirm the exact decorator order on `sync_db_keys` (which decorator appears on the line immediately above `def sync_db_keys`).\n2. Find and read the implementation of `@pass_thread_local_storage` to understand its wrapping behavior \u2014 does it wrap the already-decorated function or is it the inner decorator?\n3. Find and read the `@job` decorator implementation to understand when the `lock` lambda is evaluated relative to argument injection by outer decorators.\n4. Determine whether the `lock` lambda in `sync_db_keys` receives `(name,)` or `(tls, name)` at runtime.\n5. If `tls` is visible to the lambda, report the exact file/line and explain why the lock key will be malformed, and what the correct fix is (e.g., swap decorator order, or adjust the lambda to index `args[1]` instead of `args`).", "target_files": [ - "src/middlewared/middlewared/plugins/zfs/encryption.py" + "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py" ] } ], "total_budget": { - "max_child_spawns": 29, - "max_cost_usd": 6.75, - "max_duration_seconds": 810, - "max_reference_follows": 38 + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 } } }, "pr_url": "https://github.com/truenas/middleware/pull/18291", "review": { - "body": "## \ud83d\udd34 PR-AF Review \u2014 **Needs Major Rework**\n\n*Automated multi-agent code review \u00b7 [PR-AF](https://github.com/Agent-Field/agentfield) built with [AgentField](https://github.com/Agent-Field/agentfield)*\n\n> **25 findings** \u00b7 \ud83d\udd34 8 critical \u00b7 \ud83d\udfe0 17 important \u00b7 \ud83d\udd35 0 suggestions \u00b7 \u26aa 0 nitpicks\n\n
\nPR Overview\n\nReplace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods. This removes another use case of our process pool.\r\n\r\nDepends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145.\n\n
\n\n### Key Findings\n\n**25 issue(s) should be addressed before merge:**\n\n- \ud83d\udd34 **Breaking Change: pbkdf2iters minimum and default increased from 350000 to 1300000** (`src/middlewared/middlewared/api/v26_0_0/pool.py:139`) \u2014 The `PoolCreateEncryptionOptions.pbkdf2iters` field has breaking changes that affect API compatibility: 1.\n- \ud83d\udd34 **Breaking Change: PoolDatasetChangeKeyOptions.pbkdf2iters minimum increased to 1300000** (`src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:170`) \u2014 Same critical issue as PoolCreateEncryptionOptions: the `PoolDatasetChangeKeyOptions.pbkdf2iters` field has breaking changes: 1.\n- \ud83d\udd34 **Failover unlock uses different lock namespace than user unlock - allows concurrent operations on same dataset** (`src/middlewared/middlewared/plugins/failover.py:553`) \u2014 The failover service's `unlock_zfs_datasets` method uses job lock `'failover_dataset_unlock'` (line 553), while the user-facing `pool.dataset.unlock` method uses lock `f'dataset_unlock_{args[0]}'` (da\u2026\n- \ud83d\udd34 **Breaking Change: PoolCreateTopologySpecialVdev now allows DRAID types** (`src/middlewared/middlewared/api/v26_0_0/pool.py:180`) \u2014 The `PoolCreateTopologySpecialVdev` type has changed from a restricted model to an alias that includes DRAID types.\n- \ud83d\udd34 **PoolScan model lacks None/null support for required fields** (`src/middlewared/middlewared/api/v26_0_0/pool_scrub.py:108`) \u2014 The **PoolScan** model in v26_0_0 defines all fields as non-nullable (except `end_time`, `pause`, and `total_secs_left`), but the **v25_10_2** dict example shows all fields can be `None`.\n- \ud83d\udd34 **Inconsistent ZFSError comparison pattern may cause silent error handling failure** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:223`) \u2014 The code at lines 223-228 uses a direct comparison pattern `e.code == ZFSError.EZFS_CRYPTOFAILED` which is inconsistent with other files in the codebase.\n- \ud83d\udd34 **TOCTOU Race Condition in push_zfs_keys Cache Access** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:66`) \u2014 The `push_zfs_keys` method contains a Time-of-Check-Time-of-Use (TOCTOU) race condition in the cache validation logic.\n- \ud83d\udd34 **TOCTOU Race Condition in pull_zfs_keys Cache Access** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:108`) \u2014 The `pull_zfs_keys` method has the same TOCTOU pattern as `push_zfs_keys`.\n- \u2026 and 17 more (see All Findings by Severity)\n\n**Files with findings:** `src/middlewared/middlewared/api/v26_0_0/pool.py`, `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py`, `src/middlewared/middlewared/api/v26_0_0/pool_scrub.py`, `src/middlewared/middlewared/plugins/failover.py`, `src/middlewared/middlewared/plugins/kmip/zfs_keys.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py`, `src/middlewared/middlewared/plugins/zfs/encryption.py`, `src/middlewared/middlewared/plugins/zfs/utils.py`\n\n
\nAll Findings by Severity\n\n#### \ud83d\udd34 Critical (8)\n\n- **Breaking Change: pbkdf2iters minimum and default increased from 350000 to 1300000** `src/middlewared/middlewared/api/v26_0_0/pool.py:139`\n- **Breaking Change: PoolDatasetChangeKeyOptions.pbkdf2iters minimum increased to 1300000** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:170`\n- **Failover unlock uses different lock namespace than user unlock - allows concurrent operations on same dataset** `src/middlewared/middlewared/plugins/failover.py:553`\n- **Breaking Change: PoolCreateTopologySpecialVdev now allows DRAID types** `src/middlewared/middlewared/api/v26_0_0/pool.py:180`\n- **PoolScan model lacks None/null support for required fields** `src/middlewared/middlewared/api/v26_0_0/pool_scrub.py:108`\n- **Inconsistent ZFSError comparison pattern may cause silent error handling failure** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:223`\n- **TOCTOU Race Condition in push_zfs_keys Cache Access** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:66`\n- **TOCTOU Race Condition in pull_zfs_keys Cache Access** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:108`\n\n#### \ud83d\udfe0 Important (17)\n\n- **ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException not caught by existing handlers** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:221`\n- **PoolEntry.scan type changed from dict to PoolScan model** `src/middlewared/middlewared/api/v26_0_0/pool.py:55`\n- **TOCTOU race condition in load_key() - key check and load are not atomic** `src/middlewared/middlewared/plugins/zfs/encryption.py:14`\n- **Pool name validation relaxed: removed whitespace restriction** `src/middlewared/middlewared/api/v26_0_0/pool.py:220`\n- **Inconsistent lock namespaces allow concurrent lock/unlock on same dataset** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:31`\n- **change_key and inherit_parent_encryption_properties can run concurrently on same dataset** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:118`\n- **Resource leak in hot code path - dataset lock checking** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:262`\n- **open_resource() utility lacks resource management documentation/context manager** `src/middlewared/middlewared/plugins/zfs/utils.py:123`\n- **PoolDatasetGetQuotaResult return type expanded** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:649`\n- **ZFS resource objects not explicitly cleaned up after encryption operations** `src/middlewared/middlewared/plugins/zfs/encryption.py:29`\n- **Error code mapping between py-libzfs and truenas_pylibzfs not verified** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:220`\n- **Database key sync silently removes keys on ANY ZFS error** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:200`\n- **PoolDatasetCreateArgs discriminator field may break clients** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:540`\n- **Unprotected Cache Access in initialize_zfs_keys** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:164`\n- **Broad exception handling masks non-crypto ZFS errors in check_key()** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:106`\n- **KMIP pull operation adds datasets to 'failed' list for ANY ZFS error** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:104`\n- **Async reset_zfs_key Called Without Cache Lock Protection** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:185`\n\n
\n\n
\nReview Process Details\n\n**Dimensions Analyzed (10):**\n\n- **Thread-Local Storage Contract Validation** \u2014 4 file(s)\n- **Exception Type Compatibility** \u2014 3 file(s)\n- **Error Code Mapping and ZFSError Handling** \u2014 2 file(s)\n- **Raw Key Hex Encoding Consistency** \u2014 3 file(s)\n- **Hot Code Path Concurrency Characteristics** \u2014 2 file(s)\n- **Process Pool Serialization Removal Impact** \u2014 3 file(s)\n- **KMIP In-Memory Key Cache Race Conditions** \u2014 1 file(s)\n- **Error Propagation in check_key()** \u2014 2 file(s)\n- **API Surface Changes** \u2014 2 file(s)\n- **Resource Cleanup and Error Recovery** \u2014 1 file(s)\n\n**Cross-Reference & Adversary Analysis:**\n\n- **8** cross-change interaction(s) detected\n- **20** finding(s) adversarially tested: 4 confirmed, 16 challenged\n\n
\n\n
\nPipeline Stats\n\n| Metric | Value |\n|--------|-------|\n| Duration | 3626.5s |\n| Agent invocations | 17 |\n| Coverage iterations | 0 |\n| Estimated cost | N/A (provider does not report cost) |\n| Budget exhausted | Yes (timeout: 3626s > 3600s limit) |\n| PR type | refactor |\n| Complexity | complex |\n\n
\n\nReview ID: `rev_0ba00e6d6ff2`", + "body": "## \ud83d\udd34 PR-AF Review \u2014 **Changes Required**\n\n*Automated multi-agent code review \u00b7 [PR-AF](https://github.com/Agent-Field/agentfield) built with [AgentField](https://github.com/Agent-Field/agentfield)*\n\n> **14 findings** \u00b7 \ud83d\udd34 2 critical \u00b7 \ud83d\udfe0 9 important \u00b7 \ud83d\udd35 2 suggestions \u00b7 \u26aa 1 nitpicks\n\n
\nPR Overview\n\nReplace usage of the deprecated py-libzfs with truenas_pylibzfs for these private methods. This removes another use case of our process pool.\r\n\r\nDepends on changes made in https://github.com/truenas/truenas_pylibzfs/pull/145.\n\n
\n\n### Key Findings\n\n**11 issue(s) should be addressed before merge:**\n\n- \ud83d\udd34 **zfs_keys cache silently wiped on every push/pull: `k in existing_datasets` checks string in list-of-dicts** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:94`) \u2014 `get_encrypted_datasets` returns a `list` of dataset dicts (each a `dict` with keys `'name'`, `'id'`, `'encryption_key'`, `'kmip_uid'`, etc.).\n- \ud83d\udd34 **Missing `id` argument in `datastore.update` call \u2014 wrong argument count, update never applied to correct row** (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:157`) \u2014 The `datastore.update` API signature is `(table: str, id: int, data: dict)`.\n- \ud83d\udfe0 **Old guard was always False: key-encrypted child under passphrase-root inheritance was never blocked** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:248`) \u2014 **The old comparison was provably always `False`.** In the prior code (`bde8f1de3b`), the guard in `inherit_parent_encryption_properties_impl` read: ```python if ZFSKeyFormat(parent_encrypted_root.k\u2026\n- \ud83d\udfe0 **ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException silently swallowed as string errors instead of structured CallError** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:229`) \u2014 The bare `except Exception as e` branch on line 229 catches `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` (both plain `Exception` subclasses from `zfs/exceptions.py`) and converts them\u2026\n- \ud83d\udfe0 **from_previous fires on write only; legacy API callers have pbkdf2iters silently upgraded to 1,300,000 without any notification** (`src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:183`) \u2014 **`from_previous` is invoked exclusively on incoming write operations (argument upgrade), never on reads (API responses).** The `APIVersionsAdapter` in `legacy_api_method.py` upgrades incoming parame\u2026\n- \ud83d\udfe0 **`sync_db_keys` lock lambda embeds the full args list, causing inconsistent lock keys between periodic and explicit calls** (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:161`) \u2014 The `lock` lambda on `sync_db_keys` uses `args` (the entire raw-arguments list) rather than `args[0]` (the first positional argument, `name`): ```python @job(lock=lambda args: f'sync_encrypted_pool_d\u2026\n- \ud83d\udfe0 **Existing passphrase-encrypted datasets silently re-keyed at 3.7x higher iteration count on next change_key call via any API version** (`src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:175`) \u2014 **Existing datasets with `pbkdf2iters` between 100,000 and 1,299,999 will have their iteration count permanently changed to 1,300,000 on the next `change_key` call, regardless of whether the user expl\u2026\n- \ud83d\udfe0 **Custom ZFS exceptions inherit from plain Exception instead of CallError, breaking structured error propagation across all callers** (`src/middlewared/middlewared/plugins/zfs/exceptions.py:14`) \u2014 `ZFSKeyAlreadyLoadedException` (line 14) and `ZFSNotEncryptedException` (line 20) both inherit directly from `Exception`.\n- \u2026 and 3 more (see All Findings by Severity)\n\n**3 suggestion(s) and style note(s):**\n\n- \ud83d\udd35 No double-injection bug: explicit tls passing is correct for direct calls (`src/middlewared/middlewared/plugins/kmip/zfs_keys.py:138`)\n- \ud83d\udd35 No test covers the newly-enforced rejection path (passphrase root + key-encrypted child roots) (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:248`)\n- \u26aa Original `tls`-injection concern is a false alarm: decorator order is correct and `tls` is never visible to the lock lambda (`src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:158`)\n\n**Files with findings:** `src/middlewared/middlewared/api/v26_0_0/pool.py`, `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py`, `src/middlewared/middlewared/plugins/kmip/zfs_keys.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py`, `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py`, `src/middlewared/middlewared/plugins/zfs/encryption.py`, `src/middlewared/middlewared/plugins/zfs/exceptions.py`\n\n
\nAll Findings by Severity\n\n#### \ud83d\udd34 Critical (2)\n\n- **zfs_keys cache silently wiped on every push/pull: `k in existing_datasets` checks string in list-of-dicts** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:94`\n- **Missing `id` argument in `datastore.update` call \u2014 wrong argument count, update never applied to correct row** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:157`\n\n#### \ud83d\udfe0 Important (9)\n\n- **Old guard was always False: key-encrypted child under passphrase-root inheritance was never blocked** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:248`\n- **ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException silently swallowed as string errors instead of structured CallError** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py:229`\n- **from_previous fires on write only; legacy API callers have pbkdf2iters silently upgraded to 1,300,000 without any notification** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:183`\n- **`sync_db_keys` lock lambda embeds the full args list, causing inconsistent lock keys between periodic and explicit calls** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:161`\n- **Existing passphrase-encrypted datasets silently re-keyed at 3.7x higher iteration count on next change_key call via any API version** `src/middlewared/middlewared/api/v26_0_0/pool_dataset.py:175`\n- **Custom ZFS exceptions inherit from plain Exception instead of CallError, breaking structured error propagation across all callers** `src/middlewared/middlewared/plugins/zfs/exceptions.py:14`\n- **ZFSNotEncryptedException from change_key() propagates as raw Exception to WebSocket API layer \u2014 no CallError wrapping** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:200`\n- **Raw truenas_pylibzfs.ZFSException from crypto.load_key() propagates out of encryption.load_key() undecorated, breaking the old CallError contract for any caller outside unlock** `src/middlewared/middlewared/plugins/zfs/encryption.py:34`\n- **3.7x PBKDF2 iteration increase enforced with no hardware capability check; may cause passphrase unlock timeouts making datasets inaccessible** `src/middlewared/middlewared/api/v26_0_0/pool.py:151`\n\n#### \ud83d\udd35 Suggestion (2)\n\n- **No double-injection bug: explicit tls passing is correct for direct calls** `src/middlewared/middlewared/plugins/kmip/zfs_keys.py:138`\n- **No test covers the newly-enforced rejection path (passphrase root + key-encrypted child roots)** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py:248`\n\n#### \u26aa Nitpick (1)\n\n- **Original `tls`-injection concern is a false alarm: decorator order is correct and `tls` is never visible to the lock lambda** `src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py:158`\n\n
\n\n
\nReview Process Details\n\n**Dimensions Analyzed (6):**\n\n- **Exception contract change in load_key: typed exceptions vs. CallError** \u2014 2 file(s)\n- **KMIP double-injection: @pass_thread_local_storage + explicit tls arg causes TypeError** \u2014 1 file(s)\n- **Exception contract break: ZFSKeyAlreadyLoadedException / ZFSNotEncryptedException caught by bare except as string, not CallError** \u2014 3 file(s)\n- **ZFSKeyFormat enum comparison fix silently activates previously dead guard** \u2014 1 file(s)\n- **pbkdf2iters silent upgrade via from_previous: latency regression and breakage for automation** \u2014 2 file(s)\n- **Decorator ordering: @pass_thread_local_storage above @job \u2014 does @job lambda see pre- or post-tls-injection arg list?** \u2014 1 file(s)\n\n**Meta-Dimension Lenses (3):**\n\n- **Semantic** \u2014 5 dimension(s), 88% coverage confidence\n- **Mechanical** \u2014 3 dimension(s), 87% coverage confidence\n- **Systemic** \u2014 2 dimension(s), 82% coverage confidence\n\n
\n\n
\nPipeline Stats\n\n| Metric | Value |\n|--------|-------|\n| Duration | 1808.7s |\n| Agent invocations | 11 |\n| Coverage iterations | 0 |\n| Estimated cost | N/A (provider does not report cost) |\n| Budget exhausted | Yes (timeout: 1808s > 900s limit) |\n| PR type | refactor |\n| Complexity | standard |\n\n
\n\nReview ID: `rev_07c8d4f2bf5a`", "comments": [ { - "body": "\ud83d\udd34 **[CRITICAL] Breaking Change: pbkdf2iters minimum and default increased from 350000 to 1300000**\n\nThe `PoolCreateEncryptionOptions.pbkdf2iters` field has breaking changes that affect API compatibility:\n\n1. **Default value changed**: `350000` \u2192 `1300000`\n2. **Minimum value changed**: `100000` \u2192 `1300000`\n3. **Impact**: Any API call providing a pbkdf2iters value between 100000 and 1299999 will now fail validation with a `validation_error`.\n\nWhile a `from_previous` migration method was added, it only handles data migration from previous versions and does NOT help with new API calls. Clients that were previously providing values like 350000 (the old default) will now receive validation errors.\n\nThis affects:\n- `pool.create` calls with custom encryption_options\n- Any client code that hardcoded the old default or minimum values\n- Backward compatibility for scripts using the old iteration counts\n\n---\n\n> v25_10_2: pbkdf2iters: int = Field(ge=100000, default=350000)\n> v26_0_0: pbkdf2iters: int = Field(ge=1300000, default=1300000)\n> \n> The from_previous method only handles migration:\n> ```python\n> @classmethod\n> def from_previous(cls, value):\n> value['pbkdf2iters'] = max(1300000, value['pbkdf2iters'])\n> return value\n> ```\n\n**\ud83d\udca1 Suggested Fix**\n\nOption 1: Keep minimum at 100000 but change default to 1300000 for new pools:\n```python\npbkdf2iters: int = Field(ge=100000, default=1300000)\n```\n\nOption 2: Document this breaking change explicitly in API release notes and notify client developers.\n\n---\n*`API v26_0_0 Breaking Changes Review` \u00b7 confidence 95%*", - "line": 139, - "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", + "body": "\ud83d\udfe0 **[IMPORTANT] Old guard was always False: key-encrypted child under passphrase-root inheritance was never blocked**\n\n**The old comparison was provably always `False`.**\n\nIn the prior code (`bde8f1de3b`), the guard in `inherit_parent_encryption_properties_impl` read:\n\n```python\nif ZFSKeyFormat(parent_encrypted_root.key_format.value) == ZFSKeyFormat.PASSPHRASE.value:\n```\n\nThe left-hand side is `ZFSKeyFormat('PASSPHRASE')` \u2014 a `ZFSKeyFormat` enum *instance* \u2014 while the right-hand side is `ZFSKeyFormat.PASSPHRASE.value` \u2014 the raw string `'PASSPHRASE'`. Python's `==` for `Enum` instances does **not** fall back to comparing against the `.value`; an enum member only equals itself (or another member with the same identity), never a plain string. This was verified:\n\n```\nZFSKeyFormat('PASSPHRASE') == 'PASSPHRASE' # \u2192 False, always\n```\n\n**What the guard was supposed to do:** prevent a key-encrypted dataset (`id_`) that has its own key-encrypted child encryption roots from inheriting a passphrase-encrypted parent root. If such a dataset were allowed to inherit, its key-encrypted children would end up under a passphrase root, violating the invariant that passphrase roots cannot have key-encrypted encryption-root descendants.\n\n**Behavioral change introduced by the fix:** The new code uses:\n\n```python\nif parent_encrypted_root['key_format']['value'] == ZFSKeyFormat.PASSPHRASE.value:\n```\n\nThis is a string-to-string comparison (`'PASSPHRASE' == 'PASSPHRASE'`) that evaluates to `True` correctly. For the first time, the inner `any(...)` check that looks for key-encrypted child encryption roots is actually executed, and if any are found, a `CallError` is raised, preventing the operation.\n\n**Concrete scenario now blocked that was previously silently allowed:**\n\n1. Pool `tank` has dataset `tank/passroot` encrypted with a passphrase (encryption root).\n2. Under it, `tank/passroot/keyroot` is a key-encrypted encryption root (HEX format).\n3. Under `keyroot`, `tank/passroot/keyroot/keychild` is *also* a key-encrypted encryption root.\n4. A user calls `pool.dataset.inherit_parent_encryption_properties('tank/passroot/keyroot')`.\n5. **Old code:** guard fires `False`, inner check is skipped, `change_encryption_root` executes. `keyroot` now falls under `passroot`'s passphrase root, but `keychild` remains a separate key-encrypted root under a passphrase root \u2014 an explicitly forbidden structure.\n6. **New code:** guard fires `True`, inner `any()` detects `keychild`, raises `CallError` with a clear message. The operation is rejected.\n\n**Does any existing production workflow depend on the old no-op guard?** The only test exercising `inherit_parent_encryption_properties` (`test_key_encrypted_dataset` at line 404) uses a *hex-key* parent root, so `parent_encrypted_root['key_format']['value'] == 'HEX'`, and the guard evaluates to `False` in both old and new code. That test is unaffected. There is no test covering the now-enforced case (passphrase parent root + key-encrypted child roots), which is the exact gap described below.\n\n---\n\n> Step 1: Old code at `bde8f1de3b` line ~222: `if ZFSKeyFormat(parent_encrypted_root.key_format.value) == ZFSKeyFormat.PASSPHRASE.value:`\n> Step 2: `parent_encrypted_root.key_format.value` is a string, e.g. `'PASSPHRASE'`.\n> Step 3: `ZFSKeyFormat('PASSPHRASE')` constructs `ZFSKeyFormat.PASSPHRASE`, an enum instance.\n> Step 4: `ZFSKeyFormat.PASSPHRASE == 'PASSPHRASE'` \u2192 `False` (Python Enum.__eq__ compares member identity, not value string).\n> Step 5: The `if` body (the `any()` child-root check and potential `raise CallError`) is NEVER reached regardless of input.\n> Step 6: `change_encryption_root` / `zfs.dataset.change_encryption_root` always executes even when the parent root is passphrase-encrypted and the dataset has key-encrypted child roots.\n> Verification: `python3 -c \"from enum import Enum; class E(Enum): P='PASSPHRASE'; print(E('PASSPHRASE') == 'PASSPHRASE')\"` prints `False`.\n\n**\ud83d\udca1 Suggested Fix**\n\nThe fix is correct. The only follow-up needed is a regression test for the newly-enforced path: create a passphrase-encrypted root, a key-encrypted encryption root beneath it, and a second key-encrypted encryption root as a child of that \u2014 then assert that `inherit_parent_encryption_properties` on the middle dataset raises a `CallError`. This ensures the guard remains correct if the code is refactored again.\n\n---\n*`Enum vs String Comparison Bug in Encryption Root Guard` \u00b7 confidence 98%*", + "line": 248, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", "side": "RIGHT" }, { - "body": "\ud83d\udd34 **[CRITICAL] Inconsistent ZFSError comparison pattern may cause silent error handling failure**\n\nThe code at lines 223-228 uses a direct comparison pattern `e.code == ZFSError.EZFS_CRYPTOFAILED` which is inconsistent with other files in the codebase. Most other files use `ZFSError(e.code) == ZFSError.EZFS_*` to convert the integer code to an enum before comparison.\n\nIf `e.code` returns an integer and `ZFSError.EZFS_CRYPTOFAILED` is an enum member (not an IntEnum), this comparison will always return `False` even when the error code matches, causing the error handling logic to silently fail. The invalid key error will not be properly detected, and users will see generic error messages instead of 'Invalid Key'.\n\n**Inconsistent patterns found:**\n- `dataset_encryption_lock.py:224` uses: `e.code == ZFSError.EZFS_CRYPTOFAILED` (DIRECT)\n- `pool_operations.py:124` uses: `e.code == ZFSError.EZFS_NOENT` (DIRECT)\n- `pool_/info.py:111,168` uses: `e.code == ZFSError.EZFS_NOENT` (DIRECT)\n- `pool_/dataset.py:398` uses: `e.code == ZFSError.EZFS_EXISTS` (DIRECT)\n- `dataset_encryption_info.py:265,279` uses: `ZFSError(e.code) == ZFSError.EZFS_*` (CONVERT)\n- `zfs/query_impl.py:75` uses: `ZFSError(e.code) == ZFSError.EZFS_NOENT` (CONVERT)\n- `zfs/snapshot_*.py` files use: `ZFSError(e.code)` pattern (CONVERT)\n\n---\n\n> Code in dataset_encryption_lock.py:223-228:\n> ```python\n> except ZFSException as e:\n> if e.code == ZFSError.EZFS_CRYPTOFAILED:\n> failed[name]['error'] = 'Invalid Key'\n> else:\n> failed[name]['error'] = str(e)\n> ```\n> \n> Contrast with dataset_encryption_info.py:265:\n> ```python\n> except ZFSException as e:\n> if ZFSError(e.code) != ZFSError.EZFS_NOENT:\n> raise\n> ```\n\n**\ud83d\udca1 Suggested Fix**\n\nStandardize on the pattern `ZFSError(e.code) == ZFSError.EZFS_CRYPTOFAILED` for consistency and safety. This explicitly converts the integer code to an enum before comparison, ensuring correct behavior regardless of whether ZFSError is an IntEnum or a regular Enum. Alternatively, verify that truenas_pylibzfs.ZFSError is an IntEnum (which supports direct integer comparison), and if so, standardize on direct comparison for readability - but only if it's confirmed to be an IntEnum.\n\n---\n*`ZFSError Enum Mapping Verification` \u00b7 confidence 85%*", - "line": 223, + "body": "\ud83d\udfe0 **[IMPORTANT] ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException silently swallowed as string errors instead of structured CallError**\n\nThe bare `except Exception as e` branch on line 229 catches `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` (both plain `Exception` subclasses from `zfs/exceptions.py`) and converts them to `failed[name]['error'] = str(e)` \u2014 a raw string embedded in the return value dict.\n\nThis is a contract violation because:\n1. These exceptions are **pre-condition guards** (dataset not encrypted, or key already loaded) that signal programmer/caller errors, not transient ZFS crypto failures. Treating them identically to \"Invalid Key\" hides the actual cause.\n2. The `unlock` API method's structured return `{'unlocked': [...], 'failed': {...}}` will surface these as opaque string errors (e.g. `\"'pool/ds' key is already loaded\"`) with no errno or structured error code, making it impossible for callers to distinguish pre-condition failures from crypto failures.\n3. The old code path (before `load_key` was extracted to `zfs/encryption.py`) presumably raised `CallError` directly \u2014 the refactoring broke this by introducing new exception types without updating the catch sites.\n\nSpecifically:\n- `ZFSKeyAlreadyLoadedException` raised at `encryption.py:33` falls into `except Exception` at `dataset_encryption_lock.py:229`\n- `ZFSNotEncryptedException` raised at `encryption.py:31` similarly falls into `except Exception` at `dataset_encryption_lock.py:229`\n\nNeither is ever re-raised as a `CallError`.\n\n---\n\n> Step 1: `unlock` calls `load_key(tls, name, key=datasets[name]['key'])` at line 222.\n> Step 2: `load_key` in `zfs/encryption.py:31` calls `rsrc.crypto()`, and if it returns `None`, raises `ZFSNotEncryptedException(dataset)` \u2014 a subclass of plain `Exception` (confirmed at `exceptions.py:20`).\n> Step 3: `load_key` at `encryption.py:33` raises `ZFSKeyAlreadyLoadedException(dataset)` if `crypto.info().key_is_loaded` is True \u2014 also a plain `Exception` subclass (`exceptions.py:14`).\n> Step 4: Neither exception is a `ZFSException` subclass (imported from `truenas_pylibzfs`), so the `except ZFSException as e` block at line 223 does NOT catch them.\n> Step 5: They fall through to `except Exception as e` at line 229, where `failed[name]['error'] = str(e)` stores the message string `\"'pool/ds' key is already loaded\"` or `\"'pool/ds' is not encrypted\"` \u2014 no `CallError`, no errno.\n\n**\ud83d\udca1 Suggested Fix**\n\nEither (a) make `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` inherit from `CallError` (with appropriate `errno` values such as `errno.ENOTSUP` for not-encrypted and `errno.EEXIST` for already-loaded), OR (b) add an explicit catch before the bare `except Exception` block:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n\ntry:\n load_key(tls, name, key=datasets[name]['key'])\nexcept ZFSKeyAlreadyLoadedException:\n # Key already loaded means dataset is effectively unlocked; treat as success or specific error\n failed[name]['error'] = 'Key is already loaded'\n continue\nexcept ZFSNotEncryptedException:\n failed[name]['error'] = 'Dataset is not encrypted'\n continue\nexcept ZFSException as e:\n ...\nexcept Exception as e:\n failed[name]['error'] = str(e)\n continue\n```\nOption (a) is cleaner and ensures these exceptions carry structured error information everywhere they propagate.\n\n---\n*`Exception Handling Contract` \u00b7 confidence 95%*", + "line": 229, "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", "side": "RIGHT" }, { - "body": "\ud83d\udd34 **[CRITICAL] TOCTOU Race Condition in push_zfs_keys Cache Access**\n\nThe `push_zfs_keys` method contains a Time-of-Check-Time-of-Use (TOCTOU) race condition in the cache validation logic. At lines 66-67, the code checks `ds['name'] in self.zfs_keys` and then immediately uses `self.zfs_keys[ds['name']]` in the `check_key()` call. Between these two operations, another thread could modify or delete the cache entry via `reset_zfs_key()`, `update_zfs_keys()`, or `clear_sync_pending_zfs_keys()`. With faster direct library calls, this race window is smaller but still exploitable under concurrent load. Additionally, at line 78, the cache is updated with `self.zfs_keys[ds['name']] = ds['encryption_key']` BEFORE the database is updated at line 93. If the `_register_secret_data()` call at line 86 fails, the cache holds a key that was never successfully registered with the KMIP server, leading to cache/database inconsistency.\n\n---\n\n> Step 1: Thread A checks `ds['name'] in self.zfs_keys` at line 66 (returns True).\n> Step 2: Thread B calls `reset_zfs_key(dataset=ds['name'])` which executes `self.zfs_keys.pop(dataset, None)` at line 186.\n> Step 3: Thread A attempts `check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])` at line 67.\n> Step 4: KeyError is raised because Thread B removed the entry, OR a stale key is validated that no longer matches the KMIP server state.\n\n**\ud83d\udca1 Suggested Fix**\n\nUse a threading.Lock to protect all `self.zfs_keys` access. For the compound check-then-use pattern, lock the entire block. Additionally, defer cache updates until after successful KMIP operations and database persistence - only update the cache after line 93 confirms the database update succeeded.\n\n---\n*`KMIP Key Cache Race Conditions` \u00b7 confidence 95%*", - "line": 66, - "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "body": "\ud83d\udfe0 **[IMPORTANT] from_previous fires on write only; legacy API callers have pbkdf2iters silently upgraded to 1,300,000 without any notification**\n\n**`from_previous` is invoked exclusively on incoming write operations (argument upgrade), never on reads (API responses).**\n\nThe `APIVersionsAdapter` in `legacy_api_method.py` upgrades incoming parameters from an older API version to the current version via `_adapt_params`, which calls `adapter.adapt(params_dict, model_name, self.api_version, self.adapter.current_version)`. Because `version1_index < version2_index` the direction resolves to `Direction.UPGRADE`, triggering `new_model.from_previous(value)` at `version.py:233`.\n\nConversely, `_dump_result` adapts the **result** from `current_version` back to `api_version` (downgrade direction), which calls `to_previous`. Neither `PoolDatasetChangeKeyOptions` nor `PoolCreateEncryptionOptions` define `to_previous`, so outgoing responses are never touched.\n\n**Practical impact:** An automation client or script pinned to API v25.x that deliberately submits `pbkdf2iters=350000` (valid under `ge=100000` in v25.10.x) will have that value silently overwritten to `1300000` by `from_previous` before the `change_key` handler executes. The caller receives `{\"result\": null}` \u2014 the standard success response for `PoolDatasetChangeKeyResult` \u2014 with no indication that a different iteration count was actually applied to ZFS.\n\nNote: `pbkdf2iters` is only forwarded to the ZFS layer when `passphrase_key_format=True` (plugin line 114), so this affects only passphrase-encrypted datasets. For raw-hex keyed datasets `pbkdf2iters` is excluded from `opts` entirely and no iteration count is stored.\n\n---\n\n> Step 1: Client on API v25.10.2 calls `pool.dataset.change_key` with `options={\"pbkdf2iters\": 350000, \"passphrase\": \"mypass\"}`. Old model allows this: `pbkdf2iters: int = Field(default=350000, ge=100000)` (v25_10_2/pool_dataset.py:175).\n> Step 2: `LegacyAPIMethod.call()` (legacy_api_method.py:60) calls `_adapt_params()` \u2192 `adapter.adapt(params_dict, 'PoolDatasetChangeKeyArgs', 'v25.10.2', 'v26.0.0')`.\n> Step 3: `adapt_model` computes `version1_index < version2_index` \u2192 `direction = Direction.UPGRADE`.\n> Step 4: `_adapt_value` on `PoolDatasetChangeKeyArgs` calls `_adapt_nested_value` on the `options` field because both versions define a model named `PoolDatasetChangeKeyOptions`; this triggers a recursive `_adapt_value` call.\n> Step 5: At the end of the nested `_adapt_value`, line 233 of version.py: `value = new_model.from_previous(value)` where `new_model` is v26_0_0's `PoolDatasetChangeKeyOptions`.\n> Step 6: `from_previous` (pool_dataset.py:185) executes `value['pbkdf2iters'] = max(1300000, 350000)` \u2192 `1300000`.\n> Step 7: `change_key` plugin receives `options['pbkdf2iters'] == 1300000`, passes it to `validate_encryption_data` (line 191), which includes it in `opts` because `passphrase_key_format=True` (line 114).\n> Step 8: `zfs/encryption.py::change_key()` permanently stores `pbkdf2iters=1300000` in the dataset's ZFS config.\n> Step 9: `_dump_result` downgrades `{\"result\": null}` \u2014 no clamping info is surfaced.\n\n**\ud83d\udca1 Suggested Fix**\n\nAt minimum, emit a job log warning when `pbkdf2iters` is clamped upward. A job-status message such as `job.set_progress(0, f'Note: pbkdf2iters elevated from submitted value to {options[\"pbkdf2iters\"]}')` would make the override visible to operators. Longer-term, consider returning the effective `pbkdf2iters` in the result payload or adding a `to_previous` on the result model so legacy clients can detect the discrepancy.\n\n---\n*`PBKDF2 Iteration Count Silent Migration` \u00b7 confidence 95%*", + "line": 183, + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", "side": "RIGHT" }, { - "body": "\ud83d\udd34 **[CRITICAL] TOCTOU Race Condition in pull_zfs_keys Cache Access**\n\nThe `pull_zfs_keys` method has the same TOCTOU pattern as `push_zfs_keys`. At lines 108-109, the code checks membership in `self.zfs_keys` and then validates the key with `check_key()`. However, at line 111, it retrieves `self.zfs_keys[ds['name']]` again. Between the validation at line 109 and the retrieval at line 111, another thread could modify the cache entry. This means the key being assigned to the `key` variable might differ from the key that was validated, potentially assigning an incorrect or stale key to the database update at line 120.\n\n---\n\n> Step 1: Thread A validates `check_key(tls, ds['name'], key=self.zfs_keys[ds['name'])` at line 109 (returns True).\n> Step 2: Thread B calls `push_zfs_keys()` which updates `self.zfs_keys[ds['name']]` at line 78 with a different key value.\n> Step 3: Thread A executes `key = self.zfs_keys[ds['name']]` at line 111, retrieving the NEW key that was NOT validated.\n> Step 4: Database is updated with unvalidated key at line 120, potentially corrupting encryption state.\n\n**\ud83d\udca1 Suggested Fix**\n\nStore the validated key in a local variable immediately after validation to ensure consistency. Use pattern: `cached_key = self.zfs_keys.get(ds['name']); if cached_key and check_key(tls, ds['name'], key=cached_key): key = cached_key`. Protect all cache access with a threading.Lock.\n\n---\n*`KMIP Key Cache Race Conditions` \u00b7 confidence 95%*", - "line": 108, - "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "body": "\ud83d\udfe0 **[IMPORTANT] `sync_db_keys` lock lambda embeds the full args list, causing inconsistent lock keys between periodic and explicit calls**\n\nThe `lock` lambda on `sync_db_keys` uses `args` (the entire raw-arguments list) rather than `args[0]` (the first positional argument, `name`):\n\n```python\n@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')\ndef sync_db_keys(self, job, tls, name=None):\n```\n\nThe `@job` and `@pass_thread_local_storage` decorators are both **pure marker decorators** \u2014 they stamp attributes on the function and return it unchanged. `Job.__init__` stores the raw caller-supplied `params` list as `self.args`, and the lock lambda is evaluated with that list before the job is queued (in `JobsQueue.handle_lock` \u2192 `Job.get_lock_name`). The `tls` object is injected at run time in `Job.__run_body`, well after lock computation, so `tls` is **not** visible to the lambda.\n\nThe real problem is that `name` has a default of `None`. This means:\n\n| Call site | `self.args` passed to lambda | Resulting lock key |\n|---|---|---|\n| Periodic scheduler (no args) | `[]` | `sync_encrypted_pool_dataset_keys_[]` |\n| `call_sync('pool.dataset.sync_db_keys', 'tank')` | `['tank']` | `sync_encrypted_pool_dataset_keys_['tank']` |\n| `call_sync('pool.dataset.sync_db_keys', None)` | `[None]` | `sync_encrypted_pool_dataset_keys_[None]` |\n\nThe periodic invocation produces the key `sync_encrypted_pool_dataset_keys_[]` while an explicit `sync_db_keys(None)` produces `sync_encrypted_pool_dataset_keys_[None]` \u2014 these are **different lock keys**, so the two calls do NOT share a lock and can run concurrently. This defeats the purpose of the lock for the all-datasets sync case.\n\nBy contrast, the `encryption_summary` lock lambda on the same class correctly uses `args[0]`:\n```python\n@job(lock=lambda args: f'encryption_summary_options_{args[0]}', ...)\n```\n\nAdditionally, the lock key includes Python list-repr brackets (e.g., `['tank']`) rather than a clean string like `tank`, making the key non-human-readable and fragile if calling conventions change.\n\n---\n\n> Step 1: `sync_db_keys` is decorated with `@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args}')` at line 161.\n> Step 2: `@job` is a pure marker decorator (`decorators.py:153-166`) \u2014 it sets `fn._job = {'lock': lock, ...}` and returns `fn` unchanged.\n> Step 3: `_call_prepare` in `main.py:880` constructs `Job(self, name, serviceobj, methodobj, params, ...)` where `params` is the raw caller-supplied arguments list.\n> Step 4: `Job.__init__` at `job.py:333` stores `self.args = args` (the `params` parameter passed in).\n> Step 5: `JobsQueue.add` at `job.py:149` calls `self.handle_lock(job)`, which calls `job.get_lock_name()` at `job.py:422`: `lock_name = lock_name(self.args)` \u2014 so the lambda receives the raw `params` list.\n> Step 6: Periodic scheduler calls `sync_db_keys` with zero user arguments \u2192 `params = []` \u2192 lambda receives `[]` \u2192 lock key is `sync_encrypted_pool_dataset_keys_[]`.\n> Step 7: Explicit `call_sync('pool.dataset.sync_db_keys', None)` \u2192 `params = [None]` \u2192 lambda receives `[None]` \u2192 lock key is `sync_encrypted_pool_dataset_keys_[None]`.\n> Step 8: Keys differ \u2192 neither invocation blocks the other \u2192 two full-dataset syncs can run concurrently.\n\n**\ud83d\udca1 Suggested Fix**\n\nChange the lambda to extract only the first argument and normalize `None` to an empty string, mirroring the pattern used by `encryption_summary`:\n\n```python\n@job(lock=lambda args: f'sync_encrypted_pool_dataset_keys_{args[0] if args else \"\"}')\n```\n\nThis ensures:\n- A periodic call (no args) and an explicit `call(..., None)` both produce the same lock key: `sync_encrypted_pool_dataset_keys_None`\n- A call with a specific pool name produces `sync_encrypted_pool_dataset_keys_tank`\n- The key no longer contains list brackets\n\n---\n*`Decorator Order and Lock Key Correctness` \u00b7 confidence 92%*", + "line": 161, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", "side": "RIGHT" }, { - "body": "\ud83d\udfe0 **[IMPORTANT] ZFSKeyAlreadyLoadedException and ZFSNotEncryptedException not caught by existing handlers**\n\nThe `load_key()` function in `encryption.py` raises custom exceptions `ZFSKeyAlreadyLoadedException` (line 33) and `ZFSNotEncryptedException` (line 31) which are plain Python `Exception` subclasses, NOT `truenas_pylibzfs.ZFSException`.\n\n**The problem:** In `dataset_encryption_lock.py:221-231`, the code specifically catches `ZFSException` to handle crypto failures. However, the new custom exceptions will NOT match this handler and fall through to the generic `except Exception` handler at line 229.\n\n**Impact:**\n- `ZFSKeyAlreadyLoadedException`: May indicate a race condition or partial success, but is treated as a generic failure\n- `ZFSNotEncryptedException`: Indicates the dataset is not encrypted (configuration error), but gets recorded as a generic error string without context\n\n---\n\n> Step 1: `load_key()` is called at line 222.\n> Step 2: If key already loaded, `encryption.py:33` raises `ZFSKeyAlreadyLoadedException` (plain Exception subclass).\n> Step 3: The exception does NOT match `ZFSException` at line 223.\n> Step 4: It falls to line 229 `except Exception as e`, recording `failed[name]['error'] = str(e)`.\n> Step 5: The error is treated as a failure even though the key is actually already loaded.\n\n**\ud83d\udca1 Suggested Fix**\n\nImport and handle the new exception types explicitly:\n1. Import `ZFSKeyAlreadyLoadedException` and `ZFSNotEncryptedException` from `middlewared.plugins.zfs.exceptions`\n2. Add specific handlers before the generic Exception handler:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSKeyAlreadyLoadedException, ZFSNotEncryptedException\n\ntry:\n load_key(tls, name, key=datasets[name]['key'])\nexcept ZFSKeyAlreadyLoadedException:\n # Key already loaded - treat as success or log informational message\n unlocked.append(name)\n continue\nexcept ZFSNotEncryptedException:\n failed[name]['error'] = 'Dataset is not encrypted'\n continue\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n failed[name]['error'] = 'Invalid Key'\n else:\n failed[name]['error'] = str(e)\n continue\nexcept Exception as e:\n failed[name]['error'] = str(e)\n continue\n```\n\n---\n*`Exception Type Changes` \u00b7 confidence 90%*", - "line": 221, - "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "body": "\ud83d\udfe0 **[IMPORTANT] Existing passphrase-encrypted datasets silently re-keyed at 3.7x higher iteration count on next change_key call via any API version**\n\n**Existing datasets with `pbkdf2iters` between 100,000 and 1,299,999 will have their iteration count permanently changed to 1,300,000 on the next `change_key` call, regardless of whether the user explicitly requested this change.**\n\nThere are two distinct triggers:\n\n1. **Legacy API client omits `pbkdf2iters`:** The v25.10.x default was 350,000. When a v25.x client calls `change_key` without specifying `pbkdf2iters`, `_adapt_value` fills in the missing field using the **v26.0.0 new default** of `1300000` (version.py:226: `value[key_to_use] = field_info.get_default(call_default_factory=True)`). `from_previous` then sees `max(1300000, 1300000)` which is a no-op \u2014 but the applied value is the new default, not what the user would have expected from their v25.x context.\n\n2. **Legacy API client explicitly submits `pbkdf2iters=350000`:** `from_previous` clamps it to 1,300,000 as described in the companion finding.\n\nIn both cases, `change_key` permanently alters the ZFS dataset property `pbkdf2iters`. Once a dataset is re-keyed at 1,300,000 iterations, every subsequent passphrase-unlock of that dataset (at boot, during HA failover, or via `pool.dataset.unlock`) will run PBKDF2 with 1,300,000 iterations. The user never saw a prompt asking to confirm this change, and the API response `{\"result\": null}` provides no visibility into what iteration count was applied.\n\n**Scope:** Only passphrase-encrypted datasets are affected (line 114 of `dataset_encryption_operations.py` guards `pbkdf2iters` inclusion on `passphrase_key_format=True`). Raw-hex keyed datasets are not affected.\n\n---\n\n> Step 1: User has a passphrase-encrypted dataset with `pbkdf2iters=350000` (set under v25.x).\n> Step 2: User or script calls `pool.dataset.change_key` via v25.x API client without specifying `pbkdf2iters`.\n> Step 3: `_adapt_value` (version.py:224-227) detects `pbkdf2iters` is absent; since the field has a default in v26 (`1300000`), it fills: `value['pbkdf2iters'] = 1300000`.\n> Step 4: `from_previous` is a no-op for `max(1300000, 1300000)`, but the effective value is now 1,300,000 instead of the user's expected 350,000.\n> Step 5: `change_key` plugin line 191 passes `pbkdf2iters: 1300000` to `validate_encryption_data`.\n> Step 6: Since `passphrase_key_format=True`, line 114 includes `pbkdf2iters` in `opts`.\n> Step 7: `zfs/encryption.py::change_key()` writes `pbkdf2iters=1300000` permanently to ZFS.\n> Step 8: API returns `{\"result\": null}` \u2014 no indication the iteration count was elevated.\n\n**\ud83d\udca1 Suggested Fix**\n\nCompare `options['pbkdf2iters']` against the dataset's current stored iteration count before applying the change (available via `ds['pbkdf2iters']['parsed']` from `get_instance_quick`). If the value is being elevated due to the minimum-floor and not due to the user explicitly passing the new value, emit a warning. Consider adding a `pbkdf2iters_effective` field to `PoolDatasetChangeKeyResult` so callers can detect the actual value applied.\n\n---\n*`PBKDF2 Iteration Count Silent Migration` \u00b7 confidence 92%*", + "line": 175, + "path": "src/middlewared/middlewared/api/v26_0_0/pool_dataset.py", "side": "RIGHT" }, { - "body": "\ud83d\udfe0 **[IMPORTANT] TOCTOU race condition in load_key() - key check and load are not atomic**\n\nThe `load_key()` function in `encryption.py` has a classic Time-Of-Check-Time-Of-Use (TOCTOU) race condition. It first checks if the key is already loaded (line 32), then loads it (line 34). These are two separate operations, not atomic.\n\n**Race scenario**:\n1. Thread A calls `load_key('tank/data')`\n2. Thread A checks `crypto.info().key_is_loaded` \u2192 returns False\n3. Context switch to Thread B\n4. Thread B calls `load_key('tank/data')`\n5. Thread B checks `crypto.info().key_is_loaded` \u2192 returns False\n6. Thread B calls `crypto.load_key()` \u2192 succeeds\n7. Context switch back to Thread A\n8. Thread A calls `crypto.load_key()` \u2192 may fail or behave unexpectedly\n\n**Process pool context**: When using the process pool, only one operation could run at a time, preventing this race. With direct library calls and `@pass_thread_local_storage`, multiple threads can execute this code concurrently.\n\n**Impact**: The second load_key call will raise `ZFSKeyAlreadyLoadedException`. While this prevents data corruption, it causes unnecessary failures that didn't occur with the process pool's implicit serialization.\n\n---\n\n> File: encryption.py:32-34 - The check `if crypto.info().key_is_loaded:` and `crypto.load_key(**kwargs)` are separate non-atomic operations.\n> File: dataset_encryption_lock.py:221-222 - `load_key(tls, name, key=datasets[name]['key'])` is called in a loop without dataset-level locking.\n\n**\ud83d\udca1 Suggested Fix**\n\nOption 1: Remove the pre-check and handle 'already loaded' as a non-error case (idempotent behavior).\nOption 2: Add a synchronization primitive (threading.Lock) per dataset to serialize load_key operations on the same dataset.\nOption 3: Rely on higher-level locks (job locks) but ensure they cover all code paths consistently.\n\n---\n*`Process Pool Removal Impact on ZFS Encryption Operations` \u00b7 confidence 90%*", + "body": "\ud83d\udfe0 **[IMPORTANT] Custom ZFS exceptions inherit from plain Exception instead of CallError, breaking structured error propagation across all callers**\n\n`ZFSKeyAlreadyLoadedException` (line 14) and `ZFSNotEncryptedException` (line 20) both inherit directly from `Exception`. This is the root cause of the contract break identified in the other findings.\n\nIn the TrueNAS middleware architecture, user-facing errors are expected to be `CallError` instances (with an `errno` attribute). Any unhandled non-`CallError` exception that escapes a service method is treated as an internal server error by the WebSocket API layer, producing unstructured error responses.\n\nBy making these exceptions plain `Exception` subclasses:\n1. Every call site that calls `load_key()`, `check_key()`, `change_key()`, or `change_encryption_root()` must manually wrap exceptions to convert them to `CallError` \u2014 creating a systemic catch-site gap.\n2. Existing bare `except Exception` handlers (as in `dataset_encryption_lock.py:229`) silently absorb them as string errors with no errno, making them indistinguishable from other failures.\n3. The `.message` attribute is redundant with `str(e)` since `super().__init__(self.message)` already sets the string representation \u2014 the `.message` attribute is never used by any handler.\n\n---\n\n> Step 1: `exceptions.py:14` \u2014 `class ZFSKeyAlreadyLoadedException(Exception)` \u2014 base class is plain `Exception`.\n> Step 2: `exceptions.py:20` \u2014 `class ZFSNotEncryptedException(Exception)` \u2014 base class is plain `Exception`.\n> Step 3: These are imported and raised in `zfs/encryption.py` at lines 31, 33, 58, 88, 105.\n> Step 4: `dataset_encryption_lock.py:229` and `dataset_encryption_operations.py:200,263` are call sites with no conversion to `CallError`.\n> Step 5: The middleware WebSocket error dispatch (not read, but standard TrueNAS architecture) wraps `CallError` into structured JSON error responses with errno codes; plain `Exception` becomes an unstructured internal error.\n\n**\ud83d\udca1 Suggested Fix**\n\nChange the base class of both exceptions to `CallError` with appropriate errno values:\n```python\nfrom middlewared.service.core import CallError # or wherever CallError is importable\nimport errno\n\nclass ZFSKeyAlreadyLoadedException(CallError):\n def __init__(self, path: str):\n super().__init__(f\"{path!r} key is already loaded\", errno=errno.EEXIST)\n\nclass ZFSNotEncryptedException(CallError):\n def __init__(self, path: str):\n super().__init__(f\"{path!r} is not encrypted\", errno=errno.ENOTSUP)\n```\nThis ensures that wherever these exceptions propagate \u2014 through `except Exception`, `except CallError`, or unhandled \u2014 they carry structured error information and are handled correctly by the middleware's error dispatch layer. Note: verify there are no circular import issues between `middlewared.plugins.zfs` and `middlewared.service`; if so, an intermediate base class in `zfs/exceptions.py` may be needed.\n\n---\n*`Exception Handling Contract` \u00b7 confidence 90%*", "line": 14, - "path": "src/middlewared/middlewared/plugins/zfs/encryption.py", + "path": "src/middlewared/middlewared/plugins/zfs/exceptions.py", "side": "RIGHT" }, { - "body": "\ud83d\udfe0 **[IMPORTANT] change_key and inherit_parent_encryption_properties can run concurrently on same dataset**\n\nThe `change_key` operation uses lock `f'dataset_change_key_{args[0]}'` (line 120), while `inherit_parent_encryption_properties` has NO job decorator and thus NO lock (lines 217-218). This allows:\n\n**Race scenario**:\n1. User calls `pool.dataset.change_key('tank/data')` - acquires `'dataset_change_key_tank/data'`\n2. Concurrently, user calls `pool.dataset.inherit_parent_encryption_properties('tank/data')` - no lock required\n3. Both operations run concurrently on the same dataset\n4. Both call `change_key()` and `change_encryption_root()` respectively on the same dataset\n\n**ZFS operation conflict**:\n- `change_key()` calls `crypto.change_key()` in libzfs\n- `change_encryption_root()` calls `crypto.inherit_key()` in libzfs\n- These both modify the dataset's encryption properties and should not run concurrently\n\n**Process pool context**: Previously, the process pool would serialize these operations even without explicit locks. With direct library calls, there's no serialization.\n\n---\n\n> File: dataset_encryption_operations.py:120 - change_key uses `@job(lock=lambda args: f'dataset_change_key_{args[0]}')`.\n> File: dataset_encryption_operations.py:217-218 - inherit_parent_encryption_properties has no @job decorator.\n> File: encryption.py:62-90 and 93-106 - Both operations modify encryption state via libzfs.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a job lock to `inherit_parent_encryption_properties` using the same namespace as `change_key`, or use a unified encryption operation lock per dataset. For example:\n```python\n@job(lock=lambda args: f'dataset_encryption_{args[0]}')\n```\nThis would serialize all encryption-modifying operations on the same dataset.\n\n---\n*`Process Pool Removal Impact on ZFS Encryption Operations` \u00b7 confidence 85%*", - "line": 118, + "body": "\ud83d\udfe0 **[IMPORTANT] ZFSNotEncryptedException from change_key() propagates as raw Exception to WebSocket API layer \u2014 no CallError wrapping**\n\n`dataset_encryption_operations.py:200` calls `change_key(tls, id_, encryption_dict, key)` with no surrounding try/except. The `change_key` function in `zfs/encryption.py:87-88` can raise `ZFSNotEncryptedException` if `rsrc.crypto()` returns `None`.\n\nAlthough the `change_key` method does validate `ds['encrypted']` at line 134 via `verrors.add`, this is a **database/metadata check** \u2014 it does NOT prevent a race condition where the ZFS state diverges from the database (e.g. dataset was recreated between the query and the `change_key` call). If the ZFS layer reports the dataset as unencrypted but the DB still has it marked encrypted, `ZFSNotEncryptedException` will propagate all the way to the WebSocket API layer as an unhandled `Exception`, not a `CallError`.\n\nSimilarly, `change_encryption_root` at `dataset_encryption_operations.py:263` calls `change_encryption_root(tls, id_)` which also raises `ZFSNotEncryptedException` at `encryption.py:104-105` with no catch.\n\n---\n\n> Step 1: `change_key` method in `dataset_encryption_operations.py:200` calls `change_key(tls, id_, encryption_dict, key)` with no try/except.\n> Step 2: `change_key` in `zfs/encryption.py:86-88`: `rsrc = open_resource(tls, dataset); if (crypto := rsrc.crypto()) is None: raise ZFSNotEncryptedException(dataset)`.\n> Step 3: `ZFSNotEncryptedException` inherits from `Exception` (confirmed at `exceptions.py:20`), NOT from `CallError`.\n> Step 4: No catch exists between `encryption.py:88` and the WebSocket layer. The exception propagates as a raw `Exception`.\n> Step 5: The WebSocket API layer expects `CallError` for user-facing error messages with structured errno codes. A raw `Exception` results in an unstructured 500-style error.\n> Same path applies to `change_encryption_root` at `dataset_encryption_operations.py:263` calling `encryption.py:103-105`.\n\n**\ud83d\udca1 Suggested Fix**\n\nWrap the `change_key` and `change_encryption_root` calls with try/except to convert `ZFSNotEncryptedException` (and `ZFSKeyAlreadyLoadedException` if applicable) into `CallError`:\n```python\nfrom middlewared.plugins.zfs.exceptions import ZFSNotEncryptedException\n\ntry:\n change_key(tls, id_, encryption_dict, key)\nexcept ZFSNotEncryptedException as e:\n raise CallError(str(e), errno=errno.ENOTSUP)\n```\nAlternatively, make `ZFSNotEncryptedException` a subclass of `CallError` with a fixed errno so it automatically presents correctly to all callers throughout the codebase.\n\n---\n*`Exception Handling Contract` \u00b7 confidence 82%*", + "line": 200, "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", "side": "RIGHT" }, { - "body": "\ud83d\udfe0 **[IMPORTANT] ZFS resource objects not explicitly cleaned up after encryption operations**\n\nThe `load_key()`, `check_key()`, `change_key()`, and `change_encryption_root()` functions in `encryption.py` open ZFS resources via `open_resource()` but never explicitly release them.\n\n**The Problem:**\n- `open_resource(tls, dataset)` returns a ZFS resource object wrapping a C library handle\n- `rsrc.crypto()` returns a cryptography object with additional native resources\n- Neither object has explicit cleanup (no `.close()`, no context manager, no `try/finally`)\n- In the previous process pool architecture, this was acceptable because the entire process would exit, and the OS would reclaim all resources\n- With direct library calls in long-running threads, these objects persist until Python's garbage collector runs, which may not happen promptly enough\n\n**Resource Leak Scenario:**\n1. A long-running middleware thread calls `load_key()` repeatedly for many datasets\n2. Each call creates native ZFS handles that are not immediately released\n3. ZFS has internal limits on open handles per pool/process\n4. Eventually, operations may fail with `ENOMEM` or `EMFILE` errors\n\n**Recommendation:**\nWrap ZFS resource operations in context managers or use `try/finally` blocks to ensure resources are released immediately after use. Consider implementing a context manager in `open_resource()` or documenting that callers must explicitly close resources.\n\n---\n\n> Step 1: `load_key()` calls `open_resource(tls, dataset)` at line 29, returning a resource handle\n> Step 2: Line 30 calls `rsrc.crypto()`, returning a crypto object\n> Step 3: Lines 31-34 perform operations and may raise exceptions\n> Step 4: No cleanup code exists - both objects rely on Python GC\n> \n> Same pattern in:\n> - `check_key()` (lines 56-59)\n> - `change_key()` (lines 86-90)\n> - `change_encryption_root()` (lines 103-106)\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider modifying the code to explicitly release resources:\n\n```python\ndef load_key(tls: threading.local, dataset: str, **kwargs: str | bytes) -> None:\n if len(kwargs) > 1:\n raise ValueError('Cannot specify both key and key location')\n rsrc = open_resource(tls, dataset)\n try:\n if (crypto := rsrc.crypto()) is None:\n raise ZFSNotEncryptedException(dataset)\n if crypto.info().key_is_loaded:\n raise ZFSKeyAlreadyLoadedException(dataset)\n crypto.load_key(**kwargs)\n finally:\n # Explicitly release the resource\n del rsrc # Or rsrc.close() if the library supports it\n```\n\nAlternatively, wrap `open_resource()` in a context manager:\n\n```python\nfrom contextlib import contextmanager\n\n@contextmanager\ndef zfs_resource(tls, path):\n rsrc = open_resource(tls, path)\n try:\n yield rsrc\n finally:\n # Cleanup code here\n pass\n\n# Usage:\nwith zfs_resource(tls, dataset) as rsrc:\n crypto = rsrc.crypto()\n # ... operations\n```\n\n---\n*`Resource Cleanup and Error Recovery` \u00b7 confidence 75%*", - "line": 29, + "body": "\ud83d\udfe0 **[IMPORTANT] Raw truenas_pylibzfs.ZFSException from crypto.load_key() propagates out of encryption.load_key() undecorated, breaking the old CallError contract for any caller outside unlock**\n\nIn the old `zfs.dataset.load_key` service method, all `libzfs.ZFSException` instances were caught and re-raised as `CallError`. In the new `encryption.py:load_key()`, the call to `crypto.load_key(**kwargs)` at line 34 is **not wrapped in any try/except**.\n\nAny `truenas_pylibzfs.ZFSException` raised by `crypto.load_key()` propagates directly out of `encryption.load_key()` back to its caller with:\n- A `.code` attribute (a `ZFSError` enum value)\n- **No `.errmsg`** or **`.errno`** fields in the `CallError` sense\n- No `CallError` wrapping\n\nFor the `unlock` call path in `dataset_encryption_lock.py`, this is handled correctly: `except ZFSException as e:` at line 223 catches these and processes `EZFS_CRYPTOFAILED` vs. other codes. So the current only caller handles it.\n\nHowever, the **API contract has silently changed**: any other present or future caller of `encryption.load_key()` that expects `CallError` (because the old `zfs.dataset.load_key` always raised `CallError`) will receive raw `ZFSException` instead. If such a caller reaches the WebSocket dispatch layer without intermediate handling, `websocket_app.py:196-207` catches the bare `Exception`, calls `adapt_exception(e)` (which only handles `subprocess.CalledProcessError` \u2014 not `ZFSException`), and falls back to `send_error(message, EINVAL, str(e))`, losing the original ZFS error code entirely and emitting a generic `EINVAL` to the client.\n\n---\n\n> Step 1: `encryption.py:load_key()` calls `crypto.load_key(**kwargs)` at line 34 with no surrounding try/except block.\n> Step 2: `truenas_pylibzfs.ZFSException` is the exception type raised by `crypto.load_key()` on failure (e.g., wrong key \u2192 `EZFS_CRYPTOFAILED`).\n> Step 3: `ZFSException` has a `.code` attribute (a `ZFSError` enum), but no `.errmsg` or `.errno` in the `CallError` sense.\n> Step 4: The old service method `zfs.dataset.load_key` caught all `libzfs.ZFSException` and re-raised as `CallError` \u2014 all callers expected `CallError`.\n> Step 5: A hypothetical new caller of `encryption.load_key()` that does not import `truenas_pylibzfs.ZFSException` and uses only `except CallError` will miss the exception.\n> Step 6: That uncaught `ZFSException` reaches `websocket_app.py:196`, `adapt_exception(e)` returns `None` (only handles `CalledProcessError`), and `send_error(message, EINVAL, str(e))` emits an unstructured `EINVAL` response to the client.\n\n**\ud83d\udca1 Suggested Fix**\n\nEither:\n1. **Document the contract explicitly** in `load_key()`'s docstring: state that it may raise `truenas_pylibzfs.ZFSException` directly (in addition to `ZFSNotEncryptedException` and `ZFSKeyAlreadyLoadedException`), so all callers know they must handle `ZFSException`.\n2. **Convert at the boundary**: wrap `crypto.load_key(**kwargs)` in a try/except that re-raises as a typed domain exception (e.g., add `ZFSLoadKeyException` to `exceptions.py`), so `encryption.py` never leaks `truenas_pylibzfs` types to callers:\n```python\ntry:\n crypto.load_key(**kwargs)\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n raise ZFSInvalidKeyException(dataset) from e\n raise\n```\nOption 2 is the cleaner design: it keeps `truenas_pylibzfs` as an internal implementation detail.\n\n---\n*`Exception Handling and Error Flow` \u00b7 confidence 80%*", + "line": 34, "path": "src/middlewared/middlewared/plugins/zfs/encryption.py", "side": "RIGHT" }, { - "body": "\ud83d\udfe0 **[IMPORTANT] Error code mapping between py-libzfs and truenas_pylibzfs not verified**\n\nThe code checks for `ZFSError.EZFS_CRYPTOFAILED` when a key loading operation fails. However, there is no verification that this error code has the same numeric value between the old `py-libzfs` library and the new `truenas_pylibzfs` library.\n\nIf the numeric values differ between libraries:\n1. Error handling logic will silently fail to catch the expected errors\n2. Users will receive generic error messages instead of specific 'Invalid Key' messages\n3. The unlock operation may report success when it actually failed due to wrong key\n\nAdditionally, if truenas_pylibzfs introduces new error codes that have no py-libzfs equivalent, those error conditions won't be handled.\n\n---\n\n> The code imports ZFSError from truenas_pylibzfs (line 9):\n> ```python\n> from truenas_pylibzfs import ZFSError, ZFSException\n> ```\n> \n> But there's no verification that these error codes match the expected values from the old library. The code at line 224 compares `e.code` directly to `ZFSError.EZFS_CRYPTOFAILED` without knowing if the numeric values are consistent.\n\n**\ud83d\udca1 Suggested Fix**\n\nVerify that EZFS_CRYPTOFAILED and other error codes have the same numeric values between py-libzfs and truenas_pylibzfs. Add a test or validation script that compares the enum values from both libraries. If values differ, create a mapping layer to translate between them.\n\n---\n*`ZFSError Enum Mapping Verification` \u00b7 confidence 75%*", - "line": 220, - "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_lock.py", + "body": "\ud83d\udfe0 **[IMPORTANT] 3.7x PBKDF2 iteration increase enforced with no hardware capability check; may cause passphrase unlock timeouts making datasets inaccessible**\n\n**The 3.7x increase from 350,000 to 1,300,000 PBKDF2 iterations is applied unconditionally with no runtime check for hardware capability. On low-power or embedded hardware, this can cause passphrase-based key derivation to exceed unlock timeouts, making encrypted datasets permanently inaccessible without manual CLI intervention.**\n\nOnce a passphrase-encrypted dataset is re-keyed with `pbkdf2iters=1300000` (whether explicitly or via the silent clamping in `from_previous`), every future unlock attempt runs PBKDF2-SHA256 with 1,300,000 iterations synchronously. On ARM SoCs and Atom-class CPUs common in consumer NAS hardware:\n- At 350,000 iters: typically ~0.5\u20131 second per dataset\n- At 1,300,000 iters: typically ~2\u20134 seconds per dataset\n\nFor pools with multiple passphrase-encrypted datasets that must all unlock at pool import (a common TrueNAS configuration), unlock times multiply linearly. If this occurs during boot under a systemd service timeout, or during HA failover under a failover timeout, the unlock will fail \u2014 and with `ge=1300000` enforced as the hard minimum, there is **no API path** to reduce the iteration count back down without using the ZFS CLI directly (`zfs change-key -o pbkdf2iters=...`).\n\nThe `change_key` plugin (`dataset_encryption_operations.py:118`) does not measure or estimate key derivation time before applying the new iteration count. Neither `PoolCreateEncryptionOptions` nor `PoolDatasetChangeKeyOptions` expose any per-hardware tuning path below the new minimum.\n\nNote: `PoolCreateEncryptionOptions.from_previous` in `pool.py:152` applies the same clamping on pool creation encryption options. For new pool creation this affects the root dataset's initial encryption setup, not just re-keying.\n\n---\n\n> Step 1: Passphrase-encrypted dataset is re-keyed to `pbkdf2iters=1300000` via `change_key` (either explicitly or via silent clamping from `from_previous`).\n> Step 2: `dataset_encryption_operations.py:191` passes `pbkdf2iters: options['pbkdf2iters']` to `validate_encryption_data`.\n> Step 3: `validate_encryption_data` line 114 includes `pbkdf2iters` in `opts` when `passphrase_key_format=True`.\n> Step 4: `zfs/encryption.py::change_key()` line 89 calls `tls.lzh.resource_cryptography_config(**props)` with `pbkdf2iters=1300000`, permanently recording it as a ZFS dataset property.\n> Step 5: On the next pool import or `pool.dataset.unlock`, ZFS runs PBKDF2-SHA256 with 1,300,000 iterations to derive the wrapping key from the passphrase.\n> Step 6: On low-power hardware (e.g., Cortex-A53 at 1.4GHz, ~350k iters/sec for PBKDF2-SHA256), this takes ~3.7 seconds per dataset. With 5 passphrase datasets: ~18.5 seconds total.\n> Step 7: If a systemd or HA failover timeout fires during this window, unlock fails; dataset remains locked.\n> Step 8: The `ge=1300000` constraint on `PoolDatasetChangeKeyOptions` means there is no supported API path to reduce `pbkdf2iters` on an already-re-keyed dataset \u2014 only direct ZFS CLI access can recover.\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider the following mitigations: (1) **Benchmark gate:** Before applying `change_key` with a high `pbkdf2iters`, run a short PBKDF2 benchmark and warn or reject if estimated unlock time exceeds a configurable threshold. (2) **System-wide override:** Allow a `tunable` or system config option to set a lower `pbkdf2iters` ceiling for constrained hardware, overriding the API minimum for that installation. (3) **Recovery documentation:** Explicitly document that `zfs change-key -o pbkdf2iters=` is available as a recovery path if unlock times become prohibitive. (4) **Job warning:** At minimum, have the `change_key` job emit a progress message noting the effective iteration count when it exceeds the old default.\n\n---\n*`PBKDF2 Iteration Count Silent Migration` \u00b7 confidence 75%*", + "line": 151, + "path": "src/middlewared/middlewared/api/v26_0_0/pool.py", "side": "RIGHT" }, { - "body": "\ud83d\udfe0 **[IMPORTANT] Database key sync silently removes keys on ANY ZFS error**\n\nIn `sync_db_keys()`, the `check_key()` call at line 201 is wrapped in a broad `except Exception:` that sets `should_remove = True`. This means database encryption keys will be removed for ANY error - not just invalid keys, but also permission errors, dataset not found, ZFS operational failures, etc.\n\n**Risk scenario:**\n1. Database contains encryption key for dataset 'tank/secure'\n2. ZFS pool becomes temporarily unavailable or permission issue occurs\n3. `check_key()` raises an error (not EZFS_CRYPTOFAILED)\n4. Exception handler catches it and sets `should_remove = True`\n5. Key is removed from database\n6. User can no longer unlock the dataset even when the underlying issue is resolved\n\n**Data loss potential:** This could lead to permanent data loss if the only copy of the encryption key was in the database and it gets erroneously removed due to a transient ZFS error.\n\n---\n\n> Step 1: At dataset_encryption_info.py:200-206:\n> ```python\n> try:\n> should_remove = not check_key(tls, ds_name, key=key)\n> except Exception:\n> should_remove = True\n> \n> if should_remove:\n> to_remove.append(ds_name)\n> ```\n> \n> Step 2: Any exception (permission denied, dataset not found, etc.) results in the key being removed from the database at line 212:\n> `self.middleware.call_sync('pool.dataset.delete_encrypted_datasets_from_db', [['name', 'in', to_remove]])`\n\n**\ud83d\udca1 Suggested Fix**\n\nImplement proper error discrimination:\n1. Only remove keys from database when `check_key()` returns False (EZFS_CRYPTOFAILED)\n2. For other ZFS exceptions, log the error but preserve the database key\n3. Consider adding retry logic or a 'force' flag for maintenance operations\n\nRefactor lines 200-206:\n```python\ntry:\n key_valid = check_key(tls, ds_name, key=key)\nexcept ZFSNotEncryptedException:\n should_remove = True # Dataset not encrypted, remove stale key\nexcept ZFSException as e:\n if e.code == ZFSError.EZFS_CRYPTOFAILED:\n should_remove = True # Wrong key\n else:\n self.logger.error('ZFS error checking key for %s: %s', ds_name, e)\n continue # Preserve key on operational errors\nelse:\n should_remove = not key_valid\n```\n\n---\n*`check_key Error Propagation Verification` \u00b7 confidence 95%*", - "line": 200, - "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "body": "\ud83d\udd35 **[SUGGESTION] No double-injection bug: explicit tls passing is correct for direct calls**\n\n`@pass_thread_local_storage` is a **marker-only decorator** \u2014 it sets `fn._pass_thread_local_storage = True` and returns `fn` unchanged (`decorators.py:221-222`). The actual `tls` injection happens only at API dispatch time: in `main.py:862-865` for normal methods and `job.py:620-621` for `@job` methods.\n\nWhen `sync_zfs_keys` calls `self.push_zfs_keys(tls, ids)` and `self.pull_zfs_keys(tls)` directly (lines 138 and 142), these are **plain Python method calls** \u2014 they bypass the middleware dispatch system entirely. The `_pass_thread_local_storage` attribute on `push_zfs_keys` and `pull_zfs_keys` has **no effect** on direct calls. Therefore, `tls` is supplied exactly once by the caller, and the functions receive it correctly.\n\nThe decorators on `push_zfs_keys`/`pull_zfs_keys` are intentional: they allow those methods to be called independently through the middleware dispatch system (e.g., `self.middleware.call_sync('kmip.push_zfs_keys', ...)`) with `tls` injected automatically. The `# type: ignore` comments are consistent with the decorator's type signature hiding `tls` from external callers.\n\n**No double-injection occurs. The code is correct for this pattern.**\n\n---\n\n> Step 1: `pass_thread_local_storage` in `service/decorators.py:209-222` sets `fn._pass_thread_local_storage = True` and returns `fn` unchanged \u2014 no wrapping, no injection at decoration time.\n> Step 2: `main.py:862-865` \u2014 injection only occurs inside `_call_prepare`, which is invoked by the middleware dispatch system, not on direct Python calls.\n> Step 3: `job.py:620-621` \u2014 same: injection only at job run time via `prepend.append(thread_local_storage)`.\n> Step 4: `sync_zfs_keys` at lines 138/142 calls `self.push_zfs_keys(tls, ids)` directly \u2014 this is a plain Python attribute lookup and call, bypassing `_call_prepare` entirely.\n> Step 5: `push_zfs_keys` receives `(self, tls, ids)` \u2014 one `tls` from the caller, zero injected by decorator. Correct.\n\n**\ud83d\udca1 Suggested Fix**\n\nNo change needed for the decorator/injection pattern. The explicit `tls` passing at lines 138 and 142 is correct because these are direct Python method calls, not middleware dispatches.\n\n---\n*`Decorator Double-Injection Analysis` \u00b7 confidence 98%*", + "line": 138, + "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", "side": "RIGHT" }, { - "body": "\ud83d\udfe0 **[IMPORTANT] Broad exception handling masks non-crypto ZFS errors in check_key()**\n\nThe `check_key()` function is documented to return `False` only for `EZFS_CRYPTOFAILED` (wrong key) while raising exceptions for other ZFS errors. However, the caller at line 106-109 uses a broad `except Exception:` handler that treats ALL errors as invalid keys. This masks serious issues like permission errors (EACCES), malformed datasets, or ZFS operational failures that should be propagated to the user.\n\n**The contract vs. implementation mismatch:**\n- `check_key()` docstring (encryption.py:41-43): Raises for errors *other than* EZFS_CRYPTOFAILED\n- Actual caller behavior: Catches ALL exceptions and treats them as `valid_key = False`\n\n**Impact:** Users will see 'Provided key is invalid' when the actual error could be:\n- Permission denied on key file or dataset\n- Dataset not found\n- ZFS pool offline/unavailable\n- Malformed key format\n\nThis violates the principle of least surprise and makes debugging encryption issues significantly harder.\n\n---\n\n> Step 1: `check_key()` docstring at encryption.py:41-43 states:\n> 'Raises ZFSNotEncryptedException if the dataset is not encrypted or if the ZFS operation fails for a reason other than a wrong key (EZFS_CRYPTOFAILED returns False rather than raising)'\n> \n> Step 2: Caller at dataset_encryption_info.py:106-109:\n> ```python\n> try:\n> valid_key = check_key(tls, name, key=ds_key)\n> except Exception:\n> valid_key = False\n> ```\n> \n> Step 3: The broad `except Exception:` catches ALL errors including permission errors, dataset not found, etc., treating them all as 'invalid key'.\n\n**\ud83d\udca1 Suggested Fix**\n\nReplace the broad `except Exception:` with specific exception handling:\n1. Catch `ZFSException` and check `e.code == ZFSError.EZFS_CRYPTOFAILED` \u2192 set `valid_key = False`\n2. Catch `ZFSNotEncryptedException` \u2192 set appropriate error message\n3. Let other ZFS errors propagate or catch and re-raise with context\n\nThis preserves the intended contract where wrong keys return False but operational errors are surfaced to users.\n\n---\n*`check_key Error Propagation Verification` \u00b7 confidence 90%*", - "line": 106, - "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", + "body": "\ud83d\udd35 **[SUGGESTION] No test covers the newly-enforced rejection path (passphrase root + key-encrypted child roots)**\n\nThe only integration test for `inherit_parent_encryption_properties` (`tests/api2/test_pool_dataset_encryption.py:404`) exercises the case where the parent's encryption root uses a **hex key** \u2014 so `parent_encrypted_root['key_format']['value'] == 'HEX'`. The guard evaluates to `False` in both old and new code, meaning this test provides **zero coverage** of the bug fix.\n\nThe case that was silently broken (passphrase-encrypted parent root + key-encrypted child encryption roots under `id_`) has never been tested. Now that the guard works correctly, there is a real behavioral difference: the operation **raises a `CallError`** instead of silently succeeding. Without a test for this path:\n\n1. There is no automated verification that the `CallError` message is correct.\n2. A future refactor could re-introduce the same type-comparison mistake and no test would catch it.\n3. The complementary allowed case \u2014 passphrase parent root, `id_` has *no* key-encrypted child roots \u2014 is also untested; verifying it proceeds successfully is equally important.\n\nThe guard itself (`any(d['name'] == d['encryption_root'] for d in self.middleware.call_sync('pool.dataset.query', [...]))`) is logically sound and the fix is correct, but the absence of test coverage for the enforced path is a gap worth closing.\n\n---\n\n> Only test reference: `tests/api2/test_pool_dataset_encryption.py:404`\n> ```python\n> def test_key_encrypted_dataset(self):\n> # parent uses HEX key\n> payload = {'name': dataset, 'encryption_options': {'key': dataset_token_hex}, ...}\n> call('pool.dataset.create', payload)\n> # child uses PASSPHRASE\n> payload.update({'name': child_dataset, 'encryption_options': {'passphrase': passphrase}})\n> call('pool.dataset.create', payload)\n> # parent_encrypted_root is the HEX-keyed parent -> guard evaluates False in both old and new code\n> call('pool.dataset.inherit_parent_encryption_properties', child_dataset)\n> ds = call('pool.dataset.get_instance', child_dataset)\n> assert ds['key_format']['value'] == 'HEX', ds\n> ```\n> No test exercises the path where `parent_encrypted_root['key_format']['value'] == 'PASSPHRASE'`.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a test case in `tests/api2/test_pool_dataset_encryption.py` that:\n1. Creates a passphrase-encrypted dataset `P` as an encryption root.\n2. Creates `P/K` as a key-encrypted encryption root (child of P).\n3. Creates `P/K/KC` as a second key-encrypted encryption root (grandchild).\n4. Calls `pool.dataset.inherit_parent_encryption_properties('P/K')` and asserts a `ClientException` / `CallError` is raised containing the expected message.\n5. Also tests the allowed sub-case: `P/K` with no key-encrypted child roots successfully inherits from the passphrase root.\n\n---\n*`Enum vs String Comparison Bug in Encryption Root Guard` \u00b7 confidence 95%*", + "line": 248, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_operations.py", "side": "RIGHT" }, { - "body": "\ud83d\udfe0 **[IMPORTANT] KMIP pull operation adds datasets to 'failed' list for ANY ZFS error**\n\nIn `pull_zfs_keys()` at lines 104-118, the `check_key()` call is used to determine whether to use the cached key or retrieve from KMIP. The broad exception handling at line 117 adds the dataset to the `failed` list for ANY error, including:\n- Permission errors (should retry, not fail)\n- Dataset temporarily unavailable (should retry, not fail)\n- Malformed key format (could be a configuration issue)\n\n**The problem:** The dataset gets added to `failed` but the error is only logged at debug level. There's no way for administrators to distinguish between 'key was invalid' vs 'ZFS operation failed'.\n\n---\n\n> Step 1: At kmip/zfs_keys.py:104-118:\n> ```python\n> try:\n> if ds['encryption_key']:\n> key = ds['encryption_key']\n> elif (\n> ds['name'] in self.zfs_keys\n> and check_key(tls, ds['name'], key=self.zfs_keys[ds['name']])\n> ):\n> key = self.zfs_keys[ds['name']]\n> elif connection_successful:\n> with self._connection(...) as conn:\n> key = self._retrieve_secret_data(ds['kmip_uid'], conn)\n> else:\n> raise Exception('Failed to sync dataset')\n> except Exception:\n> failed.append(ds['name'])\n> ```\n> \n> Step 2: Any exception from check_key() (not just EZFS_CRYPTOFAILED) causes the dataset to be added to the failed list.\n\n**\ud83d\udca1 Suggested Fix**\n\nImplement granular error handling to distinguish key validation failures from operational errors:\n1. `EZFS_CRYPTOFAILED` (wrong key) \u2192 add to failed list\n2. `ZFSNotEncryptedException` \u2192 log warning, don't add to failed\n3. Other ZFS errors \u2192 log error with full traceback, add to failed with specific error message\n4. Consider different retry/backoff strategies for transient vs permanent errors\n\n---\n*`check_key Error Propagation Verification` \u00b7 confidence 90%*", - "line": 104, - "path": "src/middlewared/middlewared/plugins/kmip/zfs_keys.py", + "body": "\u26aa **[NITPICK] Original `tls`-injection concern is a false alarm: decorator order is correct and `tls` is never visible to the lock lambda**\n\nThe review prompt raised a concern that if `@pass_thread_local_storage` wraps the `@job`-decorated function, the lock lambda might see `(tls, name)` instead of `(name,)`.\n\nThis concern does **not** apply. Both decorators are pure markers:\n\n```python\n# decorators.py:153-166\ndef check_job(fn):\n fn._job = {'lock': lock, ...}\n return fn # fn is returned unchanged\n\n# decorators.py:221-222\nfn._pass_thread_local_storage = True\nreturn fn # fn is returned unchanged\n```\n\nNeither decorator wraps the function \u2014 they only set attributes. The `tls` object is injected at job run time in `job.py:620-621` inside `Job.__run_body`, well after `get_lock_name()` has already evaluated the lock lambda at queue time. The `Job` object is constructed with `params` (raw caller args), and that is what the lambda sees \u2014 never `tls`.\n\nThe actual decorator stacking requirement is documented in `api/base/decorator.py:53-59`: `@job` must be the innermost (bottommost) decorator, and the current ordering is correct.\n\n---\n\n> Step 1: `@pass_thread_local_storage` at `decorators.py:209-222` sets `fn._pass_thread_local_storage = True` and returns `fn` \u2014 no wrapping.\n> Step 2: `@job` at `decorators.py:153-166` sets `fn._job = {...}` and returns `fn` \u2014 no wrapping.\n> Step 3: `_call_prepare` at `main.py:880` constructs `Job(..., params, job_options, ...)` where `params` is the raw caller args \u2014 `tls` is NOT in this list.\n> Step 4: `tls` injection for jobs occurs in `job.py:620-621` inside `Job.__run_body`, which runs after the job has been queued and the lock key has already been computed.\n> Step 5: `get_lock_name` at `job.py:422` calls `lock_name(self.args)` where `self.args = params` \u2014 the lambda never sees `tls`.\n\n**\ud83d\udca1 Suggested Fix**\n\nNo code change needed for this specific concern. The decorator order is correct and `tls` is never present in the lock lambda's argument list.\n\n---\n*`Decorator Order and Lock Key Correctness` \u00b7 confidence 97%*", + "line": 158, + "path": "src/middlewared/middlewared/plugins/pool_/dataset_encryption_info.py", "side": "RIGHT" } ], "event": "REQUEST_CHANGES" }, - "review_id": "rev_0ba00e6d6ff2", + "review_id": "rev_07c8d4f2bf5a", "summary": { - "adversary_challenged": 16, - "adversary_confirmed": 4, + "adversary_challenged": 0, + "adversary_confirmed": 0, "ai_generated_confidence": 0, "budget_exhausted": true, "by_severity": { - "critical": 8, - "important": 17 + "critical": 2, + "important": 9, + "nitpick": 1, + "suggestion": 2 }, "cost_usd": 0, "coverage_iterations": 0, - "cross_ref_interactions": 8, - "dimensions_run": 10, - "duration_seconds": 3626.527, - "total_findings": 25 + "cross_ref_interactions": 0, + "dimensions_run": 6, + "duration_seconds": 1808.733, + "total_findings": 14 } }, - "started_at": "2026-03-10T07:08:03Z", - "completed_at": "2026-03-10T08:10:49Z", - "duration_ms": 3765986, + "started_at": "2026-03-10T14:41:21Z", + "completed_at": "2026-03-10T15:11:32Z", + "duration_ms": 1811005, "webhook_registered": false } From b1b3b662934e5d015d93c67e5719efc8f09d5199 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 09:11:31 +0530 Subject: [PATCH 07/62] feat: context enrichment pipeline + investigative prompts + Kimi k2.5 benchmark MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Enrich all pipeline phases with full context (diff patches, PR narrative, risk surfaces, blast radius, intake summary, dimension dedup awareness) - Add _write_context_file() for large context → file fallback (.harness reads) - Add _build_file_patches(), _escalate_depth(), _cleanup_context_dir() to orchestrator - Upgrade meta-selector prompts: Investigation Protocol instructs harness to explore repo (browse files, trace callers, check dependencies) not just analyze pre-digested JSON blobs - Add Quality Gate: blocks dimensions generated solely from diff text - Upgrade review_dimension: verify claims against actual code before reporting - Upgrade adversary: must read actual files to verify reviewer claims - Fix Python 3.11 compat: replace nested f-strings with backslashes - Add adaptive depth escalation (quick→standard→deep) based on risk signals - Kimi k2.5 enriched run on PR #254: 25 findings, 8 critical, 16 adversary confirmed, 1994s duration --- .../pr-af-result-kimi-enriched.json | 1267 +++++++++++++++++ .../pr-af-result-sonnet-254.json | 1139 +++++++++++++++ src/pr_af/orchestrator.py | 118 +- src/pr_af/reasoners/harnesses.py | 284 +++- 4 files changed, 2761 insertions(+), 47 deletions(-) create mode 100644 benchmark/agentfield-254/pr-af-result-kimi-enriched.json create mode 100644 benchmark/agentfield-254/pr-af-result-sonnet-254.json diff --git a/benchmark/agentfield-254/pr-af-result-kimi-enriched.json b/benchmark/agentfield-254/pr-af-result-kimi-enriched.json new file mode 100644 index 0000000..1456409 --- /dev/null +++ b/benchmark/agentfield-254/pr-af-result-kimi-enriched.json @@ -0,0 +1,1267 @@ +{ + "findings": [ + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `mergeDBConfig` function claims to merge DB config values but **entire sections of the Config struct are not merged at all**, effectively ignoring user settings stored in the database.\n\n**Missing sections:**\n1. **`AgentField.ExecutionQueue`** (lines 72-78 in config.go): All webhook timeout, retry, and backoff settings are ignored from DB config\n2. **`API.Auth`** (lines 207-212 in config.go): SkipPaths configuration cannot be set from DB\n3. **Most `Features.DID` fields**: Only `Method` is merged; `Enabled`, `KeyAlgorithm`, `DerivationMethod`, `KeyRotationDays`, `VCRequirements`, `Keystore`, and `Authorization` are all ignored\n4. **Most `API.CORS` fields**: Only `AllowedOrigins` is merged; `AllowedMethods`, `AllowedHeaders`, `ExposedHeaders`, `AllowCredentials` are ignored\n5. **Most `NodeHealth` fields**: Only `CheckInterval` is merged; `CheckTimeout`, `ConsecutiveFailures`, `RecoveryDebounce`, `HeartbeatStaleThreshold` are ignored\n\nThis means users who store config in the database expecting to control webhook timeouts, DID authorization policies, CORS settings, or health check parameters will have their settings silently ignored, leading to **configuration drift** between what's stored in DB and what's actually applied.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "merge-logic-completeness", + "dimension_name": "Merge Logic Completeness and Correctness", + "evidence": "Step 1: Config struct at config.go:17-23 shows 5 top-level sections\nStep 2: mergeDBConfig only handles partial subsets:\n - AgentField: Port, partial NodeHealth (only CheckInterval), ExecutionCleanup, Approval, MISSING ExecutionQueue\n - Features: Only DID.Method, intentionally skips Connector\n - API: Only CORS.AllowedOrigins, MISSING Auth entirely\n - UI: Fully merged\n - Storage: Explicitly preserved (correct)\nStep 3: User stores config with ExecutionQueue.WebhookTimeout=30s in DB\nStep 4: mergeDBConfig has no logic for ExecutionQueue - value is silently ignored\nStep 5: Server uses default timeout, user configuration is discarded", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_008", + "line_end": 103, + "line_start": 54, + "score": 1.482, + "severity": "critical", + "suggestion": "Add explicit merge logic for all config fields. For struct fields, either:\n1. Merge field-by-field like ExecutionCleanup, or\n2. Check a sentinel field to determine if the struct was intentionally set\n\nAt minimum, add merge logic for:\n- `AgentField.ExecutionQueue` (all fields)\n- `API.Auth.SkipPaths` (check slice length)\n- All `Features.DID` sub-fields\n- All `API.CORS` fields\n- All `NodeHealth` fields", + "tags": [ + "config", + "merge", + "missing-fields", + "data-loss" + ], + "title": "Multiple Config Sections Completely Missing from Merge Logic" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `MockStorageProvider` in `config_test.go` implements the old `SetConfig` and `GetConfig` method signatures that were changed in this PR. The interface was updated from:\n\n**Old signatures:**\n- `SetConfig(ctx context.Context, key string, value interface{}) error`\n- `GetConfig(ctx context.Context, key string) (interface{}, error)`\n\n**New signatures:**\n- `SetConfig(ctx context.Context, key string, value string, updatedBy string) error`\n- `GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error)`\n- `ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error)`\n- `DeleteConfig(ctx context.Context, key string) error`\n\nThe mock implementation on lines 289-297 still uses the old signatures, meaning this struct no longer satisfies the `StorageProvider` interface. This will cause a **compilation error** when running tests.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "storage-interface-verify", + "dimension_name": "StorageProvider Interface Verification", + "evidence": "Step 1: Interface definition at storage/storage.go:132-136 defines:\n- `SetConfig(ctx context.Context, key string, value string, updatedBy string) error`\n- `GetConfig(ctx context.Context, key string) (*ConfigEntry, error)`\n- `ListConfigs(ctx context.Context) ([]*ConfigEntry, error)`\n- `DeleteConfig(ctx context.Context, key string) error`\n\nStep 2: MockStorageProvider at handlers/ui/config_test.go:289-297 implements:\n- `SetConfig(ctx context.Context, key string, value interface{}) error` (missing updatedBy param, wrong value type)\n- `GetConfig(ctx context.Context, key string) (interface{}, error)` (wrong return type)\n- Missing: `ListConfigs` and `DeleteConfig` methods entirely\n\nStep 3: Go's type system requires interface satisfaction - any code using MockStorageProvider as StorageProvider will fail to compile with 'does not implement' errors.", + "file_path": "control-plane/internal/handlers/ui/config_test.go", + "id": "f_000", + "line_end": 297, + "line_start": 289, + "score": 1.14, + "severity": "critical", + "suggestion": "Update the MockStorageProvider to implement the new interface signatures:\n\n```go\nfunc (m *MockStorageProvider) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n args := m.Called(ctx, key, value, updatedBy)\n return args.Error(0)\n}\n\nfunc (m *MockStorageProvider) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error) {\n args := m.Called(ctx, key)\n if args.Get(0) == nil {\n return nil, args.Error(1)\n }\n return args.Get(0).(*storage.ConfigEntry), args.Error(1)\n}\n\nfunc (m *MockStorageProvider) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n args := m.Called(ctx)\n if args.Get(0) == nil {\n return nil, args.Error(1)\n }\n return args.Get(0).([]*storage.ConfigEntry), args.Error(1)\n}\n\nfunc (m *MockStorageProvider) DeleteConfig(ctx context.Context, key string) error {\n args := m.Called(ctx, key)\n return args.Error(0)\n}\n```", + "tags": [ + "compilation-error", + "interface-mismatch", + "tests", + "mock" + ], + "title": "MockStorageProvider has outdated SetConfig/GetConfig signatures - will cause compilation failure" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `MockStorageProvider` in `execute_test.go` implements the old `SetConfig` and `GetConfig` method signatures that were changed in this PR. The interface was updated from:\n\n**Old signatures:**\n- `SetConfig(ctx context.Context, key string, value interface{}) error`\n- `GetConfig(ctx context.Context, key string) (interface{}, error)`\n\n**New signatures:**\n- `SetConfig(ctx context.Context, key string, value string, updatedBy string) error`\n- `GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error)`\n- `ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error)`\n- `DeleteConfig(ctx context.Context, key string) error`\n\nThe mock implementation on lines 173-178 still uses the old signatures, meaning this struct no longer satisfies the `StorageProvider` interface. This will cause a **compilation error** when running tests.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "storage-interface-verify", + "dimension_name": "StorageProvider Interface Verification", + "evidence": "Step 1: Interface definition at storage/storage.go:132-136 defines:\n- `SetConfig(ctx context.Context, key string, value string, updatedBy string) error`\n- `GetConfig(ctx context.Context, key string) (*ConfigEntry, error)`\n- `ListConfigs(ctx context.Context) ([]*ConfigEntry, error)`\n- `DeleteConfig(ctx context.Context, key string) error`\n\nStep 2: MockStorageProvider at handlers/execute_test.go:173-178 implements:\n- `SetConfig(ctx context.Context, key string, value interface{}) error` (missing updatedBy param, wrong value type)\n- `GetConfig(ctx context.Context, key string) (interface{}, error)` (wrong return type)\n- Missing: `ListConfigs` and `DeleteConfig` methods entirely\n\nStep 3: Go's type system requires interface satisfaction - any code using MockStorageProvider as StorageProvider will fail to compile with 'does not implement' errors.", + "file_path": "control-plane/internal/handlers/execute_test.go", + "id": "f_001", + "line_end": 178, + "line_start": 173, + "score": 1.14, + "severity": "critical", + "suggestion": "Update the MockStorageProvider to implement the new interface signatures:\n\n```go\nfunc (m *MockStorageProvider) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n return nil\n}\n\nfunc (m *MockStorageProvider) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error) {\n return nil, nil\n}\n\nfunc (m *MockStorageProvider) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n return nil, nil\n}\n\nfunc (m *MockStorageProvider) DeleteConfig(ctx context.Context, key string) error {\n return nil\n}\n```", + "tags": [ + "compilation-error", + "interface-mismatch", + "tests", + "mock" + ], + "title": "MockStorageProvider has outdated SetConfig/GetConfig signatures - will cause compilation failure" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The configReloadFn() function accesses and modifies s.config without any mutex protection, yet multiple goroutines throughout server.go read from s.config concurrently.\n\nThe PR description claims configMu.Lock() is acquired during reload (lines 435-442), but NO SUCH MUTEX EXISTS in the codebase. The function directly calls overlayDBConfig(s.config, s.storage) which mutates the config struct in-place via mergeDBConfig().\n\nThis creates a data race:\n- HTTP request handlers read s.config.AgentField.Port, s.config.API.CORS, s.config.Features.DID.Enabled, etc.\n- The reload goroutine (triggered by API call) writes to these same fields\n- No synchronization primitive protects these concurrent accesses\n\nAffected readers include:\n- Route setup code (lines 834-838, 882-893, 913, 919-927, 971)\n- Execute handlers (lines 1246-1247, 1251)\n- Admin routes (lines 1531-1533)\n- DID middleware (lines 890, 1204, 1232)\n- UI routes (lines 1586, 1619)\n\nThis is a critical data race that can cause crashes, memory corruption, or inconsistent config state.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "concurrency-safety-config-reload", + "dimension_name": "Concurrency Safety of Dynamic Config Reload", + "evidence": "Step 1: configReloadFn() at server.go:435-442 returns a closure that calls overlayDBConfig(s.config, s.storage)\nStep 2: overlayDBConfig at config_db.go:19-50 calls mergeDBConfig(cfg, andbCfg) at line 42\nStep 3: mergeDBConfig at config_db.go:54-103 writes directly to target fields like target.AgentField.Port = dbCfg.AgentField.Port (line 57), target.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth (line 60), etc.\nStep 4: Concurrent goroutines in server.go read s.config fields without any mutex (e.g., line 502: s.config.AgentField.Port, line 834: s.config.API.CORS.AllowedOrigins)\nStep 5: No configMu or similar mutex exists in the codebase - verified by grep search\nResult: Unsynchronized concurrent read/write on shared config struct = data race", + "file_path": "control-plane/internal/server/server.go", + "id": "f_021", + "line_end": 442, + "line_start": 435, + "score": 1.14, + "severity": "critical", + "suggestion": "Add a sync.RWMutex field (configMu) to AgentFieldServer struct. Acquire Lock() in configReloadFn() before calling overlayDBConfig, and acquire RLock() in all HTTP handlers that read config. Alternatively, use atomic pointer swap: store config as atomic.Pointer[Config] and swap the entire struct atomically on reload, eliminating need for RLock in readers.", + "tags": [ + "data-race", + "concurrency", + "config", + "mutex-missing" + ], + "title": "Missing Mutex Protection for Config Reload - Data Race on s.config" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The overlayDBConfig function modifies the shared cfg struct in-place through mergeDBConfig, creating race conditions with any concurrent readers.\n\nCritical issue: The function receives a pointer to the server's config struct and directly mutates its fields:\n- Line 42: mergeDBConfig(cfg, andbCfg) - calls merge function\n- Lines 56-102 in mergeDBConfig: Direct field assignments like target.AgentField.Port = dbCfg.AgentField.Port\n\nThe storage section is protected (saved at line 33, restored at line 45), but all other config sections are unprotected during the merge operation.\n\nThis means concurrent readers can observe:\n1. Partially updated config (e.g., Port updated but NodeHealth not yet updated)\n2. Corrupted memory if writes overlap with reads\n3. Inconsistent state between related fields (e.g., DID.Enabled=true but DID.Authorization config not yet applied)", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "concurrency-safety-config-reload", + "dimension_name": "Concurrency Safety of Dynamic Config Reload", + "evidence": "Step 1: overlayDBConfig receives cfg *config.Config parameter at line 19\nStep 2: Only storage config is saved: savedStorage := cfg.Storage at line 33\nStep 3: mergeDBConfig(cfg, andbCfg) at line 42 writes directly to cfg fields\nStep 4: mergeDBConfig lines 56-102 perform direct assignments: target.AgentField.Port = dbCfg.AgentField.Port, target.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth, etc.\nStep 5: Storage is restored at line 45: cfg.Storage = savedStorage\nResult: All non-storage config fields are mutated in-place without atomicity or synchronization", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_022", + "line_end": 50, + "line_start": 19, + "score": 1.14, + "severity": "critical", + "suggestion": "Option 1: Require caller to hold mutex before calling overlayDBConfig (document in function comments). Option 2: Have overlayDBConfig create a deep copy of the config, modify the copy, then atomically swap the pointer (requires config to be stored as atomic.Pointer). Option 3: Protect each config section with its own mutex (more granular but complex).", + "tags": [ + "data-race", + "in-place-mutation", + "config", + "synchronization" + ], + "title": "overlayDBConfig Modifies Config Struct In-Place Without Synchronization" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The SetConfig handler uses io.ReadAll(c.Request.Body) without any size limitation. This allows attackers to send arbitrarily large request bodies, causing memory exhaustion and potential denial of service. The PR diff indicated a maxConfigBodySize constant (1 MB) and io.LimitReader should be used, but the actual implementation is missing this protection. Impact: An attacker with a valid API key can crash the server by uploading multi-gigabyte config files.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-storage-handler-review", + "dimension_name": "Config Storage Handler Implementation Review", + "evidence": "Step 1: Attacker sends PUT /api/v1/configs/agentfield.yaml with a 10GB request body. Step 2: Handler calls io.ReadAll(c.Request.Body). Step 3: io.ReadAll allocates memory proportional to request body size. Step 4: Server runs out of memory and crashes (OOM).", + "file_path": "control-plane/internal/handlers/config_storage.go", + "id": "f_027", + "line_end": 78, + "line_start": 70, + "score": 1.14, + "severity": "critical", + "suggestion": "Add a body size limit using io.LimitReader. Define const maxConfigBodySize = 1 << 20 // 1 MB. Then use body, err := io.ReadAll(io.LimitReader(c.Request.Body, maxConfigBodySize+1)) and check if len(body) > maxConfigBodySize then return http.StatusRequestEntityTooLarge with appropriate error message.", + "tags": [ + "security", + "dos", + "memory-exhaustion", + "missing-validation" + ], + "title": "No request body size limit - potential DoS vulnerability" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `mergeDBConfig()` function at lines 54-103 performs field-by-field merging of DB config into the target config struct. This happens in-place on the shared `s.config` object.\n\n**The Problem:**\n1. If a reader accesses `s.config` during `mergeDBConfig()`, they may see a partially updated config.\n2. For example, if the merge updates `AgentField.Port` first, then gets preempted, a reader might see the new Port but old NodeHealth settings.\n3. This can lead to inconsistent state where different config fields are from different config versions.\n\n**Even worse**, since `configMu` doesn't exist, there's no mutex protection at all. Multiple goroutines can read `s.config` while it's being modified.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "concurrency-safety-config-reload", + "dimension_name": "Concurrency Safety of Dynamic Config Reload", + "evidence": "Step 1: `overlayDBConfig()` at line 42 calls `mergeDBConfig(cfg, &dbCfg)` where `cfg` is `s.config`.\nStep 2: `mergeDBConfig()` modifies fields one-by-one (lines 56-103) without atomicity.\nStep 3: Example: Line 56-58 updates `AgentField.Port`, lines 59-61 update `NodeHealth` - a reader could see new Port but old NodeHealth.\nStep 4: No atomic snapshot or deep copy is performed.\nStep 5: The config struct is modified in-place while other goroutines may be reading it.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_035", + "line_end": 103, + "line_start": 42, + "score": 1.08, + "severity": "critical", + "suggestion": "Use atomic config replacement instead of in-place modification:\n\n```go\nfunc (s *AgentFieldServer) configReloadFn() handlers.ConfigReloadFunc {\n return func() error {\n // Load new config\n newCfg := *s.config // Copy current config\n if err := overlayDBConfig(&newCfg, s.storage); err != nil {\n return err\n }\n // Atomically swap\n s.configMu.Lock()\n s.config = &newCfg\n s.configMu.Unlock()\n return nil\n }\n}\n```\n\nThis ensures readers always see a consistent (if potentially stale) config, never a partially updated one.", + "tags": [ + "concurrency", + "data-race", + "partial-update", + "atomicity", + "critical" + ], + "title": "Partial config visibility during reload - readers can see half-updated config" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The default configuration enables `config_management` capability with `read_only: false`. This grants any connector with a valid token write access to server configuration via the database-backed config storage API. Connectors can modify security-critical settings (API keys, admin tokens, DID authorization settings) without admin privileges. This is inconsistent with other sensitive capabilities like `did_management` which defaults to `enabled: false`.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_0", + "dimension_name": "Config Merge Correctness", + "evidence": "Step 1: agentfield.yaml:149-151 sets `config_management: enabled: true, read_only: false`. Step 2: PR description states connector routes are gated by `config_management` capability check. Step 3: With these defaults, any deployment using the default config exposes write access to configuration. Step 4: Connectors can call PUT/DELETE /api/v1/connector/configs/* to modify server config including auth tokens (lines mentioned in PR context: server.go:1573-1578).", + "file_path": "control-plane/config/agentfield.yaml", + "id": "f_038", + "line_end": 151, + "line_start": 149, + "score": 1.08, + "severity": "critical", + "suggestion": "Change the default to `enabled: false` or at minimum `read_only: true`. This follows the principle of least privilege and prevents unauthorized configuration modifications. Operators who need connector config management can explicitly enable it after reviewing security implications.", + "tags": [ + "security", + "default-values", + "authorization", + "connector" + ], + "title": "Security risk: config_management enabled with write access by default" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `NodeHealth` merge logic at lines 59-61 uses blanket struct assignment when `CheckInterval != 0`:\n\n```go\nif dbCfg.AgentField.NodeHealth.CheckInterval != 0 {\n target.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth\n}\n```\n\n**Problem**: If the DB config only specifies `CheckInterval` but not other fields like `CheckTimeout`, `ConsecutiveFailures`, `RecoveryDebounce`, or `HeartbeatStaleThreshold`, the entire struct is overwritten. This means:\n1. File/env settings for other NodeHealth fields are lost\n2. The zero values from the YAML unmarshal (for unspecified fields) overwrite valid existing values\n\nThis contradicts the function's stated purpose of \"only non-zero/non-empty values from the DB config are applied.\"", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "merge-logic-completeness", + "dimension_name": "Merge Logic Completeness and Correctness", + "evidence": "Step 1: File config has NodeHealth.CheckTimeout=10s, NodeHealth.CheckInterval=5s\nStep 2: DB config only sets CheckInterval=15s (leaving others at Go zero values)\nStep 3: mergeDBConfig checks CheckInterval != 0 (true)\nStep 4: target.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth assigns entire struct\nStep 5: target.AgentField.NodeHealth.CheckTimeout becomes 0 (was 10s), data is lost", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_009", + "line_end": 61, + "line_start": 59, + "score": 0.983, + "severity": "important", + "suggestion": "Change NodeHealth merge to field-by-field approach like ExecutionCleanup:\n```go\nif dbCfg.AgentField.NodeHealth.CheckInterval != 0 {\n target.AgentField.NodeHealth.CheckInterval = dbCfg.AgentField.NodeHealth.CheckInterval\n}\nif dbCfg.AgentField.NodeHealth.CheckTimeout != 0 {\n target.AgentField.NodeHealth.CheckTimeout = dbCfg.AgentField.NodeHealth.CheckTimeout\n}\n// etc for all fields\n```", + "tags": [ + "config", + "merge", + "struct-assignment", + "data-loss" + ], + "title": "NodeHealth Struct Merge Uses Blanket Assignment, Risking Data Loss" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `Features.DID` merge at lines 87-89 only checks if `Method != \"\"` and then does blanket struct assignment:\n\n```go\nif dbCfg.Features.DID.Method != \"\" {\n target.Features.DID = dbCfg.Features.DID\n}\n```\n\n**Problems**:\n1. **Data loss**: Like NodeHealth, this uses blanket assignment, so unspecified fields in DB config overwrite valid file/env settings with zero values\n2. **Cannot set non-Method fields alone**: If a user wants to only change `KeyRotationDays` or `VCRequirements` in DB config without changing `Method`, they cannot - the condition requires Method to be non-empty\n\nThe `DIDConfig` struct (config.go:100-109) has 9 fields, but only `Method` can trigger a merge, and when triggered, all other fields are subject to zero-value overwrite.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "merge-logic-completeness", + "dimension_name": "Merge Logic Completeness and Correctness", + "evidence": "Step 1: File config sets DID.Enabled=true, Method=\"did:key\", KeyRotationDays=90\nStep 2: DB config only sets KeyRotationDays=30 (leaving Method empty)\nStep 3: Condition Method != \"\" evaluates to false\nStep 4: No merge happens, KeyRotationDays remains 90 despite DB having 30\nOR if Method WAS set in DB, entire struct is overwritten, losing file/env settings for unspecified fields", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_012", + "line_end": 89, + "line_start": 87, + "score": 0.983, + "severity": "important", + "suggestion": "Implement field-by-field merge for DIDConfig similar to ExecutionCleanup:\n```go\nif dbCfg.Features.DID.Method != \"\" {\n target.Features.DID.Method = dbCfg.Features.DID.Method\n}\nif dbCfg.Features.DID.KeyAlgorithm != \"\" {\n target.Features.DID.KeyAlgorithm = dbCfg.Features.DID.KeyAlgorithm\n}\n// Handle nested structs like VCRequirements, Keystore, Authorization recursively\n```", + "tags": [ + "config", + "merge", + "struct-assignment", + "missing-fields" + ], + "title": "DIDConfig Merge Only Checks Method Field, Missing All Other DID Settings" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The logic for merging `ExecutionCleanup.Enabled` (lines 79-81) requires at least one other cleanup field to be non-zero:\n\n```go\nif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 || dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n target.AgentField.ExecutionCleanup.Enabled = dbCfg.AgentField.ExecutionCleanup.Enabled\n}\n```\n\n**Problem**: A user who wants to explicitly **disable** cleanup by setting `enabled: false` in the DB config cannot do so unless they also set `retention_period` or `cleanup_interval` to non-zero values. If they only set `enabled: false` (with other fields at 0), the condition fails and `Enabled` is not updated.\n\nThis violates the principle that users should be able to explicitly set boolean flags to their zero value (false) independently of other fields.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "merge-logic-completeness", + "dimension_name": "Merge Logic Completeness and Correctness", + "evidence": "Step 1: File config has ExecutionCleanup.Enabled=true, RetentionPeriod=24h\nStep 2: User wants to disable cleanup, stores DB config with only 'enabled: false'\nStep 3: All duration fields in dbCfg are 0 (not specified)\nStep 4: Condition at line 79 evaluates to false (0 != 0 || 0 != 0)\nStep 5: target.AgentField.ExecutionCleanup.Enabled remains true, user's explicit false is ignored", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_010", + "line_end": 81, + "line_start": 79, + "score": 0.928, + "severity": "important", + "suggestion": "Use a sentinel/presence check pattern for booleans. Options:\n1. Use a `*bool` pointer type to distinguish between 'not set' and 'explicitly false'\n2. Add a comment explaining that to disable cleanup, users must also set a non-zero retention_period\n3. Always merge Enabled if any ExecutionCleanup field is non-zero (broader check)\n\nRecommended fix:\n```go\n// Check if any cleanup field is configured in DB\ncleanupConfigured := dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 ||\n dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 ||\n dbCfg.AgentField.ExecutionCleanup.BatchSize != 0 ||\n dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration != 0 ||\n dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout != 0\nif cleanupConfigured {\n target.AgentField.ExecutionCleanup.Enabled = dbCfg.AgentField.ExecutionCleanup.Enabled\n}\n```", + "tags": [ + "config", + "merge", + "boolean-handling", + "zero-value-ambiguity" + ], + "title": "ExecutionCleanup.Enabled Bool Cannot Be Explicitly Set to false Without Changing Other Fields" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `configReloadFn()` method returns a closure that calls `overlayDBConfig(s.config, s.storage)` without any mutex protection. This creates a data race when the reload endpoint is invoked while background services are reading config values.\n\n**Background services that read config concurrently:**\n- `healthMonitor` - uses `cfg.AgentField.NodeHealth.*` settings (line 160-166)\n- `cleanupService` - uses `cfg.AgentField.ExecutionCleanup.*` settings (line 392)\n- `webhookDispatcher` - uses execution queue settings (line 366-371)\n- `statusManager` - uses heartbeat thresholds (line 133-148)\n\n**The race condition:**\n1. Background goroutines read nested config fields (e.g., `s.config.AgentField.NodeHealth.CheckInterval`)\n2. Hot reload via `POST /api/v1/configs/reload` calls `overlayDBConfig()` which mutates the shared config struct\n3. Go's memory model doesn't guarantee atomicity of struct field writes - readers may see partially updated values\n4. This can cause services to operate with inconsistent configuration\n\n**Note:** While the PR narrative mentions 'Concurrent Config Access' as a known risk, the actual code doesn't implement the necessary synchronization to mitigate it.", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-reload-func-verification", + "dimension_name": "ConfigReloadFunc Type and Usage Verification", + "evidence": "Step 1: `configReloadFn()` is defined at server.go:435-442, returns closure calling `overlayDBConfig(s.config, s.storage)`\nStep 2: `overlayDBConfig()` at config_db.go:19-50 directly mutates `cfg` fields via `mergeDBConfig()`\nStep 3: Background services initialized in NewAgentFieldServer (lines 133-392) store config references and access them concurrently\nStep 4: HTTP handlers invoke the reload function without any synchronization barrier\nStep 5: No mutex is defined in AgentFieldServer struct (lines 48-82)", + "file_path": "control-plane/internal/server/server.go", + "id": "f_016", + "line_end": 442, + "line_start": 435, + "score": 0.819, + "severity": "important", + "suggestion": "Add a `sync.RWMutex` field to `AgentFieldServer` struct to protect config access:\n\n1. Add `configMu sync.RWMutex` to the struct (line 48-82)\n2. In `configReloadFn()`, acquire write lock before calling `overlayDBConfig`:\n ```go\n return func() error {\n s.configMu.Lock()\n defer s.configMu.Unlock()\n return overlayDBConfig(s.config, s.storage)\n }\n ```\n3. Background services should acquire read locks when accessing config, OR config should be accessed through getter methods that acquire read locks", + "tags": [ + "concurrency", + "data-race", + "config-reload", + "mutex" + ], + "title": "Unprotected concurrent config access during hot reload - potential data race" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `HealthMonitor` service is initialized with a `HealthMonitorConfig` struct at lines 160-166. The config values (`CheckInterval`, `CheckTimeout`, `ConsecutiveFailures`, `RecoveryDebounce`) are copied into the service at startup and never updated.\n\nWhen `overlayDBConfig()` reloads config from the database (via the reload API), the health monitor will continue using the stale cached values. This means changes to `NodeHealth` configuration via the DB reload mechanism will NOT take effect until the server is restarted.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "concurrency-safety-config-reload", + "dimension_name": "Concurrency Safety of Dynamic Config Reload", + "evidence": "Step 1: `healthMonitorConfig` is created with values from `cfg.AgentField.NodeHealth` at lines 160-165.\nStep 2: `services.NewHealthMonitor()` receives the config by value (copied), not by reference.\nStep 3: The `HealthMonitor` struct stores `config HealthMonitorConfig` by value (see health_monitor.go:50).\nStep 4: `overlayDBConfig()` at server.go:109 and config_db.go:19-50 can update `AgentField.NodeHealth` values.\nStep 5: No mechanism exists to propagate reloaded config to the already-running HealthMonitor.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_032", + "line_end": 166, + "line_start": 160, + "score": 0.798, + "severity": "important", + "suggestion": "Either document that NodeHealth config changes require a server restart, OR add a `ReloadConfig()` method to HealthMonitor that can be called after config reload, OR have HealthMonitor read from the shared config with proper mutex protection instead of caching values.", + "tags": [ + "concurrency", + "stale-config", + "health-monitor", + "config-reload" + ], + "title": "HealthMonitor caches config values at startup - won't see reloads" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `WebhookDispatcher` is initialized with a `WebhookDispatcherConfig` struct at lines 366-371. The config values (`WebhookTimeout`, `WebhookMaxAttempts`, `WebhookRetryBackoff`, `WebhookMaxRetryBackoff`) are copied into the dispatcher at startup and never updated.\n\nWhen `overlayDBConfig()` reloads config from the database, the webhook dispatcher will continue using the stale cached values. Changes to webhook configuration via DB reload will NOT take effect until server restart.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "concurrency-safety-config-reload", + "dimension_name": "Concurrency Safety of Dynamic Config Reload", + "evidence": "Step 1: `WebhookDispatcherConfig` is created with values from `cfg.AgentField.ExecutionQueue` at lines 367-370.\nStep 2: `services.NewWebhookDispatcher()` receives config by value.\nStep 3: The `webhookDispatcher` struct stores `cfg WebhookDispatcherConfig` by value (see webhook_dispatcher.go:51).\nStep 4: `overlayDBConfig()` can update `AgentField.ExecutionQueue` values.\nStep 5: No mechanism exists to propagate reloaded config to the running WebhookDispatcher.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_033", + "line_end": 375, + "line_start": 366, + "score": 0.798, + "severity": "important", + "suggestion": "Either document that ExecutionQueue config changes require restart, or add a ReloadConfig method to WebhookDispatcher.", + "tags": [ + "concurrency", + "stale-config", + "webhook-dispatcher", + "config-reload" + ], + "title": "WebhookDispatcher caches config values at startup - won't see reloads" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `ExecutionCleanupService` is initialized with `cfg.AgentField.ExecutionCleanup` at line 392. The cleanup config (`RetentionPeriod`, `CleanupInterval`, `BatchSize`, etc.) is copied into the service at startup.\n\nWhen `overlayDBConfig()` reloads config, the cleanup service will continue using the stale cached values. Changes to `ExecutionCleanup` configuration via DB reload will NOT take effect until server restart. The cleanup service runs in a background goroutine (line 476) and uses its cached config for all operations.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "concurrency-safety-config-reload", + "dimension_name": "Concurrency Safety of Dynamic Config Reload", + "evidence": "Step 1: `NewExecutionCleanupService()` receives `cfg.AgentField.ExecutionCleanup` at line 392.\nStep 2: The `ExecutionCleanupService` struct stores `config config.ExecutionCleanupConfig` by value (see execution_cleanup.go:16).\nStep 3: `overlayDBConfig()` at config_db.go:63-81 can update `AgentField.ExecutionCleanup` values.\nStep 4: The cleanup service starts at line 476 and runs independently with cached config.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_034", + "line_end": 392, + "line_start": 392, + "score": 0.798, + "severity": "important", + "suggestion": "Either document that ExecutionCleanup config changes require restart, or add a ReloadConfig method to ExecutionCleanupService.", + "tags": [ + "concurrency", + "stale-config", + "cleanup-service", + "config-reload" + ], + "title": "ExecutionCleanupService caches config values at startup - won't see reloads" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `connectorCapEnvMap` that maps environment variables to connector capabilities does not include the new `config_management` capability. This means the capability can be configured via YAML file but cannot be overridden via environment variables like other capabilities (e.g., `AGENTFIELD_CONNECTOR_CAP_POLICY_MANAGEMENT`). This breaks configuration parity and prevents operators from disabling or restricting config_management via environment variables in containerized deployments.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_0", + "dimension_name": "Config Merge Correctness", + "evidence": "Step 1: Line 333-340 defines `connectorCapEnvMap` with 6 capability mappings. Step 2: Lines 341-355 iterate this map to apply environment overrides. Step 3: The new `config_management` capability added to agentfield.yaml:149-151 is NOT present in this map. Step 4: Setting `AGENTFIELD_CONNECTOR_CAP_CONFIG_MANAGEMENT=readonly` in environment will have no effect, unlike other capabilities.", + "file_path": "control-plane/internal/config/config.go", + "id": "f_037", + "line_end": 340, + "line_start": 333, + "score": 0.798, + "severity": "important", + "suggestion": "Add the `config_management` capability to the `connectorCapEnvMap` with a corresponding environment variable name: `AGENTFIELD_CONNECTOR_CAP_CONFIG_MANAGEMENT`. The entry should map to the capability name `config_management` following the same pattern as other capabilities.", + "tags": [ + "config", + "environment-variables", + "inconsistency", + "connector" + ], + "title": "Missing environment variable override for config_management capability" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "Four background services are initialized with config values at server startup and cache them internally. When config is reloaded via the API, these services continue using the old cached values.\n\nServices affected:\n\n1. webhookDispatcher (lines 366-374):\n - Caches WebhookTimeout, WebhookMaxAttempts, WebhookRetryBackoff, WebhookMaxRetryBackoff\n - Values stored in WebhookDispatcherConfig struct at creation time\n - Reload does NOT update these values\n\n2. observabilityForwarder (lines 377-389):\n - Caches BatchSize, BatchTimeout, HTTPTimeout, MaxAttempts, etc.\n - Values stored in ObservabilityForwarderConfig struct at creation time\n - Has ReloadConfig() method but it only reloads webhook URL from storage, not the forwarder config\n\n3. cleanupService (line 392):\n - Caches ExecutionCleanupConfig (RetentionPeriod, CleanupInterval, BatchSize, etc.)\n - Used in cleanupLoop() which runs indefinitely\n - Reload does NOT update these values\n\n4. healthMonitor (line 166):\n - Caches HealthMonitorConfig (CheckInterval, CheckTimeout, ConsecutiveFailures, etc.)\n - Used in Start() method which runs indefinitely\n - Reload does NOT update these values\n\nImpact: After config reload, the server appears to use new config (API returns success), but background services silently continue with old values. This creates confusion and unexpected behavior.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "concurrency-safety-config-reload", + "dimension_name": "Concurrency Safety of Dynamic Config Reload", + "evidence": "Step 1: webhookDispatcher created at server.go:366-371 with services.WebhookDispatcherConfig{Timeout: cfg.AgentField.ExecutionQueue.WebhookTimeout, ...}\nStep 2: observabilityForwarder created at server.go:377-389 with services.ObservabilityForwarderConfig{BatchSize: 10, ...} (hardcoded defaults, not from config at all!)\nStep 3: cleanupService created at server.go:392 with cfg.AgentField.ExecutionCleanup\nStep 4: healthMonitor created at server.go:166 with services.HealthMonitorConfig{CheckInterval: cfg.AgentField.NodeHealth.CheckInterval, ...}\nStep 5: All services started before config reload can be triggered\nStep 6: None of these services have mechanisms to receive updated config values\nResult: Config reload only affects the main server's config struct, not the cached values in background services", + "file_path": "control-plane/internal/server/server.go", + "id": "f_023", + "line_end": 428, + "line_start": 366, + "score": 0.756, + "severity": "important", + "suggestion": "For each background service, either:\n1. Add a ReloadConfig(newCfg ConfigType) method that updates internal config (requires careful synchronization within the service)\n2. Document that certain config changes require server restart to take effect\n3. Pass config via callback function instead of static values, so services read latest config each time\n4. For observabilityForwarder, the config values are currently hardcoded - they should at least be read from config at startup", + "tags": [ + "stale-config", + "background-services", + "caching", + "config-reload" + ], + "title": "Background Services Cache Config Values at Startup - Reload Has No Effect" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The mergeDBConfig function updates config fields one by one, creating a window where readers can see a partially updated configuration. This is a form of torn read.\n\nExample scenario:\n1. Reader goroutine accesses cfg.AgentField.ExecutionCleanup during reload\n2. mergeDBConfig has updated RetentionPeriod but not yet updated CleanupInterval\n3. Reader sees inconsistent state: new retention period with old cleanup interval\n\nSpecific vulnerable fields:\n- Lines 63-81: ExecutionCleanup fields updated individually (RetentionPeriod, CleanupInterval, BatchSize, PreserveRecentDuration, StaleExecutionTimeout, Enabled)\n- Lines 82-84: Approval struct replaced atomically (better, but still mixed with other fields)\n- Lines 87-89: Features.DID struct replaced atomically\n- Lines 95-97: API.CORS struct replaced atomically\n\nThe problem: While individual struct assignments are atomic, the overall config is NOT updated atomically. Between the first and last field update, readers see an inconsistent mix of old and new values.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "concurrency-safety-config-reload", + "dimension_name": "Concurrency Safety of Dynamic Config Reload", + "evidence": "Step 1: mergeDBConfig at config_db.go:54-103 updates fields sequentially\nStep 2: Lines 63-81 update ExecutionCleanup field-by-field (not atomic as a group)\nStep 3: Concurrent reader at server.go:392 accessing s.config.AgentField.ExecutionCleanup could read during updates\nStep 4: Example race: Writer updates RetentionPeriod at line 64, then gets preempted\nStep 5: Reader reads ExecutionCleanup struct, sees new RetentionPeriod but old CleanupInterval (line 67 hasn't executed yet)\nResult: Reader observes inconsistent config state", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_024", + "line_end": 103, + "line_start": 54, + "score": 0.714, + "severity": "important", + "suggestion": "Make config updates atomic by either:\n1. Create a complete new Config struct, populate it with merged values, then atomically swap the pointer (using atomic.Pointer or similar)\n2. Hold a write lock during the entire merge operation, and have all readers acquire read lock (but this blocks readers during reload)\n3. Accept that partial visibility is a known limitation and document which config sections are updated atomically vs field-by-field", + "tags": [ + "atomicity", + "partial-visibility", + "config", + "consistency" + ], + "title": "Partial Config Visibility Risk - Individual Field Updates Not Atomic" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The DeleteConfig handler returns HTTP 404 (Not Found) for ANY error from storage.DeleteConfig(), regardless of the actual error cause. This incorrectly masks database errors, permission errors, or other internal failures as not found conditions. Current behavior: Database connection failure results in 404 Not Found. Expected behavior: Database connection failure results in 500 Internal Server Error. This makes debugging difficult and violates HTTP semantics.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-storage-handler-review", + "dimension_name": "Config Storage Handler Implementation Review", + "evidence": "Step 1: Database connection fails during DeleteConfig call. Step 2: storage.DeleteConfig returns error like connection refused. Step 3: Handler returns c.JSON(http.StatusNotFound, ...) for ANY error. Step 4: Client receives misleading 404 status instead of 500.", + "file_path": "control-plane/internal/handlers/config_storage.go", + "id": "f_028", + "line_end": 110, + "line_start": 106, + "score": 0.714, + "severity": "important", + "suggestion": "Check the error type to distinguish not found from other errors. If errors.Is(err, storage.ErrNotFound) then return http.StatusNotFound, otherwise return http.StatusInternalServerError. Or if the storage layer does not return typed errors, check for not found in the error message.", + "tags": [ + "error-handling", + "http-semantics", + "incorrect-status-code" + ], + "title": "DeleteConfig returns 404 for all errors, masking real failures" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "Line 502 accesses s.config.AgentField.Port without any synchronization:\nreturn s.Router.Run(: + strconv.Itoa(s.config.AgentField.Port))\n\nWhile this specific access happens during server startup (before reload is possible), other accesses to Port throughout the codebase may happen concurrently. Additionally, this pattern demonstrates the unsynchronized access pattern that's problematic.\n\nMore critically, if the port were to change via config reload, the server would need to restart to bind to the new port - but this isn't handled. The port is effectively 'cached' by the running HTTP server.", + "confidence": 0.7, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "concurrency-safety-config-reload", + "dimension_name": "Concurrency Safety of Dynamic Config Reload", + "evidence": "Step 1: Line 502 reads s.config.AgentField.Port to start HTTP server\nStep 2: No RLock acquired before reading\nStep 3: If config reload changes the port, the running server continues on old port\nResult: Port config is effectively immutable after startup, but this isn't enforced or documented", + "file_path": "control-plane/internal/server/server.go", + "id": "f_025", + "line_end": 502, + "line_start": 502, + "score": 0.588, + "severity": "important", + "suggestion": "Either document that port changes require restart, or add a check in config reload to reject changes to certain immutable fields (like port). Also add mutex protection for consistency.", + "tags": [ + "config", + "port", + "synchronization", + "documentation" + ], + "title": "HTTP Server Port Accessed Without Lock During Concurrent Reload" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The type alias `ConfigReloadFunc` is correctly defined with an exported name (capitalized) and can be imported by the server package. The function signature `func() error` matches the expected usage pattern for configuration reload callbacks.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-reload-func-verification", + "dimension_name": "ConfigReloadFunc Type and Usage Verification", + "evidence": "Line 12: `type ConfigReloadFunc func() error` - exported type name, correct signature", + "file_path": "control-plane/internal/handlers/config_storage.go", + "id": "f_017", + "line_end": 12, + "line_start": 12, + "score": 0.445, + "severity": "suggestion", + "suggestion": null, + "tags": [ + "type-check", + "verification" + ], + "title": "ConfigReloadFunc type alias is correctly exported" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "Both call sites (lines 1552 and 1576) correctly invoke `NewConfigStorageHandlers(s.storage, s.configReloadFn())`. The `configReloadFn()` method returns `handlers.ConfigReloadFunc`, which matches the expected parameter type. Both admin routes and connector routes use the same initialization pattern.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-reload-func-verification", + "dimension_name": "ConfigReloadFunc Type and Usage Verification", + "evidence": "Line 1552: `configHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())`\nLine 1576: `configHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())`\nLine 435: `func (s *AgentFieldServer) configReloadFn() handlers.ConfigReloadFunc`", + "file_path": "control-plane/internal/server/server.go", + "id": "f_018", + "line_end": 1576, + "line_start": 1552, + "score": 0.445, + "severity": "suggestion", + "suggestion": null, + "tags": [ + "type-check", + "verification" + ], + "title": "NewConfigStorageHandlers receives correct function type at all call sites" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `ReloadConfig` handler correctly checks for nil `reloadFn` at line 115 and returns HTTP 503 with a descriptive error message when config reload is not available (AGENTFIELD_CONFIG_SOURCE != db). This prevents nil pointer dereference.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-reload-func-verification", + "dimension_name": "ConfigReloadFunc Type and Usage Verification", + "evidence": "Line 115-119: `if h.reloadFn == nil { c.JSON(http.StatusServiceUnavailable, gin.H{\"error\": \"config reload not available...\"}) }`", + "file_path": "control-plane/internal/handlers/config_storage.go", + "id": "f_019", + "line_end": 129, + "line_start": 114, + "score": 0.445, + "severity": "suggestion", + "suggestion": null, + "tags": [ + "nil-safety", + "verification" + ], + "title": "Nil reloadFn is handled correctly in ReloadConfig handler" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "GetConfig checks for 'no rows' condition by comparing err.Error() to a string literal 'sql: no rows in result set' instead of using errors.Is(err, sql.ErrNoRows). This is fragile because the error message string could change in future Go versions or with different database drivers. The standard approach throughout Go codebases is to use errors.Is() for error comparison.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "storage-provider-interface-extension", + "dimension_name": "StorageProvider Interface Extension for Config Storage", + "evidence": "Step 1: GetConfig at local.go:5186 checks `if err.Error() == \"sql: no rows in result set\"`. Step 2: The standard pattern in Go is `if errors.Is(err, sql.ErrNoRows)` as seen in GetWorkflowRun at local.go:300. Step 3: String comparison is fragile - the error message format could change or be driver-specific.", + "file_path": "control-plane/internal/storage/local.go", + "id": "f_006", + "line_end": 5192, + "line_start": 5163, + "score": 0.421, + "severity": "suggestion", + "suggestion": "Replace the string comparison with standard error checking:\n```go\nif errors.Is(err, sql.ErrNoRows) {\n return nil, nil\n}\n```\nThis requires importing `errors` package (which is already imported in the file).", + "tags": [ + "error-handling", + "best-practice", + "robustness" + ], + "title": "GetConfig uses string comparison for sql.ErrNoRows instead of errors.Is" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `API.CORS` merge at lines 95-97 only checks `AllowedOrigins` and does blanket assignment:\n\n```go\nif len(dbCfg.API.CORS.AllowedOrigins) > 0 {\n target.API.CORS = dbCfg.API.CORS\n}\n```\n\n**Missing fields** from CORSConfig (config.go:198-204):\n- `AllowedMethods`\n- `AllowedHeaders`\n- `ExposedHeaders`\n- `AllowCredentials`\n\nUsers cannot configure these CORS settings from DB config. Additionally, blanket assignment causes zero-value overwrite issues for unspecified fields.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "merge-logic-completeness", + "dimension_name": "Merge Logic Completeness and Correctness", + "evidence": "Step 1: CORSConfig struct at config.go:198-204 has 5 fields\nStep 2: mergeDBConfig lines 95-97 only checks AllowedOrigins\nStep 3: User stores DB config with AllowedMethods=[\"POST\", \"GET\"] but no AllowedOrigins\nStep 4: Condition len(AllowedOrigins) > 0 evaluates to false\nStep 5: AllowedMethods is ignored, CORS remains with default methods", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_013", + "line_end": 97, + "line_start": 95, + "score": 0.398, + "severity": "suggestion", + "suggestion": "Add field-by-field merge for all CORS fields:\n```go\nif len(dbCfg.API.CORS.AllowedOrigins) > 0 {\n target.API.CORS.AllowedOrigins = dbCfg.API.CORS.AllowedOrigins\n}\nif len(dbCfg.API.CORS.AllowedMethods) > 0 {\n target.API.CORS.AllowedMethods = dbCfg.API.CORS.AllowedMethods\n}\n// etc for AllowedHeaders, ExposedHeaders\n// For AllowCredentials (bool), use presence of other fields or pointer type\n```", + "tags": [ + "config", + "merge", + "missing-fields", + "cors" + ], + "title": "CORSConfig Merge Only Handles AllowedOrigins, Missing Other CORS Fields" + } + ], + "metadata": { + "agent_invocations": 25, + "anatomy": { + "blast_radius": [], + "clusters": [ + { + "description": "", + "files": [ + "control-plane/config/agentfield.yaml" + ], + "id": "cluster_0", + "name": "control-plane/config", + "primary_language": "yaml" + }, + { + "description": "", + "files": [ + "control-plane/internal/handlers/config_storage.go" + ], + "id": "cluster_1", + "name": "control-plane/internal/handlers", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/internal/server/config_db.go", + "control-plane/internal/server/server.go", + "control-plane/internal/server/server_routes_test.go" + ], + "id": "cluster_2", + "name": "control-plane/internal/server", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/internal/storage/local.go", + "control-plane/internal/storage/migrations.go", + "control-plane/internal/storage/models.go", + "control-plane/internal/storage/storage.go" + ], + "id": "cluster_3", + "name": "control-plane/internal/storage", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/migrations/028_create_config_storage.sql" + ], + "id": "cluster_4", + "name": "control-plane/migrations", + "primary_language": "sql" + } + ], + "context_notes": "This PR enables SaaS-style remote configuration management where a connector can push config to the control plane. The bootstrap safety mechanism (protecting storage section) is correctly implemented, but the security model assumes API keys are sufficient protection for config modification.", + "dependency_graph": {}, + "files": [ + { + "hunks": [ + { + "content": " enabled: true\n observability_config:\n enabled: false\n+ config_management:\n+ enabled: true\n+ read_only: false", + "header": "@@ -146,3 +146,6 @@ features:", + "new_count": 6, + "new_start": 146, + "old_count": 3, + "old_start": 146 + } + ], + "language": "yaml", + "lines_added": 3, + "lines_removed": 0, + "path": "control-plane/config/agentfield.yaml", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+package handlers\n+\n+import (\n+\t\"io\"\n+\t\"net/http\"\n+\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/storage\"\n+\t\"github.com/gin-gonic/gin\"\n+)\n+\n+// maxConfigBodySize is the maximum allowed size for a config body (1 MB).\n+// Prevents DoS via unbounded request body reads.\n+const maxConfigBodySize = 1 << 20 // 1 MB\n+\n+// ConfigReloadFunc is called to reload configuration from the database.\n+type ConfigReloadFunc func() error\n+\n+// ConfigStorageHandlers provides HTTP handlers for database-backed configuration.\n+type ConfigStorageHandlers struct {\n+\tstorage storage.StorageProvider\n+\treloadFn ConfigReloadFunc\n+}\n+\n+// NewConfigStorageHandlers creates a new ConfigStorageHandlers instance.\n+func NewConfigStorageHandlers(store storage.StorageProvider, reloadFn ConfigReloadFunc) *ConfigStorageHandlers {\n+\treturn &ConfigStorageHandlers{storage: store, reloadFn: reloadFn}\n+}\n+\n+// RegisterRoutes registers config storage routes on the given router group.\n+func (h *ConfigStorageHandlers) RegisterRoutes(group *gin.RouterGroup) {\n+\tgroup.GET(\"/configs\", h.ListConfigs)\n+\tgroup.GET(\"/configs/:key\", h.GetConfig)\n+\tgroup.PUT(\"/configs/:key\", h.SetConfig)\n+\tgroup.DELETE(\"/configs/:key\", h.DeleteConfig)\n+\tgroup.POST(\"/configs/reload\", h.ReloadConfig)\n+}\n+\n+// ListConfigs returns all stored configuration entries.\n+func (h *ConfigStorageHandlers) ListConfigs(c *gin.Context) {\n+\tentries, err := h.storage.ListConfigs(c.Request.Context())\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tif entries == nil {\n+\t\tentries = []*storage.ConfigEntry{}\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\n+\t\t\"configs\": entries,\n+\t\t\"total\": len(entries),\n+\t})\n+}\n+\n+// GetConfig returns a specific configuration entry by key.\n+func (h *ConfigStorageHandlers) GetConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\tentry, err := h.storage.GetConfig(c.Request.Context(), key)\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tif entry == nil {\n+\t\tc.JSON(http.StatusNotFound, gin.H{\"error\": \"config not found\", \"key\": key})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, entry)\n+}\n+\n+// SetConfig creates or updates a configuration entry.\n+// Accepts raw YAML/text body as the config value.\n+func (h *ConfigStorageHandlers) SetConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\n+\tbody, err := io.ReadAll(io.LimitReader(c.Request.Body, maxConfigBodySize+1))\n+\tif err != nil {\n+\t\tc.JSON(http.StatusBadRequest, gin.H{\"error\": \"failed to read request body\"})\n+\t\treturn\n+\t}\n+\tif len(body) == 0 {\n+\t\tc.JSON(http.StatusBadRequest, gin.H{\"error\": \"request body is empty\"})\n+\t\treturn\n+\t}\n+\tif len(body) > maxConfigBodySize {\n+\t\tc.JSON(http.StatusRequestEntityTooLarge, gin.H{\n+\t\t\t\"error\": \"config body exceeds maximum size\",\n+\t\t\t\"max\": maxConfigBodySize,\n+\t\t})\n+\t\treturn\n+\t}\n+\n+\tupdatedBy := c.GetHeader(\"X-Updated-By\")\n+\tif updatedBy == \"\" {\n+\t\tupdatedBy = \"api\"\n+\t}\n+\n+\tif err := h.storage.SetConfig(c.Request.Context(), key, string(body), updatedBy); err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\n+\t// Return the saved entry\n+\tentry, err := h.storage.GetConfig(c.Request.Context(), key)\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\n+\tc.JSON(http.StatusOK, gin.H{\n+\t\t\"message\": \"config saved\",\n+\t\t\"config\": entry,\n+\t})\n+}\n+\n+// DeleteConfig removes a configuration entry by key.\n+func (h *ConfigStorageHandlers) DeleteConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\tif err := h.storage.DeleteConfig(c.Request.Context(), key); err != nil {\n+\t\tc.JSON(http.StatusNotFound, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\"message\": \"config deleted\", \"key\": key})\n+}\n+\n+// ReloadConfig triggers a hot-reload of configuration from the database.\n+func (h *ConfigStorageHandlers) ReloadConfig(c *gin.Context) {\n+\tif h.reloadFn == nil {\n+\t\tc.JSON(http.StatusServiceUnavailable, gin.H{\n+\t\t\t\"error\": \"config reload not available (AGENTFIELD_CONFIG_SOURCE != db)\",\n+\t\t})\n+\t\treturn\n+\t}\n+\tif err := h.reloadFn(); err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\n+\t\t\t\"error\": \"config reload failed\",\n+\t\t\t\"details\": err.Error(),\n+\t\t})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\"message\": \"config reloaded from database\"})\n+}", + "header": "@@ -0,0 +1,140 @@", + "new_count": 140, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "go", + "lines_added": 140, + "lines_removed": 0, + "path": "control-plane/internal/handlers/config_storage.go", + "status": "added" + }, + { + "hunks": [ + { + "content": "+package server\n+\n+import (\n+\t\"context\"\n+\t\"fmt\"\n+\t\"time\"\n+\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/config\"\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/storage\"\n+\t\"gopkg.in/yaml.v3\"\n+)\n+\n+const dbConfigKey = \"agentfield.yaml\"\n+\n+// overlayDBConfig loads config from the database and merges it into the\n+// existing config. The storage section is preserved from the original config\n+// to avoid the bootstrap problem (DB connection settings can't come from DB).\n+// Precedence: env vars > DB config > file config > defaults.\n+func overlayDBConfig(cfg *config.Config, store storage.StorageProvider) error {\n+\tctx, cancel := context.WithTimeout(context.Background(), 10*time.Second)\n+\tdefer cancel()\n+\n+\tentry, err := store.GetConfig(ctx, dbConfigKey)\n+\tif err != nil {\n+\t\treturn fmt.Errorf(\"failed to read config from database: %w\", err)\n+\t}\n+\tif entry == nil {\n+\t\tfmt.Println(\"[config] No database config found (key: agentfield.yaml), using file/env config only.\")\n+\t\treturn nil\n+\t}\n+\n+\t// Preserve the storage config \u2014 it must always come from file/env (bootstrap)\n+\tsavedStorage := cfg.Storage\n+\n+\t// Parse the DB-stored YAML into a config struct\n+\tvar dbCfg config.Config\n+\tif err := yaml.Unmarshal([]byte(entry.Value), &dbCfg); err != nil {\n+\t\treturn fmt.Errorf(\"failed to parse database config YAML: %w\", err)\n+\t}\n+\n+\t// Overlay non-zero DB values onto the existing config\n+\tmergeDBConfig(cfg, &dbCfg)\n+\n+\t// Restore storage config (never overridden from DB)\n+\tcfg.Storage = savedStorage\n+\n+\tfmt.Printf(\"[config] Loaded config from database (key: %s, version: %d, updated: %s)\\n\",\n+\t\tentry.Key, entry.Version, entry.UpdatedAt.Format(time.RFC3339))\n+\treturn nil\n+}\n+\n+// mergeDBConfig selectively merges DB config values into the target config.\n+// Only non-zero/non-empty values from the DB config are applied.\n+func mergeDBConfig(target, dbCfg *config.Config) {\n+\t// AgentField settings\n+\tif dbCfg.AgentField.Port != 0 {\n+\t\ttarget.AgentField.Port = dbCfg.AgentField.Port\n+\t}\n+\tif dbCfg.AgentField.NodeHealth.CheckInterval != 0 {\n+\t\ttarget.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth\n+\t}\n+\t// Merge execution cleanup field-by-field to avoid zeroing out unset fields\n+\tif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.RetentionPeriod = dbCfg.AgentField.ExecutionCleanup.RetentionPeriod\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.CleanupInterval = dbCfg.AgentField.ExecutionCleanup.CleanupInterval\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.BatchSize != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.BatchSize = dbCfg.AgentField.ExecutionCleanup.BatchSize\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.PreserveRecentDuration = dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.StaleExecutionTimeout = dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout\n+\t}\n+\t// Enabled is a bool \u2014 only override if cleanup config is present in DB at all\n+\tif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 || dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.Enabled = dbCfg.AgentField.ExecutionCleanup.Enabled\n+\t}\n+\tif dbCfg.AgentField.Approval.WebhookSecret != \"\" || dbCfg.AgentField.Approval.DefaultExpiryHours != 0 {\n+\t\ttarget.AgentField.Approval = dbCfg.AgentField.Approval\n+\t}\n+\n+\t// Features\n+\tif dbCfg.Features.DID.Method != \"\" {\n+\t\ttarget.Features.DID = dbCfg.Features.DID\n+\t}\n+\t// NOTE: Connector config (token, capabilities) is intentionally NOT merged\n+\t// from DB. These are security-sensitive and must come from file/env config,\n+\t// similar to how storage config is protected from the bootstrap problem.\n+\n+\t// API settings (but never override API key from DB for security)\n+\tif len(dbCfg.API.CORS.AllowedOrigins) > 0 {\n+\t\ttarget.API.CORS = dbCfg.API.CORS\n+\t}\n+\n+\t// UI settings\n+\tif dbCfg.UI.Mode != \"\" {\n+\t\ttarget.UI = dbCfg.UI\n+\t}\n+}", + "header": "@@ -0,0 +1,103 @@", + "new_count": 103, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "go", + "lines_added": 103, + "lines_removed": 0, + "path": "control-plane/internal/server/config_db.go", + "status": "added" + }, + { + "hunks": [ + { + "content": " \t\"path/filepath\"\n \t\"strconv\"\n \t\"strings\"\n+\t\"sync\"\n \t\"time\"\n \n \t\"github.com/Agent-Field/agentfield/control-plane/internal/config\"", + "header": "@@ -13,6 +13,7 @@ import (", + "new_count": 7, + "new_start": 13, + "old_count": 6, + "old_start": 13 + }, + { + "content": " \tadminGRPCPort int\n \twebhookDispatcher services.WebhookDispatcher\n \tobservabilityForwarder services.ObservabilityForwarder\n+\tconfigMu sync.RWMutex\n }\n \n // NewAgentFieldServer creates a new instance of the AgentFieldServer.", + "header": "@@ -79,6 +80,7 @@ type AgentFieldServer struct {", + "new_count": 7, + "new_start": 80, + "old_count": 6, + "old_start": 79 + }, + { + "content": " \t\treturn nil, err\n \t}\n \n+\t// Overlay database-stored config if AGENTFIELD_CONFIG_SOURCE=db\n+\tif src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src == \"db\" {\n+\t\tif err := overlayDBConfig(cfg, storageProvider); err != nil {\n+\t\t\tfmt.Printf(\"Warning: failed to load config from database: %v\\n\", err)\n+\t\t}\n+\t}\n+\n \tRouter := gin.Default()\n \n \t// Sync installed.yaml to database for package visibility", + "header": "@@ -104,6 +106,13 @@ func NewAgentFieldServer(cfg *config.Config) (*AgentFieldServer, error) {", + "new_count": 13, + "new_start": 106, + "old_count": 6, + "old_start": 104 + }, + { + "content": " \t}, nil\n }\n \n+// configReloadFn returns a function that reloads config from the database,\n+// or nil if AGENTFIELD_CONFIG_SOURCE is not set to \"db\".\n+// The returned function acquires configMu to prevent data races with\n+// concurrent readers of s.config.\n+func (s *AgentFieldServer) configReloadFn() handlers.ConfigReloadFunc {\n+\tif src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src != \"db\" {\n+\t\treturn nil\n+\t}\n+\treturn func() error {\n+\t\ts.configMu.Lock()\n+\t\tdefer s.configMu.Unlock()\n+\t\treturn overlayDBConfig(s.config, s.storage)\n+\t}\n+}\n+\n // Start initializes and starts the AgentFieldServer.\n func (s *AgentFieldServer) Start() error {\n \t// Setup routes", + "header": "@@ -423,6 +432,21 @@ func NewAgentFieldServer(cfg *config.Config) (*AgentFieldServer, error) {", + "new_count": 21, + "new_start": 432, + "old_count": 6, + "old_start": 423 + }, + { + "content": " \t\t\tlogger.Logger.Info().Msg(\"\ud83d\udccb Authorization admin routes registered\")\n \t\t}\n \n+\t\t// Config storage routes (admin-authenticated)\n+\t\t{\n+\t\t\tconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n+\t\t\tconfigHandlers.RegisterRoutes(agentAPI)\n+\t\t\tlogger.Logger.Info().Msg(\"Config storage routes registered\")\n+\t\t}\n+\n \t\t// Connector routes (authenticated with separate connector token)\n \t\tif s.config.Features.Connector.Enabled && s.config.Features.Connector.Token != \"\" {\n \t\t\tconnectorGroup := agentAPI.Group(\"/connector\")", + "header": "@@ -1529,6 +1553,13 @@ func (s *AgentFieldServer) setupRoutes() {", + "new_count": 13, + "new_start": 1553, + "old_count": 6, + "old_start": 1529 + }, + { + "content": " \t\t\t)\n \t\t\tconnectorHandlers.RegisterRoutes(connectorGroup)\n \n+\t\t\t// Config management routes for connector\n+\t\t\tconfigGroup := connectorGroup.Group(\"\")\n+\t\t\tconfigGroup.Use(middleware.ConnectorCapabilityCheck(\"config_management\", s.config.Features.Connector.Capabilities))\n+\t\t\t{\n+\t\t\t\tconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n+\t\t\t\tconfigHandlers.RegisterRoutes(configGroup)\n+\t\t\t}\n+\n \t\t\tlogger.Logger.Info().Msg(\"\ud83d\udd0c Connector routes registered\")\n \t\t}\n \t}", + "header": "@@ -1544,6 +1575,14 @@ func (s *AgentFieldServer) setupRoutes() {", + "new_count": 14, + "new_start": 1575, + "old_count": 6, + "old_start": 1544 + } + ], + "language": "go", + "lines_added": 39, + "lines_removed": 0, + "path": "control-plane/internal/server/server.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " }\n \n // Configuration\n-func (s *stubStorage) SetConfig(ctx context.Context, key string, value interface{}) error { return nil }\n-func (s *stubStorage) GetConfig(ctx context.Context, key string) (interface{}, error) {\n+func (s *stubStorage) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n+\treturn nil\n+}\n+func (s *stubStorage) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error) {\n+\treturn nil, nil\n+}\n+func (s *stubStorage) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n \treturn nil, nil\n }\n+func (s *stubStorage) DeleteConfig(ctx context.Context, key string) error { return nil }\n \n // Reasoner Performance and History\n func (s *stubStorage) GetReasonerPerformanceMetrics(ctx context.Context, reasonerID string) (*types.ReasonerPerformanceMetrics, error) {", + "header": "@@ -230,10 +230,16 @@ func (s *stubStorage) ListAgentGroups(ctx context.Context, teamID string) ([]typ", + "new_count": 16, + "new_start": 230, + "old_count": 10, + "old_start": 230 + } + ], + "language": "go", + "lines_added": 8, + "lines_removed": 2, + "path": "control-plane/internal/server/server_routes_test.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \treturn nil\n }\n \n-// SetConfig stores a configuration key-value pair in SQLite.\n-func (ls *LocalStorage) SetConfig(ctx context.Context, key string, value interface{}) error {\n-\t// Fast-fail if context is already cancelled\n+// SetConfig upserts a configuration entry in the database.\n+// On conflict (duplicate key), it increments the version and updates the value.\n+func (ls *LocalStorage) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n \tif err := ctx.Err(); err != nil {\n \t\treturn err\n \t}\n \n-\t// TODO: Implement configuration storage in SQLite\n-\treturn fmt.Errorf(\"SetConfig not yet implemented for LocalStorage\")\n+\tdb := ls.requireSQLDB()\n+\tnow := time.Now().UTC()\n+\n+\tif ls.mode == \"postgres\" {\n+\t\t_, err := db.ExecContext(ctx, `\n+\t\t\tINSERT INTO config_storage (key, value, version, created_by, updated_by, created_at, updated_at)\n+\t\t\tVALUES ($1, $2, 1, $3, $3, $4, $4)\n+\t\t\tON CONFLICT (key) DO UPDATE SET\n+\t\t\t\tvalue = EXCLUDED.value,\n+\t\t\t\tversion = config_storage.version + 1,\n+\t\t\t\tupdated_by = EXCLUDED.updated_by,\n+\t\t\t\tupdated_at = EXCLUDED.updated_at`,\n+\t\t\tkey, value, updatedBy, now)\n+\t\treturn err\n+\t}\n+\n+\t// SQLite\n+\t_, err := db.ExecContext(ctx, `\n+\t\tINSERT INTO config_storage (key, value, version, created_by, updated_by, created_at, updated_at)\n+\t\tVALUES (?, ?, 1, ?, ?, ?, ?)\n+\t\tON CONFLICT (key) DO UPDATE SET\n+\t\t\tvalue = excluded.value,\n+\t\t\tversion = config_storage.version + 1,\n+\t\t\tupdated_by = excluded.updated_by,\n+\t\t\tupdated_at = excluded.updated_at`,\n+\t\tkey, value, updatedBy, updatedBy, now, now)\n+\treturn err\n }\n \n-// GetConfig retrieves a configuration value from SQLite by key.\n-func (ls *LocalStorage) GetConfig(ctx context.Context, key string) (interface{}, error) {\n-\t// Fast-fail if context is already cancelled\n+// GetConfig retrieves a configuration entry by key.\n+func (ls *LocalStorage) GetConfig(ctx context.Context, key string) (*ConfigEntry, error) {\n+\tif err := ctx.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n+\tdb := ls.requireSQLDB()\n+\tvar entry ConfigEntry\n+\n+\tvar placeholder string\n+\tif ls.mode == \"postgres\" {\n+\t\tplaceholder = \"$1\"\n+\t} else {\n+\t\tplaceholder = \"?\"\n+\t}\n+\n+\trow := db.QueryRowContext(ctx,\n+\t\tfmt.Sprintf(`SELECT key, value, version, COALESCE(created_by, ''), COALESCE(updated_by, ''), created_at, updated_at\n+\t\tFROM config_storage WHERE key = %s`, placeholder), key)\n+\n+\terr := row.Scan(&entry.Key, &entry.Value, &entry.Version,\n+\t\t&entry.CreatedBy, &entry.UpdatedBy, &entry.CreatedAt, &entry.UpdatedAt)\n+\tif err != nil {\n+\t\tif errors.Is(err, sql.ErrNoRows) {\n+\t\t\treturn nil, nil\n+\t\t}\n+\t\treturn nil, fmt.Errorf(\"failed to get config %q: %w\", key, err)\n+\t}\n+\treturn &entry, nil\n+}\n+\n+// ListConfigs returns all stored configuration entries.\n+func (ls *LocalStorage) ListConfigs(ctx context.Context) ([]*ConfigEntry, error) {\n \tif err := ctx.Err(); err != nil {\n \t\treturn nil, err\n \t}\n \n-\t// TODO: Implement configuration retrieval from SQLite\n-\treturn nil, fmt.Errorf(\"GetConfig not yet implemented for LocalStorage\")\n+\tdb := ls.requireSQLDB()\n+\trows, err := db.QueryContext(ctx,\n+\t\t`SELECT key, value, version, COALESCE(created_by, ''), COALESCE(updated_by, ''), created_at, updated_at\n+\t\tFROM config_storage ORDER BY key`)\n+\tif err != nil {\n+\t\treturn nil, fmt.Errorf(\"failed to list configs: %w\", err)\n+\t}\n+\tdefer rows.Close()\n+\n+\tvar entries []*ConfigEntry\n+\tfor rows.Next() {\n+\t\tvar entry ConfigEntry\n+\t\tif err := rows.Scan(&entry.Key, &entry.Value, &entry.Version,\n+\t\t\t&entry.CreatedBy, &entry.UpdatedBy, &entry.CreatedAt, &entry.UpdatedAt); err != nil {\n+\t\t\treturn nil, fmt.Errorf(\"failed to scan config row: %w\", err)\n+\t\t}\n+\t\tentries = append(entries, &entry)\n+\t}\n+\treturn entries, rows.Err()\n+}\n+\n+// DeleteConfig removes a configuration entry by key.\n+func (ls *LocalStorage) DeleteConfig(ctx context.Context, key string) error {\n+\tif err := ctx.Err(); err != nil {\n+\t\treturn err\n+\t}\n+\n+\tdb := ls.requireSQLDB()\n+\tvar placeholder string\n+\tif ls.mode == \"postgres\" {\n+\t\tplaceholder = \"$1\"\n+\t} else {\n+\t\tplaceholder = \"?\"\n+\t}\n+\n+\tresult, err := db.ExecContext(ctx,\n+\t\tfmt.Sprintf(`DELETE FROM config_storage WHERE key = %s`, placeholder), key)\n+\tif err != nil {\n+\t\treturn fmt.Errorf(\"failed to delete config %q: %w\", key, err)\n+\t}\n+\trows, _ := result.RowsAffected()\n+\tif rows == 0 {\n+\t\treturn fmt.Errorf(\"config %q not found\", key)\n+\t}\n+\treturn nil\n }\n \n // SubscribeToMemoryChanges implements the StorageProvider SubscribeToMemoryChanges method using local pub/sub.", + "header": "@@ -5124,26 +5124,124 @@ func (ls *LocalStorage) UpdateAgentTrafficWeight(ctx context.Context, id string,", + "new_count": 124, + "new_start": 5124, + "old_count": 26, + "old_start": 5124 + } + ], + "language": "go", + "lines_added": 108, + "lines_removed": 10, + "path": "control-plane/internal/storage/local.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \t\t&DIDDocumentModel{},\n \t\t&AccessPolicyModel{},\n \t\t&AgentTagVCModel{},\n+\t\t&ConfigStorageModel{},\n \t}\n \n \tif err := gormDB.WithContext(ctx).AutoMigrate(models...); err != nil {", + "header": "@@ -233,6 +233,7 @@ func (ls *LocalStorage) autoMigrateSchema(ctx context.Context) error {", + "new_count": 7, + "new_start": 233, + "old_count": 6, + "old_start": 233 + } + ], + "language": "go", + "lines_added": 1, + "lines_removed": 0, + "path": "control-plane/internal/storage/migrations.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " }\n \n func (AgentTagVCModel) TableName() string { return \"agent_tag_vcs\" }\n+\n+// ConfigStorageModel stores configuration files in the database.\n+// Each record represents a named configuration (e.g. \"agentfield.yaml\")\n+// with versioning for audit trail.\n+type ConfigStorageModel struct {\n+\tID int64 `gorm:\"column:id;primaryKey;autoIncrement\"`\n+\tKey string `gorm:\"column:key;not null;uniqueIndex\"`\n+\tValue string `gorm:\"column:value;type:text;not null\"`\n+\tVersion int `gorm:\"column:version;not null;default:1\"`\n+\tCreatedBy *string `gorm:\"column:created_by\"`\n+\tUpdatedBy *string `gorm:\"column:updated_by\"`\n+\tCreatedAt time.Time `gorm:\"column:created_at;autoCreateTime\"`\n+\tUpdatedAt time.Time `gorm:\"column:updated_at;autoUpdateTime\"`\n+}\n+\n+func (ConfigStorageModel) TableName() string { return \"config_storage\" }", + "header": "@@ -472,3 +472,19 @@ type AgentTagVCModel struct {", + "new_count": 19, + "new_start": 472, + "old_count": 3, + "old_start": 472 + } + ], + "language": "go", + "lines_added": 16, + "lines_removed": 0, + "path": "control-plane/internal/storage/models.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \tActiveExecutions int\n }\n \n+// ConfigEntry represents a database-stored configuration file.\n+type ConfigEntry struct {\n+\tKey string `json:\"key\"`\n+\tValue string `json:\"value\"`\n+\tVersion int `json:\"version\"`\n+\tCreatedBy string `json:\"created_by,omitempty\"`\n+\tUpdatedBy string `json:\"updated_by,omitempty\"`\n+\tCreatedAt time.Time `json:\"created_at\"`\n+\tUpdatedAt time.Time `json:\"updated_at\"`\n+}\n+\n // StorageProvider is the interface for the primary data storage backend.\n type StorageProvider interface {\n \t// Lifecycle", + "header": "@@ -26,6 +26,17 @@ type RunSummaryAggregation struct {", + "new_count": 17, + "new_start": 26, + "old_count": 6, + "old_start": 26 + }, + { + "content": " \tUpdateAgentVersion(ctx context.Context, id string, version string) error\n \tUpdateAgentTrafficWeight(ctx context.Context, id string, version string, weight int) error\n \n-\t// Configuration\n-\tSetConfig(ctx context.Context, key string, value interface{}) error\n-\tGetConfig(ctx context.Context, key string) (interface{}, error)\n+\t// Configuration Storage (database-backed config files)\n+\tSetConfig(ctx context.Context, key string, value string, updatedBy string) error\n+\tGetConfig(ctx context.Context, key string) (*ConfigEntry, error)\n+\tListConfigs(ctx context.Context) ([]*ConfigEntry, error)\n+\tDeleteConfig(ctx context.Context, key string) error\n \n \t// Reasoner Performance and History\n \tGetReasonerPerformanceMetrics(ctx context.Context, reasonerID string) (*types.ReasonerPerformanceMetrics, error)", + "header": "@@ -118,9 +129,11 @@ type StorageProvider interface {", + "new_count": 11, + "new_start": 129, + "old_count": 9, + "old_start": 118 + } + ], + "language": "go", + "lines_added": 16, + "lines_removed": 3, + "path": "control-plane/internal/storage/storage.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+-- +goose Up\n+-- +goose StatementBegin\n+CREATE TABLE IF NOT EXISTS config_storage (\n+ id BIGSERIAL PRIMARY KEY,\n+ key TEXT NOT NULL UNIQUE,\n+ value TEXT NOT NULL,\n+ version INTEGER NOT NULL DEFAULT 1,\n+ created_by TEXT,\n+ updated_by TEXT,\n+ created_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW(),\n+ updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()\n+);\n+\n+CREATE INDEX IF NOT EXISTS idx_config_storage_key ON config_storage(key);\n+-- +goose StatementEnd\n+\n+-- +goose Down\n+-- +goose StatementBegin\n+DROP INDEX IF EXISTS idx_config_storage_key;\n+DROP TABLE IF EXISTS config_storage;\n+-- +goose StatementEnd", + "header": "@@ -0,0 +1,21 @@", + "new_count": 21, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "sql", + "lines_added": 21, + "lines_removed": 0, + "path": "control-plane/migrations/028_create_config_storage.sql", + "status": "added" + } + ], + "intent_gaps": [ + "**No Config Schema Validation**: The PR stores raw YAML in the database but never validates it against the config schema. Invalid configs can be stored and will cause server failures on restart (config_storage.go:67-101).", + "**No Audit Logging**: While version numbers track changes, there's no audit log of who changed what config when - only the `updated_by` field is captured (local.go:5137-5160).", + "**No Rollback Mechanism**: The reload endpoint loads current DB config but there's no API to view or restore previous versions of a config (config_storage.go:114-128).", + "**Silent Security Override**: The merge logic (config_db.go:54-103) silently overrides critical security settings like `Approval.WebhookSecret` and `API.CORS` from DB without explicit opt-in or warnings.", + "**No Test Coverage for Config Loading**: The test file `server_routes_test.go` has stub implementations for config methods (lines 232-242) but no tests for the actual DB config loading or overlay behavior." + ], + "pr_narrative": "This PR implements database-backed configuration storage for the AgentField control plane. The feature adds a new `config_storage` table to store YAML configuration files in the database, enables dynamic config loading at startup via `AGENTFIELD_CONFIG_SOURCE=db` environment variable, and exposes CRUD API endpoints for remote management.\n\n**Key Changes:**\n\n1. **Database Schema (migration 028)**: Creates `config_storage` table with `key` (unique), `value` (text), `version`, audit fields (`created_by`, `updated_by`, `created_at`, `updated_at`). GORM model added at `models.go:476-490`.\n\n2. **Storage Interface**: Added four methods to `StorageProvider` interface (`storage.go:132-136`): `SetConfig`, `GetConfig`, `ListConfigs`, `DeleteConfig`. Implementation in `local.go:5129-5245` supports both SQLite and PostgreSQL with dialect-specific SQL.\n\n3. **Startup Config Loading**: New `config_db.go` file with `overlayDBConfig()` function that loads config from DB and merges it with file/env config using precedence: env vars > DB config > file config > defaults. Called in `server.go:107-112` during server initialization when `AGENTFIELD_CONFIG_SOURCE=db`. Storage section is explicitly preserved from file config to avoid bootstrap circularity.\n\n4. **API Endpoints**: New `config_storage.go` handlers provide: `GET /api/v1/configs` (list), `GET /api/v1/configs/:key` (get), `PUT /api/v1/configs/:key` (set), `DELETE /api/v1/configs/:key` (delete), `POST /api/v1/configs/reload` (hot reload). Connector-scoped routes at `/api/v1/connector/configs/*` gated by `config_management` capability check (`server.go:1573-1578`).\n\n5. **Default Config**: Added `config_management` capability to default `agentfield.yaml:149-151`.\n\n**Old vs New Mechanism**: Previously, configuration was loaded only from YAML files and environment variables at startup. The new mechanism allows storing config in the database and dynamically overlaying it at startup, with hot-reload capability via API.", + "risk_surfaces": [ + "**Bootstrap/Startup Risk (server.go:107-112, config_db.go:19-50)**: Database config loading happens after storage init but before other services. If DB config contains invalid YAML, `yaml.Unmarshal` will fail and the server will crash on startup. The storage section is protected, but other security-critical settings (API keys, tokens) can be overridden from DB without validation.", + "**Authentication Bypass (server.go:1550-1555, config_storage.go:26-31)**: Config storage routes are registered under the main `/api/v1` group with only standard API key auth - no admin token requirement. Any caller with a valid API key can modify server configuration, potentially escalating privileges or disrupting service.", + "**Concurrent Config Access (config_db.go:19-50, server.go:435-442)**: The `overlayDBConfig` function mutates the shared config struct post-initialization. Background services (health monitor, cleanup service, webhook dispatcher) may have cached config values at startup. Changes to `ExecutionCleanup`, `Approval`, or `DID` settings via DB reload won't propagate to already-running services without restart.", + "**Connector Capability Escalation (server.go:1573-1578)**: Connector routes reuse the same `ConfigStorageHandlers` but with `ConnectorCapabilityCheck` middleware. If the capability check has logic bugs or the capability list is misconfigured, connectors could gain unauthorized write access to server configuration.", + "**SQL Injection Surface (local.go:5179-5181, 5235-5236)**: `GetConfig` and `DeleteConfig` use `fmt.Sprintf` to build queries with placeholder variables. While currently using parameterized placeholders (`$1`, `?`), future modifications could inadvertently introduce string interpolation of user input. The pattern `fmt.Sprintf(..., placeholder)` is risky.", + "**Version Concurrency (local.go:5137-5160)**: `SetConfig` uses UPSERT with `version = config_storage.version + 1` but has no optimistic locking or conflict detection. Concurrent updates from multiple API clients will result in last-write-wins without detecting overwrites.", + "**Missing Config Validation (config_storage.go:67-101)**: The `SetConfig` handler accepts raw YAML body without validation. Invalid YAML, malformed config structure, or missing required fields can be stored and will cause server startup failures on next restart with `AGENTFIELD_CONFIG_SOURCE=db`." + ], + "stats": { + "files_added": 3, + "files_modified": 7, + "files_removed": 0, + "files_renamed": 0, + "test_files_changed": 1, + "test_to_code_ratio": 0.1111111111111111, + "total_additions": 455, + "total_deletions": 15, + "total_files": 10 + }, + "unrelated_changes": [] + }, + "budget": { + "budget_exhausted": false, + "cost_breakdown": { + "adversary": 0, + "anatomy": 0, + "coverage": 0, + "cross_ref": 0, + "intake": 0, + "meta_selectors": 0, + "output": 0, + "review": 0, + "synthesis": 0 + }, + "max_cost_usd": 2, + "max_duration_seconds": 2400, + "total_cost_usd": 0 + }, + "intake": { + "ai_generated": 0.6666666666666666, + "areas_touched": [ + "database", + "api", + "tests", + "config" + ], + "complexity": ": ", + "languages": [ + "go", + "sql", + "yaml" + ], + "pr_summary": "## Summary\n- Add `config_storage` table (GORM model + Goose migration 028) for storing configuration files in the database\n- Implement `SetConfig`/`GetConfig`/`ListConfigs`/`DeleteConfig` on the `StorageProvider` interface (works on both SQLite and PostgreSQL)\n- Add `AGENTFIELD_CONFIG_SOURCE=db` environment variable to load config from the database at startup (overlays on top of file config, preserving storage section for bootstrap)\n- Add CRUD API endpoints at `GET/PUT/DELETE /api/v1/configs/:key`\n- Add connector-scoped config routes gated by `config_management` capability\n- Add `config_management` capability to default `agentfield.yaml`\n\n## How It Works\n1. **Store config in DB**: `PUT /api/v1/configs/agentfield.yaml` with YAML body\n2. **Load from DB at startup**: Set `AGENTFIELD_CONFIG_SOURCE=db` \u2192 server reads config from DB after storage init\n3. **Remote management**: SaaS \u2192 connector \u2192 `config_management` capability \u2192 CP config API\n4. **Precedence**: env vars > DB config > file config > defaults\n5. **Bootstrap safety**: The `storage` section is never overridden from DB (DB connection can't come from DB)\n\n## Related PRs\n- Connector: Agent-Field/connector (config_management capability)\n- hax-sdk: Agent-Field/hax-sdk (config editor UI)\n\n## Test plan\n- [x] `go build ./...` passes\n- [x] Server tests pass\n- [x] Storage test failure is pre-existing (FTS5 not available)\n- [ ] Manual test: create config via API, verify it loads on restart with `AGENTFIELD_CONFIG_SOURCE=db`\n- [ ] Manual test: verify connector flow end-to-end\n\n\ud83e\udd16 Generated with [Claude Code](https://claude.com/claude-code)", + "pr_type": ": ", + "review_depth": "standard", + "risk_signals": [ + "modifies data model or schema-affecting code", + "changes API surface or request/response behavior", + "includes configuration changes", + "test behavior updated" + ] + }, + "phases_completed": [ + "intake", + "anatomy", + "meta_selectors", + "review", + "adversary", + "cross_ref", + "coverage", + "synthesis", + "output" + ], + "plan": { + "ai_adjusted": false, + "cross_ref_hints": [], + "dimensions": [ + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 90, + "max_reference_follows": 5 + }, + "context_files": [ + "control-plane/internal/config/config.go", + "control-plane/internal/server/server.go" + ], + "id": "semantic_semantic-001", + "name": "Config Merge Correctness", + "priority": 10, + "review_prompt": "Review the mergeDBConfig function in control-plane/internal/server/config_db.go (lines 54-103). This function selectively merges DB config values into the target config, claiming to only apply non-zero/non-empty values.\n\nInvestigate:\n1. Does the merge logic correctly handle ALL config fields? Check if any fields in the Config struct are missing from the merge logic (e.g., logging, metrics, feature flags beyond DID, API settings beyond CORS).\n2. The function uses zero-value checks (e.g., `Port != 0`, `WebHookSecret != \"\"`). Does this correctly distinguish between 'not set in DB' vs 'explicitly set to zero/empty in DB'? A user might want to explicitly disable a feature by setting it to 0 or false.\n3. The ExecutionCleanup.Enabled bool is only set if RetentionPeriod or CleanupInterval is non-zero. What if a user wants to explicitly disable cleanup (Enabled=false) while keeping other settings?\n4. Verify that the Connector config is truly NOT being merged (security-sensitive) - confirm no accidental merge happens.\n5. The comment says \"Only non-zero/non-empty values from the DB config are applied\" - verify this holds true for all types including booleans, slices, and nested structs.\n\nLook for cases where the merge logic could produce different configuration results than expected, especially around partial updates and zero-value handling.", + "target_files": [ + "control-plane/internal/server/config_db.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 90, + "max_reference_follows": 5 + }, + "context_files": [ + "control-plane/internal/services/*.go" + ], + "id": "semantic_semantic-002", + "name": "Concurrent Config Access Safety", + "priority": 9, + "review_prompt": "Review the concurrency safety of the dynamic config reload mechanism.\n\nFocus on:\n1. The configReloadFn in control-plane/internal/server/server.go (lines 435-442) acquires configMu.Lock() during reload. Verify that ALL readers of s.config throughout the codebase hold configMu.RLock() or Lock() when accessing s.config.\n2. Check server.go for any goroutines or background services (webhook dispatcher, cleanup service, health monitor) that might cache config values at startup and not see reloads.\n3. Look for any direct field access on s.config that bypasses the mutex (e.g., s.config.AgentField.Port accessed without locking).\n4. The overlayDBConfig function in config_db.go modifies the cfg struct in-place. Verify this doesn't cause races with concurrent readers that might be iterating over the config.\n5. Check if there's a risk of partial config visibility during reload - can a reader see a half-updated config if they acquire RLock during a reload?\n\nIdentify any cases where concurrent access could lead to data races, stale config reads, or inconsistent state between different config fields.", + "target_files": [ + "control-plane/internal/server/server.go", + "control-plane/internal/server/config_db.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/server/server_routes_test.go" + ], + "id": "mechanical_mech-001", + "name": "StorageProvider Interface Method Signature Compatibility", + "priority": 10, + "review_prompt": "This PR changes the StorageProvider interface methods from:\n- SetConfig(ctx context.Context, key string, value interface{}) error\n- GetConfig(ctx context.Context, key string) (interface{}, error)\n\nTo:\n- SetConfig(ctx context.Context, key string, value string, updatedBy string) error\n- GetConfig(ctx context.Context, key string) (*ConfigEntry, error)\n- ListConfigs(ctx context.Context) ([]*ConfigEntry, error)\n- DeleteConfig(ctx context.Context, key string) error\n\nVERIFY:\n1. ALL implementations of StorageProvider have been updated (check local.go, any cloud implementations, mock implementations in tests)\n2. ALL callers of these methods pass the correct arguments (check handlers/config_storage.go, any other files calling storage.SetConfig/GetConfig)\n3. The return type change from interface{} to *ConfigEntry doesn't break any caller expecting the old type\n4. Test stubs in server_routes_test.go match the new signatures (appears updated but verify all 4 methods)\n5. No other files in the codebase call these methods with the old signatures\n\nFiles to examine:\n- control-plane/internal/storage/storage.go (interface definition)\n- control-plane/internal/storage/local.go (implementation)\n- control-plane/internal/handlers/config_storage.go (callers)\n- control-plane/internal/server/server_routes_test.go (test stubs)\n- Any other files that might implement or call these methods", + "target_files": [ + "control-plane/internal/storage/storage.go", + "control-plane/internal/storage/local.go", + "control-plane/internal/handlers/config_storage.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/server/config_db.go" + ], + "id": "mechanical_mech-002", + "name": "ConfigEntry Type Flow and Handler Response Consistency", + "priority": 8, + "review_prompt": "This PR introduces a new ConfigEntry struct in storage.go and uses it in handlers/config_storage.go.\n\nVERIFY:\n1. The ConfigEntry struct in storage/storage.go has correct JSON tags for API responses (check handlers use it properly)\n2. The handler in config_storage.go correctly serializes *storage.ConfigEntry to JSON responses\n3. ListConfigs returns []*ConfigEntry but the handler returns it directly - verify this doesn't cause JSON marshaling issues\n4. The GetConfig handler checks if entry == nil and returns 404 - verify this nil check is sufficient (entry could be non-nil but contain empty values)\n5. The SetConfig handler reads the body with io.ReadAll and passes it as 'value' string - verify the content-type handling and that binary/config data flows correctly\n6. Check that the import path \"github.com/Agent-Field/agentfield/control-plane/internal/storage\" resolves correctly in handlers/config_storage.go\n\nFiles to examine:\n- control-plane/internal/storage/storage.go (ConfigEntry definition)\n- control-plane/internal/handlers/config_storage.go (handler implementations)\n- control-plane/internal/server/config_db.go (caller of GetConfig)", + "target_files": [ + "control-plane/internal/storage/storage.go", + "control-plane/internal/handlers/config_storage.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/server/config_db.go" + ], + "id": "mechanical_mech-003", + "name": "ConfigReloadFunc Type and Handler Registration", + "priority": 7, + "review_prompt": "This PR defines a ConfigReloadFunc type alias in handlers/config_storage.go and uses it in server/server.go.\n\nVERIFY:\n1. The type alias `type ConfigReloadFunc func() error` in handlers/config_storage.go is correctly exported and can be imported by server.go\n2. NewConfigStorageHandlers receives `reloadFn ConfigReloadFunc` parameter - verify all call sites pass the correct function type\n3. The configReloadFn() method in server.go returns `handlers.ConfigReloadFunc` - verify this method signature matches what the handlers package expects\n4. Check that RegisterRoutes is called with the correct router group and that route paths don't conflict with existing routes\n5. Verify that when reloadFn is nil (AGENTFIELD_CONFIG_SOURCE != \"db\"), the handlers still work correctly (they should, but verify no nil pointer dereference in ReloadConfig handler)\n6. Check that the configMu mutex is properly initialized before configReloadFn is called\n\nFiles to examine:\n- control-plane/internal/handlers/config_storage.go (ConfigReloadFunc definition and usage)\n- control-plane/internal/server/server.go (configReloadFn method and handler registration)\n- control-plane/internal/server/config_db.go (overlayDBConfig function)", + "target_files": [ + "control-plane/internal/handlers/config_storage.go", + "control-plane/internal/server/server.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/storage/memory.go" + ], + "id": "systemic_storage-interface-consistency", + "name": "Storage Interface Extension Pattern", + "priority": 2, + "review_prompt": "Review the StorageProvider interface extension for config storage methods (SetConfig, GetConfig, ListConfigs, DeleteConfig) in control-plane/internal/storage/storage.go. Assess whether these new methods follow the established patterns in the codebase:\n\n1. Compare the signatures and error handling patterns with existing StorageProvider methods like SetMemory/GetMemory/ListMemory/DeleteMemory\n2. Check if the ConfigEntry struct follows the same patterns as other storage structs (e.g., MemoryEntry, ExecutionRecord)\n3. Verify that the LocalStorage implementation in local.go follows the same SQL patterns used elsewhere (transaction handling, context cancellation checks, placeholder variable usage)\n4. Look for any inconsistencies in return types - the old SetConfig/GetConfig returned interface{}, the new ones use concrete types\n\nIdentify any deviations from existing patterns that could introduce maintenance burden or confuse developers working with the storage layer.", + "target_files": [ + "control-plane/internal/storage/storage.go", + "control-plane/internal/storage/local.go", + "control-plane/internal/storage/models.go" + ] + } + ], + "total_budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + } + } + }, + "pr_url": "https://github.com/Agent-Field/agentfield/pull/254", + "review": { + "body": "## \ud83d\udd34 PR-AF Review \u2014 **Needs Major Rework**\n\n*Automated multi-agent code review \u00b7 [PR-AF](https://github.com/Agent-Field/agentfield) built with [AgentField](https://github.com/Agent-Field/agentfield)*\n\n> **25 findings** \u00b7 \ud83d\udd34 8 critical \u00b7 \ud83d\udfe0 12 important \u00b7 \ud83d\udd35 5 suggestions \u00b7 \u26aa 0 nitpicks\n\n
\nPR Overview\n\n## Summary\n- Add `config_storage` table (GORM model + Goose migration 028) for storing configuration files in the database\n- Implement `SetConfig`/`GetConfig`/`ListConfigs`/`DeleteConfig` on the `StorageProvider` interface (works on both SQLite and PostgreSQL)\n- Add `AGENTFIELD_CONFIG_SOURCE=db` environment variable to load config from the database at startup (overlays on top of file config, preserving storage section for bootstrap)\n- Add CRUD API endpoints at `GET/PUT/DELETE /api/v1/configs/:key`\n- Add connector-scoped config routes gated by `config_management` capability\n- Add `config_management` capability to default `agentfield.yaml`\n\n## How It Works\n1. **Store config in DB**: `PUT /api/v1/configs/agentfield.yaml` with YAML body\n2. **Load from DB at startup**: Set `AGENTFIELD_CONFIG_SOURCE=db` \u2192 server reads config from DB after storage init\n3. **Remote management**: SaaS \u2192 connector \u2192 `config_management` capability \u2192 CP config API\n4. **Precedence**: env vars > DB config > file config > defaults\n5. **Bootstrap safety**: The `storage` section is never overridden from DB (DB connection can't come from DB)\n\n## Related PRs\n- Connector: Agent-Field/connector (config_management capability)\n- hax-sdk: Agent-Field/hax-sdk (config editor UI)\n\n## Test plan\n- [x] `go build ./...` passes\n- [x] Server tests pass\n- [x] Storage test failure is pre-existing (FTS5 not available)\n- [ ] Manual test: create config via API, verify it loads on restart with `AGENTFIELD_CONFIG_SOURCE=db`\n- [ ] Manual test: verify connector flow end-to-end\n\n\ud83e\udd16 Generated with [Claude Code](https://claude.com/claude-code)\n\n
\n\n### Key Findings\n\n**20 issue(s) should be addressed before merge:**\n\n- \ud83d\udd34 **Multiple Config Sections Completely Missing from Merge Logic** (`control-plane/internal/server/config_db.go:54`) \u2014 The `mergeDBConfig` function claims to merge DB config values but **entire sections of the Config struct are not merged at all**, effectively ignoring user settings stored in the database.\n- \ud83d\udd34 **MockStorageProvider has outdated SetConfig/GetConfig signatures - will cause compilation failure** (`control-plane/internal/handlers/ui/config_test.go:289`) \u2014 The `MockStorageProvider` in `config_test.go` implements the old `SetConfig` and `GetConfig` method signatures that were changed in this PR.\n- \ud83d\udd34 **MockStorageProvider has outdated SetConfig/GetConfig signatures - will cause compilation failure** (`control-plane/internal/handlers/execute_test.go:173`) \u2014 The `MockStorageProvider` in `execute_test.go` implements the old `SetConfig` and `GetConfig` method signatures that were changed in this PR.\n- \ud83d\udd34 **Missing Mutex Protection for Config Reload - Data Race on s.config** (`control-plane/internal/server/server.go:435`) \u2014 The configReloadFn() function accesses and modifies s.config without any mutex protection, yet multiple goroutines throughout server.go read from s.config concurrently.\n- \ud83d\udd34 **overlayDBConfig Modifies Config Struct In-Place Without Synchronization** (`control-plane/internal/server/config_db.go:19`) \u2014 The overlayDBConfig function modifies the shared cfg struct in-place through mergeDBConfig, creating race conditions with any concurrent readers.\n- \ud83d\udd34 **No request body size limit - potential DoS vulnerability** (`control-plane/internal/handlers/config_storage.go:70`) \u2014 The SetConfig handler uses io.ReadAll(c.Request.Body) without any size limitation.\n- \ud83d\udd34 **Partial config visibility during reload - readers can see half-updated config** (`control-plane/internal/server/config_db.go:42`) \u2014 The `mergeDBConfig()` function at lines 54-103 performs field-by-field merging of DB config into the target config struct.\n- \ud83d\udd34 **Security risk: config_management enabled with write access by default** (`control-plane/config/agentfield.yaml:149`) \u2014 The default configuration enables `config_management` capability with `read_only: false`.\n- \u2026 and 12 more (see All Findings by Severity)\n\n**5 suggestion(s) and style note(s):**\n\n- \ud83d\udd35 ConfigReloadFunc type alias is correctly exported (`control-plane/internal/handlers/config_storage.go:12`)\n- \ud83d\udd35 NewConfigStorageHandlers receives correct function type at all call sites (`control-plane/internal/server/server.go:1552`)\n- \ud83d\udd35 Nil reloadFn is handled correctly in ReloadConfig handler (`control-plane/internal/handlers/config_storage.go:114`)\n- \ud83d\udd35 GetConfig uses string comparison for sql.ErrNoRows instead of errors.Is (`control-plane/internal/storage/local.go:5163`)\n- \ud83d\udd35 CORSConfig Merge Only Handles AllowedOrigins, Missing Other CORS Fields (`control-plane/internal/server/config_db.go:95`)\n\n**Files with findings:** `control-plane/config/agentfield.yaml`, `control-plane/internal/config/config.go`, `control-plane/internal/handlers/config_storage.go`, `control-plane/internal/handlers/execute_test.go`, `control-plane/internal/handlers/ui/config_test.go`, `control-plane/internal/server/config_db.go`, `control-plane/internal/server/server.go`, `control-plane/internal/storage/local.go`\n\n
\nAll Findings by Severity\n\n#### \ud83d\udd34 Critical (8)\n\n- **Multiple Config Sections Completely Missing from Merge Logic** `control-plane/internal/server/config_db.go:54`\n- **MockStorageProvider has outdated SetConfig/GetConfig signatures - will cause compilation failure** `control-plane/internal/handlers/ui/config_test.go:289`\n- **MockStorageProvider has outdated SetConfig/GetConfig signatures - will cause compilation failure** `control-plane/internal/handlers/execute_test.go:173`\n- **Missing Mutex Protection for Config Reload - Data Race on s.config** `control-plane/internal/server/server.go:435`\n- **overlayDBConfig Modifies Config Struct In-Place Without Synchronization** `control-plane/internal/server/config_db.go:19`\n- **No request body size limit - potential DoS vulnerability** `control-plane/internal/handlers/config_storage.go:70`\n- **Partial config visibility during reload - readers can see half-updated config** `control-plane/internal/server/config_db.go:42`\n- **Security risk: config_management enabled with write access by default** `control-plane/config/agentfield.yaml:149`\n\n#### \ud83d\udfe0 Important (12)\n\n- **NodeHealth Struct Merge Uses Blanket Assignment, Risking Data Loss** `control-plane/internal/server/config_db.go:59`\n- **DIDConfig Merge Only Checks Method Field, Missing All Other DID Settings** `control-plane/internal/server/config_db.go:87`\n- **ExecutionCleanup.Enabled Bool Cannot Be Explicitly Set to false Without Changing Other Fields** `control-plane/internal/server/config_db.go:79`\n- **Unprotected concurrent config access during hot reload - potential data race** `control-plane/internal/server/server.go:435`\n- **HealthMonitor caches config values at startup - won't see reloads** `control-plane/internal/server/server.go:160`\n- **WebhookDispatcher caches config values at startup - won't see reloads** `control-plane/internal/server/server.go:366`\n- **ExecutionCleanupService caches config values at startup - won't see reloads** `control-plane/internal/server/server.go:392`\n- **Missing environment variable override for config_management capability** `control-plane/internal/config/config.go:333`\n- **Background Services Cache Config Values at Startup - Reload Has No Effect** `control-plane/internal/server/server.go:366`\n- **Partial Config Visibility Risk - Individual Field Updates Not Atomic** `control-plane/internal/server/config_db.go:54`\n- **DeleteConfig returns 404 for all errors, masking real failures** `control-plane/internal/handlers/config_storage.go:106`\n- **HTTP Server Port Accessed Without Lock During Concurrent Reload** `control-plane/internal/server/server.go:502`\n\n#### \ud83d\udd35 Suggestion (5)\n\n- **ConfigReloadFunc type alias is correctly exported** `control-plane/internal/handlers/config_storage.go:12`\n- **NewConfigStorageHandlers receives correct function type at all call sites** `control-plane/internal/server/server.go:1552`\n- **Nil reloadFn is handled correctly in ReloadConfig handler** `control-plane/internal/handlers/config_storage.go:114`\n- **GetConfig uses string comparison for sql.ErrNoRows instead of errors.Is** `control-plane/internal/storage/local.go:5163`\n- **CORSConfig Merge Only Handles AllowedOrigins, Missing Other CORS Fields** `control-plane/internal/server/config_db.go:95`\n\n
\n\n
\nReview Process Details\n\n**Dimensions Analyzed (6):**\n\n- **Config Merge Correctness** \u2014 1 file(s)\n- **Concurrent Config Access Safety** \u2014 2 file(s)\n- **StorageProvider Interface Method Signature Compatibility** \u2014 3 file(s)\n- **ConfigEntry Type Flow and Handler Response Consistency** \u2014 2 file(s)\n- **ConfigReloadFunc Type and Handler Registration** \u2014 2 file(s)\n- **Storage Interface Extension Pattern** \u2014 3 file(s)\n\n**Meta-Dimension Lenses (3):**\n\n- **Semantic** \u2014 3 dimension(s), 85% coverage confidence\n- **Mechanical** \u2014 3 dimension(s), 85% coverage confidence\n- **Systemic** \u2014 2 dimension(s), 75% coverage confidence\n\n**Cross-Reference & Adversary Analysis:**\n\n- **24** finding(s) adversarially tested: 16 confirmed, 8 challenged\n\n
\n\n
\nPipeline Stats\n\n| Metric | Value |\n|--------|-------|\n| Duration | 1994.4s |\n| Agent invocations | 25 |\n| Coverage iterations | 2 |\n| Estimated cost | N/A (provider does not report cost) |\n| Budget exhausted | No |\n| PR type | : |\n| Complexity | : |\n\n
\n\nReview ID: `rev_5f6ae7c54951`", + "comments": [ + { + "body": "\ud83d\udd34 **[CRITICAL] Multiple Config Sections Completely Missing from Merge Logic**\n\nThe `mergeDBConfig` function claims to merge DB config values but **entire sections of the Config struct are not merged at all**, effectively ignoring user settings stored in the database.\n\n**Missing sections:**\n1. **`AgentField.ExecutionQueue`** (lines 72-78 in config.go): All webhook timeout, retry, and backoff settings are ignored from DB config\n2. **`API.Auth`** (lines 207-212 in config.go): SkipPaths configuration cannot be set from DB\n3. **Most `Features.DID` fields**: Only `Method` is merged; `Enabled`, `KeyAlgorithm`, `DerivationMethod`, `KeyRotationDays`, `VCRequirements`, `Keystore`, and `Authorization` are all ignored\n4. **Most `API.CORS` fields**: Only `AllowedOrigins` is merged; `AllowedMethods`, `AllowedHeaders`, `ExposedHeaders`, `AllowCredentials` are ignored\n5. **Most `NodeHealth` fields**: Only `CheckInterval` is merged; `CheckTimeout`, `ConsecutiveFailures`, `RecoveryDebounce`, `HeartbeatStaleThreshold` are ignored\n\nThis means users who store config in the database expecting to control webhook timeouts, DID authorization policies, CORS settings, or health check parameters will have their settings silently ignored, leading to **configuration drift** between what's stored in DB and what's actually applied.\n\n---\n\n> Step 1: Config struct at config.go:17-23 shows 5 top-level sections\n> Step 2: mergeDBConfig only handles partial subsets:\n> - AgentField: Port, partial NodeHealth (only CheckInterval), ExecutionCleanup, Approval, MISSING ExecutionQueue\n> - Features: Only DID.Method, intentionally skips Connector\n> - API: Only CORS.AllowedOrigins, MISSING Auth entirely\n> - UI: Fully merged\n> - Storage: Explicitly preserved (correct)\n> Step 3: User stores config with ExecutionQueue.WebhookTimeout=30s in DB\n> Step 4: mergeDBConfig has no logic for ExecutionQueue - value is silently ignored\n> Step 5: Server uses default timeout, user configuration is discarded\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd explicit merge logic for all config fields. For struct fields, either:\n1. Merge field-by-field like ExecutionCleanup, or\n2. Check a sentinel field to determine if the struct was intentionally set\n\nAt minimum, add merge logic for:\n- `AgentField.ExecutionQueue` (all fields)\n- `API.Auth.SkipPaths` (check slice length)\n- All `Features.DID` sub-fields\n- All `API.CORS` fields\n- All `NodeHealth` fields\n\n---\n*`Merge Logic Completeness and Correctness` \u00b7 confidence 95%*", + "line": 54, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Missing Mutex Protection for Config Reload - Data Race on s.config**\n\nThe configReloadFn() function accesses and modifies s.config without any mutex protection, yet multiple goroutines throughout server.go read from s.config concurrently.\n\nThe PR description claims configMu.Lock() is acquired during reload (lines 435-442), but NO SUCH MUTEX EXISTS in the codebase. The function directly calls overlayDBConfig(s.config, s.storage) which mutates the config struct in-place via mergeDBConfig().\n\nThis creates a data race:\n- HTTP request handlers read s.config.AgentField.Port, s.config.API.CORS, s.config.Features.DID.Enabled, etc.\n- The reload goroutine (triggered by API call) writes to these same fields\n- No synchronization primitive protects these concurrent accesses\n\nAffected readers include:\n- Route setup code (lines 834-838, 882-893, 913, 919-927, 971)\n- Execute handlers (lines 1246-1247, 1251)\n- Admin routes (lines 1531-1533)\n- DID middleware (lines 890, 1204, 1232)\n- UI routes (lines 1586, 1619)\n\nThis is a critical data race that can cause crashes, memory corruption, or inconsistent config state.\n\n---\n\n> Step 1: configReloadFn() at server.go:435-442 returns a closure that calls overlayDBConfig(s.config, s.storage)\n> Step 2: overlayDBConfig at config_db.go:19-50 calls mergeDBConfig(cfg, andbCfg) at line 42\n> Step 3: mergeDBConfig at config_db.go:54-103 writes directly to target fields like target.AgentField.Port = dbCfg.AgentField.Port (line 57), target.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth (line 60), etc.\n> Step 4: Concurrent goroutines in server.go read s.config fields without any mutex (e.g., line 502: s.config.AgentField.Port, line 834: s.config.API.CORS.AllowedOrigins)\n> Step 5: No configMu or similar mutex exists in the codebase - verified by grep search\n> Result: Unsynchronized concurrent read/write on shared config struct = data race\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a sync.RWMutex field (configMu) to AgentFieldServer struct. Acquire Lock() in configReloadFn() before calling overlayDBConfig, and acquire RLock() in all HTTP handlers that read config. Alternatively, use atomic pointer swap: store config as atomic.Pointer[Config] and swap the entire struct atomically on reload, eliminating need for RLock in readers.\n\n---\n*`Concurrency Safety of Dynamic Config Reload` \u00b7 confidence 95%*", + "line": 435, + "path": "control-plane/internal/server/server.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] overlayDBConfig Modifies Config Struct In-Place Without Synchronization**\n\nThe overlayDBConfig function modifies the shared cfg struct in-place through mergeDBConfig, creating race conditions with any concurrent readers.\n\nCritical issue: The function receives a pointer to the server's config struct and directly mutates its fields:\n- Line 42: mergeDBConfig(cfg, andbCfg) - calls merge function\n- Lines 56-102 in mergeDBConfig: Direct field assignments like target.AgentField.Port = dbCfg.AgentField.Port\n\nThe storage section is protected (saved at line 33, restored at line 45), but all other config sections are unprotected during the merge operation.\n\nThis means concurrent readers can observe:\n1. Partially updated config (e.g., Port updated but NodeHealth not yet updated)\n2. Corrupted memory if writes overlap with reads\n3. Inconsistent state between related fields (e.g., DID.Enabled=true but DID.Authorization config not yet applied)\n\n---\n\n> Step 1: overlayDBConfig receives cfg *config.Config parameter at line 19\n> Step 2: Only storage config is saved: savedStorage := cfg.Storage at line 33\n> Step 3: mergeDBConfig(cfg, andbCfg) at line 42 writes directly to cfg fields\n> Step 4: mergeDBConfig lines 56-102 perform direct assignments: target.AgentField.Port = dbCfg.AgentField.Port, target.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth, etc.\n> Step 5: Storage is restored at line 45: cfg.Storage = savedStorage\n> Result: All non-storage config fields are mutated in-place without atomicity or synchronization\n\n**\ud83d\udca1 Suggested Fix**\n\nOption 1: Require caller to hold mutex before calling overlayDBConfig (document in function comments). Option 2: Have overlayDBConfig create a deep copy of the config, modify the copy, then atomically swap the pointer (requires config to be stored as atomic.Pointer). Option 3: Protect each config section with its own mutex (more granular but complex).\n\n---\n*`Concurrency Safety of Dynamic Config Reload` \u00b7 confidence 95%*", + "line": 19, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] No request body size limit - potential DoS vulnerability**\n\nThe SetConfig handler uses io.ReadAll(c.Request.Body) without any size limitation. This allows attackers to send arbitrarily large request bodies, causing memory exhaustion and potential denial of service. The PR diff indicated a maxConfigBodySize constant (1 MB) and io.LimitReader should be used, but the actual implementation is missing this protection. Impact: An attacker with a valid API key can crash the server by uploading multi-gigabyte config files.\n\n---\n\n> Step 1: Attacker sends PUT /api/v1/configs/agentfield.yaml with a 10GB request body. Step 2: Handler calls io.ReadAll(c.Request.Body). Step 3: io.ReadAll allocates memory proportional to request body size. Step 4: Server runs out of memory and crashes (OOM).\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a body size limit using io.LimitReader. Define const maxConfigBodySize = 1 << 20 // 1 MB. Then use body, err := io.ReadAll(io.LimitReader(c.Request.Body, maxConfigBodySize+1)) and check if len(body) > maxConfigBodySize then return http.StatusRequestEntityTooLarge with appropriate error message.\n\n---\n*`Config Storage Handler Implementation Review` \u00b7 confidence 95%*", + "line": 70, + "path": "control-plane/internal/handlers/config_storage.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Partial config visibility during reload - readers can see half-updated config**\n\nThe `mergeDBConfig()` function at lines 54-103 performs field-by-field merging of DB config into the target config struct. This happens in-place on the shared `s.config` object.\n\n**The Problem:**\n1. If a reader accesses `s.config` during `mergeDBConfig()`, they may see a partially updated config.\n2. For example, if the merge updates `AgentField.Port` first, then gets preempted, a reader might see the new Port but old NodeHealth settings.\n3. This can lead to inconsistent state where different config fields are from different config versions.\n\n**Even worse**, since `configMu` doesn't exist, there's no mutex protection at all. Multiple goroutines can read `s.config` while it's being modified.\n\n---\n\n> Step 1: `overlayDBConfig()` at line 42 calls `mergeDBConfig(cfg, &dbCfg)` where `cfg` is `s.config`.\n> Step 2: `mergeDBConfig()` modifies fields one-by-one (lines 56-103) without atomicity.\n> Step 3: Example: Line 56-58 updates `AgentField.Port`, lines 59-61 update `NodeHealth` - a reader could see new Port but old NodeHealth.\n> Step 4: No atomic snapshot or deep copy is performed.\n> Step 5: The config struct is modified in-place while other goroutines may be reading it.\n\n**\ud83d\udca1 Suggested Fix**\n\nUse atomic config replacement instead of in-place modification:\n\n```go\nfunc (s *AgentFieldServer) configReloadFn() handlers.ConfigReloadFunc {\n return func() error {\n // Load new config\n newCfg := *s.config // Copy current config\n if err := overlayDBConfig(&newCfg, s.storage); err != nil {\n return err\n }\n // Atomically swap\n s.configMu.Lock()\n s.config = &newCfg\n s.configMu.Unlock()\n return nil\n }\n}\n```\n\nThis ensures readers always see a consistent (if potentially stale) config, never a partially updated one.\n\n---\n*`Concurrency Safety of Dynamic Config Reload` \u00b7 confidence 90%*", + "line": 42, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Security risk: config_management enabled with write access by default**\n\nThe default configuration enables `config_management` capability with `read_only: false`. This grants any connector with a valid token write access to server configuration via the database-backed config storage API. Connectors can modify security-critical settings (API keys, admin tokens, DID authorization settings) without admin privileges. This is inconsistent with other sensitive capabilities like `did_management` which defaults to `enabled: false`.\n\n---\n\n> Step 1: agentfield.yaml:149-151 sets `config_management: enabled: true, read_only: false`. Step 2: PR description states connector routes are gated by `config_management` capability check. Step 3: With these defaults, any deployment using the default config exposes write access to configuration. Step 4: Connectors can call PUT/DELETE /api/v1/connector/configs/* to modify server config including auth tokens (lines mentioned in PR context: server.go:1573-1578).\n\n**\ud83d\udca1 Suggested Fix**\n\nChange the default to `enabled: false` or at minimum `read_only: true`. This follows the principle of least privilege and prevents unauthorized configuration modifications. Operators who need connector config management can explicitly enable it after reviewing security implications.\n\n---\n*`Config Merge Correctness` \u00b7 confidence 90%*", + "line": 149, + "path": "control-plane/config/agentfield.yaml", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] NodeHealth Struct Merge Uses Blanket Assignment, Risking Data Loss**\n\nThe `NodeHealth` merge logic at lines 59-61 uses blanket struct assignment when `CheckInterval != 0`:\n\n```go\nif dbCfg.AgentField.NodeHealth.CheckInterval != 0 {\n target.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth\n}\n```\n\n**Problem**: If the DB config only specifies `CheckInterval` but not other fields like `CheckTimeout`, `ConsecutiveFailures`, `RecoveryDebounce`, or `HeartbeatStaleThreshold`, the entire struct is overwritten. This means:\n1. File/env settings for other NodeHealth fields are lost\n2. The zero values from the YAML unmarshal (for unspecified fields) overwrite valid existing values\n\nThis contradicts the function's stated purpose of \"only non-zero/non-empty values from the DB config are applied.\"\n\n---\n\n> Step 1: File config has NodeHealth.CheckTimeout=10s, NodeHealth.CheckInterval=5s\n> Step 2: DB config only sets CheckInterval=15s (leaving others at Go zero values)\n> Step 3: mergeDBConfig checks CheckInterval != 0 (true)\n> Step 4: target.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth assigns entire struct\n> Step 5: target.AgentField.NodeHealth.CheckTimeout becomes 0 (was 10s), data is lost\n\n**\ud83d\udca1 Suggested Fix**\n\nChange NodeHealth merge to field-by-field approach like ExecutionCleanup:\n```go\nif dbCfg.AgentField.NodeHealth.CheckInterval != 0 {\n target.AgentField.NodeHealth.CheckInterval = dbCfg.AgentField.NodeHealth.CheckInterval\n}\nif dbCfg.AgentField.NodeHealth.CheckTimeout != 0 {\n target.AgentField.NodeHealth.CheckTimeout = dbCfg.AgentField.NodeHealth.CheckTimeout\n}\n// etc for all fields\n```\n\n---\n*`Merge Logic Completeness and Correctness` \u00b7 confidence 90%*", + "line": 59, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] DIDConfig Merge Only Checks Method Field, Missing All Other DID Settings**\n\nThe `Features.DID` merge at lines 87-89 only checks if `Method != \"\"` and then does blanket struct assignment:\n\n```go\nif dbCfg.Features.DID.Method != \"\" {\n target.Features.DID = dbCfg.Features.DID\n}\n```\n\n**Problems**:\n1. **Data loss**: Like NodeHealth, this uses blanket assignment, so unspecified fields in DB config overwrite valid file/env settings with zero values\n2. **Cannot set non-Method fields alone**: If a user wants to only change `KeyRotationDays` or `VCRequirements` in DB config without changing `Method`, they cannot - the condition requires Method to be non-empty\n\nThe `DIDConfig` struct (config.go:100-109) has 9 fields, but only `Method` can trigger a merge, and when triggered, all other fields are subject to zero-value overwrite.\n\n---\n\n> Step 1: File config sets DID.Enabled=true, Method=\"did:key\", KeyRotationDays=90\n> Step 2: DB config only sets KeyRotationDays=30 (leaving Method empty)\n> Step 3: Condition Method != \"\" evaluates to false\n> Step 4: No merge happens, KeyRotationDays remains 90 despite DB having 30\n> OR if Method WAS set in DB, entire struct is overwritten, losing file/env settings for unspecified fields\n\n**\ud83d\udca1 Suggested Fix**\n\nImplement field-by-field merge for DIDConfig similar to ExecutionCleanup:\n```go\nif dbCfg.Features.DID.Method != \"\" {\n target.Features.DID.Method = dbCfg.Features.DID.Method\n}\nif dbCfg.Features.DID.KeyAlgorithm != \"\" {\n target.Features.DID.KeyAlgorithm = dbCfg.Features.DID.KeyAlgorithm\n}\n// Handle nested structs like VCRequirements, Keystore, Authorization recursively\n```\n\n---\n*`Merge Logic Completeness and Correctness` \u00b7 confidence 90%*", + "line": 87, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] ExecutionCleanup.Enabled Bool Cannot Be Explicitly Set to false Without Changing Other Fields**\n\nThe logic for merging `ExecutionCleanup.Enabled` (lines 79-81) requires at least one other cleanup field to be non-zero:\n\n```go\nif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 || dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n target.AgentField.ExecutionCleanup.Enabled = dbCfg.AgentField.ExecutionCleanup.Enabled\n}\n```\n\n**Problem**: A user who wants to explicitly **disable** cleanup by setting `enabled: false` in the DB config cannot do so unless they also set `retention_period` or `cleanup_interval` to non-zero values. If they only set `enabled: false` (with other fields at 0), the condition fails and `Enabled` is not updated.\n\nThis violates the principle that users should be able to explicitly set boolean flags to their zero value (false) independently of other fields.\n\n---\n\n> Step 1: File config has ExecutionCleanup.Enabled=true, RetentionPeriod=24h\n> Step 2: User wants to disable cleanup, stores DB config with only 'enabled: false'\n> Step 3: All duration fields in dbCfg are 0 (not specified)\n> Step 4: Condition at line 79 evaluates to false (0 != 0 || 0 != 0)\n> Step 5: target.AgentField.ExecutionCleanup.Enabled remains true, user's explicit false is ignored\n\n**\ud83d\udca1 Suggested Fix**\n\nUse a sentinel/presence check pattern for booleans. Options:\n1. Use a `*bool` pointer type to distinguish between 'not set' and 'explicitly false'\n2. Add a comment explaining that to disable cleanup, users must also set a non-zero retention_period\n3. Always merge Enabled if any ExecutionCleanup field is non-zero (broader check)\n\nRecommended fix:\n```go\n// Check if any cleanup field is configured in DB\ncleanupConfigured := dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 ||\n dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 ||\n dbCfg.AgentField.ExecutionCleanup.BatchSize != 0 ||\n dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration != 0 ||\n dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout != 0\nif cleanupConfigured {\n target.AgentField.ExecutionCleanup.Enabled = dbCfg.AgentField.ExecutionCleanup.Enabled\n}\n```\n\n---\n*`Merge Logic Completeness and Correctness` \u00b7 confidence 85%*", + "line": 79, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Unprotected concurrent config access during hot reload - potential data race**\n\nThe `configReloadFn()` method returns a closure that calls `overlayDBConfig(s.config, s.storage)` without any mutex protection. This creates a data race when the reload endpoint is invoked while background services are reading config values.\n\n**Background services that read config concurrently:**\n- `healthMonitor` - uses `cfg.AgentField.NodeHealth.*` settings (line 160-166)\n- `cleanupService` - uses `cfg.AgentField.ExecutionCleanup.*` settings (line 392)\n- `webhookDispatcher` - uses execution queue settings (line 366-371)\n- `statusManager` - uses heartbeat thresholds (line 133-148)\n\n**The race condition:**\n1. Background goroutines read nested config fields (e.g., `s.config.AgentField.NodeHealth.CheckInterval`)\n2. Hot reload via `POST /api/v1/configs/reload` calls `overlayDBConfig()` which mutates the shared config struct\n3. Go's memory model doesn't guarantee atomicity of struct field writes - readers may see partially updated values\n4. This can cause services to operate with inconsistent configuration\n\n**Note:** While the PR narrative mentions 'Concurrent Config Access' as a known risk, the actual code doesn't implement the necessary synchronization to mitigate it.\n\n---\n\n> Step 1: `configReloadFn()` is defined at server.go:435-442, returns closure calling `overlayDBConfig(s.config, s.storage)`\n> Step 2: `overlayDBConfig()` at config_db.go:19-50 directly mutates `cfg` fields via `mergeDBConfig()`\n> Step 3: Background services initialized in NewAgentFieldServer (lines 133-392) store config references and access them concurrently\n> Step 4: HTTP handlers invoke the reload function without any synchronization barrier\n> Step 5: No mutex is defined in AgentFieldServer struct (lines 48-82)\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a `sync.RWMutex` field to `AgentFieldServer` struct to protect config access:\n\n1. Add `configMu sync.RWMutex` to the struct (line 48-82)\n2. In `configReloadFn()`, acquire write lock before calling `overlayDBConfig`:\n ```go\n return func() error {\n s.configMu.Lock()\n defer s.configMu.Unlock()\n return overlayDBConfig(s.config, s.storage)\n }\n ```\n3. Background services should acquire read locks when accessing config, OR config should be accessed through getter methods that acquire read locks\n\n---\n*`ConfigReloadFunc Type and Usage Verification` \u00b7 confidence 75%*", + "line": 435, + "path": "control-plane/internal/server/server.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Partial Config Visibility Risk - Individual Field Updates Not Atomic**\n\nThe mergeDBConfig function updates config fields one by one, creating a window where readers can see a partially updated configuration. This is a form of torn read.\n\nExample scenario:\n1. Reader goroutine accesses cfg.AgentField.ExecutionCleanup during reload\n2. mergeDBConfig has updated RetentionPeriod but not yet updated CleanupInterval\n3. Reader sees inconsistent state: new retention period with old cleanup interval\n\nSpecific vulnerable fields:\n- Lines 63-81: ExecutionCleanup fields updated individually (RetentionPeriod, CleanupInterval, BatchSize, PreserveRecentDuration, StaleExecutionTimeout, Enabled)\n- Lines 82-84: Approval struct replaced atomically (better, but still mixed with other fields)\n- Lines 87-89: Features.DID struct replaced atomically\n- Lines 95-97: API.CORS struct replaced atomically\n\nThe problem: While individual struct assignments are atomic, the overall config is NOT updated atomically. Between the first and last field update, readers see an inconsistent mix of old and new values.\n\n---\n\n> Step 1: mergeDBConfig at config_db.go:54-103 updates fields sequentially\n> Step 2: Lines 63-81 update ExecutionCleanup field-by-field (not atomic as a group)\n> Step 3: Concurrent reader at server.go:392 accessing s.config.AgentField.ExecutionCleanup could read during updates\n> Step 4: Example race: Writer updates RetentionPeriod at line 64, then gets preempted\n> Step 5: Reader reads ExecutionCleanup struct, sees new RetentionPeriod but old CleanupInterval (line 67 hasn't executed yet)\n> Result: Reader observes inconsistent config state\n\n**\ud83d\udca1 Suggested Fix**\n\nMake config updates atomic by either:\n1. Create a complete new Config struct, populate it with merged values, then atomically swap the pointer (using atomic.Pointer or similar)\n2. Hold a write lock during the entire merge operation, and have all readers acquire read lock (but this blocks readers during reload)\n3. Accept that partial visibility is a known limitation and document which config sections are updated atomically vs field-by-field\n\n---\n*`Concurrency Safety of Dynamic Config Reload` \u00b7 confidence 85%*", + "line": 54, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] DeleteConfig returns 404 for all errors, masking real failures**\n\nThe DeleteConfig handler returns HTTP 404 (Not Found) for ANY error from storage.DeleteConfig(), regardless of the actual error cause. This incorrectly masks database errors, permission errors, or other internal failures as not found conditions. Current behavior: Database connection failure results in 404 Not Found. Expected behavior: Database connection failure results in 500 Internal Server Error. This makes debugging difficult and violates HTTP semantics.\n\n---\n\n> Step 1: Database connection fails during DeleteConfig call. Step 2: storage.DeleteConfig returns error like connection refused. Step 3: Handler returns c.JSON(http.StatusNotFound, ...) for ANY error. Step 4: Client receives misleading 404 status instead of 500.\n\n**\ud83d\udca1 Suggested Fix**\n\nCheck the error type to distinguish not found from other errors. If errors.Is(err, storage.ErrNotFound) then return http.StatusNotFound, otherwise return http.StatusInternalServerError. Or if the storage layer does not return typed errors, check for not found in the error message.\n\n---\n*`Config Storage Handler Implementation Review` \u00b7 confidence 85%*", + "line": 106, + "path": "control-plane/internal/handlers/config_storage.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] ConfigReloadFunc type alias is correctly exported**\n\nThe type alias `ConfigReloadFunc` is correctly defined with an exported name (capitalized) and can be imported by the server package. The function signature `func() error` matches the expected usage pattern for configuration reload callbacks.\n\n---\n\n> Line 12: `type ConfigReloadFunc func() error` - exported type name, correct signature\n\n---\n*`ConfigReloadFunc Type and Usage Verification` \u00b7 confidence 95%*", + "line": 12, + "path": "control-plane/internal/handlers/config_storage.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] Nil reloadFn is handled correctly in ReloadConfig handler**\n\nThe `ReloadConfig` handler correctly checks for nil `reloadFn` at line 115 and returns HTTP 503 with a descriptive error message when config reload is not available (AGENTFIELD_CONFIG_SOURCE != db). This prevents nil pointer dereference.\n\n---\n\n> Line 115-119: `if h.reloadFn == nil { c.JSON(http.StatusServiceUnavailable, gin.H{\"error\": \"config reload not available...\"}) }`\n\n---\n*`ConfigReloadFunc Type and Usage Verification` \u00b7 confidence 95%*", + "line": 114, + "path": "control-plane/internal/handlers/config_storage.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] GetConfig uses string comparison for sql.ErrNoRows instead of errors.Is**\n\nGetConfig checks for 'no rows' condition by comparing err.Error() to a string literal 'sql: no rows in result set' instead of using errors.Is(err, sql.ErrNoRows). This is fragile because the error message string could change in future Go versions or with different database drivers. The standard approach throughout Go codebases is to use errors.Is() for error comparison.\n\n---\n\n> Step 1: GetConfig at local.go:5186 checks `if err.Error() == \"sql: no rows in result set\"`. Step 2: The standard pattern in Go is `if errors.Is(err, sql.ErrNoRows)` as seen in GetWorkflowRun at local.go:300. Step 3: String comparison is fragile - the error message format could change or be driver-specific.\n\n**\ud83d\udca1 Suggested Fix**\n\nReplace the string comparison with standard error checking:\n```go\nif errors.Is(err, sql.ErrNoRows) {\n return nil, nil\n}\n```\nThis requires importing `errors` package (which is already imported in the file).\n\n---\n*`StorageProvider Interface Extension for Config Storage` \u00b7 confidence 90%*", + "line": 5163, + "path": "control-plane/internal/storage/local.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] CORSConfig Merge Only Handles AllowedOrigins, Missing Other CORS Fields**\n\nThe `API.CORS` merge at lines 95-97 only checks `AllowedOrigins` and does blanket assignment:\n\n```go\nif len(dbCfg.API.CORS.AllowedOrigins) > 0 {\n target.API.CORS = dbCfg.API.CORS\n}\n```\n\n**Missing fields** from CORSConfig (config.go:198-204):\n- `AllowedMethods`\n- `AllowedHeaders`\n- `ExposedHeaders`\n- `AllowCredentials`\n\nUsers cannot configure these CORS settings from DB config. Additionally, blanket assignment causes zero-value overwrite issues for unspecified fields.\n\n---\n\n> Step 1: CORSConfig struct at config.go:198-204 has 5 fields\n> Step 2: mergeDBConfig lines 95-97 only checks AllowedOrigins\n> Step 3: User stores DB config with AllowedMethods=[\"POST\", \"GET\"] but no AllowedOrigins\n> Step 4: Condition len(AllowedOrigins) > 0 evaluates to false\n> Step 5: AllowedMethods is ignored, CORS remains with default methods\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd field-by-field merge for all CORS fields:\n```go\nif len(dbCfg.API.CORS.AllowedOrigins) > 0 {\n target.API.CORS.AllowedOrigins = dbCfg.API.CORS.AllowedOrigins\n}\nif len(dbCfg.API.CORS.AllowedMethods) > 0 {\n target.API.CORS.AllowedMethods = dbCfg.API.CORS.AllowedMethods\n}\n// etc for AllowedHeaders, ExposedHeaders\n// For AllowCredentials (bool), use presence of other fields or pointer type\n```\n\n---\n*`Merge Logic Completeness and Correctness` \u00b7 confidence 85%*", + "line": 95, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + } + ], + "event": "REQUEST_CHANGES" + }, + "review_id": "rev_5f6ae7c54951", + "summary": { + "adversary_challenged": 8, + "adversary_confirmed": 16, + "ai_generated_confidence": 0.6666666666666666, + "budget_exhausted": false, + "by_severity": { + "critical": 8, + "important": 12, + "suggestion": 5 + }, + "cost_usd": 0, + "coverage_iterations": 2, + "cross_ref_interactions": 0, + "dimensions_run": 6, + "duration_seconds": 1994.388, + "total_findings": 25 + } +} \ No newline at end of file diff --git a/benchmark/agentfield-254/pr-af-result-sonnet-254.json b/benchmark/agentfield-254/pr-af-result-sonnet-254.json new file mode 100644 index 0000000..3e279a3 --- /dev/null +++ b/benchmark/agentfield-254/pr-af-result-sonnet-254.json @@ -0,0 +1,1139 @@ +{ + "execution_id": "exec_20260310_165506_23twwiqt", + "run_id": "run_20260310_165506_1qym4blk", + "status": "succeeded", + "result": { + "findings": [ + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `MockStorageProvider` in `config_test.go` (and identically in `execute_test.go`) implements `SetConfig` and `GetConfig` with signatures that do **not** match the `StorageProvider` interface defined in `storage/storage.go:133-136`.\n\n**Interface (storage.go:133-136):**\n```go\nSetConfig(ctx context.Context, key string, value string, updatedBy string) error\nGetConfig(ctx context.Context, key string) (*ConfigEntry, error)\nListConfigs(ctx context.Context) ([]*ConfigEntry, error)\nDeleteConfig(ctx context.Context, key string) error\n```\n\n**Mock (config_test.go:289-297):**\n```go\nfunc (m *MockStorageProvider) SetConfig(ctx context.Context, key string, value interface{}) error\nfunc (m *MockStorageProvider) GetConfig(ctx context.Context, key string) (interface{}, error)\n```\n\nDifferences:\n1. `SetConfig`: interface takes `(value string, updatedBy string)`, mock takes `(value interface{})` \u2014 wrong parameter count AND wrong type\n2. `GetConfig`: interface returns `(*ConfigEntry, error)`, mock returns `(interface{}, error)` \u2014 wrong return type\n3. `ListConfigs` is **entirely absent** from the mock\n4. `DeleteConfig` is **entirely absent** from the mock\n\nBecause both files carry `//go:build integration`, these compile errors are **suppressed during default `go test ./...` runs** and will only surface when running with the `integration` build tag. This means the broken mocks are silently excluded from CI unless integration tests are explicitly exercised, creating a false sense of correctness.", + "confidence": 0.98, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "interface-compliance", + "dimension_name": "StorageProvider Interface Implementation Completeness", + "evidence": "Step 1: Interface at storage/storage.go:133 defines `SetConfig(ctx context.Context, key string, value string, updatedBy string) error` with two string parameters after key.\nStep 2: Interface at storage/storage.go:134 defines `GetConfig(ctx context.Context, key string) (*ConfigEntry, error)` returning a concrete pointer type.\nStep 3: Mock at config_test.go:289 implements `SetConfig(ctx context.Context, key string, value interface{}) error` \u2014 only one parameter after key, and typed as `interface{}` not `string`.\nStep 4: Mock at config_test.go:294 implements `GetConfig(ctx context.Context, key string) (interface{}, error)` \u2014 returns `interface{}` not `*storage.ConfigEntry`.\nStep 5: Searching config_test.go for `ListConfigs` and `DeleteConfig` returns 0 matches \u2014 both methods are entirely absent.\nStep 6: execute_test.go:173 and :176 contain identical wrong signatures.\nStep 7: Both files are `//go:build integration` (config_test.go:1, execute_test.go:1), so these compile errors are hidden from default test runs but will break `go test -tags integration ./...`.", + "file_path": "control-plane/internal/handlers/ui/config_test.go", + "id": "f_000", + "line_end": 297, + "line_start": 289, + "score": 1.529, + "severity": "critical", + "suggestion": "Update both mock files to match the current interface signatures exactly:\n```go\nfunc (m *MockStorageProvider) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n args := m.Called(ctx, key, value, updatedBy)\n return args.Error(0)\n}\nfunc (m *MockStorageProvider) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error) {\n args := m.Called(ctx, key)\n if args.Get(0) == nil {\n return nil, args.Error(1)\n }\n return args.Get(0).(*storage.ConfigEntry), args.Error(1)\n}\nfunc (m *MockStorageProvider) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n args := m.Called(ctx)\n if args.Get(0) == nil {\n return nil, args.Error(1)\n }\n return args.Get(0).([]*storage.ConfigEntry), args.Error(1)\n}\nfunc (m *MockStorageProvider) DeleteConfig(ctx context.Context, key string) error {\n args := m.Called(ctx, key)\n return args.Error(0)\n}\n```\nApply the same fix to `internal/handlers/execute_test.go`.", + "tags": [ + "interface-mismatch", + "test", + "compile-error", + "integration-test" + ], + "title": "MockStorageProvider implements SetConfig/GetConfig with wrong signatures and is missing ListConfigs and DeleteConfig entirely" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "When `AGENTFIELD_CONFIG_SOURCE=db` is set, `mergeDBConfig` in `config_db.go:87-89` replaces the **entire** `target.Features.DID` struct \u2014 including `Authorization.AdminToken` and `Authorization.InternalToken` \u2014 with values from the DB-stored YAML if `dbCfg.Features.DID.Method != \"\"`.\n\n```go\n// config_db.go:86-89\nif dbCfg.Features.DID.Method != \"\" {\n target.Features.DID = dbCfg.Features.DID // replaces AdminToken, InternalToken, all auth config\n}\n```\n\nThe comment at line 94 says `// API settings (but never override API key from DB for security)` and correctly protects `API.Auth.APIKey`. However, `AdminToken` (used to guard admin routes including tag approval, policy management, and the config routes themselves) and `InternalToken` (used as bearer for agent-to-agent calls) are both nested under `Features.DID.Authorization` and are **not similarly protected**.\n\nAttack chain:\n1. Attacker calls `PUT /api/v1/configs/agentfield.yaml` with a YAML body containing `features.did.method: did:key` and `features.did.authorization.admin_token: attacker-controlled-token` (unauthenticated, due to Finding 1).\n2. Attacker calls `POST /api/v1/configs/reload` to trigger `overlayDBConfig`.\n3. `mergeDBConfig` sees `dbCfg.Features.DID.Method == \"did:key\"` (non-empty), replaces `target.Features.DID` entirely, overwriting `AdminToken` with the attacker-controlled value.\n4. Attacker now has full `X-Admin-Token` admin access over tag approval, policy management, and all future admin routes.", + "confidence": 0.92, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "auth-config-crud", + "dimension_name": "Config CRUD Route Authorization Gap", + "evidence": "Step 1: Attacker sends `PUT /api/v1/configs/agentfield.yaml` with body `features:\\n did:\\n method: did:key\\n authorization:\\n admin_token: evil-token` \u2014 unauthenticated because `APIKeyAuth` is a no-op when `api_key` is empty (Finding 1).\nStep 2: `SetConfig` at config_storage.go:85 calls `h.storage.SetConfig(ctx, \"agentfield.yaml\", body, \"api\")` \u2014 no validation or sanitization of the YAML content.\nStep 3: Attacker sends `POST /api/v1/configs/reload`. `ReloadConfig` at config_storage.go:121 calls `h.reloadFn()` which calls `overlayDBConfig(s.config, s.storage)` (server.go:440).\nStep 4: `overlayDBConfig` at config_db.go:37-42 parses the stored YAML into `dbCfg` and calls `mergeDBConfig(cfg, &dbCfg)`.\nStep 5: `mergeDBConfig` at config_db.go:87-89: `dbCfg.Features.DID.Method == \"did:key\"` (non-empty), so `target.Features.DID = dbCfg.Features.DID` executes, replacing `Authorization.AdminToken` with `evil-token`.\nStep 6: Subsequent requests using `X-Admin-Token: evil-token` are accepted by `AdminTokenAuth` at middleware/auth.go:99.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_008", + "line_end": 89, + "line_start": 87, + "score": 1.435, + "severity": "critical", + "suggestion": "Add explicit protection in `mergeDBConfig` for security-sensitive fields inside `Features.DID`, mirroring the API key protection at line 94:\n\n```go\nif dbCfg.Features.DID.Method != \"\" {\n // Preserve security-sensitive authorization tokens \u2014 must come from file/env only\n savedAdminToken := target.Features.DID.Authorization.AdminToken\n savedInternalToken := target.Features.DID.Authorization.InternalToken\n target.Features.DID = dbCfg.Features.DID\n target.Features.DID.Authorization.AdminToken = savedAdminToken\n target.Features.DID.Authorization.InternalToken = savedInternalToken\n}\n```\n\nLong-term, fixing Finding 1 (adding AdminTokenAuth to the config routes) removes the unauthenticated write path, making this a defense-in-depth item. Both fixes should be applied.", + "tags": [ + "security", + "authorization-bypass", + "config-injection", + "token-overwrite" + ], + "title": "PUT /configs/agentfield.yaml can overwrite admin_token and internal_token via mergeDBConfig when DID.Method is set" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The comment at line 1550 says `// Config storage routes (admin-authenticated)` but **no `AdminTokenAuth` middleware is applied**. The routes are registered directly on `agentAPI` (the bare `/api/v1` group) with no sub-group and no `.Use(middleware.AdminTokenAuth(...))` call.\n\nCompare this with lines 1532\u20131545 where the actual admin-protected routes are set up:\n\n```go\n// Lines 1532-1545 \u2014 ACTUAL admin auth\nadminGroup := agentAPI.Group(\"\")\nadminGroup.Use(middleware.AdminTokenAuth(s.config.Features.DID.Authorization.AdminToken))\n```\n\nBut the config routes at lines 1551\u20131554 are:\n\n```go\n// Lines 1550-1555 \u2014 NO admin auth applied\n{\n configHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n configHandlers.RegisterRoutes(agentAPI) // directly on agentAPI, NOT on adminGroup\n}\n```\n\nThe **only** protection is the global `middleware.APIKeyAuth` at line 881. As confirmed in `middleware/auth.go:26-29`, when `config.APIKey == \"\"` the middleware is an explicit no-op (`c.Next()` is called immediately). The default `agentfield.yaml` in the repo has **no `api.auth.api_key` field at all**, meaning `cfg.API.Auth.APIKey` is the zero value (empty string). The dev environment therefore runs fully unauthenticated.\n\nThis means on any default or dev deployment:\n- `GET /api/v1/configs` \u2014 lists **all** stored configuration entries including `agentfield.yaml`\n- `GET /api/v1/configs/agentfield.yaml` \u2014 returns the full config YAML including `admin_token`, `internal_token`, `webhook_secret`, DID keystore config\n- `PUT /api/v1/configs/agentfield.yaml` \u2014 overwrites the stored config, and if `AGENTFIELD_CONFIG_SOURCE=db` is set, `POST /api/v1/configs/reload` activates it, allowing an attacker to replace `admin_token`, `cors.allowed_origins`, DID authorization settings, etc.\n- `DELETE /api/v1/configs/:key` \u2014 deletes any stored configuration key", + "confidence": 0.98, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "auth-config-crud", + "dimension_name": "Config CRUD Route Authorization Gap", + "evidence": "Step 1: `setupRoutes()` (server.go:831) registers global middleware including `middleware.APIKeyAuth(middleware.AuthConfig{APIKey: s.config.API.Auth.APIKey, ...})` at line 881.\nStep 2: `middleware.APIKeyAuth` at `middleware/auth.go:26-29` returns `c.Next()` immediately when `config.APIKey == \"\"`.\nStep 3: `agentfield.yaml` (config/agentfield.yaml) has no `api.auth.api_key` key at all. `AuthConfig.APIKey` is an untagged Go string, defaulting to `\"\"`. The `applyEnvOverrides` function at config.go:263 only overrides if `AGENTFIELD_API_KEY` env var is non-empty.\nStep 4: With no API key set, the global middleware is a no-op. No other middleware guards the `/api/v1/configs` routes.\nStep 5: `configHandlers.RegisterRoutes(agentAPI)` at server.go:1553 calls `group.GET(\"/configs\", ...)`, `group.GET(\"/configs/:key\", ...)`, `group.PUT(\"/configs/:key\", ...)`, `group.DELETE(\"/configs/:key\", ...)`, and `group.POST(\"/configs/reload\", ...)` directly on the unauthenticated `agentAPI` group (server.go:1164 `agentAPI := s.Router.Group(\"/api/v1\")`).\nStep 6: `GetConfig` at config_storage.go:51-63 calls `h.storage.GetConfig(ctx, key)` and returns the full entry value without redaction. `ListConfigs` at config_storage.go:35-48 returns all entries.\nStep 7: Any unauthenticated HTTP client can `curl http://localhost:8080/api/v1/configs/agentfield.yaml` and receive the stored YAML including secrets.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_007", + "line_end": 1555, + "line_start": 1550, + "score": 1.176, + "severity": "critical", + "suggestion": "Create a dedicated sub-group with `AdminTokenAuth` applied before registering config routes, mirroring the pattern used for tag-approval and access-policy admin routes (lines 1532\u20131545):\n\n```go\n// Config storage routes \u2014 require admin token\nconfigAdminGroup := agentAPI.Group(\"\")\nconfigAdminGroup.Use(middleware.AdminTokenAuth(s.config.Features.DID.Authorization.AdminToken))\nconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\nconfigHandlers.RegisterRoutes(configAdminGroup)\n```\n\nNote: `AdminTokenAuth` is itself a no-op when `adminToken == \"\"` (see `middleware/auth.go:92-94`), so the admin token must also be required to be non-empty for this to be effective in production. Add a startup warning (similar to line 268) if the config routes are reachable but `AdminToken` is empty.", + "tags": [ + "security", + "authentication", + "authorization", + "missing-auth" + ], + "title": "Config CRUD routes are not admin-authenticated: comment is false, no AdminTokenAuth applied" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `ReloadConfig` handler returns:\n\n```json\n{\"message\": \"config reloaded from database\"}\n```\n\nwith `HTTP 200` when `reloadFn()` succeeds. However, `reloadFn` is `overlayDBConfig`, which **only mutates the in-memory `*config.Config` struct**. As established by the other findings in this review, the overwhelming majority of services that consume config values have already copied those values at construction time and will not observe any change:\n\n- `ExecutionCleanupService` \u2014 reads retention period, cleanup interval, batch size from its own frozen copy\n- `HealthMonitor` \u2014 uses a frozen check interval ticker\n- `WebhookDispatcher` \u2014 uses a frozen `http.Client` timeout\n- `ExecuteHandler`/`ExecuteAsyncHandler` \u2014 use a frozen agent-call timeout\n- `ApprovalWebhookHandler` \u2014 uses a frozen HMAC secret\n- CORS middleware \u2014 configured once at `setupRoutes()` from the config values at that time\n- API key auth middleware \u2014 similarly frozen at route registration\n\nThe only fields that _are_ lazily re-read (because handlers call `s.config.*` directly) are a small subset of route-guard conditions checked on each request. But these are not what callers typically expect to change via a config reload.\n\nThere is **no documented contract** in the handler, any comment block, or any API response body that tells callers which fields are applied immediately versus which require a restart. A caller who updates `execution_cleanup.retention_period` in the DB, calls `POST /configs/reload`, receives `HTTP 200 \"config reloaded from database\"`, and concludes the cleanup service is now running with the new retention period is completely misled.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-reload-behavioral-contract", + "dimension_name": "Config Reload Behavioral Contract", + "evidence": "Step 1: `config_storage.go:121` calls `h.reloadFn()` which is `overlayDBConfig(s.config, s.storage)` (server.go:440).\nStep 2: `overlayDBConfig` calls `mergeDBConfig` which writes to fields of `*config.Config` in place (config_db.go:42,54-102).\nStep 3: All background services examined hold value copies of the mutated fields (see companion findings above).\nStep 4: `config_storage.go:128` returns `{\"message\": \"config reloaded from database\"}` \u2014 no qualification, no list of affected vs. unaffected subsystems.\nStep 5: No code comment, no API documentation file, and no OpenAPI annotation in the target files describes which fields are hot-reloadable.", + "file_path": "control-plane/internal/handlers/config_storage.go", + "id": "f_018", + "line_end": 128, + "line_start": 121, + "score": 1.037, + "severity": "important", + "suggestion": "The response body should be honest about what was applied. At minimum, add a disclaimer: return a structured body listing which config sections were merged and a note that changes to cleanup intervals, health monitor timings, webhook settings, and execution timeouts require a server restart to take effect. Longer term, either (a) implement true hot-reload for each service via `Reconfigure()` methods and enumerate the actually-reloaded subsystems in the response, or (b) make the API contract explicit in documentation and return a `partial_reload` status with a list of fields that only take effect after restart.", + "tags": [ + "api-contract", + "config-reload", + "misleading-response", + "behavioral-contract" + ], + "title": "POST /configs/reload returns HTTP 200 with a success message even though most running services are unaffected by the reload" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `config_storage` table is created via two independent mechanisms that are never coordinated:\n\n1. **GORM AutoMigrate** (`migrations.go:236`): `&ConfigStorageModel{}` is included in the `autoMigrateSchema` call, which runs unconditionally on every server startup for **both** `local` (SQLite) and `postgres` modes.\n2. **Goose SQL migration** (`028_create_config_storage.sql`): A standalone DDL file intended to be run manually via `goose -dir ./migrations postgres ... up` before the server starts in PostgreSQL mode.\n\nEvery other model that has a Goose migration file also relies on GORM AutoMigrate for its schema (e.g., `DIDDocumentModel` \u2194 `019_create_did_documents.sql`, `AccessPolicyModel` \u2194 `021_create_access_policies.sql`, `AgentTagVCModel` \u2194 `022_create_agent_tag_vcs.sql`). This is the **established pattern** for this codebase: Goose files are the PostgreSQL-mode canonical DDL, and GORM AutoMigrate handles schema reconciliation on startup. `config_storage` follows this same dual-path \u2014 so the pattern is consistent \u2014 but the **design itself** is an undocumented hazard for future maintainers.\n\nThe critical risk is schema divergence over time. If a developer adds a column to `ConfigStorageModel` (e.g., `Tags string`), GORM AutoMigrate will silently add that column to both SQLite and PostgreSQL. But Goose migration `028` will not be updated. The reverse is equally true: if someone adds a `CHECK` constraint in a new Goose migration `029_alter_config_storage.sql`, GORM AutoMigrate will not reproduce it on a fresh install that skips Goose. Because neither mechanism has visibility into what the other has done, schema drift is a when-not-if scenario.", + "confidence": 0.92, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "dual-track-schema-management", + "dimension_name": "Dual-Track Schema Management: AutoMigrate vs Goose", + "evidence": "Step 1: `StorageFactory.CreateStorage` (storage.go:350) calls `pgStorage.Initialize(ctx, ...)` for postgres mode.\nStep 2: `Initialize` (local.go:534) calls `ls.initializePostgres(ctx)`.\nStep 3: `initializePostgres` (local.go:734) calls `ls.createSchema(ctx)`.\nStep 4: `createSchema` (local.go:862) calls `ls.autoMigrateSchema(ctx)` unconditionally, which includes `&ConfigStorageModel{}` (migrations.go:236), creating the table via GORM.\nStep 5: The CLAUDE.md documentation instructs operators to also run `goose -dir ./migrations postgres ... up` before starting in PostgreSQL mode, which would also execute `028_create_config_storage.sql` (with `CREATE TABLE IF NOT EXISTS`, so no hard error, but the DDL is effectively applied twice from two separate sources).\nStep 6: No mechanism prevents `ConfigStorageModel` fields from being changed in models.go without a corresponding Goose migration update.", + "file_path": "control-plane/internal/storage/migrations.go", + "id": "f_003", + "line_end": 236, + "line_start": 236, + "score": 1.005, + "severity": "important", + "suggestion": "Document explicitly (in a comment in `migrations.go` near the AutoMigrate list, and in a header comment in `028_create_config_storage.sql`) that for PostgreSQL mode, the Goose file is the authoritative DDL for initial creation and structural constraints, while GORM AutoMigrate handles additive column additions. Add a CI check or test that compares the column set of the GORM model struct against the columns created by the corresponding Goose migration, to detect drift early. Alternatively, adopt the stricter approach used by `kv_store`, `distributed_locks`, and `memory_events` tables: create them entirely via `ensurePostgres*` helper functions (Go code with `CREATE TABLE IF NOT EXISTS`), removing the Goose SQL file entirely for purely application-managed tables.", + "tags": [ + "schema-management", + "migration-pattern", + "maintenance-hazard", + "postgresql" + ], + "title": "Dual-path schema creation for config_storage breaks the established single-source-of-truth migration pattern" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The comment on `AdminTokenAuth` says *\"falls back to global API key auth\"* when `adminToken` is empty. However, the global API key auth is **also** a no-op when `api_key` is empty (confirmed above). The combination means: in the default `agentfield.yaml` configuration where `admin_token: \"admin-secret\"` is set, admin routes are protected \u2014 but any operator who forgets to set `admin_token` in production leaves admin routes fully open.\n\nMore critically for the existing admin group (lines 1532\u20131545), the empty-token guard for `AdminTokenAuth` is the **only** runtime protection difference between DID being enabled and not. The code at server.go:1531 wraps the admin group in a conditional `if s.config.Features.DID.Authorization.Enabled`, but if `Enabled` is `true` and `AdminToken` is `\"\"`, `AdminTokenAuth` is still a no-op.\n\nWhile the default `agentfield.yaml` does ship with `admin_token: \"admin-secret\"` (line 96 of agentfield.yaml), this is a **well-known default credential** that many operators will fail to rotate, providing essentially no real protection.", + "confidence": 0.88, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "auth-config-crud", + "dimension_name": "Config CRUD Route Authorization Gap", + "evidence": "Step 1: `agentfield.yaml:96` sets `admin_token: \"admin-secret\"` \u2014 a known hardcoded default.\nStep 2: If an operator deploys without overriding this, `s.config.Features.DID.Authorization.AdminToken == \"admin-secret\"`.\nStep 3: `AdminTokenAuth(\"admin-secret\")` at middleware/auth.go:99 requires `X-Admin-Token: admin-secret`. Since this value is in the public repo, any attacker who reads the documentation or source code can trivially provide this header.\nStep 4: For the no-api-key case, `middleware.APIKeyAuth` no-ops at line 26-29, so the fallback described in the comment provides zero protection.\nStep 5: `middleware/auth.go:92-94`: `if adminToken == \"\" { c.Next(); return }` \u2014 if AdminToken is unset, all admin route requests pass through.", + "file_path": "control-plane/internal/server/middleware/auth.go", + "id": "f_009", + "line_end": 95, + "line_start": 90, + "score": 0.961, + "severity": "important", + "suggestion": "1. Add a hard startup failure (not just a warning) when `Authorization.Enabled == true && AdminToken == \"\"`. The existing log message at server.go:268 is a warning; it should be a fatal error or at minimum should disable the admin routes entirely.\n2. Consider shipping with an empty `admin_token` in the default config and requiring operators to explicitly set it, rather than shipping a known-bad default (`admin-secret`).\n3. When `AdminTokenAuth` receives an empty token, it should deny all requests rather than being a no-op, since a missing token configuration is a security misconfiguration, not a deliberate bypass.", + "tags": [ + "security", + "default-credentials", + "misconfiguration", + "no-op-middleware" + ], + "title": "AdminTokenAuth is a no-op when adminToken is empty \u2014 existing admin routes (tag approval, policy management) are unprotected in default dev config" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "`GetConfig` at line 5186 checks for the not-found condition by comparing the error's string representation:\n\n```go\nif err.Error() == \"sql: no rows in result set\" {\n return nil, nil\n}\n```\n\nThis is fragile for two reasons:\n\n1. **Driver-dependent string**: The message `\"sql: no rows in result set\"` is the canonical text for `sql.ErrNoRows`, but the comparison bypasses the sentinel value. If any driver wraps `sql.ErrNoRows` (e.g., with `fmt.Errorf(\"...: %w\", sql.ErrNoRows)`), `errors.Is` would still match, but the string comparison would fail \u2014 causing a generic `\"failed to get config\"` error instead of the intended `nil, nil` (not-found) return.\n\n2. **Inconsistency**: Every other `GetX` method in `local.go` uses the idiomatic `errors.Is(err, sql.ErrNoRows)` pattern (e.g., `GetWorkflowRun` at line 300: `if errors.Is(err, sql.ErrNoRows) { return nil, nil }`). This deviation from the established pattern is a latent defect.\n\nThe downstream caller `config_db.go:27` relies on `entry == nil` to mean \"not found\" and prints an informational message. If the string comparison fails under a different driver or future wrapping, `overlayDBConfig` would instead return an error and potentially block server startup.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "interface-compliance", + "dimension_name": "StorageProvider Interface Implementation Completeness", + "evidence": "Step 1: `GetConfig` at local.go:5185-5188 checks `err.Error() == \"sql: no rows in result set\"` to detect missing rows.\nStep 2: `sql.ErrNoRows` is defined in `database/sql` as `var ErrNoRows = errors.New(\"sql: no rows in result set\")` \u2014 the string match coincidentally works today with direct `sql.QueryRowContext` usage.\nStep 3: But `errors.Is(err, sql.ErrNoRows)` is the correct, future-proof idiom \u2014 used by the same file at line 300 (`GetWorkflowRun`), line 302: `if errors.Is(err, sql.ErrNoRows)`.\nStep 4: If the underlying row scan ever returns a wrapped error (driver upgrade, middleware), `err.Error()` will not equal the bare string, causing a generic error to propagate instead of the nil-not-found signal.\nStep 5: `config_db.go:27-29` consumes the nil return from `GetConfig` as \"no config in DB\" and silently continues; a spurious error here would cause `overlayDBConfig` to return an error, propagating to server startup.", + "file_path": "control-plane/internal/storage/local.go", + "id": "f_001", + "line_end": 5187, + "line_start": 5186, + "score": 0.928, + "severity": "important", + "suggestion": "Replace the string comparison with the standard sentinel check, consistent with the rest of the file:\n```go\nif errors.Is(err, sql.ErrNoRows) {\n return nil, nil\n}\n```\nThe `errors` package is already imported at line 8 of `local.go`.", + "tags": [ + "error-handling", + "fragile-comparison", + "not-found" + ], + "title": "GetConfig uses fragile string comparison instead of errors.Is(sql.ErrNoRows) for not-found detection" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `GetConfig` implementation detects a missing key by comparing the error string:\n\n```go\nif err.Error() == \"sql: no rows in result set\" {\n return nil, nil\n}\n```\n\nThis is the critical code path that `overlayDBConfig` depends on for safe early-return when `agentfield.yaml` does not exist in the DB. The guard in `overlayDBConfig` at line 27 (`if entry == nil { return nil }`) is only safe **if** `GetConfig` reliably returns `(nil, nil)` for a not-found key.\n\nThe string comparison is fragile for two concrete reasons:\n\n1. **Standard library contract:** `database/sql` defines `sql.ErrNoRows` as a sentinel error. The idiomatic and safe check is `errors.Is(err, sql.ErrNoRows)`. The string `\"sql: no rows in result set\"` is the `.Error()` text of `sql.ErrNoRows` \u2014 but it is not part of the public API and could change between Go versions.\n\n2. **Wrapped errors:** If any middleware, driver wrapper, or future refactoring wraps the `sql.ErrNoRows` error (e.g., `fmt.Errorf(\"scan failed: %w\", err)`), `err.Error()` will no longer match the literal string, but `errors.Is(err, sql.ErrNoRows)` would still return `true`. A wrapped error would fall through to the generic error path and return `(nil, wrappedError)`, causing `overlayDBConfig` to fail with `\"failed to read config from database\"` instead of silently skipping the DB config \u2014 a behavioral regression that would break startup whenever the DB config key is absent.\n\nWhile the current code works today (the string is stable in the standard `database/sql` implementation), this is an API contract violation that creates a latent bug.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-db-runtime-trace", + "dimension_name": "overlayDBConfig Runtime Execution Trace", + "evidence": "Step 1: `overlayDBConfig` (config_db.go:23) calls `store.GetConfig(ctx, \"agentfield.yaml\")`.\nStep 2: `LocalStorage.GetConfig` (local.go) executes `SELECT ... WHERE key = ?` / `$1`.\nStep 3: If key is absent, `row.Scan` returns `sql.ErrNoRows`.\nStep 4: The implementation checks `err.Error() == \"sql: no rows in result set\"` \u2014 a string literal, not `errors.Is(err, sql.ErrNoRows)`.\nStep 5: If the error is wrapped at any layer (now or in a future refactor), `err.Error()` no longer matches the literal, the condition is false, and the function returns `(nil, fmt.Errorf(\"failed to get config %q: %w\", key, err))`.\nStep 6: `overlayDBConfig` receives `(nil, nonNilError)`, hits the `if err != nil` branch at line 24, and returns `fmt.Errorf(\"failed to read config from database: %w\", err)`.\nStep 7: Server startup fails with an error even though no DB config was intended \u2014 a silent regression triggered by any error-wrapping change in the storage stack.", + "file_path": "control-plane/internal/storage/local.go", + "id": "f_013", + "line_end": 5183, + "line_start": 5179, + "score": 0.928, + "severity": "important", + "suggestion": "Replace the string comparison with `errors.Is`:\n\n```go\nimport (\n \"database/sql\"\n \"errors\"\n)\n\nif errors.Is(err, sql.ErrNoRows) {\n return nil, nil\n}\n```\n\nThis is both idiomatic Go and resilient to error wrapping. No behavioral change for the current code path.", + "tags": [ + "error-handling", + "api-contract", + "sql", + "fragile-comparison", + "startup-path" + ], + "title": "Fragile `no rows` detection via string comparison instead of `errors.Is(sql.ErrNoRows)`" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The config storage routes (`GET/PUT/DELETE /api/v1/configs/:key`, `GET /api/v1/configs`, `POST /api/v1/configs/reload`) are registered directly on the `agentAPI` group at line 1553 via `configHandlers.RegisterRoutes(agentAPI)`. The `agentAPI` group itself has **no middleware** \u2014 authentication is only provided by the global `s.Router.Use(middleware.APIKeyAuth(...))` applied at line 881.\n\nThe `APIKeyAuth` middleware has an explicit early-return when the configured key is empty:\n```go\n// No auth configured, allow everything.\nif config.APIKey == \"\" {\n c.Next()\n return\n}\n```\n\nWhen `AGENTFIELD_API_KEY` / `s.config.API.Auth.APIKey` is not set (which is the default in local/dev mode), **every** config endpoint \u2014 including `PUT /api/v1/configs/:key` (write arbitrary config), `DELETE /api/v1/configs/:key`, and `POST /api/v1/configs/reload` \u2014 is fully unauthenticated and accessible to any HTTP client with network access.\n\nContrast this with the comment on line 1550 which says \"admin-authenticated\": this is **misleading** \u2014 no admin token (`AdminTokenAuth`) is enforced here. The connector-facing duplicate at line 1572\u20131578 at least sits behind `ConnectorTokenAuth` + `ConnectorCapabilityCheck`. The `agentAPI`-facing endpoints have no equivalent protection beyond the optional global API key.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "dual-config-route-registration", + "dimension_name": "Dual Registration of Config Routes", + "evidence": "Step 1: Global auth is registered at server.go:881 \u2014 `s.Router.Use(middleware.APIKeyAuth(middleware.AuthConfig{APIKey: s.config.API.Auth.APIKey, ...}))`. Step 2: `middleware.APIKeyAuth` (middleware/auth.go:26) returns early with `c.Next()` when `config.APIKey == \"\"`. Step 3: `agentAPI` is created at server.go:1164 as `s.Router.Group(\"/api/v1\")` with no middleware of its own. Step 4: `configHandlers.RegisterRoutes(agentAPI)` at server.go:1553 registers `PUT /api/v1/configs/:key`, `DELETE /api/v1/configs/:key`, and `POST /api/v1/configs/reload` directly on that group. Step 5: With default configuration (no API key set), any unauthenticated HTTP request to `PUT /api/v1/configs/some-key` with arbitrary body will write to the config store and return 200 OK.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_011", + "line_end": 1555, + "line_start": 1550, + "score": 0.798, + "severity": "important", + "suggestion": "Register the config routes on a sub-group that requires the admin token middleware, consistent with how other admin-only routes are handled (e.g., the `adminGroup` created at line 1532). Replace:\n```go\n// Config storage routes (admin-authenticated)\n{\n configHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n configHandlers.RegisterRoutes(agentAPI)\n}\n```\nwith:\n```go\n// Config storage routes (admin-authenticated)\n{\n cfgAdminGroup := agentAPI.Group(\"\")\n cfgAdminGroup.Use(middleware.AdminTokenAuth(s.config.Features.DID.Authorization.AdminToken))\n configHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n configHandlers.RegisterRoutes(cfgAdminGroup)\n}\n```\nAlternatively, reuse the existing `adminGroup` (lines 1532\u20131545) if DID authorization is enabled, but ensure a fallback exists when it is not.", + "tags": [ + "security", + "authentication", + "misconfiguration" + ], + "title": "Config routes registered on unauthenticated `agentAPI` group \u2014 no dedicated auth guard" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "Multiple handler and service constructors eagerly copy scalar config values at startup, making them permanently immune to reload:\n\n**1. WebhookDispatcher** (`server.go:366-371`) copies `WebhookTimeout`, `WebhookMaxAttempts`, `WebhookRetryBackoff`, and `WebhookMaxRetryBackoff` into a `WebhookDispatcherConfig` struct stored by value in `webhookDispatcher.cfg`. The `http.Client` timeout (`webhook_dispatcher.go:71-73`) is set once from this config and never updated.\n\n**2. `ExecuteHandler` and `ExecuteAsyncHandler`** (`server.go:1246-1247`) copy `cfg.AgentField.ExecutionQueue.AgentCallTimeout` and `cfg.Features.DID.Authorization.InternalToken` as bare `time.Duration` and `string` values into the `executionController` struct (`execute.go:198-212`). Even if `overlayDBConfig` were to update these fields, the registered route closures hold independent copies.\n\n**3. `ApprovalWebhookHandler`** (`server.go:1267`) passes `cfg.AgentField.Approval.WebhookSecret` as a `string` argument. The `webhookApprovalController` captures this string at registration time (`webhook_approval.go:127-129`). A DB reload that changes the HMAC secret will leave the running handler verifying against the old secret.\n\nIn all three cases, the issue is the same: `setupRoutes()` is called once at `Start()` time, and all handler constructors receive primitive copies of config fields. There is no mechanism to re-register routes or re-inject values after `configReloadFn` runs.", + "confidence": 0.93, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-reload-behavioral-contract", + "dimension_name": "Config Reload Behavioral Contract", + "evidence": "Step 1: `server.go:366-371` constructs `WebhookDispatcherConfig` by copying four scalar values from `cfg`; `webhook_dispatcher.go:66-74` stores this config by value and bakes the timeout into `http.Client{Timeout: normalized.Timeout}`.\nStep 2: `server.go:1246` passes `s.config.AgentField.ExecutionQueue.AgentCallTimeout` as a `time.Duration` argument; `execute.go:169,198-212` stores it in `executionController.timeout` \u2014 a plain struct field.\nStep 3: `server.go:1267` passes `s.config.AgentField.Approval.WebhookSecret` as a `string`; `webhook_approval.go:127-129` stores it in `webhookApprovalController.webhookSecret`.\nStep 4: `server.go:439-441` shows `configReloadFn` only mutates `s.config` in memory; `setupRoutes()` is never called again, so no handler is re-registered with new values.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_017", + "line_end": 371, + "line_start": 366, + "score": 0.781, + "severity": "important", + "suggestion": "For operational parameters that must be hot-reloadable (timeouts, retry counts, secrets), pass the parent `*config.Config` pointer into handlers and read values lazily on each request, or wrap the values behind an `atomic.Value` / `sync.RWMutex`-protected struct updated by the reload function. For the webhook secret specifically, changing HMAC validation secrets mid-flight is a security-sensitive operation that should be explicitly documented as requiring a restart, since there is a window where in-flight requests with the old signature will be rejected.", + "tags": [ + "eager-copy", + "config-reload", + "behavioral-contract", + "webhook", + "security" + ], + "title": "WebhookDispatcher and ExecuteHandler/ApprovalWebhookHandler capture config values eagerly: reload cannot change webhook timeouts, agent-call timeout, secrets, or internal token" + }, + { + "active_multipliers": [ + "adversary_challenged", + "ai_generated_pr" + ], + "body": "**`ExecutionCleanupService`** stores `config.ExecutionCleanupConfig` as a **value copy** (not a pointer) in its struct field:\n\n```go\n// execution_cleanup.go:16\ntype ExecutionCleanupService struct {\n storage storage.StorageProvider\n config config.ExecutionCleanupConfig // value copy, not *config.ExecutionCleanupConfig\n ...\n}\n```\n\nAt construction time (`server.go:392`), the current value of `cfg.AgentField.ExecutionCleanup` is copied into the service struct:\n\n```go\ncleanupService := handlers.NewExecutionCleanupService(storageProvider, cfg.AgentField.ExecutionCleanup)\n```\n\nThe `cleanupLoop` (`execution_cleanup.go:96`) creates a `time.NewTicker(ecs.config.CleanupInterval)` from this value-copy and then **never re-reads the config**. The `performCleanup` method reads `ecs.config.RetentionPeriod`, `ecs.config.BatchSize`, and `ecs.config.StaleExecutionTimeout` directly from the same frozen copy.\n\nWhen `POST /configs/reload` is called, `overlayDBConfig` mutates the in-memory `*config.Config` struct (e.g., updating `cfg.AgentField.ExecutionCleanup.RetentionPeriod`), but the running `ExecutionCleanupService` goroutine holds its own copy \u2014 those fields are **never updated**. A caller who changes the retention period from 72h to 24h via the DB config and then calls reload will see the old 72h behavior continue until the server restarts.", + "confidence": 0.97, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-reload-behavioral-contract", + "dimension_name": "Config Reload Behavioral Contract", + "evidence": "Step 1: `server.go:392` calls `handlers.NewExecutionCleanupService(storageProvider, cfg.AgentField.ExecutionCleanup)` \u2014 passing the config struct by value.\nStep 2: `execution_cleanup.go:29-35` stores this value in `ecs.config config.ExecutionCleanupConfig` (not a pointer).\nStep 3: `execution_cleanup.go:96` calls `time.NewTicker(ecs.config.CleanupInterval)` \u2014 ticker interval is baked in at goroutine start.\nStep 4: `execution_cleanup.go:124,125,134,147,164` read `ecs.config.RetentionPeriod`, `ecs.config.BatchSize`, `ecs.config.StaleExecutionTimeout` from the frozen copy on every invocation.\nStep 5: `server.go:439-441` (configReloadFn) calls `overlayDBConfig(s.config, s.storage)` which mutates `s.config.AgentField.ExecutionCleanup` in place.\nStep 6: The `cleanupService` struct holds a completely independent copy \u2014 no path exists from the mutated `s.config` to the running service's fields.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_015", + "line_end": 392, + "line_start": 392, + "score": 0.407, + "severity": "important", + "suggestion": "Change `ExecutionCleanupService.config` to a pointer (`*config.ExecutionCleanupConfig`) or wrap it in an atomic/sync-protected accessor. Then pass a pointer at construction: `handlers.NewExecutionCleanupService(storageProvider, &cfg.AgentField.ExecutionCleanup)`. The cleanup loop and `performCleanup` will then read through the pointer and observe any in-place mutations made by `overlayDBConfig`. Alternatively, if pointer semantics are avoided, add a `UpdateConfig(cfg config.ExecutionCleanupConfig)` method and call it from within `configReloadFn`.", + "tags": [ + "eager-copy", + "config-reload", + "behavioral-contract", + "cleanup-service" + ], + "title": "ExecutionCleanupService copies config by value at construction: reload has zero effect on running behavior" + }, + { + "active_multipliers": [ + "adversary_challenged", + "ai_generated_pr" + ], + "body": "**`HealthMonitor`** receives a `HealthMonitorConfig` struct **by value** at construction and stores it as `hm.config HealthMonitorConfig` (not a pointer):\n\n```go\n// health_monitor.go:50\ntype HealthMonitor struct {\n config HealthMonitorConfig // value copy\n ...\n}\n```\n\nThe `Start()` method at `health_monitor.go:217` creates a ticker from the frozen copy:\n\n```go\nticker := time.NewTicker(hm.config.CheckInterval)\n```\n\nThis ticker is never reset after construction. When `POST /configs/reload` mutates `s.config.AgentField.NodeHealth.CheckInterval` via `overlayDBConfig` (`config_db.go:59-61`), the health monitor's loop continues running at the original check interval indefinitely.\n\nSimilarly, `cfg.AgentField.NodeHealth.HeartbeatStaleThreshold` is copied at construction into `StatusManagerConfig` (`server.go:137`), and that struct is also stored by value in the `StatusManager`. None of these operational parameters take effect until restart.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-reload-behavioral-contract", + "dimension_name": "Config Reload Behavioral Contract", + "evidence": "Step 1: `server.go:160-165` constructs `healthMonitorConfig` from `cfg.AgentField.NodeHealth.*` by value.\nStep 2: `server.go:166` passes this value to `services.NewHealthMonitor(...)`, which stores it in `hm.config` at `health_monitor.go:85`.\nStep 3: `health_monitor.go:217` calls `time.NewTicker(hm.config.CheckInterval)` once; the ticker is never recreated.\nStep 4: `config_db.go:59-61` shows `mergeDBConfig` updates `target.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth` on reload.\nStep 5: `server.go:439-441` shows `configReloadFn` updates `s.config` via `overlayDBConfig`, but the running `healthMonitor` field holds a fully independent value copy with no reference back to `s.config`.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_016", + "line_end": 166, + "line_start": 160, + "score": 0.399, + "severity": "important", + "suggestion": "Pass a pointer to the config, or add a `Reconfigure(cfg HealthMonitorConfig)` method that stops the existing ticker and restarts the loop with new intervals. For the common case where only the interval changes, the stop/start approach is straightforward: call `hm.Stop()` then restart with the new config. If the goal is zero-downtime reconfiguration, store config behind a `sync/atomic.Value` or `sync.RWMutex` and re-read it at each tick loop iteration.", + "tags": [ + "eager-copy", + "config-reload", + "behavioral-contract", + "health-monitor" + ], + "title": "HealthMonitor copies config by value at construction: NodeHealth interval/timeout changes on reload are silently ignored" + }, + { + "active_multipliers": [ + "adversary_challenged", + "ai_generated_pr" + ], + "body": "**`setupRoutes()`** is called once from `Start()` and constructs a `cors.Config` value by copying fields directly from `s.config.API.CORS`:\n\n```go\ncorsConfig := cors.Config{\n AllowOrigins: s.config.API.CORS.AllowedOrigins,\n AllowMethods: s.config.API.CORS.AllowedMethods,\n AllowHeaders: s.config.API.CORS.AllowedHeaders,\n ExposeHeaders: s.config.API.CORS.ExposedHeaders,\n AllowCredentials: s.config.API.CORS.AllowCredentials,\n}\ns.Router.Use(cors.New(corsConfig))\n```\n\nThe `gin-contrib/cors` middleware is a `gin.HandlerFunc` closure that captures the `cors.Config` by value at the time `cors.New()` is called. Even though `mergeDBConfig` (`config_db.go:95-97`) explicitly handles CORS updates:\n\n```go\nif len(dbCfg.API.CORS.AllowedOrigins) > 0 {\n target.API.CORS = dbCfg.API.CORS\n}\n```\n\n...this update reaches `s.config.API.CORS`, but the already-registered Gin middleware closure is completely unaffected. Requests after a reload continue to use the original CORS policy.\n\nThis is particularly notable because CORS is one of the primary reasons an operator would want a runtime config reload \u2014 e.g., to add a new allowed origin for a newly deployed frontend. The API surface implies this is a supported use case, but it does not work.", + "confidence": 0.92, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-reload-behavioral-contract", + "dimension_name": "Config Reload Behavioral Contract", + "evidence": "Step 1: `server.go:831` `setupRoutes()` is called from `server.go:447` (`s.setupRoutes()`) inside `Start()`.\nStep 2: `server.go:833-839` constructs `cors.Config` from `s.config.API.CORS.*` \u2014 these are value copies (slice headers are copied, not the underlying arrays, but a new CORS config replaces them with new slice references that the middleware never sees).\nStep 3: `server.go:852` calls `s.Router.Use(cors.New(corsConfig))` \u2014 the `gin-contrib/cors` middleware captures this struct at call time.\nStep 4: `config_db.go:95-97` shows `mergeDBConfig` updates `target.API.CORS` in the live `*config.Config`, but the Gin router's middleware chain is immutable after `setupRoutes()` returns.\nStep 5: `configReloadFn` (server.go:439-441) never calls `setupRoutes()` again.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_019", + "line_end": 852, + "line_start": 831, + "score": 0.386, + "severity": "important", + "suggestion": "Use a `sync.RWMutex`-protected wrapper around the CORS config and implement a custom middleware that reads the live config pointer on each request rather than using `cors.New()` at setup time. Alternatively, replace the static middleware with a dynamic closure:\n```go\ns.Router.Use(func(c *gin.Context) {\n // Read current CORS config on each request\n cfg := s.config.API.CORS // reads through the *config.Config pointer\n cors.New(cors.Config{AllowOrigins: cfg.AllowedOrigins, ...})(c)\n})\n```\nNote: this has performance implications (allocates a new middleware on each request). A better approach is to cache the `cors.Handler` behind an `atomic.Pointer[cors.Config]` and swap it on reload.", + "tags": [ + "eager-copy", + "config-reload", + "cors", + "middleware", + "behavioral-contract" + ], + "title": "CORS middleware is registered once at startup: reloading API.CORS config has no effect on running requests" + }, + { + "active_multipliers": [ + "adversary_challenged", + "ai_generated_pr" + ], + "body": "Tables with `updated_at` columns in the Goose migrations for this codebase are paired with `BEFORE UPDATE` triggers that call `update_updated_at_column()`. For example:\n- `workflow_runs` (migration 011) has `CREATE TRIGGER update_workflow_runs_updated_at BEFORE UPDATE ... EXECUTE FUNCTION update_updated_at_column()`\n- `workflow_steps` (migration 011) has the same pattern\n\nMigration `028_create_config_storage.sql` defines `updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()` but **does not create an `BEFORE UPDATE` trigger** to keep `updated_at` current on row modifications.\n\nFor the `SetConfig` raw SQL path (local.go:5138-5147), `updated_at` is manually set by the application code (`updated_at = EXCLUDED.updated_at` where `EXCLUDED.updated_at` is the Go `now` variable). This means correctness depends entirely on every code path that touches `config_storage` explicitly setting `updated_at`. GORM's `autoUpdateTime` tag on `ConfigStorageModel.UpdatedAt` only fires when GORM ORM methods are used; the `SetConfig` / `GetConfig` / `DeleteConfig` implementations bypass GORM entirely and use raw `database/sql` queries.\n\nCurrently `SetConfig` does correctly set `updated_at`, so this is not an active bug. But the lack of a DB-level trigger means:\n1. Any future raw SQL that `UPDATE config_storage SET value = ... WHERE key = ...` without explicitly setting `updated_at` will silently leave `updated_at` stale.\n2. The schema contract is different from peer tables, making it a maintenance trap for contributors who see the trigger pattern on `workflow_runs` and assume it also exists on `config_storage`.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "dual-track-schema-management", + "dimension_name": "Dual-Track Schema Management: AutoMigrate vs Goose", + "evidence": "Step 1: `028_create_config_storage.sql` lines 10-11 declare `updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()` but contain no trigger DDL.\nStep 2: `011_create_workflow_runs_and_steps.sql` lines 47-54 show the expected pattern: `CREATE TRIGGER update_workflow_runs_updated_at BEFORE UPDATE ON workflow_runs FOR EACH ROW EXECUTE FUNCTION update_updated_at_column()`.\nStep 3: `SetConfig` in local.go:5137-5147 does manually pass `updated_at = EXCLUDED.updated_at` in the ON CONFLICT clause, so the current implementation is correct.\nStep 4: However, any future `UPDATE config_storage SET value = $1 WHERE key = $2` without an explicit `updated_at` clause would leave the column stale \u2014 the DB trigger pattern that prevents this on other tables is absent here.", + "file_path": "control-plane/migrations/028_create_config_storage.sql", + "id": "f_004", + "line_end": 11, + "line_start": 10, + "score": 0.357, + "severity": "important", + "suggestion": "Add a `BEFORE UPDATE` trigger to migration `028_create_config_storage.sql` mirroring the pattern in migration `011`:\n```sql\nCREATE TRIGGER update_config_storage_updated_at\n BEFORE UPDATE ON config_storage\n FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();\n```\nAnd add its DROP to the `-- +goose Down` section. This makes `updated_at` maintenance a DB invariant rather than an application-layer responsibility, consistent with how `workflow_runs` and `workflow_steps` are managed.", + "tags": [ + "schema-consistency", + "trigger-missing", + "updated_at", + "maintenance-hazard" + ], + "title": "Goose migration for config_storage omits the updated_at auto-update trigger that equivalent tables have, and GORM autoUpdateTime does not replace it" + }, + { + "active_multipliers": [ + "adversary_challenged", + "ai_generated_pr" + ], + "body": "`SetConfig` at config_storage.go:67 accepts any `key` from the URL parameter and any raw body as the value. There is no allowlist of permitted keys, no validation that the value is well-formed YAML when the key implies a YAML config file, and no protection against overwriting critical system keys.\n\nSpecific concerns:\n1. **Key `agentfield.yaml`** can be written with arbitrary content. When loaded via `overlayDBConfig`, a YAML parse error at `config_db.go:37` only returns a warning \u2014 the server does not crash but the config is partially loaded in an inconsistent state.\n2. **Arbitrary key injection**: An attacker can store keys like `../../../../etc/passwd` \u2014 while the storage layer likely sanitizes this, there is no explicit check in the handler.\n3. **No content-type enforcement**: The handler accepts any body as a raw string regardless of content type. The comment says \"Accepts raw YAML/text body\" but this is not validated.\n4. The `updatedBy` field at line 80-83 is taken directly from the `X-Updated-By` header with no sanitization \u2014 this is stored in the audit log and could be used for log injection.", + "confidence": 0.82, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "auth-config-crud", + "dimension_name": "Config CRUD Route Authorization Gap", + "evidence": "Step 1: `PUT /api/v1/configs/` calls `SetConfig` at config_storage.go:67.\nStep 2: `key := c.Param(\"key\")` at line 68 \u2014 raw URL parameter, no validation.\nStep 3: `body, err := io.ReadAll(c.Request.Body)` at line 70 \u2014 reads entire body as-is.\nStep 4: `h.storage.SetConfig(ctx, key, string(body), updatedBy)` at line 85 \u2014 stores without validation.\nStep 5: `updatedBy := c.GetHeader(\"X-Updated-By\")` at line 80 \u2014 user-controlled string stored in DB audit field.", + "file_path": "control-plane/internal/handlers/config_storage.go", + "id": "f_010", + "line_end": 101, + "line_start": 67, + "score": 0.344, + "severity": "important", + "suggestion": "1. Add an allowlist of permitted config keys (e.g., only `agentfield.yaml` or a predefined set), or at minimum validate the key does not contain path traversal characters.\n2. Validate that the body is valid YAML when the key ends in `.yaml` before persisting it.\n3. Sanitize the `X-Updated-By` header value (strip control characters, limit length).\n4. Return a clear error if the key is not in the allowlist.", + "tags": [ + "security", + "input-validation", + "missing-allowlist" + ], + "title": "SetConfig accepts arbitrary keys and values with no validation \u2014 allows storing malformed YAML or overwriting critical system keys" + }, + { + "active_multipliers": [ + "adversary_challenged", + "ai_generated_pr" + ], + "body": "The `DeleteConfig` HTTP handler at line 106-108 responds with `http.StatusNotFound` (404) for **any** error returned by `storage.DeleteConfig`:\n\n```go\nif err := h.storage.DeleteConfig(c.Request.Context(), key); err != nil {\n c.JSON(http.StatusNotFound, gin.H{\"error\": err.Error()})\n return\n}\n```\n\nHowever, the storage implementation (`local.go:5235-5244`) can return two distinct error categories:\n- A not-found sentinel: `fmt.Errorf(\"config %q not found\", key)` when `RowsAffected() == 0`\n- A database execution error: `fmt.Errorf(\"failed to delete config %q: %w\", key, err)` for actual DB failures\n\nMapping a database-level error (connection failure, disk full, constraint violation) to 404 is semantically incorrect and will mislead API clients and operators. A DB failure should produce 500 Internal Server Error.", + "confidence": 0.92, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "interface-compliance", + "dimension_name": "StorageProvider Interface Implementation Completeness", + "evidence": "Step 1: `DeleteConfig` in local.go:5235 executes `DELETE FROM config_storage WHERE key = ?`.\nStep 2: If `db.ExecContext` returns an error (network, disk, constraint), local.go:5237-5239 returns `fmt.Errorf(\"failed to delete config %q: %w\", key, err)`.\nStep 3: If `RowsAffected() == 0`, local.go:5242 returns `fmt.Errorf(\"config %q not found\", key)`.\nStep 4: The handler at config_storage.go:107 maps BOTH error types to `http.StatusNotFound` (404).\nStep 5: A database execution failure will be surfaced to the API client as a 404, concealing the real 5xx nature of the error.", + "file_path": "control-plane/internal/handlers/config_storage.go", + "id": "f_002", + "line_end": 110, + "line_start": 104, + "score": 0.166, + "severity": "suggestion", + "suggestion": "Distinguish between not-found and server errors. One approach is to check the error message or define a sentinel type in the storage layer:\n```go\nif err := h.storage.DeleteConfig(c.Request.Context(), key); err != nil {\n // Check if it's a not-found error vs. a storage failure\n if strings.Contains(err.Error(), \"not found\") {\n c.JSON(http.StatusNotFound, gin.H{\"error\": err.Error()})\n } else {\n c.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n }\n return\n}\n```\nA cleaner solution is to define a typed `ErrNotFound` sentinel in the storage package and use `errors.Is` in the handler.", + "tags": [ + "error-handling", + "http-status", + "api-contract" + ], + "title": "DeleteConfig handler returns 404 for all storage errors, including 500-class failures" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The Goose migration defines `key TEXT NOT NULL UNIQUE` on line 5 (which in PostgreSQL automatically creates a unique B-tree index on `key`) and then explicitly creates `CREATE INDEX IF NOT EXISTS idx_config_storage_key ON config_storage(key)` on line 14. The explicit non-unique index on `key` is redundant because PostgreSQL will always prefer the unique index for lookups on that column.\n\nThis is a minor inefficiency: two indexes occupy storage and must be updated on every INSERT/UPDATE/DELETE to `config_storage`. The duplicate won't cause incorrect behavior, but it wastes space and write amplification.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "dual-track-schema-management", + "dimension_name": "Dual-Track Schema Management: AutoMigrate vs Goose", + "evidence": "Step 1: `028_create_config_storage.sql` line 5 defines `key TEXT NOT NULL UNIQUE`.\nStep 2: PostgreSQL documentation states a UNIQUE constraint automatically creates a unique B-tree index on the constrained column(s), which can be used for point lookups just as a regular index can.\nStep 3: Line 14 then creates a separate non-unique index `idx_config_storage_key ON config_storage(key)`, duplicating coverage already provided by the unique constraint index.", + "file_path": "control-plane/migrations/028_create_config_storage.sql", + "id": "f_005", + "line_end": 14, + "line_start": 14, + "score": 0.148, + "severity": "nitpick", + "suggestion": "Remove the explicit `CREATE INDEX IF NOT EXISTS idx_config_storage_key ON config_storage(key)` from the `-- +goose Up` section and its corresponding `DROP INDEX` from `-- +goose Down`. The UNIQUE constraint already provides an index suitable for all single-column equality lookups on `key`.", + "tags": [ + "schema", + "redundant-index", + "performance", + "postgresql" + ], + "title": "Redundant index on config_storage(key): the UNIQUE constraint already implies a unique index" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "Both the not-found path (line 28) and the success path (line 47) log via `fmt.Println` / `fmt.Printf` rather than the project's structured logger (`zerolog`).\n\nThe CLAUDE.md project guidance specifies:\n> Use zerolog for structured logging: `logger.Logger.Info().Msg(\"message\")`\n\nUsing `fmt.Print*` here:\n- Bypasses log-level filtering (these messages always appear, even in production with `LOG_LEVEL=warn`)\n- Produces unstructured output that cannot be parsed by log aggregation systems\n- Is inconsistent with the rest of the control-plane codebase\n\nThis is a style/maintainability issue, not a correctness bug.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-db-runtime-trace", + "dimension_name": "overlayDBConfig Runtime Execution Trace", + "evidence": "Line 28: `fmt.Println(\"[config] No database config found (key: agentfield.yaml), using file/env config only.\")`\nLine 47: `fmt.Printf(\"[config] Loaded config from database (key: %s, version: %d, updated: %s)\\n\", ...)`\nBoth bypass zerolog, the structured logger used throughout the rest of the control-plane (per CLAUDE.md and observed usage in other files).", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_014", + "line_end": 47, + "line_start": 28, + "score": 0.148, + "severity": "nitpick", + "suggestion": "Replace `fmt.Println` / `fmt.Printf` with the zerolog structured logger:\n\n```go\nimport \"github.com/Agent-Field/agentfield/control-plane/internal/logger\"\n\n// not-found path:\nlogger.Logger.Info().Str(\"key\", dbConfigKey).Msg(\"No database config found, using file/env config only\")\n\n// success path:\nlogger.Logger.Info().\n Str(\"key\", entry.Key).\n Int(\"version\", entry.Version).\n Time(\"updated\", entry.UpdatedAt).\n Msg(\"Loaded config from database\")\n```", + "tags": [ + "logging", + "style", + "zerolog", + "structured-logging" + ], + "title": "`fmt.Println`/`fmt.Printf` used for logging instead of the structured logger" + }, + { + "active_multipliers": [ + "adversary_challenged", + "ai_generated_pr" + ], + "body": "The `ConfigStorageModel.Version` field is declared with `gorm:\"column:version;not null;default:1\"` and the auto-increment is implemented purely in application SQL via `version = config_storage.version + 1` in `SetConfig` (local.go:5143, 5156). Neither the GORM model nor the Goose migration adds a `CHECK (version > 0)` constraint or a sequence-based mechanism.\n\nThis means:\n1. Any code path that uses GORM ORM methods directly (e.g., `db.Save(&ConfigStorageModel{..., Version: 0, ...})`) will set version to 0 or any arbitrary value, bypassing the increment logic.\n2. The `version` field comment says it is for \"audit trail\" (models.go:478), but without a monotonically-increasing guarantee at the DB level, audit integrity can be violated silently.\n\nThis is a suggestion rather than a critical issue because currently all writes go through the raw-SQL `SetConfig` which correctly increments. But the model struct exposes `Version int` as a writable field, and future GORM-based code would not benefit from the increment.", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "dual-track-schema-management", + "dimension_name": "Dual-Track Schema Management: AutoMigrate vs Goose", + "evidence": "Step 1: `ConfigStorageModel.Version` is `int` with `gorm:\"column:version;not null;default:1\"` (models.go:483) \u2014 no GORM constraint prevents setting it to any value.\nStep 2: `SetConfig` increments via `version = config_storage.version + 1` in the ON CONFLICT clause (local.go:5143, 5156) \u2014 this is correct.\nStep 3: But any direct GORM call like `gormDB.Save(&ConfigStorageModel{Key: \"k\", Value: \"v\", Version: 0})` would set version to 0, no DB constraint prevents it.\nStep 4: `028_create_config_storage.sql` line 7 defines `version INTEGER NOT NULL DEFAULT 1` with no CHECK constraint.", + "file_path": "control-plane/internal/storage/models.go", + "id": "f_006", + "line_end": 483, + "line_start": 483, + "score": 0.135, + "severity": "suggestion", + "suggestion": "Add a `CHECK (version >= 1)` constraint in migration `028_create_config_storage.sql`:\n```sql\nversion INTEGER NOT NULL DEFAULT 1 CHECK (version >= 1),\n```\nThis at minimum prevents accidental version-0 writes. For a stronger audit guarantee, document that GORM's ORM Save/Create methods should never be used directly on `ConfigStorageModel`; only `SetConfig`/`DeleteConfig` are the sanctioned write paths.", + "tags": [ + "data-integrity", + "audit-trail", + "version-management", + "constraint-missing" + ], + "title": "Version increment is application-enforced only; no DB-level constraint prevents version regression or skipping" + }, + { + "active_multipliers": [ + "adversary_challenged", + "ai_generated_pr" + ], + "body": "The two `configHandlers` declarations are in separate block scopes (lines 1551\u20131555 and 1575\u20131578) with no shadowing of a shared variable. They register routes on distinct base paths:\n\n- First: `agentAPI` \u2192 `/api/v1/configs/...`\n- Second: `configGroup` (= `connectorGroup.Group(\"\")` = `agentAPI.Group(\"/connector\")`) \u2192 `/api/v1/connector/configs/...`\n\nGin's router tree separates these cleanly \u2014 no duplicate-path panic occurs.\n\nThe `:key` parameter name is identical in both registrations (both call the same `RegisterRoutes` method), but since they live in different router-tree path segments (`/configs` under `/api/v1` vs `/configs` under `/api/v1/connector`), there is no wildcard conflict.\n\nBoth calls pass `s.configReloadFn()` which evaluates `os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\")` at setup time and returns either `nil` or a valid reload closure. The connector-facing reload endpoint will return 503 only when the env var is not `\"db\"` \u2014 **exactly the same behavior** as the `agentAPI`-facing endpoint. There is no regression here.\n\nThe variable name reuse (`configHandlers`) inside separate Go block scopes (`{ }`) is cosmetically confusing but harmless \u2014 Go's scoping rules guarantee no aliasing.", + "confidence": 0.98, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "dual-config-route-registration", + "dimension_name": "Dual Registration of Config Routes", + "evidence": "Step 1: `agentAPI` base path = `/api/v1` (server.go:1164). Step 2: `connectorGroup = agentAPI.Group(\"/connector\")` \u2192 base `/api/v1/connector` (server.go:1559). Step 3: `configGroup = connectorGroup.Group(\"\")` \u2192 still `/api/v1/connector` (server.go:1573). Step 4: `RegisterRoutes` registers identical relative paths (`/configs`, `/configs/:key`, `/configs/reload`) on both groups, yielding `/api/v1/configs/...` and `/api/v1/connector/configs/...` \u2014 distinct full paths. Step 5: Both `NewConfigStorageHandlers` calls at lines 1552 and 1576 invoke `s.configReloadFn()` which is the same method returning equivalent closures (or nil). No behavioral divergence.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_012", + "line_end": 1578, + "line_start": 1572, + "score": 0.059, + "severity": "nitpick", + "suggestion": "Consider renaming the inner `configHandlers` to `connectorConfigHandlers` for clarity, even though the current code is functionally correct:\n```go\nconnectorConfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\nconnectorConfigHandlers.RegisterRoutes(configGroup)\n```", + "tags": [ + "routing", + "correctness", + "naming" + ], + "title": "Verified: no path conflict and no 503 regression from second `configHandlers` instantiation" + } + ], + "metadata": { + "agent_invocations": 15, + "anatomy": { + "blast_radius": [], + "clusters": [ + { + "description": "", + "files": [ + "control-plane/config/agentfield.yaml" + ], + "id": "cluster_0", + "name": "control-plane/config", + "primary_language": "yaml" + }, + { + "description": "", + "files": [ + "control-plane/internal/handlers/config_storage.go" + ], + "id": "cluster_1", + "name": "control-plane/internal/handlers", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/internal/server/config_db.go", + "control-plane/internal/server/server.go", + "control-plane/internal/server/server_routes_test.go" + ], + "id": "cluster_2", + "name": "control-plane/internal/server", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/internal/storage/local.go", + "control-plane/internal/storage/migrations.go", + "control-plane/internal/storage/models.go", + "control-plane/internal/storage/storage.go" + ], + "id": "cluster_3", + "name": "control-plane/internal/storage", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/migrations/028_create_config_storage.sql" + ], + "id": "cluster_4", + "name": "control-plane/migrations", + "primary_language": "sql" + } + ], + "context_notes": "The PR is internally consistent in its storage and handler wiring. The primary concern is the unprotected /api/v1/configs route (no AdminToken, only global API key which may be empty), the non-propagating hot-reload, and the data race on shared config pointer. The schema dual-path (GORM AutoMigrate + Goose) is a pre-existing pattern in this codebase and is handled correctly via CREATE TABLE IF NOT EXISTS. The stub storage in server_routes_test.go was correctly updated with no-op implementations of the four new interface methods, maintaining test compilability.", + "dependency_graph": {}, + "files": [ + { + "hunks": [ + { + "content": " enabled: true\n observability_config:\n enabled: false\n+ config_management:\n+ enabled: true\n+ read_only: false", + "header": "@@ -146,3 +146,6 @@ features:", + "new_count": 6, + "new_start": 146, + "old_count": 3, + "old_start": 146 + } + ], + "language": "yaml", + "lines_added": 3, + "lines_removed": 0, + "path": "control-plane/config/agentfield.yaml", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+package handlers\n+\n+import (\n+\t\"io\"\n+\t\"net/http\"\n+\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/storage\"\n+\t\"github.com/gin-gonic/gin\"\n+)\n+\n+// ConfigReloadFunc is called to reload configuration from the database.\n+type ConfigReloadFunc func() error\n+\n+// ConfigStorageHandlers provides HTTP handlers for database-backed configuration.\n+type ConfigStorageHandlers struct {\n+\tstorage storage.StorageProvider\n+\treloadFn ConfigReloadFunc\n+}\n+\n+// NewConfigStorageHandlers creates a new ConfigStorageHandlers instance.\n+func NewConfigStorageHandlers(store storage.StorageProvider, reloadFn ConfigReloadFunc) *ConfigStorageHandlers {\n+\treturn &ConfigStorageHandlers{storage: store, reloadFn: reloadFn}\n+}\n+\n+// RegisterRoutes registers config storage routes on the given router group.\n+func (h *ConfigStorageHandlers) RegisterRoutes(group *gin.RouterGroup) {\n+\tgroup.GET(\"/configs\", h.ListConfigs)\n+\tgroup.GET(\"/configs/:key\", h.GetConfig)\n+\tgroup.PUT(\"/configs/:key\", h.SetConfig)\n+\tgroup.DELETE(\"/configs/:key\", h.DeleteConfig)\n+\tgroup.POST(\"/configs/reload\", h.ReloadConfig)\n+}\n+\n+// ListConfigs returns all stored configuration entries.\n+func (h *ConfigStorageHandlers) ListConfigs(c *gin.Context) {\n+\tentries, err := h.storage.ListConfigs(c.Request.Context())\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tif entries == nil {\n+\t\tentries = []*storage.ConfigEntry{}\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\n+\t\t\"configs\": entries,\n+\t\t\"total\": len(entries),\n+\t})\n+}\n+\n+// GetConfig returns a specific configuration entry by key.\n+func (h *ConfigStorageHandlers) GetConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\tentry, err := h.storage.GetConfig(c.Request.Context(), key)\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tif entry == nil {\n+\t\tc.JSON(http.StatusNotFound, gin.H{\"error\": \"config not found\", \"key\": key})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, entry)\n+}\n+\n+// SetConfig creates or updates a configuration entry.\n+// Accepts raw YAML/text body as the config value.\n+func (h *ConfigStorageHandlers) SetConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\n+\tbody, err := io.ReadAll(c.Request.Body)\n+\tif err != nil {\n+\t\tc.JSON(http.StatusBadRequest, gin.H{\"error\": \"failed to read request body\"})\n+\t\treturn\n+\t}\n+\tif len(body) == 0 {\n+\t\tc.JSON(http.StatusBadRequest, gin.H{\"error\": \"request body is empty\"})\n+\t\treturn\n+\t}\n+\n+\tupdatedBy := c.GetHeader(\"X-Updated-By\")\n+\tif updatedBy == \"\" {\n+\t\tupdatedBy = \"api\"\n+\t}\n+\n+\tif err := h.storage.SetConfig(c.Request.Context(), key, string(body), updatedBy); err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\n+\t// Return the saved entry\n+\tentry, err := h.storage.GetConfig(c.Request.Context(), key)\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\n+\tc.JSON(http.StatusOK, gin.H{\n+\t\t\"message\": \"config saved\",\n+\t\t\"config\": entry,\n+\t})\n+}\n+\n+// DeleteConfig removes a configuration entry by key.\n+func (h *ConfigStorageHandlers) DeleteConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\tif err := h.storage.DeleteConfig(c.Request.Context(), key); err != nil {\n+\t\tc.JSON(http.StatusNotFound, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\"message\": \"config deleted\", \"key\": key})\n+}\n+\n+// ReloadConfig triggers a hot-reload of configuration from the database.\n+func (h *ConfigStorageHandlers) ReloadConfig(c *gin.Context) {\n+\tif h.reloadFn == nil {\n+\t\tc.JSON(http.StatusServiceUnavailable, gin.H{\n+\t\t\t\"error\": \"config reload not available (AGENTFIELD_CONFIG_SOURCE != db)\",\n+\t\t})\n+\t\treturn\n+\t}\n+\tif err := h.reloadFn(); err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\n+\t\t\t\"error\": \"config reload failed\",\n+\t\t\t\"details\": err.Error(),\n+\t\t})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\"message\": \"config reloaded from database\"})\n+}", + "header": "@@ -0,0 +1,129 @@", + "new_count": 129, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "go", + "lines_added": 129, + "lines_removed": 0, + "path": "control-plane/internal/handlers/config_storage.go", + "status": "added" + }, + { + "hunks": [ + { + "content": "+package server\n+\n+import (\n+\t\"context\"\n+\t\"fmt\"\n+\t\"time\"\n+\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/config\"\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/storage\"\n+\t\"gopkg.in/yaml.v3\"\n+)\n+\n+const dbConfigKey = \"agentfield.yaml\"\n+\n+// overlayDBConfig loads config from the database and merges it into the\n+// existing config. The storage section is preserved from the original config\n+// to avoid the bootstrap problem (DB connection settings can't come from DB).\n+// Precedence: env vars > DB config > file config > defaults.\n+func overlayDBConfig(cfg *config.Config, store storage.StorageProvider) error {\n+\tctx, cancel := context.WithTimeout(context.Background(), 10*time.Second)\n+\tdefer cancel()\n+\n+\tentry, err := store.GetConfig(ctx, dbConfigKey)\n+\tif err != nil {\n+\t\treturn fmt.Errorf(\"failed to read config from database: %w\", err)\n+\t}\n+\tif entry == nil {\n+\t\tfmt.Println(\"[config] No database config found (key: agentfield.yaml), using file/env config only.\")\n+\t\treturn nil\n+\t}\n+\n+\t// Preserve the storage config \u2014 it must always come from file/env (bootstrap)\n+\tsavedStorage := cfg.Storage\n+\n+\t// Parse the DB-stored YAML into a config struct\n+\tvar dbCfg config.Config\n+\tif err := yaml.Unmarshal([]byte(entry.Value), &dbCfg); err != nil {\n+\t\treturn fmt.Errorf(\"failed to parse database config YAML: %w\", err)\n+\t}\n+\n+\t// Overlay non-zero DB values onto the existing config\n+\tmergeDBConfig(cfg, &dbCfg)\n+\n+\t// Restore storage config (never overridden from DB)\n+\tcfg.Storage = savedStorage\n+\n+\tfmt.Printf(\"[config] Loaded config from database (key: %s, version: %d, updated: %s)\\n\",\n+\t\tentry.Key, entry.Version, entry.UpdatedAt.Format(time.RFC3339))\n+\treturn nil\n+}\n+\n+// mergeDBConfig selectively merges DB config values into the target config.\n+// Only non-zero/non-empty values from the DB config are applied.\n+func mergeDBConfig(target, dbCfg *config.Config) {\n+\t// AgentField settings\n+\tif dbCfg.AgentField.Port != 0 {\n+\t\ttarget.AgentField.Port = dbCfg.AgentField.Port\n+\t}\n+\tif dbCfg.AgentField.NodeHealth.CheckInterval != 0 {\n+\t\ttarget.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth\n+\t}\n+\t// Merge execution cleanup field-by-field to avoid zeroing out unset fields\n+\tif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.RetentionPeriod = dbCfg.AgentField.ExecutionCleanup.RetentionPeriod\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.CleanupInterval = dbCfg.AgentField.ExecutionCleanup.CleanupInterval\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.BatchSize != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.BatchSize = dbCfg.AgentField.ExecutionCleanup.BatchSize\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.PreserveRecentDuration = dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.StaleExecutionTimeout = dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout\n+\t}\n+\t// Enabled is a bool \u2014 only override if cleanup config is present in DB at all\n+\tif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 || dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.Enabled = dbCfg.AgentField.ExecutionCleanup.Enabled\n+\t}\n+\tif dbCfg.AgentField.Approval.WebhookSecret != \"\" || dbCfg.AgentField.Approval.DefaultExpiryHours != 0 {\n+\t\ttarget.AgentField.Approval = dbCfg.AgentField.Approval\n+\t}\n+\n+\t// Features\n+\tif dbCfg.Features.DID.Method != \"\" {\n+\t\ttarget.Features.DID = dbCfg.Features.DID\n+\t}\n+\t// NOTE: Connector config (token, capabilities) is intentionally NOT merged\n+\t// from DB. These are security-sensitive and must come from file/env config,\n+\t// similar to how storage config is protected from the bootstrap problem.\n+\n+\t// API settings (but never override API key from DB for security)\n+\tif len(dbCfg.API.CORS.AllowedOrigins) > 0 {\n+\t\ttarget.API.CORS = dbCfg.API.CORS\n+\t}\n+\n+\t// UI settings\n+\tif dbCfg.UI.Mode != \"\" {\n+\t\ttarget.UI = dbCfg.UI\n+\t}\n+}", + "header": "@@ -0,0 +1,103 @@", + "new_count": 103, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "go", + "lines_added": 103, + "lines_removed": 0, + "path": "control-plane/internal/server/config_db.go", + "status": "added" + }, + { + "hunks": [ + { + "content": " \t\treturn nil, err\n \t}\n \n+\t// Overlay database-stored config if AGENTFIELD_CONFIG_SOURCE=db\n+\tif src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src == \"db\" {\n+\t\tif err := overlayDBConfig(cfg, storageProvider); err != nil {\n+\t\t\tfmt.Printf(\"Warning: failed to load config from database: %v\\n\", err)\n+\t\t}\n+\t}\n+\n \tRouter := gin.Default()\n \n \t// Sync installed.yaml to database for package visibility", + "header": "@@ -104,6 +104,13 @@ func NewAgentFieldServer(cfg *config.Config) (*AgentFieldServer, error) {", + "new_count": 13, + "new_start": 104, + "old_count": 6, + "old_start": 104 + }, + { + "content": " \t}, nil\n }\n \n+// configReloadFn returns a function that reloads config from the database,\n+// or nil if AGENTFIELD_CONFIG_SOURCE is not set to \"db\".\n+func (s *AgentFieldServer) configReloadFn() handlers.ConfigReloadFunc {\n+\tif src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src != \"db\" {\n+\t\treturn nil\n+\t}\n+\treturn func() error {\n+\t\treturn overlayDBConfig(s.config, s.storage)\n+\t}\n+}\n+\n // Start initializes and starts the AgentFieldServer.\n func (s *AgentFieldServer) Start() error {\n \t// Setup routes", + "header": "@@ -423,6 +430,17 @@ func NewAgentFieldServer(cfg *config.Config) (*AgentFieldServer, error) {", + "new_count": 17, + "new_start": 430, + "old_count": 6, + "old_start": 423 + }, + { + "content": " \t\t\tlogger.Logger.Info().Msg(\"\ud83d\udccb Authorization admin routes registered\")\n \t\t}\n \n+\t\t// Config storage routes (admin-authenticated)\n+\t\t{\n+\t\t\tconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n+\t\t\tconfigHandlers.RegisterRoutes(agentAPI)\n+\t\t\tlogger.Logger.Info().Msg(\"Config storage routes registered\")\n+\t\t}\n+\n \t\t// Connector routes (authenticated with separate connector token)\n \t\tif s.config.Features.Connector.Enabled && s.config.Features.Connector.Token != \"\" {\n \t\t\tconnectorGroup := agentAPI.Group(\"/connector\")", + "header": "@@ -1529,6 +1547,13 @@ func (s *AgentFieldServer) setupRoutes() {", + "new_count": 13, + "new_start": 1547, + "old_count": 6, + "old_start": 1529 + }, + { + "content": " \t\t\t)\n \t\t\tconnectorHandlers.RegisterRoutes(connectorGroup)\n \n+\t\t\t// Config management routes for connector\n+\t\t\tconfigGroup := connectorGroup.Group(\"\")\n+\t\t\tconfigGroup.Use(middleware.ConnectorCapabilityCheck(\"config_management\", s.config.Features.Connector.Capabilities))\n+\t\t\t{\n+\t\t\t\tconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n+\t\t\t\tconfigHandlers.RegisterRoutes(configGroup)\n+\t\t\t}\n+\n \t\t\tlogger.Logger.Info().Msg(\"\ud83d\udd0c Connector routes registered\")\n \t\t}\n \t}", + "header": "@@ -1544,6 +1569,14 @@ func (s *AgentFieldServer) setupRoutes() {", + "new_count": 14, + "new_start": 1569, + "old_count": 6, + "old_start": 1544 + } + ], + "language": "go", + "lines_added": 33, + "lines_removed": 0, + "path": "control-plane/internal/server/server.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " }\n \n // Configuration\n-func (s *stubStorage) SetConfig(ctx context.Context, key string, value interface{}) error { return nil }\n-func (s *stubStorage) GetConfig(ctx context.Context, key string) (interface{}, error) {\n+func (s *stubStorage) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n+\treturn nil\n+}\n+func (s *stubStorage) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error) {\n+\treturn nil, nil\n+}\n+func (s *stubStorage) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n \treturn nil, nil\n }\n+func (s *stubStorage) DeleteConfig(ctx context.Context, key string) error { return nil }\n \n // Reasoner Performance and History\n func (s *stubStorage) GetReasonerPerformanceMetrics(ctx context.Context, reasonerID string) (*types.ReasonerPerformanceMetrics, error) {", + "header": "@@ -230,10 +230,16 @@ func (s *stubStorage) ListAgentGroups(ctx context.Context, teamID string) ([]typ", + "new_count": 16, + "new_start": 230, + "old_count": 10, + "old_start": 230 + } + ], + "language": "go", + "lines_added": 8, + "lines_removed": 2, + "path": "control-plane/internal/server/server_routes_test.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \treturn nil\n }\n \n-// SetConfig stores a configuration key-value pair in SQLite.\n-func (ls *LocalStorage) SetConfig(ctx context.Context, key string, value interface{}) error {\n-\t// Fast-fail if context is already cancelled\n+// SetConfig upserts a configuration entry in the database.\n+// On conflict (duplicate key), it increments the version and updates the value.\n+func (ls *LocalStorage) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n \tif err := ctx.Err(); err != nil {\n \t\treturn err\n \t}\n \n-\t// TODO: Implement configuration storage in SQLite\n-\treturn fmt.Errorf(\"SetConfig not yet implemented for LocalStorage\")\n+\tdb := ls.requireSQLDB()\n+\tnow := time.Now().UTC()\n+\n+\tif ls.mode == \"postgres\" {\n+\t\t_, err := db.ExecContext(ctx, `\n+\t\t\tINSERT INTO config_storage (key, value, version, created_by, updated_by, created_at, updated_at)\n+\t\t\tVALUES ($1, $2, 1, $3, $3, $4, $4)\n+\t\t\tON CONFLICT (key) DO UPDATE SET\n+\t\t\t\tvalue = EXCLUDED.value,\n+\t\t\t\tversion = config_storage.version + 1,\n+\t\t\t\tupdated_by = EXCLUDED.updated_by,\n+\t\t\t\tupdated_at = EXCLUDED.updated_at`,\n+\t\t\tkey, value, updatedBy, now)\n+\t\treturn err\n+\t}\n+\n+\t// SQLite\n+\t_, err := db.ExecContext(ctx, `\n+\t\tINSERT INTO config_storage (key, value, version, created_by, updated_by, created_at, updated_at)\n+\t\tVALUES (?, ?, 1, ?, ?, ?, ?)\n+\t\tON CONFLICT (key) DO UPDATE SET\n+\t\t\tvalue = excluded.value,\n+\t\t\tversion = config_storage.version + 1,\n+\t\t\tupdated_by = excluded.updated_by,\n+\t\t\tupdated_at = excluded.updated_at`,\n+\t\tkey, value, updatedBy, updatedBy, now, now)\n+\treturn err\n }\n \n-// GetConfig retrieves a configuration value from SQLite by key.\n-func (ls *LocalStorage) GetConfig(ctx context.Context, key string) (interface{}, error) {\n-\t// Fast-fail if context is already cancelled\n+// GetConfig retrieves a configuration entry by key.\n+func (ls *LocalStorage) GetConfig(ctx context.Context, key string) (*ConfigEntry, error) {\n+\tif err := ctx.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n+\tdb := ls.requireSQLDB()\n+\tvar entry ConfigEntry\n+\n+\tvar placeholder string\n+\tif ls.mode == \"postgres\" {\n+\t\tplaceholder = \"$1\"\n+\t} else {\n+\t\tplaceholder = \"?\"\n+\t}\n+\n+\trow := db.QueryRowContext(ctx,\n+\t\tfmt.Sprintf(`SELECT key, value, version, COALESCE(created_by, ''), COALESCE(updated_by, ''), created_at, updated_at\n+\t\tFROM config_storage WHERE key = %s`, placeholder), key)\n+\n+\terr := row.Scan(&entry.Key, &entry.Value, &entry.Version,\n+\t\t&entry.CreatedBy, &entry.UpdatedBy, &entry.CreatedAt, &entry.UpdatedAt)\n+\tif err != nil {\n+\t\tif err.Error() == \"sql: no rows in result set\" {\n+\t\t\treturn nil, nil\n+\t\t}\n+\t\treturn nil, fmt.Errorf(\"failed to get config %q: %w\", key, err)\n+\t}\n+\treturn &entry, nil\n+}\n+\n+// ListConfigs returns all stored configuration entries.\n+func (ls *LocalStorage) ListConfigs(ctx context.Context) ([]*ConfigEntry, error) {\n \tif err := ctx.Err(); err != nil {\n \t\treturn nil, err\n \t}\n \n-\t// TODO: Implement configuration retrieval from SQLite\n-\treturn nil, fmt.Errorf(\"GetConfig not yet implemented for LocalStorage\")\n+\tdb := ls.requireSQLDB()\n+\trows, err := db.QueryContext(ctx,\n+\t\t`SELECT key, value, version, COALESCE(created_by, ''), COALESCE(updated_by, ''), created_at, updated_at\n+\t\tFROM config_storage ORDER BY key`)\n+\tif err != nil {\n+\t\treturn nil, fmt.Errorf(\"failed to list configs: %w\", err)\n+\t}\n+\tdefer rows.Close()\n+\n+\tvar entries []*ConfigEntry\n+\tfor rows.Next() {\n+\t\tvar entry ConfigEntry\n+\t\tif err := rows.Scan(&entry.Key, &entry.Value, &entry.Version,\n+\t\t\t&entry.CreatedBy, &entry.UpdatedBy, &entry.CreatedAt, &entry.UpdatedAt); err != nil {\n+\t\t\treturn nil, fmt.Errorf(\"failed to scan config row: %w\", err)\n+\t\t}\n+\t\tentries = append(entries, &entry)\n+\t}\n+\treturn entries, rows.Err()\n+}\n+\n+// DeleteConfig removes a configuration entry by key.\n+func (ls *LocalStorage) DeleteConfig(ctx context.Context, key string) error {\n+\tif err := ctx.Err(); err != nil {\n+\t\treturn err\n+\t}\n+\n+\tdb := ls.requireSQLDB()\n+\tvar placeholder string\n+\tif ls.mode == \"postgres\" {\n+\t\tplaceholder = \"$1\"\n+\t} else {\n+\t\tplaceholder = \"?\"\n+\t}\n+\n+\tresult, err := db.ExecContext(ctx,\n+\t\tfmt.Sprintf(`DELETE FROM config_storage WHERE key = %s`, placeholder), key)\n+\tif err != nil {\n+\t\treturn fmt.Errorf(\"failed to delete config %q: %w\", key, err)\n+\t}\n+\trows, _ := result.RowsAffected()\n+\tif rows == 0 {\n+\t\treturn fmt.Errorf(\"config %q not found\", key)\n+\t}\n+\treturn nil\n }\n \n // SubscribeToMemoryChanges implements the StorageProvider SubscribeToMemoryChanges method using local pub/sub.", + "header": "@@ -5124,26 +5124,124 @@ func (ls *LocalStorage) UpdateAgentTrafficWeight(ctx context.Context, id string,", + "new_count": 124, + "new_start": 5124, + "old_count": 26, + "old_start": 5124 + } + ], + "language": "go", + "lines_added": 108, + "lines_removed": 10, + "path": "control-plane/internal/storage/local.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \t\t&DIDDocumentModel{},\n \t\t&AccessPolicyModel{},\n \t\t&AgentTagVCModel{},\n+\t\t&ConfigStorageModel{},\n \t}\n \n \tif err := gormDB.WithContext(ctx).AutoMigrate(models...); err != nil {", + "header": "@@ -233,6 +233,7 @@ func (ls *LocalStorage) autoMigrateSchema(ctx context.Context) error {", + "new_count": 7, + "new_start": 233, + "old_count": 6, + "old_start": 233 + } + ], + "language": "go", + "lines_added": 1, + "lines_removed": 0, + "path": "control-plane/internal/storage/migrations.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " }\n \n func (AgentTagVCModel) TableName() string { return \"agent_tag_vcs\" }\n+\n+// ConfigStorageModel stores configuration files in the database.\n+// Each record represents a named configuration (e.g. \"agentfield.yaml\")\n+// with versioning for audit trail.\n+type ConfigStorageModel struct {\n+\tID int64 `gorm:\"column:id;primaryKey;autoIncrement\"`\n+\tKey string `gorm:\"column:key;not null;uniqueIndex\"`\n+\tValue string `gorm:\"column:value;type:text;not null\"`\n+\tVersion int `gorm:\"column:version;not null;default:1\"`\n+\tCreatedBy *string `gorm:\"column:created_by\"`\n+\tUpdatedBy *string `gorm:\"column:updated_by\"`\n+\tCreatedAt time.Time `gorm:\"column:created_at;autoCreateTime\"`\n+\tUpdatedAt time.Time `gorm:\"column:updated_at;autoUpdateTime\"`\n+}\n+\n+func (ConfigStorageModel) TableName() string { return \"config_storage\" }", + "header": "@@ -472,3 +472,19 @@ type AgentTagVCModel struct {", + "new_count": 19, + "new_start": 472, + "old_count": 3, + "old_start": 472 + } + ], + "language": "go", + "lines_added": 16, + "lines_removed": 0, + "path": "control-plane/internal/storage/models.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \tActiveExecutions int\n }\n \n+// ConfigEntry represents a database-stored configuration file.\n+type ConfigEntry struct {\n+\tKey string `json:\"key\"`\n+\tValue string `json:\"value\"`\n+\tVersion int `json:\"version\"`\n+\tCreatedBy string `json:\"created_by,omitempty\"`\n+\tUpdatedBy string `json:\"updated_by,omitempty\"`\n+\tCreatedAt time.Time `json:\"created_at\"`\n+\tUpdatedAt time.Time `json:\"updated_at\"`\n+}\n+\n // StorageProvider is the interface for the primary data storage backend.\n type StorageProvider interface {\n \t// Lifecycle", + "header": "@@ -26,6 +26,17 @@ type RunSummaryAggregation struct {", + "new_count": 17, + "new_start": 26, + "old_count": 6, + "old_start": 26 + }, + { + "content": " \tUpdateAgentVersion(ctx context.Context, id string, version string) error\n \tUpdateAgentTrafficWeight(ctx context.Context, id string, version string, weight int) error\n \n-\t// Configuration\n-\tSetConfig(ctx context.Context, key string, value interface{}) error\n-\tGetConfig(ctx context.Context, key string) (interface{}, error)\n+\t// Configuration Storage (database-backed config files)\n+\tSetConfig(ctx context.Context, key string, value string, updatedBy string) error\n+\tGetConfig(ctx context.Context, key string) (*ConfigEntry, error)\n+\tListConfigs(ctx context.Context) ([]*ConfigEntry, error)\n+\tDeleteConfig(ctx context.Context, key string) error\n \n \t// Reasoner Performance and History\n \tGetReasonerPerformanceMetrics(ctx context.Context, reasonerID string) (*types.ReasonerPerformanceMetrics, error)", + "header": "@@ -118,9 +129,11 @@ type StorageProvider interface {", + "new_count": 11, + "new_start": 129, + "old_count": 9, + "old_start": 118 + } + ], + "language": "go", + "lines_added": 16, + "lines_removed": 3, + "path": "control-plane/internal/storage/storage.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+-- +goose Up\n+-- +goose StatementBegin\n+CREATE TABLE IF NOT EXISTS config_storage (\n+ id BIGSERIAL PRIMARY KEY,\n+ key TEXT NOT NULL UNIQUE,\n+ value TEXT NOT NULL,\n+ version INTEGER NOT NULL DEFAULT 1,\n+ created_by TEXT,\n+ updated_by TEXT,\n+ created_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW(),\n+ updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()\n+);\n+\n+CREATE INDEX IF NOT EXISTS idx_config_storage_key ON config_storage(key);\n+-- +goose StatementEnd\n+\n+-- +goose Down\n+-- +goose StatementBegin\n+DROP INDEX IF EXISTS idx_config_storage_key;\n+DROP TABLE IF EXISTS config_storage;\n+-- +goose StatementEnd", + "header": "@@ -0,0 +1,21 @@", + "new_count": 21, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "sql", + "lines_added": 21, + "lines_removed": 0, + "path": "control-plane/migrations/028_create_config_storage.sql", + "status": "added" + } + ], + "intent_gaps": [ + "The PR description states 'Precedence: env vars > DB config > file config > defaults' but the overlay is a one-time operation at startup (not continuous), and the RELOAD endpoint only re-applies the DB overlay to the already-file+env-merged config. If env vars set a value that was also in the file config, the file value was already overridden by env before overlay. The stated precedence description is accurate for startup, but the description does not clarify that RELOAD does not re-read the file config or re-apply env vars.", + "The PR description claims 'Add connector-scoped config routes gated by config_management capability' but the code also registers the same config routes unconditionally on /api/v1/configs (server.go:1552-1554) without the capability gate. This unauthenticated (modulo global API key) route is not mentioned in the PR description.", + "The PR description mentions 'works on both SQLite and PostgreSQL' for the storage implementation, but the actual SetConfig/GetConfig/ListConfigs/DeleteConfig method bodies are not visible in the diff (the local.go additions are in lines not shown). The claim cannot be verified from the diff alone.", + "The PR description says config_management is added as a new capability, but it is also enabled by default (read_only: false) in the committed agentfield.yaml with the test connector token. The description does not mention this default-on behavior or its security implication for deployments that use the default config.", + "The ReloadConfig handler (handlers/config_storage.go:114-128) is described as a hot-reload mechanism, but because services are initialized with config values at construction time (intervals, timeouts, flags), a reload only affects future reads of config fields that are checked dynamically (e.g., if a handler reads s.config.AgentField.Port at request time). The PR description does not document which settings actually take effect on hot-reload vs. which require a restart." + ], + "pr_narrative": "This PR introduces a database-backed configuration storage system with the following end-to-end flow:\n\n**1. Schema and Storage Layer**\nA new GORM model `ConfigStorageModel` (`storage/models.go:479-488`) maps to a `config_storage` table with columns: id, key (unique), value (TEXT), version (auto-incremented on update), created_by, updated_by, created_at, updated_at. The model is appended to the GORM `AutoMigrate` list (`storage/migrations.go:236`), meaning the table is created automatically on startup for both SQLite and PostgreSQL. A parallel Goose SQL migration (`028_create_config_storage.sql`) creates the same table for the managed PostgreSQL migration path. A new `ConfigEntry` DTO (`storage/storage.go:30-38`) is defined alongside four new interface methods on `StorageProvider` (`storage/storage.go:132-136`): `SetConfig`, `GetConfig`, `ListConfigs`, `DeleteConfig`. The concrete implementation is in `LocalStorage` via GORM upsert/query/delete using the `ConfigStorageModel` (implementation not in the diff directly, but referenced by the handler and config_db code).\n\n**2. HTTP Handler Layer**\n`handlers/config_storage.go` defines `ConfigStorageHandlers` with five routes: LIST (`GET /configs`), GET (`GET /configs/:key`), SET (`PUT /configs/:key` \u2014 raw body is the YAML value), DELETE (`DELETE /configs/:key`), and RELOAD (`POST /configs/reload`). The `SetConfig` handler reads raw bytes from the request body and accepts an optional `X-Updated-By` header to track who made the change. After writing, it re-reads and returns the saved entry. The RELOAD endpoint invokes a `ConfigReloadFunc` callback; if the function is nil (i.e., `AGENTFIELD_CONFIG_SOURCE` != `db`), it returns 503.\n\n**3. Startup Config Overlay**\n`server/config_db.go` implements `overlayDBConfig`, called from `NewAgentFieldServer` (`server/server.go:108-112`) after storage is initialized, when `AGENTFIELD_CONFIG_SOURCE=db`. It fetches the entry keyed `agentfield.yaml`, parses it as `config.Config` YAML, then calls `mergeDBConfig` which selectively copies non-zero fields from the DB config onto the in-memory config. The `storage` section of the config is unconditionally restored after merge (bootstrap safety). The `connector` config section is also explicitly excluded from merge (`config_db.go:90-92`).\n\n**4. Route Registration**\nIn `setupRoutes` (`server/server.go:1550-1578`), config routes are registered in two places: (a) unconditionally on `agentAPI` (`/api/v1/configs/...`) with no additional authentication beyond the global API key middleware, and (b) inside the connector group at `/api/v1/connector/configs/...` behind both the connector token middleware and a `config_management` capability check. A hot-reload route (`POST /configs/reload`) is registered at both locations.\n\n**5. Config Precedence at Runtime**\nThe stated precedence is: env vars (Viper) > DB config (overlay at startup) > file config > defaults. The DB overlay happens once, at server construction, not continuously. The RELOAD endpoint (`POST /configs/reload`) re-invokes `overlayDBConfig` live, but this modifies the in-memory `*config.Config` struct that was already used to initialize services \u2014 downstream services (health monitor intervals, cleanup, etc.) are NOT reinitialized.\n\n**6. Default Config Change**\n`agentfield.yaml` gains `config_management.enabled: true, read_only: false` under `features.connector.capabilities`, enabling the capability by default for the dev/test token.", + "risk_surfaces": [ + "AUTHORIZATION GAP \u2014 config CRUD routes at /api/v1/configs/:key (server.go:1552-1554) are registered with no authentication beyond the global API key middleware. If no API key is configured (the default dev/test scenario with api.auth.api_key empty), these endpoints are completely unauthenticated. Any caller can read, write, or delete the server's configuration YAML, including settings like CORS origins, admin_token, and DID authorization flags. The PR description states 'admin-authenticated' in a comment but the code does not use AdminTokenAuth on this route group.", + "HOT-RELOAD DOES NOT PROPAGATE \u2014 overlayDBConfig (config_db.go:19-50) modifies s.config in place, but all services were constructed from that config at startup (health monitor intervals, cleanup batch sizes, webhook timeouts, execution cleanup enabled flag, CORS origins, etc.). Calling POST /configs/reload via the ReloadConfig handler will silently succeed while leaving all service behaviors unchanged until the next server restart. Callers will expect the reload to take effect immediately.", + "DUPLICATE ROUTE REGISTRATION \u2014 ConfigStorageHandlers.RegisterRoutes registers the same five route patterns (GET /configs, GET /configs/:key, PUT /configs/:key, DELETE /configs/:key, POST /configs/reload) twice: once on agentAPI at server.go:1552-1554 and again inside the connector capability group at server.go:1573-1578. Both registrations use the same handler instance but with different middleware chains. In Gin, duplicate route registration panics at startup if patterns conflict. The connector group uses prefix /connector, so the full paths differ (/api/v1/configs vs /api/v1/connector/configs), but this dual registration is non-obvious and the inner configHandlers variable shadows the outer one (server.go:1552 vs 1576).", + "SCHEMA DUAL-PATH DIVERGENCE \u2014 The table is created via two independent mechanisms: GORM AutoMigrate (migrations.go:236) and Goose migration 028. For SQLite (local mode), only GORM AutoMigrate runs. For PostgreSQL in managed deployments using Goose, both run. The GORM model has `version NOT NULL DEFAULT 1` and auto-increments on update via GORM hooks, but the Goose SQL schema has `version INTEGER NOT NULL DEFAULT 1` with no trigger or sequence for auto-increment \u2014 the increment logic must be in the Go GORM layer (Upsert with version+1). If a raw SQL INSERT bypasses GORM, version will always be 1. Additionally, if AutoMigrate runs first on a fresh Postgres DB and then Goose migration 028 also runs, the CREATE TABLE IF NOT EXISTS in 028 is a no-op, so no conflict \u2014 but this dual-track is a maintenance hazard.", + "VERSION INCREMENT CONTRACT \u2014 The ConfigStorageModel has `Version int` with `gorm:\"default:1\"`. SetConfig presumably uses an upsert that increments version, but the diff does not show the actual SetConfig implementation in local.go (the new methods are not in the shown portion of local.go). If the GORM upsert does not explicitly increment version (e.g., uses Save without a version bump expression), the audit trail promise in the PR description is broken. The ConfigEntry DTO exposes Version to API callers who may rely on it for optimistic locking.", + "YAML INJECTION / ARBITRARY CONFIG OVERRIDE \u2014 PUT /configs/:key accepts raw bytes with no YAML schema validation before storage. On load, overlayDBConfig calls yaml.Unmarshal into a config.Config struct. A malformed YAML will return a parse error at startup/reload (safe), but a structurally valid YAML that sets unexpected fields (e.g., changing agentfield.port, did.authorization.admin_token to empty string, or disabling DID) will silently succeed because mergeDBConfig only checks for zero-values before applying. If admin_token is set to a non-empty value in the file but an empty string in the DB config, the zero-value guard (`dbCfg.Features.DID.Method != \"\"` line config_db.go:87) prevents the DID block from being applied \u2014 but the Approval block (config_db.go:82-84) is applied wholesale if either WebhookSecret or DefaultExpiryHours is non-zero.", + "BOOL FIELD OVERRIDE HEURISTIC \u2014 mergeDBConfig uses a heuristic to decide whether to override the boolean ExecutionCleanup.Enabled: it only overrides if RetentionPeriod or CleanupInterval is also non-zero (config_db.go:79-81). This means a DB config that sets `enabled: false` alone will be silently ignored. An operator who stores a config to disable cleanup will be surprised that cleanup keeps running.", + "CONNECTOR CAPABILITY CHECK MIDDLEWARE PLACEMENT \u2014 At server.go:1573-1574, a new middleware.ConnectorCapabilityCheck is applied to a sub-group of the connector group. If ConnectorCapabilityCheck uses c.Abort() correctly, requests without config_management capability will be rejected. However, the capability check middleware is applied to a new group created with connectorGroup.Group(\"\") \u2014 in Gin, middleware from connectorGroup is inherited by this sub-group. If ConnectorCapabilityCheck does not call c.Abort() on failure, requests could fall through to the handlers. This pattern should be verified.", + "CONCURRENT CONFIG MODIFICATION \u2014 s.config (*config.Config) is a pointer shared across goroutines (health monitor, status manager, cleanup service all hold references or read from it). overlayDBConfig modifies the struct fields without any synchronization (no mutex, no atomic swap). Concurrent reads from goroutines checking config values (e.g., cleanup interval, node health thresholds) while a reload is in progress creates a data race.", + "CONTEXT TIMEOUT IN HOT-RELOAD PATH \u2014 overlayDBConfig creates its own 10-second context (config_db.go:20). When invoked from the HTTP RELOAD handler (handlers/config_storage.go:121), this timeout is independent of the request context. If the DB is slow, the reload may succeed from the handler's perspective but the overlay timed out, and the handler returns HTTP 500 (error path at config_db.go:25) while the handler at line 122-126 propagates that as 500. This is fine, but the handler at line 128 returns 200 on success without indicating what changed.", + "MISSING POSTGRESQL IMPLEMENTATION VERIFICATION \u2014 The SetConfig/GetConfig/ListConfigs/DeleteConfig implementations on LocalStorage are not shown in the diff (the local.go diff shows 108 additions but the shown content is pre-existing code). For PostgreSQL mode, the GORM-based implementation must handle the upsert (incrementing version) correctly. If the implementation uses GORM Save() on a new record vs. an existing one, behavior may differ between SQLite and PostgreSQL due to different GORM driver behaviors for upsert with auto-increment fields." + ], + "stats": { + "files_added": 3, + "files_modified": 7, + "files_removed": 0, + "files_renamed": 0, + "test_files_changed": 1, + "test_to_code_ratio": 0.1111111111111111, + "total_additions": 438, + "total_deletions": 15, + "total_files": 10 + }, + "unrelated_changes": [ + "agentfield.yaml already has a connector section; adding config_management capability to the default dev config (lines 149-151) is functional but also sets read_only: false with a known test token ('test-connector-token-123'), which means any deployment using the default config file without overriding has this capability enabled with a public token." + ] + }, + "budget": { + "budget_exhausted": true, + "cost_breakdown": { + "adversary": 0, + "anatomy": 0, + "coverage": 0, + "cross_ref": 0, + "intake": 0, + "meta_selectors": 0, + "output": 0, + "review": 0, + "synthesis": 0 + }, + "max_cost_usd": 2, + "max_duration_seconds": 900, + "total_cost_usd": 0 + }, + "intake": { + "ai_generated": 0.8, + "areas_touched": [ + "database", + "api", + "tests", + "config" + ], + "complexity": "complex", + "languages": [ + "go", + "sql", + "yaml" + ], + "pr_summary": "## Summary\n- Add `config_storage` table (GORM model + Goose migration 028) for storing configuration files in the database\n- Implement `SetConfig`/`GetConfig`/`ListConfigs`/`DeleteConfig` on the `StorageProvider` interface (works on both SQLite and PostgreSQL)\n- Add `AGENTFIELD_CONFIG_SOURCE=db` environment variable to load config from the database at startup (overlays on top of file config, preserving storage section for bootstrap)\n- Add CRUD API endpoints at `GET/PUT/DELETE /api/v1/configs/:key`\n- Add connector-scoped config routes gated by `config_management` capability\n- Add `config_management` capability to default `agentfield.yaml`\n\n## How It Works\n1. **Store config in DB**: `PUT /api/v1/configs/agentfield.yaml` with YAML body\n2. **Load from DB at startup**: Set `AGENTFIELD_CONFIG_SOURCE=db` \u2192 server reads config from DB after storage init\n3. **Remote management**: SaaS \u2192 connector \u2192 `config_management` capability \u2192 CP config API\n4. **Precedence**: env vars > DB config > file config > defaults\n5. **Bootstrap safety**: The `storage` section is never overridden from DB (DB connection can't come from DB)\n\n## Related PRs\n- Connector: Agent-Field/connector (config_management capability)\n- hax-sdk: Agent-Field/hax-sdk (config editor UI)\n\n## Test plan\n- [x] `go build ./...` passes\n- [x] Server tests pass\n- [x] Storage test failure is pre-existing (FTS5 not available)\n- [ ] Manual test: create config via API, verify it loads on restart with `AGENTFIELD_CONFIG_SOURCE=db`\n- [ ] Manual test: verify connector flow end-to-end\n\n\ud83e\udd16 Generated with [Claude Code](https://claude.com/claude-code)", + "pr_type": "feature", + "review_depth": "standard", + "risk_signals": [ + "modifies data model or schema-affecting code", + "changes API surface or request/response behavior", + "includes configuration changes", + "test behavior updated" + ] + }, + "phases_completed": [ + "intake", + "anatomy", + "meta_selectors", + "review", + "adversary", + "cross_ref", + "coverage", + "synthesis", + "output" + ], + "plan": { + "ai_adjusted": false, + "cross_ref_hints": [], + "dimensions": [ + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [ + "control-plane/config/agentfield.yaml", + "control-plane/internal/server/config_db.go" + ], + "id": "semantic_sem_01", + "name": "Unauthenticated Config Write/Read/Delete via /api/v1/configs", + "priority": 10, + "review_prompt": "The config CRUD routes at /api/v1/configs/:key are registered on agentAPI (server.go:1552-1554) with no authentication beyond the global API key middleware. Investigate: (1) What is the default value of api.auth.api_key in agentfield.yaml and in the dev/test environment? If it is empty or not set, is the global API key middleware a no-op? (2) Is there any AdminTokenAuth or equivalent applied to this route group? The PR description says 'admin-authenticated' but the code must be checked. (3) What data is accessible via GET /configs? Can an unauthenticated caller retrieve the stored agentfield.yaml which may contain admin_token, webhook secrets, DID config, or CORS origins? (4) Can an unauthenticated caller PUT /configs/agentfield.yaml and override security-sensitive config fields (admin_token, did.authorization, cors.allowed_origins)? Focus on the authorization gap between the /api/v1/configs routes and the /api/v1/connector/configs routes (which DO have ConnectorCapabilityCheck). Determine the actual security boundary enforced at runtime.", + "target_files": [ + "control-plane/internal/server/server.go", + "control-plane/internal/handlers/config_storage.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 4 + }, + "context_files": [ + "control-plane/internal/handlers/config_storage.go", + "control-plane/internal/server/config_db.go" + ], + "id": "mechanical_mech_01", + "name": "StorageProvider Interface Completeness: Missing Method Implementations", + "priority": 10, + "review_prompt": "Verify that ALL concrete types implementing `StorageProvider` (storage/storage.go:132-136) have implementations for the four new methods: `SetConfig`, `GetConfig`, `ListConfigs`, and `DeleteConfig`. Specifically: (1) Check `LocalStorage` in `storage/local.go` \u2014 the diff claims 108 additions but the shown content may not include these methods. Confirm they exist and have the correct signatures matching the interface exactly (parameter types, return types). (2) If there is a PostgreSQL-specific storage type or any mock/stub in tests, confirm it also satisfies the interface or will produce a compile error. (3) Verify the `ConfigEntry` DTO (storage/storage.go:30-38) return type matches what callers in `handlers/config_storage.go` and `server/config_db.go` expect \u2014 e.g., does `GetConfig` return `(*ConfigEntry, error)` or `(ConfigEntry, error)`? Pointer vs value mismatches will cause compile failures or nil-dereference panics at runtime.", + "target_files": [ + "control-plane/internal/storage/storage.go", + "control-plane/internal/storage/local.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.4, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/handlers/config_storage.go" + ], + "id": "mechanical_mech_02", + "name": "Gin Route Registration: Duplicate Pattern Panic Risk", + "priority": 9, + "review_prompt": "Inspect `server/server.go:1550-1578` for the dual registration of config routes. In Gin, registering two routes with identical HTTP method + full path will panic at startup. Determine the full resolved paths for both registrations: (a) the `agentAPI` group base path + `/configs`, `/configs/:key`, `/configs/reload` and (b) the connector group base path + the sub-group prefix + the same suffixes. Confirm that the full paths are truly distinct (e.g., `/api/v1/configs/...` vs `/api/v1/connector/configs/...`). Also check whether the `:key` parameter name is consistent \u2014 if one registration uses `:key` and another uses a different param name at the same position within the same router tree segment, Gin will panic with a wildcard conflict error. Additionally, verify that the `configHandlers` variable at server.go:1552 and the re-used or shadowing `configHandlers` at server.go:1576 reference the same `ConfigStorageHandlers` instance with the same `ConfigReloadFunc` \u2014 if the inner declaration creates a new instance without a reload func, the connector-facing RELOAD endpoint will always return 503.", + "target_files": [ + "control-plane/internal/server/server.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 90, + "max_reference_follows": 4 + }, + "context_files": [ + "control-plane/config/agentfield.yaml" + ], + "id": "semantic_sem_02", + "name": "Hot-Reload Does Not Reinitialize Services \u2014 Silent Staleness", + "priority": 8, + "review_prompt": "overlayDBConfig (config_db.go:19-50) modifies the in-memory *config.Config struct in place. However, all services (health monitor, cleanup service, webhook dispatcher, CORS middleware, etc.) were constructed using that config at startup and hold either a copy of config values or a pointer to the struct. Investigate: (1) Do downstream services read config values lazily (via the pointer at call time) or eagerly (copied into local fields at construction)? If eagerly copied, a reload will have zero effect on running behavior. (2) After a successful POST /configs/reload, what actually changes at runtime vs. what the caller expects to change? (3) Does the reload handler (handlers/config_storage.go:121-128) return any indication of what fields were applied? Does it return HTTP 200 with no body to indicate success, even when no services were reinitialized? (4) Is there a documented contract for which config fields take effect on reload vs. which require restart? If not, this is a behavioral contract violation for callers who rely on reload to change operational parameters.", + "target_files": [ + "control-plane/internal/server/config_db.go", + "control-plane/internal/handlers/config_storage.go", + "control-plane/internal/server/server.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.4, + "max_duration_seconds": 60, + "max_reference_follows": 4 + }, + "context_files": [ + "control-plane/internal/storage/storage.go", + "control-plane/internal/server/server.go" + ], + "id": "mechanical_mech_03", + "name": "overlayDBConfig: yaml.Unmarshal Target Type and Nil Pointer Safety", + "priority": 8, + "review_prompt": "Trace the exact runtime execution of `overlayDBConfig` in `server/config_db.go:19-50`. (1) Verify `GetConfig` returns a type from which the raw YAML bytes/string are accessed \u2014 confirm no nil pointer dereference if the key `agentfield.yaml` does not exist in the DB (the not-found code path must return early without error). (2) Confirm `yaml.Unmarshal` is called with a `*config.Config` target \u2014 if called with a value type, the populated struct is discarded. (3) In `mergeDBConfig`, confirm each field access on `dbCfg` (the unmarshaled struct) is nil-safe \u2014 if `dbCfg.Features` or nested structs are pointer types and the YAML omits those sections, accessing `dbCfg.Features.DID.Method` at config_db.go:87 will panic with a nil pointer dereference. Check whether `config.Config` uses value types or pointer types for nested structs, and whether `yaml.Unmarshal` zero-initializes nested structs or leaves them nil when YAML keys are absent.", + "target_files": [ + "control-plane/internal/server/config_db.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/storage/storage.go", + "control-plane/internal/storage/local.go" + ], + "id": "systemic_systemic_schema_dual_path", + "name": "Schema Dual-Path Divergence: GORM AutoMigrate vs Goose Migration", + "priority": 8, + "review_prompt": "This PR creates the `config_storage` table via two independent mechanisms: GORM AutoMigrate (storage/migrations.go:236) and a Goose SQL migration (migrations/028_create_config_storage.sql). Investigate whether this dual-track schema management is consistent with how other tables in this codebase are managed. Specifically: (1) Do other models use both AutoMigrate AND a Goose migration, or is one mechanism the established pattern? (2) Does the GORM model schema (version auto-increment via hooks) match the Goose SQL DDL precisely, or are there divergences (e.g., missing triggers, different column constraints)? (3) If AutoMigrate runs first on a fresh PostgreSQL database and Goose migration 028 also runs, is the result deterministic and conflict-free? (4) What is the maintenance risk if the GORM model is updated but the Goose migration is not (or vice versa)? Conclude whether this dual-path is justified or whether it introduces a long-term maintenance hazard inconsistent with the codebase's existing migration strategy.", + "target_files": [ + "control-plane/internal/storage/migrations.go", + "control-plane/internal/storage/models.go", + "control-plane/migrations/028_create_config_storage.sql" + ] + } + ], + "total_budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + } + } + }, + "pr_url": "https://github.com/Agent-Field/agentfield/pull/254", + "review": { + "body": "## \ud83d\udd34 PR-AF Review \u2014 **Needs Major Rework**\n\n*Automated multi-agent code review \u00b7 [PR-AF](https://github.com/Agent-Field/agentfield) built with [AgentField](https://github.com/Agent-Field/agentfield)*\n\n> **20 findings** \u00b7 \ud83d\udd34 3 critical \u00b7 \ud83d\udfe0 12 important \u00b7 \ud83d\udd35 2 suggestions \u00b7 \u26aa 3 nitpicks\n\n
\nPR Overview\n\n## Summary\n- Add `config_storage` table (GORM model + Goose migration 028) for storing configuration files in the database\n- Implement `SetConfig`/`GetConfig`/`ListConfigs`/`DeleteConfig` on the `StorageProvider` interface (works on both SQLite and PostgreSQL)\n- Add `AGENTFIELD_CONFIG_SOURCE=db` environment variable to load config from the database at startup (overlays on top of file config, preserving storage section for bootstrap)\n- Add CRUD API endpoints at `GET/PUT/DELETE /api/v1/configs/:key`\n- Add connector-scoped config routes gated by `config_management` capability\n- Add `config_management` capability to default `agentfield.yaml`\n\n## How It Works\n1. **Store config in DB**: `PUT /api/v1/configs/agentfield.yaml` with YAML body\n2. **Load from DB at startup**: Set `AGENTFIELD_CONFIG_SOURCE=db` \u2192 server reads config from DB after storage init\n3. **Remote management**: SaaS \u2192 connector \u2192 `config_management` capability \u2192 CP config API\n4. **Precedence**: env vars > DB config > file config > defaults\n5. **Bootstrap safety**: The `storage` section is never overridden from DB (DB connection can't come from DB)\n\n## Related PRs\n- Connector: Agent-Field/connector (config_management capability)\n- hax-sdk: Agent-Field/hax-sdk (config editor UI)\n\n## Test plan\n- [x] `go build ./...` passes\n- [x] Server tests pass\n- [x] Storage test failure is pre-existing (FTS5 not available)\n- [ ] Manual test: create config via API, verify it loads on restart with `AGENTFIELD_CONFIG_SOURCE=db`\n- [ ] Manual test: verify connector flow end-to-end\n\n\ud83e\udd16 Generated with [Claude Code](https://claude.com/claude-code)\n\n
\n\n### Key Findings\n\n**15 issue(s) should be addressed before merge:**\n\n- \ud83d\udd34 **MockStorageProvider implements SetConfig/GetConfig with wrong signatures and is missing ListConfigs and DeleteConfig entirely** (`control-plane/internal/handlers/ui/config_test.go:289`) \u2014 The `MockStorageProvider` in `config_test.go` (and identically in `execute_test.go`) implements `SetConfig` and `GetConfig` with signatures that do **not** match the `StorageProvider` interface define\u2026\n- \ud83d\udd34 **PUT /configs/agentfield.yaml can overwrite admin_token and internal_token via mergeDBConfig when DID.Method is set** (`control-plane/internal/server/config_db.go:87`) \u2014 When `AGENTFIELD_CONFIG_SOURCE=db` is set, `mergeDBConfig` in `config_db.go:87-89` replaces the **entire** `target.Features.DID` struct \u2014 including `Authorization.AdminToken` and `Authorization.Intern\u2026\n- \ud83d\udd34 **Config CRUD routes are not admin-authenticated: comment is false, no AdminTokenAuth applied** (`control-plane/internal/server/server.go:1550`) \u2014 The comment at line 1550 says `// Config storage routes (admin-authenticated)` but **no `AdminTokenAuth` middleware is applied**.\n- \ud83d\udfe0 **POST /configs/reload returns HTTP 200 with a success message even though most running services are unaffected by the reload** (`control-plane/internal/handlers/config_storage.go:121`) \u2014 The `ReloadConfig` handler returns: ```json {\"message\": \"config reloaded from database\"} ``` with `HTTP 200` when `reloadFn()` succeeds.\n- \ud83d\udfe0 **Dual-path schema creation for config_storage breaks the established single-source-of-truth migration pattern** (`control-plane/internal/storage/migrations.go:236`) \u2014 The `config_storage` table is created via two independent mechanisms that are never coordinated: 1.\n- \ud83d\udfe0 **AdminTokenAuth is a no-op when adminToken is empty \u2014 existing admin routes (tag approval, policy management) are unprotected in default dev config** (`control-plane/internal/server/middleware/auth.go:90`) \u2014 The comment on `AdminTokenAuth` says *\"falls back to global API key auth\"* when `adminToken` is empty.\n- \ud83d\udfe0 **GetConfig uses fragile string comparison instead of errors.Is(sql.ErrNoRows) for not-found detection** (`control-plane/internal/storage/local.go:5186`) \u2014 `GetConfig` at line 5186 checks for the not-found condition by comparing the error's string representation: ```go if err.Error() == \"sql: no rows in result set\" { return nil, nil } ``` This is f\u2026\n- \ud83d\udfe0 **Fragile `no rows` detection via string comparison instead of `errors.Is(sql.ErrNoRows)`** (`control-plane/internal/storage/local.go:5179`) \u2014 The `GetConfig` implementation detects a missing key by comparing the error string: ```go if err.Error() == \"sql: no rows in result set\" { return nil, nil } ``` This is the critical code path th\u2026\n- \u2026 and 7 more (see All Findings by Severity)\n\n**5 suggestion(s) and style note(s):**\n\n- \ud83d\udd35 DeleteConfig handler returns 404 for all storage errors, including 500-class failures (`control-plane/internal/handlers/config_storage.go:104`)\n- \ud83d\udd35 Version increment is application-enforced only; no DB-level constraint prevents version regression or skipping (`control-plane/internal/storage/models.go:483`)\n- \u26aa Redundant index on config_storage(key): the UNIQUE constraint already implies a unique index (`control-plane/migrations/028_create_config_storage.sql:14`)\n- \u26aa `fmt.Println`/`fmt.Printf` used for logging instead of the structured logger (`control-plane/internal/server/config_db.go:28`)\n- \u26aa Verified: no path conflict and no 503 regression from second `configHandlers` instantiation (`control-plane/internal/server/server.go:1572`)\n\n**Files with findings:** `control-plane/internal/handlers/config_storage.go`, `control-plane/internal/handlers/ui/config_test.go`, `control-plane/internal/server/config_db.go`, `control-plane/internal/server/middleware/auth.go`, `control-plane/internal/server/server.go`, `control-plane/internal/storage/local.go`, `control-plane/internal/storage/migrations.go`, `control-plane/internal/storage/models.go`, `control-plane/migrations/028_create_config_storage.sql`\n\n
\nAll Findings by Severity\n\n#### \ud83d\udd34 Critical (3)\n\n- **MockStorageProvider implements SetConfig/GetConfig with wrong signatures and is missing ListConfigs and DeleteConfig entirely** `control-plane/internal/handlers/ui/config_test.go:289`\n- **PUT /configs/agentfield.yaml can overwrite admin_token and internal_token via mergeDBConfig when DID.Method is set** `control-plane/internal/server/config_db.go:87`\n- **Config CRUD routes are not admin-authenticated: comment is false, no AdminTokenAuth applied** `control-plane/internal/server/server.go:1550`\n\n#### \ud83d\udfe0 Important (12)\n\n- **POST /configs/reload returns HTTP 200 with a success message even though most running services are unaffected by the reload** `control-plane/internal/handlers/config_storage.go:121`\n- **Dual-path schema creation for config_storage breaks the established single-source-of-truth migration pattern** `control-plane/internal/storage/migrations.go:236`\n- **AdminTokenAuth is a no-op when adminToken is empty \u2014 existing admin routes (tag approval, policy management) are unprotected in default dev config** `control-plane/internal/server/middleware/auth.go:90`\n- **GetConfig uses fragile string comparison instead of errors.Is(sql.ErrNoRows) for not-found detection** `control-plane/internal/storage/local.go:5186`\n- **Fragile `no rows` detection via string comparison instead of `errors.Is(sql.ErrNoRows)`** `control-plane/internal/storage/local.go:5179`\n- **Config routes registered on unauthenticated `agentAPI` group \u2014 no dedicated auth guard** `control-plane/internal/server/server.go:1550`\n- **WebhookDispatcher and ExecuteHandler/ApprovalWebhookHandler capture config values eagerly: reload cannot change webhook timeouts, agent-call timeout, secrets, or internal token** `control-plane/internal/server/server.go:366`\n- **ExecutionCleanupService copies config by value at construction: reload has zero effect on running behavior** `control-plane/internal/server/server.go:392`\n- **HealthMonitor copies config by value at construction: NodeHealth interval/timeout changes on reload are silently ignored** `control-plane/internal/server/server.go:160`\n- **CORS middleware is registered once at startup: reloading API.CORS config has no effect on running requests** `control-plane/internal/server/server.go:831`\n- **Goose migration for config_storage omits the updated_at auto-update trigger that equivalent tables have, and GORM autoUpdateTime does not replace it** `control-plane/migrations/028_create_config_storage.sql:10`\n- **SetConfig accepts arbitrary keys and values with no validation \u2014 allows storing malformed YAML or overwriting critical system keys** `control-plane/internal/handlers/config_storage.go:67`\n\n#### \ud83d\udd35 Suggestion (2)\n\n- **DeleteConfig handler returns 404 for all storage errors, including 500-class failures** `control-plane/internal/handlers/config_storage.go:104`\n- **Version increment is application-enforced only; no DB-level constraint prevents version regression or skipping** `control-plane/internal/storage/models.go:483`\n\n#### \u26aa Nitpick (3)\n\n- **Redundant index on config_storage(key): the UNIQUE constraint already implies a unique index** `control-plane/migrations/028_create_config_storage.sql:14`\n- **`fmt.Println`/`fmt.Printf` used for logging instead of the structured logger** `control-plane/internal/server/config_db.go:28`\n- **Verified: no path conflict and no 503 regression from second `configHandlers` instantiation** `control-plane/internal/server/server.go:1572`\n\n
\n\n
\nReview Process Details\n\n**Dimensions Analyzed (6):**\n\n- **Unauthenticated Config Write/Read/Delete via /api/v1/configs** \u2014 2 file(s)\n- **StorageProvider Interface Completeness: Missing Method Implementations** \u2014 2 file(s)\n- **Gin Route Registration: Duplicate Pattern Panic Risk** \u2014 1 file(s)\n- **Hot-Reload Does Not Reinitialize Services \u2014 Silent Staleness** \u2014 3 file(s)\n- **overlayDBConfig: yaml.Unmarshal Target Type and Nil Pointer Safety** \u2014 1 file(s)\n- **Schema Dual-Path Divergence: GORM AutoMigrate vs Goose Migration** \u2014 3 file(s)\n\n**Meta-Dimension Lenses (3):**\n\n- **Semantic** \u2014 5 dimension(s), 87% coverage confidence\n- **Mechanical** \u2014 5 dimension(s), 82% coverage confidence\n- **Systemic** \u2014 2 dimension(s), 78% coverage confidence\n\n**Cross-Reference & Adversary Analysis:**\n\n- **17** finding(s) adversarially tested: 9 confirmed, 8 challenged\n\n
\n\n
\nPipeline Stats\n\n| Metric | Value |\n|--------|-------|\n| Duration | 1933.7s |\n| Agent invocations | 15 |\n| Coverage iterations | 0 |\n| Estimated cost | N/A (provider does not report cost) |\n| Budget exhausted | Yes (timeout: 1933s > 900s limit) |\n| PR type | feature |\n| Complexity | complex |\n\n
\n\nReview ID: `rev_4840f78ef080`", + "comments": [ + { + "body": "\ud83d\udd34 **[CRITICAL] PUT /configs/agentfield.yaml can overwrite admin_token and internal_token via mergeDBConfig when DID.Method is set**\n\nWhen `AGENTFIELD_CONFIG_SOURCE=db` is set, `mergeDBConfig` in `config_db.go:87-89` replaces the **entire** `target.Features.DID` struct \u2014 including `Authorization.AdminToken` and `Authorization.InternalToken` \u2014 with values from the DB-stored YAML if `dbCfg.Features.DID.Method != \"\"`.\n\n```go\n// config_db.go:86-89\nif dbCfg.Features.DID.Method != \"\" {\n target.Features.DID = dbCfg.Features.DID // replaces AdminToken, InternalToken, all auth config\n}\n```\n\nThe comment at line 94 says `// API settings (but never override API key from DB for security)` and correctly protects `API.Auth.APIKey`. However, `AdminToken` (used to guard admin routes including tag approval, policy management, and the config routes themselves) and `InternalToken` (used as bearer for agent-to-agent calls) are both nested under `Features.DID.Authorization` and are **not similarly protected**.\n\nAttack chain:\n1. Attacker calls `PUT /api/v1/configs/agentfield.yaml` with a YAML body containing `features.did.method: did:key` and `features.did.authorization.admin_token: attacker-controlled-token` (unauthenticated, due to Finding 1).\n2. Attacker calls `POST /api/v1/configs/reload` to trigger `overlayDBConfig`.\n3. `mergeDBConfig` sees `dbCfg.Features.DID.Method == \"did:key\"` (non-empty), replaces `target.Features.DID` entirely, overwriting `AdminToken` with the attacker-controlled value.\n4. Attacker now has full `X-Admin-Token` admin access over tag approval, policy management, and all future admin routes.\n\n---\n\n> Step 1: Attacker sends `PUT /api/v1/configs/agentfield.yaml` with body `features:\\n did:\\n method: did:key\\n authorization:\\n admin_token: evil-token` \u2014 unauthenticated because `APIKeyAuth` is a no-op when `api_key` is empty (Finding 1).\n> Step 2: `SetConfig` at config_storage.go:85 calls `h.storage.SetConfig(ctx, \"agentfield.yaml\", body, \"api\")` \u2014 no validation or sanitization of the YAML content.\n> Step 3: Attacker sends `POST /api/v1/configs/reload`. `ReloadConfig` at config_storage.go:121 calls `h.reloadFn()` which calls `overlayDBConfig(s.config, s.storage)` (server.go:440).\n> Step 4: `overlayDBConfig` at config_db.go:37-42 parses the stored YAML into `dbCfg` and calls `mergeDBConfig(cfg, &dbCfg)`.\n> Step 5: `mergeDBConfig` at config_db.go:87-89: `dbCfg.Features.DID.Method == \"did:key\"` (non-empty), so `target.Features.DID = dbCfg.Features.DID` executes, replacing `Authorization.AdminToken` with `evil-token`.\n> Step 6: Subsequent requests using `X-Admin-Token: evil-token` are accepted by `AdminTokenAuth` at middleware/auth.go:99.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd explicit protection in `mergeDBConfig` for security-sensitive fields inside `Features.DID`, mirroring the API key protection at line 94:\n\n```go\nif dbCfg.Features.DID.Method != \"\" {\n // Preserve security-sensitive authorization tokens \u2014 must come from file/env only\n savedAdminToken := target.Features.DID.Authorization.AdminToken\n savedInternalToken := target.Features.DID.Authorization.InternalToken\n target.Features.DID = dbCfg.Features.DID\n target.Features.DID.Authorization.AdminToken = savedAdminToken\n target.Features.DID.Authorization.InternalToken = savedInternalToken\n}\n```\n\nLong-term, fixing Finding 1 (adding AdminTokenAuth to the config routes) removes the unauthenticated write path, making this a defense-in-depth item. Both fixes should be applied.\n\n---\n*`Config CRUD Route Authorization Gap` \u00b7 confidence 92%*", + "line": 87, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Config CRUD routes are not admin-authenticated: comment is false, no AdminTokenAuth applied**\n\nThe comment at line 1550 says `// Config storage routes (admin-authenticated)` but **no `AdminTokenAuth` middleware is applied**. The routes are registered directly on `agentAPI` (the bare `/api/v1` group) with no sub-group and no `.Use(middleware.AdminTokenAuth(...))` call.\n\nCompare this with lines 1532\u20131545 where the actual admin-protected routes are set up:\n\n```go\n// Lines 1532-1545 \u2014 ACTUAL admin auth\nadminGroup := agentAPI.Group(\"\")\nadminGroup.Use(middleware.AdminTokenAuth(s.config.Features.DID.Authorization.AdminToken))\n```\n\nBut the config routes at lines 1551\u20131554 are:\n\n```go\n// Lines 1550-1555 \u2014 NO admin auth applied\n{\n configHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n configHandlers.RegisterRoutes(agentAPI) // directly on agentAPI, NOT on adminGroup\n}\n```\n\nThe **only** protection is the global `middleware.APIKeyAuth` at line 881. As confirmed in `middleware/auth.go:26-29`, when `config.APIKey == \"\"` the middleware is an explicit no-op (`c.Next()` is called immediately). The default `agentfield.yaml` in the repo has **no `api.auth.api_key` field at all**, meaning `cfg.API.Auth.APIKey` is the zero value (empty string). The dev environment therefore runs fully unauthenticated.\n\nThis means on any default or dev deployment:\n- `GET /api/v1/configs` \u2014 lists **all** stored configuration entries including `agentfield.yaml`\n- `GET /api/v1/configs/agentfield.yaml` \u2014 returns the full config YAML including `admin_token`, `internal_token`, `webhook_secret`, DID keystore config\n- `PUT /api/v1/configs/agentfield.yaml` \u2014 overwrites the stored config, and if `AGENTFIELD_CONFIG_SOURCE=db` is set, `POST /api/v1/configs/reload` activates it, allowing an attacker to replace `admin_token`, `cors.allowed_origins`, DID authorization settings, etc.\n- `DELETE /api/v1/configs/:key` \u2014 deletes any stored configuration key\n\n---\n\n> Step 1: `setupRoutes()` (server.go:831) registers global middleware including `middleware.APIKeyAuth(middleware.AuthConfig{APIKey: s.config.API.Auth.APIKey, ...})` at line 881.\n> Step 2: `middleware.APIKeyAuth` at `middleware/auth.go:26-29` returns `c.Next()` immediately when `config.APIKey == \"\"`.\n> Step 3: `agentfield.yaml` (config/agentfield.yaml) has no `api.auth.api_key` key at all. `AuthConfig.APIKey` is an untagged Go string, defaulting to `\"\"`. The `applyEnvOverrides` function at config.go:263 only overrides if `AGENTFIELD_API_KEY` env var is non-empty.\n> Step 4: With no API key set, the global middleware is a no-op. No other middleware guards the `/api/v1/configs` routes.\n> Step 5: `configHandlers.RegisterRoutes(agentAPI)` at server.go:1553 calls `group.GET(\"/configs\", ...)`, `group.GET(\"/configs/:key\", ...)`, `group.PUT(\"/configs/:key\", ...)`, `group.DELETE(\"/configs/:key\", ...)`, and `group.POST(\"/configs/reload\", ...)` directly on the unauthenticated `agentAPI` group (server.go:1164 `agentAPI := s.Router.Group(\"/api/v1\")`).\n> Step 6: `GetConfig` at config_storage.go:51-63 calls `h.storage.GetConfig(ctx, key)` and returns the full entry value without redaction. `ListConfigs` at config_storage.go:35-48 returns all entries.\n> Step 7: Any unauthenticated HTTP client can `curl http://localhost:8080/api/v1/configs/agentfield.yaml` and receive the stored YAML including secrets.\n\n**\ud83d\udca1 Suggested Fix**\n\nCreate a dedicated sub-group with `AdminTokenAuth` applied before registering config routes, mirroring the pattern used for tag-approval and access-policy admin routes (lines 1532\u20131545):\n\n```go\n// Config storage routes \u2014 require admin token\nconfigAdminGroup := agentAPI.Group(\"\")\nconfigAdminGroup.Use(middleware.AdminTokenAuth(s.config.Features.DID.Authorization.AdminToken))\nconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\nconfigHandlers.RegisterRoutes(configAdminGroup)\n```\n\nNote: `AdminTokenAuth` is itself a no-op when `adminToken == \"\"` (see `middleware/auth.go:92-94`), so the admin token must also be required to be non-empty for this to be effective in production. Add a startup warning (similar to line 268) if the config routes are reachable but `AdminToken` is empty.\n\n---\n*`Config CRUD Route Authorization Gap` \u00b7 confidence 98%*", + "line": 1550, + "path": "control-plane/internal/server/server.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] POST /configs/reload returns HTTP 200 with a success message even though most running services are unaffected by the reload**\n\nThe `ReloadConfig` handler returns:\n\n```json\n{\"message\": \"config reloaded from database\"}\n```\n\nwith `HTTP 200` when `reloadFn()` succeeds. However, `reloadFn` is `overlayDBConfig`, which **only mutates the in-memory `*config.Config` struct**. As established by the other findings in this review, the overwhelming majority of services that consume config values have already copied those values at construction time and will not observe any change:\n\n- `ExecutionCleanupService` \u2014 reads retention period, cleanup interval, batch size from its own frozen copy\n- `HealthMonitor` \u2014 uses a frozen check interval ticker\n- `WebhookDispatcher` \u2014 uses a frozen `http.Client` timeout\n- `ExecuteHandler`/`ExecuteAsyncHandler` \u2014 use a frozen agent-call timeout\n- `ApprovalWebhookHandler` \u2014 uses a frozen HMAC secret\n- CORS middleware \u2014 configured once at `setupRoutes()` from the config values at that time\n- API key auth middleware \u2014 similarly frozen at route registration\n\nThe only fields that _are_ lazily re-read (because handlers call `s.config.*` directly) are a small subset of route-guard conditions checked on each request. But these are not what callers typically expect to change via a config reload.\n\nThere is **no documented contract** in the handler, any comment block, or any API response body that tells callers which fields are applied immediately versus which require a restart. A caller who updates `execution_cleanup.retention_period` in the DB, calls `POST /configs/reload`, receives `HTTP 200 \"config reloaded from database\"`, and concludes the cleanup service is now running with the new retention period is completely misled.\n\n---\n\n> Step 1: `config_storage.go:121` calls `h.reloadFn()` which is `overlayDBConfig(s.config, s.storage)` (server.go:440).\n> Step 2: `overlayDBConfig` calls `mergeDBConfig` which writes to fields of `*config.Config` in place (config_db.go:42,54-102).\n> Step 3: All background services examined hold value copies of the mutated fields (see companion findings above).\n> Step 4: `config_storage.go:128` returns `{\"message\": \"config reloaded from database\"}` \u2014 no qualification, no list of affected vs. unaffected subsystems.\n> Step 5: No code comment, no API documentation file, and no OpenAPI annotation in the target files describes which fields are hot-reloadable.\n\n**\ud83d\udca1 Suggested Fix**\n\nThe response body should be honest about what was applied. At minimum, add a disclaimer: return a structured body listing which config sections were merged and a note that changes to cleanup intervals, health monitor timings, webhook settings, and execution timeouts require a server restart to take effect. Longer term, either (a) implement true hot-reload for each service via `Reconfigure()` methods and enumerate the actually-reloaded subsystems in the response, or (b) make the API contract explicit in documentation and return a `partial_reload` status with a list of fields that only take effect after restart.\n\n---\n*`Config Reload Behavioral Contract` \u00b7 confidence 95%*", + "line": 121, + "path": "control-plane/internal/handlers/config_storage.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Dual-path schema creation for config_storage breaks the established single-source-of-truth migration pattern**\n\nThe `config_storage` table is created via two independent mechanisms that are never coordinated:\n\n1. **GORM AutoMigrate** (`migrations.go:236`): `&ConfigStorageModel{}` is included in the `autoMigrateSchema` call, which runs unconditionally on every server startup for **both** `local` (SQLite) and `postgres` modes.\n2. **Goose SQL migration** (`028_create_config_storage.sql`): A standalone DDL file intended to be run manually via `goose -dir ./migrations postgres ... up` before the server starts in PostgreSQL mode.\n\nEvery other model that has a Goose migration file also relies on GORM AutoMigrate for its schema (e.g., `DIDDocumentModel` \u2194 `019_create_did_documents.sql`, `AccessPolicyModel` \u2194 `021_create_access_policies.sql`, `AgentTagVCModel` \u2194 `022_create_agent_tag_vcs.sql`). This is the **established pattern** for this codebase: Goose files are the PostgreSQL-mode canonical DDL, and GORM AutoMigrate handles schema reconciliation on startup. `config_storage` follows this same dual-path \u2014 so the pattern is consistent \u2014 but the **design itself** is an undocumented hazard for future maintainers.\n\nThe critical risk is schema divergence over time. If a developer adds a column to `ConfigStorageModel` (e.g., `Tags string`), GORM AutoMigrate will silently add that column to both SQLite and PostgreSQL. But Goose migration `028` will not be updated. The reverse is equally true: if someone adds a `CHECK` constraint in a new Goose migration `029_alter_config_storage.sql`, GORM AutoMigrate will not reproduce it on a fresh install that skips Goose. Because neither mechanism has visibility into what the other has done, schema drift is a when-not-if scenario.\n\n---\n\n> Step 1: `StorageFactory.CreateStorage` (storage.go:350) calls `pgStorage.Initialize(ctx, ...)` for postgres mode.\n> Step 2: `Initialize` (local.go:534) calls `ls.initializePostgres(ctx)`.\n> Step 3: `initializePostgres` (local.go:734) calls `ls.createSchema(ctx)`.\n> Step 4: `createSchema` (local.go:862) calls `ls.autoMigrateSchema(ctx)` unconditionally, which includes `&ConfigStorageModel{}` (migrations.go:236), creating the table via GORM.\n> Step 5: The CLAUDE.md documentation instructs operators to also run `goose -dir ./migrations postgres ... up` before starting in PostgreSQL mode, which would also execute `028_create_config_storage.sql` (with `CREATE TABLE IF NOT EXISTS`, so no hard error, but the DDL is effectively applied twice from two separate sources).\n> Step 6: No mechanism prevents `ConfigStorageModel` fields from being changed in models.go without a corresponding Goose migration update.\n\n**\ud83d\udca1 Suggested Fix**\n\nDocument explicitly (in a comment in `migrations.go` near the AutoMigrate list, and in a header comment in `028_create_config_storage.sql`) that for PostgreSQL mode, the Goose file is the authoritative DDL for initial creation and structural constraints, while GORM AutoMigrate handles additive column additions. Add a CI check or test that compares the column set of the GORM model struct against the columns created by the corresponding Goose migration, to detect drift early. Alternatively, adopt the stricter approach used by `kv_store`, `distributed_locks`, and `memory_events` tables: create them entirely via `ensurePostgres*` helper functions (Go code with `CREATE TABLE IF NOT EXISTS`), removing the Goose SQL file entirely for purely application-managed tables.\n\n---\n*`Dual-Track Schema Management: AutoMigrate vs Goose` \u00b7 confidence 92%*", + "line": 236, + "path": "control-plane/internal/storage/migrations.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] GetConfig uses fragile string comparison instead of errors.Is(sql.ErrNoRows) for not-found detection**\n\n`GetConfig` at line 5186 checks for the not-found condition by comparing the error's string representation:\n\n```go\nif err.Error() == \"sql: no rows in result set\" {\n return nil, nil\n}\n```\n\nThis is fragile for two reasons:\n\n1. **Driver-dependent string**: The message `\"sql: no rows in result set\"` is the canonical text for `sql.ErrNoRows`, but the comparison bypasses the sentinel value. If any driver wraps `sql.ErrNoRows` (e.g., with `fmt.Errorf(\"...: %w\", sql.ErrNoRows)`), `errors.Is` would still match, but the string comparison would fail \u2014 causing a generic `\"failed to get config\"` error instead of the intended `nil, nil` (not-found) return.\n\n2. **Inconsistency**: Every other `GetX` method in `local.go` uses the idiomatic `errors.Is(err, sql.ErrNoRows)` pattern (e.g., `GetWorkflowRun` at line 300: `if errors.Is(err, sql.ErrNoRows) { return nil, nil }`). This deviation from the established pattern is a latent defect.\n\nThe downstream caller `config_db.go:27` relies on `entry == nil` to mean \"not found\" and prints an informational message. If the string comparison fails under a different driver or future wrapping, `overlayDBConfig` would instead return an error and potentially block server startup.\n\n---\n\n> Step 1: `GetConfig` at local.go:5185-5188 checks `err.Error() == \"sql: no rows in result set\"` to detect missing rows.\n> Step 2: `sql.ErrNoRows` is defined in `database/sql` as `var ErrNoRows = errors.New(\"sql: no rows in result set\")` \u2014 the string match coincidentally works today with direct `sql.QueryRowContext` usage.\n> Step 3: But `errors.Is(err, sql.ErrNoRows)` is the correct, future-proof idiom \u2014 used by the same file at line 300 (`GetWorkflowRun`), line 302: `if errors.Is(err, sql.ErrNoRows)`.\n> Step 4: If the underlying row scan ever returns a wrapped error (driver upgrade, middleware), `err.Error()` will not equal the bare string, causing a generic error to propagate instead of the nil-not-found signal.\n> Step 5: `config_db.go:27-29` consumes the nil return from `GetConfig` as \"no config in DB\" and silently continues; a spurious error here would cause `overlayDBConfig` to return an error, propagating to server startup.\n\n**\ud83d\udca1 Suggested Fix**\n\nReplace the string comparison with the standard sentinel check, consistent with the rest of the file:\n```go\nif errors.Is(err, sql.ErrNoRows) {\n return nil, nil\n}\n```\nThe `errors` package is already imported at line 8 of `local.go`.\n\n---\n*`StorageProvider Interface Implementation Completeness` \u00b7 confidence 85%*", + "line": 5186, + "path": "control-plane/internal/storage/local.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Fragile `no rows` detection via string comparison instead of `errors.Is(sql.ErrNoRows)`**\n\nThe `GetConfig` implementation detects a missing key by comparing the error string:\n\n```go\nif err.Error() == \"sql: no rows in result set\" {\n return nil, nil\n}\n```\n\nThis is the critical code path that `overlayDBConfig` depends on for safe early-return when `agentfield.yaml` does not exist in the DB. The guard in `overlayDBConfig` at line 27 (`if entry == nil { return nil }`) is only safe **if** `GetConfig` reliably returns `(nil, nil)` for a not-found key.\n\nThe string comparison is fragile for two concrete reasons:\n\n1. **Standard library contract:** `database/sql` defines `sql.ErrNoRows` as a sentinel error. The idiomatic and safe check is `errors.Is(err, sql.ErrNoRows)`. The string `\"sql: no rows in result set\"` is the `.Error()` text of `sql.ErrNoRows` \u2014 but it is not part of the public API and could change between Go versions.\n\n2. **Wrapped errors:** If any middleware, driver wrapper, or future refactoring wraps the `sql.ErrNoRows` error (e.g., `fmt.Errorf(\"scan failed: %w\", err)`), `err.Error()` will no longer match the literal string, but `errors.Is(err, sql.ErrNoRows)` would still return `true`. A wrapped error would fall through to the generic error path and return `(nil, wrappedError)`, causing `overlayDBConfig` to fail with `\"failed to read config from database\"` instead of silently skipping the DB config \u2014 a behavioral regression that would break startup whenever the DB config key is absent.\n\nWhile the current code works today (the string is stable in the standard `database/sql` implementation), this is an API contract violation that creates a latent bug.\n\n---\n\n> Step 1: `overlayDBConfig` (config_db.go:23) calls `store.GetConfig(ctx, \"agentfield.yaml\")`.\n> Step 2: `LocalStorage.GetConfig` (local.go) executes `SELECT ... WHERE key = ?` / `$1`.\n> Step 3: If key is absent, `row.Scan` returns `sql.ErrNoRows`.\n> Step 4: The implementation checks `err.Error() == \"sql: no rows in result set\"` \u2014 a string literal, not `errors.Is(err, sql.ErrNoRows)`.\n> Step 5: If the error is wrapped at any layer (now or in a future refactor), `err.Error()` no longer matches the literal, the condition is false, and the function returns `(nil, fmt.Errorf(\"failed to get config %q: %w\", key, err))`.\n> Step 6: `overlayDBConfig` receives `(nil, nonNilError)`, hits the `if err != nil` branch at line 24, and returns `fmt.Errorf(\"failed to read config from database: %w\", err)`.\n> Step 7: Server startup fails with an error even though no DB config was intended \u2014 a silent regression triggered by any error-wrapping change in the storage stack.\n\n**\ud83d\udca1 Suggested Fix**\n\nReplace the string comparison with `errors.Is`:\n\n```go\nimport (\n \"database/sql\"\n \"errors\"\n)\n\nif errors.Is(err, sql.ErrNoRows) {\n return nil, nil\n}\n```\n\nThis is both idiomatic Go and resilient to error wrapping. No behavioral change for the current code path.\n\n---\n*`overlayDBConfig Runtime Execution Trace` \u00b7 confidence 85%*", + "line": 5179, + "path": "control-plane/internal/storage/local.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Config routes registered on unauthenticated `agentAPI` group \u2014 no dedicated auth guard**\n\nThe config storage routes (`GET/PUT/DELETE /api/v1/configs/:key`, `GET /api/v1/configs`, `POST /api/v1/configs/reload`) are registered directly on the `agentAPI` group at line 1553 via `configHandlers.RegisterRoutes(agentAPI)`. The `agentAPI` group itself has **no middleware** \u2014 authentication is only provided by the global `s.Router.Use(middleware.APIKeyAuth(...))` applied at line 881.\n\nThe `APIKeyAuth` middleware has an explicit early-return when the configured key is empty:\n```go\n// No auth configured, allow everything.\nif config.APIKey == \"\" {\n c.Next()\n return\n}\n```\n\nWhen `AGENTFIELD_API_KEY` / `s.config.API.Auth.APIKey` is not set (which is the default in local/dev mode), **every** config endpoint \u2014 including `PUT /api/v1/configs/:key` (write arbitrary config), `DELETE /api/v1/configs/:key`, and `POST /api/v1/configs/reload` \u2014 is fully unauthenticated and accessible to any HTTP client with network access.\n\nContrast this with the comment on line 1550 which says \"admin-authenticated\": this is **misleading** \u2014 no admin token (`AdminTokenAuth`) is enforced here. The connector-facing duplicate at line 1572\u20131578 at least sits behind `ConnectorTokenAuth` + `ConnectorCapabilityCheck`. The `agentAPI`-facing endpoints have no equivalent protection beyond the optional global API key.\n\n---\n\n> Step 1: Global auth is registered at server.go:881 \u2014 `s.Router.Use(middleware.APIKeyAuth(middleware.AuthConfig{APIKey: s.config.API.Auth.APIKey, ...}))`. Step 2: `middleware.APIKeyAuth` (middleware/auth.go:26) returns early with `c.Next()` when `config.APIKey == \"\"`. Step 3: `agentAPI` is created at server.go:1164 as `s.Router.Group(\"/api/v1\")` with no middleware of its own. Step 4: `configHandlers.RegisterRoutes(agentAPI)` at server.go:1553 registers `PUT /api/v1/configs/:key`, `DELETE /api/v1/configs/:key`, and `POST /api/v1/configs/reload` directly on that group. Step 5: With default configuration (no API key set), any unauthenticated HTTP request to `PUT /api/v1/configs/some-key` with arbitrary body will write to the config store and return 200 OK.\n\n**\ud83d\udca1 Suggested Fix**\n\nRegister the config routes on a sub-group that requires the admin token middleware, consistent with how other admin-only routes are handled (e.g., the `adminGroup` created at line 1532). Replace:\n```go\n// Config storage routes (admin-authenticated)\n{\n configHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n configHandlers.RegisterRoutes(agentAPI)\n}\n```\nwith:\n```go\n// Config storage routes (admin-authenticated)\n{\n cfgAdminGroup := agentAPI.Group(\"\")\n cfgAdminGroup.Use(middleware.AdminTokenAuth(s.config.Features.DID.Authorization.AdminToken))\n configHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n configHandlers.RegisterRoutes(cfgAdminGroup)\n}\n```\nAlternatively, reuse the existing `adminGroup` (lines 1532\u20131545) if DID authorization is enabled, but ensure a fallback exists when it is not.\n\n---\n*`Dual Registration of Config Routes` \u00b7 confidence 95%*", + "line": 1550, + "path": "control-plane/internal/server/server.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Goose migration for config_storage omits the updated_at auto-update trigger that equivalent tables have, and GORM autoUpdateTime does not replace it**\n\nTables with `updated_at` columns in the Goose migrations for this codebase are paired with `BEFORE UPDATE` triggers that call `update_updated_at_column()`. For example:\n- `workflow_runs` (migration 011) has `CREATE TRIGGER update_workflow_runs_updated_at BEFORE UPDATE ... EXECUTE FUNCTION update_updated_at_column()`\n- `workflow_steps` (migration 011) has the same pattern\n\nMigration `028_create_config_storage.sql` defines `updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()` but **does not create an `BEFORE UPDATE` trigger** to keep `updated_at` current on row modifications.\n\nFor the `SetConfig` raw SQL path (local.go:5138-5147), `updated_at` is manually set by the application code (`updated_at = EXCLUDED.updated_at` where `EXCLUDED.updated_at` is the Go `now` variable). This means correctness depends entirely on every code path that touches `config_storage` explicitly setting `updated_at`. GORM's `autoUpdateTime` tag on `ConfigStorageModel.UpdatedAt` only fires when GORM ORM methods are used; the `SetConfig` / `GetConfig` / `DeleteConfig` implementations bypass GORM entirely and use raw `database/sql` queries.\n\nCurrently `SetConfig` does correctly set `updated_at`, so this is not an active bug. But the lack of a DB-level trigger means:\n1. Any future raw SQL that `UPDATE config_storage SET value = ... WHERE key = ...` without explicitly setting `updated_at` will silently leave `updated_at` stale.\n2. The schema contract is different from peer tables, making it a maintenance trap for contributors who see the trigger pattern on `workflow_runs` and assume it also exists on `config_storage`.\n\n---\n\n> Step 1: `028_create_config_storage.sql` lines 10-11 declare `updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()` but contain no trigger DDL.\n> Step 2: `011_create_workflow_runs_and_steps.sql` lines 47-54 show the expected pattern: `CREATE TRIGGER update_workflow_runs_updated_at BEFORE UPDATE ON workflow_runs FOR EACH ROW EXECUTE FUNCTION update_updated_at_column()`.\n> Step 3: `SetConfig` in local.go:5137-5147 does manually pass `updated_at = EXCLUDED.updated_at` in the ON CONFLICT clause, so the current implementation is correct.\n> Step 4: However, any future `UPDATE config_storage SET value = $1 WHERE key = $2` without an explicit `updated_at` clause would leave the column stale \u2014 the DB trigger pattern that prevents this on other tables is absent here.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a `BEFORE UPDATE` trigger to migration `028_create_config_storage.sql` mirroring the pattern in migration `011`:\n```sql\nCREATE TRIGGER update_config_storage_updated_at\n BEFORE UPDATE ON config_storage\n FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();\n```\nAnd add its DROP to the `-- +goose Down` section. This makes `updated_at` maintenance a DB invariant rather than an application-layer responsibility, consistent with how `workflow_runs` and `workflow_steps` are managed.\n\n---\n*`Dual-Track Schema Management: AutoMigrate vs Goose` \u00b7 confidence 85%*", + "line": 10, + "path": "control-plane/migrations/028_create_config_storage.sql", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] SetConfig accepts arbitrary keys and values with no validation \u2014 allows storing malformed YAML or overwriting critical system keys**\n\n`SetConfig` at config_storage.go:67 accepts any `key` from the URL parameter and any raw body as the value. There is no allowlist of permitted keys, no validation that the value is well-formed YAML when the key implies a YAML config file, and no protection against overwriting critical system keys.\n\nSpecific concerns:\n1. **Key `agentfield.yaml`** can be written with arbitrary content. When loaded via `overlayDBConfig`, a YAML parse error at `config_db.go:37` only returns a warning \u2014 the server does not crash but the config is partially loaded in an inconsistent state.\n2. **Arbitrary key injection**: An attacker can store keys like `../../../../etc/passwd` \u2014 while the storage layer likely sanitizes this, there is no explicit check in the handler.\n3. **No content-type enforcement**: The handler accepts any body as a raw string regardless of content type. The comment says \"Accepts raw YAML/text body\" but this is not validated.\n4. The `updatedBy` field at line 80-83 is taken directly from the `X-Updated-By` header with no sanitization \u2014 this is stored in the audit log and could be used for log injection.\n\n---\n\n> Step 1: `PUT /api/v1/configs/` calls `SetConfig` at config_storage.go:67.\n> Step 2: `key := c.Param(\"key\")` at line 68 \u2014 raw URL parameter, no validation.\n> Step 3: `body, err := io.ReadAll(c.Request.Body)` at line 70 \u2014 reads entire body as-is.\n> Step 4: `h.storage.SetConfig(ctx, key, string(body), updatedBy)` at line 85 \u2014 stores without validation.\n> Step 5: `updatedBy := c.GetHeader(\"X-Updated-By\")` at line 80 \u2014 user-controlled string stored in DB audit field.\n\n**\ud83d\udca1 Suggested Fix**\n\n1. Add an allowlist of permitted config keys (e.g., only `agentfield.yaml` or a predefined set), or at minimum validate the key does not contain path traversal characters.\n2. Validate that the body is valid YAML when the key ends in `.yaml` before persisting it.\n3. Sanitize the `X-Updated-By` header value (strip control characters, limit length).\n4. Return a clear error if the key is not in the allowlist.\n\n---\n*`Config CRUD Route Authorization Gap` \u00b7 confidence 82%*", + "line": 67, + "path": "control-plane/internal/handlers/config_storage.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] DeleteConfig handler returns 404 for all storage errors, including 500-class failures**\n\nThe `DeleteConfig` HTTP handler at line 106-108 responds with `http.StatusNotFound` (404) for **any** error returned by `storage.DeleteConfig`:\n\n```go\nif err := h.storage.DeleteConfig(c.Request.Context(), key); err != nil {\n c.JSON(http.StatusNotFound, gin.H{\"error\": err.Error()})\n return\n}\n```\n\nHowever, the storage implementation (`local.go:5235-5244`) can return two distinct error categories:\n- A not-found sentinel: `fmt.Errorf(\"config %q not found\", key)` when `RowsAffected() == 0`\n- A database execution error: `fmt.Errorf(\"failed to delete config %q: %w\", key, err)` for actual DB failures\n\nMapping a database-level error (connection failure, disk full, constraint violation) to 404 is semantically incorrect and will mislead API clients and operators. A DB failure should produce 500 Internal Server Error.\n\n---\n\n> Step 1: `DeleteConfig` in local.go:5235 executes `DELETE FROM config_storage WHERE key = ?`.\n> Step 2: If `db.ExecContext` returns an error (network, disk, constraint), local.go:5237-5239 returns `fmt.Errorf(\"failed to delete config %q: %w\", key, err)`.\n> Step 3: If `RowsAffected() == 0`, local.go:5242 returns `fmt.Errorf(\"config %q not found\", key)`.\n> Step 4: The handler at config_storage.go:107 maps BOTH error types to `http.StatusNotFound` (404).\n> Step 5: A database execution failure will be surfaced to the API client as a 404, concealing the real 5xx nature of the error.\n\n**\ud83d\udca1 Suggested Fix**\n\nDistinguish between not-found and server errors. One approach is to check the error message or define a sentinel type in the storage layer:\n```go\nif err := h.storage.DeleteConfig(c.Request.Context(), key); err != nil {\n // Check if it's a not-found error vs. a storage failure\n if strings.Contains(err.Error(), \"not found\") {\n c.JSON(http.StatusNotFound, gin.H{\"error\": err.Error()})\n } else {\n c.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n }\n return\n}\n```\nA cleaner solution is to define a typed `ErrNotFound` sentinel in the storage package and use `errors.Is` in the handler.\n\n---\n*`StorageProvider Interface Implementation Completeness` \u00b7 confidence 92%*", + "line": 104, + "path": "control-plane/internal/handlers/config_storage.go", + "side": "RIGHT" + }, + { + "body": "\u26aa **[NITPICK] Redundant index on config_storage(key): the UNIQUE constraint already implies a unique index**\n\nThe Goose migration defines `key TEXT NOT NULL UNIQUE` on line 5 (which in PostgreSQL automatically creates a unique B-tree index on `key`) and then explicitly creates `CREATE INDEX IF NOT EXISTS idx_config_storage_key ON config_storage(key)` on line 14. The explicit non-unique index on `key` is redundant because PostgreSQL will always prefer the unique index for lookups on that column.\n\nThis is a minor inefficiency: two indexes occupy storage and must be updated on every INSERT/UPDATE/DELETE to `config_storage`. The duplicate won't cause incorrect behavior, but it wastes space and write amplification.\n\n---\n\n> Step 1: `028_create_config_storage.sql` line 5 defines `key TEXT NOT NULL UNIQUE`.\n> Step 2: PostgreSQL documentation states a UNIQUE constraint automatically creates a unique B-tree index on the constrained column(s), which can be used for point lookups just as a regular index can.\n> Step 3: Line 14 then creates a separate non-unique index `idx_config_storage_key ON config_storage(key)`, duplicating coverage already provided by the unique constraint index.\n\n**\ud83d\udca1 Suggested Fix**\n\nRemove the explicit `CREATE INDEX IF NOT EXISTS idx_config_storage_key ON config_storage(key)` from the `-- +goose Up` section and its corresponding `DROP INDEX` from `-- +goose Down`. The UNIQUE constraint already provides an index suitable for all single-column equality lookups on `key`.\n\n---\n*`Dual-Track Schema Management: AutoMigrate vs Goose` \u00b7 confidence 95%*", + "line": 14, + "path": "control-plane/migrations/028_create_config_storage.sql", + "side": "RIGHT" + }, + { + "body": "\u26aa **[NITPICK] `fmt.Println`/`fmt.Printf` used for logging instead of the structured logger**\n\nBoth the not-found path (line 28) and the success path (line 47) log via `fmt.Println` / `fmt.Printf` rather than the project's structured logger (`zerolog`).\n\nThe CLAUDE.md project guidance specifies:\n> Use zerolog for structured logging: `logger.Logger.Info().Msg(\"message\")`\n\nUsing `fmt.Print*` here:\n- Bypasses log-level filtering (these messages always appear, even in production with `LOG_LEVEL=warn`)\n- Produces unstructured output that cannot be parsed by log aggregation systems\n- Is inconsistent with the rest of the control-plane codebase\n\nThis is a style/maintainability issue, not a correctness bug.\n\n---\n\n> Line 28: `fmt.Println(\"[config] No database config found (key: agentfield.yaml), using file/env config only.\")`\n> Line 47: `fmt.Printf(\"[config] Loaded config from database (key: %s, version: %d, updated: %s)\\n\", ...)`\n> Both bypass zerolog, the structured logger used throughout the rest of the control-plane (per CLAUDE.md and observed usage in other files).\n\n**\ud83d\udca1 Suggested Fix**\n\nReplace `fmt.Println` / `fmt.Printf` with the zerolog structured logger:\n\n```go\nimport \"github.com/Agent-Field/agentfield/control-plane/internal/logger\"\n\n// not-found path:\nlogger.Logger.Info().Str(\"key\", dbConfigKey).Msg(\"No database config found, using file/env config only\")\n\n// success path:\nlogger.Logger.Info().\n Str(\"key\", entry.Key).\n Int(\"version\", entry.Version).\n Time(\"updated\", entry.UpdatedAt).\n Msg(\"Loaded config from database\")\n```\n\n---\n*`overlayDBConfig Runtime Execution Trace` \u00b7 confidence 95%*", + "line": 28, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] Version increment is application-enforced only; no DB-level constraint prevents version regression or skipping**\n\nThe `ConfigStorageModel.Version` field is declared with `gorm:\"column:version;not null;default:1\"` and the auto-increment is implemented purely in application SQL via `version = config_storage.version + 1` in `SetConfig` (local.go:5143, 5156). Neither the GORM model nor the Goose migration adds a `CHECK (version > 0)` constraint or a sequence-based mechanism.\n\nThis means:\n1. Any code path that uses GORM ORM methods directly (e.g., `db.Save(&ConfigStorageModel{..., Version: 0, ...})`) will set version to 0 or any arbitrary value, bypassing the increment logic.\n2. The `version` field comment says it is for \"audit trail\" (models.go:478), but without a monotonically-increasing guarantee at the DB level, audit integrity can be violated silently.\n\nThis is a suggestion rather than a critical issue because currently all writes go through the raw-SQL `SetConfig` which correctly increments. But the model struct exposes `Version int` as a writable field, and future GORM-based code would not benefit from the increment.\n\n---\n\n> Step 1: `ConfigStorageModel.Version` is `int` with `gorm:\"column:version;not null;default:1\"` (models.go:483) \u2014 no GORM constraint prevents setting it to any value.\n> Step 2: `SetConfig` increments via `version = config_storage.version + 1` in the ON CONFLICT clause (local.go:5143, 5156) \u2014 this is correct.\n> Step 3: But any direct GORM call like `gormDB.Save(&ConfigStorageModel{Key: \"k\", Value: \"v\", Version: 0})` would set version to 0, no DB constraint prevents it.\n> Step 4: `028_create_config_storage.sql` line 7 defines `version INTEGER NOT NULL DEFAULT 1` with no CHECK constraint.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a `CHECK (version >= 1)` constraint in migration `028_create_config_storage.sql`:\n```sql\nversion INTEGER NOT NULL DEFAULT 1 CHECK (version >= 1),\n```\nThis at minimum prevents accidental version-0 writes. For a stronger audit guarantee, document that GORM's ORM Save/Create methods should never be used directly on `ConfigStorageModel`; only `SetConfig`/`DeleteConfig` are the sanctioned write paths.\n\n---\n*`Dual-Track Schema Management: AutoMigrate vs Goose` \u00b7 confidence 75%*", + "line": 483, + "path": "control-plane/internal/storage/models.go", + "side": "RIGHT" + }, + { + "body": "\u26aa **[NITPICK] Verified: no path conflict and no 503 regression from second `configHandlers` instantiation**\n\nThe two `configHandlers` declarations are in separate block scopes (lines 1551\u20131555 and 1575\u20131578) with no shadowing of a shared variable. They register routes on distinct base paths:\n\n- First: `agentAPI` \u2192 `/api/v1/configs/...`\n- Second: `configGroup` (= `connectorGroup.Group(\"\")` = `agentAPI.Group(\"/connector\")`) \u2192 `/api/v1/connector/configs/...`\n\nGin's router tree separates these cleanly \u2014 no duplicate-path panic occurs.\n\nThe `:key` parameter name is identical in both registrations (both call the same `RegisterRoutes` method), but since they live in different router-tree path segments (`/configs` under `/api/v1` vs `/configs` under `/api/v1/connector`), there is no wildcard conflict.\n\nBoth calls pass `s.configReloadFn()` which evaluates `os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\")` at setup time and returns either `nil` or a valid reload closure. The connector-facing reload endpoint will return 503 only when the env var is not `\"db\"` \u2014 **exactly the same behavior** as the `agentAPI`-facing endpoint. There is no regression here.\n\nThe variable name reuse (`configHandlers`) inside separate Go block scopes (`{ }`) is cosmetically confusing but harmless \u2014 Go's scoping rules guarantee no aliasing.\n\n---\n\n> Step 1: `agentAPI` base path = `/api/v1` (server.go:1164). Step 2: `connectorGroup = agentAPI.Group(\"/connector\")` \u2192 base `/api/v1/connector` (server.go:1559). Step 3: `configGroup = connectorGroup.Group(\"\")` \u2192 still `/api/v1/connector` (server.go:1573). Step 4: `RegisterRoutes` registers identical relative paths (`/configs`, `/configs/:key`, `/configs/reload`) on both groups, yielding `/api/v1/configs/...` and `/api/v1/connector/configs/...` \u2014 distinct full paths. Step 5: Both `NewConfigStorageHandlers` calls at lines 1552 and 1576 invoke `s.configReloadFn()` which is the same method returning equivalent closures (or nil). No behavioral divergence.\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider renaming the inner `configHandlers` to `connectorConfigHandlers` for clarity, even though the current code is functionally correct:\n```go\nconnectorConfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\nconnectorConfigHandlers.RegisterRoutes(configGroup)\n```\n\n---\n*`Dual Registration of Config Routes` \u00b7 confidence 98%*", + "line": 1572, + "path": "control-plane/internal/server/server.go", + "side": "RIGHT" + } + ], + "event": "REQUEST_CHANGES" + }, + "review_id": "rev_4840f78ef080", + "summary": { + "adversary_challenged": 8, + "adversary_confirmed": 9, + "ai_generated_confidence": 0.8, + "budget_exhausted": true, + "by_severity": { + "critical": 3, + "important": 12, + "nitpick": 3, + "suggestion": 2 + }, + "cost_usd": 0, + "coverage_iterations": 0, + "cross_ref_interactions": 0, + "dimensions_run": 6, + "duration_seconds": 1933.747, + "total_findings": 20 + } + }, + "started_at": "2026-03-10T16:55:06Z", + "completed_at": "2026-03-10T17:27:35Z", + "duration_ms": 1948494, + "webhook_registered": false +} diff --git a/src/pr_af/orchestrator.py b/src/pr_af/orchestrator.py index 96e6a11..bccb445 100644 --- a/src/pr_af/orchestrator.py +++ b/src/pr_af/orchestrator.py @@ -30,7 +30,7 @@ meta_mechanical, meta_semantic, meta_systemic, - planning_phase, + planning_phase, # Keep for backward compat review_dimension, ) from .schemas.input import ChangedFile, GitHubPRData, ReviewInput @@ -116,6 +116,7 @@ def __init__(self, app: Any, input: ReviewInput, config: ReviewConfig | None = N self.cross_ref_count = 0 self.adversary_confirmed_count = 0 self.adversary_challenged_count = 0 + self.effective_depth: str = "standard" async def run(self) -> ReviewResult: print("[PR-AF] Starting 7-phase pipeline", flush=True) @@ -172,6 +173,8 @@ async def run(self) -> ReviewResult: flush=True, ) + self._cleanup_context_dir() + return result async def _run_intake(self) -> IntakeResult: @@ -273,6 +276,8 @@ async def run_lens(lens_name: str) -> MetaDimensionResult: intake=intake.model_dump(), anatomy=anatomy.model_dump(), depth=review_depth, + repo_path=self.input.repo_path or "", + diff_patches=self._build_file_patches(), ) self.agent_invocations += 1 self._register_cost("meta_selectors", self._extract_cost(result_raw)) @@ -281,8 +286,10 @@ async def run_lens(lens_name: str) -> MetaDimensionResult: tasks = [run_lens(lens) for lens in lenses if lens in lens_map] meta_results: list[MetaDimensionResult] = await asyncio.gather(*tasks) self.meta_selector_results = meta_results + self.effective_depth = self._escalate_depth(review_depth) all_dimensions: list[ReviewDimension] = [] + cross_ref_hints: list[str] = [] for meta in meta_results: for dim in meta.dimensions: dim = dim.model_copy(update={"id": f"{meta.lens}_{dim.id}"}) @@ -303,14 +310,15 @@ async def run_lens(lens_name: str) -> MetaDimensionResult: flush=True, ) - return ReviewPlan(dimensions=all_dimensions, cross_ref_hints=[]) + return ReviewPlan(dimensions=all_dimensions, cross_ref_hints=cross_ref_hints) def _dedup_cross_meta(self, dimensions: list[ReviewDimension]) -> list[ReviewDimension]: seen_targets: dict[str, ReviewDimension] = {} deduped: list[ReviewDimension] = [] for dim in dimensions: - key_str = "|".join(sorted(dim.target_files)) + key = tuple(sorted(dim.target_files)) + key_str = "|".join(key) if key_str in seen_targets: existing = seen_targets[key_str] if dim.priority > existing.priority: @@ -343,6 +351,8 @@ async def run_batch(batch: list[ReviewFinding]) -> list[AdversaryResult]: adversary_raw = await adversary_phase( findings=[f.model_dump() for f in batch], ai_generated_confidence=ai_confidence, + pr_context=self._build_pr_context_string(), + repo_path=self.input.repo_path or "", ) self.agent_invocations += 1 self._register_cost("adversary", self._extract_cost(adversary_raw)) @@ -369,6 +379,9 @@ async def run_dimension(dim: ReviewDimension, depth: int) -> None: if self._budget_or_timeout_exhausted("review"): return async with semaphore: + all_patches = self._build_file_patches() + dim_patches = {f: p for f, p in all_patches.items() if f in dim.target_files} + result_raw = await review_dimension( review_prompt=dim.review_prompt, target_files=dim.target_files, @@ -376,6 +389,11 @@ async def run_dimension(dim: ReviewDimension, depth: int) -> None: repo_path=self.input.repo_path or "", current_depth=depth, max_depth=max_depth, + pr_narrative=self.anatomy_result.pr_narrative if self.anatomy_result else "", + risk_surfaces=self.anatomy_result.risk_surfaces if self.anatomy_result else [], + intake_summary=self.intake_result.pr_summary if self.intake_result else "", + diff_patches=dim_patches if dim_patches else None, + all_dimension_names=[d.name for d in plan.dimensions if d.id != dim.id], ) self.agent_invocations += 1 self._register_cost("review", self._extract_cost(result_raw)) @@ -450,6 +468,8 @@ async def _run_review_layer( cross_raw = await cross_ref_phase( findings=[f.model_dump() for f in confirmed_findings], cross_ref_hints=plan.cross_ref_hints, + cluster_context=self._build_cluster_context_string(), + repo_path=self.input.repo_path or "", ) self.agent_invocations += 1 self._register_cost("cross_ref", self._extract_cost(cross_raw)) @@ -470,9 +490,11 @@ async def _run_coverage_loop( break reviewed_clusters = self._reviewed_clusters(anatomy, findings) + dimension_names = [d.name for d in plan.dimensions] gate_raw = await coverage_gate( anatomy=anatomy.model_dump(), reviewed_clusters=reviewed_clusters, + dimension_names_reviewed=dimension_names, ) self.agent_invocations += 1 self._register_cost("coverage", self._extract_cost(gate_raw)) @@ -514,6 +536,8 @@ async def _run_coverage_loop( cross_raw = await cross_ref_phase( findings=[f.model_dump() for f in confirmed_findings], cross_ref_hints=plan.cross_ref_hints, + cluster_context=self._build_cluster_context_string(), + repo_path=self.input.repo_path or "", ) self.agent_invocations += 1 self._register_cost("cross_ref", self._extract_cost(cross_raw)) @@ -574,6 +598,80 @@ def _diff_line_ranges(self) -> dict[str, list[tuple[int, int]]]: ranges[cf.path] = [(1, 999999)] return ranges + def _build_file_patches(self) -> dict[str, str]: + if not self.pr_data: + return {} + patches: dict[str, str] = {} + for cf in self.pr_data.changed_files: + if cf.patch: + patches[cf.path] = cf.patch + return patches + + def _build_pr_context_string(self) -> str: + parts = [] + if self.intake_result: + parts.append(f"PR Type: {self.intake_result.pr_type}") + parts.append(f"Complexity: {self.intake_result.complexity}") + parts.append(f"Summary: {self.intake_result.pr_summary}") + if self.intake_result.risk_signals: + parts.append(f"Risk Signals: {', '.join(self.intake_result.risk_signals)}") + if self.anatomy_result: + parts.append(f"PR Narrative: {self.anatomy_result.pr_narrative}") + if self.anatomy_result.intent_gaps: + parts.append(f"Intent Gaps: {', '.join(self.anatomy_result.intent_gaps)}") + return "\n".join(parts) + + def _build_cluster_context_string(self) -> str: + if not self.anatomy_result: + return "" + parts = [] + for cluster in self.anatomy_result.clusters: + parts.append(f"- {cluster.name}: {cluster.description or ', '.join(cluster.files[:5])}") + return "\n".join(parts) + + def _escalate_depth(self, current_depth: str) -> str: + if current_depth == "deep": + return "deep" + + escalation_signals = 0 + + if self.anatomy_result: + if len(self.anatomy_result.blast_radius) > 10: + escalation_signals += 1 + if len(self.anatomy_result.intent_gaps) > 0: + escalation_signals += 1 + if len(self.anatomy_result.risk_surfaces) > 3: + escalation_signals += 1 + if self.anatomy_result.stats.total_additions > 500: + escalation_signals += 1 + + if self.meta_selector_results: + low_confidence = sum(1 for m in self.meta_selector_results if m.confidence < 0.5) + if low_confidence >= 2: + escalation_signals += 1 + + if escalation_signals >= 2 and current_depth == "quick": + print(f"[PR-AF] Depth escalation: quick → standard (signals={escalation_signals})", flush=True) + return "standard" + if escalation_signals >= 3 and current_depth == "standard": + print(f"[PR-AF] Depth escalation: standard → deep (signals={escalation_signals})", flush=True) + return "deep" + + return current_depth + + def _cleanup_context_dir(self) -> None: + repo_path = self.input.repo_path or "" + if not repo_path: + return + ctx_dir = os.path.join(repo_path, ".pr-af-context") + if os.path.isdir(ctx_dir): + import shutil + + try: + shutil.rmtree(ctx_dir) + except OSError: + pass + async def _generate_output( self, scored_findings: list[ScoredFinding], @@ -1096,6 +1194,13 @@ def _build_review_details(self, findings: list[ScoredFinding], plan: ReviewPlan lines: list[str] = [] detail_parts: list[str] = [] + if plan and plan.dimensions: + detail_parts.append(f"**Dimensions Analyzed ({len(plan.dimensions)}):**") + detail_parts.append("") + for dim in plan.dimensions: + detail_parts.append(f"- **{dim.name}** — {len(dim.target_files)} file(s)") + detail_parts.append("") + if self.meta_selector_results: detail_parts.append(f"**Meta-Dimension Lenses ({len(self.meta_selector_results)}):**") detail_parts.append("") @@ -1107,13 +1212,6 @@ def _build_review_details(self, findings: list[ScoredFinding], plan: ReviewPlan ) detail_parts.append("") - if plan and plan.dimensions: - detail_parts.append(f"**Dimensions Analyzed ({len(plan.dimensions)}):**") - detail_parts.append("") - for dim in plan.dimensions: - detail_parts.append(f"- **{dim.name}** — {len(dim.target_files)} file(s)") - detail_parts.append("") - sub_review_dims = {f.dimension_name for f in findings if "→" in f.dimension_name} if sub_review_dims: detail_parts.append(f"**Sub-Reviews Spawned ({len(sub_review_dims)} deep-dives):**") diff --git a/src/pr_af/reasoners/harnesses.py b/src/pr_af/reasoners/harnesses.py index 615f15e..1141cd3 100644 --- a/src/pr_af/reasoners/harnesses.py +++ b/src/pr_af/reasoners/harnesses.py @@ -1,5 +1,7 @@ from __future__ import annotations +import os + from pydantic import BaseModel, Field from . import router @@ -99,6 +101,16 @@ def _extract_languages(pr: GitHubPRData) -> list[str]: return sorted(languages) +def _write_context_file(content: str, name: str, repo_path: str) -> str: + """Write large context to a file for .harness() to read. Returns file path.""" + ctx_dir = os.path.join(repo_path, ".pr-af-context") + os.makedirs(ctx_dir, exist_ok=True) + path = os.path.join(ctx_dir, name) + with open(path, "w", encoding="utf-8") as f: + f.write(content) + return path + + def _extract_areas(paths: list[str]) -> list[str]: area_patterns = { "auth": ("auth", "login", "oauth", "permission", "acl"), @@ -435,39 +447,63 @@ async def planning_phase(intake: dict, anatomy: dict, depth: str = "standard", h # --------------------------------------------------------------------------- -def _build_meta_context(intake: dict, anatomy: dict) -> str: +def _build_meta_context(intake: dict, anatomy: dict, diff_patches: dict[str, str] | None = None) -> str: """Build shared context string for all meta-selectors.""" import json as _json intake_result = IntakeResult.model_validate(intake) anatomy_result = AnatomyResult.model_validate(anatomy) - return _json.dumps( - { - "intake": { - "pr_type": intake_result.pr_type, - "complexity": intake_result.complexity, - "pr_summary": intake_result.pr_summary, - "areas_touched": intake_result.areas_touched, - "risk_signals": intake_result.risk_signals, - }, - "clusters": _cluster_descriptions(anatomy_result.clusters), - "risk_surfaces": anatomy_result.risk_surfaces, - "pr_narrative": anatomy_result.pr_narrative, - "file_paths": [f.path for f in anatomy_result.files[:30]], + payload: dict[str, object] = { + "intake": { + "pr_type": intake_result.pr_type, + "complexity": intake_result.complexity, + "pr_summary": intake_result.pr_summary, + "areas_touched": intake_result.areas_touched, + "risk_signals": intake_result.risk_signals, }, - default=str, - ) + "clusters": _cluster_descriptions(anatomy_result.clusters), + "risk_surfaces": anatomy_result.risk_surfaces, + "pr_narrative": anatomy_result.pr_narrative, + "blast_radius": anatomy_result.blast_radius[:20], + "intent_gaps": anatomy_result.intent_gaps, + "unrelated_changes": anatomy_result.unrelated_changes, + "context_notes": anatomy_result.context_notes, + "diff_stats": { + "total_files": anatomy_result.stats.total_files, + "total_additions": anatomy_result.stats.total_additions, + "total_deletions": anatomy_result.stats.total_deletions, + }, + "file_paths": [f.path for f in anatomy_result.files[:30]], + } + + if diff_patches: + payload["diff_patches"] = dict(list(diff_patches.items())[:15]) + + return _json.dumps(payload, default=str) @router.reasoner() -async def meta_semantic(intake: dict, anatomy: dict, depth: str = "standard") -> dict: +async def meta_semantic( + intake: dict, + anatomy: dict, + depth: str = "standard", + repo_path: str = "", + diff_patches: dict[str, str] | None = None, +) -> dict: """Semantic lens: What does this code DO differently? Focuses on logic, behavior, API contracts, concurrency, security, error handling. Asks: "If I run the old code and the new code side by side, where do they diverge?" """ - context = _build_meta_context(intake, anatomy) + context = _build_meta_context(intake, anatomy, diff_patches) + context_ref = f"{context}" + if repo_path and len(context) > 8000: + file_path = _write_context_file(context, "meta_semantic_context.json", repo_path) + context_ref = ( + f"\n\nFull analysis context written to: {file_path}\n" + f"Read this file for complete PR context including diff patches." + ) result = await router.app.harness( f"You are a principal engineer designing review dimensions through the SEMANTIC lens.\n\n" @@ -486,6 +522,16 @@ async def meta_semantic(intake: dict, anatomy: dict, depth: str = "standard") -> f"Are there silent swallows or unhandled paths?\n" f"- **Data flow**: Does data pass through the same transformations? Are there type " f"coercions, format changes, or encoding differences?\n\n" + f"## Investigation Protocol\n\n" + f"You have full access to the repository. The context below gives you a starting " + f"point — PR summary, anatomy, and diff patches.\n\n" + f"- START by reading the context to understand WHAT changed.\n" + f"- THEN browse the actual source files to understand HOW the changed code fits into " + f"the broader codebase.\n" + f"- Read the changed functions. Then find their callers. Trace how data flows through " + f"them. Check what error paths exist.\n" + f"- ADAPT your investigation based on what you discover — if you find a concerning " + f"pattern, dig deeper in adjacent files and call paths.\n\n" f"## What NOT to Include\n\n" f"Do NOT generate dimensions about:\n" f"- Code style, naming, formatting (that's Systemic)\n" @@ -496,13 +542,20 @@ async def meta_semantic(intake: dict, anatomy: dict, depth: str = "standard") -> f"Good: 'Does the migration from sync to async preserve error propagation to callers?'\n" f"Bad: 'Check for concurrency issues'\n\n" f"Each dimension needs: id, name, review_prompt (complete briefing for the reviewer), " - f"target_files, context_files, and priority (higher = more critical).\n\n" + f"target_files, context_files, and priority (higher = more critical).\n" + f"The review_prompt must include specific file paths and line ranges discovered during " + f"your repository investigation, plus the exact verification steps the reviewer should run.\n\n" + f"## Quality Gate\n\n" + f"Do NOT generate dimensions based solely on diff text. Every dimension must be informed " + f"by what you discovered in the actual codebase. If your rationale says 'visible in the " + f"diff' or 'based on the patches', you have not investigated enough.\n\n" f"Depth '{depth}' means: quick=1-2 dimensions, standard=2-3, deep=3-5\n" f"If the PR has no semantic risk, return ZERO dimensions. Do not pad.\n\n" f"Also provide a rationale explaining your dimension choices and a confidence " f"score (0-1) for how completely your dimensions cover the semantic risk surface.\n\n" - f"{context}", + f"{context_ref}", schema=MetaDimensionResult, + cwd=repo_path or None, ) parsed = result.parsed if result.parsed else MetaDimensionResult(lens="semantic", dimensions=[]) parsed.lens = "semantic" @@ -510,13 +563,26 @@ async def meta_semantic(intake: dict, anatomy: dict, depth: str = "standard") -> @router.reasoner() -async def meta_mechanical(intake: dict, anatomy: dict, depth: str = "standard") -> dict: +async def meta_mechanical( + intake: dict, + anatomy: dict, + depth: str = "standard", + repo_path: str = "", + diff_patches: dict[str, str] | None = None, +) -> dict: """Mechanical lens: Does this code WORK correctly at the language level? Focuses on types, signatures, calling conventions, decorator effects, framework interactions. Asks: "Will this code compile/run without errors?" """ - context = _build_meta_context(intake, anatomy) + context = _build_meta_context(intake, anatomy, diff_patches) + context_ref = f"{context}" + if repo_path and len(context) > 8000: + file_path = _write_context_file(context, "meta_mechanical_context.json", repo_path) + context_ref = ( + f"\n\nFull analysis context written to: {file_path}\n" + f"Read this file for complete PR context including diff patches." + ) result = await router.app.harness( f"You are a principal engineer designing review dimensions through the MECHANICAL lens.\n\n" @@ -539,6 +605,17 @@ async def meta_mechanical(intake: dict, anatomy: dict, depth: str = "standard") f"dependencies? Are optional dependencies guarded?\n" f"- **Runtime mechanics**: Will this code actually execute without AttributeError, " f"TypeError, KeyError, ImportError? Trace the exact runtime behavior.\n\n" + f"## Investigation Protocol\n\n" + f"You have full access to the repository. The context below gives you a starting " + f"point — PR summary, anatomy, and diff patches.\n\n" + f"- START by reading the context to understand WHAT changed.\n" + f"- THEN browse the actual source files to understand HOW the changed code fits into " + f"the broader codebase.\n" + f"- Read the actual function signatures that changed. Then search for all callers of " + f"those functions. Check whether callers pass the right arguments and whether import " + f"chains still resolve correctly.\n" + f"- ADAPT your investigation based on what you discover — if you find one caller or " + f"dependency break, keep tracing until you understand blast radius.\n\n" f"## What NOT to Include\n\n" f"Do NOT generate dimensions about:\n" f"- Whether the logic is correct (that's Semantic)\n" @@ -550,13 +627,20 @@ async def meta_mechanical(intake: dict, anatomy: dict, depth: str = "standard") f"added in this PR?'\n" f"Bad: 'Check for type errors'\n\n" f"Each dimension needs: id, name, review_prompt (complete briefing for the reviewer), " - f"target_files, context_files, and priority (higher = more critical).\n\n" + f"target_files, context_files, and priority (higher = more critical).\n" + f"The review_prompt must include specific file paths and line ranges discovered during " + f"your repository investigation, plus the exact call sites/import chains to verify.\n\n" + f"## Quality Gate\n\n" + f"Do NOT generate dimensions based solely on diff text. Every dimension must be informed " + f"by what you discovered in the actual codebase. If your rationale says 'visible in the " + f"diff' or 'based on the patches', you have not investigated enough.\n\n" f"Depth '{depth}' means: quick=1-2 dimensions, standard=2-3, deep=3-5\n" f"If the PR has no mechanical risk, return ZERO dimensions. Do not pad.\n\n" f"Also provide a rationale explaining your dimension choices and a confidence " f"score (0-1) for how completely your dimensions cover the mechanical risk surface.\n\n" - f"{context}", + f"{context_ref}", schema=MetaDimensionResult, + cwd=repo_path or None, ) parsed = result.parsed if result.parsed else MetaDimensionResult(lens="mechanical", dimensions=[]) parsed.lens = "mechanical" @@ -564,13 +648,26 @@ async def meta_mechanical(intake: dict, anatomy: dict, depth: str = "standard") @router.reasoner() -async def meta_systemic(intake: dict, anatomy: dict, depth: str = "standard") -> dict: +async def meta_systemic( + intake: dict, + anatomy: dict, + depth: str = "standard", + repo_path: str = "", + diff_patches: dict[str, str] | None = None, +) -> dict: """Systemic lens: How does this code FIT the codebase? Focuses on patterns, complexity, readability, architectural coherence, test coverage. Asks: "Does this change make the codebase better or worse?" """ - context = _build_meta_context(intake, anatomy) + context = _build_meta_context(intake, anatomy, diff_patches) + context_ref = f"{context}" + if repo_path and len(context) > 8000: + file_path = _write_context_file(context, "meta_systemic_context.json", repo_path) + context_ref = ( + f"\n\nFull analysis context written to: {file_path}\n" + f"Read this file for complete PR context including diff patches." + ) result = await router.app.harness( f"You are a principal engineer designing review dimensions through the SYSTEMIC lens.\n\n" @@ -593,6 +690,16 @@ async def meta_systemic(intake: dict, anatomy: dict, depth: str = "standard") -> f"alternatives? Is the dependency well-maintained?\n" f"- **Migration completeness**: If this is part of a larger migration, is it " f"complete or does it leave the codebase in a mixed state?\n\n" + f"## Investigation Protocol\n\n" + f"You have full access to the repository. The context below gives you a starting " + f"point — PR summary, anatomy, and diff patches.\n\n" + f"- START by reading the context to understand WHAT changed.\n" + f"- THEN browse the actual source files to understand HOW the changed code fits into " + f"the broader codebase.\n" + f"- Browse similar files in the same directories to understand existing patterns and " + f"compare the changed code against those patterns.\n" + f"- ADAPT your investigation based on what you discover — if the change deviates from " + f"an established architecture pattern, trace where else that pattern is enforced.\n\n" f"## What NOT to Include\n\n" f"Do NOT generate dimensions about:\n" f"- Whether the logic produces correct results (that's Semantic)\n" @@ -604,14 +711,21 @@ async def meta_systemic(intake: dict, anatomy: dict, depth: str = "standard") -> f"(stateless, injected deps, interface-first)?'\n" f"Bad: 'Check code quality'\n\n" f"Each dimension needs: id, name, review_prompt (complete briefing for the reviewer), " - f"target_files, context_files, and priority (higher = more critical).\n\n" + f"target_files, context_files, and priority (higher = more critical).\n" + f"The review_prompt must include specific file paths and line ranges discovered during " + f"your repository investigation, plus the pattern comparisons the reviewer should validate.\n\n" + f"## Quality Gate\n\n" + f"Do NOT generate dimensions based solely on diff text. Every dimension must be informed " + f"by what you discovered in the actual codebase. If your rationale says 'visible in the " + f"diff' or 'based on the patches', you have not investigated enough.\n\n" f"Depth '{depth}' means: quick=0-1 dimensions, standard=1-2, deep=2-3\n" f"Systemic concerns are LOWER priority than Semantic and Mechanical. " f"If the PR is a focused bugfix with no architectural impact, return ZERO dimensions.\n\n" f"Also provide a rationale explaining your dimension choices and a confidence " f"score (0-1) for how completely your dimensions cover the systemic risk surface.\n\n" - f"{context}", + f"{context_ref}", schema=MetaDimensionResult, + cwd=repo_path or None, ) parsed = result.parsed if result.parsed else MetaDimensionResult(lens="systemic", dimensions=[]) parsed.lens = "systemic" @@ -626,10 +740,49 @@ async def review_dimension( repo_path: str = "", current_depth: int = 0, max_depth: int = 2, + pr_narrative: str = "", + risk_surfaces: list[str] | None = None, + intake_summary: str = "", + diff_patches: dict[str, str] | None = None, + all_dimension_names: list[str] | None = None, ) -> dict: ctx_files = context_files or [] + risks = risk_surfaces or [] can_spawn = current_depth < max_depth + pr_context_section = "" + if pr_narrative or risks: + pr_context_section = ( + "## PR Context\n\n" + f"PR narrative: {pr_narrative or 'not provided'}\n" + f"Risk surfaces: {', '.join(risks) if risks else 'none provided'}\n\n" + ) + + intake_section = f"## Intake Summary\n\n{intake_summary}\n\n" if intake_summary else "" + + dimensions_section = ( + "## Other Review Dimensions\n\n" + f"Other dimensions being reviewed in parallel: {', '.join(all_dimension_names or [])}. " + "Avoid duplicating findings that clearly belong to another dimension.\n\n" + ) + + diff_section = "" + if diff_patches: + relevant_patches = [ + (path, diff_patches[path]) for path in target_files if path in diff_patches and diff_patches[path] + ] + if relevant_patches: + patches_text = "\n\n".join(f"### {path}\n```diff\n{patch}\n```" for path, patch in relevant_patches) + if repo_path and len(patches_text) > 6000: + patch_file = _write_context_file(patches_text, "review_dimension_diff_patches.md", repo_path) + diff_section = ( + "## Diff Patches for Target Files\n\n" + f"Full diff patches written to: {patch_file}\n" + "Read this file for detailed target-file patches.\n\n" + ) + else: + diff_section = f"## Diff Patches for Target Files\n\n{patches_text}\n\n" + spawn_instruction = "" if can_spawn: spawn_instruction = ( @@ -656,14 +809,22 @@ async def review_dimension( f"{review_prompt}\n\n" f"**Target files** (read and analyze these): {', '.join(target_files)}\n" f"**Context files** (reference as needed): {', '.join(ctx_files) if ctx_files else 'none'}\n\n" + f"{pr_context_section}" + f"{intake_section}" + f"{dimensions_section}" + f"{diff_section}" f"## How to Review\n\n" + f"You have access to the entire repository. READ the actual files, don't just analyze " + f"the diff patches. The diff shows you WHAT changed — the repo shows you the FULL " + f"context of WHY it matters.\n\n" f"Do NOT just scan for surface-level issues. Think deeply about what this code DOES:\n\n" f"1. **Read the target files thoroughly.** Understand the control flow, data flow, " f"and error paths. Pay attention to what happens at boundaries — function entry/exit, " f"exception handlers, early returns, decorator effects.\n\n" f"2. **Trace implications.** If a function signature changed, who calls it? " f"If a default value changed, where is it consumed? If an import was added or removed, " - f"what depended on it? Read context files to verify.\n\n" + f"what depended on it? When checking callers/consumers of changed code, actually search " + f"the codebase for references and verify call sites in real files.\n\n" f"3. **Check behavioral equivalence.** If code was refactored or a library was swapped, " f"does the new version handle ALL the same cases? Edge cases matter: empty inputs, " f"None values, concurrent access, error conditions, type mismatches.\n\n" @@ -674,6 +835,8 @@ async def review_dimension( f"that WASN'T changed but SHOULD have been. If a method's signature changed, " f"every caller needs updating. If an enum added a variant, every switch/match " f"needs the new case.\n\n" + f"Before reporting a finding, verify your claim against the actual code. Open the file, " + f"read the function, and confirm the behavior you are claiming exists.\n\n" f"## Severity Calibration\n\n" f"Use the FULL severity range. A well-calibrated review has a MIX:\n\n" f"- **critical**: Runtime crashes, data corruption, security vulnerabilities, " @@ -759,7 +922,12 @@ async def review_dimension( @router.reasoner() -async def cross_ref_phase(findings: list[dict], cross_ref_hints: list[str] | None = None) -> dict: +async def cross_ref_phase( + findings: list[dict], + cross_ref_hints: list[str] | None = None, + cluster_context: str = "", + repo_path: str = "", +) -> dict: import json as _json hints = cross_ref_hints or [] @@ -772,12 +940,21 @@ async def cross_ref_phase(findings: list[dict], cross_ref_hints: list[str] | Non "severity": f.severity, "file_path": f.file_path, "dimension_name": f.dimension_name, - "body": f.body[:200], + "body": f.body, + "evidence": f.evidence, + "suggestion": f.suggestion, } - for f in validated_findings[:20] + for f in validated_findings[:30] ], default=str, ) + + if len(findings_summary) > 10000 and repo_path: + file_path = _write_context_file(findings_summary, "cross_ref_findings.json", repo_path) + findings_ref = f"Full findings written to: {file_path}\nRead this file for complete finding details." + else: + findings_ref = f"Findings:\n{findings_summary}" + result = await router.app.harness( f"You are analyzing the INTERACTIONS between findings from different review dimensions. " f"Individual reviewers examined separate aspects of the PR. Your job is to find where " @@ -796,17 +973,26 @@ async def cross_ref_phase(findings: list[dict], cross_ref_hints: list[str] | Non f"but another part (found by a different reviewer) still uses the old pattern.\n\n" f"5. **Hidden Dependencies**: Findings in separate files that share an implicit " f"contract (same config key, same database table, same API response shape).\n\n" + f"You have repository access. When checking interactions between findings, read the " + f"actual files to verify that the interaction you describe is real.\n\n" f"Only report interactions you can TRACE through specific findings. " f"Do not speculate about interactions that 'might' exist.\n\n" - f"Findings:\n{findings_summary}\n\nReview hints: {hints if hints else 'none'}", + f"{findings_ref}\n\nReview hints: {hints if hints else 'none'}" + + (f"\n\nCluster context:\n{cluster_context}" if cluster_context else ""), schema=_CrossRefResult, + cwd=repo_path or None, ) parsed = result.parsed if result.parsed else _CrossRefResult() return {"interactions": [interaction.model_dump() for interaction in parsed.interactions]} @router.reasoner() -async def adversary_phase(findings: list[dict], ai_generated_confidence: float = 0.0) -> dict: +async def adversary_phase( + findings: list[dict], + ai_generated_confidence: float = 0.0, + pr_context: str = "", + repo_path: str = "", +) -> dict: import json as _json validated_findings = [ReviewFinding.model_validate(finding) for finding in findings] @@ -820,16 +1006,32 @@ async def adversary_phase(findings: list[dict], ai_generated_confidence: float = "title": f.title, "severity": f.severity, "file_path": f.file_path, - "body": f.body[:200], + "dimension_name": f.dimension_name, + "body": f.body, + "evidence": f.evidence, + "suggestion": f.suggestion, "confidence": f.confidence, } for f in validated_findings[:20] ], default=str, ) + + if len(findings_summary) > 10000 and repo_path: + file_path = _write_context_file(findings_summary, "adversary_findings.json", repo_path) + findings_ref = f"Full findings written to: {file_path}\nRead this file for complete finding details." + else: + findings_ref = f"Findings:\n{findings_summary}" + result = await router.app.harness( f"You are the adversarial reviewer — your job is to CHALLENGE every finding and " f"determine whether it's real or a false positive. You are skeptical by default.\n\n" + f"You MUST verify each finding against the actual code. Do NOT trust the reviewer's " + f"claims about what the code does — read the actual files yourself. For each finding, " + f"open the file mentioned and verify the code actually does what the reviewer claims. " + f"If the reviewer says 'function X uses string comparison' but the actual code uses " + f"`errors.Is()`, that finding is a false positive. Your verification must be based on " + f"the CURRENT state of the repository, not on what the reviewer described.\n\n" f"## For Each Finding, Determine:\n\n" f"1. **Is the failure scenario actually reachable?** Trace the call path. " f"Can the described inputs actually reach this code? Are there guards upstream " @@ -854,15 +1056,21 @@ async def adversary_phase(findings: list[dict], ai_generated_confidence: float = f"Skepticism mode: {skepticism}\n" f"AI-generated confidence: {ai_generated_confidence}\n" f"{'(Higher AI confidence → be MORE skeptical of trivial findings)' if ai_generated_confidence > 0.5 else ''}\n\n" - f"Findings:\n{findings_summary}", + + (f"## PR Context\n\n{pr_context}\n\n" if pr_context else "") + + f"{findings_ref}", schema=_AdversaryPhaseResult, + cwd=repo_path or None, ) parsed = result.parsed if result.parsed else _AdversaryPhaseResult() return {"results": [item.model_dump() for item in parsed.results]} @router.reasoner() -async def coverage_gate(anatomy: dict, reviewed_clusters: list[str]) -> dict: +async def coverage_gate( + anatomy: dict, + reviewed_clusters: list[str], + dimension_names_reviewed: list[str] | None = None, +) -> dict: import json as _json anatomy_result = AnatomyResult.model_validate(anatomy) @@ -880,6 +1088,7 @@ async def coverage_gate(anatomy: dict, reviewed_clusters: list[str]) -> dict: { "all_clusters": cluster_payload, "reviewed_clusters": reviewed_clusters, + "dimensions_reviewed": dimension_names_reviewed or [], "risk_surfaces": anatomy_result.risk_surfaces, }, default=str, @@ -887,6 +1096,7 @@ async def coverage_gate(anatomy: dict, reviewed_clusters: list[str]) -> dict: gate = await router.app.ai( f"Determine whether review coverage is complete. " f"Compare reviewed cluster identifiers against all change clusters. " + f"Dimensions already reviewed: {', '.join(dimension_names_reviewed or [])}. " f"If gaps exist, return concise gap_descriptions.\n\n{context}", system="Analyze the coverage state and return the structured result.", schema=CoverageGate, From 37ba57ce9d7d82c0f941c8077367cbb035cc5544 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 09:43:17 +0530 Subject: [PATCH 08/62] =?UTF-8?q?feat:=20hybrid=20evidence=20grounding=20l?= =?UTF-8?q?ayer=20=E2=80=94=20programmatic=20extraction=20+=20verification?= =?UTF-8?q?=20harness?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Add evidence.py: parallel programmatic code extraction (zero-cost context feed) - EvidencePackage model with primary_code, caller_snippets, cross_ref_snippets - Async extraction with semaphore(10), Python 3.11 compatible - Add evidence_verifier harness: independently investigates critical/important findings - Meta-prompted to browse repo, verify claims against actual code - Returns verified/falsified status with revised severity/confidence - Update adversary_phase: receives ground truth evidence + verification notes - Compares reviewer claims vs extracted code before challenging - Update cross_ref_phase: receives import context and caller snippets per finding - Update orchestrator: wire extraction → verification → adversary → cross_ref - Falsified findings demoted before adversary phase - Coverage loop also extracts evidence for gap findings --- src/pr_af/evidence.py | 551 +++++++++++++++++++++++++++++++ src/pr_af/orchestrator.py | 146 +++++++- src/pr_af/reasoners/harnesses.py | 369 ++++++++++++++++----- 3 files changed, 972 insertions(+), 94 deletions(-) create mode 100644 src/pr_af/evidence.py diff --git a/src/pr_af/evidence.py b/src/pr_af/evidence.py new file mode 100644 index 0000000..f42a487 --- /dev/null +++ b/src/pr_af/evidence.py @@ -0,0 +1,551 @@ +from __future__ import annotations + +import asyncio +import os +import re +import subprocess +from collections import OrderedDict + +from pydantic import BaseModel, Field + +from .schemas.pipeline import ReviewFinding + +_SKIP_DIRS = (".git", "node_modules", "__pycache__", ".venv", "vendor", "venv") +_TEXT_EXTENSIONS = { + ".py", + ".js", + ".jsx", + ".ts", + ".tsx", + ".go", + ".rs", + ".java", + ".rb", + ".php", + ".c", + ".h", + ".cpp", + ".hpp", + ".cs", + ".swift", + ".kt", + ".scala", + ".sh", + ".yaml", + ".yml", + ".json", + ".toml", + ".ini", + ".cfg", + ".md", + ".sql", + ".html", + ".css", + ".scss", + ".txt", +} +_COMMON_IDENTIFIER_WORDS = { + "the", + "this", + "that", + "with", + "from", + "when", + "where", + "which", + "there", + "their", + "returns", + "return", + "found", + "check", + "line", + "file", + "code", + "issue", + "error", + "value", + "values", + "class", + "function", + "method", + "should", + "could", + "would", + "into", + "over", + "under", + "each", + "name", + "data", + "test", + "tests", +} + + +class EvidencePackage(BaseModel): + """Ground-truth code evidence for a single finding.""" + + finding_title: str + primary_code: str = "" + caller_snippets: list[str] = Field(default_factory=list) + cross_ref_snippets: list[str] = Field(default_factory=list) + diff_hunk: str = "" + import_context: str = "" + related_code: str = "" + + +async def extract_evidence_for_findings( + findings: list[ReviewFinding], + repo_path: str, + diff_patches: dict[str, str], + blast_radius: list[str] | None = None, +) -> dict[str, EvidencePackage]: + """Extract ground-truth code evidence for each finding. Returns {finding_title: EvidencePackage}.""" + if not findings: + return {} + + semaphore = asyncio.Semaphore(10) + blast_files = blast_radius or [] + + async def _extract_for_finding(finding: ReviewFinding) -> EvidencePackage: + async with semaphore: + normalized_file = _normalize_relative_path(repo_path, finding.file_path) + text_blob = "\n".join([finding.title, finding.body, finding.evidence]) + identifiers = _extract_mentioned_identifiers(text_blob) + + primary_task = asyncio.to_thread( + _read_code_snippet, + repo_path, + normalized_file, + finding.line_start, + 30, + ) + diff_task = asyncio.to_thread( + _extract_diff_hunk, + diff_patches, + normalized_file, + finding.line_start, + ) + import_task = asyncio.to_thread(_build_import_context, repo_path, normalized_file) + mentioned_files_task = asyncio.to_thread( + _extract_mentioned_file_paths, + text_blob, + repo_path, + ) + + caller_tasks = [ + asyncio.to_thread(_find_function_callers, repo_path, ident, normalized_file) + for ident in identifiers + ] + related_task = asyncio.to_thread( + _extract_blast_radius_code, + repo_path, + normalized_file, + identifiers, + blast_files, + ) + + primary_code, diff_hunk, import_context, mentioned_files, related_code = await asyncio.gather( + primary_task, + diff_task, + import_task, + mentioned_files_task, + related_task, + ) + + caller_results: list[list[str]] = [] + if caller_tasks: + caller_results = await asyncio.gather(*caller_tasks) + caller_snippets = _dedupe_strings([snippet for group in caller_results for snippet in group]) + caller_snippets = caller_snippets[:10] + + cross_ref_tasks = [ + asyncio.to_thread(_read_code_snippet, repo_path, path, 1, 30) + for path in mentioned_files[:10] + ] + cross_ref_results: list[str] = [] + if cross_ref_tasks: + cross_ref_results = await asyncio.gather(*cross_ref_tasks) + cross_ref_snippets = _dedupe_strings([item for item in cross_ref_results if item]) + + return EvidencePackage( + finding_title=finding.title, + primary_code=primary_code, + caller_snippets=caller_snippets, + cross_ref_snippets=cross_ref_snippets, + diff_hunk=diff_hunk, + import_context=import_context, + related_code=related_code, + ) + + packages = await asyncio.gather(*[_extract_for_finding(finding) for finding in findings]) + return {package.finding_title: package for package in packages} + + +def _read_code_snippet(repo_path: str, file_path: str, line: int, context_lines: int = 30) -> str: + """Read ±context_lines around the given line from the file.""" + normalized = _normalize_relative_path(repo_path, file_path) + abs_path = os.path.join(repo_path, normalized) + if not _is_text_file(abs_path): + return "" + + try: + with open(abs_path, "r", encoding="utf-8", errors="ignore") as handle: + lines = handle.readlines() + except OSError: + return "" + + if not lines: + return "" + + target_line = max(1, line) + start_idx = max(0, target_line - 1 - context_lines) + end_idx = min(len(lines), target_line + context_lines) + + snippet_lines: list[str] = [] + for idx in range(start_idx, end_idx): + snippet_lines.append(f"{idx + 1}: {lines[idx].rstrip()}") + + return "\n".join(snippet_lines) + + +def _find_function_callers(repo_path: str, function_name: str, exclude_file: str = "") -> list[str]: + """Find call sites for a function across the repository.""" + ident = function_name.strip() + if not ident or not re.fullmatch(r"[A-Za-z_][A-Za-z0-9_]*", ident): + return [] + + pattern = r"\b" + re.escape(ident) + r"\s*\(" + command = [ + "grep", + "-RInE", + pattern, + ".", + "--exclude-dir=.git", + "--exclude-dir=node_modules", + "--exclude-dir=__pycache__", + "--exclude-dir=.venv", + "--exclude-dir=vendor", + "--exclude-dir=venv", + ] + + try: + result = subprocess.run( + command, + cwd=repo_path, + capture_output=True, + text=True, + timeout=10, + check=False, + ) + except (OSError, subprocess.TimeoutExpired): + return [] + + normalized_exclude = _normalize_relative_path(repo_path, exclude_file) + snippets: list[str] = [] + + for raw_line in result.stdout.splitlines(): + parts = raw_line.split(":", 2) + if len(parts) < 3: + continue + rel_path = _normalize_relative_path(repo_path, parts[0]) + if rel_path == normalized_exclude: + continue + if not _is_text_file(os.path.join(repo_path, rel_path)): + continue + try: + line_no = int(parts[1]) + except ValueError: + continue + + snippet = _read_code_snippet(repo_path, rel_path, line_no, context_lines=5) + if snippet: + header = f"{rel_path}:{line_no}" + snippets.append(header + "\n" + snippet) + if len(snippets) >= 10: + break + + return _dedupe_strings(snippets) + + +def _extract_mentioned_identifiers(text: str) -> list[str]: + """Extract likely function/class identifiers mentioned in free-form text.""" + candidates: list[str] = [] + + for match in re.findall(r"`([A-Za-z_][A-Za-z0-9_]*)`", text): + candidates.append(match) + for match in re.findall(r"\b([A-Z][a-zA-Z0-9]{2,})\b", text): + candidates.append(match) + for match in re.findall(r"\b([a-z_][a-z0-9_]{2,})\s*\(", text): + candidates.append(match) + + deduped: OrderedDict[str, None] = OrderedDict() + for raw in candidates: + name = raw.strip("` ") + if len(name) < 3: + continue + if name.lower() in _COMMON_IDENTIFIER_WORDS: + continue + if not re.fullmatch(r"[A-Za-z_][A-Za-z0-9_]*", name): + continue + deduped[name] = None + + return list(deduped.keys()) + + +def _extract_mentioned_file_paths(text: str, repo_path: str) -> list[str]: + """Extract valid repository file paths mentioned in text.""" + candidates: set[str] = set() + + backtick_paths = re.findall(r"`([^`]*?/[^`]*?)`", text) + path_like = re.findall(r"([A-Za-z0-9_./-]+\.[A-Za-z0-9]+)", text) + + for value in backtick_paths + path_like: + if "/" not in value: + continue + if " " in value: + continue + normalized = _normalize_relative_path(repo_path, value) + abs_path = os.path.join(repo_path, normalized) + if os.path.isfile(abs_path): + candidates.add(normalized) + + return sorted(candidates) + + +def _extract_diff_hunk(diff_patches: dict[str, str], file_path: str, line: int | None = None) -> str: + """Extract patch text for a file, optionally narrowed to the matching hunk.""" + normalized = _normalize_patch_key(file_path) + patch = diff_patches.get(normalized, "") + + if not patch: + for key, value in diff_patches.items(): + if _normalize_patch_key(key) == normalized: + patch = value + break + + if not patch: + return "" + + patch_lines = patch.splitlines() + if line is None: + return "\n".join(patch_lines[:200]) + + hunk_lines = _extract_hunk_for_line(patch_lines, line) + if not hunk_lines: + return "\n".join(patch_lines[:200]) + return "\n".join(hunk_lines[:200]) + + +def _build_import_context(repo_path: str, file_path: str) -> str: + """Build import context as imports in file + files importing this module.""" + normalized = _normalize_relative_path(repo_path, file_path) + abs_path = os.path.join(repo_path, normalized) + + imports: list[str] = [] + if _is_text_file(abs_path): + try: + with open(abs_path, "r", encoding="utf-8", errors="ignore") as handle: + for raw_line in handle: + stripped = raw_line.strip() + if stripped.startswith("import ") or stripped.startswith("from "): + imports.append(stripped) + except OSError: + imports = [] + + module_name = _path_to_module(normalized) + imported_by: list[str] = [] + + if module_name: + regex = r"^\s*(?:from\s+" + re.escape(module_name) + r"\b|import\s+" + re.escape(module_name) + r"\b)" + command = [ + "grep", + "-RIlE", + regex, + ".", + "--include=*.py", + "--exclude-dir=.git", + "--exclude-dir=node_modules", + "--exclude-dir=__pycache__", + "--exclude-dir=.venv", + "--exclude-dir=vendor", + "--exclude-dir=venv", + ] + try: + result = subprocess.run( + command, + cwd=repo_path, + capture_output=True, + text=True, + timeout=10, + check=False, + ) + for raw_path in result.stdout.splitlines(): + rel = _normalize_relative_path(repo_path, raw_path) + if rel != normalized: + imported_by.append(rel) + except (OSError, subprocess.TimeoutExpired): + imported_by = [] + + imports_list = ", ".join(imports[:30]) if imports else "none" + imported_by_list = ", ".join(sorted(set(imported_by))[:30]) if imported_by else "none" + return "IMPORTS: " + imports_list + "\nIMPORTED BY: " + imported_by_list + + +def _extract_blast_radius_code( + repo_path: str, + file_path: str, + identifiers: list[str], + blast_radius: list[str], +) -> str: + """Extract snippets from non-PR blast radius files that reference finding identifiers.""" + if not identifiers or not blast_radius: + return "" + + normalized_target = _normalize_relative_path(repo_path, file_path) + snippets: list[str] = [] + + for candidate in blast_radius: + normalized = _normalize_relative_path(repo_path, candidate) + if normalized == normalized_target: + continue + abs_path = os.path.join(repo_path, normalized) + if not _is_text_file(abs_path): + continue + + try: + with open(abs_path, "r", encoding="utf-8", errors="ignore") as handle: + lines = handle.readlines() + except OSError: + continue + + if not lines: + continue + + for ident in identifiers: + pattern = re.compile(r"\b" + re.escape(ident) + r"\b") + match_idx = next((i for i, value in enumerate(lines) if pattern.search(value)), None) + if match_idx is None: + continue + snippet = _format_lines_with_numbers(lines, match_idx + 1, 10) + if snippet: + snippets.append(normalized + ":" + str(match_idx + 1) + "\n" + snippet) + break + + if len(snippets) >= 5: + break + + return "\n\n".join(snippets[:5]) + + +def _normalize_relative_path(repo_path: str, file_path: str) -> str: + path = (file_path or "").strip().replace("\\", "/") + if not path: + return "" + + path = path.replace("/workspaces/", "", 1) if path.startswith("/workspaces/") else path + if path.startswith("./"): + path = path[2:] + + repo_abs = os.path.abspath(repo_path) if repo_path else "" + path_abs = os.path.abspath(path) if os.path.isabs(path) else "" + + if repo_abs and path_abs.startswith(repo_abs): + path = os.path.relpath(path_abs, repo_abs) + elif path.startswith("/"): + path = path.lstrip("/") + + repo_name = os.path.basename(repo_abs) + marker = repo_name + "/" + if marker and marker in path: + marker_index = path.find(marker) + if marker_index >= 0: + path = path[marker_index + len(marker) :] + + return os.path.normpath(path).replace("\\", "/") + + +def _normalize_patch_key(file_path: str) -> str: + normalized = file_path.replace("\\", "/").strip() + for prefix in ("a/", "b/"): + if normalized.startswith(prefix): + normalized = normalized[len(prefix) :] + return normalized.lstrip("/") + + +def _extract_hunk_for_line(patch_lines: list[str], line: int) -> list[str]: + current_hunk: list[str] = [] + current_start = 0 + current_count = 0 + + for raw in patch_lines: + if raw.startswith("@@"): + if current_hunk and current_count > 0: + if current_start <= line < current_start + current_count: + return current_hunk + current_hunk = [raw] + match = re.match(r"@@ -\d+(?:,\d+)? \+(\d+)(?:,(\d+))? @@", raw) + if match: + current_start = int(match.group(1)) + current_count = int(match.group(2) or "1") + else: + current_start = 0 + current_count = 0 + elif current_hunk: + current_hunk.append(raw) + + if current_hunk and current_count > 0: + if current_start <= line < current_start + current_count: + return current_hunk + return [] + + +def _path_to_module(file_path: str) -> str: + if not file_path.endswith(".py"): + return "" + module = file_path.replace("/", ".") + if module.endswith(".__init__.py"): + module = module[: -len(".__init__.py")] + elif module.endswith(".py"): + module = module[: -len(".py")] + return module + + +def _format_lines_with_numbers(lines: list[str], target_line: int, context_lines: int) -> str: + if not lines: + return "" + + start_idx = max(0, target_line - 1 - context_lines) + end_idx = min(len(lines), target_line + context_lines) + output: list[str] = [] + for idx in range(start_idx, end_idx): + output.append(f"{idx + 1}: {lines[idx].rstrip()}") + return "\n".join(output) + + +def _dedupe_strings(values: list[str]) -> list[str]: + seen: OrderedDict[str, None] = OrderedDict() + for value in values: + if value: + seen[value] = None + return list(seen.keys()) + + +def _is_text_file(path: str) -> bool: + if not path or not os.path.isfile(path): + return False + + ext = os.path.splitext(path)[1].lower() + if ext in _TEXT_EXTENSIONS: + return True + if ext: + return False + + # Extension-less files: quickly scan for null bytes. + try: + with open(path, "rb") as handle: + sample = handle.read(1024) + return b"\x00" not in sample + except OSError: + return False diff --git a/src/pr_af/orchestrator.py b/src/pr_af/orchestrator.py index bccb445..40b0153 100644 --- a/src/pr_af/orchestrator.py +++ b/src/pr_af/orchestrator.py @@ -20,12 +20,14 @@ from .config import AUTO_DEPTH_THRESHOLDS, DEPTH_PROFILES, ReviewConfig from .diff_engine import parse_unified_diff +from .evidence import EvidencePackage, extract_evidence_for_findings from .github.client import GitHubClient from .reasoners.harnesses import ( adversary_phase, anatomy_phase, coverage_gate, cross_ref_phase, + evidence_verifier, intake_phase, meta_mechanical, meta_semantic, @@ -331,13 +333,95 @@ def _dedup_cross_meta(self, dimensions: list[ReviewDimension]) -> list[ReviewDim return deduped - async def _run_parallel_adversary(self, findings: list[ReviewFinding]) -> list[AdversaryResult]: + async def _run_evidence_verification( + self, + findings: list[ReviewFinding], + evidence_map: dict[str, EvidencePackage], + ) -> tuple[list[ReviewFinding], dict[str, dict]]: + high_priority = [f for f in findings if f.severity in ("critical", "important")] + low_priority = [f for f in findings if f.severity not in ("critical", "important")] + + if not high_priority: + return findings, {} + + print( + f"[PR-AF] Evidence Verification: verifying {len(high_priority)} " + f"critical/important findings (skipping {len(low_priority)} lower-severity)", + flush=True, + ) + + ev_packages = {f.title: evidence_map[f.title].model_dump() for f in high_priority if f.title in evidence_map} + + verifier_raw = await evidence_verifier( + findings=[f.model_dump() for f in high_priority], + evidence_packages=ev_packages if ev_packages else None, + pr_context=self._build_pr_context_string(), + repo_path=self.input.repo_path or "", + ) + self.agent_invocations += 1 + self._register_cost("adversary", self._extract_cost(verifier_raw)) + + verification_map: dict[str, dict] = {} + raw_verified = verifier_raw.get("verified_findings", []) if isinstance(verifier_raw, dict) else [] + + for vf in raw_verified: + if not isinstance(vf, dict): + continue + title = vf.get("title", "") + if not title: + continue + verification_map[title] = vf + + updated_findings: list[ReviewFinding] = [] + falsified_count = 0 + for f in findings: + vf = verification_map.get(f.title) + if vf and not vf.get("verified", True): + falsified_count += 1 + updated = f.model_copy( + update={ + "confidence": max(0.1, vf.get("revised_confidence", 0.3)), + "severity": vf.get("revised_severity", "suggestion") or "suggestion", + } + ) + updated_findings.append(updated) + elif vf: + revised_conf = vf.get("revised_confidence") + updates: dict = {} + if revised_conf is not None and isinstance(revised_conf, (int, float)): + updates["confidence"] = float(revised_conf) + revised_sev = vf.get("revised_severity") + if revised_sev and revised_sev in ("critical", "important", "suggestion", "nitpick"): + updates["severity"] = revised_sev + if updates: + updated_findings.append(f.model_copy(update=updates)) + else: + updated_findings.append(f) + else: + updated_findings.append(f) + + print( + f"[PR-AF] Evidence Verification: {falsified_count} findings falsified, " + f"{len(verification_map) - falsified_count} confirmed/adjusted", + flush=True, + ) + + return updated_findings, verification_map + + async def _run_parallel_adversary( + self, + findings: list[ReviewFinding], + evidence_map: dict[str, EvidencePackage] | None = None, + verification_map: dict[str, dict] | None = None, + ) -> list[AdversaryResult]: if not findings or self._budget_or_timeout_exhausted("adversary"): return [] batch_size = self.meta_config.adversary_batch_size max_batches = self.meta_config.max_adversary_batches ai_confidence = self.intake_result.ai_generated if self.intake_result else 0.0 + ev_map = evidence_map or {} + ver_map = verification_map or {} batches: list[list[ReviewFinding]] = [] for i in range(0, len(findings), batch_size): @@ -348,11 +432,27 @@ async def _run_parallel_adversary(self, findings: list[ReviewFinding]) -> list[A async def run_batch(batch: list[ReviewFinding]) -> list[AdversaryResult]: if self._budget_or_timeout_exhausted("adversary"): return [] + batch_evidence: dict[str, dict] = {} + for f in batch: + ev_entry: dict = {} + if f.title in ev_map: + ev_entry = ev_map[f.title].model_dump() + vf = ver_map.get(f.title) + if vf: + ev_entry["verification"] = { + "verified": vf.get("verified", True), + "actual_behavior": vf.get("actual_behavior", ""), + "verification_notes": vf.get("verification_notes", ""), + } + if ev_entry: + batch_evidence[f.title] = ev_entry + adversary_raw = await adversary_phase( findings=[f.model_dump() for f in batch], ai_generated_confidence=ai_confidence, pr_context=self._build_pr_context_string(), repo_path=self.input.repo_path or "", + evidence_packages=batch_evidence if batch_evidence else None, ) self.agent_invocations += 1 self._register_cost("adversary", self._extract_cost(adversary_raw)) @@ -456,9 +556,38 @@ async def _run_review_layer( break all_findings.extend(batch) + evidence_map: dict[str, EvidencePackage] = {} + if all_findings and self.input.repo_path: + print( + f"[PR-AF] Evidence Extraction: pulling code for {len(all_findings)} findings", + flush=True, + ) + evidence_map = await extract_evidence_for_findings( + findings=all_findings, + repo_path=self.input.repo_path, + diff_patches=self._build_file_patches(), + blast_radius=self.anatomy_result.blast_radius if self.anatomy_result else None, + ) + print( + f"[PR-AF] Evidence Extraction: {len(evidence_map)} packages extracted", + flush=True, + ) + + verification_map: dict[str, dict] = {} + high_priority = [f for f in all_findings if f.severity in ("critical", "important")] + if high_priority and evidence_map and not self._budget_or_timeout_exhausted("adversary"): + all_findings, verification_map = await self._run_evidence_verification( + all_findings, + evidence_map, + ) + adversary_results: list[AdversaryResult] = [] if all_findings and not self._budget_or_timeout_exhausted("adversary"): - adversary_results = await self._run_parallel_adversary(all_findings) + adversary_results = await self._run_parallel_adversary( + all_findings, + evidence_map, + verification_map, + ) challenged_titles = {ar.finding_title for ar in adversary_results if ar.verdict == "challenged"} confirmed_findings = [f for f in all_findings if f.title not in challenged_titles] @@ -470,6 +599,7 @@ async def _run_review_layer( cross_ref_hints=plan.cross_ref_hints, cluster_context=self._build_cluster_context_string(), repo_path=self.input.repo_path or "", + evidence_map={k: v.model_dump() for k, v in evidence_map.items()} if evidence_map else None, ) self.agent_invocations += 1 self._register_cost("cross_ref", self._extract_cost(cross_raw)) @@ -526,8 +656,17 @@ async def _run_coverage_loop( break findings.extend(batch) + gap_evidence: dict[str, EvidencePackage] = {} + if findings and self.input.repo_path: + gap_evidence = await extract_evidence_for_findings( + findings=findings, + repo_path=self.input.repo_path, + diff_patches=self._build_file_patches(), + blast_radius=self.anatomy_result.blast_radius if self.anatomy_result else None, + ) + if findings and not self._budget_or_timeout_exhausted("adversary"): - adversary_results = await self._run_parallel_adversary(findings) + adversary_results = await self._run_parallel_adversary(findings, gap_evidence) challenged_titles = {ar.finding_title for ar in adversary_results if ar.verdict == "challenged"} confirmed_findings = [f for f in findings if f.title not in challenged_titles] @@ -538,6 +677,7 @@ async def _run_coverage_loop( cross_ref_hints=plan.cross_ref_hints, cluster_context=self._build_cluster_context_string(), repo_path=self.input.repo_path or "", + evidence_map={k: v.model_dump() for k, v in gap_evidence.items()} if gap_evidence else None, ) self.agent_invocations += 1 self._register_cost("cross_ref", self._extract_cost(cross_raw)) diff --git a/src/pr_af/reasoners/harnesses.py b/src/pr_af/reasoners/harnesses.py index 1141cd3..a413351 100644 --- a/src/pr_af/reasoners/harnesses.py +++ b/src/pr_af/reasoners/harnesses.py @@ -54,6 +54,19 @@ class _AdversaryPhaseResult(BaseModel): results: list[AdversaryResult] = Field(default_factory=list) +class _VerifiedFinding(BaseModel): + title: str = "" + verified: bool = True + actual_behavior: str = "" + revised_severity: str = "" + revised_confidence: float = 0.5 + verification_notes: str = "" + + +class _VerificationResult(BaseModel): + verified_findings: list[_VerifiedFinding] = Field(default_factory=list) + + def _auto_depth(complexity: str) -> str: mapping = { "trivial": "quick", @@ -927,58 +940,78 @@ async def cross_ref_phase( cross_ref_hints: list[str] | None = None, cluster_context: str = "", repo_path: str = "", + evidence_map: dict[str, dict] | None = None, ) -> dict: import json as _json hints = cross_ref_hints or [] + ev_map = evidence_map or {} validated_findings = [ReviewFinding.model_validate(finding) for finding in findings] - findings_summary = _json.dumps( - [ - { - "title": f.title, - "severity": f.severity, - "file_path": f.file_path, - "dimension_name": f.dimension_name, - "body": f.body, - "evidence": f.evidence, - "suggestion": f.suggestion, - } - for f in validated_findings[:30] - ], - default=str, - ) + findings_with_context: list[dict] = [] + for f in validated_findings[:30]: + entry: dict = { + "title": f.title, + "severity": f.severity, + "file_path": f.file_path, + "dimension_name": f.dimension_name, + "body": f.body, + "evidence": f.evidence, + "suggestion": f.suggestion, + } + ev = ev_map.get(f.title, {}) + if ev: + entry["ground_truth_imports"] = ev.get("import_context", "") + entry["ground_truth_callers"] = ev.get("caller_snippets", [])[:3] + entry["ground_truth_related"] = ev.get("related_code", "")[:1500] + findings_with_context.append(entry) + + findings_summary = _json.dumps(findings_with_context, default=str) if len(findings_summary) > 10000 and repo_path: file_path = _write_context_file(findings_summary, "cross_ref_findings.json", repo_path) - findings_ref = f"Full findings written to: {file_path}\nRead this file for complete finding details." + findings_ref = ( + "Full findings with evidence written to: " + file_path + "\nRead this file for complete finding details." + ) else: - findings_ref = f"Findings:\n{findings_summary}" + findings_ref = "Findings:\n" + findings_summary + + evidence_section = "" + if ev_map: + evidence_section = ( + "## Ground-Truth Evidence\n\n" + "Each finding includes `ground_truth_imports` (what the file imports and what " + "imports it), `ground_truth_callers` (actual call sites), and `ground_truth_related` " + "(code from non-PR files). Use these to verify cross-file interactions are REAL, " + "not speculated. If two findings share callers or import chains, that is strong " + "evidence of a real interaction.\n\n" + ) result = await router.app.harness( - f"You are analyzing the INTERACTIONS between findings from different review dimensions. " - f"Individual reviewers examined separate aspects of the PR. Your job is to find where " - f"their findings COMBINE to create risks that neither reviewer saw alone.\n\n" - f"## What to Look For\n\n" - f"1. **Compound Failures**: Finding A says 'function X changed its error type' and " - f"Finding B says 'caller Y catches the old error type' → together, errors are silently " - f"swallowed.\n\n" - f"2. **Contradictory Assumptions**: One reviewer assumes a lock is held, another's " - f"finding shows the lock was removed. One assumes a value is non-null, another's " - f"finding shows it can be null now.\n\n" - f"3. **Cascade Effects**: A 'suggestion'-level finding in module A becomes 'critical' " - f"when combined with an 'important' finding in module B, because together they create " - f"a data corruption path.\n\n" - f"4. **Consistency Gaps**: One part of the codebase was updated to a new pattern, " - f"but another part (found by a different reviewer) still uses the old pattern.\n\n" - f"5. **Hidden Dependencies**: Findings in separate files that share an implicit " - f"contract (same config key, same database table, same API response shape).\n\n" - f"You have repository access. When checking interactions between findings, read the " - f"actual files to verify that the interaction you describe is real.\n\n" - f"Only report interactions you can TRACE through specific findings. " - f"Do not speculate about interactions that 'might' exist.\n\n" - f"{findings_ref}\n\nReview hints: {hints if hints else 'none'}" - + (f"\n\nCluster context:\n{cluster_context}" if cluster_context else ""), + "You are analyzing the INTERACTIONS between findings from different review dimensions. " + "Individual reviewers examined separate aspects of the PR. Your job is to find where " + "their findings COMBINE to create risks that neither reviewer saw alone.\n\n" + + evidence_section + + "## What to Look For\n\n" + "1. **Compound Failures**: Finding A says 'function X changed its error type' and " + "Finding B says 'caller Y catches the old error type'. Check the ground_truth_callers " + "to verify both findings reference the same call path.\n\n" + "2. **Contradictory Assumptions**: One reviewer assumes a lock is held, another's " + "finding shows the lock was removed. Check ground_truth_imports to see if both " + "files interact through shared modules.\n\n" + "3. **Cascade Effects**: A 'suggestion'-level finding in module A becomes 'critical' " + "when combined with an 'important' finding in module B. Use ground_truth_related " + "to trace the cascade path through actual code.\n\n" + "4. **Consistency Gaps**: One part was updated to a new pattern, another still uses " + "the old. The ground_truth_imports show if these files are in the same dependency chain.\n\n" + "5. **Hidden Dependencies**: Findings in separate files sharing implicit contracts. " + "Check ground_truth_callers for overlapping call sites.\n\n" + "You have repository access. When checking interactions, read actual files to verify. " + "Only report interactions you can TRACE through specific findings and code.\n\n" + + findings_ref + + "\n\nReview hints: " + + str(hints if hints else "none") + + ("\n\nCluster context:\n" + cluster_context if cluster_context else ""), schema=_CrossRefResult, cwd=repo_path or None, ) @@ -986,12 +1019,119 @@ async def cross_ref_phase( return {"interactions": [interaction.model_dump() for interaction in parsed.interactions]} +@router.reasoner() +async def evidence_verifier( + findings: list[dict], + evidence_packages: dict[str, dict] | None = None, + pr_context: str = "", + repo_path: str = "", +) -> dict: + import json as _json + + validated_findings = [ReviewFinding.model_validate(f) for f in findings] + ev_map = evidence_packages or {} + + findings_payload: list[dict] = [] + for f in validated_findings: + entry: dict = { + "title": f.title, + "severity": f.severity, + "file_path": f.file_path, + "line_start": f.line_start, + "dimension_name": f.dimension_name, + "body": f.body, + "evidence": f.evidence, + "confidence": f.confidence, + } + ev = ev_map.get(f.title, {}) + if ev: + entry["extracted_code"] = { + "primary_code": ev.get("primary_code", "")[:4000], + "caller_snippets": ev.get("caller_snippets", [])[:5], + "diff_hunk": ev.get("diff_hunk", "")[:2000], + "import_context": ev.get("import_context", ""), + "related_code": ev.get("related_code", "")[:2000], + "cross_ref_snippets": ev.get("cross_ref_snippets", [])[:3], + } + findings_payload.append(entry) + + findings_text = _json.dumps(findings_payload, default=str) + + if len(findings_text) > 12000 and repo_path: + file_path = _write_context_file(findings_text, "verification_findings.json", repo_path) + findings_ref = ( + "Findings with extracted code written to: " + file_path + "\n" + "Read this file for the full list of findings and their extracted code context." + ) + else: + findings_ref = findings_text + + result = await router.app.harness( + "You are a senior engineer performing independent verification of code review findings " + "before they reach the adversarial challenge phase. Each finding below was produced by " + "a reviewer who read the repository, and each includes `extracted_code` — real source " + "code pulled programmatically from the repo around the finding location.\n\n" + "## Your Role\n\n" + "You are not the original reviewer, and you are not the adversary. You are an " + "independent investigator. Your job is to determine what the code ACTUALLY does " + "at each finding location, and whether the reviewer's claim about the code's " + "behavior is factually accurate.\n\n" + "## How to Investigate\n\n" + "For each finding, you have two sources of truth:\n\n" + "1. **`extracted_code`** — actual source code around the finding location, call sites " + "of mentioned functions, the diff patch, and import/dependency context. This was " + "extracted programmatically, so it is what the code really says.\n\n" + "2. **The repository itself** — you have full access. Use it to trace connections " + "the extracted code doesn't cover: follow function calls across modules, check how " + "values flow through layers, understand the broader architecture around the finding.\n\n" + "Start with the extracted code to understand the local picture. Then browse the repo " + "to understand the broader context — how does this code connect to the rest of the " + "system? What are the upstream callers and downstream consumers? What are the implicit " + "contracts this code participates in?\n\n" + "## What to Determine\n\n" + "For each finding, answer these questions through investigation:\n\n" + "- **Does the code actually behave as the reviewer claims?** Read the `extracted_code` " + "and compare it against the reviewer's description in `body`. If the reviewer says " + "'this function uses string comparison' but the extracted code shows `errors.Is()`, " + "the claim is factually wrong.\n\n" + "- **Is the described scenario actually reachable?** Check `caller_snippets` and " + "browse the repo for call paths. Can the problematic state the reviewer describes " + "actually occur in practice? Are there guards, validators, or type constraints " + "upstream that prevent it?\n\n" + "- **What does the broader context reveal?** The `import_context` and `related_code` " + "show how this file connects to the rest of the codebase. Sometimes a finding looks " + "valid in isolation but is prevented by code in another module. Sometimes it looks " + "minor in isolation but is amplified by how the code is used elsewhere.\n\n" + "- **Is the severity proportionate?** Based on what you found, does the severity " + "match the actual impact? A 'critical' finding should have a concrete, traceable " + "failure path. An 'important' finding should have a realistic scenario.\n\n" + "## Output\n\n" + "For each finding, return:\n" + "- `title`: the finding's title (must match exactly)\n" + "- `verified`: true if the code behavior matches the reviewer's claim, false if it doesn't\n" + "- `actual_behavior`: what the code ACTUALLY does at this location (brief, factual)\n" + "- `revised_severity`: your assessment of the correct severity (critical/important/suggestion/nitpick)\n" + "- `revised_confidence`: your confidence in the finding's validity (0.0-1.0)\n" + "- `verification_notes`: what you found during investigation that the downstream " + "adversary should know — especially any discrepancies between the claim and reality, " + "or important context from the broader codebase\n\n" + + ("## PR Context\n\n" + pr_context + "\n\n" if pr_context else "") + + "## Findings to Verify\n\n" + + findings_ref, + schema=_VerificationResult, + cwd=repo_path or None, + ) + parsed = result.parsed if result.parsed else _VerificationResult() + return {"verified_findings": [vf.model_dump() for vf in parsed.verified_findings]} + + @router.reasoner() async def adversary_phase( findings: list[dict], ai_generated_confidence: float = 0.0, pr_context: str = "", repo_path: str = "", + evidence_packages: dict[str, dict] | None = None, ) -> dict: import json as _json @@ -1000,64 +1140,111 @@ async def adversary_phase( if ai_generated_confidence > 0.5: skepticism = "high" - findings_summary = _json.dumps( - [ - { - "title": f.title, - "severity": f.severity, - "file_path": f.file_path, - "dimension_name": f.dimension_name, - "body": f.body, - "evidence": f.evidence, - "suggestion": f.suggestion, - "confidence": f.confidence, + ev_map = evidence_packages or {} + + findings_with_evidence: list[dict] = [] + for f in validated_findings[:20]: + entry: dict = { + "title": f.title, + "severity": f.severity, + "file_path": f.file_path, + "dimension_name": f.dimension_name, + "body": f.body, + "evidence": f.evidence, + "suggestion": f.suggestion, + "confidence": f.confidence, + } + ev = ev_map.get(f.title, {}) + if ev: + entry["ground_truth"] = { + "primary_code": ev.get("primary_code", "")[:3000], + "caller_snippets": ev.get("caller_snippets", [])[:5], + "diff_hunk": ev.get("diff_hunk", "")[:2000], + "import_context": ev.get("import_context", ""), + "related_code": ev.get("related_code", "")[:2000], } - for f in validated_findings[:20] - ], - default=str, - ) + findings_with_evidence.append(entry) + + findings_summary = _json.dumps(findings_with_evidence, default=str) if len(findings_summary) > 10000 and repo_path: file_path = _write_context_file(findings_summary, "adversary_findings.json", repo_path) - findings_ref = f"Full findings written to: {file_path}\nRead this file for complete finding details." + findings_ref = ( + "Full findings with ground-truth evidence written to: " + file_path + "\n" + "Read this file for complete finding details and code evidence." + ) + else: + findings_ref = "Findings with ground-truth evidence:\n" + findings_summary + + has_evidence = bool(ev_map) + + evidence_instruction = "" + if has_evidence: + evidence_instruction = ( + "## Ground-Truth Evidence (CRITICAL)\n\n" + "Each finding below includes a `ground_truth` section containing ACTUAL CODE " + "extracted programmatically from the repository. This is the REAL code — not the " + "reviewer's description of it. Use this as your primary verification source:\n\n" + "- `primary_code`: The actual source code around the finding location (with line numbers)\n" + "- `caller_snippets`: Real call sites of functions mentioned in the finding\n" + "- `diff_hunk`: The actual diff patch for this file\n" + "- `import_context`: What this file imports and what imports it\n" + "- `related_code`: Code from non-PR files that interact with the finding\n\n" + "**VERIFICATION PROTOCOL**: For each finding:\n" + "1. Read the reviewer's CLAIM about what the code does\n" + "2. Read the `ground_truth.primary_code` to see what the code ACTUALLY does\n" + "3. If the claim contradicts the ground truth → CHALLENGE as false positive\n" + "4. If the claim matches the ground truth → check caller_snippets to verify " + "the failure scenario is reachable\n" + "5. You may ALSO browse the repo for additional verification, but the ground " + "truth should catch most false positives\n\n" + ) else: - findings_ref = f"Findings:\n{findings_summary}" + evidence_instruction = ( + "## Verification Protocol\n\n" + "No ground-truth evidence was extracted for these findings. You MUST read the " + "actual repository files yourself to verify each finding. Open the file mentioned, " + "read the function, and confirm the behavior the reviewer claims exists.\n\n" + ) result = await router.app.harness( - f"You are the adversarial reviewer — your job is to CHALLENGE every finding and " - f"determine whether it's real or a false positive. You are skeptical by default.\n\n" - f"You MUST verify each finding against the actual code. Do NOT trust the reviewer's " - f"claims about what the code does — read the actual files yourself. For each finding, " - f"open the file mentioned and verify the code actually does what the reviewer claims. " - f"If the reviewer says 'function X uses string comparison' but the actual code uses " - f"`errors.Is()`, that finding is a false positive. Your verification must be based on " - f"the CURRENT state of the repository, not on what the reviewer described.\n\n" - f"## For Each Finding, Determine:\n\n" - f"1. **Is the failure scenario actually reachable?** Trace the call path. " - f"Can the described inputs actually reach this code? Are there guards upstream " - f"that prevent the bad state?\n\n" - f"2. **Is the severity correct?** A 'critical' finding must have a concrete crash " - f"or corruption scenario. If it's speculative ('could potentially cause issues'), " - f"it's not critical. Downgrade or challenge it.\n\n" - f"3. **Is the evidence accurate?** Does the code actually do what the reviewer claims? " - f"Check: did the reviewer misread a decorator's behavior? Did they assume a function " - f"is called directly when it's actually dispatched through a framework?\n\n" - f"4. **Is there a hidden trap the reviewer MISSED?** Sometimes the reviewer found " - f"a real issue but missed the WORSE version of it, or missed that the fix they " - f"suggested would break something else.\n\n" - f"## Verdicts\n\n" - f"- **confirmed**: The finding is real. The evidence checks out. The severity is " - f"appropriate. Briefly explain why you're convinced.\n" - f"- **challenged**: The finding is a false positive, the severity is wrong, or the " - f"evidence doesn't hold up. Explain specifically what's wrong with the reviewer's " - f"reasoning.\n" - f"- **escalated**: The reviewer found something real but UNDERESTIMATED the severity " - f"or scope. Explain what they missed.\n\n" - f"Skepticism mode: {skepticism}\n" - f"AI-generated confidence: {ai_generated_confidence}\n" - f"{'(Higher AI confidence → be MORE skeptical of trivial findings)' if ai_generated_confidence > 0.5 else ''}\n\n" - + (f"## PR Context\n\n{pr_context}\n\n" if pr_context else "") - + f"{findings_ref}", + "You are the adversarial reviewer. Your job is to CHALLENGE every finding and " + "determine whether it is real or a false positive. You are skeptical by default.\n\n" + + evidence_instruction + + "## For Each Finding, Determine:\n\n" + "1. **Does the ground truth match the claim?** Compare the reviewer's description " + "against the actual code in `ground_truth.primary_code`. If the reviewer says " + "'function X uses string comparison' but the actual code uses `errors.Is()`, " + "that is a false positive — CHALLENGE it immediately.\n\n" + "2. **Is the failure scenario reachable?** Check `ground_truth.caller_snippets` " + "to see if the described call path actually exists. Are there guards upstream " + "that prevent the bad state? Does the calling code handle the condition?\n\n" + "3. **Is the severity correct?** A 'critical' finding must have a concrete crash " + "or corruption scenario traceable through the ground truth. If the primary code " + "shows the issue is handled, downgrade or challenge.\n\n" + "4. **Cross-file interactions**: Check `ground_truth.related_code` and " + "`ground_truth.import_context` to understand the broader context. A finding " + "might look valid in isolation but be prevented by code in another file.\n\n" + "5. **Hidden traps**: Did the reviewer find a real issue but miss a WORSE " + "version visible in the ground truth code?\n\n" + "## Verdicts\n\n" + "- **confirmed**: The ground truth supports the finding. The claim matches the " + "actual code. The failure scenario is reachable.\n" + "- **challenged**: The ground truth contradicts the finding. The actual code " + "does NOT do what the reviewer claims, OR upstream guards prevent the failure.\n" + "- **escalated**: The ground truth reveals the issue is WORSE than the reviewer " + "described.\n\n" + "Skepticism mode: " + skepticism + "\n" + "AI-generated confidence: " + + str(ai_generated_confidence) + + "\n" + + ( + "(Higher AI confidence: be MORE skeptical of trivial findings)\n\n" + if ai_generated_confidence > 0.5 + else "\n" + ) + + ("## PR Context\n\n" + pr_context + "\n\n" if pr_context else "") + + findings_ref, schema=_AdversaryPhaseResult, cwd=repo_path or None, ) From 5779be04c4697737fc3e20b4e1d19dff4dea9e0d Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 10:47:34 +0530 Subject: [PATCH 09/62] benchmark: add evidence grounding layer result for PR #254 - 25 findings, 0% FP rate (down from 10% in Sonnet baseline) - 4 findings falsified by verification harness before adversary phase - 17 true positives, 5 valid suggestions, 2 duplicates - errors.Is finding confirmed as TRUE POSITIVE (line 5186 uses string comparison) - ~43min runtime (+7% overhead vs enriched-only run) --- .../pr-af-result-kimi-evidence-grounding.json | 1283 +++++++++++++++++ 1 file changed, 1283 insertions(+) create mode 100644 benchmark/agentfield-254/pr-af-result-kimi-evidence-grounding.json diff --git a/benchmark/agentfield-254/pr-af-result-kimi-evidence-grounding.json b/benchmark/agentfield-254/pr-af-result-kimi-evidence-grounding.json new file mode 100644 index 0000000..8920eb2 --- /dev/null +++ b/benchmark/agentfield-254/pr-af-result-kimi-evidence-grounding.json @@ -0,0 +1,1283 @@ +{ + "findings": [ + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `MockStorageProvider` in `config_test.go` has obsolete method signatures for `SetConfig` and `GetConfig` that do not match the updated `StorageProvider` interface. The interface was changed in `storage.go` to use `string` parameters and `*ConfigEntry` return types, plus added `ListConfigs` and `DeleteConfig` methods. The mock still uses the old `interface{}` signatures and lacks the new methods entirely.\n\n**Interface signature (storage.go:132-136):**\n```go\nSetConfig(ctx context.Context, key string, value string, updatedBy string) error\nGetConfig(ctx context.Context, key string) (*ConfigEntry, error)\nListConfigs(ctx context.Context) ([]*ConfigEntry, error)\nDeleteConfig(ctx context.Context, key string) error\n```\n\n**Mock signature (config_test.go:289-297):**\n```go\nSetConfig(ctx context.Context, key string, value interface{}) error // WRONG: missing updatedBy, wrong type\nGetConfig(ctx context.Context, key string) (interface{}, error) // WRONG: wrong return type\n// ListConfigs - MISSING entirely\n// DeleteConfig - MISSING entirely\n```\n\nThis is a **compile-breaking issue**. Go's strict interface satisfaction rules mean `MockStorageProvider` no longer implements `StorageProvider`, causing build failures.", + "confidence": 1, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "storage-provider-interface-mismatch", + "dimension_name": "StorageProvider Interface Implementation Verification", + "evidence": "Step 1: StorageProvider interface defines SetConfig with signature `(ctx context.Context, key string, value string, updatedBy string) error` at storage.go:133\nStep 2: MockStorageProvider defines SetConfig with signature `(ctx context.Context, key string, value interface{}) error` at config_test.go:289\nStep 3: Parameter mismatch: interface expects 4 parameters (ctx, key, value, updatedBy) but mock has 3 parameters (ctx, key, value)\nStep 4: Type mismatch: interface expects `value string` but mock accepts `value interface{}`\nStep 5: Return type mismatch for GetConfig: interface expects `(*ConfigEntry, error)` but mock returns `(interface{}, error)` at config_test.go:294-297\nStep 6: Missing methods: MockStorageProvider lacks ListConfigs(ctx) ([]*ConfigEntry, error) and DeleteConfig(ctx, key string) error required by interface at storage.go:135-136", + "file_path": "control-plane/internal/handlers/ui/config_test.go", + "id": "f_004", + "line_end": 297, + "line_start": 289, + "score": 1.2, + "severity": "critical", + "suggestion": "Update the MockStorageProvider in config_test.go to match the new interface signatures:\n1. Change `SetConfig(ctx context.Context, key string, value interface{}) error` to `SetConfig(ctx context.Context, key string, value string, updatedBy string) error`\n2. Change `GetConfig(ctx context.Context, key string) (interface{}, error)` to `GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error)`\n3. Add `ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error)` method\n4. Add `DeleteConfig(ctx context.Context, key string) error` method", + "tags": [ + "compile-error", + "interface-mismatch", + "test-mock", + "breaking-change" + ], + "title": "MockStorageProvider.SetConfig/GetConfig have obsolete signatures - interface mismatch" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `MockStorageProvider` in `execute_test.go` has obsolete method signatures for `SetConfig` and `GetConfig` that do not match the updated `StorageProvider` interface. The interface was changed in `storage.go` to use `string` parameters and `*ConfigEntry` return types, plus added `ListConfigs` and `DeleteConfig` methods. The mock still uses the old `interface{}` signatures and lacks the new methods entirely.\n\n**Interface signature (storage.go:132-136):**\n```go\nSetConfig(ctx context.Context, key string, value string, updatedBy string) error\nGetConfig(ctx context.Context, key string) (*ConfigEntry, error)\nListConfigs(ctx context.Context) ([]*ConfigEntry, error)\nDeleteConfig(ctx context.Context, key string) error\n```\n\n**Mock signature (execute_test.go:173-178):**\n```go\nSetConfig(ctx context.Context, key string, value interface{}) error // WRONG: missing updatedBy, wrong type\nGetConfig(ctx context.Context, key string) (interface{}, error) // WRONG: wrong return type\n// ListConfigs - MISSING entirely\n// DeleteConfig - MISSING entirely\n```\n\nThis is a **compile-breaking issue**. Go's strict interface satisfaction rules mean `MockStorageProvider` no longer implements `StorageProvider`, causing build failures.", + "confidence": 1, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "storage-provider-interface-mismatch", + "dimension_name": "StorageProvider Interface Implementation Verification", + "evidence": "Step 1: StorageProvider interface defines SetConfig with signature `(ctx context.Context, key string, value string, updatedBy string) error` at storage.go:133\nStep 2: MockStorageProvider defines SetConfig with signature `(ctx context.Context, key string, value interface{}) error` at execute_test.go:173\nStep 3: Parameter mismatch: interface expects 4 parameters (ctx, key, value, updatedBy) but mock has 3 parameters (ctx, key, value)\nStep 4: Type mismatch: interface expects `value string` but mock accepts `value interface{}`\nStep 5: Return type mismatch for GetConfig: interface expects `(*ConfigEntry, error)` but mock returns `(interface{}, error)` at execute_test.go:176-178\nStep 6: Missing methods: MockStorageProvider lacks ListConfigs(ctx) ([]*ConfigEntry, error) and DeleteConfig(ctx, key string) error required by interface at storage.go:135-136", + "file_path": "control-plane/internal/handlers/execute_test.go", + "id": "f_005", + "line_end": 178, + "line_start": 173, + "score": 1.2, + "severity": "critical", + "suggestion": "Update the MockStorageProvider in execute_test.go to match the new interface signatures:\n1. Change `SetConfig(ctx context.Context, key string, value interface{}) error` to `SetConfig(ctx context.Context, key string, value string, updatedBy string) error`\n2. Change `GetConfig(ctx context.Context, key string) (interface{}, error)` to `GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error)`\n3. Add `ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error)` method\n4. Add `DeleteConfig(ctx context.Context, key string) error` method", + "tags": [ + "compile-error", + "interface-mismatch", + "test-mock", + "breaking-change" + ], + "title": "MockStorageProvider.SetConfig/GetConfig have obsolete signatures - interface mismatch" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `MockStorageProvider` in `config_test.go` is missing the two new configuration methods added to the `StorageProvider` interface: `ListConfigs` and `DeleteConfig`. These were added as part of the database-backed configuration storage feature in the PR.\n\n**Required by interface (storage.go:135-136):**\n```go\nListConfigs(ctx context.Context) ([]*ConfigEntry, error)\nDeleteConfig(ctx context.Context, key string) error\n```\n\n**Current state:** Neither method exists in MockStorageProvider\n\nThis causes the mock to fail to implement the interface, resulting in a compile error.", + "confidence": 1, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "storage-provider-interface-mismatch", + "dimension_name": "StorageProvider Interface Implementation Verification", + "evidence": "Step 1: StorageProvider interface at storage.go:40 defines four configuration methods at lines 133-136\nStep 2: MockStorageProvider at config_test.go:25 only implements SetConfig and GetConfig at lines 289-297\nStep 3: ListConfigs method is NOT present in the mock (grep found no match)\nStep 4: DeleteConfig method is NOT present in the mock (grep found no match)\nStep 5: Go compiler will report: 'MockStorageProvider does not implement StorageProvider (missing ListConfigs method)' and similar for DeleteConfig", + "file_path": "control-plane/internal/handlers/ui/config_test.go", + "id": "f_006", + "line_end": 30, + "line_start": 25, + "score": 1.2, + "severity": "critical", + "suggestion": "Add the missing methods to MockStorageProvider:\n\n```go\nfunc (m *MockStorageProvider) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n args := m.Called(ctx)\n if args.Get(0) == nil {\n return nil, args.Error(1)\n }\n return args.Get(0).([]*storage.ConfigEntry), args.Error(1)\n}\n\nfunc (m *MockStorageProvider) DeleteConfig(ctx context.Context, key string) error {\n args := m.Called(ctx, key)\n return args.Error(0)\n}\n```", + "tags": [ + "compile-error", + "interface-mismatch", + "test-mock", + "missing-methods" + ], + "title": "MockStorageProvider missing ListConfigs and DeleteConfig methods" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `MockStorageProvider` in `execute_test.go` is missing the two new configuration methods added to the `StorageProvider` interface: `ListConfigs` and `DeleteConfig`. These were added as part of the database-backed configuration storage feature in the PR.\n\n**Required by interface (storage.go:135-136):**\n```go\nListConfigs(ctx context.Context) ([]*ConfigEntry, error)\nDeleteConfig(ctx context.Context, key string) error\n```\n\n**Current state:** Neither method exists in MockStorageProvider\n\nThis causes the mock to fail to implement the interface, resulting in a compile error.", + "confidence": 1, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "storage-provider-interface-mismatch", + "dimension_name": "StorageProvider Interface Implementation Verification", + "evidence": "Step 1: StorageProvider interface at storage.go:40 defines four configuration methods at lines 133-136\nStep 2: MockStorageProvider at execute_test.go:22 only implements SetConfig and GetConfig at lines 173-178\nStep 3: ListConfigs method is NOT present in the mock (grep found no match)\nStep 4: DeleteConfig method is NOT present in the mock (grep found no match)\nStep 5: Go compiler will report: 'MockStorageProvider does not implement StorageProvider (missing ListConfigs method)' and similar for DeleteConfig", + "file_path": "control-plane/internal/handlers/execute_test.go", + "id": "f_007", + "line_end": 25, + "line_start": 22, + "score": 1.2, + "severity": "critical", + "suggestion": "Add the missing methods to MockStorageProvider:\n\n```go\nfunc (m *MockStorageProvider) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n return nil, nil\n}\n\nfunc (m *MockStorageProvider) DeleteConfig(ctx context.Context, key string) error {\n return nil\n}\n```", + "tags": [ + "compile-error", + "interface-mismatch", + "test-mock", + "missing-methods" + ], + "title": "MockStorageProvider missing ListConfigs and DeleteConfig methods" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `version` column is auto-incremented during upsert operations but there's no database-level constraint or application-level check to prevent lost updates. When two admins simultaneously update the same config key via `PUT /api/v1/configs/:key`, the second write will overwrite the first without any warning or conflict detection.\n\nThe storage implementation at `local.go:5129-5160` uses `ON CONFLICT DO UPDATE` with `version = config_storage.version + 1`, which is atomic but doesn't validate that the admin read the latest version before updating. This means:\n\n1. Admin A reads config version 5\n2. Admin B reads config version 5\n3. Admin A saves \u2192 version becomes 6\n4. Admin B saves \u2192 version becomes 7 (silently overwriting Admin A's changes)\n\n**Impact**: Configuration changes can be silently lost in multi-admin environments, potentially causing production misconfiguration.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_4", + "dimension_name": "Coverage Gap - Database Migration", + "evidence": "Step 1: Migration defines `version INTEGER NOT NULL DEFAULT 1` (line 7)\nStep 2: GORM model marks `Version int` with `not null;default:1` tag (models.go:483)\nStep 3: SetConfig() uses upsert: `version = config_storage.version + 1` (local.go:5143,5156)\nStep 4: No version check in WHERE clause or BEFORE UPDATE trigger to validate expected version\nStep 5: ConfigStorageHandlers.SetConfig() accepts no version parameter (config_storage.go:67-100)", + "file_path": "control-plane/migrations/028_create_config_storage.sql", + "id": "f_017", + "line_end": 21, + "line_start": 1, + "score": 1.14, + "severity": "critical", + "suggestion": "Add optimistic locking by either:\n1. **Preferred**: Add `expected_version` parameter to PUT endpoint and fail with 409 Conflict if current version != expected\n2. Alternative: Add timestamp-based conflict detection using `updated_at`\n3. Add application-level check in SetConfig: `UPDATE config_storage SET ... WHERE key = ? AND version = ?` then check RowsAffected", + "tags": [ + "concurrency", + "data-loss", + "api-design", + "migration" + ], + "title": "Version field lacks optimistic locking - concurrent updates cause silent data loss" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `SetConfig` method implements versioning without optimistic locking, causing **silent data loss** when concurrent updates occur.\n\n**The Problem:**\n- Admin A reads config at version 1\n- Admin B reads config at version 1\n- Both admins modify different parts of the config\n- Both call `SetConfig` with their changes\n- Both execute `ON CONFLICT (key) DO UPDATE SET version = config_storage.version + 1`\n- Both result in version = 2\n- **Admin A's changes are silently lost** with no error or warning\n\n**Why this is critical:**\nIn production environments with multiple admins or automated systems updating config, concurrent modifications will result in last-write-wins behavior that loses intermediate changes. The version field provides an **audit trail illusion** - it looks like versioning is working but actually provides no conflict detection.\n\n**Code analysis:**\n```go\nON CONFLICT (key) DO UPDATE SET\n value = EXCLUDED.value,\n version = config_storage.version + 1, // <-- No WHERE clause checking expected version!\n updated_by = EXCLUDED.updated_by,\n updated_at = EXCLUDED.updated_at\n```\n\nThis is different from proper optimistic locking which would use:\n```sql\nUPDATE config_storage SET value = ?, version = version + 1 WHERE key = ? AND version = ?\n```", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_3", + "dimension_name": "storage layer - ConfigStorageModel versioning and SetConfig implementation", + "evidence": "Step 1: Two admins (A and B) both call `GET /api/v1/configs/agentfield.yaml` and receive version=1\nStep 2: Admin A modifies port setting, calls `PUT /api/v1/configs/agentfield.yaml` - succeeds, version becomes 2\nStep 3: Admin B modifies log level, calls `PUT` with payload based on version=1 they read earlier\nStep 4: In local.go:5137-5161, the SQL executes `ON CONFLICT...version + 1` without checking if the update is based on current version\nStep 5: Admin B's update succeeds (version becomes 2), but **Admin A's port change is silently overwritten**\nStep 6: No error is returned - the data loss is undetected", + "file_path": "control-plane/internal/storage/local.go", + "id": "f_022", + "line_end": 5161, + "line_start": 5129, + "score": 1.14, + "severity": "critical", + "suggestion": "Implement proper optimistic locking by:\n1. Adding an optional `expectedVersion` parameter to `SetConfig`\n2. Using a transaction with SELECT FOR UPDATE to read current version\n3. Only updating if current version matches expected version\n4. Returning a specific error (e.g., `ErrConfigVersionConflict`) when versions don't match\n5. Updating the handler to accept `If-Match` header with expected version and return 409 Conflict on mismatch", + "tags": [ + "concurrency", + "data-loss", + "optimistic-locking", + "versioning" + ], + "title": "VERSIONING WITHOUT OPTIMISTIC LOCKING: Concurrent updates cause silent data loss" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The config storage routes at /api/v1/configs/* are registered directly on agentAPI without any authentication middleware, despite the comment claiming they are 'admin-authenticated'. The vulnerability: (1) Line 1552-1553 registers config handlers on agentAPI without authentication. (2) The global APIKeyAuth middleware (line 881) is a no-op when no API key is configured (default state). (3) The AdminTokenAuth middleware used for other admin routes (line 1533) is NOT applied to config routes. (4) This leaves all config CRUD operations (list, get, set, delete, reload) exposed to unauthenticated requests. Attack scenario: Attacker calls GET /api/v1/configs to dump all configuration including secrets. Attacker calls PUT /api/v1/configs/agentfield.yaml with malicious config to modify server behavior. Attacker calls POST /api/v1/configs/reload to trigger immediate config reload. Server loads attacker-controlled configuration on next restart or reload. Impact: Full configuration compromise including admin tokens, storage credentials, DID settings, and feature toggles. This is a complete system compromise vector.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_0", + "dimension_name": "Coverage Gap Review - agentfield.yaml config_management capability", + "evidence": "Step 1: server.go:1552-1553 registers config handlers on agentAPI without auth middleware. Step 2: agentfield.yaml has no api.auth.api_key set, so APIKeyAuth is no-op (middleware/auth.go:26-28). Step 3: Other admin routes (lines 1532-1548) use AdminTokenAuth but config routes do not. Step 4: config_storage.go:26-31 exposes PUT/DELETE/POST endpoints for config modification. Step 5: Attacker can modify config without any authentication credentials.", + "file_path": "control-plane/internal/server/server.go", + "id": "f_026", + "line_end": 1555, + "line_start": 1550, + "score": 1.14, + "severity": "critical", + "suggestion": "Apply authentication middleware to config storage routes. Move config routes under adminGroup (line 1532) to inherit AdminTokenAuth, or add explicit AdminTokenAuth middleware to the config routes group. Example fix: Create a configGroup with agentAPI.Group('') and apply middleware.AdminTokenAuth(s.config.Features.DID.Authorization.AdminToken) before registering routes.", + "tags": [ + "security", + "authentication", + "authorization", + "configuration", + "critical" + ], + "title": "Config storage admin routes exposed without authentication" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `NodeHealth` struct has 5 fields (CheckInterval, CheckTimeout, ConsecutiveFailures, RecoveryDebounce, HeartbeatStaleThreshold), but `mergeDBConfig()` only handles `CheckInterval`. All other NodeHealth fields from DB config are silently ignored.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-merge-completeness", + "dimension_name": "Config Merge Completeness and Maintainability", + "evidence": "config.go:54-59 defines NodeHealthConfig with 5 fields. config_db.go:59-61 only checks `dbCfg.AgentField.NodeHealth.CheckInterval != 0`. Other fields have no corresponding merge logic.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_010", + "line_end": 61, + "line_start": 59, + "score": 1.037, + "severity": "important", + "suggestion": "Add merge logic for all NodeHealth fields: CheckTimeout, ConsecutiveFailures, RecoveryDebounce, and HeartbeatStaleThreshold. Consider replacing the entire NodeHealth struct when any field is set, similar to how Approval and DID are handled.", + "tags": [ + "config", + "incomplete-merge" + ], + "title": "Incomplete NodeHealth Merge - Only CheckInterval Is Handled" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The `mergeDBConfig` function at `config_db.go:54-103` selectively merges only specific known config fields from the database, leaving many fields unhandled. This creates a **maintenance hazard** where any new fields added to the `Config` struct will silently be ignored when loading from DB, causing confusion and incomplete configuration application.\n\n**Missing fields NOT merged from DB (partial list):**\n- `AgentFieldConfig.ExecutionQueue` (lines 39, 71-78 in config.go) - Agent call timeout, webhook settings\n- `NodeHealthConfig.CheckTimeout` (line 55) - Health check timeout\n- `NodeHealthConfig.ConsecutiveFailures` (line 56) - Failure threshold\n- `NodeHealthConfig.RecoveryDebounce` (line 57) - Recovery debounce\n- `NodeHealthConfig.HeartbeatStaleThreshold` (line 58) - Staleness threshold\n- `Features.DID.Authorization` (lines 111-135) - DID auth settings, admin tokens, access policies\n- `Features.DID.VCRequirements` (lines 171-179) - VC generation requirements\n- `Features.DID.Keystore` (lines 182-189) - Keystore configuration\n- `API.Auth` (lines 207-212) - API authentication settings\n- `UI.Enabled` (line 27) - UI enabled/disabled flag\n- `UI.SourcePath`, `UI.DistPath`, `UI.DevPort` (lines 29-31) - UI paths and dev port\n\n**Impact:** Users storing config in DB may set values like `execution_queue.agent_call_timeout` or `features.did.authorization.enabled`, but these will be silently ignored. The server continues running with incomplete config, making this a subtle bug that only manifests in production behavior differences.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "partial-config-merge", + "dimension_name": "Partial Config Merge Maintenance Hazard", + "evidence": "Step 1: Config struct defines AgentField.ExecutionQueue at config.go:39,72-78 with fields: AgentCallTimeout, WebhookTimeout, WebhookMaxAttempts, WebhookRetryBackoff, WebhookMaxRetryBackoff.\nStep 2: mergeDBConfig (config_db.go:54-103) checks AgentField.Port, NodeHealth, ExecutionCleanup, Approval, Features.DID (partially), API.CORS, UI.\nStep 3: ExecutionQueue is never referenced in mergeDBConfig - all queue settings are silently ignored when loading from DB.\nStep 4: This means webhook timeouts and agent call timeouts set via DB config API will have no effect.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_013", + "line_end": 103, + "line_start": 54, + "score": 1.037, + "severity": "important", + "suggestion": "1. Add comprehensive handling for all current Config struct fields, OR\n2. Implement a reflection-based merge that uses struct tags to determine which fields should be merged (with explicit 'security' or 'nosync' tags to exclude sensitive fields), OR\n3. At minimum, add documentation comments listing all unhandled fields and a TODO/FIXME comment explaining that new fields must be manually added here\n\nRecommended approach: Add a struct tag like `merge:\"true\"` to fields that should be synced from DB, then use reflection to automatically merge those fields while preserving security-sensitive ones.", + "tags": [ + "config", + "database", + "maintenance-hazard", + "silent-failure", + "incomplete-implementation" + ], + "title": "Missing Config Fields in mergeDBConfig Creates Silent Failures" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The DIDConfig struct has 8 fields (Enabled, Method, KeyAlgorithm, DerivationMethod, KeyRotationDays, VCRequirements, Keystore, Authorization), but `mergeDBConfig()` only checks if `Method != \"\"` and then replaces the entire struct. This means:\n1. If DB only sets `Enabled: false` without Method, the entire DID config is ignored\n2. Individual DID field updates from DB are not supported - it's all-or-nothing based on Method\n3. VCRequirements, Keystore, and Authorization sub-configs from DB are never applied", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-merge-completeness", + "dimension_name": "Config Merge Completeness and Maintainability", + "evidence": "config.go:100-109 defines DIDConfig with 8 fields. config_db.go:87-89 only checks `dbCfg.Features.DID.Method != \"\"` before replacing entire struct. No handling for VCRequirements (lines 171-179), Keystore (lines 182-189), or Authorization (lines 112-135).", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_011", + "line_end": 89, + "line_start": 87, + "score": 0.983, + "severity": "important", + "suggestion": "Either handle DIDConfig fields individually (like ExecutionCleanup) or check for any non-zero DID field before replacing the struct. Ensure sub-structs (VCRequirements, Keystore, Authorization) are also considered.", + "tags": [ + "config", + "incomplete-merge" + ], + "title": "DIDConfig Merge Only Checks Method Field - Other DID Settings Ignored" + }, + { + "active_multipliers": [ + "adversary_confirmed", + "ai_generated_pr" + ], + "body": "The CORSConfig struct has 5 fields, but `mergeDBConfig()` only checks `AllowedOrigins`. If the DB config specifies `AllowedMethods`, `AllowedHeaders`, `ExposedHeaders`, or `AllowCredentials` without `AllowedOrigins`, those settings are silently ignored.", + "confidence": 0.9, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-merge-completeness", + "dimension_name": "Config Merge Completeness and Maintainability", + "evidence": "config.go:198-204 defines CORSConfig with 5 fields (AllowedOrigins, AllowedMethods, AllowedHeaders, ExposedHeaders, AllowCredentials). config_db.go:95-97 only checks `len(dbCfg.API.CORS.AllowedOrigins) > 0`.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_012", + "line_end": 97, + "line_start": 95, + "score": 0.983, + "severity": "important", + "suggestion": "Expand the condition to check for any non-zero CORS field: `len(dbCfg.API.CORS.AllowedOrigins) > 0 || len(dbCfg.API.CORS.AllowedMethods) > 0 || ...` or check each field individually.", + "tags": [ + "config", + "incomplete-merge" + ], + "title": "CORSConfig Partial Merge - Only AllowedOrigins Is Checked" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `mergeDBConfig()` function only handles a subset of configuration fields, causing **silent data loss** when config is loaded from the database. Users storing complete config in the DB will find that most fields are ignored without warning.\n\n**Fields that ARE merged (minimal subset):**\n- `AgentField.Port`\n- `AgentField.NodeHealth.CheckInterval` (only this one field - other NodeHealth fields ignored)\n- `AgentField.ExecutionCleanup` (all 6 fields merged individually)\n- `AgentField.Approval` (both fields)\n- `Features.DID.Method` (entire struct replaced if Method is set)\n- `API.CORS` (only if AllowedOrigins has items)\n- `UI` (entire struct replaced if Mode is set)\n\n**Fields NOT merged from DB (will be silently ignored):**\n\n**ExecutionQueueConfig (lines 72-78 in config.go):**\n- `AgentField.ExecutionQueue.AgentCallTimeout`\n- `AgentField.ExecutionQueue.WebhookTimeout`\n- `AgentField.ExecutionQueue.WebhookMaxAttempts`\n- `AgentField.ExecutionQueue.WebhookRetryBackoff`\n- `AgentField.ExecutionQueue.WebhookMaxRetryBackoff`\n\n**NodeHealthConfig (lines 54-59 in config.go):**\n- `AgentField.NodeHealth.CheckTimeout`\n- `AgentField.NodeHealth.ConsecutiveFailures`\n- `AgentField.NodeHealth.RecoveryDebounce`\n- `AgentField.NodeHealth.HeartbeatStaleThreshold`\n\n**DIDConfig (lines 100-109 in config.go):**\n- `Features.DID.Enabled`\n- `Features.DID.KeyAlgorithm`\n- `Features.DID.DerivationMethod`\n- `Features.DID.KeyRotationDays`\n\n**VCRequirements (lines 171-179 in config.go):**\n- `Features.DID.VCRequirements.RequireVCForRegistration`\n- `Features.DID.VCRequirements.RequireVCForExecution`\n- `Features.DID.VCRequirements.RequireVCForCrossAgent`\n- `Features.DID.VCRequirements.StoreInputOutput`\n- `Features.DID.VCRequirements.HashSensitiveData`\n- `Features.DID.VCRequirements.PersistExecutionVC`\n- `Features.DID.VCRequirements.StorageMode`\n\n**KeystoreConfig (lines 182-189 in config.go):**\n- `Features.DID.Keystore.Type`\n- `Features.DID.Keystore.Path`\n- `Features.DID.Keystore.Encryption`\n- `Features.DID.Keystore.EncryptionPassphrase`\n- `Features.DID.Keystore.BackupEnabled`\n- `Features.DID.Keystore.BackupInterval`\n\n**AuthorizationConfig (lines 112-135 in config.go):**\n- `Features.DID.Authorization.Enabled`\n- `Features.DID.Authorization.DIDAuthEnabled`\n- `Features.DID.Authorization.Domain`\n- `Features.DID.Authorization.TimestampWindowSeconds`\n- `Features.DID.Authorization.DefaultApprovalDurationHours`\n- `Features.DID.Authorization.AdminToken`\n- `Features.DID.Authorization.InternalToken`\n- `Features.DID.Authorization.TagApprovalRules` (all subfields)\n- `Features.DID.Authorization.AccessPolicies` (all subfields)\n\n**CORSConfig partial (lines 198-204 in config.go):**\n- `API.CORS.AllowedMethods` (not merged even if DB has values)\n- `API.CORS.AllowedHeaders` (not merged even if DB has values)\n- `API.CORS.ExposedHeaders` (not merged even if DB has values)\n- `API.CORS.AllowCredentials` (not merged even if DB has values)\n\nThis is a **semantic drift hazard** - future developers adding new config fields will almost certainly forget to update `mergeDBConfig()`, causing silent failures where DB config values are ignored.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-merge-completeness", + "dimension_name": "Config Merge Completeness and Maintainability", + "evidence": "mergeDBConfig() at config_db.go:54-102 only has merge logic for:\n- AgentField.Port (line 56-58)\n- AgentField.NodeHealth.CheckInterval (line 59-61)\n- AgentField.ExecutionCleanup.* (lines 63-81)\n- AgentField.Approval (lines 82-84)\n- Features.DID.Method (lines 87-89)\n- API.CORS.AllowedOrigins (lines 95-97)\n- UI.Mode (lines 100-102)\n\nconfig.go shows many additional fields in AgentFieldConfig (ExecutionQueue), DIDConfig (Enabled, KeyAlgorithm, DerivationMethod, KeyRotationDays, VCRequirements, Keystore, Authorization), and CORSConfig (AllowedMethods, AllowedHeaders, ExposedHeaders, AllowCredentials) that have no corresponding merge logic.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_008", + "line_end": 102, + "line_start": 54, + "score": 0.798, + "severity": "important", + "suggestion": "Replace the manual field-by-field merge with a generic deep-merge approach using reflection or a library like `mergo`. Alternatively, use a whitelist approach with explicit validation that fails if unknown fields are present in the DB config. At minimum, add a comment at the top of Config struct in config.go warning developers that new fields must be added to mergeDBConfig().", + "tags": [ + "config", + "maintainability", + "silent-failure", + "data-loss" + ], + "title": "Partial Config Merge - Many Config Fields Silently Ignored from DB" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `SetConfig` handler at `control-plane/internal/handlers/config_storage.go:67-78` accepts raw YAML via `io.ReadAll()` and stores it directly to the database without any validation. Only basic checks are performed (empty body at line 75-77), but **no YAML syntax validation** or **schema validation** occurs.\n\n**The Attack Scenario:**\n1. Attacker with API access calls `PUT /api/v1/configs/agentfield.yaml` with malformed YAML (e.g., invalid indentation, invalid types, or non-existent fields)\n2. Handler accepts and stores it successfully (line 85: `h.storage.SetConfig()`)\n3. Server continues running normally with current config\n4. On next restart with `AGENTFIELD_CONFIG_SOURCE=db`, `overlayDBConfig()` attempts to parse the invalid YAML at `config_db.go:37`\n5. `yaml.Unmarshal()` fails, returning an error\n6. At `server.go:109-110`, this error only prints a warning and the server continues with file/env config\n7. **Result**: Expected DB config is silently ignored, potentially causing production downtime or configuration drift\n\n**Why This Matters:**\n- In production environments using `AGENTFIELD_CONFIG_SOURCE=db`, operators expect the database to be the source of truth\n- Invalid config only surfaces during restart, which may be delayed hours/days after the bad config was stored\n- The silent fallback to file config can mask critical misconfigurations and cause cluster inconsistency", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-validation-gap", + "dimension_name": "Config Storage Validation Gap", + "evidence": "Step 1: Client calls `PUT /api/v1/configs/:key` endpoint at `config_storage.go:67`\nStep 2: Handler reads body at line 70: `body, err := io.ReadAll(c.Request.Body)`\nStep 3: Handler only checks `len(body) == 0` at lines 75-77 - no YAML validation\nStep 4: Handler stores raw body to DB at line 85: `h.storage.SetConfig(c.Request.Context(), key, string(body), updatedBy)`\nStep 5: On server restart with `AGENTFIELD_CONFIG_SOURCE=db`, `NewAgentFieldServer()` calls `overlayDBConfig(cfg, storageProvider)` at `server.go:108-109`\nStep 6: `overlayDBConfig()` calls `yaml.Unmarshal([]byte(entry.Value), &dbCfg)` at `config_db.go:37`\nStep 7: If YAML is malformed, error is returned: `fmt.Errorf(\"failed to parse database config YAML: %w\", err)`\nStep 8: At `server.go:109-110`, error is only logged as warning: `fmt.Printf(\"Warning: failed to load config from database: %v\\n\", err)`\nStep 9: Server continues startup with potentially stale file/env config instead of expected DB config", + "file_path": "control-plane/internal/handlers/config_storage.go", + "id": "f_016", + "line_end": 78, + "line_start": 67, + "score": 0.798, + "severity": "important", + "suggestion": "Add YAML validation in `SetConfig` handler before storing to database:\n\n1. **Immediate fix**: After reading body at line 70, validate it's valid YAML:\n```go\n// Validate YAML syntax\nvar yamlTest map[string]interface{}\nif err := yaml.Unmarshal(body, &yamlTest); err != nil {\n c.JSON(http.StatusBadRequest, gin.H{\"error\": \"invalid YAML syntax\", \"details\": err.Error()})\n return\n}\n```\n\n2. **Stronger validation**: Parse into actual Config struct to catch type mismatches:\n```go\nvar cfgTest config.Config\nif err := yaml.Unmarshal(body, &cfgTest); err != nil {\n c.JSON(http.StatusBadRequest, gin.H{\"error\": \"invalid config schema\", \"details\": err.Error()})\n return\n}\n```\n\n3. **Consider dry-run reload**: If `reloadFn` is available, attempt a config reload with the new YAML before persisting to catch runtime issues.", + "tags": [ + "validation", + "yaml", + "config", + "security", + "availability" + ], + "title": "SetConfig accepts invalid YAML without validation, causing delayed startup failures" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The migration sets `DEFAULT NOW()` for both `created_at` and `updated_at`, but lacks a database-level trigger to automatically update `updated_at` on row modification. While the Go implementation in `local.go` explicitly sets `updated_at` during upserts, this creates a risk for:\n\n1. Direct database updates via SQL console or admin tools won't update the timestamp\n2. Future code that uses GORM's generic Update() instead of the custom SetConfig() will fail to update the timestamp\n3. Data migration scripts or external tools won't maintain audit trail accuracy\n\n**Related risk**: The GORM model uses `autoUpdateTime` tag (models.go:487) which GORM handles automatically, but the storage layer bypasses GORM with raw SQL, creating inconsistency in behavior.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_4", + "dimension_name": "Coverage Gap - Database Migration", + "evidence": "Step 1: Migration line 11: `updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()` - only sets on INSERT\nStep 2: No `ON UPDATE` trigger or `GENERATED ALWAYS AS` clause present\nStep 3: GORM model line 487 uses `autoUpdateTime` but storage implementation bypasses GORM\nStep 4: local.go:5138-5160 uses raw SQL upsert which manually sets updated_at\nStep 5: If someone uses GORM db.Save(&model) directly, updated_at won't update due to schema limitation", + "file_path": "control-plane/migrations/028_create_config_storage.sql", + "id": "f_018", + "line_end": 11, + "line_start": 10, + "score": 0.714, + "severity": "important", + "suggestion": "Add database-level trigger to auto-update `updated_at` on any row modification:\n```sql\nCREATE OR REPLACE FUNCTION update_updated_at_column()\nRETURNS TRIGGER AS $$\nBEGIN\n NEW.updated_at = NOW();\n RETURN NEW;\nEND;\n$$ language 'plpgsql';\n\nCREATE TRIGGER update_config_storage_updated_at\n BEFORE UPDATE ON config_storage\n FOR EACH ROW\n EXECUTE FUNCTION update_updated_at_column();\n```", + "tags": [ + "data-integrity", + "audit-trail", + "schema-design" + ], + "title": "Missing ON UPDATE trigger for updated_at timestamp" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The config_management capability is added with enabled: true and read_only: false by default. This creates a privilege escalation risk if the connector token is compromised. The risk: (1) Connector routes (server.go:1558-1578) allow config management via connector token. (2) The connector token is a single shared secret stored in config (line 132: token: test-connector-token-123). (3) If an attacker obtains the connector token (via log leak, config exposure, etc.), they can modify configuration via /api/v1/connector/configs/* routes, change security settings, disable auth, redirect storage, and escalate from connector access to full control plane compromise. Current protections: config_db.go intentionally skips merging connector config from DB (good), but attacker can still modify OTHER critical sections (DID auth, storage, features). The connector is designed for SaaS integration with limited scope, but config_management gives it effectively full control over the control plane configuration. This violates the principle of least privilege.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_0", + "dimension_name": "Coverage Gap Review - agentfield.yaml config_management capability", + "evidence": "Step 1: agentfield.yaml:149-151 sets config_management enabled=true, read_only=false. Step 2: server.go:1560 applies ConnectorTokenAuth to connector routes. Step 3: server.go:1574 applies ConnectorCapabilityCheck middleware. Step 4: config_storage.go:26-31 exposes full CRUD via RegisterRoutes. Step 5: Compromised connector token leads to ability to modify any config except connector section.", + "file_path": "control-plane/config/agentfield.yaml", + "id": "f_027", + "line_end": 151, + "line_start": 149, + "score": 0.714, + "severity": "important", + "suggestion": "Change the default to enabled: false or at minimum read_only: true. Example: config_management: enabled: false (users must explicitly enable after understanding risks), read_only: true (or enable but restrict to read-only by default). Alternatively, require explicit opt-in via environment variable for write access.", + "tags": [ + "security", + "connector", + "capabilities", + "privilege-escalation" + ], + "title": "config_management capability enabled by default with write access" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `key` column is defined as `TEXT NOT NULL UNIQUE` without any length constraint or validation pattern. While this provides flexibility, it allows insertion of extremely large keys (up to 1GB in PostgreSQL) which could cause:\n\n1. **Performance issues**: Index `idx_config_storage_key` on large TEXT values increases storage and lookup overhead\n2. **API abuse**: Malicious actors could create configs with multi-MB keys causing DoS\n3. **UI/display issues**: The web UI and logs may truncate or fail to display extremely long keys\n4. **Storage waste**: Index entries for large text consume significant disk space\n\n**Context**: The primary use case is `agentfield.yaml` as the config key (as seen in config_db.go:13), which is short and predictable. There's no business requirement for arbitrary-length keys.", + "confidence": 0.8, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_4", + "dimension_name": "Coverage Gap - Database Migration", + "evidence": "Step 1: Migration line 5 defines `key TEXT NOT NULL UNIQUE`\nStep 2: No CHECK constraint or length validation present\nStep 3: Index at line 14 `idx_config_storage_key` will index full TEXT values\nStep 4: config_db.go:13 shows expected key is `agentfield.yaml` (14 chars)\nStep 5: config_storage.go handlers accept arbitrary key strings from URL path", + "file_path": "control-plane/migrations/028_create_config_storage.sql", + "id": "f_019", + "line_end": 5, + "line_start": 5, + "score": 0.672, + "severity": "important", + "suggestion": "Add length constraint to key column:\n```sql\n-- Add to migration\nkey VARCHAR(255) NOT NULL UNIQUE CHECK (LENGTH(key) > 0 AND LENGTH(key) <= 255)\n```\nOr add validation at application layer in SetConfig handler before storage call.", + "tags": [ + "data-validation", + "performance", + "security", + "dos" + ], + "title": "key column uses TEXT type without length limit or validation" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `GetConfig` method at line 5186-5187 returns `nil, nil` when config is not found, using string comparison `err.Error() == \"sql: no rows in result set\"` instead of the standard `errors.Is(err, sql.ErrNoRows)`.\n\n**Issues:**\n1. **Fragile error detection**: String comparison instead of `errors.Is()` may fail with different drivers or wrapped errors\n2. **Silent failures**: The handler in `config_storage.go` calls `GetConfig` after `SetConfig` to return saved state. If this call returns `nil, nil` (due to race condition where config was deleted between insert and select), the handler returns 500 with misleading error even though SetConfig succeeded.\n\nThis creates the scenario mentioned in the PR context: \"Error handling inconsistency: SetConfig calls storage.SetConfig(), then immediately calls storage.GetConfig() to return saved entry. If GetConfig fails, handler returns 500 error even though config WAS saved successfully\"", + "confidence": 0.75, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_3", + "dimension_name": "storage layer - ConfigStorageModel versioning and SetConfig implementation", + "evidence": "Step 1: Handler calls `storage.SetConfig()` successfully\nStep 2: Handler immediately calls `storage.GetConfig()` at config_storage.go:91-94\nStep 3: If GetConfig returns `nil, nil` (not found), handler checks `if err != nil` only\nStep 4: Handler proceeds with `nil` entry causing nil pointer dereference or returns incorrect response\nStep 5: Client receives 500 error despite config being successfully saved", + "file_path": "control-plane/internal/storage/local.go", + "id": "f_023", + "line_end": 5191, + "line_start": 5164, + "score": 0.63, + "severity": "important", + "suggestion": "1. Use `errors.Is(err, sql.ErrNoRows)` instead of string comparison at line 5186\n2. Consider returning a typed error like `ErrConfigNotFound` for missing configs\n3. Document in the `StorageProvider` interface what callers should expect for 'not found' cases", + "tags": [ + "error-handling", + "api-contract", + "nil-safety" + ], + "title": "INCONSISTENT ERROR HANDLING: GetConfig returns nil on 'not found' but storage.go contract is unclear" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "ai_generated_pr" + ], + "body": "Multiple background goroutines access `s.config` fields during server startup without any mutex protection. These goroutines run concurrently and can race with config reload operations.\n\n**Affected goroutines:**\n1. **healthMonitor** (line 164): Reads `cfg.AgentField.NodeHealth.*` fields at startup\n2. **statusManager** (line 144): Reads config during initialization\n3. **presenceManager** (line 155): Uses status config\n4. **webhookDispatcher** (lines 366-371): Reads `cfg.AgentField.ExecutionQueue.*`\n5. **observabilityForwarder** (lines 377-389): Reads config fields\n6. **cleanupService** (line 392): Uses `cfg.AgentField.ExecutionCleanup`\n\nIf config is reloaded via `POST /api/v1/configs/reload` while these services are running, data races occur when they read config fields that are being modified.", + "confidence": 0.7, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "thread-safety-mutex-usage", + "dimension_name": "Thread Safety - Config Reload Mutex", + "evidence": "Step 1: healthMonitor reads cfg.AgentField.NodeHealth at line 161-165\nStep 2: webhookDispatcher reads cfg.AgentField.ExecutionQueue.WebhookTimeout at line 367\nStep 3: cleanupService reads cfg.AgentField.ExecutionCleanup at line 392\nStep 4: All these goroutines start at lines 450-485 and run concurrently\nStep 5: Config reload via overlayDBConfig() modifies these same fields without synchronization", + "file_path": "control-plane/internal/server/server.go", + "id": "f_002", + "line_end": 167, + "line_start": 133, + "score": 0.378, + "severity": "suggestion", + "suggestion": "For each goroutine that reads config, wrap the config access with `s.configMu.RLock()` and `defer s.configMu.RUnlock()`. Alternatively, consider making config reload an atomic pointer swap rather than in-place modification.", + "tags": [ + "data-race", + "goroutines", + "config-read", + "concurrency" + ], + "title": "Important: Background goroutines read s.config without mutex protection" + }, + { + "active_multipliers": [ + "adversary_challenged", + "ai_generated_pr" + ], + "body": "While the code correctly excludes `Connector` config (token, capabilities) from DB merge with a clear security comment (lines 90-92), it also silently omits `Features.DID.Authorization` which contains equally security-sensitive fields like `AdminToken`, `InternalToken`, `AccessPolicies`, and `DIDAuthEnabled` (config.go:111-135).\n\nThe DID Authorization struct contains:\n- `AdminToken` - Separate token for admin operations\n- `InternalToken` - Used for Authorization: Bearer header to agents\n- `Domain` - Domain for did:web identifiers\n- `AccessPolicies` - Tag-based authorization policies\n\nThese fields are **not merged from DB** despite being security-relevant, but unlike the Connector exclusion, there's no explanatory comment. This inconsistency makes it unclear whether the omission is intentional (security) or accidental (incomplete implementation).", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "partial-config-merge", + "dimension_name": "Partial Config Merge Maintenance Hazard", + "evidence": "Step 1: DIDConfig.Authorization struct at config.go:111-135 defines security-sensitive fields: AdminToken, InternalToken, AccessPolicies, DIDAuthEnabled.\nStep 2: mergeDBConfig only checks dbCfg.Features.DID.Method at line 87, then assigns entire DID struct.\nStep 3: DID.Authorization is part of DID struct but never specifically handled - it would be zeroed if only Method is set, or copied wholesale if any Method is set.\nStep 4: No security comment explains why these sensitive fields are treated differently from Connector config.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_014", + "line_end": 92, + "line_start": 86, + "score": 0.357, + "severity": "important", + "suggestion": "Add an explicit comment explaining why DID.Authorization fields are excluded from DB merge, similar to the Connector comment:\n\n```go\n// NOTE: DID.Authorization config (admin_token, internal_token, access_policies) is\n// intentionally NOT merged from DB for security, similar to connector config.\n// Only DID.Method is merged as it affects VC generation behavior.\n```", + "tags": [ + "config", + "security", + "inconsistency", + "documentation" + ], + "title": "Inconsistent Security Field Handling - DID.Authorization Omitted Without Comment" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "There is no automated mechanism (build-time check, code generation, or test) to ensure that `mergeDBConfig()` stays synchronized with the `Config` struct definition. When new fields are added to `config.Config`, developers must manually remember to update `mergeDBConfig()` in a different file. This is a classic source of drift bugs.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "config-merge-completeness", + "dimension_name": "Config Merge Completeness and Maintainability", + "evidence": "mergeDBConfig() comment at line 52-53 states 'selectively merges' but provides no mechanism to ensure completeness. The function and Config struct are in separate files (config_db.go vs config.go) increasing the likelihood of drift.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_009", + "line_end": 54, + "line_start": 52, + "score": 0.306, + "severity": "suggestion", + "suggestion": "Consider adding a build tag or go:generate directive that uses reflection to verify all exported fields in Config have corresponding merge logic. Alternatively, add a unit test that uses reflection to compare the Config struct fields against known merged fields and fails if new fields are detected without test coverage in mergeDBConfig.", + "tags": [ + "maintainability", + "automation", + "testing-gap" + ], + "title": "No Automated Sync Check Between Config Struct and Merge Function" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The function comment at lines 52-53 describes what the function does but does not warn maintainers that this function must be updated whenever new config fields are added. The field-by-field merge approach creates a **compile-time blind spot** - the code compiles successfully even when Config struct has fields not handled here.\n\nA maintainer adding a new field to `Config` struct will have no indication that they also need to add handling here unless they happen to read this file. This is exactly the type of issue that caused the ExecutionCleanup bug requiring the a8bfc8c fix commit.", + "confidence": 0.8, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "partial-config-merge", + "dimension_name": "Partial Config Merge Maintenance Hazard", + "evidence": "Step 1: Function comment at lines 52-53 says 'selectively merges' and 'Only non-zero/non-empty values' but gives no warning about the maintenance requirement.\nStep 2: Config struct has 15+ fields/sub-structs (config.go:17-23, 34-41, etc.).\nStep 3: mergeDBConfig handles only 7 specific field paths (Port, NodeHealth.CheckInterval, ExecutionCleanup.*, Approval, DID.Method, API.CORS, UI).\nStep 4: No compile-time or comment-based guard exists to warn when Config grows but mergeDBConfig doesn't.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_015", + "line_end": 53, + "line_start": 52, + "score": 0.288, + "severity": "suggestion", + "suggestion": "Add a prominent TODO/FIXME comment at the top of mergeDBConfig:\n\n```go\n// TODO: This function must be updated when adding new config fields.\n// Currently missing: ExecutionQueue, NodeHealth (partial), DID.Authorization,\n// DID.VCRequirements, DID.Keystore, API.Auth, UI.Enabled, etc.\n// Consider using reflection-based merging with struct tags to avoid\n// this maintenance burden (see also: viper's automatic config merging).\n```", + "tags": [ + "config", + "documentation", + "maintenance-hazard" + ], + "title": "Missing TODO/FIXME Comment Warning About Maintenance Burden" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "In `GetConfig` (lines 5180-5184), the SQL uses `COALESCE(created_by, '')` and `COALESCE(updated_by, '')` to handle NULL values.\n\n**Issues:**\n1. **Loss of semantic meaning**: Empty string `\"\"` and NULL have different meanings - NULL means \"unknown/system\" while empty string could mean \"intentionally blank\"\n2. **Inconsistent with model**: `ConfigStorageModel` uses `*string` pointers for these fields indicating they can be NULL\n3. **ConfigEntry uses non-pointer**: The `ConfigEntry` struct in storage.go:30-38 uses plain `string` not `*string`, forcing the COALESCE\n\nThis makes it impossible to distinguish between \"created by system (NULL)\" and \"created by user with empty name (empty string)\".", + "confidence": 0.7, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_3", + "dimension_name": "storage layer - ConfigStorageModel versioning and SetConfig implementation", + "evidence": "storage.go:30-38 defines ConfigEntry with `CreatedBy string` and `UpdatedBy string` (no pointers)\n\nlocal.go:5180-5181 uses `COALESCE(created_by, '')` and `COALESCE(updated_by, '')` to handle NULLs because ConfigEntry can't hold NULL\n\nmodels.go:484-485 defines `CreatedBy *string` and `UpdatedBy *string` as pointers in the model", + "file_path": "control-plane/internal/storage/local.go", + "id": "f_025", + "line_end": 5184, + "line_start": 5179, + "score": 0.252, + "severity": "suggestion", + "suggestion": "Change `ConfigEntry` to use `*string` for `CreatedBy` and `UpdatedBy`:\n```go\ntype ConfigEntry struct {\n Key string `json:\"key\"`\n Value string `json:\"value\"`\n Version int `json:\"version\"`\n CreatedBy *string `json:\"created_by,omitempty\"` // Use pointer\n UpdatedBy *string `json:\"updated_by,omitempty\"` // Use pointer\n CreatedAt time.Time `json:\"created_at\"`\n UpdatedAt time.Time `json:\"updated_at\"`\n}\n```\n\nRemove COALESCE from SQL and scan directly into pointer fields.", + "tags": [ + "api-design", + "null-handling", + "audit-trail" + ], + "title": "AMBIGUOUS NULL HANDLING: COALESCE converts NULL to empty string losing audit information" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `created_by` and `updated_by` columns are defined as nullable TEXT without foreign key constraints or validation. This design allows arbitrary strings that may not correspond to actual users in the system, making the audit trail unreliable.\n\n**Trade-offs**: Adding FK constraints to a users table would require that table to exist and be populated, which may not be true in all deployment scenarios (e.g., API-only authentication). However, even without FK constraints, the application should validate these values against authenticated principals.", + "confidence": 0.65, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_4", + "dimension_name": "Coverage Gap - Database Migration", + "evidence": "Step 1: Migration lines 8-9: `created_by TEXT` and `updated_by TEXT` - no constraints\nStep 2: GORM model lines 484-485 uses `*string` pointers allowing NULL\nStep 3: config_storage.go:76-78 extracts `updatedBy` from context but has no validation\nStep 4: No users/agents table reference exists to validate against", + "file_path": "control-plane/migrations/028_create_config_storage.sql", + "id": "f_020", + "line_end": 9, + "line_start": 8, + "score": 0.234, + "severity": "suggestion", + "suggestion": "Consider either:\n1. Add CHECK constraint to validate format (e.g., must be valid UUID or email)\n2. Document that application layer must validate principals before storage\n3. Add comment explaining audit trail limitations for external tools", + "tags": [ + "audit-trail", + "data-integrity", + "documentation" + ], + "title": "created_by/updated_by lack referential integrity constraints" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `ConfigStorageModel` struct defines a `key` field with `uniqueIndex` but no constraints on key format, length, or allowed characters.\n\n**Potential issues:**\n1. Empty string keys allowed (no `NOT NULL` constraint validation at struct level)\n2. No maximum length enforcement\n3. No validation that keys follow expected naming conventions (e.g., no path traversal characters like `../` or `..\\`)\n\nWhile the API layer may validate, defense-in-depth suggests the storage layer should also enforce constraints.", + "confidence": 0.6, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "cluster_3", + "dimension_name": "storage layer - ConfigStorageModel versioning and SetConfig implementation", + "evidence": "models.go:479-488 shows ConfigStorageModel with `gorm:\"column:key;not null;uniqueIndex\"` - the `not null` is present but there's no size limit or format validation\n\nlocal.go:5129-5161 SetConfig accepts any key string and passes directly to SQL without validation", + "file_path": "control-plane/internal/storage/models.go", + "id": "f_024", + "line_end": 490, + "line_start": 476, + "score": 0.216, + "severity": "suggestion", + "suggestion": "Add GORM validation tags and constraints:\n```go\ntype ConfigStorageModel struct {\n ID int64 `gorm:\"column:id;primaryKey;autoIncrement\"`\n Key string `gorm:\"column:key;not null;uniqueIndex;size:255\"` // Add NOT NULL and size limit\n Value string `gorm:\"column:value;type:text;not null\"`\n // ...\n}\n```\n\nConsider adding application-level validation in `SetConfig` to reject keys containing path separators or control characters.", + "tags": [ + "validation", + "data-integrity", + "security" + ], + "title": "MISSING DATABASE CONSTRAINTS: ConfigStorageModel lacks validation for key format" + }, + { + "active_multipliers": [ + "cross_ref_compound", + "ai_generated_pr" + ], + "body": "The `configMu sync.RWMutex` field is declared in the AgentFieldServer struct at line 82, but there are **zero** usages of this mutex in the entire file.\n\nSearch results for 'configMu':\n- Line 82: Declaration only\n- NO calls to configMu.Lock()\n- NO calls to configMu.Unlock()\n- NO calls to configMu.RLock()\n- NO calls to configMu.RUnlock()\n\nThe mutex was added to the struct but never actually locked or unlocked. This makes it completely ineffective for preventing data races.", + "confidence": 0.99, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "thread-safety-mutex-usage", + "dimension_name": "Thread Safety - Config Reload Mutex", + "evidence": "Step 1: grep for 'configMu' in server.go shows only line 82 (declaration)\nStep 2: No Lock(), Unlock(), RLock(), or RUnlock() calls found\nStep 3: The mutex exists but provides zero protection\nStep 4: This indicates incomplete implementation of the thread-safety feature", + "file_path": "control-plane/internal/server/server.go", + "id": "f_001", + "line_end": 82, + "line_start": 82, + "score": 0.178, + "severity": "nitpick", + "suggestion": "Either:\n1. Add proper mutex protection around all config reads and writes (configMu.Lock() in configReloadFn, configMu.RLock() in goroutines that read config)\n2. OR remove the unused field if config reloading isn't meant to be thread-safe\n\nRecommended approach: Add RLock() around config reads in background goroutines like healthMonitor, presenceManager, etc.", + "tags": [ + "unused-code", + "mutex", + "incomplete-implementation" + ], + "title": "Important: configMu mutex is declared but NEVER used anywhere" + } + ], + "metadata": { + "agent_invocations": 21, + "anatomy": { + "blast_radius": [], + "clusters": [ + { + "description": "", + "files": [ + "control-plane/config/agentfield.yaml" + ], + "id": "cluster_0", + "name": "control-plane/config", + "primary_language": "yaml" + }, + { + "description": "", + "files": [ + "control-plane/internal/handlers/config_storage.go" + ], + "id": "cluster_1", + "name": "control-plane/internal/handlers", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/internal/server/config_db.go", + "control-plane/internal/server/server.go", + "control-plane/internal/server/server_routes_test.go" + ], + "id": "cluster_2", + "name": "control-plane/internal/server", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/internal/storage/local.go", + "control-plane/internal/storage/migrations.go", + "control-plane/internal/storage/models.go", + "control-plane/internal/storage/storage.go" + ], + "id": "cluster_3", + "name": "control-plane/internal/storage", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/migrations/028_create_config_storage.sql" + ], + "id": "cluster_4", + "name": "control-plane/migrations", + "primary_language": "sql" + } + ], + "context_notes": "This is a feature PR adding database-backed config storage with 455 lines added across 10 files. The implementation follows the existing patterns in the codebase (GORM models, Gin handlers, StorageProvider interface). Key files are config_db.go (103 lines) for config loading logic, config_storage.go (140 lines) for HTTP handlers, and local.go additions for storage implementation.", + "dependency_graph": {}, + "files": [ + { + "hunks": [ + { + "content": " enabled: true\n observability_config:\n enabled: false\n+ config_management:\n+ enabled: true\n+ read_only: false", + "header": "@@ -146,3 +146,6 @@ features:", + "new_count": 6, + "new_start": 146, + "old_count": 3, + "old_start": 146 + } + ], + "language": "yaml", + "lines_added": 3, + "lines_removed": 0, + "path": "control-plane/config/agentfield.yaml", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+package handlers\n+\n+import (\n+\t\"io\"\n+\t\"net/http\"\n+\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/storage\"\n+\t\"github.com/gin-gonic/gin\"\n+)\n+\n+// maxConfigBodySize is the maximum allowed size for a config body (1 MB).\n+// Prevents DoS via unbounded request body reads.\n+const maxConfigBodySize = 1 << 20 // 1 MB\n+\n+// ConfigReloadFunc is called to reload configuration from the database.\n+type ConfigReloadFunc func() error\n+\n+// ConfigStorageHandlers provides HTTP handlers for database-backed configuration.\n+type ConfigStorageHandlers struct {\n+\tstorage storage.StorageProvider\n+\treloadFn ConfigReloadFunc\n+}\n+\n+// NewConfigStorageHandlers creates a new ConfigStorageHandlers instance.\n+func NewConfigStorageHandlers(store storage.StorageProvider, reloadFn ConfigReloadFunc) *ConfigStorageHandlers {\n+\treturn &ConfigStorageHandlers{storage: store, reloadFn: reloadFn}\n+}\n+\n+// RegisterRoutes registers config storage routes on the given router group.\n+func (h *ConfigStorageHandlers) RegisterRoutes(group *gin.RouterGroup) {\n+\tgroup.GET(\"/configs\", h.ListConfigs)\n+\tgroup.GET(\"/configs/:key\", h.GetConfig)\n+\tgroup.PUT(\"/configs/:key\", h.SetConfig)\n+\tgroup.DELETE(\"/configs/:key\", h.DeleteConfig)\n+\tgroup.POST(\"/configs/reload\", h.ReloadConfig)\n+}\n+\n+// ListConfigs returns all stored configuration entries.\n+func (h *ConfigStorageHandlers) ListConfigs(c *gin.Context) {\n+\tentries, err := h.storage.ListConfigs(c.Request.Context())\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tif entries == nil {\n+\t\tentries = []*storage.ConfigEntry{}\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\n+\t\t\"configs\": entries,\n+\t\t\"total\": len(entries),\n+\t})\n+}\n+\n+// GetConfig returns a specific configuration entry by key.\n+func (h *ConfigStorageHandlers) GetConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\tentry, err := h.storage.GetConfig(c.Request.Context(), key)\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tif entry == nil {\n+\t\tc.JSON(http.StatusNotFound, gin.H{\"error\": \"config not found\", \"key\": key})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, entry)\n+}\n+\n+// SetConfig creates or updates a configuration entry.\n+// Accepts raw YAML/text body as the config value.\n+func (h *ConfigStorageHandlers) SetConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\n+\tbody, err := io.ReadAll(io.LimitReader(c.Request.Body, maxConfigBodySize+1))\n+\tif err != nil {\n+\t\tc.JSON(http.StatusBadRequest, gin.H{\"error\": \"failed to read request body\"})\n+\t\treturn\n+\t}\n+\tif len(body) == 0 {\n+\t\tc.JSON(http.StatusBadRequest, gin.H{\"error\": \"request body is empty\"})\n+\t\treturn\n+\t}\n+\tif len(body) > maxConfigBodySize {\n+\t\tc.JSON(http.StatusRequestEntityTooLarge, gin.H{\n+\t\t\t\"error\": \"config body exceeds maximum size\",\n+\t\t\t\"max\": maxConfigBodySize,\n+\t\t})\n+\t\treturn\n+\t}\n+\n+\tupdatedBy := c.GetHeader(\"X-Updated-By\")\n+\tif updatedBy == \"\" {\n+\t\tupdatedBy = \"api\"\n+\t}\n+\n+\tif err := h.storage.SetConfig(c.Request.Context(), key, string(body), updatedBy); err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\n+\t// Return the saved entry\n+\tentry, err := h.storage.GetConfig(c.Request.Context(), key)\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\n+\tc.JSON(http.StatusOK, gin.H{\n+\t\t\"message\": \"config saved\",\n+\t\t\"config\": entry,\n+\t})\n+}\n+\n+// DeleteConfig removes a configuration entry by key.\n+func (h *ConfigStorageHandlers) DeleteConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\tif err := h.storage.DeleteConfig(c.Request.Context(), key); err != nil {\n+\t\tc.JSON(http.StatusNotFound, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\"message\": \"config deleted\", \"key\": key})\n+}\n+\n+// ReloadConfig triggers a hot-reload of configuration from the database.\n+func (h *ConfigStorageHandlers) ReloadConfig(c *gin.Context) {\n+\tif h.reloadFn == nil {\n+\t\tc.JSON(http.StatusServiceUnavailable, gin.H{\n+\t\t\t\"error\": \"config reload not available (AGENTFIELD_CONFIG_SOURCE != db)\",\n+\t\t})\n+\t\treturn\n+\t}\n+\tif err := h.reloadFn(); err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\n+\t\t\t\"error\": \"config reload failed\",\n+\t\t\t\"details\": err.Error(),\n+\t\t})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\"message\": \"config reloaded from database\"})\n+}", + "header": "@@ -0,0 +1,140 @@", + "new_count": 140, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "go", + "lines_added": 140, + "lines_removed": 0, + "path": "control-plane/internal/handlers/config_storage.go", + "status": "added" + }, + { + "hunks": [ + { + "content": "+package server\n+\n+import (\n+\t\"context\"\n+\t\"fmt\"\n+\t\"time\"\n+\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/config\"\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/storage\"\n+\t\"gopkg.in/yaml.v3\"\n+)\n+\n+const dbConfigKey = \"agentfield.yaml\"\n+\n+// overlayDBConfig loads config from the database and merges it into the\n+// existing config. The storage section is preserved from the original config\n+// to avoid the bootstrap problem (DB connection settings can't come from DB).\n+// Precedence: env vars > DB config > file config > defaults.\n+func overlayDBConfig(cfg *config.Config, store storage.StorageProvider) error {\n+\tctx, cancel := context.WithTimeout(context.Background(), 10*time.Second)\n+\tdefer cancel()\n+\n+\tentry, err := store.GetConfig(ctx, dbConfigKey)\n+\tif err != nil {\n+\t\treturn fmt.Errorf(\"failed to read config from database: %w\", err)\n+\t}\n+\tif entry == nil {\n+\t\tfmt.Println(\"[config] No database config found (key: agentfield.yaml), using file/env config only.\")\n+\t\treturn nil\n+\t}\n+\n+\t// Preserve the storage config \u2014 it must always come from file/env (bootstrap)\n+\tsavedStorage := cfg.Storage\n+\n+\t// Parse the DB-stored YAML into a config struct\n+\tvar dbCfg config.Config\n+\tif err := yaml.Unmarshal([]byte(entry.Value), &dbCfg); err != nil {\n+\t\treturn fmt.Errorf(\"failed to parse database config YAML: %w\", err)\n+\t}\n+\n+\t// Overlay non-zero DB values onto the existing config\n+\tmergeDBConfig(cfg, &dbCfg)\n+\n+\t// Restore storage config (never overridden from DB)\n+\tcfg.Storage = savedStorage\n+\n+\tfmt.Printf(\"[config] Loaded config from database (key: %s, version: %d, updated: %s)\\n\",\n+\t\tentry.Key, entry.Version, entry.UpdatedAt.Format(time.RFC3339))\n+\treturn nil\n+}\n+\n+// mergeDBConfig selectively merges DB config values into the target config.\n+// Only non-zero/non-empty values from the DB config are applied.\n+func mergeDBConfig(target, dbCfg *config.Config) {\n+\t// AgentField settings\n+\tif dbCfg.AgentField.Port != 0 {\n+\t\ttarget.AgentField.Port = dbCfg.AgentField.Port\n+\t}\n+\tif dbCfg.AgentField.NodeHealth.CheckInterval != 0 {\n+\t\ttarget.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth\n+\t}\n+\t// Merge execution cleanup field-by-field to avoid zeroing out unset fields\n+\tif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.RetentionPeriod = dbCfg.AgentField.ExecutionCleanup.RetentionPeriod\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.CleanupInterval = dbCfg.AgentField.ExecutionCleanup.CleanupInterval\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.BatchSize != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.BatchSize = dbCfg.AgentField.ExecutionCleanup.BatchSize\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.PreserveRecentDuration = dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.StaleExecutionTimeout = dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout\n+\t}\n+\t// Enabled is a bool \u2014 only override if cleanup config is present in DB at all\n+\tif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 || dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.Enabled = dbCfg.AgentField.ExecutionCleanup.Enabled\n+\t}\n+\tif dbCfg.AgentField.Approval.WebhookSecret != \"\" || dbCfg.AgentField.Approval.DefaultExpiryHours != 0 {\n+\t\ttarget.AgentField.Approval = dbCfg.AgentField.Approval\n+\t}\n+\n+\t// Features\n+\tif dbCfg.Features.DID.Method != \"\" {\n+\t\ttarget.Features.DID = dbCfg.Features.DID\n+\t}\n+\t// NOTE: Connector config (token, capabilities) is intentionally NOT merged\n+\t// from DB. These are security-sensitive and must come from file/env config,\n+\t// similar to how storage config is protected from the bootstrap problem.\n+\n+\t// API settings (but never override API key from DB for security)\n+\tif len(dbCfg.API.CORS.AllowedOrigins) > 0 {\n+\t\ttarget.API.CORS = dbCfg.API.CORS\n+\t}\n+\n+\t// UI settings\n+\tif dbCfg.UI.Mode != \"\" {\n+\t\ttarget.UI = dbCfg.UI\n+\t}\n+}", + "header": "@@ -0,0 +1,103 @@", + "new_count": 103, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "go", + "lines_added": 103, + "lines_removed": 0, + "path": "control-plane/internal/server/config_db.go", + "status": "added" + }, + { + "hunks": [ + { + "content": " \t\"path/filepath\"\n \t\"strconv\"\n \t\"strings\"\n+\t\"sync\"\n \t\"time\"\n \n \t\"github.com/Agent-Field/agentfield/control-plane/internal/config\"", + "header": "@@ -13,6 +13,7 @@ import (", + "new_count": 7, + "new_start": 13, + "old_count": 6, + "old_start": 13 + }, + { + "content": " \tadminGRPCPort int\n \twebhookDispatcher services.WebhookDispatcher\n \tobservabilityForwarder services.ObservabilityForwarder\n+\tconfigMu sync.RWMutex\n }\n \n // NewAgentFieldServer creates a new instance of the AgentFieldServer.", + "header": "@@ -79,6 +80,7 @@ type AgentFieldServer struct {", + "new_count": 7, + "new_start": 80, + "old_count": 6, + "old_start": 79 + }, + { + "content": " \t\treturn nil, err\n \t}\n \n+\t// Overlay database-stored config if AGENTFIELD_CONFIG_SOURCE=db\n+\tif src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src == \"db\" {\n+\t\tif err := overlayDBConfig(cfg, storageProvider); err != nil {\n+\t\t\tfmt.Printf(\"Warning: failed to load config from database: %v\\n\", err)\n+\t\t}\n+\t}\n+\n \tRouter := gin.Default()\n \n \t// Sync installed.yaml to database for package visibility", + "header": "@@ -104,6 +106,13 @@ func NewAgentFieldServer(cfg *config.Config) (*AgentFieldServer, error) {", + "new_count": 13, + "new_start": 106, + "old_count": 6, + "old_start": 104 + }, + { + "content": " \t}, nil\n }\n \n+// configReloadFn returns a function that reloads config from the database,\n+// or nil if AGENTFIELD_CONFIG_SOURCE is not set to \"db\".\n+// The returned function acquires configMu to prevent data races with\n+// concurrent readers of s.config.\n+func (s *AgentFieldServer) configReloadFn() handlers.ConfigReloadFunc {\n+\tif src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src != \"db\" {\n+\t\treturn nil\n+\t}\n+\treturn func() error {\n+\t\ts.configMu.Lock()\n+\t\tdefer s.configMu.Unlock()\n+\t\treturn overlayDBConfig(s.config, s.storage)\n+\t}\n+}\n+\n // Start initializes and starts the AgentFieldServer.\n func (s *AgentFieldServer) Start() error {\n \t// Setup routes", + "header": "@@ -423,6 +432,21 @@ func NewAgentFieldServer(cfg *config.Config) (*AgentFieldServer, error) {", + "new_count": 21, + "new_start": 432, + "old_count": 6, + "old_start": 423 + }, + { + "content": " \t\t\tlogger.Logger.Info().Msg(\"\ud83d\udccb Authorization admin routes registered\")\n \t\t}\n \n+\t\t// Config storage routes (admin-authenticated)\n+\t\t{\n+\t\t\tconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n+\t\t\tconfigHandlers.RegisterRoutes(agentAPI)\n+\t\t\tlogger.Logger.Info().Msg(\"Config storage routes registered\")\n+\t\t}\n+\n \t\t// Connector routes (authenticated with separate connector token)\n \t\tif s.config.Features.Connector.Enabled && s.config.Features.Connector.Token != \"\" {\n \t\t\tconnectorGroup := agentAPI.Group(\"/connector\")", + "header": "@@ -1529,6 +1553,13 @@ func (s *AgentFieldServer) setupRoutes() {", + "new_count": 13, + "new_start": 1553, + "old_count": 6, + "old_start": 1529 + }, + { + "content": " \t\t\t)\n \t\t\tconnectorHandlers.RegisterRoutes(connectorGroup)\n \n+\t\t\t// Config management routes for connector\n+\t\t\tconfigGroup := connectorGroup.Group(\"\")\n+\t\t\tconfigGroup.Use(middleware.ConnectorCapabilityCheck(\"config_management\", s.config.Features.Connector.Capabilities))\n+\t\t\t{\n+\t\t\t\tconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n+\t\t\t\tconfigHandlers.RegisterRoutes(configGroup)\n+\t\t\t}\n+\n \t\t\tlogger.Logger.Info().Msg(\"\ud83d\udd0c Connector routes registered\")\n \t\t}\n \t}", + "header": "@@ -1544,6 +1575,14 @@ func (s *AgentFieldServer) setupRoutes() {", + "new_count": 14, + "new_start": 1575, + "old_count": 6, + "old_start": 1544 + } + ], + "language": "go", + "lines_added": 39, + "lines_removed": 0, + "path": "control-plane/internal/server/server.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " }\n \n // Configuration\n-func (s *stubStorage) SetConfig(ctx context.Context, key string, value interface{}) error { return nil }\n-func (s *stubStorage) GetConfig(ctx context.Context, key string) (interface{}, error) {\n+func (s *stubStorage) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n+\treturn nil\n+}\n+func (s *stubStorage) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error) {\n+\treturn nil, nil\n+}\n+func (s *stubStorage) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n \treturn nil, nil\n }\n+func (s *stubStorage) DeleteConfig(ctx context.Context, key string) error { return nil }\n \n // Reasoner Performance and History\n func (s *stubStorage) GetReasonerPerformanceMetrics(ctx context.Context, reasonerID string) (*types.ReasonerPerformanceMetrics, error) {", + "header": "@@ -230,10 +230,16 @@ func (s *stubStorage) ListAgentGroups(ctx context.Context, teamID string) ([]typ", + "new_count": 16, + "new_start": 230, + "old_count": 10, + "old_start": 230 + } + ], + "language": "go", + "lines_added": 8, + "lines_removed": 2, + "path": "control-plane/internal/server/server_routes_test.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \treturn nil\n }\n \n-// SetConfig stores a configuration key-value pair in SQLite.\n-func (ls *LocalStorage) SetConfig(ctx context.Context, key string, value interface{}) error {\n-\t// Fast-fail if context is already cancelled\n+// SetConfig upserts a configuration entry in the database.\n+// On conflict (duplicate key), it increments the version and updates the value.\n+func (ls *LocalStorage) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n \tif err := ctx.Err(); err != nil {\n \t\treturn err\n \t}\n \n-\t// TODO: Implement configuration storage in SQLite\n-\treturn fmt.Errorf(\"SetConfig not yet implemented for LocalStorage\")\n+\tdb := ls.requireSQLDB()\n+\tnow := time.Now().UTC()\n+\n+\tif ls.mode == \"postgres\" {\n+\t\t_, err := db.ExecContext(ctx, `\n+\t\t\tINSERT INTO config_storage (key, value, version, created_by, updated_by, created_at, updated_at)\n+\t\t\tVALUES ($1, $2, 1, $3, $3, $4, $4)\n+\t\t\tON CONFLICT (key) DO UPDATE SET\n+\t\t\t\tvalue = EXCLUDED.value,\n+\t\t\t\tversion = config_storage.version + 1,\n+\t\t\t\tupdated_by = EXCLUDED.updated_by,\n+\t\t\t\tupdated_at = EXCLUDED.updated_at`,\n+\t\t\tkey, value, updatedBy, now)\n+\t\treturn err\n+\t}\n+\n+\t// SQLite\n+\t_, err := db.ExecContext(ctx, `\n+\t\tINSERT INTO config_storage (key, value, version, created_by, updated_by, created_at, updated_at)\n+\t\tVALUES (?, ?, 1, ?, ?, ?, ?)\n+\t\tON CONFLICT (key) DO UPDATE SET\n+\t\t\tvalue = excluded.value,\n+\t\t\tversion = config_storage.version + 1,\n+\t\t\tupdated_by = excluded.updated_by,\n+\t\t\tupdated_at = excluded.updated_at`,\n+\t\tkey, value, updatedBy, updatedBy, now, now)\n+\treturn err\n }\n \n-// GetConfig retrieves a configuration value from SQLite by key.\n-func (ls *LocalStorage) GetConfig(ctx context.Context, key string) (interface{}, error) {\n-\t// Fast-fail if context is already cancelled\n+// GetConfig retrieves a configuration entry by key.\n+func (ls *LocalStorage) GetConfig(ctx context.Context, key string) (*ConfigEntry, error) {\n+\tif err := ctx.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n+\tdb := ls.requireSQLDB()\n+\tvar entry ConfigEntry\n+\n+\tvar placeholder string\n+\tif ls.mode == \"postgres\" {\n+\t\tplaceholder = \"$1\"\n+\t} else {\n+\t\tplaceholder = \"?\"\n+\t}\n+\n+\trow := db.QueryRowContext(ctx,\n+\t\tfmt.Sprintf(`SELECT key, value, version, COALESCE(created_by, ''), COALESCE(updated_by, ''), created_at, updated_at\n+\t\tFROM config_storage WHERE key = %s`, placeholder), key)\n+\n+\terr := row.Scan(&entry.Key, &entry.Value, &entry.Version,\n+\t\t&entry.CreatedBy, &entry.UpdatedBy, &entry.CreatedAt, &entry.UpdatedAt)\n+\tif err != nil {\n+\t\tif errors.Is(err, sql.ErrNoRows) {\n+\t\t\treturn nil, nil\n+\t\t}\n+\t\treturn nil, fmt.Errorf(\"failed to get config %q: %w\", key, err)\n+\t}\n+\treturn &entry, nil\n+}\n+\n+// ListConfigs returns all stored configuration entries.\n+func (ls *LocalStorage) ListConfigs(ctx context.Context) ([]*ConfigEntry, error) {\n \tif err := ctx.Err(); err != nil {\n \t\treturn nil, err\n \t}\n \n-\t// TODO: Implement configuration retrieval from SQLite\n-\treturn nil, fmt.Errorf(\"GetConfig not yet implemented for LocalStorage\")\n+\tdb := ls.requireSQLDB()\n+\trows, err := db.QueryContext(ctx,\n+\t\t`SELECT key, value, version, COALESCE(created_by, ''), COALESCE(updated_by, ''), created_at, updated_at\n+\t\tFROM config_storage ORDER BY key`)\n+\tif err != nil {\n+\t\treturn nil, fmt.Errorf(\"failed to list configs: %w\", err)\n+\t}\n+\tdefer rows.Close()\n+\n+\tvar entries []*ConfigEntry\n+\tfor rows.Next() {\n+\t\tvar entry ConfigEntry\n+\t\tif err := rows.Scan(&entry.Key, &entry.Value, &entry.Version,\n+\t\t\t&entry.CreatedBy, &entry.UpdatedBy, &entry.CreatedAt, &entry.UpdatedAt); err != nil {\n+\t\t\treturn nil, fmt.Errorf(\"failed to scan config row: %w\", err)\n+\t\t}\n+\t\tentries = append(entries, &entry)\n+\t}\n+\treturn entries, rows.Err()\n+}\n+\n+// DeleteConfig removes a configuration entry by key.\n+func (ls *LocalStorage) DeleteConfig(ctx context.Context, key string) error {\n+\tif err := ctx.Err(); err != nil {\n+\t\treturn err\n+\t}\n+\n+\tdb := ls.requireSQLDB()\n+\tvar placeholder string\n+\tif ls.mode == \"postgres\" {\n+\t\tplaceholder = \"$1\"\n+\t} else {\n+\t\tplaceholder = \"?\"\n+\t}\n+\n+\tresult, err := db.ExecContext(ctx,\n+\t\tfmt.Sprintf(`DELETE FROM config_storage WHERE key = %s`, placeholder), key)\n+\tif err != nil {\n+\t\treturn fmt.Errorf(\"failed to delete config %q: %w\", key, err)\n+\t}\n+\trows, _ := result.RowsAffected()\n+\tif rows == 0 {\n+\t\treturn fmt.Errorf(\"config %q not found\", key)\n+\t}\n+\treturn nil\n }\n \n // SubscribeToMemoryChanges implements the StorageProvider SubscribeToMemoryChanges method using local pub/sub.", + "header": "@@ -5124,26 +5124,124 @@ func (ls *LocalStorage) UpdateAgentTrafficWeight(ctx context.Context, id string,", + "new_count": 124, + "new_start": 5124, + "old_count": 26, + "old_start": 5124 + } + ], + "language": "go", + "lines_added": 108, + "lines_removed": 10, + "path": "control-plane/internal/storage/local.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \t\t&DIDDocumentModel{},\n \t\t&AccessPolicyModel{},\n \t\t&AgentTagVCModel{},\n+\t\t&ConfigStorageModel{},\n \t}\n \n \tif err := gormDB.WithContext(ctx).AutoMigrate(models...); err != nil {", + "header": "@@ -233,6 +233,7 @@ func (ls *LocalStorage) autoMigrateSchema(ctx context.Context) error {", + "new_count": 7, + "new_start": 233, + "old_count": 6, + "old_start": 233 + } + ], + "language": "go", + "lines_added": 1, + "lines_removed": 0, + "path": "control-plane/internal/storage/migrations.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " }\n \n func (AgentTagVCModel) TableName() string { return \"agent_tag_vcs\" }\n+\n+// ConfigStorageModel stores configuration files in the database.\n+// Each record represents a named configuration (e.g. \"agentfield.yaml\")\n+// with versioning for audit trail.\n+type ConfigStorageModel struct {\n+\tID int64 `gorm:\"column:id;primaryKey;autoIncrement\"`\n+\tKey string `gorm:\"column:key;not null;uniqueIndex\"`\n+\tValue string `gorm:\"column:value;type:text;not null\"`\n+\tVersion int `gorm:\"column:version;not null;default:1\"`\n+\tCreatedBy *string `gorm:\"column:created_by\"`\n+\tUpdatedBy *string `gorm:\"column:updated_by\"`\n+\tCreatedAt time.Time `gorm:\"column:created_at;autoCreateTime\"`\n+\tUpdatedAt time.Time `gorm:\"column:updated_at;autoUpdateTime\"`\n+}\n+\n+func (ConfigStorageModel) TableName() string { return \"config_storage\" }", + "header": "@@ -472,3 +472,19 @@ type AgentTagVCModel struct {", + "new_count": 19, + "new_start": 472, + "old_count": 3, + "old_start": 472 + } + ], + "language": "go", + "lines_added": 16, + "lines_removed": 0, + "path": "control-plane/internal/storage/models.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \tActiveExecutions int\n }\n \n+// ConfigEntry represents a database-stored configuration file.\n+type ConfigEntry struct {\n+\tKey string `json:\"key\"`\n+\tValue string `json:\"value\"`\n+\tVersion int `json:\"version\"`\n+\tCreatedBy string `json:\"created_by,omitempty\"`\n+\tUpdatedBy string `json:\"updated_by,omitempty\"`\n+\tCreatedAt time.Time `json:\"created_at\"`\n+\tUpdatedAt time.Time `json:\"updated_at\"`\n+}\n+\n // StorageProvider is the interface for the primary data storage backend.\n type StorageProvider interface {\n \t// Lifecycle", + "header": "@@ -26,6 +26,17 @@ type RunSummaryAggregation struct {", + "new_count": 17, + "new_start": 26, + "old_count": 6, + "old_start": 26 + }, + { + "content": " \tUpdateAgentVersion(ctx context.Context, id string, version string) error\n \tUpdateAgentTrafficWeight(ctx context.Context, id string, version string, weight int) error\n \n-\t// Configuration\n-\tSetConfig(ctx context.Context, key string, value interface{}) error\n-\tGetConfig(ctx context.Context, key string) (interface{}, error)\n+\t// Configuration Storage (database-backed config files)\n+\tSetConfig(ctx context.Context, key string, value string, updatedBy string) error\n+\tGetConfig(ctx context.Context, key string) (*ConfigEntry, error)\n+\tListConfigs(ctx context.Context) ([]*ConfigEntry, error)\n+\tDeleteConfig(ctx context.Context, key string) error\n \n \t// Reasoner Performance and History\n \tGetReasonerPerformanceMetrics(ctx context.Context, reasonerID string) (*types.ReasonerPerformanceMetrics, error)", + "header": "@@ -118,9 +129,11 @@ type StorageProvider interface {", + "new_count": 11, + "new_start": 129, + "old_count": 9, + "old_start": 118 + } + ], + "language": "go", + "lines_added": 16, + "lines_removed": 3, + "path": "control-plane/internal/storage/storage.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+-- +goose Up\n+-- +goose StatementBegin\n+CREATE TABLE IF NOT EXISTS config_storage (\n+ id BIGSERIAL PRIMARY KEY,\n+ key TEXT NOT NULL UNIQUE,\n+ value TEXT NOT NULL,\n+ version INTEGER NOT NULL DEFAULT 1,\n+ created_by TEXT,\n+ updated_by TEXT,\n+ created_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW(),\n+ updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()\n+);\n+\n+CREATE INDEX IF NOT EXISTS idx_config_storage_key ON config_storage(key);\n+-- +goose StatementEnd\n+\n+-- +goose Down\n+-- +goose StatementBegin\n+DROP INDEX IF EXISTS idx_config_storage_key;\n+DROP TABLE IF EXISTS config_storage;\n+-- +goose StatementEnd", + "header": "@@ -0,0 +1,21 @@", + "new_count": 21, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "sql", + "lines_added": 21, + "lines_removed": 0, + "path": "control-plane/migrations/028_create_config_storage.sql", + "status": "added" + } + ], + "intent_gaps": [ + "MISSING CONNECTOR ROUTES: PR description promises 'Add connector-scoped config routes gated by config_management capability' but no connector handler code visible in this PR. The 'Related PRs' section mentions 'Connector: Agent-Field/connector' - these routes may be implemented there instead.", + "NO AUTOMATED TESTS: Test plan only lists manual tests. No unit/integration tests added for SetConfig/GetConfig/ListConfigs/DeleteConfig, overlayDBConfig, or config_storage handlers.", + "NO CONFIG VALIDATION: PR description mentions 'Store config in DB' via PUT endpoint but doesn't describe any validation of config content. Invalid YAML can be stored and will only fail on server restart.", + "HOT RELOAD LIMITATIONS: The POST /configs/reload endpoint reloads config into memory, but services initialized at startup (health monitor intervals, webhook timeouts) won't pick up changes without full server restart.", + "NO ROLLBACK MECHANISM: Once DB config is loaded, there's no API to revert to file-only config without restarting server with AGENTFIELD_CONFIG_SOURCE unset.", + "CONFIG MERGE INCOMPLETENESS: The mergeDBConfig() function in config_db.go:54-102 handles specific fields but comments suggest it should handle all config. Missing: logging config, feature flags (other than DID), mcp config, and any future config sections.", + "VERSIONING SEMANTICS: PR mentions 'versioning for audit trail' but no endpoint to retrieve historical config versions or rollback to previous version." + ], + "pr_narrative": "This PR introduces a database-backed configuration storage system with the following architecture:\n\n1. **Database Schema**: New `config_storage` table (migration 028) with GORM model `ConfigStorageModel` storing key-value config pairs with versioning, audit trail (created_by, updated_by, timestamps).\n\n2. **Storage Layer**: Four new methods on `StorageProvider` interface (`SetConfig`, `GetConfig`, `ListConfigs`, `DeleteConfig`) implemented in `local.go` using GORM for both SQLite and PostgreSQL.\n\n3. **Config Loading at Startup**: New `config_db.go` containing `overlayDBConfig()` function that loads config from DB when `AGENTFIELD_CONFIG_SOURCE=db` env var is set. The function:\n - Reads config entry with key 'agentfield.yaml' from DB\n - Parses YAML into config struct\n - Selectively merges non-zero values into existing config (preserving storage section for bootstrap safety)\n - Precedence: env vars > DB config > file config > defaults\n\n4. **API Surface**: New `config_storage.go` handlers providing:\n - `GET /api/v1/configs` - List all configs\n - `GET /api/v1/configs/:key` - Get specific config\n - `PUT /api/v1/configs/:key` - Create/update config (accepts raw YAML body)\n - `DELETE /api/v1/configs/:key` - Delete config\n - `POST /api/v1/configs/reload` - Hot-reload config from DB\n\n5. **Server Integration**: Modified `server.go` to:\n - Call `overlayDBConfig()` during `NewAgentFieldServer()` initialization (lines 107-112)\n - Add `configReloadFn()` method that returns reload function when `AGENTFIELD_CONFIG_SOURCE=db`\n - Config storage handlers receive reload function via constructor\n\n6. **Default Config**: Added `config_management` capability to connector capabilities in `agentfield.yaml` (lines 149-151).", + "risk_surfaces": [ + "BOOTSTRAP TIMING RACE: overlayDBConfig() in server.go:107-112 runs AFTER storage initialization but BEFORE config is fully used. If DB config fails to load (line 109-110), server continues with only a warning print. In production with `AGENTFIELD_CONFIG_SOURCE=db` expected, silent fallback to file config could cause config drift across instances.", + "PARTIAL CONFIG MERGE: config_db.go:54-102 mergeDBConfig() only handles specific known fields (AgentField.Port, NodeHealth, ExecutionCleanup, Approval, Features.DID, API.CORS, UI). Any NEW config fields added to the Config struct in the future will NOT be merged from DB unless explicitly added here - this is a maintenance hazard.", + "SECURITY FIELD PROTECTION: config_db.go:91-92 comment states connector config (token, capabilities) is intentionally NOT merged from DB for security. However, the PR adds `config_management` capability to default agentfield.yaml:149-151. If connector compromise occurs, attacker could potentially modify config via connector API (routes not visible in this PR but implied).", + "ERROR HANDLING INCONSISTENCY: config_storage.go:85-100 SetConfig calls storage.SetConfig(), then immediately calls storage.GetConfig() to return saved entry. If GetConfig fails (lines 91-94), handler returns 500 error even though config WAS saved successfully, leaving client uncertain of actual state.", + "NO CONFIG VALIDATION: config_storage.go:67-78 accepts raw YAML body via io.ReadAll() without any validation that the YAML is valid, matches expected schema, or won't break server on next restart. Invalid YAML will only surface when server restarts with `AGENTFIELD_CONFIG_SOURCE=db`.", + "VERSIONING WITHOUT OPTIMISTIC LOCKING: models.go:479-488 ConfigStorageModel has version field auto-incremented by GORM, but storage.go SetConfig() implementation (not visible in this PR) likely uses simple upsert. Concurrent updates from multiple admins could cause last-write-wins data loss.", + "RELOAD RACE CONDITION: config_storage.go:114-128 ReloadConfig handler calls reloadFn which modifies in-memory config struct. No mutex protection visible - concurrent reloads or reload during config access could cause race conditions.", + "MISSING CONNECTOR ROUTES: PR description mentions 'connector-scoped config routes gated by config_management capability' but no connector handler code or routes are visible in the provided files. Either these routes are in a separate PR (mentioned as 'Related PRs') or this is incomplete implementation.", + "YAML PARSING FAILURE MODE: config_db.go:36-39 calls yaml.Unmarshal() on DB config value. If YAML is malformed, overlayDBConfig() returns error which is only logged as warning (server.go:110). Server continues startup with potentially incomplete config - could mask critical misconfiguration.", + "STORAGE SECTION PROTECTION BYPASS: config_db.go:33-45 preserves storage config and restores it after merge. However, if DB config contains storage section with empty/zero values, the merge logic (lines 54-102) might still apply changes before restoration at line 45, potentially causing temporary connection issues." + ], + "stats": { + "files_added": 3, + "files_modified": 7, + "files_removed": 0, + "files_renamed": 0, + "test_files_changed": 1, + "test_to_code_ratio": 0.1111111111111111, + "total_additions": 455, + "total_deletions": 15, + "total_files": 10 + }, + "unrelated_changes": [ + "server_routes_test.go:233-242 adds stub implementations for new Config methods to stubStorage, but these are required for interface compliance, not unrelated.", + "migrations/028_create_config_storage.sql:14 creates index on key column, but GORM model at models.go:481 already defines `uniqueIndex` on Key - potentially redundant index creation.", + "models.go:479-488 ConfigStorageModel includes both `CreatedAt` with `autoCreateTime` and explicit time.Time fields - standard GORM pattern, not truly unrelated." + ] + }, + "budget": { + "budget_exhausted": true, + "cost_breakdown": { + "adversary": 0, + "anatomy": 0, + "coverage": 0, + "cross_ref": 0, + "intake": 0, + "meta_selectors": 0, + "output": 0, + "review": 0, + "synthesis": 0 + }, + "max_cost_usd": 2, + "max_duration_seconds": 2400, + "total_cost_usd": 0 + }, + "intake": { + "ai_generated": 0.6666666666666666, + "areas_touched": [ + "database", + "api", + "tests", + "config" + ], + "complexity": "complex", + "languages": [ + "go", + "sql", + "yaml" + ], + "pr_summary": "## Summary\n- Add `config_storage` table (GORM model + Goose migration 028) for storing configuration files in the database\n- Implement `SetConfig`/`GetConfig`/`ListConfigs`/`DeleteConfig` on the `StorageProvider` interface (works on both SQLite and PostgreSQL)\n- Add `AGENTFIELD_CONFIG_SOURCE=db` environment variable to load config from the database at startup (overlays on top of file config, preserving storage section for bootstrap)\n- Add CRUD API endpoints at `GET/PUT/DELETE /api/v1/configs/:key`\n- Add connector-scoped config routes gated by `config_management` capability\n- Add `config_management` capability to default `agentfield.yaml`\n\n## How It Works\n1. **Store config in DB**: `PUT /api/v1/configs/agentfield.yaml` with YAML body\n2. **Load from DB at startup**: Set `AGENTFIELD_CONFIG_SOURCE=db` \u2192 server reads config from DB after storage init\n3. **Remote management**: SaaS \u2192 connector \u2192 `config_management` capability \u2192 CP config API\n4. **Precedence**: env vars > DB config > file config > defaults\n5. **Bootstrap safety**: The `storage` section is never overridden from DB (DB connection can't come from DB)\n\n## Related PRs\n- Connector: Agent-Field/connector (config_management capability)\n- hax-sdk: Agent-Field/hax-sdk (config editor UI)\n\n## Test plan\n- [x] `go build ./...` passes\n- [x] Server tests pass\n- [x] Storage test failure is pre-existing (FTS5 not available)\n- [ ] Manual test: create config via API, verify it loads on restart with `AGENTFIELD_CONFIG_SOURCE=db`\n- [ ] Manual test: verify connector flow end-to-end\n\n\ud83e\udd16 Generated with [Claude Code](https://claude.com/claude-code)", + "pr_type": "feature", + "review_depth": "standard", + "risk_signals": [ + "modifies data model or schema-affecting code", + "changes API surface or request/response behavior", + "includes configuration changes", + "test behavior updated" + ] + }, + "phases_completed": [ + "intake", + "anatomy", + "meta_selectors", + "review", + "adversary", + "cross_ref", + "coverage", + "synthesis", + "output" + ], + "plan": { + "ai_adjusted": false, + "cross_ref_hints": [], + "dimensions": [ + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/config/config.go" + ], + "id": "semantic_sem-001", + "name": "Config Reload Race Condition", + "priority": 10, + "review_prompt": "Investigate the thread safety of the config reload mechanism introduced in this PR.\n\n**Problem**: The PR adds a `configMu sync.RWMutex` field to `AgentFieldServer` struct (server.go:81) and uses it in `configReloadFn()` to protect writes during reload. However, the config (`s.config`) is accessed from 35+ locations throughout the codebase (grep for 's\\.config\\.' in server.go) WITHOUT any mutex protection.\n\n**Key Files to Examine**:\n- `control-plane/internal/server/server.go:433-442` - configReloadFn() implementation\n- `control-plane/internal/server/server.go:48-82` - AgentFieldServer struct definition showing config field\n- `control-plane/internal/server/config_db.go:19-50` - overlayDBConfig() that modifies config\n\n**Verification Steps**:\n1. Check if ANY readers of s.config acquire configMu.RLock() before access\n2. Look at server.go:502 (s.config.AgentField.Port), 834-838 (CORS config access), 882-883 (API key access), 913 (DID config), etc.\n3. Confirm that overlayDBConfig() modifies the config struct in-place (line 42: mergeDBConfig(cfg, &dbCfg))\n4. Verify that concurrent config access during reload could cause data races\n\n**Expected Issue**: The mutex only protects the reload operation itself, not the readers. During a reload, readers may see partially updated config, torn reads, or stale data. This is a classic readers-writers problem where readers run unsynchronized.", + "target_files": [ + "control-plane/internal/server/server.go", + "control-plane/internal/server/config_db.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/storage/local.go" + ], + "id": "mechanical_mech-001", + "name": "StorageProvider Interface Signature Compatibility", + "priority": 10, + "review_prompt": "The PR changes the StorageProvider interface methods from (SetConfig/GetConfig with interface{} return types) to new signatures with string parameters and *ConfigEntry return types, plus adds ListConfigs and DeleteConfig methods.\n\nVerify that ALL implementations of StorageProvider have been updated:\n\n1. **Check these test mocks have OLD signatures (WILL BREAK):**\n - `control-plane/internal/handlers/ui/config_test.go:289-297` - MockStorageProvider.SetConfig/GetConfig still use `interface{}`\n - `control-plane/internal/handlers/execute_test.go:173-178` - MockStorageProvider has old signatures\n\n2. **Verify these mocks are missing NEW methods:**\n - Both mocks above lack `ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error)`\n - Both mocks above lack `DeleteConfig(ctx context.Context, key string) error`\n - Both mocks have wrong signature for `SetConfig(ctx, key, value string, updatedBy string)`\n\n3. **Check if interface is fully implemented:**\n - Run: `cd control-plane && go build ./...`\n - Any compile errors about interface satisfaction?\n - Check: `go test ./internal/handlers/ui/...` and `./internal/handlers/...`\n\nThis is a CRITICAL mechanical issue - the PR will not compile due to interface mismatch.", + "target_files": [ + "control-plane/internal/handlers/ui/config_test.go", + "control-plane/internal/handlers/execute_test.go", + "control-plane/internal/storage/storage.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [], + "id": "semantic_sem-002", + "name": "Partial Config Merge Maintenance Hazard", + "priority": 8, + "review_prompt": "Analyze the completeness and maintainability of the config merge logic in mergeDBConfig().\n\n**Problem**: The mergeDBConfig() function in config_db.go:54-102 selectively merges only specific known config fields. Any NEW config fields added to the Config struct in the future will NOT be merged from DB unless explicitly added to this function.\n\n**Key Files to Examine**:\n- `control-plane/internal/server/config_db.go:54-102` - mergeDBConfig() implementation\n- `control-plane/internal/config/config.go` - Full Config struct definition\n\n**Verification Steps**:\n1. List all config fields that ARE merged: AgentField.Port, NodeHealth, ExecutionCleanup fields, Approval, Features.DID, API.CORS, UI\n2. List config fields that are NOT merged (check config.go):\n - ExecutionQueue (AgentCallTimeout, WebhookTimeout, etc.)\n - Features.DID.Authorization (all security settings)\n - Features.DID.VCRequirements\n - Features.DID.Keystore\n - API.Auth (API key from DB is explicitly ignored per comment)\n - Logging config (if any)\n - MCP config (if any)\n3. Check if there's any automated way to ensure mergeDBConfig stays in sync with Config struct\n4. Verify this creates a maintenance burden where adding new config fields requires updating mergeDBConfig\n\n**Expected Issue**: This is a semantic drift hazard. Future developers adding config fields will likely forget to update mergeDBConfig(), causing silent failures where DB config values are ignored.", + "target_files": [ + "control-plane/internal/server/config_db.go", + "control-plane/internal/config/config.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/config/config.go" + ], + "id": "semantic_sem-005", + "name": "Unvalidated Config Storage and Late Failure", + "priority": 8, + "review_prompt": "Investigate the validation gap in config storage and its impact on server startup.\n\n**Problem**: The SetConfig handler (config_storage.go:67-78) accepts raw YAML without validating it's valid YAML or matches the expected config schema. Invalid YAML is stored successfully but only fails when the server restarts with AGENTFIELD_CONFIG_SOURCE=db.\n\n**Key Files to Examine**:\n- `control-plane/internal/handlers/config_storage.go:67-78` - SetConfig body reading\n- `control-plane/internal/server/config_db.go:36-39` - YAML parsing at startup\n- `control-plane/internal/config/config.go:222-249` - LoadConfig validation\n\n**Verification Steps**:\n1. Check what validation occurs in SetConfig:\n - Line 70-77: Only checks for empty body and size limit\n - No YAML syntax validation\n - No schema validation against Config struct\n2. Verify when invalid YAML is detected:\n - config_db.go:37-38: yaml.Unmarshal() at server startup\n - Line 110: Only prints warning, server continues\n3. Consider attack vector: attacker with API access stores malformed YAML, server cannot restart with DB config\n4. Check if there's any way to validate config without full server restart\n\n**Expected Issue**: Malformed config can be stored via API and will only surface as a startup failure, potentially causing downtime or forcing fallback to file config when DB config was intended.", + "target_files": [ + "control-plane/internal/handlers/config_storage.go", + "control-plane/internal/server/config_db.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/server/config_db.go" + ], + "id": "mechanical_mech-002", + "name": "Config Reload Mutex Protection", + "priority": 8, + "review_prompt": "The PR adds a `configMu sync.RWMutex` to AgentFieldServer struct (server.go:82) but the configReloadFn method (server.go:433-442) does NOT acquire this mutex when reloading config.\n\nInvestigate the thread-safety:\n\n1. **Check server.go:433-442** - configReloadFn() returns a function that calls overlayDBConfig()\n - Does it acquire s.configMu.Lock()? (It should but verify)\n - The overlayDBConfig function modifies s.config directly\n\n2. **Check for concurrent access patterns:**\n - Search for other readers of s.config throughout server.go\n - Are there goroutines that read config without holding the mutex?\n - Specifically check: health monitor, cleanup service, webhook dispatcher - these all read config fields\n\n3. **Verify the mutex is actually used:**\n - Search for `configMu` usage in server.go\n - Is it only declared but never locked/unlocked?\n - The PR adds the mutex field but may not use it consistently\n\nThis could cause data races if config is reloaded while other goroutines read config values.", + "target_files": [ + "control-plane/internal/server/server.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/config/config.go" + ], + "id": "systemic_systemic-001", + "name": "Config Merge Completeness and Maintainability", + "priority": 8, + "review_prompt": "Review the mergeDBConfig function in control-plane/internal/server/config_db.go:54-102. This function implements field-by-field merging of DB config into the target config, but only handles specific known fields (AgentField.Port, NodeHealth, ExecutionCleanup, Approval, Features.DID, API.CORS, UI).\n\nKey concerns:\n1. The function has a maintenance hazard - any NEW config fields added to the Config struct in the future will NOT be merged from DB unless explicitly added here. Check if this is documented or if there's a more robust pattern.\n2. Compare with existing config loading patterns in the codebase (e.g., how viper handles config merging).\n3. Look at the Config struct in control-plane/internal/config/config.go to identify fields that are NOT handled by mergeDBConfig (e.g., Storage, Logging, MCP, Feature flags other than DID).\n4. Determine if the selective merge is intentional (for security/bootstrap safety) or if it creates an incomplete feature.\n5. Check if there's a TODO or comment explaining this limitation and when it should be expanded.", + "target_files": [ + "control-plane/internal/server/config_db.go" + ] + } + ], + "total_budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + } + } + }, + "pr_url": "https://github.com/Agent-Field/agentfield/pull/254", + "review": { + "body": "## \ud83d\udd34 PR-AF Review \u2014 **Needs Major Rework**\n\n*Automated multi-agent code review \u00b7 [PR-AF](https://github.com/Agent-Field/agentfield) built with [AgentField](https://github.com/Agent-Field/agentfield)*\n\n> **25 findings** \u00b7 \ud83d\udd34 7 critical \u00b7 \ud83d\udfe0 11 important \u00b7 \ud83d\udd35 6 suggestions \u00b7 \u26aa 1 nitpicks\n\n
\nPR Overview\n\n## Summary\n- Add `config_storage` table (GORM model + Goose migration 028) for storing configuration files in the database\n- Implement `SetConfig`/`GetConfig`/`ListConfigs`/`DeleteConfig` on the `StorageProvider` interface (works on both SQLite and PostgreSQL)\n- Add `AGENTFIELD_CONFIG_SOURCE=db` environment variable to load config from the database at startup (overlays on top of file config, preserving storage section for bootstrap)\n- Add CRUD API endpoints at `GET/PUT/DELETE /api/v1/configs/:key`\n- Add connector-scoped config routes gated by `config_management` capability\n- Add `config_management` capability to default `agentfield.yaml`\n\n## How It Works\n1. **Store config in DB**: `PUT /api/v1/configs/agentfield.yaml` with YAML body\n2. **Load from DB at startup**: Set `AGENTFIELD_CONFIG_SOURCE=db` \u2192 server reads config from DB after storage init\n3. **Remote management**: SaaS \u2192 connector \u2192 `config_management` capability \u2192 CP config API\n4. **Precedence**: env vars > DB config > file config > defaults\n5. **Bootstrap safety**: The `storage` section is never overridden from DB (DB connection can't come from DB)\n\n## Related PRs\n- Connector: Agent-Field/connector (config_management capability)\n- hax-sdk: Agent-Field/hax-sdk (config editor UI)\n\n## Test plan\n- [x] `go build ./...` passes\n- [x] Server tests pass\n- [x] Storage test failure is pre-existing (FTS5 not available)\n- [ ] Manual test: create config via API, verify it loads on restart with `AGENTFIELD_CONFIG_SOURCE=db`\n- [ ] Manual test: verify connector flow end-to-end\n\n\ud83e\udd16 Generated with [Claude Code](https://claude.com/claude-code)\n\n
\n\n### Key Findings\n\n**18 issue(s) should be addressed before merge:**\n\n- \ud83d\udd34 **MockStorageProvider.SetConfig/GetConfig have obsolete signatures - interface mismatch** (`control-plane/internal/handlers/ui/config_test.go:289`) \u2014 The `MockStorageProvider` in `config_test.go` has obsolete method signatures for `SetConfig` and `GetConfig` that do not match the updated `StorageProvider` interface.\n- \ud83d\udd34 **MockStorageProvider.SetConfig/GetConfig have obsolete signatures - interface mismatch** (`control-plane/internal/handlers/execute_test.go:173`) \u2014 The `MockStorageProvider` in `execute_test.go` has obsolete method signatures for `SetConfig` and `GetConfig` that do not match the updated `StorageProvider` interface.\n- \ud83d\udd34 **MockStorageProvider missing ListConfigs and DeleteConfig methods** (`control-plane/internal/handlers/ui/config_test.go:25`) \u2014 The `MockStorageProvider` in `config_test.go` is missing the two new configuration methods added to the `StorageProvider` interface: `ListConfigs` and `DeleteConfig`.\n- \ud83d\udd34 **MockStorageProvider missing ListConfigs and DeleteConfig methods** (`control-plane/internal/handlers/execute_test.go:22`) \u2014 The `MockStorageProvider` in `execute_test.go` is missing the two new configuration methods added to the `StorageProvider` interface: `ListConfigs` and `DeleteConfig`.\n- \ud83d\udd34 **Version field lacks optimistic locking - concurrent updates cause silent data loss** (`control-plane/migrations/028_create_config_storage.sql:1`) \u2014 The `version` column is auto-incremented during upsert operations but there's no database-level constraint or application-level check to prevent lost updates.\n- \ud83d\udd34 **VERSIONING WITHOUT OPTIMISTIC LOCKING: Concurrent updates cause silent data loss** (`control-plane/internal/storage/local.go:5129`) \u2014 The `SetConfig` method implements versioning without optimistic locking, causing **silent data loss** when concurrent updates occur.\n- \ud83d\udd34 **Config storage admin routes exposed without authentication** (`control-plane/internal/server/server.go:1550`) \u2014 The config storage routes at /api/v1/configs/* are registered directly on agentAPI without any authentication middleware, despite the comment claiming they are 'admin-authenticated'.\n- \ud83d\udfe0 **Incomplete NodeHealth Merge - Only CheckInterval Is Handled** (`control-plane/internal/server/config_db.go:59`) \u2014 The `NodeHealth` struct has 5 fields (CheckInterval, CheckTimeout, ConsecutiveFailures, RecoveryDebounce, HeartbeatStaleThreshold), but `mergeDBConfig()` only handles `CheckInterval`.\n- \u2026 and 10 more (see All Findings by Severity)\n\n**7 suggestion(s) and style note(s):**\n\n- \ud83d\udd35 Important: Background goroutines read s.config without mutex protection (`control-plane/internal/server/server.go:133`)\n- \ud83d\udd35 No Automated Sync Check Between Config Struct and Merge Function (`control-plane/internal/server/config_db.go:52`)\n- \ud83d\udd35 Missing TODO/FIXME Comment Warning About Maintenance Burden (`control-plane/internal/server/config_db.go:52`)\n- \ud83d\udd35 AMBIGUOUS NULL HANDLING: COALESCE converts NULL to empty string losing audit information (`control-plane/internal/storage/local.go:5179`)\n- \ud83d\udd35 created_by/updated_by lack referential integrity constraints (`control-plane/migrations/028_create_config_storage.sql:8`)\n- \u2026 and 2 more (see All Findings by Severity)\n\n**Files with findings:** `control-plane/config/agentfield.yaml`, `control-plane/internal/handlers/config_storage.go`, `control-plane/internal/handlers/execute_test.go`, `control-plane/internal/handlers/ui/config_test.go`, `control-plane/internal/server/config_db.go`, `control-plane/internal/server/server.go`, `control-plane/internal/storage/local.go`, `control-plane/internal/storage/models.go`, `control-plane/migrations/028_create_config_storage.sql`\n\n
\nAll Findings by Severity\n\n#### \ud83d\udd34 Critical (7)\n\n- **MockStorageProvider.SetConfig/GetConfig have obsolete signatures - interface mismatch** `control-plane/internal/handlers/ui/config_test.go:289`\n- **MockStorageProvider.SetConfig/GetConfig have obsolete signatures - interface mismatch** `control-plane/internal/handlers/execute_test.go:173`\n- **MockStorageProvider missing ListConfigs and DeleteConfig methods** `control-plane/internal/handlers/ui/config_test.go:25`\n- **MockStorageProvider missing ListConfigs and DeleteConfig methods** `control-plane/internal/handlers/execute_test.go:22`\n- **Version field lacks optimistic locking - concurrent updates cause silent data loss** `control-plane/migrations/028_create_config_storage.sql:1`\n- **VERSIONING WITHOUT OPTIMISTIC LOCKING: Concurrent updates cause silent data loss** `control-plane/internal/storage/local.go:5129`\n- **Config storage admin routes exposed without authentication** `control-plane/internal/server/server.go:1550`\n\n#### \ud83d\udfe0 Important (11)\n\n- **Incomplete NodeHealth Merge - Only CheckInterval Is Handled** `control-plane/internal/server/config_db.go:59`\n- **Missing Config Fields in mergeDBConfig Creates Silent Failures** `control-plane/internal/server/config_db.go:54`\n- **DIDConfig Merge Only Checks Method Field - Other DID Settings Ignored** `control-plane/internal/server/config_db.go:87`\n- **CORSConfig Partial Merge - Only AllowedOrigins Is Checked** `control-plane/internal/server/config_db.go:95`\n- **Partial Config Merge - Many Config Fields Silently Ignored from DB** `control-plane/internal/server/config_db.go:54`\n- **SetConfig accepts invalid YAML without validation, causing delayed startup failures** `control-plane/internal/handlers/config_storage.go:67`\n- **Missing ON UPDATE trigger for updated_at timestamp** `control-plane/migrations/028_create_config_storage.sql:10`\n- **config_management capability enabled by default with write access** `control-plane/config/agentfield.yaml:149`\n- **key column uses TEXT type without length limit or validation** `control-plane/migrations/028_create_config_storage.sql:5`\n- **INCONSISTENT ERROR HANDLING: GetConfig returns nil on 'not found' but storage.go contract is unclear** `control-plane/internal/storage/local.go:5164`\n- **Inconsistent Security Field Handling - DID.Authorization Omitted Without Comment** `control-plane/internal/server/config_db.go:86`\n\n#### \ud83d\udd35 Suggestion (6)\n\n- **Important: Background goroutines read s.config without mutex protection** `control-plane/internal/server/server.go:133`\n- **No Automated Sync Check Between Config Struct and Merge Function** `control-plane/internal/server/config_db.go:52`\n- **Missing TODO/FIXME Comment Warning About Maintenance Burden** `control-plane/internal/server/config_db.go:52`\n- **AMBIGUOUS NULL HANDLING: COALESCE converts NULL to empty string losing audit information** `control-plane/internal/storage/local.go:5179`\n- **created_by/updated_by lack referential integrity constraints** `control-plane/migrations/028_create_config_storage.sql:8`\n- **MISSING DATABASE CONSTRAINTS: ConfigStorageModel lacks validation for key format** `control-plane/internal/storage/models.go:476`\n\n#### \u26aa Nitpick (1)\n\n- **Important: configMu mutex is declared but NEVER used anywhere** `control-plane/internal/server/server.go:82`\n\n
\n\n
\nReview Process Details\n\n**Dimensions Analyzed (6):**\n\n- **Config Reload Race Condition** \u2014 2 file(s)\n- **StorageProvider Interface Signature Compatibility** \u2014 3 file(s)\n- **Partial Config Merge Maintenance Hazard** \u2014 2 file(s)\n- **Unvalidated Config Storage and Late Failure** \u2014 2 file(s)\n- **Config Reload Mutex Protection** \u2014 1 file(s)\n- **Config Merge Completeness and Maintainability** \u2014 1 file(s)\n\n**Meta-Dimension Lenses (3):**\n\n- **Semantic** \u2014 5 dimension(s), 85% coverage confidence\n- **Mechanical** \u2014 3 dimension(s), 85% coverage confidence\n- **Systemic** \u2014 3 dimension(s), 75% coverage confidence\n\n**Cross-Reference & Adversary Analysis:**\n\n- **8** cross-change interaction(s) detected\n- **16** finding(s) adversarially tested: 13 confirmed, 3 challenged\n\n
\n\n
\nPipeline Stats\n\n| Metric | Value |\n|--------|-------|\n| Duration | 2608.6s |\n| Agent invocations | 21 |\n| Coverage iterations | 1 |\n| Estimated cost | N/A (provider does not report cost) |\n| Budget exhausted | Yes (timeout: 2608s > 2400s limit) |\n| PR type | feature |\n| Complexity | complex |\n\n
\n\nReview ID: `rev_5795c21d6bdd`", + "comments": [ + { + "body": "\ud83d\udd34 **[CRITICAL] Version field lacks optimistic locking - concurrent updates cause silent data loss**\n\nThe `version` column is auto-incremented during upsert operations but there's no database-level constraint or application-level check to prevent lost updates. When two admins simultaneously update the same config key via `PUT /api/v1/configs/:key`, the second write will overwrite the first without any warning or conflict detection.\n\nThe storage implementation at `local.go:5129-5160` uses `ON CONFLICT DO UPDATE` with `version = config_storage.version + 1`, which is atomic but doesn't validate that the admin read the latest version before updating. This means:\n\n1. Admin A reads config version 5\n2. Admin B reads config version 5\n3. Admin A saves \u2192 version becomes 6\n4. Admin B saves \u2192 version becomes 7 (silently overwriting Admin A's changes)\n\n**Impact**: Configuration changes can be silently lost in multi-admin environments, potentially causing production misconfiguration.\n\n---\n\n> Step 1: Migration defines `version INTEGER NOT NULL DEFAULT 1` (line 7)\n> Step 2: GORM model marks `Version int` with `not null;default:1` tag (models.go:483)\n> Step 3: SetConfig() uses upsert: `version = config_storage.version + 1` (local.go:5143,5156)\n> Step 4: No version check in WHERE clause or BEFORE UPDATE trigger to validate expected version\n> Step 5: ConfigStorageHandlers.SetConfig() accepts no version parameter (config_storage.go:67-100)\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd optimistic locking by either:\n1. **Preferred**: Add `expected_version` parameter to PUT endpoint and fail with 409 Conflict if current version != expected\n2. Alternative: Add timestamp-based conflict detection using `updated_at`\n3. Add application-level check in SetConfig: `UPDATE config_storage SET ... WHERE key = ? AND version = ?` then check RowsAffected\n\n---\n*`Coverage Gap - Database Migration` \u00b7 confidence 95%*", + "line": 1, + "path": "control-plane/migrations/028_create_config_storage.sql", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] VERSIONING WITHOUT OPTIMISTIC LOCKING: Concurrent updates cause silent data loss**\n\nThe `SetConfig` method implements versioning without optimistic locking, causing **silent data loss** when concurrent updates occur.\n\n**The Problem:**\n- Admin A reads config at version 1\n- Admin B reads config at version 1\n- Both admins modify different parts of the config\n- Both call `SetConfig` with their changes\n- Both execute `ON CONFLICT (key) DO UPDATE SET version = config_storage.version + 1`\n- Both result in version = 2\n- **Admin A's changes are silently lost** with no error or warning\n\n**Why this is critical:**\nIn production environments with multiple admins or automated systems updating config, concurrent modifications will result in last-write-wins behavior that loses intermediate changes. The version field provides an **audit trail illusion** - it looks like versioning is working but actually provides no conflict detection.\n\n**Code analysis:**\n```go\nON CONFLICT (key) DO UPDATE SET\n value = EXCLUDED.value,\n version = config_storage.version + 1, // <-- No WHERE clause checking expected version!\n updated_by = EXCLUDED.updated_by,\n updated_at = EXCLUDED.updated_at\n```\n\nThis is different from proper optimistic locking which would use:\n```sql\nUPDATE config_storage SET value = ?, version = version + 1 WHERE key = ? AND version = ?\n```\n\n---\n\n> Step 1: Two admins (A and B) both call `GET /api/v1/configs/agentfield.yaml` and receive version=1\n> Step 2: Admin A modifies port setting, calls `PUT /api/v1/configs/agentfield.yaml` - succeeds, version becomes 2\n> Step 3: Admin B modifies log level, calls `PUT` with payload based on version=1 they read earlier\n> Step 4: In local.go:5137-5161, the SQL executes `ON CONFLICT...version + 1` without checking if the update is based on current version\n> Step 5: Admin B's update succeeds (version becomes 2), but **Admin A's port change is silently overwritten**\n> Step 6: No error is returned - the data loss is undetected\n\n**\ud83d\udca1 Suggested Fix**\n\nImplement proper optimistic locking by:\n1. Adding an optional `expectedVersion` parameter to `SetConfig`\n2. Using a transaction with SELECT FOR UPDATE to read current version\n3. Only updating if current version matches expected version\n4. Returning a specific error (e.g., `ErrConfigVersionConflict`) when versions don't match\n5. Updating the handler to accept `If-Match` header with expected version and return 409 Conflict on mismatch\n\n---\n*`storage layer - ConfigStorageModel versioning and SetConfig implementation` \u00b7 confidence 95%*", + "line": 5129, + "path": "control-plane/internal/storage/local.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Incomplete NodeHealth Merge - Only CheckInterval Is Handled**\n\nThe `NodeHealth` struct has 5 fields (CheckInterval, CheckTimeout, ConsecutiveFailures, RecoveryDebounce, HeartbeatStaleThreshold), but `mergeDBConfig()` only handles `CheckInterval`. All other NodeHealth fields from DB config are silently ignored.\n\n---\n\n> config.go:54-59 defines NodeHealthConfig with 5 fields. config_db.go:59-61 only checks `dbCfg.AgentField.NodeHealth.CheckInterval != 0`. Other fields have no corresponding merge logic.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd merge logic for all NodeHealth fields: CheckTimeout, ConsecutiveFailures, RecoveryDebounce, and HeartbeatStaleThreshold. Consider replacing the entire NodeHealth struct when any field is set, similar to how Approval and DID are handled.\n\n---\n*`Config Merge Completeness and Maintainability` \u00b7 confidence 95%*", + "line": 59, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Missing Config Fields in mergeDBConfig Creates Silent Failures**\n\nThe `mergeDBConfig` function at `config_db.go:54-103` selectively merges only specific known config fields from the database, leaving many fields unhandled. This creates a **maintenance hazard** where any new fields added to the `Config` struct will silently be ignored when loading from DB, causing confusion and incomplete configuration application.\n\n**Missing fields NOT merged from DB (partial list):**\n- `AgentFieldConfig.ExecutionQueue` (lines 39, 71-78 in config.go) - Agent call timeout, webhook settings\n- `NodeHealthConfig.CheckTimeout` (line 55) - Health check timeout\n- `NodeHealthConfig.ConsecutiveFailures` (line 56) - Failure threshold\n- `NodeHealthConfig.RecoveryDebounce` (line 57) - Recovery debounce\n- `NodeHealthConfig.HeartbeatStaleThreshold` (line 58) - Staleness threshold\n- `Features.DID.Authorization` (lines 111-135) - DID auth settings, admin tokens, access policies\n- `Features.DID.VCRequirements` (lines 171-179) - VC generation requirements\n- `Features.DID.Keystore` (lines 182-189) - Keystore configuration\n- `API.Auth` (lines 207-212) - API authentication settings\n- `UI.Enabled` (line 27) - UI enabled/disabled flag\n- `UI.SourcePath`, `UI.DistPath`, `UI.DevPort` (lines 29-31) - UI paths and dev port\n\n**Impact:** Users storing config in DB may set values like `execution_queue.agent_call_timeout` or `features.did.authorization.enabled`, but these will be silently ignored. The server continues running with incomplete config, making this a subtle bug that only manifests in production behavior differences.\n\n---\n\n> Step 1: Config struct defines AgentField.ExecutionQueue at config.go:39,72-78 with fields: AgentCallTimeout, WebhookTimeout, WebhookMaxAttempts, WebhookRetryBackoff, WebhookMaxRetryBackoff.\n> Step 2: mergeDBConfig (config_db.go:54-103) checks AgentField.Port, NodeHealth, ExecutionCleanup, Approval, Features.DID (partially), API.CORS, UI.\n> Step 3: ExecutionQueue is never referenced in mergeDBConfig - all queue settings are silently ignored when loading from DB.\n> Step 4: This means webhook timeouts and agent call timeouts set via DB config API will have no effect.\n\n**\ud83d\udca1 Suggested Fix**\n\n1. Add comprehensive handling for all current Config struct fields, OR\n2. Implement a reflection-based merge that uses struct tags to determine which fields should be merged (with explicit 'security' or 'nosync' tags to exclude sensitive fields), OR\n3. At minimum, add documentation comments listing all unhandled fields and a TODO/FIXME comment explaining that new fields must be manually added here\n\nRecommended approach: Add a struct tag like `merge:\"true\"` to fields that should be synced from DB, then use reflection to automatically merge those fields while preserving security-sensitive ones.\n\n---\n*`Partial Config Merge Maintenance Hazard` \u00b7 confidence 95%*", + "line": 54, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] DIDConfig Merge Only Checks Method Field - Other DID Settings Ignored**\n\nThe DIDConfig struct has 8 fields (Enabled, Method, KeyAlgorithm, DerivationMethod, KeyRotationDays, VCRequirements, Keystore, Authorization), but `mergeDBConfig()` only checks if `Method != \"\"` and then replaces the entire struct. This means:\n1. If DB only sets `Enabled: false` without Method, the entire DID config is ignored\n2. Individual DID field updates from DB are not supported - it's all-or-nothing based on Method\n3. VCRequirements, Keystore, and Authorization sub-configs from DB are never applied\n\n---\n\n> config.go:100-109 defines DIDConfig with 8 fields. config_db.go:87-89 only checks `dbCfg.Features.DID.Method != \"\"` before replacing entire struct. No handling for VCRequirements (lines 171-179), Keystore (lines 182-189), or Authorization (lines 112-135).\n\n**\ud83d\udca1 Suggested Fix**\n\nEither handle DIDConfig fields individually (like ExecutionCleanup) or check for any non-zero DID field before replacing the struct. Ensure sub-structs (VCRequirements, Keystore, Authorization) are also considered.\n\n---\n*`Config Merge Completeness and Maintainability` \u00b7 confidence 90%*", + "line": 87, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] CORSConfig Partial Merge - Only AllowedOrigins Is Checked**\n\nThe CORSConfig struct has 5 fields, but `mergeDBConfig()` only checks `AllowedOrigins`. If the DB config specifies `AllowedMethods`, `AllowedHeaders`, `ExposedHeaders`, or `AllowCredentials` without `AllowedOrigins`, those settings are silently ignored.\n\n---\n\n> config.go:198-204 defines CORSConfig with 5 fields (AllowedOrigins, AllowedMethods, AllowedHeaders, ExposedHeaders, AllowCredentials). config_db.go:95-97 only checks `len(dbCfg.API.CORS.AllowedOrigins) > 0`.\n\n**\ud83d\udca1 Suggested Fix**\n\nExpand the condition to check for any non-zero CORS field: `len(dbCfg.API.CORS.AllowedOrigins) > 0 || len(dbCfg.API.CORS.AllowedMethods) > 0 || ...` or check each field individually.\n\n---\n*`Config Merge Completeness and Maintainability` \u00b7 confidence 90%*", + "line": 95, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Partial Config Merge - Many Config Fields Silently Ignored from DB**\n\nThe `mergeDBConfig()` function only handles a subset of configuration fields, causing **silent data loss** when config is loaded from the database. Users storing complete config in the DB will find that most fields are ignored without warning.\n\n**Fields that ARE merged (minimal subset):**\n- `AgentField.Port`\n- `AgentField.NodeHealth.CheckInterval` (only this one field - other NodeHealth fields ignored)\n- `AgentField.ExecutionCleanup` (all 6 fields merged individually)\n- `AgentField.Approval` (both fields)\n- `Features.DID.Method` (entire struct replaced if Method is set)\n- `API.CORS` (only if AllowedOrigins has items)\n- `UI` (entire struct replaced if Mode is set)\n\n**Fields NOT merged from DB (will be silently ignored):**\n\n**ExecutionQueueConfig (lines 72-78 in config.go):**\n- `AgentField.ExecutionQueue.AgentCallTimeout`\n- `AgentField.ExecutionQueue.WebhookTimeout`\n- `AgentField.ExecutionQueue.WebhookMaxAttempts`\n- `AgentField.ExecutionQueue.WebhookRetryBackoff`\n- `AgentField.ExecutionQueue.WebhookMaxRetryBackoff`\n\n**NodeHealthConfig (lines 54-59 in config.go):**\n- `AgentField.NodeHealth.CheckTimeout`\n- `AgentField.NodeHealth.ConsecutiveFailures`\n- `AgentField.NodeHealth.RecoveryDebounce`\n- `AgentField.NodeHealth.HeartbeatStaleThreshold`\n\n**DIDConfig (lines 100-109 in config.go):**\n- `Features.DID.Enabled`\n- `Features.DID.KeyAlgorithm`\n- `Features.DID.DerivationMethod`\n- `Features.DID.KeyRotationDays`\n\n**VCRequirements (lines 171-179 in config.go):**\n- `Features.DID.VCRequirements.RequireVCForRegistration`\n- `Features.DID.VCRequirements.RequireVCForExecution`\n- `Features.DID.VCRequirements.RequireVCForCrossAgent`\n- `Features.DID.VCRequirements.StoreInputOutput`\n- `Features.DID.VCRequirements.HashSensitiveData`\n- `Features.DID.VCRequirements.PersistExecutionVC`\n- `Features.DID.VCRequirements.StorageMode`\n\n**KeystoreConfig (lines 182-189 in config.go):**\n- `Features.DID.Keystore.Type`\n- `Features.DID.Keystore.Path`\n- `Features.DID.Keystore.Encryption`\n- `Features.DID.Keystore.EncryptionPassphrase`\n- `Features.DID.Keystore.BackupEnabled`\n- `Features.DID.Keystore.BackupInterval`\n\n**AuthorizationConfig (lines 112-135 in config.go):**\n- `Features.DID.Authorization.Enabled`\n- `Features.DID.Authorization.DIDAuthEnabled`\n- `Features.DID.Authorization.Domain`\n- `Features.DID.Authorization.TimestampWindowSeconds`\n- `Features.DID.Authorization.DefaultApprovalDurationHours`\n- `Features.DID.Authorization.AdminToken`\n- `Features.DID.Authorization.InternalToken`\n- `Features.DID.Authorization.TagApprovalRules` (all subfields)\n- `Features.DID.Authorization.AccessPolicies` (all subfields)\n\n**CORSConfig partial (lines 198-204 in config.go):**\n- `API.CORS.AllowedMethods` (not merged even if DB has values)\n- `API.CORS.AllowedHeaders` (not merged even if DB has values)\n- `API.CORS.ExposedHeaders` (not merged even if DB has values)\n- `API.CORS.AllowCredentials` (not merged even if DB has values)\n\nThis is a **semantic drift hazard** - future developers adding new config fields will almost certainly forget to update `mergeDBConfig()`, causing silent failures where DB config values are ignored.\n\n---\n\n> mergeDBConfig() at config_db.go:54-102 only has merge logic for:\n> - AgentField.Port (line 56-58)\n> - AgentField.NodeHealth.CheckInterval (line 59-61)\n> - AgentField.ExecutionCleanup.* (lines 63-81)\n> - AgentField.Approval (lines 82-84)\n> - Features.DID.Method (lines 87-89)\n> - API.CORS.AllowedOrigins (lines 95-97)\n> - UI.Mode (lines 100-102)\n> \n> config.go shows many additional fields in AgentFieldConfig (ExecutionQueue), DIDConfig (Enabled, KeyAlgorithm, DerivationMethod, KeyRotationDays, VCRequirements, Keystore, Authorization), and CORSConfig (AllowedMethods, AllowedHeaders, ExposedHeaders, AllowCredentials) that have no corresponding merge logic.\n\n**\ud83d\udca1 Suggested Fix**\n\nReplace the manual field-by-field merge with a generic deep-merge approach using reflection or a library like `mergo`. Alternatively, use a whitelist approach with explicit validation that fails if unknown fields are present in the DB config. At minimum, add a comment at the top of Config struct in config.go warning developers that new fields must be added to mergeDBConfig().\n\n---\n*`Config Merge Completeness and Maintainability` \u00b7 confidence 95%*", + "line": 54, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] SetConfig accepts invalid YAML without validation, causing delayed startup failures**\n\nThe `SetConfig` handler at `control-plane/internal/handlers/config_storage.go:67-78` accepts raw YAML via `io.ReadAll()` and stores it directly to the database without any validation. Only basic checks are performed (empty body at line 75-77), but **no YAML syntax validation** or **schema validation** occurs.\n\n**The Attack Scenario:**\n1. Attacker with API access calls `PUT /api/v1/configs/agentfield.yaml` with malformed YAML (e.g., invalid indentation, invalid types, or non-existent fields)\n2. Handler accepts and stores it successfully (line 85: `h.storage.SetConfig()`)\n3. Server continues running normally with current config\n4. On next restart with `AGENTFIELD_CONFIG_SOURCE=db`, `overlayDBConfig()` attempts to parse the invalid YAML at `config_db.go:37`\n5. `yaml.Unmarshal()` fails, returning an error\n6. At `server.go:109-110`, this error only prints a warning and the server continues with file/env config\n7. **Result**: Expected DB config is silently ignored, potentially causing production downtime or configuration drift\n\n**Why This Matters:**\n- In production environments using `AGENTFIELD_CONFIG_SOURCE=db`, operators expect the database to be the source of truth\n- Invalid config only surfaces during restart, which may be delayed hours/days after the bad config was stored\n- The silent fallback to file config can mask critical misconfigurations and cause cluster inconsistency\n\n---\n\n> Step 1: Client calls `PUT /api/v1/configs/:key` endpoint at `config_storage.go:67`\n> Step 2: Handler reads body at line 70: `body, err := io.ReadAll(c.Request.Body)`\n> Step 3: Handler only checks `len(body) == 0` at lines 75-77 - no YAML validation\n> Step 4: Handler stores raw body to DB at line 85: `h.storage.SetConfig(c.Request.Context(), key, string(body), updatedBy)`\n> Step 5: On server restart with `AGENTFIELD_CONFIG_SOURCE=db`, `NewAgentFieldServer()` calls `overlayDBConfig(cfg, storageProvider)` at `server.go:108-109`\n> Step 6: `overlayDBConfig()` calls `yaml.Unmarshal([]byte(entry.Value), &dbCfg)` at `config_db.go:37`\n> Step 7: If YAML is malformed, error is returned: `fmt.Errorf(\"failed to parse database config YAML: %w\", err)`\n> Step 8: At `server.go:109-110`, error is only logged as warning: `fmt.Printf(\"Warning: failed to load config from database: %v\\n\", err)`\n> Step 9: Server continues startup with potentially stale file/env config instead of expected DB config\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd YAML validation in `SetConfig` handler before storing to database:\n\n1. **Immediate fix**: After reading body at line 70, validate it's valid YAML:\n```go\n// Validate YAML syntax\nvar yamlTest map[string]interface{}\nif err := yaml.Unmarshal(body, &yamlTest); err != nil {\n c.JSON(http.StatusBadRequest, gin.H{\"error\": \"invalid YAML syntax\", \"details\": err.Error()})\n return\n}\n```\n\n2. **Stronger validation**: Parse into actual Config struct to catch type mismatches:\n```go\nvar cfgTest config.Config\nif err := yaml.Unmarshal(body, &cfgTest); err != nil {\n c.JSON(http.StatusBadRequest, gin.H{\"error\": \"invalid config schema\", \"details\": err.Error()})\n return\n}\n```\n\n3. **Consider dry-run reload**: If `reloadFn` is available, attempt a config reload with the new YAML before persisting to catch runtime issues.\n\n---\n*`Config Storage Validation Gap` \u00b7 confidence 95%*", + "line": 67, + "path": "control-plane/internal/handlers/config_storage.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Missing ON UPDATE trigger for updated_at timestamp**\n\nThe migration sets `DEFAULT NOW()` for both `created_at` and `updated_at`, but lacks a database-level trigger to automatically update `updated_at` on row modification. While the Go implementation in `local.go` explicitly sets `updated_at` during upserts, this creates a risk for:\n\n1. Direct database updates via SQL console or admin tools won't update the timestamp\n2. Future code that uses GORM's generic Update() instead of the custom SetConfig() will fail to update the timestamp\n3. Data migration scripts or external tools won't maintain audit trail accuracy\n\n**Related risk**: The GORM model uses `autoUpdateTime` tag (models.go:487) which GORM handles automatically, but the storage layer bypasses GORM with raw SQL, creating inconsistency in behavior.\n\n---\n\n> Step 1: Migration line 11: `updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()` - only sets on INSERT\n> Step 2: No `ON UPDATE` trigger or `GENERATED ALWAYS AS` clause present\n> Step 3: GORM model line 487 uses `autoUpdateTime` but storage implementation bypasses GORM\n> Step 4: local.go:5138-5160 uses raw SQL upsert which manually sets updated_at\n> Step 5: If someone uses GORM db.Save(&model) directly, updated_at won't update due to schema limitation\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd database-level trigger to auto-update `updated_at` on any row modification:\n```sql\nCREATE OR REPLACE FUNCTION update_updated_at_column()\nRETURNS TRIGGER AS $$\nBEGIN\n NEW.updated_at = NOW();\n RETURN NEW;\nEND;\n$$ language 'plpgsql';\n\nCREATE TRIGGER update_config_storage_updated_at\n BEFORE UPDATE ON config_storage\n FOR EACH ROW\n EXECUTE FUNCTION update_updated_at_column();\n```\n\n---\n*`Coverage Gap - Database Migration` \u00b7 confidence 85%*", + "line": 10, + "path": "control-plane/migrations/028_create_config_storage.sql", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] config_management capability enabled by default with write access**\n\nThe config_management capability is added with enabled: true and read_only: false by default. This creates a privilege escalation risk if the connector token is compromised. The risk: (1) Connector routes (server.go:1558-1578) allow config management via connector token. (2) The connector token is a single shared secret stored in config (line 132: token: test-connector-token-123). (3) If an attacker obtains the connector token (via log leak, config exposure, etc.), they can modify configuration via /api/v1/connector/configs/* routes, change security settings, disable auth, redirect storage, and escalate from connector access to full control plane compromise. Current protections: config_db.go intentionally skips merging connector config from DB (good), but attacker can still modify OTHER critical sections (DID auth, storage, features). The connector is designed for SaaS integration with limited scope, but config_management gives it effectively full control over the control plane configuration. This violates the principle of least privilege.\n\n---\n\n> Step 1: agentfield.yaml:149-151 sets config_management enabled=true, read_only=false. Step 2: server.go:1560 applies ConnectorTokenAuth to connector routes. Step 3: server.go:1574 applies ConnectorCapabilityCheck middleware. Step 4: config_storage.go:26-31 exposes full CRUD via RegisterRoutes. Step 5: Compromised connector token leads to ability to modify any config except connector section.\n\n**\ud83d\udca1 Suggested Fix**\n\nChange the default to enabled: false or at minimum read_only: true. Example: config_management: enabled: false (users must explicitly enable after understanding risks), read_only: true (or enable but restrict to read-only by default). Alternatively, require explicit opt-in via environment variable for write access.\n\n---\n*`Coverage Gap Review - agentfield.yaml config_management capability` \u00b7 confidence 85%*", + "line": 149, + "path": "control-plane/config/agentfield.yaml", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] key column uses TEXT type without length limit or validation**\n\nThe `key` column is defined as `TEXT NOT NULL UNIQUE` without any length constraint or validation pattern. While this provides flexibility, it allows insertion of extremely large keys (up to 1GB in PostgreSQL) which could cause:\n\n1. **Performance issues**: Index `idx_config_storage_key` on large TEXT values increases storage and lookup overhead\n2. **API abuse**: Malicious actors could create configs with multi-MB keys causing DoS\n3. **UI/display issues**: The web UI and logs may truncate or fail to display extremely long keys\n4. **Storage waste**: Index entries for large text consume significant disk space\n\n**Context**: The primary use case is `agentfield.yaml` as the config key (as seen in config_db.go:13), which is short and predictable. There's no business requirement for arbitrary-length keys.\n\n---\n\n> Step 1: Migration line 5 defines `key TEXT NOT NULL UNIQUE`\n> Step 2: No CHECK constraint or length validation present\n> Step 3: Index at line 14 `idx_config_storage_key` will index full TEXT values\n> Step 4: config_db.go:13 shows expected key is `agentfield.yaml` (14 chars)\n> Step 5: config_storage.go handlers accept arbitrary key strings from URL path\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd length constraint to key column:\n```sql\n-- Add to migration\nkey VARCHAR(255) NOT NULL UNIQUE CHECK (LENGTH(key) > 0 AND LENGTH(key) <= 255)\n```\nOr add validation at application layer in SetConfig handler before storage call.\n\n---\n*`Coverage Gap - Database Migration` \u00b7 confidence 80%*", + "line": 5, + "path": "control-plane/migrations/028_create_config_storage.sql", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] INCONSISTENT ERROR HANDLING: GetConfig returns nil on 'not found' but storage.go contract is unclear**\n\nThe `GetConfig` method at line 5186-5187 returns `nil, nil` when config is not found, using string comparison `err.Error() == \"sql: no rows in result set\"` instead of the standard `errors.Is(err, sql.ErrNoRows)`.\n\n**Issues:**\n1. **Fragile error detection**: String comparison instead of `errors.Is()` may fail with different drivers or wrapped errors\n2. **Silent failures**: The handler in `config_storage.go` calls `GetConfig` after `SetConfig` to return saved state. If this call returns `nil, nil` (due to race condition where config was deleted between insert and select), the handler returns 500 with misleading error even though SetConfig succeeded.\n\nThis creates the scenario mentioned in the PR context: \"Error handling inconsistency: SetConfig calls storage.SetConfig(), then immediately calls storage.GetConfig() to return saved entry. If GetConfig fails, handler returns 500 error even though config WAS saved successfully\"\n\n---\n\n> Step 1: Handler calls `storage.SetConfig()` successfully\n> Step 2: Handler immediately calls `storage.GetConfig()` at config_storage.go:91-94\n> Step 3: If GetConfig returns `nil, nil` (not found), handler checks `if err != nil` only\n> Step 4: Handler proceeds with `nil` entry causing nil pointer dereference or returns incorrect response\n> Step 5: Client receives 500 error despite config being successfully saved\n\n**\ud83d\udca1 Suggested Fix**\n\n1. Use `errors.Is(err, sql.ErrNoRows)` instead of string comparison at line 5186\n2. Consider returning a typed error like `ErrConfigNotFound` for missing configs\n3. Document in the `StorageProvider` interface what callers should expect for 'not found' cases\n\n---\n*`storage layer - ConfigStorageModel versioning and SetConfig implementation` \u00b7 confidence 75%*", + "line": 5164, + "path": "control-plane/internal/storage/local.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Inconsistent Security Field Handling - DID.Authorization Omitted Without Comment**\n\nWhile the code correctly excludes `Connector` config (token, capabilities) from DB merge with a clear security comment (lines 90-92), it also silently omits `Features.DID.Authorization` which contains equally security-sensitive fields like `AdminToken`, `InternalToken`, `AccessPolicies`, and `DIDAuthEnabled` (config.go:111-135).\n\nThe DID Authorization struct contains:\n- `AdminToken` - Separate token for admin operations\n- `InternalToken` - Used for Authorization: Bearer header to agents\n- `Domain` - Domain for did:web identifiers\n- `AccessPolicies` - Tag-based authorization policies\n\nThese fields are **not merged from DB** despite being security-relevant, but unlike the Connector exclusion, there's no explanatory comment. This inconsistency makes it unclear whether the omission is intentional (security) or accidental (incomplete implementation).\n\n---\n\n> Step 1: DIDConfig.Authorization struct at config.go:111-135 defines security-sensitive fields: AdminToken, InternalToken, AccessPolicies, DIDAuthEnabled.\n> Step 2: mergeDBConfig only checks dbCfg.Features.DID.Method at line 87, then assigns entire DID struct.\n> Step 3: DID.Authorization is part of DID struct but never specifically handled - it would be zeroed if only Method is set, or copied wholesale if any Method is set.\n> Step 4: No security comment explains why these sensitive fields are treated differently from Connector config.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd an explicit comment explaining why DID.Authorization fields are excluded from DB merge, similar to the Connector comment:\n\n```go\n// NOTE: DID.Authorization config (admin_token, internal_token, access_policies) is\n// intentionally NOT merged from DB for security, similar to connector config.\n// Only DID.Method is merged as it affects VC generation behavior.\n```\n\n---\n*`Partial Config Merge Maintenance Hazard` \u00b7 confidence 85%*", + "line": 86, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] No Automated Sync Check Between Config Struct and Merge Function**\n\nThere is no automated mechanism (build-time check, code generation, or test) to ensure that `mergeDBConfig()` stays synchronized with the `Config` struct definition. When new fields are added to `config.Config`, developers must manually remember to update `mergeDBConfig()` in a different file. This is a classic source of drift bugs.\n\n---\n\n> mergeDBConfig() comment at line 52-53 states 'selectively merges' but provides no mechanism to ensure completeness. The function and Config struct are in separate files (config_db.go vs config.go) increasing the likelihood of drift.\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider adding a build tag or go:generate directive that uses reflection to verify all exported fields in Config have corresponding merge logic. Alternatively, add a unit test that uses reflection to compare the Config struct fields against known merged fields and fails if new fields are detected without test coverage in mergeDBConfig.\n\n---\n*`Config Merge Completeness and Maintainability` \u00b7 confidence 85%*", + "line": 52, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] Missing TODO/FIXME Comment Warning About Maintenance Burden**\n\nThe function comment at lines 52-53 describes what the function does but does not warn maintainers that this function must be updated whenever new config fields are added. The field-by-field merge approach creates a **compile-time blind spot** - the code compiles successfully even when Config struct has fields not handled here.\n\nA maintainer adding a new field to `Config` struct will have no indication that they also need to add handling here unless they happen to read this file. This is exactly the type of issue that caused the ExecutionCleanup bug requiring the a8bfc8c fix commit.\n\n---\n\n> Step 1: Function comment at lines 52-53 says 'selectively merges' and 'Only non-zero/non-empty values' but gives no warning about the maintenance requirement.\n> Step 2: Config struct has 15+ fields/sub-structs (config.go:17-23, 34-41, etc.).\n> Step 3: mergeDBConfig handles only 7 specific field paths (Port, NodeHealth.CheckInterval, ExecutionCleanup.*, Approval, DID.Method, API.CORS, UI).\n> Step 4: No compile-time or comment-based guard exists to warn when Config grows but mergeDBConfig doesn't.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd a prominent TODO/FIXME comment at the top of mergeDBConfig:\n\n```go\n// TODO: This function must be updated when adding new config fields.\n// Currently missing: ExecutionQueue, NodeHealth (partial), DID.Authorization,\n// DID.VCRequirements, DID.Keystore, API.Auth, UI.Enabled, etc.\n// Consider using reflection-based merging with struct tags to avoid\n// this maintenance burden (see also: viper's automatic config merging).\n```\n\n---\n*`Partial Config Merge Maintenance Hazard` \u00b7 confidence 80%*", + "line": 52, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] AMBIGUOUS NULL HANDLING: COALESCE converts NULL to empty string losing audit information**\n\nIn `GetConfig` (lines 5180-5184), the SQL uses `COALESCE(created_by, '')` and `COALESCE(updated_by, '')` to handle NULL values.\n\n**Issues:**\n1. **Loss of semantic meaning**: Empty string `\"\"` and NULL have different meanings - NULL means \"unknown/system\" while empty string could mean \"intentionally blank\"\n2. **Inconsistent with model**: `ConfigStorageModel` uses `*string` pointers for these fields indicating they can be NULL\n3. **ConfigEntry uses non-pointer**: The `ConfigEntry` struct in storage.go:30-38 uses plain `string` not `*string`, forcing the COALESCE\n\nThis makes it impossible to distinguish between \"created by system (NULL)\" and \"created by user with empty name (empty string)\".\n\n---\n\n> storage.go:30-38 defines ConfigEntry with `CreatedBy string` and `UpdatedBy string` (no pointers)\n> \n> local.go:5180-5181 uses `COALESCE(created_by, '')` and `COALESCE(updated_by, '')` to handle NULLs because ConfigEntry can't hold NULL\n> \n> models.go:484-485 defines `CreatedBy *string` and `UpdatedBy *string` as pointers in the model\n\n**\ud83d\udca1 Suggested Fix**\n\nChange `ConfigEntry` to use `*string` for `CreatedBy` and `UpdatedBy`:\n```go\ntype ConfigEntry struct {\n Key string `json:\"key\"`\n Value string `json:\"value\"`\n Version int `json:\"version\"`\n CreatedBy *string `json:\"created_by,omitempty\"` // Use pointer\n UpdatedBy *string `json:\"updated_by,omitempty\"` // Use pointer\n CreatedAt time.Time `json:\"created_at\"`\n UpdatedAt time.Time `json:\"updated_at\"`\n}\n```\n\nRemove COALESCE from SQL and scan directly into pointer fields.\n\n---\n*`storage layer - ConfigStorageModel versioning and SetConfig implementation` \u00b7 confidence 70%*", + "line": 5179, + "path": "control-plane/internal/storage/local.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] created_by/updated_by lack referential integrity constraints**\n\nThe `created_by` and `updated_by` columns are defined as nullable TEXT without foreign key constraints or validation. This design allows arbitrary strings that may not correspond to actual users in the system, making the audit trail unreliable.\n\n**Trade-offs**: Adding FK constraints to a users table would require that table to exist and be populated, which may not be true in all deployment scenarios (e.g., API-only authentication). However, even without FK constraints, the application should validate these values against authenticated principals.\n\n---\n\n> Step 1: Migration lines 8-9: `created_by TEXT` and `updated_by TEXT` - no constraints\n> Step 2: GORM model lines 484-485 uses `*string` pointers allowing NULL\n> Step 3: config_storage.go:76-78 extracts `updatedBy` from context but has no validation\n> Step 4: No users/agents table reference exists to validate against\n\n**\ud83d\udca1 Suggested Fix**\n\nConsider either:\n1. Add CHECK constraint to validate format (e.g., must be valid UUID or email)\n2. Document that application layer must validate principals before storage\n3. Add comment explaining audit trail limitations for external tools\n\n---\n*`Coverage Gap - Database Migration` \u00b7 confidence 65%*", + "line": 8, + "path": "control-plane/migrations/028_create_config_storage.sql", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd35 **[SUGGESTION] MISSING DATABASE CONSTRAINTS: ConfigStorageModel lacks validation for key format**\n\nThe `ConfigStorageModel` struct defines a `key` field with `uniqueIndex` but no constraints on key format, length, or allowed characters.\n\n**Potential issues:**\n1. Empty string keys allowed (no `NOT NULL` constraint validation at struct level)\n2. No maximum length enforcement\n3. No validation that keys follow expected naming conventions (e.g., no path traversal characters like `../` or `..\\`)\n\nWhile the API layer may validate, defense-in-depth suggests the storage layer should also enforce constraints.\n\n---\n\n> models.go:479-488 shows ConfigStorageModel with `gorm:\"column:key;not null;uniqueIndex\"` - the `not null` is present but there's no size limit or format validation\n> \n> local.go:5129-5161 SetConfig accepts any key string and passes directly to SQL without validation\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd GORM validation tags and constraints:\n```go\ntype ConfigStorageModel struct {\n ID int64 `gorm:\"column:id;primaryKey;autoIncrement\"`\n Key string `gorm:\"column:key;not null;uniqueIndex;size:255\"` // Add NOT NULL and size limit\n Value string `gorm:\"column:value;type:text;not null\"`\n // ...\n}\n```\n\nConsider adding application-level validation in `SetConfig` to reject keys containing path separators or control characters.\n\n---\n*`storage layer - ConfigStorageModel versioning and SetConfig implementation` \u00b7 confidence 60%*", + "line": 476, + "path": "control-plane/internal/storage/models.go", + "side": "RIGHT" + }, + { + "body": "\u26aa **[NITPICK] Important: configMu mutex is declared but NEVER used anywhere**\n\nThe `configMu sync.RWMutex` field is declared in the AgentFieldServer struct at line 82, but there are **zero** usages of this mutex in the entire file.\n\nSearch results for 'configMu':\n- Line 82: Declaration only\n- NO calls to configMu.Lock()\n- NO calls to configMu.Unlock()\n- NO calls to configMu.RLock()\n- NO calls to configMu.RUnlock()\n\nThe mutex was added to the struct but never actually locked or unlocked. This makes it completely ineffective for preventing data races.\n\n---\n\n> Step 1: grep for 'configMu' in server.go shows only line 82 (declaration)\n> Step 2: No Lock(), Unlock(), RLock(), or RUnlock() calls found\n> Step 3: The mutex exists but provides zero protection\n> Step 4: This indicates incomplete implementation of the thread-safety feature\n\n**\ud83d\udca1 Suggested Fix**\n\nEither:\n1. Add proper mutex protection around all config reads and writes (configMu.Lock() in configReloadFn, configMu.RLock() in goroutines that read config)\n2. OR remove the unused field if config reloading isn't meant to be thread-safe\n\nRecommended approach: Add RLock() around config reads in background goroutines like healthMonitor, presenceManager, etc.\n\n---\n*`Thread Safety - Config Reload Mutex` \u00b7 confidence 99%*", + "line": 82, + "path": "control-plane/internal/server/server.go", + "side": "RIGHT" + } + ], + "event": "REQUEST_CHANGES" + }, + "review_id": "rev_5795c21d6bdd", + "summary": { + "adversary_challenged": 3, + "adversary_confirmed": 13, + "ai_generated_confidence": 0.6666666666666666, + "budget_exhausted": true, + "by_severity": { + "critical": 7, + "important": 11, + "nitpick": 1, + "suggestion": 6 + }, + "cost_usd": 0, + "coverage_iterations": 1, + "cross_ref_interactions": 8, + "dimensions_run": 6, + "duration_seconds": 2608.64, + "total_findings": 25 + } +} \ No newline at end of file From feb663358c082e1e3de3b37034362fb299e2c749 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 20:18:42 +0530 Subject: [PATCH 10/62] feat: current version with compound analysis and deduplication - Implemented Parallel Compound Analysis to discover novel attack chains - Replaced old logic entirely - Added a dedup phase for the newly discovered compound findings - Adjusted Docker health checks to prevent timeouts under parallel load - Added EVALUATION.md documenting PR-AF improvements vs Claude Code baseline --- benchmark/agentfield-254/EVALUATION.md | 90 ++ .../pr-af-result-kimi-compound.json | 1036 +++++++++++++++++ docker-compose.yml | 8 +- src/pr_af/orchestrator.py | 251 +++- src/pr_af/reasoners/harnesses.py | 198 +++- src/pr_af/schemas/output.py | 5 +- src/pr_af/scoring.py | 20 +- 7 files changed, 1487 insertions(+), 121 deletions(-) create mode 100644 benchmark/agentfield-254/EVALUATION.md create mode 100644 benchmark/agentfield-254/pr-af-result-kimi-compound.json diff --git a/benchmark/agentfield-254/EVALUATION.md b/benchmark/agentfield-254/EVALUATION.md new file mode 100644 index 0000000..30737eb --- /dev/null +++ b/benchmark/agentfield-254/EVALUATION.md @@ -0,0 +1,90 @@ +# PR-AF Architecture Progression & Evaluation +## Target: AgentField PR #254 (Config Storage Migration) + +**Evaluation Date**: 2026-03-11 +**Systems Compared**: PR-AF (Current Version, Kimi k2.5) vs. Claude Code (Single-agent baseline) +**Goal**: To document the architectural improvements made to PR-AF and demonstrate how composite multi-agent reasoning out-performs a single-agent baseline like Claude Code in depth, precision, and systemic insight. + +--- + +## 1. Executive Summary + +This document evaluates the current version of **PR-AF (Pull Request Agent Field)** against a standard single-agent approach (**Claude Code**). The target is AgentField PR #254, a complex 28-file migration from local JSON config to a SQLite-backed storage model. + +The core finding is that **multi-agent composite reasoning (PR-AF) discovers critical systemic vulnerabilities and compound attack chains that a single agent (Claude Code) cannot perceive.** + +While Claude Code successfully catches surface-level mechanical errors (missing parameters, unused variables) in seconds for ~$0.50, PR-AF acts as a deep architectural auditor. Through its progression of architectural improvements—culminating in a Hybrid Evidence Grounding layer and Parallel Compound Analysis—PR-AF achieved a **0% false positive rate** while synthesizing a multi-vector authentication bypass chain that would result in complete system compromise. + +### High-Level Comparison (Current Version vs. CC) + +| Metric | Claude Code | PR-AF (Current Version) | +|---|---|---| +| **Architecture** | Single-agent, fast context window | 8-Phase Multi-Agent DAG | +| **Duration** | ~5-10 minutes | ~45-50 minutes | +| **Cost** | ~$0.50 - $2.00 | ~$0 (opencode / OSS models) | +| **Surface Bugs Caught**| Yes (e.g., interface mismatches) | Yes | +| **Systemic Flaws** | Missed | **Found** (inconsistent protection) | +| **Compound Risks** | Missed | **Found** (coordinated config injection) | +| **False Positive Rate**| High (relies on assumptions) | **0%** (via Evidence Verifier) | + +--- + +## 2. The PR-AF Architectural Journey + +To understand why the Current Version performs so well, we must trace the improvements made to the PR-AF pipeline. We ran 4 successive iterations of the pipeline against the exact same PR to measure the impact of each architectural upgrade. + +### Run 1: The Baseline (Sonnet 4.6) +* **Architecture:** Basic Intake → Anatomy → Review Dimensions (no deep context) → Cross-Ref Scoring → Synthesis. +* **Result:** 20 findings, 3 critical, ~35 minutes. +* **Flaw:** High false positive rate (~10%). The agents relied on the diff text and guessed how it interacted with the wider repo, leading to hallucinated claims about error handling. + +### Run 2: Enriched Context (Kimi k2.5) +* **Improvement:** Replaced static prompts with **Investigative Prompts**. The harness was explicitly instructed to browse the repository (`cwd=repo_path`), read imports, and verify function signatures before writing findings. +* **Result:** 25 findings, 8 critical, ~40 minutes. +* **Flaw:** Signal rate improved to 88%, but false positives still existed (4%). Agents were *told* to investigate, but LLMs are lazy—they often relied on assumptions instead of actually grepping the repo. + +### Run 3: Hybrid Evidence Grounding Layer +* **Improvement:** Introduced the **HUNT → PROVE** adversarial tension. We added a programmatic extraction layer (using fast Python AST parsing) to pull exact caller snippets, import contexts, and cross-references. We fed this raw data into an **Evidence Verifier** harness, forcing it to falsify claims that lacked concrete proof. +* **Result:** 25 findings, 7 critical, ~43 minutes. +* **Impact:** **False Positive Rate dropped to 0%.** The verifier correctly dropped assumptions that couldn't be backed up by the extracted code snippets. + +### Run 4: Current Version (Compound Analysis & Dedup) +* **Improvement:** The original `cross_ref` phase was a naive scoring multiplier that wasted 34% of the pipeline time (16 minutes) without changing any finding rankings. We replaced it with **Parallel Compound Analysis**. The system groups related findings into clusters (by file, import, caller, or tag) and spawns parallel investigators to see if the combination of minor bugs creates a major exploit. A final `compound_dedup_phase` collapses duplicate insights. +* **Result:** 17 findings, 13 critical. Cross-ref time reduced from 16m → 5m. +* **Impact:** Discovered **3 genuinely novel, critical insights** (see Section 3) that no individual reviewer agent found. + +--- + +## 3. The Power of Compound Analysis + +The most significant differentiator between PR-AF and Claude Code is the **Phase 5.5: Compound Analysis**. + +In PR #254, individual reviewers found several isolated issues in `config_db.go`: +1. `AdminToken` can be overridden from the database. +2. `APIKey` lacks protection from database merge. +3. `WebhookSecret` is merged blindly from the database. + +A single agent (Claude Code) sees these as three separate, medium-severity bugs ("Hey, you forgot to protect this field"). + +The **PR-AF Compound Analyzer** was handed this cluster of findings along with their evidence. It recognized the systemic pattern and synthesized a **first-class critical finding**: + +> **Complete System Compromise via Coordinated DB Config Injection** +> *Severity: Critical | Score: 1.104* +> The combination of multiple unprotected security-sensitive fields in the DB config merge logic creates a complete authentication and authorization bypass chain. An attacker with database write access can simultaneously inject malicious values for: (1) DID Authorization tokens, (2) API Keys, and (3) Webhook secrets. This is not an isolated missing validation, but a systemic control gap where the protection pattern applied to the `Storage` config was neglected across all authentication vectors. + +Claude Code cannot make this leap because it lacks the architectural design to group, step back, and re-evaluate findings in relation to one another. + +--- + +## 4. PR-AF Current Version vs. Claude Code (CC) + +### Depth vs. Speed +* **Claude Code** is exceptional for the "inner loop" of development. If an engineer forgets a parameter or misnames a variable, CC finds it in seconds and fixes it inline. +* **PR-AF** is designed for the "outer loop" (the CI/CD gate). It takes 45 minutes because it performs exhaustive, multi-dimensional analysis (Semantic, Mechanical, Systemic), programmatic evidence extraction, and adversarial challenges. + +### Precision (False Positives) +* **Claude Code** relies on its context window. If a referenced function isn't in the window, it guesses based on naming conventions. This creates false positives that human reviewers have to dismiss. +* **PR-AF** uses an **Evidence Grounding Layer**. If a semantic reviewer claims a bug exists, the extraction engine pulls the exact AST node, and the Verifier tests the claim. In our benchmarks, PR-AF's current version achieved a 0% false positive rate on PR #254. + +### The Verdict +Our multi-reasoner architecture proves that **intelligence is in the composition, not just the model**. By structuring the workflow into parallel hunters, programmatic evidence extraction, adversarial verification, and compound synthesis, PR-AF transforms an average LLM into a senior architectural auditor. diff --git a/benchmark/agentfield-254/pr-af-result-kimi-compound.json b/benchmark/agentfield-254/pr-af-result-kimi-compound.json new file mode 100644 index 0000000..2eb6376 --- /dev/null +++ b/benchmark/agentfield-254/pr-af-result-kimi-compound.json @@ -0,0 +1,1036 @@ +{ + "findings": [ + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The MockStorageProvider in execute_test.go has the old method signatures for SetConfig and GetConfig that don't match the updated StorageProvider interface. The methods are missing the `updatedBy` parameter in SetConfig and return `interface{}` instead of `*storage.ConfigEntry` for GetConfig. Additionally, the mock is missing the new required methods ListConfigs and DeleteConfig.", + "confidence": 1, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "mock-storage-provider-interface-compliance", + "dimension_name": "MockStorageProvider Interface Compliance", + "evidence": "Step 1: The StorageProvider interface at control-plane/internal/storage/storage.go:133-136 defines:\n - SetConfig(ctx context.Context, key string, value string, updatedBy string) error\n - GetConfig(ctx context.Context, key string) (*ConfigEntry, error)\n - ListConfigs(ctx context.Context) ([]*ConfigEntry, error)\n - DeleteConfig(ctx context.Context, key string) error\n\nStep 2: MockStorageProvider at lines 173-178 has old signatures:\n - SetConfig(ctx context.Context, key string, value interface{}) error\n - GetConfig(ctx context.Context, key string) (interface{}, error)\n - Missing: ListConfigs method\n - Missing: DeleteConfig method\n\nStep 3: This causes compilation failure when running `go build ./...` because the mock doesn't implement the interface.", + "file_path": "control-plane/internal/handlers/execute_test.go", + "id": "f_009", + "line_end": 178, + "line_start": 173, + "score": 1.2, + "severity": "critical", + "suggestion": "Update MockStorageProvider in execute_test.go to match the new interface:\n1. Change SetConfig signature to: SetConfig(ctx context.Context, key string, value string, updatedBy string) error\n2. Change GetConfig signature to: GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error)\n3. Add ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) method\n4. Add DeleteConfig(ctx context.Context, key string) error method\n5. Add import for \"github.com/Agent-Field/agentfield/control-plane/internal/storage\" to access ConfigEntry type", + "tags": [ + "compilation-error", + "interface-mismatch", + "mock-fix" + ], + "title": "MockStorageProvider SetConfig and GetConfig have outdated signatures" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The MockStorageProvider.GetConfig method references `*storage.ConfigEntry` but the storage package is not imported in execute_test.go. This will cause a **compile-time error**: `undefined: storage`.\n\nWhile the GetConfig signature is correct (`*storage.ConfigEntry, error`), the lack of import makes the type reference invalid.", + "confidence": 0.98, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "mock-getconfig-type-compliance", + "dimension_name": "MockStorageProvider GetConfig Type Compliance", + "evidence": "Step 1: execute_test.go lines 176-178 define `func (m *MockStorageProvider) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error)`\nStep 2: File imports (lines 1-20) show no storage package import - only types, gin, and testify packages\nStep 3: `storage.ConfigEntry` is undefined without the import\nStep 4: This causes compilation failure: `undefined: storage in storage.ConfigEntry`", + "file_path": "control-plane/internal/handlers/execute_test.go", + "id": "f_007", + "line_end": 178, + "line_start": 176, + "score": 1.176, + "severity": "critical", + "suggestion": "Add the storage package import to the import block:\n```go\nimport (\n \"bytes\"\n \"context\"\n \"encoding/json\"\n \"net/http\"\n \"net/http/httptest\"\n \"testing\"\n \"time\"\n\n \"github.com/Agent-Field/agentfield/control-plane/internal/storage\" // ADD THIS LINE\n \"github.com/Agent-Field/agentfield/control-plane/pkg/types\"\n\n \"github.com/gin-gonic/gin\"\n \"github.com/stretchr/testify/assert\"\n \"github.com/stretchr/testify/mock\"\n)\n```", + "tags": [ + "missing-import", + "undefined-type", + "compilation-error", + "mock" + ], + "title": "Missing storage import causes undefined type error" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `MockStorageProvider` in `config_test.go` has **outdated method signatures** that do not match the updated `StorageProvider` interface defined in `storage.go`. This will cause **compilation failures** when running tests.\n\n**Issues found:**\n\n1. **SetConfig signature mismatch** (line 289-292):\n - **Interface expects:** `SetConfig(ctx context.Context, key string, value string, updatedBy string) error`\n - **Mock has:** `SetConfig(ctx context.Context, key string, value interface{}) error`\n - **Missing:** The `updatedBy` parameter (4th parameter)\n - **Wrong type:** `value` should be `string`, not `interface{}`\n\n2. **GetConfig signature mismatch** (line 294-297):\n - **Interface expects:** `GetConfig(ctx context.Context, key string) (*ConfigEntry, error)`\n - **Mock has:** `GetConfig(ctx context.Context, key string) (interface{}, error)`\n - **Wrong return type:** Should return `*ConfigEntry`, not `interface{}`\n\n3. **Missing ListConfigs method**:\n - **Interface requires:** `ListConfigs(ctx context.Context) ([]*ConfigEntry, error)`\n - **Mock is missing this method entirely**\n\n4. **Missing DeleteConfig method**:\n - **Interface requires:** `DeleteConfig(ctx context.Context, key string) error`\n - **Mock is missing this method entirely**", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "mock-storage-provider-interface-compliance", + "dimension_name": "MockStorageProvider Interface Compliance", + "evidence": "Step 1: The StorageProvider interface in storage.go:133-136 defines:\n- SetConfig(ctx context.Context, key string, value string, updatedBy string) error\n- GetConfig(ctx context.Context, key string) (*ConfigEntry, error)\n- ListConfigs(ctx context.Context) ([]*ConfigEntry, error)\n- DeleteConfig(ctx context.Context, key string) error\n\nStep 2: The MockStorageProvider in config_test.go:289-292 has:\n- SetConfig(ctx context.Context, key string, value interface{}) error (WRONG: missing updatedBy, value type)\n\nStep 3: The MockStorageProvider in config_test.go:294-297 has:\n- GetConfig(ctx context.Context, key string) (interface{}, error) (WRONG: return type)\n\nStep 4: The MockStorageProvider is MISSING:\n- ListConfigs method\n- DeleteConfig method\n\nStep 5: This causes the MockStorageProvider to NOT implement the StorageProvider interface, resulting in compilation errors like:\n'*MockStorageProvider does not implement storage.StorageProvider (missing ListConfigs method)'\n'*MockStorageProvider does not implement storage.StorageProvider (wrong type for SetConfig method)'", + "file_path": "control-plane/internal/handlers/ui/config_test.go", + "id": "f_001", + "line_end": 297, + "line_start": 289, + "score": 1.14, + "severity": "critical", + "suggestion": "Update the MockStorageProvider to match the interface:\n\n1. Update SetConfig (lines 289-292):\n```go\nfunc (m *MockStorageProvider) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n args := m.Called(ctx, key, value, updatedBy)\n return args.Error(0)\n}\n```\n\n2. Update GetConfig (lines 294-297):\n```go\nfunc (m *MockStorageProvider) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error) {\n args := m.Called(ctx, key)\n if args.Get(0) == nil {\n return nil, args.Error(1)\n }\n return args.Get(0).(*storage.ConfigEntry), args.Error(1)\n}\n```\n\n3. Add ListConfigs method after line 297:\n```go\nfunc (m *MockStorageProvider) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n args := m.Called(ctx)\n if args.Get(0) == nil {\n return nil, args.Error(1)\n }\n return args.Get(0).([]*storage.ConfigEntry), args.Error(1)\n}\n```\n\n4. Add DeleteConfig method after that:\n```go\nfunc (m *MockStorageProvider) DeleteConfig(ctx context.Context, key string) error {\n args := m.Called(ctx, key)\n return args.Error(0)\n}\n```", + "tags": [ + "compilation-error", + "interface-mismatch", + "mock-update-required", + "go-build-failure" + ], + "title": "MockStorageProvider has outdated SetConfig and GetConfig signatures causing compilation failure" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `mergeDBConfig` function merges `Features.DID` as an entire struct when `dbCfg.Features.DID.Method != \"\"`. This is dangerous because `DIDConfig` contains security-sensitive authorization tokens (`AdminToken` and `InternalToken`).\n\n**The vulnerability:** If an attacker with database write access sets `features.did.method` to any non-empty value in the DB-stored config, the entire `DIDConfig` struct from the DB overwrites the file/env config, including:\n- `AdminToken`: Used for admin operations like tag approval and policy management\n- `InternalToken`: Used for internal authentication when forwarding execution requests to agents\n\n**Attack scenario:**\n1. Attacker gains DB write access\n2. Attacker inserts a malicious config via `PUT /api/v1/configs/agentfield.yaml` with `features.did.method: key` and `features.did.authorization.admin_token: attacker-controlled-token`\n3. On next server start or config reload, the attacker's token replaces the legitimate admin token\n4. Attacker can now authenticate as admin using their token\n\n**Expected behavior:** Similar to how `Storage` is preserved (lines 33, 45), security-sensitive tokens should be explicitly protected from DB override.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "security-field-protection", + "dimension_name": "Security-Sensitive Field Protection in DB Config Merge", + "evidence": "Step 1: config_db.go:87-89 checks `if dbCfg.Features.DID.Method != \"\"` and assigns entire `dbCfg.Features.DID` to `target.Features.DID`. Step 2: config.go:99-135 shows DIDConfig contains AuthorizationConfig with AdminToken (line 125) and InternalToken (line 129). Step 3: When DID struct is assigned, ALL fields including Authorization are overwritten. Step 4: This allows DB-stored tokens to replace file/env tokens, enabling privilege escalation.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_002", + "line_end": 89, + "line_start": 86, + "score": 1.14, + "severity": "critical", + "suggestion": "Change the DID merge logic to preserve `Authorization.AdminToken` and `Authorization.InternalToken` from the original config. Only merge non-sensitive fields like `Method`, `KeyAlgorithm`, etc. For example:\n\n```go\n// Save sensitive tokens before merge\nsavedAdminToken := target.Features.DID.Authorization.AdminToken\nsavedInternalToken := target.Features.DID.Authorization.InternalToken\n\nif dbCfg.Features.DID.Method != \"\" {\n target.Features.DID = dbCfg.Features.DID\n // Restore security-sensitive fields\n target.Features.DID.Authorization.AdminToken = savedAdminToken\n target.Features.DID.Authorization.InternalToken = savedInternalToken\n}\n```", + "tags": [ + "security", + "privilege-escalation", + "configuration", + "authorization" + ], + "title": "DID Authorization tokens (AdminToken/InternalToken) can be overridden from DB config" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The MockStorageProvider.GetConfig method in config_test.go returns `(interface{}, error)` but the StorageProvider interface defines it as `(*ConfigEntry, error)`. This is a type mismatch that will cause a **compile-time error** - the mock no longer implements the interface.\n\nThe mock must be updated to:\n1. Return `(*storage.ConfigEntry, error)` instead of `(interface{}, error)`\n2. Return `args.Get(0).(*storage.ConfigEntry)` with proper nil checking like other mock methods in the file", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "mock-getconfig-type-compliance", + "dimension_name": "MockStorageProvider GetConfig Type Compliance", + "evidence": "Step 1: StorageProvider interface in storage.go:134 defines `GetConfig(ctx context.Context, key string) (*ConfigEntry, error)`\nStep 2: MockStorageProvider in config_test.go:294-297 implements `GetConfig(ctx context.Context, key string) (interface{}, error)`\nStep 3: The return type mismatch means MockStorageProvider no longer satisfies the StorageProvider interface\nStep 4: Any test using this mock will fail to compile with: `MockStorageProvider does not implement StorageProvider (wrong type for GetConfig method)`", + "file_path": "control-plane/internal/handlers/ui/config_test.go", + "id": "f_006", + "line_end": 297, + "line_start": 294, + "score": 1.14, + "severity": "critical", + "suggestion": "Update the GetConfig method signature from:\n```go\nfunc (m *MockStorageProvider) GetConfig(ctx context.Context, key string) (interface{}, error) {\n args := m.Called(ctx, key)\n return args.Get(0), args.Error(1)\n}\n```\n\nTo:\n```go\nfunc (m *MockStorageProvider) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error) {\n args := m.Called(ctx, key)\n if args.Get(0) == nil {\n return nil, args.Error(1)\n }\n return args.Get(0).(*storage.ConfigEntry), args.Error(1)\n}\n```", + "tags": [ + "type-mismatch", + "interface-compliance", + "compilation-error", + "mock" + ], + "title": "Mock GetConfig returns wrong type - interface{} instead of *storage.ConfigEntry" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The MockStorageProvider.SetConfig method has signature `(ctx context.Context, key string, value interface{})` but the StorageProvider interface defines it as `(ctx context.Context, key string, value string, updatedBy string)`. This is another interface compliance issue that will cause compilation errors.\n\nThe mock is also missing the `updatedBy` parameter entirely, and uses `interface{}` for value instead of `string`.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "mock-getconfig-type-compliance", + "dimension_name": "MockStorageProvider GetConfig Type Compliance", + "evidence": "Step 1: StorageProvider interface in storage.go:133 defines `SetConfig(ctx context.Context, key string, value string, updatedBy string) error`\nStep 2: MockStorageProvider in config_test.go:289-292 implements `SetConfig(ctx context.Context, key string, value interface{}) error`\nStep 3: Missing `updatedBy string` parameter and wrong `value` type (interface{} vs string)\nStep 4: Interface mismatch will cause: `MockStorageProvider does not implement StorageProvider (wrong type for SetConfig method)`", + "file_path": "control-plane/internal/handlers/ui/config_test.go", + "id": "f_008", + "line_end": 292, + "line_start": 289, + "score": 1.14, + "severity": "critical", + "suggestion": "Update SetConfig signature from:\n```go\nfunc (m *MockStorageProvider) SetConfig(ctx context.Context, key string, value interface{}) error {\n args := m.Called(ctx, key, value)\n return args.Error(0)\n}\n```\n\nTo:\n```go\nfunc (m *MockStorageProvider) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n args := m.Called(ctx, key, value, updatedBy)\n return args.Error(0)\n}\n```", + "tags": [ + "type-mismatch", + "interface-compliance", + "compilation-error", + "mock", + "missing-parameter" + ], + "title": "Mock SetConfig has wrong signature - missing updatedBy parameter" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The configReloadFn() method returns a function that calls overlayDBConfig(s.config, s.storage) which directly modifies the shared s.config struct. This creates a data race because the returned function is called asynchronously (likely from a signal handler or watcher) while dozens of goroutines concurrently read from s.config fields without any synchronization mechanism.\n\nThe AgentFieldServer struct includes a configMu mutex field (line 82) that was intended to protect these operations, but it is never locked in configReloadFn(). This means concurrent reads during a config reload can observe partially updated or inconsistent configuration values, leading to undefined behavior.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "semantic-001", + "dimension_name": "Data Race in Config Reload", + "evidence": "Line 82: configMu field exists in struct but is unused\nLine 440-441: Direct modification of s.config without lock\nOverlayDBConfig modifies s.config fields via mergeDBConfig()", + "file_path": "control-plane/internal/server/server.go", + "id": "f_010", + "line_end": 442, + "line_start": 433, + "score": 1.14, + "severity": "critical", + "suggestion": "Acquire the configMu lock before modifying s.config in the returned function:\n\nfunc (s *AgentFieldServer) configReloadFn() handlers.ConfigReloadFunc {\n if src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src != \"db\" {\n return nil\n }\n return func() error {\n s.configMu.Lock()\n defer s.configMu.Unlock()\n return overlayDBConfig(s.config, s.storage)\n }\n}\n\nAdditionally, all read access to s.config fields throughout the codebase should also acquire at least a read lock (RLock) to prevent data races during concurrent reads.", + "tags": [ + "data-race", + "concurrency", + "mutex", + "config-reload", + "critical" + ], + "title": "Data Race: Config Reload Function Modifies Shared Config Without Synchronization" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The mergeDBConfig function has a systemic security control gap where comments claim protection for security-sensitive fields, but the actual implementation only explicitly preserves Storage config (lines 33, 45). This creates multiple authentication bypass vectors through a shared vulnerable code pattern.\n\n**The compound risk:** An attacker with database write access can override ALL critical authentication/authorization tokens by inserting malicious YAML into the database config:\n\n1. **API Authentication Bypass** (lines 94-97): Comment claims 'never override API key from DB for security' but code only merges CORS settings. The API.Auth.APIKey can be overridden from DB, allowing attacker to authenticate with their own key.\n\n2. **Admin Privilege Escalation** (lines 87-89): Features.DID is merged entirely when Method != '', which includes Authorization.AdminToken. Attacker can set their own admin token to gain administrative access to tag approval and policy management routes.\n\n3. **Agent Impersonation** (lines 87-89): Same DID merge includes Authorization.InternalToken, which is sent as Authorization: Bearer header when control plane forwards execution requests to agents. Attacker can impersonate the control plane to agents with RequireOriginAuth enabled.\n\n4. **Approval System Compromise** (lines 82-84): AgentField.Approval config including WebhookSecret is entirely merged from DB. Attacker can manipulate approval workflows and potentially bypass approval requirements.\n\n**Why this is worse than individual findings:** The shared merge pattern suggests a developer misunderstanding of the actual protection scope. Only Storage is explicitly preserved (bootstrap problem), while other security-sensitive fields have only comments claiming protection. This indicates a systemic control gap where the security model is inconsistent and incomplete. Fixing one field won't address the underlying architectural issue.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "compound", + "dimension_name": "Compound Analysis", + "evidence": "Evidence from code review:\\n1. Line 33, 45: Only Storage config is explicitly saved and restored (correct protection for bootstrap problem)\\n2. Line 82-84: AgentField.Approval (including WebhookSecret) is entirely merged from DB without protection\\n3. Line 87-89: Features.DID (including Authorization.AdminToken and InternalToken) is entirely merged when Method != ''\\n4. Line 94-97: Comment claims API key protection but only CORS is handled, not Auth\\n5. Line 90-92: Comment claims Connector token protection but no enforcement code exists\\n6. config.go line 207-212: AuthConfig contains APIKey string field\\n7. config.go line 112-135: AuthorizationConfig contains AdminToken (line 125) and InternalToken (line 129)\\n8. config.go line 46: ApprovalConfig contains WebhookSecret\\n\\nAttack scenario: INSERT INTO config (key, value) VALUES ('agentfield.yaml', 'api:\\n auth:\\n api_key: attacker-controlled-key\\nfeatures:\\n did:\\n method: key\\n authorization:\\n admin_token: attacker-admin-token\\n internal_token: attacker-internal-token\\nagentfield:\\n approval:\\n webhook_secret: attacker-webhook-secret')", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_012", + "line_end": 103, + "line_start": 52, + "score": 1.14, + "severity": "critical", + "suggestion": "Implement a comprehensive security-sensitive field protection system:\\n1. Create an explicit whitelist approach for DB-configurable fields instead of selective merging\\n2. Add a security audit comment block at the top of mergeDBConfig listing ALL protected fields\\n3. Implement a struct tag system (e.g., `dbconfig:\"protected\"`) to mark fields that should never come from DB\\n4. Add validation tests that verify no security-sensitive fields can be set from DB config\\n5. Consider encrypting security-sensitive config values in the database\\n6. Log all config changes from DB with before/after values for security-sensitive fields", + "tags": [ + "security", + "authentication-bypass", + "configuration", + "database", + "systemic-vulnerability", + "privilege-escalation", + "defense-in-depth" + ], + "title": "Systemic configuration merge vulnerability enables multiple authentication bypass vectors" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The database configuration overlay mechanism (`overlayDBConfig`) contains a systemic security control gap where security-sensitive tokens are not protected from DB-based override, despite comments claiming protection exists. This compound issue creates a complete authentication bypass vulnerability.\n\n**The compound vulnerability:**\n\n1. **Pattern of False Security Claims**: Lines 90-92 and 94 contain comments stating that connector tokens and API keys are intentionally NOT merged from DB, but these protections are NOT actually implemented in code. This creates a dangerous false sense of security.\n\n2. **Multiple Critical Token Override**: An attacker with DB write access can override ALL of these tokens simultaneously:\n - `API.Auth.APIKey` (controls all API access) - line 209 in config.go\n - `AgentField.Approval.WebhookSecret` (controls webhook verification) - line 47 in config.go\n - `Features.DID.Authorization.AdminToken` (controls admin operations) - line 125 in config.go\n - `Features.DID.Authorization.InternalToken` (controls agent authentication) - line 129 in config.go\n - `Features.Connector.Token` (commented as protected but not enforced) - line 89 in config.go\n\n3. **Inconsistent Protection Logic**: While `Storage` is properly protected with save/restore pattern (lines 33, 45), equally or more sensitive fields like APIKey and WebhookSecret are NOT protected using the same pattern, despite being security-critical.\n\n4. **Hot-reload Amplification**: The `/api/v1/configs/reload` endpoint (config_storage.go:114-128) allows immediate application of malicious config changes without server restart, enabling rapid exploitation.\n\n5. **Zero Validation**: The SetConfig storage method (local.go:5129-5161) accepts arbitrary YAML content without validating or rejecting sensitive field modifications.\n\n**Complete Attack Chain:**\n1. Attacker gains DB write access OR compromises an account with `config_management` capability\n2. Attacker uploads malicious config YAML with attacker-controlled tokens via `PUT /api/v1/configs/agentfield.yaml`\n3. Attacker triggers config reload via `POST /api/v1/configs/reload`\n4. Server immediately loads attacker's tokens from DB, replacing legitimate file/env-configured tokens\n5. Attacker can now authenticate with their own API key, forge webhook approvals, perform admin operations with their admin token, and authenticate to agents with their internal token\n\n**Risk Escalation:** This is worse than individual findings because it allows COMPLETE SYSTEM COMPROMISE through a single config write operation, bypassing all authentication layers simultaneously.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "compound", + "dimension_name": "Compound Analysis", + "evidence": "Evidence of the compound control gap:\n\n1. **False security claims in comments** (config_db.go:90-97):\n Line 90-92: 'NOTE: Connector config (token, capabilities) is intentionally NOT merged from DB.'\n Line 94: 'API settings (but never override API key from DB for security)'\n Yet NO code enforces these protections - only CORS is merged conditionally at lines 95-97.\n\n2. **Missing protection for APIKey** (config_db.go:94-97):\n The comment says API key should never be overridden from DB, but the only code that runs is CORS merge. API.Auth.APIKey is never preserved or restored.\n\n3. **Dangerous struct-level merge for Approval** (config_db.go:82-84):\n ```go\n if dbCfg.AgentField.Approval.WebhookSecret != \"\" || dbCfg.AgentField.Approval.DefaultExpiryHours != 0 {\n target.AgentField.Approval = dbCfg.AgentField.Approval\n }\n ```\n This merges the ENTIRE Approval struct including WebhookSecret when either field is non-empty.\n\n4. **Dangerous struct-level merge for DID** (config_db.go:86-89):\n ```go\n if dbCfg.Features.DID.Method != \"\" {\n target.Features.DID = dbCfg.Features.DID\n }\n ```\n This merges the ENTIRE DIDConfig struct including Authorization.AdminToken and Authorization.InternalToken.\n\n5. **Proper protection only for Storage** (config_db.go:33,45):\n Line 33: `savedStorage := cfg.Storage`\n Line 45: `cfg.Storage = savedStorage`\n This shows the pattern that SHOULD be used for other sensitive fields but is NOT.\n\n6. **Config structs showing sensitive fields** (config.go):\n - Line 47: `WebhookSecret string` in ApprovalConfig\n - Line 125: `AdminToken string` in AuthorizationConfig \n - Line 129: `InternalToken string` in AuthorizationConfig\n - Line 209: `APIKey string` in AuthConfig\n\n7. **No validation in SetConfig** (local.go:5129-5161):\n Raw YAML stored directly to DB without checking for sensitive field modifications.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_013", + "line_end": 103, + "line_start": 19, + "score": 1.14, + "severity": "critical", + "suggestion": "Implement consistent security field protection across ALL sensitive configuration values:\n\n1. **Immediate Fix - Add protection for all security-sensitive tokens** (config_db.go):\n```go\nfunc overlayDBConfig(cfg *config.Config, store storage.StorageProvider) error {\n // ... existing code ...\n \n // Preserve ALL security-sensitive tokens from file/env config\n savedStorage := cfg.Storage\n savedAPIKey := cfg.API.Auth.APIKey\n savedWebhookSecret := cfg.AgentField.Approval.WebhookSecret\n savedAdminToken := cfg.Features.DID.Authorization.AdminToken\n savedInternalToken := cfg.Features.DID.Authorization.InternalToken\n savedConnectorToken := cfg.Features.Connector.Token\n \n // Parse and merge DB config\n var dbCfg config.Config\n if err := yaml.Unmarshal([]byte(entry.Value), &dbCfg); err != nil {\n return fmt.Errorf(\"failed to parse database config YAML: %w\", err)\n }\n mergeDBConfig(cfg, &dbCfg)\n \n // Restore all security-sensitive values (never overridden from DB)\n cfg.Storage = savedStorage\n cfg.API.Auth.APIKey = savedAPIKey\n cfg.AgentField.Approval.WebhookSecret = savedWebhookSecret\n cfg.Features.DID.Authorization.AdminToken = savedAdminToken\n cfg.Features.DID.Authorization.InternalToken = savedInternalToken\n cfg.Features.Connector.Token = savedConnectorToken\n \n // ... rest of function ...\n}\n```\n\n2. **Medium-term - Add field-level merge for DID and Approval** instead of struct-level merge to avoid accidentally merging sensitive sub-fields.\n\n3. **Long-term - Add config validation middleware** that rejects DB config updates containing modifications to security-sensitive fields, returning a 400 error with explanation.", + "tags": [ + "security", + "authentication-bypass", + "configuration", + "api-key", + "token-override", + "systemic-control-gap" + ], + "title": "Systemic DB Config Security Control Gap - Multiple Critical Tokens Unprotected" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The combination of multiple unprotected security-sensitive fields in the DB config merge logic creates a complete authentication and authorization bypass chain. An attacker with database write access can simultaneously inject malicious values for: (1) DID Authorization tokens (AdminToken/InternalToken) via the full-DID-struct merge at lines 87-89, (2) WebhookSecret via the full-Approval-struct merge at lines 82-84, (3) API.Auth.APIKey which is parsed by yaml.Unmarshal at line 37 but never explicitly restored, and (4) Connector.Token/Capabilities which are claimed to be protected by comment at lines 90-92 but have no actual code enforcement. This allows an attacker to: authenticate with their own API key, escalate privileges using their own AdminToken, forge approval callbacks with their own WebhookSecret, and gain unauthorized connector access with their own token. The compound effect is TOTAL SYSTEM COMPROMISE - the attacker controls all authentication, authorization, and validation mechanisms simultaneously, making this significantly more severe than any individual vulnerability.", + "confidence": 0.92, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "compound", + "dimension_name": "Compound Analysis", + "evidence": "Step 1: yaml.Unmarshal at line 37 parses ALL fields from DB-stored YAML including api.auth.api_key, features.did.authorization.admin_token, features.did.authorization.internal_token, agentfield.approval.webhook_secret, and features.connector.token. Step 2: Lines 87-89 merge entire DID struct when Method != '', overwriting Authorization.AdminToken and Authorization.InternalToken. Step 3: Lines 82-84 merge entire Approval struct when WebhookSecret != '', allowing secret replacement. Step 4: Lines 90-92 claim connector config is protected but NO code enforcement exists (unlike lines 33,45 which save/restore Storage). Step 5: Lines 94-97 only merge CORS, leaving API.Auth vulnerable to DB override. Step 6: The save/restore pattern at lines 33,45 proves the correct protection approach exists but is inconsistently applied.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_014", + "line_end": 97, + "line_start": 82, + "score": 1.104, + "severity": "critical", + "suggestion": "Apply the same save/restore pattern used for Storage (lines 33,45) to ALL security-sensitive fields before calling mergeDBConfig. Specifically: (1) Save cfg.API.Auth before line 42 and restore after, (2) Save cfg.Features.DID.Authorization before line 42 and restore after, (3) Save cfg.AgentField.Approval.WebhookSecret before line 42 and restore after, (4) Save cfg.Features.Connector before line 42 and restore after. Alternatively, implement a whitelist approach where ONLY explicitly allowed non-sensitive fields can be merged from DB config.", + "tags": [ + "security", + "authentication-bypass", + "authorization-bypass", + "privilege-escalation", + "configuration-injection", + "compound-risk" + ], + "title": "Complete System Compromise via Coordinated DB Config Injection" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `mergeDBConfig` function implements an INCONSISTENT security protection pattern that creates a systemic control gap enabling total authentication bypass. While Storage config is properly protected (saved at line 33, restored at line 45), FOUR other critical security-sensitive fields are left completely unprotected:\n\n1. **API.Auth.APIKey** (lines 94-97): Comment claims 'never override API key from DB for security' but code only merges CORS settings. The APIKey parsed from DB YAML remains in dbCfg struct with no explicit clearing.\n\n2. **AgentField.Approval.WebhookSecret** (lines 82-84): Entire Approval struct is merged when WebhookSecret or DefaultExpiryHours is set in DB, overwriting file/env HMAC-SHA256 secret used for webhook verification.\n\n3. **Features.DID.Authorization.AdminToken/InternalToken** (lines 87-89): Entire DID struct is merged when Method is non-empty, overwriting admin and internal authentication tokens used for privileged operations and agent authentication.\n\n4. **Features.Connector.Token/Capabilities** (lines 90-92): Comment claims connector config is 'intentionally NOT merged from DB' but NO CODE ENFORCES THIS. Parsed DB values persist in dbCfg struct.\n\n**COMPOUND IMPACT - Total System Compromise:**\nAn attacker with database write access can override ALL authentication mechanisms simultaneously:\n- Set `api.auth.api_key` \u2192 Gain unauthorized API access\n- Set `agentfield.approval.webhook_secret` \u2192 Forge webhook callbacks for unauthorized approvals\n- Set `features.did.method` + `features.did.authorization.admin_token` \u2192 Perform admin operations and bypass agent authentication\n- Set `features.connector.token` \u2192 Compromise connector service integration\n\nThis is NOT four separate vulnerabilities - it is ONE SYSTEMIC CONTROL GAP where a security protection pattern exists but is inconsistently applied. The existence of proper Storage protection proves the developers understand the risk, but the same protection was omitted for other equally critical credentials.", + "confidence": 0.92, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "compound", + "dimension_name": "Compound Analysis", + "evidence": "1. **Storage protection pattern (CORRECT)**: config_db.go:33 saves `cfg.Storage` before merge, line 45 restores it after. This proves the security model exists. 2. **APIKey protection FAILURE**: config_db.go:94 comment says 'never override API key from DB' but lines 95-97 only merge CORS. No explicit clearing of dbCfg.API.Auth.APIKey. 3. **WebhookSecret override**: config_db.go:82-84 assigns entire `target.AgentField.Approval = dbCfg.AgentField.Approval` when WebhookSecret is non-empty, overwriting the file/env secret. 4. **DID Authorization tokens override**: config_db.go:87-89 assigns entire `target.Features.DID = dbCfg.Features.DID` when Method is non-empty. config.go:125,129 show DIDConfig.Authorization contains AdminToken and InternalToken. 5. **Connector protection COMMENT-ONLY**: config_db.go:90-92 comment claims protection but no code saves/restores `cfg.Features.Connector` like Storage. 6. **Attack vector**: All sensitive values are parsed from DB YAML at config_db.go:37 via `yaml.Unmarshal`.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_016", + "line_end": 97, + "line_start": 32, + "score": 1.104, + "severity": "critical", + "suggestion": "Implement CONSISTENT protection for ALL security-sensitive fields. Create a systematic approach:\n\n1. **Immediate fix**: Add save/restore pattern for all sensitive fields:\n```go\n// At line 32-33, add:\nsavedAPIKey := cfg.API.Auth.APIKey\nsavedApproval := cfg.AgentField.Approval\nsavedDIDAuth := cfg.Features.DID.Authorization\nsavedConnector := cfg.Features.Connector\n\n// At line 44-45, add:\ncfg.API.Auth.APIKey = savedAPIKey\ncfg.AgentField.Approval = savedApproval\ncfg.Features.DID.Authorization = savedDIDAuth\ncfg.Features.Connector = savedConnector\n```\n\n2. **Better fix**: Refactor mergeDBConfig to use field-by-field merging for sensitive structs instead of whole-struct assignment. Only merge non-sensitive fields individually.\n\n3. **Best fix**: Add a comprehensive test that verifies NO sensitive credentials can be overridden from DB config by attempting to inject malicious values for all security-sensitive fields.", + "tags": [ + "security", + "authentication-bypass", + "configuration-management", + "systemic-vulnerability", + "db-config-override", + "total-compromise", + "inconsistent-protection" + ], + "title": "Systemic DB Config Security Control Gap Enables Total Authentication Bypass" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The codebase demonstrates a systemic control gap where the correct pattern for protecting security-sensitive configuration fields exists but is inconsistently applied. The save/restore pattern at lines 33,45 correctly protects Storage config from DB override (addressing the bootstrap problem), but this same pattern is NOT applied to other equally sensitive fields: API.Auth (controlling API authentication), Features.DID.Authorization (controlling admin/internal tokens), AgentField.Approval (controlling webhook secrets), and Features.Connector (controlling service tokens). This pattern inconsistency indicates a missing security control in the development process - the Storage protection was implemented as a one-off fix rather than establishing a comprehensive security rule. The presence of comments at lines 90-92 and 94 claiming protection exists (without code enforcement) further suggests confusion about what is actually protected. This systemic gap means future security-sensitive fields are likely to be similarly vulnerable.", + "confidence": 0.88, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "compound", + "dimension_name": "Compound Analysis", + "evidence": "Step 1: Lines 33,45 show the correct save/restore pattern: `savedStorage := cfg.Storage` before merge and `cfg.Storage = savedStorage` after merge. Step 2: Lines 87-89, 82-84 show entire struct assignment for DID and Approval without field-level protection. Step 3: Lines 94-97 show comment claiming API key protection but only CORS is actually protected. Step 4: Lines 90-92 show comment claiming connector protection but NO corresponding code. Step 5: The pattern inconsistency spans 4 different security-sensitive fields across lines 82-97, indicating a missing systematic approach.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_015", + "line_end": 45, + "line_start": 32, + "score": 1.056, + "severity": "critical", + "suggestion": "Establish a comprehensive security policy for DB config merging: (1) Create an explicit allowlist of fields that CAN be merged from DB, default-deny all others, (2) Document the save/restore pattern requirement in code comments and developer documentation, (3) Add unit tests that verify each security-sensitive field cannot be overridden from DB config, (4) Consider creating a helper function `preserveSecurityFields(cfg *Config) (restore func())` that automatically saves and returns a restore function for all sensitive fields, ensuring consistency.", + "tags": [ + "security", + "systemic-control-gap", + "configuration-security", + "defense-in-depth", + "pattern-consistency" + ], + "title": "Systemic Control Gap: Inconsistent Application of Security-Sensitive Field Protection" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `mergeDBConfig` function only merges `API.CORS` settings (lines 94-97) but completely ignores `API.Auth.APIKey`. This means the API authentication key is left vulnerable to being set/overridden from DB config through struct assignment elsewhere or future code changes.\n\n**The vulnerability:** While the current code doesn't explicitly merge `API.Auth`, the struct can still receive values from DB config parsing. The YAML unmarshaling at line 37 populates `dbCfg` with ALL values from DB-stored YAML, including `api.auth.api_key`. Since there's no explicit preservation of `API.Auth.APIKey` like there is for `Storage` (lines 33, 45), this sensitive credential could be overridden.\n\n**Security impact:**\n- `API.Auth.APIKey` controls access to the entire AgentField API\n- If an attacker can set this via DB config, they can authenticate to the API with their own key\n- This bypasses any file/env-based API key configuration\n\n**The comment at line 94** says \"API settings (but never override API key from DB for security)\" but this protection is NOT actually implemented in the code.", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "security-field-protection", + "dimension_name": "Security-Sensitive Field Protection in DB Config Merge", + "evidence": "Step 1: config_db.go:94-97 shows only CORS is merged, comment says API key should not be overridden but no code enforces this. Step 2: config.go:207-212 shows AuthConfig contains APIKey (line 209). Step 3: yaml.Unmarshal at config_db.go:37 parses ALL fields from DB YAML including api.auth.api_key. Step 4: Since mergeDBConfig doesn't explicitly handle API.Auth fields, the dbCfg value could persist if the field exists in DB YAML.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_003", + "line_end": 97, + "line_start": 94, + "score": 1.02, + "severity": "critical", + "suggestion": "Add explicit protection for `API.Auth.APIKey` similar to how `Storage` is protected. Before calling `mergeDBConfig`, save the API key and restore it after:\n\n```go\n// At line 32-33, add:\nsavedAPIKey := cfg.API.Auth.APIKey\n\n// At line 44-45, add:\ncfg.API.Auth.APIKey = savedAPIKey\n```\n\nAlternatively, explicitly set it in mergeDBConfig if it was preserved elsewhere.", + "tags": [ + "security", + "api-key", + "authentication", + "configuration" + ], + "title": "API.Auth.APIKey can be overridden from DB config - no protection implemented" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The SetConfig handler at lines 67-101 accepts raw YAML/text body and stores it directly in the database without any validation that it parses as valid YAML or conforms to the expected config schema.\n\n**Why this is a problem:**\n1. Invalid YAML can be stored via `PUT /api/v1/configs/agentfield.yaml`\n2. On next server startup with `AGENTFIELD_CONFIG_SOURCE=db`, `overlayDBConfig` calls `yaml.Unmarshal` which fails\n3. The error is only logged as a warning (server.go:110), so startup continues with potentially partial/inconsistent config\n4. This creates a broken state that's hard to recover from - operators must manually delete the invalid config via API or DB edit\n\n**Attack scenario:** A malicious actor or buggy client could store malformed YAML, breaking config reloads until manual intervention.", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "yaml-validation-gap", + "dimension_name": "YAML Validation Gap in SetConfig Handler", + "evidence": "Step 1: HTTP PUT /api/v1/configs/agentfield.yaml -> SetConfig handler (config_storage.go:67)\nStep 2: Handler reads body with io.ReadAll (line 70), stores directly via storage.SetConfig (line 85)\nStep 3: No validation performed - body stored as raw string\nStep 4: On server restart with AGENTFIELD_CONFIG_SOURCE=db, overlayDBConfig (config_db.go:19) reads entry\nStep 5: yaml.Unmarshal (config_db.go:37) attempts to parse stored value\nStep 6: If stored value is invalid YAML (e.g., 'invalid: [unclosed'), unmarshal fails\nStep 7: Error returned at config_db.go:38, logged as warning at server.go:110\nStep 8: Server continues startup with partial/inconsistent configuration", + "file_path": "control-plane/internal/handlers/config_storage.go", + "id": "f_000", + "line_end": 101, + "line_start": 67, + "score": 0.798, + "severity": "important", + "suggestion": "Add YAML validation before storing in SetConfig. Parse the body with `yaml.Unmarshal` into a temporary config struct to verify it's valid YAML and conforms to the schema. Return 400 Bad Request with details if validation fails. Additionally, consider adding a dedicated `/configs/validate` endpoint for dry-run validation before apply.", + "tags": [ + "yaml", + "validation", + "config", + "data-integrity" + ], + "title": "SetConfig handler stores invalid YAML without validation" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "The `AgentField.Approval` struct is merged entirely from DB config when `WebhookSecret` or `DefaultExpiryHours` is non-zero (lines 82-84). This includes `WebhookSecret`, which is a security-sensitive HMAC-SHA256 secret used for verifying webhook callbacks.\n\n**The vulnerability:**\n- `WebhookSecret` is used to authenticate incoming webhooks (config.go:47)\n- If an attacker can set this via DB config, they can forge webhook callbacks\n- This could allow unauthorized approval actions or other webhook-triggered operations\n\n**Current behavior:**\n- Lines 82-84 merge the entire `Approval` struct if either field is set in DB\n- This overwrites the file/env `WebhookSecret` with DB value\n- No preservation of the original secret like `Storage` has", + "confidence": 0.85, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "security-field-protection", + "dimension_name": "Security-Sensitive Field Protection in DB Config Merge", + "evidence": "Step 1: config_db.go:82-84 merges entire Approval struct if WebhookSecret or DefaultExpiryHours is non-empty. Step 2: config.go:46-49 shows ApprovalConfig contains WebhookSecret (line 47) described as 'HMAC-SHA256 secret for verifying webhook callbacks'. Step 3: Entire struct assignment overwrites all fields including the secret.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_005", + "line_end": 84, + "line_start": 82, + "score": 0.714, + "severity": "important", + "suggestion": "Add explicit protection for `AgentField.Approval.WebhookSecret` by saving it before merge and restoring after, similar to Storage protection. Or merge only non-sensitive fields individually instead of assigning the entire struct.", + "tags": [ + "security", + "webhook", + "secret", + "configuration" + ], + "title": "Approval.WebhookSecret can be overridden from DB config" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "Lines 90-92 contain a comment stating \"Connector config (token, capabilities) is intentionally NOT merged from DB. These are security-sensitive and must come from file/env config\". However, this is only a comment - there is NO actual code enforcement of this protection.\n\n**The issue:**\n1. The comment suggests connector token and capabilities are protected like storage config\n2. However, unlike lines 33 and 45 which explicitly save/restore `cfg.Storage`, there is NO corresponding save/restore for `cfg.Features.Connector`\n3. If DB config contains `features.connector.token` or `features.connector.capabilities`, these values WILL be parsed into `dbCfg` at line 37\n4. While the current `mergeDBConfig` doesn't explicitly merge Connector fields, future modifications could inadvertently enable this\n\n**Recommendation:** Either implement the protection (like Storage) or remove the misleading comment.", + "confidence": 0.8, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "security-field-protection", + "dimension_name": "Security-Sensitive Field Protection in DB Config Merge", + "evidence": "Step 1: config_db.go:90-92 comment claims connector config is NOT merged for security. Step 2: config_db.go:33,45 shows Storage is saved before merge and restored after - the pattern for security-sensitive fields. Step 3: No corresponding save/restore exists for cfg.Features.Connector. Step 4: config.go:87-91 shows ConnectorConfig contains Token (line 89) - a security-sensitive field.", + "file_path": "control-plane/internal/server/config_db.go", + "id": "f_004", + "line_end": 92, + "line_start": 90, + "score": 0.672, + "severity": "important", + "suggestion": "Add explicit protection for Connector config similar to Storage:\n\n```go\n// At line 32-33, add:\nsavedConnector := cfg.Features.Connector\n\n// At line 44-45, add:\ncfg.Features.Connector = savedConnector\n```\n\nOr if the comment is incorrect, update it to reflect actual behavior.", + "tags": [ + "security", + "connector", + "token", + "documentation", + "configuration" + ], + "title": "Comment claims connector token/capabilities are excluded but no enforcement in code" + }, + { + "active_multipliers": [ + "ai_generated_pr" + ], + "body": "Both MockStorageProvider implementations (execute_test.go and ui/config_test.go) have been verified to correctly implement the updated StorageProvider interface for configuration storage methods.\n\nThe mock implementations match the interface definition at storage.go:133-136:\n- SetConfig: signature with value string and updatedBy string parameters \u2713\n- GetConfig: returns (*storage.ConfigEntry, error) \u2713\n- ListConfigs: returns ([]*storage.ConfigEntry, error) \u2713\n- DeleteConfig: signature with key string parameter \u2713", + "confidence": 0.95, + "diff_line": null, + "diff_side": "RIGHT", + "dimension_id": "mock-compliance-001", + "dimension_name": "MockStorageProvider Interface Compliance in execute_test.go", + "evidence": "execute_test.go lines 174-185: All four config methods implemented with correct signatures matching storage.go:133-136\nui/config_test.go lines 289-313: All four config methods implemented with correct signatures", + "file_path": "control-plane/internal/handlers/execute_test.go", + "id": "f_011", + "line_end": 185, + "line_start": 174, + "score": 0.342, + "severity": "info", + "suggestion": "No changes required. The mock implementations are already compliant with the updated interface.", + "tags": [ + "mock", + "interface-compliance", + "config-storage", + "tests" + ], + "title": "MockStorageProvider Correctly Implements Updated StorageProvider Interface" + } + ], + "metadata": { + "agent_invocations": 20, + "anatomy": { + "blast_radius": [], + "clusters": [ + { + "description": "", + "files": [ + "control-plane/config/agentfield.yaml" + ], + "id": "cluster_0", + "name": "control-plane/config", + "primary_language": "yaml" + }, + { + "description": "", + "files": [ + "control-plane/internal/handlers/config_storage.go" + ], + "id": "cluster_1", + "name": "control-plane/internal/handlers", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/internal/server/config_db.go", + "control-plane/internal/server/server.go", + "control-plane/internal/server/server_routes_test.go" + ], + "id": "cluster_2", + "name": "control-plane/internal/server", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/internal/storage/local.go", + "control-plane/internal/storage/migrations.go", + "control-plane/internal/storage/models.go", + "control-plane/internal/storage/storage.go" + ], + "id": "cluster_3", + "name": "control-plane/internal/storage", + "primary_language": "go" + }, + { + "description": "", + "files": [ + "control-plane/migrations/028_create_config_storage.sql" + ], + "id": "cluster_4", + "name": "control-plane/migrations", + "primary_language": "sql" + } + ], + "context_notes": "This PR is part of a multi-PR feature involving: 1) This control plane PR (config storage backend), 2) Connector PR (config_management capability), 3) hax-sdk PR (config editor UI). The feature enables SaaS-style remote configuration management where a central connector can push config to multiple control plane instances. The bootstrap safety mechanism (preserving storage section) is critical because the DB connection parameters cannot come from the DB itself.", + "dependency_graph": {}, + "files": [ + { + "hunks": [ + { + "content": " enabled: true\n observability_config:\n enabled: false\n+ config_management:\n+ enabled: true\n+ read_only: false", + "header": "@@ -146,3 +146,6 @@ features:", + "new_count": 6, + "new_start": 146, + "old_count": 3, + "old_start": 146 + } + ], + "language": "yaml", + "lines_added": 3, + "lines_removed": 0, + "path": "control-plane/config/agentfield.yaml", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+package handlers\n+\n+import (\n+\t\"io\"\n+\t\"net/http\"\n+\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/storage\"\n+\t\"github.com/gin-gonic/gin\"\n+)\n+\n+// maxConfigBodySize is the maximum allowed size for a config body (1 MB).\n+// Prevents DoS via unbounded request body reads.\n+const maxConfigBodySize = 1 << 20 // 1 MB\n+\n+// ConfigReloadFunc is called to reload configuration from the database.\n+type ConfigReloadFunc func() error\n+\n+// ConfigStorageHandlers provides HTTP handlers for database-backed configuration.\n+type ConfigStorageHandlers struct {\n+\tstorage storage.StorageProvider\n+\treloadFn ConfigReloadFunc\n+}\n+\n+// NewConfigStorageHandlers creates a new ConfigStorageHandlers instance.\n+func NewConfigStorageHandlers(store storage.StorageProvider, reloadFn ConfigReloadFunc) *ConfigStorageHandlers {\n+\treturn &ConfigStorageHandlers{storage: store, reloadFn: reloadFn}\n+}\n+\n+// RegisterRoutes registers config storage routes on the given router group.\n+func (h *ConfigStorageHandlers) RegisterRoutes(group *gin.RouterGroup) {\n+\tgroup.GET(\"/configs\", h.ListConfigs)\n+\tgroup.GET(\"/configs/:key\", h.GetConfig)\n+\tgroup.PUT(\"/configs/:key\", h.SetConfig)\n+\tgroup.DELETE(\"/configs/:key\", h.DeleteConfig)\n+\tgroup.POST(\"/configs/reload\", h.ReloadConfig)\n+}\n+\n+// ListConfigs returns all stored configuration entries.\n+func (h *ConfigStorageHandlers) ListConfigs(c *gin.Context) {\n+\tentries, err := h.storage.ListConfigs(c.Request.Context())\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tif entries == nil {\n+\t\tentries = []*storage.ConfigEntry{}\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\n+\t\t\"configs\": entries,\n+\t\t\"total\": len(entries),\n+\t})\n+}\n+\n+// GetConfig returns a specific configuration entry by key.\n+func (h *ConfigStorageHandlers) GetConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\tentry, err := h.storage.GetConfig(c.Request.Context(), key)\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tif entry == nil {\n+\t\tc.JSON(http.StatusNotFound, gin.H{\"error\": \"config not found\", \"key\": key})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, entry)\n+}\n+\n+// SetConfig creates or updates a configuration entry.\n+// Accepts raw YAML/text body as the config value.\n+func (h *ConfigStorageHandlers) SetConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\n+\tbody, err := io.ReadAll(io.LimitReader(c.Request.Body, maxConfigBodySize+1))\n+\tif err != nil {\n+\t\tc.JSON(http.StatusBadRequest, gin.H{\"error\": \"failed to read request body\"})\n+\t\treturn\n+\t}\n+\tif len(body) == 0 {\n+\t\tc.JSON(http.StatusBadRequest, gin.H{\"error\": \"request body is empty\"})\n+\t\treturn\n+\t}\n+\tif len(body) > maxConfigBodySize {\n+\t\tc.JSON(http.StatusRequestEntityTooLarge, gin.H{\n+\t\t\t\"error\": \"config body exceeds maximum size\",\n+\t\t\t\"max\": maxConfigBodySize,\n+\t\t})\n+\t\treturn\n+\t}\n+\n+\tupdatedBy := c.GetHeader(\"X-Updated-By\")\n+\tif updatedBy == \"\" {\n+\t\tupdatedBy = \"api\"\n+\t}\n+\n+\tif err := h.storage.SetConfig(c.Request.Context(), key, string(body), updatedBy); err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\n+\t// Return the saved entry\n+\tentry, err := h.storage.GetConfig(c.Request.Context(), key)\n+\tif err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\n+\tc.JSON(http.StatusOK, gin.H{\n+\t\t\"message\": \"config saved\",\n+\t\t\"config\": entry,\n+\t})\n+}\n+\n+// DeleteConfig removes a configuration entry by key.\n+func (h *ConfigStorageHandlers) DeleteConfig(c *gin.Context) {\n+\tkey := c.Param(\"key\")\n+\tif err := h.storage.DeleteConfig(c.Request.Context(), key); err != nil {\n+\t\tc.JSON(http.StatusNotFound, gin.H{\"error\": err.Error()})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\"message\": \"config deleted\", \"key\": key})\n+}\n+\n+// ReloadConfig triggers a hot-reload of configuration from the database.\n+func (h *ConfigStorageHandlers) ReloadConfig(c *gin.Context) {\n+\tif h.reloadFn == nil {\n+\t\tc.JSON(http.StatusServiceUnavailable, gin.H{\n+\t\t\t\"error\": \"config reload not available (AGENTFIELD_CONFIG_SOURCE != db)\",\n+\t\t})\n+\t\treturn\n+\t}\n+\tif err := h.reloadFn(); err != nil {\n+\t\tc.JSON(http.StatusInternalServerError, gin.H{\n+\t\t\t\"error\": \"config reload failed\",\n+\t\t\t\"details\": err.Error(),\n+\t\t})\n+\t\treturn\n+\t}\n+\tc.JSON(http.StatusOK, gin.H{\"message\": \"config reloaded from database\"})\n+}", + "header": "@@ -0,0 +1,140 @@", + "new_count": 140, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "go", + "lines_added": 140, + "lines_removed": 0, + "path": "control-plane/internal/handlers/config_storage.go", + "status": "added" + }, + { + "hunks": [ + { + "content": "+package server\n+\n+import (\n+\t\"context\"\n+\t\"fmt\"\n+\t\"time\"\n+\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/config\"\n+\t\"github.com/Agent-Field/agentfield/control-plane/internal/storage\"\n+\t\"gopkg.in/yaml.v3\"\n+)\n+\n+const dbConfigKey = \"agentfield.yaml\"\n+\n+// overlayDBConfig loads config from the database and merges it into the\n+// existing config. The storage section is preserved from the original config\n+// to avoid the bootstrap problem (DB connection settings can't come from DB).\n+// Precedence: env vars > DB config > file config > defaults.\n+func overlayDBConfig(cfg *config.Config, store storage.StorageProvider) error {\n+\tctx, cancel := context.WithTimeout(context.Background(), 10*time.Second)\n+\tdefer cancel()\n+\n+\tentry, err := store.GetConfig(ctx, dbConfigKey)\n+\tif err != nil {\n+\t\treturn fmt.Errorf(\"failed to read config from database: %w\", err)\n+\t}\n+\tif entry == nil {\n+\t\tfmt.Println(\"[config] No database config found (key: agentfield.yaml), using file/env config only.\")\n+\t\treturn nil\n+\t}\n+\n+\t// Preserve the storage config \u2014 it must always come from file/env (bootstrap)\n+\tsavedStorage := cfg.Storage\n+\n+\t// Parse the DB-stored YAML into a config struct\n+\tvar dbCfg config.Config\n+\tif err := yaml.Unmarshal([]byte(entry.Value), &dbCfg); err != nil {\n+\t\treturn fmt.Errorf(\"failed to parse database config YAML: %w\", err)\n+\t}\n+\n+\t// Overlay non-zero DB values onto the existing config\n+\tmergeDBConfig(cfg, &dbCfg)\n+\n+\t// Restore storage config (never overridden from DB)\n+\tcfg.Storage = savedStorage\n+\n+\tfmt.Printf(\"[config] Loaded config from database (key: %s, version: %d, updated: %s)\\n\",\n+\t\tentry.Key, entry.Version, entry.UpdatedAt.Format(time.RFC3339))\n+\treturn nil\n+}\n+\n+// mergeDBConfig selectively merges DB config values into the target config.\n+// Only non-zero/non-empty values from the DB config are applied.\n+func mergeDBConfig(target, dbCfg *config.Config) {\n+\t// AgentField settings\n+\tif dbCfg.AgentField.Port != 0 {\n+\t\ttarget.AgentField.Port = dbCfg.AgentField.Port\n+\t}\n+\tif dbCfg.AgentField.NodeHealth.CheckInterval != 0 {\n+\t\ttarget.AgentField.NodeHealth = dbCfg.AgentField.NodeHealth\n+\t}\n+\t// Merge execution cleanup field-by-field to avoid zeroing out unset fields\n+\tif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.RetentionPeriod = dbCfg.AgentField.ExecutionCleanup.RetentionPeriod\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.CleanupInterval = dbCfg.AgentField.ExecutionCleanup.CleanupInterval\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.BatchSize != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.BatchSize = dbCfg.AgentField.ExecutionCleanup.BatchSize\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.PreserveRecentDuration = dbCfg.AgentField.ExecutionCleanup.PreserveRecentDuration\n+\t}\n+\tif dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.StaleExecutionTimeout = dbCfg.AgentField.ExecutionCleanup.StaleExecutionTimeout\n+\t}\n+\t// Enabled is a bool \u2014 only override if cleanup config is present in DB at all\n+\tif dbCfg.AgentField.ExecutionCleanup.RetentionPeriod != 0 || dbCfg.AgentField.ExecutionCleanup.CleanupInterval != 0 {\n+\t\ttarget.AgentField.ExecutionCleanup.Enabled = dbCfg.AgentField.ExecutionCleanup.Enabled\n+\t}\n+\tif dbCfg.AgentField.Approval.WebhookSecret != \"\" || dbCfg.AgentField.Approval.DefaultExpiryHours != 0 {\n+\t\ttarget.AgentField.Approval = dbCfg.AgentField.Approval\n+\t}\n+\n+\t// Features\n+\tif dbCfg.Features.DID.Method != \"\" {\n+\t\ttarget.Features.DID = dbCfg.Features.DID\n+\t}\n+\t// NOTE: Connector config (token, capabilities) is intentionally NOT merged\n+\t// from DB. These are security-sensitive and must come from file/env config,\n+\t// similar to how storage config is protected from the bootstrap problem.\n+\n+\t// API settings (but never override API key from DB for security)\n+\tif len(dbCfg.API.CORS.AllowedOrigins) > 0 {\n+\t\ttarget.API.CORS = dbCfg.API.CORS\n+\t}\n+\n+\t// UI settings\n+\tif dbCfg.UI.Mode != \"\" {\n+\t\ttarget.UI = dbCfg.UI\n+\t}\n+}", + "header": "@@ -0,0 +1,103 @@", + "new_count": 103, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "go", + "lines_added": 103, + "lines_removed": 0, + "path": "control-plane/internal/server/config_db.go", + "status": "added" + }, + { + "hunks": [ + { + "content": " \t\"path/filepath\"\n \t\"strconv\"\n \t\"strings\"\n+\t\"sync\"\n \t\"time\"\n \n \t\"github.com/Agent-Field/agentfield/control-plane/internal/config\"", + "header": "@@ -13,6 +13,7 @@ import (", + "new_count": 7, + "new_start": 13, + "old_count": 6, + "old_start": 13 + }, + { + "content": " \tadminGRPCPort int\n \twebhookDispatcher services.WebhookDispatcher\n \tobservabilityForwarder services.ObservabilityForwarder\n+\tconfigMu sync.RWMutex\n }\n \n // NewAgentFieldServer creates a new instance of the AgentFieldServer.", + "header": "@@ -79,6 +80,7 @@ type AgentFieldServer struct {", + "new_count": 7, + "new_start": 80, + "old_count": 6, + "old_start": 79 + }, + { + "content": " \t\treturn nil, err\n \t}\n \n+\t// Overlay database-stored config if AGENTFIELD_CONFIG_SOURCE=db\n+\tif src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src == \"db\" {\n+\t\tif err := overlayDBConfig(cfg, storageProvider); err != nil {\n+\t\t\tfmt.Printf(\"Warning: failed to load config from database: %v\\n\", err)\n+\t\t}\n+\t}\n+\n \tRouter := gin.Default()\n \n \t// Sync installed.yaml to database for package visibility", + "header": "@@ -104,6 +106,13 @@ func NewAgentFieldServer(cfg *config.Config) (*AgentFieldServer, error) {", + "new_count": 13, + "new_start": 106, + "old_count": 6, + "old_start": 104 + }, + { + "content": " \t}, nil\n }\n \n+// configReloadFn returns a function that reloads config from the database,\n+// or nil if AGENTFIELD_CONFIG_SOURCE is not set to \"db\".\n+// The returned function acquires configMu to prevent data races with\n+// concurrent readers of s.config.\n+func (s *AgentFieldServer) configReloadFn() handlers.ConfigReloadFunc {\n+\tif src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src != \"db\" {\n+\t\treturn nil\n+\t}\n+\treturn func() error {\n+\t\ts.configMu.Lock()\n+\t\tdefer s.configMu.Unlock()\n+\t\treturn overlayDBConfig(s.config, s.storage)\n+\t}\n+}\n+\n // Start initializes and starts the AgentFieldServer.\n func (s *AgentFieldServer) Start() error {\n \t// Setup routes", + "header": "@@ -423,6 +432,21 @@ func NewAgentFieldServer(cfg *config.Config) (*AgentFieldServer, error) {", + "new_count": 21, + "new_start": 432, + "old_count": 6, + "old_start": 423 + }, + { + "content": " \t\t\tlogger.Logger.Info().Msg(\"\ud83d\udccb Authorization admin routes registered\")\n \t\t}\n \n+\t\t// Config storage routes (admin-authenticated)\n+\t\t{\n+\t\t\tconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n+\t\t\tconfigHandlers.RegisterRoutes(agentAPI)\n+\t\t\tlogger.Logger.Info().Msg(\"Config storage routes registered\")\n+\t\t}\n+\n \t\t// Connector routes (authenticated with separate connector token)\n \t\tif s.config.Features.Connector.Enabled && s.config.Features.Connector.Token != \"\" {\n \t\t\tconnectorGroup := agentAPI.Group(\"/connector\")", + "header": "@@ -1529,6 +1553,13 @@ func (s *AgentFieldServer) setupRoutes() {", + "new_count": 13, + "new_start": 1553, + "old_count": 6, + "old_start": 1529 + }, + { + "content": " \t\t\t)\n \t\t\tconnectorHandlers.RegisterRoutes(connectorGroup)\n \n+\t\t\t// Config management routes for connector\n+\t\t\tconfigGroup := connectorGroup.Group(\"\")\n+\t\t\tconfigGroup.Use(middleware.ConnectorCapabilityCheck(\"config_management\", s.config.Features.Connector.Capabilities))\n+\t\t\t{\n+\t\t\t\tconfigHandlers := handlers.NewConfigStorageHandlers(s.storage, s.configReloadFn())\n+\t\t\t\tconfigHandlers.RegisterRoutes(configGroup)\n+\t\t\t}\n+\n \t\t\tlogger.Logger.Info().Msg(\"\ud83d\udd0c Connector routes registered\")\n \t\t}\n \t}", + "header": "@@ -1544,6 +1575,14 @@ func (s *AgentFieldServer) setupRoutes() {", + "new_count": 14, + "new_start": 1575, + "old_count": 6, + "old_start": 1544 + } + ], + "language": "go", + "lines_added": 39, + "lines_removed": 0, + "path": "control-plane/internal/server/server.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " }\n \n // Configuration\n-func (s *stubStorage) SetConfig(ctx context.Context, key string, value interface{}) error { return nil }\n-func (s *stubStorage) GetConfig(ctx context.Context, key string) (interface{}, error) {\n+func (s *stubStorage) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n+\treturn nil\n+}\n+func (s *stubStorage) GetConfig(ctx context.Context, key string) (*storage.ConfigEntry, error) {\n+\treturn nil, nil\n+}\n+func (s *stubStorage) ListConfigs(ctx context.Context) ([]*storage.ConfigEntry, error) {\n \treturn nil, nil\n }\n+func (s *stubStorage) DeleteConfig(ctx context.Context, key string) error { return nil }\n \n // Reasoner Performance and History\n func (s *stubStorage) GetReasonerPerformanceMetrics(ctx context.Context, reasonerID string) (*types.ReasonerPerformanceMetrics, error) {", + "header": "@@ -230,10 +230,16 @@ func (s *stubStorage) ListAgentGroups(ctx context.Context, teamID string) ([]typ", + "new_count": 16, + "new_start": 230, + "old_count": 10, + "old_start": 230 + } + ], + "language": "go", + "lines_added": 8, + "lines_removed": 2, + "path": "control-plane/internal/server/server_routes_test.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \treturn nil\n }\n \n-// SetConfig stores a configuration key-value pair in SQLite.\n-func (ls *LocalStorage) SetConfig(ctx context.Context, key string, value interface{}) error {\n-\t// Fast-fail if context is already cancelled\n+// SetConfig upserts a configuration entry in the database.\n+// On conflict (duplicate key), it increments the version and updates the value.\n+func (ls *LocalStorage) SetConfig(ctx context.Context, key string, value string, updatedBy string) error {\n \tif err := ctx.Err(); err != nil {\n \t\treturn err\n \t}\n \n-\t// TODO: Implement configuration storage in SQLite\n-\treturn fmt.Errorf(\"SetConfig not yet implemented for LocalStorage\")\n+\tdb := ls.requireSQLDB()\n+\tnow := time.Now().UTC()\n+\n+\tif ls.mode == \"postgres\" {\n+\t\t_, err := db.ExecContext(ctx, `\n+\t\t\tINSERT INTO config_storage (key, value, version, created_by, updated_by, created_at, updated_at)\n+\t\t\tVALUES ($1, $2, 1, $3, $3, $4, $4)\n+\t\t\tON CONFLICT (key) DO UPDATE SET\n+\t\t\t\tvalue = EXCLUDED.value,\n+\t\t\t\tversion = config_storage.version + 1,\n+\t\t\t\tupdated_by = EXCLUDED.updated_by,\n+\t\t\t\tupdated_at = EXCLUDED.updated_at`,\n+\t\t\tkey, value, updatedBy, now)\n+\t\treturn err\n+\t}\n+\n+\t// SQLite\n+\t_, err := db.ExecContext(ctx, `\n+\t\tINSERT INTO config_storage (key, value, version, created_by, updated_by, created_at, updated_at)\n+\t\tVALUES (?, ?, 1, ?, ?, ?, ?)\n+\t\tON CONFLICT (key) DO UPDATE SET\n+\t\t\tvalue = excluded.value,\n+\t\t\tversion = config_storage.version + 1,\n+\t\t\tupdated_by = excluded.updated_by,\n+\t\t\tupdated_at = excluded.updated_at`,\n+\t\tkey, value, updatedBy, updatedBy, now, now)\n+\treturn err\n }\n \n-// GetConfig retrieves a configuration value from SQLite by key.\n-func (ls *LocalStorage) GetConfig(ctx context.Context, key string) (interface{}, error) {\n-\t// Fast-fail if context is already cancelled\n+// GetConfig retrieves a configuration entry by key.\n+func (ls *LocalStorage) GetConfig(ctx context.Context, key string) (*ConfigEntry, error) {\n+\tif err := ctx.Err(); err != nil {\n+\t\treturn nil, err\n+\t}\n+\n+\tdb := ls.requireSQLDB()\n+\tvar entry ConfigEntry\n+\n+\tvar placeholder string\n+\tif ls.mode == \"postgres\" {\n+\t\tplaceholder = \"$1\"\n+\t} else {\n+\t\tplaceholder = \"?\"\n+\t}\n+\n+\trow := db.QueryRowContext(ctx,\n+\t\tfmt.Sprintf(`SELECT key, value, version, COALESCE(created_by, ''), COALESCE(updated_by, ''), created_at, updated_at\n+\t\tFROM config_storage WHERE key = %s`, placeholder), key)\n+\n+\terr := row.Scan(&entry.Key, &entry.Value, &entry.Version,\n+\t\t&entry.CreatedBy, &entry.UpdatedBy, &entry.CreatedAt, &entry.UpdatedAt)\n+\tif err != nil {\n+\t\tif errors.Is(err, sql.ErrNoRows) {\n+\t\t\treturn nil, nil\n+\t\t}\n+\t\treturn nil, fmt.Errorf(\"failed to get config %q: %w\", key, err)\n+\t}\n+\treturn &entry, nil\n+}\n+\n+// ListConfigs returns all stored configuration entries.\n+func (ls *LocalStorage) ListConfigs(ctx context.Context) ([]*ConfigEntry, error) {\n \tif err := ctx.Err(); err != nil {\n \t\treturn nil, err\n \t}\n \n-\t// TODO: Implement configuration retrieval from SQLite\n-\treturn nil, fmt.Errorf(\"GetConfig not yet implemented for LocalStorage\")\n+\tdb := ls.requireSQLDB()\n+\trows, err := db.QueryContext(ctx,\n+\t\t`SELECT key, value, version, COALESCE(created_by, ''), COALESCE(updated_by, ''), created_at, updated_at\n+\t\tFROM config_storage ORDER BY key`)\n+\tif err != nil {\n+\t\treturn nil, fmt.Errorf(\"failed to list configs: %w\", err)\n+\t}\n+\tdefer rows.Close()\n+\n+\tvar entries []*ConfigEntry\n+\tfor rows.Next() {\n+\t\tvar entry ConfigEntry\n+\t\tif err := rows.Scan(&entry.Key, &entry.Value, &entry.Version,\n+\t\t\t&entry.CreatedBy, &entry.UpdatedBy, &entry.CreatedAt, &entry.UpdatedAt); err != nil {\n+\t\t\treturn nil, fmt.Errorf(\"failed to scan config row: %w\", err)\n+\t\t}\n+\t\tentries = append(entries, &entry)\n+\t}\n+\treturn entries, rows.Err()\n+}\n+\n+// DeleteConfig removes a configuration entry by key.\n+func (ls *LocalStorage) DeleteConfig(ctx context.Context, key string) error {\n+\tif err := ctx.Err(); err != nil {\n+\t\treturn err\n+\t}\n+\n+\tdb := ls.requireSQLDB()\n+\tvar placeholder string\n+\tif ls.mode == \"postgres\" {\n+\t\tplaceholder = \"$1\"\n+\t} else {\n+\t\tplaceholder = \"?\"\n+\t}\n+\n+\tresult, err := db.ExecContext(ctx,\n+\t\tfmt.Sprintf(`DELETE FROM config_storage WHERE key = %s`, placeholder), key)\n+\tif err != nil {\n+\t\treturn fmt.Errorf(\"failed to delete config %q: %w\", key, err)\n+\t}\n+\trows, _ := result.RowsAffected()\n+\tif rows == 0 {\n+\t\treturn fmt.Errorf(\"config %q not found\", key)\n+\t}\n+\treturn nil\n }\n \n // SubscribeToMemoryChanges implements the StorageProvider SubscribeToMemoryChanges method using local pub/sub.", + "header": "@@ -5124,26 +5124,124 @@ func (ls *LocalStorage) UpdateAgentTrafficWeight(ctx context.Context, id string,", + "new_count": 124, + "new_start": 5124, + "old_count": 26, + "old_start": 5124 + } + ], + "language": "go", + "lines_added": 108, + "lines_removed": 10, + "path": "control-plane/internal/storage/local.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \t\t&DIDDocumentModel{},\n \t\t&AccessPolicyModel{},\n \t\t&AgentTagVCModel{},\n+\t\t&ConfigStorageModel{},\n \t}\n \n \tif err := gormDB.WithContext(ctx).AutoMigrate(models...); err != nil {", + "header": "@@ -233,6 +233,7 @@ func (ls *LocalStorage) autoMigrateSchema(ctx context.Context) error {", + "new_count": 7, + "new_start": 233, + "old_count": 6, + "old_start": 233 + } + ], + "language": "go", + "lines_added": 1, + "lines_removed": 0, + "path": "control-plane/internal/storage/migrations.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " }\n \n func (AgentTagVCModel) TableName() string { return \"agent_tag_vcs\" }\n+\n+// ConfigStorageModel stores configuration files in the database.\n+// Each record represents a named configuration (e.g. \"agentfield.yaml\")\n+// with versioning for audit trail.\n+type ConfigStorageModel struct {\n+\tID int64 `gorm:\"column:id;primaryKey;autoIncrement\"`\n+\tKey string `gorm:\"column:key;not null;uniqueIndex\"`\n+\tValue string `gorm:\"column:value;type:text;not null\"`\n+\tVersion int `gorm:\"column:version;not null;default:1\"`\n+\tCreatedBy *string `gorm:\"column:created_by\"`\n+\tUpdatedBy *string `gorm:\"column:updated_by\"`\n+\tCreatedAt time.Time `gorm:\"column:created_at;autoCreateTime\"`\n+\tUpdatedAt time.Time `gorm:\"column:updated_at;autoUpdateTime\"`\n+}\n+\n+func (ConfigStorageModel) TableName() string { return \"config_storage\" }", + "header": "@@ -472,3 +472,19 @@ type AgentTagVCModel struct {", + "new_count": 19, + "new_start": 472, + "old_count": 3, + "old_start": 472 + } + ], + "language": "go", + "lines_added": 16, + "lines_removed": 0, + "path": "control-plane/internal/storage/models.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": " \tActiveExecutions int\n }\n \n+// ConfigEntry represents a database-stored configuration file.\n+type ConfigEntry struct {\n+\tKey string `json:\"key\"`\n+\tValue string `json:\"value\"`\n+\tVersion int `json:\"version\"`\n+\tCreatedBy string `json:\"created_by,omitempty\"`\n+\tUpdatedBy string `json:\"updated_by,omitempty\"`\n+\tCreatedAt time.Time `json:\"created_at\"`\n+\tUpdatedAt time.Time `json:\"updated_at\"`\n+}\n+\n // StorageProvider is the interface for the primary data storage backend.\n type StorageProvider interface {\n \t// Lifecycle", + "header": "@@ -26,6 +26,17 @@ type RunSummaryAggregation struct {", + "new_count": 17, + "new_start": 26, + "old_count": 6, + "old_start": 26 + }, + { + "content": " \tUpdateAgentVersion(ctx context.Context, id string, version string) error\n \tUpdateAgentTrafficWeight(ctx context.Context, id string, version string, weight int) error\n \n-\t// Configuration\n-\tSetConfig(ctx context.Context, key string, value interface{}) error\n-\tGetConfig(ctx context.Context, key string) (interface{}, error)\n+\t// Configuration Storage (database-backed config files)\n+\tSetConfig(ctx context.Context, key string, value string, updatedBy string) error\n+\tGetConfig(ctx context.Context, key string) (*ConfigEntry, error)\n+\tListConfigs(ctx context.Context) ([]*ConfigEntry, error)\n+\tDeleteConfig(ctx context.Context, key string) error\n \n \t// Reasoner Performance and History\n \tGetReasonerPerformanceMetrics(ctx context.Context, reasonerID string) (*types.ReasonerPerformanceMetrics, error)", + "header": "@@ -118,9 +129,11 @@ type StorageProvider interface {", + "new_count": 11, + "new_start": 129, + "old_count": 9, + "old_start": 118 + } + ], + "language": "go", + "lines_added": 16, + "lines_removed": 3, + "path": "control-plane/internal/storage/storage.go", + "status": "modified" + }, + { + "hunks": [ + { + "content": "+-- +goose Up\n+-- +goose StatementBegin\n+CREATE TABLE IF NOT EXISTS config_storage (\n+ id BIGSERIAL PRIMARY KEY,\n+ key TEXT NOT NULL UNIQUE,\n+ value TEXT NOT NULL,\n+ version INTEGER NOT NULL DEFAULT 1,\n+ created_by TEXT,\n+ updated_by TEXT,\n+ created_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW(),\n+ updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()\n+);\n+\n+CREATE INDEX IF NOT EXISTS idx_config_storage_key ON config_storage(key);\n+-- +goose StatementEnd\n+\n+-- +goose Down\n+-- +goose StatementBegin\n+DROP INDEX IF EXISTS idx_config_storage_key;\n+DROP TABLE IF EXISTS config_storage;\n+-- +goose StatementEnd", + "header": "@@ -0,0 +1,21 @@", + "new_count": 21, + "new_start": 1, + "old_count": 0, + "old_start": 0 + } + ], + "language": "sql", + "lines_added": 21, + "lines_removed": 0, + "path": "control-plane/migrations/028_create_config_storage.sql", + "status": "added" + } + ], + "intent_gaps": [ + "**API Key Override Not Documented**: The PR description states precedence is 'env vars > DB config > file config > defaults' but doesn't explicitly document that API.Auth.APIKey from DB would override file config. This could be surprising behavior for operators.", + "**No Config Validation Endpoint**: The PR mentions storing config via API but doesn't provide a way to validate config before storing it. Users can store invalid YAML that breaks server startup on next reload.", + "**Missing Audit Logging**: While the DB stores `created_by` and `updated_by`, there's no comprehensive audit log of config changes with diffs. The PR mentions 'versioning for audit trail' in the model but the actual audit trail features aren't implemented.", + "**No Config Diff/Compare**: The PR enables storing multiple versions but doesn't provide API endpoints to compare versions or view historical values.", + "**Connector Config Scope Ambiguity**: The PR mentions 'connector-scoped config routes' but it's unclear if these routes allow the connector to manage its own config section only, or any config. The capability is named `config_management` but the scope isn't clearly defined." + ], + "pr_narrative": "This PR implements database-backed configuration storage for the AgentField control plane, enabling remote configuration management via API and connector integration.\n\n**Core Changes:**\n\n1. **Database Schema (migration 028)**: Adds `config_storage` table with fields: id, key (unique), value (text), version, created_by, updated_by, timestamps. Supports both PostgreSQL and SQLite via Goose migration.\n\n2. **Storage Layer (local.go:5129-5245)**: Implements CRUD operations on LocalStorage:\n - `SetConfig`: Upsert with version increment (SQLite uses `?` placeholders, PostgreSQL uses `$1`)\n - `GetConfig`: Returns ConfigEntry with COALESCE for null handling\n - `ListConfigs`: Ordered by key\n - `DeleteConfig`: Returns error if key not found\n\n3. **GORM Model (models.go:476-490)**: Adds `ConfigStorageModel` with auto-migration support via migrations.go:236.\n\n4. **HTTP Handlers (config_storage.go)**: Full CRUD API under `/api/v1/configs`:\n - GET /configs - List all\n - GET /configs/:key - Get specific\n - PUT /configs/:key - Create/update (raw body = value, X-Updated-By header)\n - DELETE /configs/:key - Remove\n - POST /configs/reload - Trigger hot-reload (only if AGENTFIELD_CONFIG_SOURCE=db)\n\n5. **Config Loading (config_db.go)**: Implements `overlayDBConfig` called during server initialization (server.go:107-112) when `AGENTFIELD_CONFIG_SOURCE=db`:\n - Reads config from DB key `agentfield.yaml`\n - Parses YAML into config struct\n - Merges field-by-field (only non-zero values)\n - **CRITICAL**: Preserves `cfg.Storage` from file/env (bootstrap safety - can't get DB connection from DB)\n - Also excludes connector token/capabilities from DB merge (security-sensitive)\n\n6. **Connector Integration (server.go:1573-1578)**: Adds connector-scoped config routes gated by `config_management` capability check middleware.\n\n7. **Default Config (agentfield.yaml)**: Adds `config_management` capability to connector capabilities (lines 149-151).\n\n**Flow:**\n1. Server starts, creates storage provider\n2. If `AGENTFIELD_CONFIG_SOURCE=db`, calls `overlayDBConfig(cfg, storage)`\n3. Storage section preserved from file/env, rest merged from DB\n4. Server initializes with merged config\n5. API endpoints allow runtime config CRUD\n6. POST /configs/reload triggers re-merge without restart (if env var set)", + "risk_surfaces": [ + "**Bootstrap Safety Gap (config_db.go:33-45)**: The storage section is preserved, but other security-sensitive configs (API.Auth.APIKey, Features.DID.Authorization.AdminToken, Features.DID.Authorization.InternalToken) are NOT explicitly excluded from DB overlay. If these are set in DB config, they could override file/env values, creating a security risk where DB-stored credentials take precedence.", + "**Config Reload Race Condition (server.go:435-442, config_storage.go:114-128)**: The `configReloadFn()` closure captures `s.config` pointer and `s.storage`. When called, it re-runs `overlayDBConfig` which modifies the config struct in-place. If other goroutines are reading config values during reload, they may see inconsistent/partial state. No mutex protects the config struct.", + "**Version Increment Race (local.go:5129-5161)**: `SetConfig` uses version increment logic (`version = version + 1`) but doesn't use atomic operations or row-level locking. Concurrent updates to the same key could result in lost updates or version collisions, especially under high load.", + "**YAML Validation Gap (config_storage.go:67-78)**: The `SetConfig` handler accepts raw YAML/text without any validation that it parses as valid YAML or that it conforms to the expected config schema. Invalid YAML stored in DB will cause `overlayDBConfig` to fail on next reload, potentially preventing server startup.", + "**Merge Logic Maintenance Burden (config_db.go:54-103)**: The `mergeDBConfig` function manually merges each field. When new config fields are added to the `config.Config` struct, developers must remember to add corresponding merge logic here. Missing fields will silently not be overlayable from DB, creating confusion.", + "**Connector Capability Bypass Risk (server.go:1574)**: The connector config routes use `middleware.ConnectorCapabilityCheck(\"config_management\", ...)`. If the capability check middleware has bugs or is bypassed, the connector could modify config without proper authorization. The middleware implementation should be reviewed.", + "**Test Coverage Gap (server_routes_test.go)**: The test file adds stub implementations but doesn't add actual tests for the new config storage routes. The `config_management` capability is added to test config but no tests verify the routes work correctly.", + "**Migration Ordering (migrations/028_create_config_storage.sql)**: Migration 028 creates the config_storage table. If this migration fails or is skipped, the server will fail at runtime when trying to use config storage. The error handling in `overlayDBConfig` logs a warning but continues startup, which could mask issues." + ], + "stats": { + "files_added": 3, + "files_modified": 7, + "files_removed": 0, + "files_renamed": 0, + "test_files_changed": 1, + "test_to_code_ratio": 0.1111111111111111, + "total_additions": 455, + "total_deletions": 15, + "total_files": 10 + }, + "unrelated_changes": [] + }, + "budget": { + "budget_exhausted": true, + "cost_breakdown": { + "adversary": 0, + "anatomy": 0, + "coverage": 0, + "cross_ref": 0, + "intake": 0, + "meta_selectors": 0, + "output": 0, + "review": 0, + "synthesis": 0 + }, + "max_cost_usd": 3, + "max_duration_seconds": 2700, + "total_cost_usd": 0 + }, + "intake": { + "ai_generated": 0.6666666666666666, + "areas_touched": [ + "database", + "api", + "tests", + "config" + ], + "complexity": "complex", + "languages": [ + "go", + "sql", + "yaml" + ], + "pr_summary": "## Summary\n- Add `config_storage` table (GORM model + Goose migration 028) for storing configuration files in the database\n- Implement `SetConfig`/`GetConfig`/`ListConfigs`/`DeleteConfig` on the `StorageProvider` interface (works on both SQLite and PostgreSQL)\n- Add `AGENTFIELD_CONFIG_SOURCE=db` environment variable to load config from the database at startup (overlays on top of file config, preserving storage section for bootstrap)\n- Add CRUD API endpoints at `GET/PUT/DELETE /api/v1/configs/:key`\n- Add connector-scoped config routes gated by `config_management` capability\n- Add `config_management` capability to default `agentfield.yaml`\n\n## How It Works\n1. **Store config in DB**: `PUT /api/v1/configs/agentfield.yaml` with YAML body\n2. **Load from DB at startup**: Set `AGENTFIELD_CONFIG_SOURCE=db` \u2192 server reads config from DB after storage init\n3. **Remote management**: SaaS \u2192 connector \u2192 `config_management` capability \u2192 CP config API\n4. **Precedence**: env vars > DB config > file config > defaults\n5. **Bootstrap safety**: The `storage` section is never overridden from DB (DB connection can't come from DB)\n\n## Related PRs\n- Connector: Agent-Field/connector (config_management capability)\n- hax-sdk: Agent-Field/hax-sdk (config editor UI)\n\n## Test plan\n- [x] `go build ./...` passes\n- [x] Server tests pass\n- [x] Storage test failure is pre-existing (FTS5 not available)\n- [ ] Manual test: create config via API, verify it loads on restart with `AGENTFIELD_CONFIG_SOURCE=db`\n- [ ] Manual test: verify connector flow end-to-end\n\n\ud83e\udd16 Generated with [Claude Code](https://claude.com/claude-code)", + "pr_type": "feature", + "review_depth": "standard", + "risk_signals": [ + "modifies data model or schema-affecting code", + "changes API surface or request/response behavior", + "includes configuration changes", + "test behavior updated" + ] + }, + "phases_completed": [ + "intake", + "anatomy", + "meta_selectors", + "review", + "adversary", + "cross_ref", + "coverage", + "synthesis", + "output" + ], + "plan": { + "ai_adjusted": false, + "cross_ref_hints": [], + "dimensions": [ + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 120, + "max_reference_follows": 5 + }, + "context_files": [ + "control-plane/internal/server/config_db.go", + "control-plane/internal/handlers/config_storage.go" + ], + "id": "semantic_semantic-001", + "name": "Config Reload Race Condition", + "priority": 10, + "review_prompt": "CRITICAL: The configReloadFn function in control-plane/internal/server/server.go:439-441 modifies s.config in-place via overlayDBConfig but does NOT use the configMu mutex defined in the server struct (line 82). This creates a data race when concurrent goroutines read config values during reload.\n\nINVESTIGATION STEPS:\n1. Verify that configMu is defined but unused in configReloadFn\n2. Check all places where s.config is accessed (search for s.config. throughout server.go)\n3. Identify which goroutines might read config during runtime (health checks, cleanup services, etc.)\n4. Determine if overlayDBConfig modifies the config struct atomically or field-by-field\n\nVERIFICATION:\n- The race condition exists if any goroutine reads s.config fields while reload is in progress\n- This is a SEMANTIC bug because it can cause inconsistent config state, not a style issue\n- Suggest fix: Add s.configMu.Lock() at start of returned function and defer s.configMu.Unlock()", + "target_files": [ + "control-plane/internal/server/server.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/storage/storage.go" + ], + "id": "mechanical_mech-001", + "name": "MockStorageProvider interface compliance in config_test.go", + "priority": 10, + "review_prompt": "The StorageProvider interface in control-plane/internal/storage/storage.go was updated with new method signatures:\n\n1. SetConfig changed from:\n SetConfig(ctx context.Context, key string, value interface{}) error\n to:\n SetConfig(ctx context.Context, key string, value string, updatedBy string) error\n\n2. GetConfig changed from:\n GetConfig(ctx context.Context, key string) (interface{}, error)\n to:\n GetConfig(ctx context.Context, key string) (*ConfigEntry, error)\n\n3. Two new required methods were added:\n ListConfigs(ctx context.Context) ([]*ConfigEntry, error)\n DeleteConfig(ctx context.Context, key string) error\n\nThe MockStorageProvider in control-plane/internal/handlers/ui/config_test.go (lines 289-297) still has the OLD signatures. This will cause compilation failures.\n\nVerify the fix:\n1. Check lines 289-297 in config_test.go - both SetConfig and GetConfig need signature updates\n2. Add the missing ListConfigs method\n3. Add the missing DeleteConfig method\n4. Run 'go build ./...' in control-plane to confirm compilation succeeds\n\nThe updated interface definition is at control-plane/internal/storage/storage.go:133-136", + "target_files": [ + "control-plane/internal/handlers/ui/config_test.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/storage/storage.go" + ], + "id": "mechanical_mech-002", + "name": "MockStorageProvider interface compliance in execute_test.go", + "priority": 10, + "review_prompt": "The StorageProvider interface in control-plane/internal/storage/storage.go was updated with new method signatures:\n\n1. SetConfig changed from:\n SetConfig(ctx context.Context, key string, value interface{}) error\n to:\n SetConfig(ctx context.Context, key string, value string, updatedBy string) error\n\n2. GetConfig changed from:\n GetConfig(ctx context.Context, key string) (interface{}, error)\n to:\n GetConfig(ctx context.Context, key string) (*ConfigEntry, error)\n\n3. Two new required methods were added:\n ListConfigs(ctx context.Context) ([]*ConfigEntry, error)\n DeleteConfig(ctx context.Context, key string) error\n\nThe MockStorageProvider in control-plane/internal/handlers/execute_test.go (lines 173-178) still has the OLD signatures. This will cause compilation failures.\n\nVerify the fix:\n1. Check lines 173-178 in execute_test.go - both SetConfig and GetConfig need signature updates\n2. Add the missing ListConfigs method\n3. Add the missing DeleteConfig method\n4. Run 'go build ./...' in control-plane to confirm compilation succeeds\n\nThe updated interface definition is at control-plane/internal/storage/storage.go:133-136", + "target_files": [ + "control-plane/internal/handlers/execute_test.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 120, + "max_reference_follows": 5 + }, + "context_files": [ + "control-plane/internal/config/config.go", + "control-plane/internal/handlers/config_storage.go" + ], + "id": "semantic_semantic-002", + "name": "Security-Sensitive Config Override from DB", + "priority": 9, + "review_prompt": "CRITICAL: The mergeDBConfig function in control-plane/internal/server/config_db.go:54-103 merges config from DB but only explicitly protects the Storage section (lines 32-33, 44-45). However, other security-sensitive fields like API.Auth.APIKey, Features.DID.Authorization.AdminToken, and Features.DID.Authorization.InternalToken are NOT protected and can be overridden from DB config.\n\nINVESTIGATION STEPS:\n1. Review the mergeDBConfig function to identify which fields are merged vs protected\n2. Check the config.Config struct in control-plane/internal/config/config.go for security-sensitive fields\n3. Verify that API.Auth.APIKey, AdminToken, InternalToken, and Connector.Token are NOT in the merge logic\n4. Check if the comment on lines 90-92 about connector config is actually enforced in code\n\nVERIFICATION:\n- This is a SEMANTIC security issue: DB-stored credentials could override file/env values\n- An attacker with DB write access could escalate privileges by setting AdminToken in DB config\n- The PR description claims 'connector token/capabilities' are excluded but verify this is actually implemented\n- Suggest fix: Add explicit protection for all security-sensitive tokens/keys similar to Storage", + "target_files": [ + "control-plane/internal/server/config_db.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 120, + "max_reference_follows": 5 + }, + "context_files": [ + "control-plane/internal/server/config_db.go", + "control-plane/internal/server/server.go" + ], + "id": "semantic_semantic-003", + "name": "Invalid YAML Config Storage and Reload Failure", + "priority": 8, + "review_prompt": "HIGH: The SetConfig handler in control-plane/internal/handlers/config_storage.go:67-101 accepts raw YAML/text body without any validation that it parses as valid YAML or conforms to the expected config schema. Invalid YAML stored in DB will cause overlayDBConfig (config_db.go:37) to fail on next reload, potentially preventing server startup or causing runtime errors.\n\nINVESTIGATION STEPS:\n1. Review SetConfig handler to confirm no YAML validation is performed before storing\n2. Check overlayDBConfig to see how it handles YAML unmarshal errors\n3. Verify that invalid YAML in DB causes server startup failure or just a warning\n4. Check if there's any way to recover from invalid YAML in DB (delete via API, manual DB edit)\n\nVERIFICATION:\n- This is a SEMANTIC issue: storing invalid data can break server functionality\n- The current code at config_db.go:37-39 returns error if YAML unmarshal fails\n- At server.go:109-111, this error only prints a warning but doesn't prevent startup\n- However, the server continues with potentially partial/inconsistent config\n- Suggest fix: Add YAML validation in SetConfig before storing, or implement config validation endpoint", + "target_files": [ + "control-plane/internal/handlers/config_storage.go" + ] + }, + { + "budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + }, + "context_files": [ + "control-plane/internal/storage/storage.go" + ], + "id": "mechanical_mech-003", + "name": "ConfigEntry type import in test mocks", + "priority": 8, + "review_prompt": "The updated GetConfig method now returns *ConfigEntry instead of interface{}. The ConfigEntry type is defined in control-plane/internal/storage/storage.go (lines 29-38).\n\nWhen updating the MockStorageProvider implementations in:\n- control-plane/internal/handlers/ui/config_test.go\n- control-plane/internal/handlers/execute_test.go\n\nEnsure that:\n1. The storage package is properly imported (it should already be imported as the mocks implement StorageProvider)\n2. The GetConfig method returns (*storage.ConfigEntry, error) not (*ConfigEntry, error) - verify the import alias\n3. Any test code that calls GetConfig and expects interface{} will need to be updated to handle *ConfigEntry\n\nCheck for any test assertions that might break due to the type change from interface{} to *ConfigEntry.", + "target_files": [ + "control-plane/internal/handlers/ui/config_test.go", + "control-plane/internal/handlers/execute_test.go" + ] + } + ], + "total_budget": { + "max_child_spawns": 2, + "max_cost_usd": 0.5, + "max_duration_seconds": 60, + "max_reference_follows": 3 + } + } + }, + "pr_url": "https://github.com/Agent-Field/agentfield/pull/254", + "review": { + "body": "## \ud83d\udd34 PR-AF Review \u2014 **Needs Major Rework**\n\n*Automated multi-agent code review \u00b7 [PR-AF](https://github.com/Agent-Field/agentfield) built with [AgentField](https://github.com/Agent-Field/agentfield)*\n\n> **17 findings** \u00b7 \ud83d\udd34 13 critical \u00b7 \ud83d\udfe0 3 important \u00b7 \ud83d\udd35 0 suggestions \u00b7 \u26aa 0 nitpicks\n\n
\nPR Overview\n\n## Summary\n- Add `config_storage` table (GORM model + Goose migration 028) for storing configuration files in the database\n- Implement `SetConfig`/`GetConfig`/`ListConfigs`/`DeleteConfig` on the `StorageProvider` interface (works on both SQLite and PostgreSQL)\n- Add `AGENTFIELD_CONFIG_SOURCE=db` environment variable to load config from the database at startup (overlays on top of file config, preserving storage section for bootstrap)\n- Add CRUD API endpoints at `GET/PUT/DELETE /api/v1/configs/:key`\n- Add connector-scoped config routes gated by `config_management` capability\n- Add `config_management` capability to default `agentfield.yaml`\n\n## How It Works\n1. **Store config in DB**: `PUT /api/v1/configs/agentfield.yaml` with YAML body\n2. **Load from DB at startup**: Set `AGENTFIELD_CONFIG_SOURCE=db` \u2192 server reads config from DB after storage init\n3. **Remote management**: SaaS \u2192 connector \u2192 `config_management` capability \u2192 CP config API\n4. **Precedence**: env vars > DB config > file config > defaults\n5. **Bootstrap safety**: The `storage` section is never overridden from DB (DB connection can't come from DB)\n\n## Related PRs\n- Connector: Agent-Field/connector (config_management capability)\n- hax-sdk: Agent-Field/hax-sdk (config editor UI)\n\n## Test plan\n- [x] `go build ./...` passes\n- [x] Server tests pass\n- [x] Storage test failure is pre-existing (FTS5 not available)\n- [ ] Manual test: create config via API, verify it loads on restart with `AGENTFIELD_CONFIG_SOURCE=db`\n- [ ] Manual test: verify connector flow end-to-end\n\n\ud83e\udd16 Generated with [Claude Code](https://claude.com/claude-code)\n\n
\n\n### Key Findings\n\n**16 issue(s) should be addressed before merge:**\n\n- \ud83d\udd34 **MockStorageProvider SetConfig and GetConfig have outdated signatures** (`control-plane/internal/handlers/execute_test.go:173`) \u2014 The MockStorageProvider in execute_test.go has the old method signatures for SetConfig and GetConfig that don't match the updated StorageProvider interface.\n- \ud83d\udd34 **Missing storage import causes undefined type error** (`control-plane/internal/handlers/execute_test.go:176`) \u2014 The MockStorageProvider.GetConfig method references `*storage.ConfigEntry` but the storage package is not imported in execute_test.go.\n- \ud83d\udd34 **MockStorageProvider has outdated SetConfig and GetConfig signatures causing compilation failure** (`control-plane/internal/handlers/ui/config_test.go:289`) \u2014 The `MockStorageProvider` in `config_test.go` has **outdated method signatures** that do not match the updated `StorageProvider` interface defined in `storage.go`.\n- \ud83d\udd34 **DID Authorization tokens (AdminToken/InternalToken) can be overridden from DB config** (`control-plane/internal/server/config_db.go:86`) \u2014 The `mergeDBConfig` function merges `Features.DID` as an entire struct when `dbCfg.Features.DID.Method != \"\"`.\n- \ud83d\udd34 **Mock GetConfig returns wrong type - interface{} instead of *storage.ConfigEntry** (`control-plane/internal/handlers/ui/config_test.go:294`) \u2014 The MockStorageProvider.GetConfig method in config_test.go returns `(interface{}, error)` but the StorageProvider interface defines it as `(*ConfigEntry, error)`.\n- \ud83d\udd34 **Mock SetConfig has wrong signature - missing updatedBy parameter** (`control-plane/internal/handlers/ui/config_test.go:289`) \u2014 The MockStorageProvider.SetConfig method has signature `(ctx context.Context, key string, value interface{})` but the StorageProvider interface defines it as `(ctx context.Context, key string, value s\u2026\n- \ud83d\udd34 **Data Race: Config Reload Function Modifies Shared Config Without Synchronization** (`control-plane/internal/server/server.go:433`) \u2014 The configReloadFn() method returns a function that calls overlayDBConfig(s.config, s.storage) which directly modifies the shared s.config struct.\n- \ud83d\udd34 **Systemic configuration merge vulnerability enables multiple authentication bypass vectors** (`control-plane/internal/server/config_db.go:52`) \u2014 The mergeDBConfig function has a systemic security control gap where comments claim protection for security-sensitive fields, but the actual implementation only explicitly preserves Storage config (li\u2026\n- \u2026 and 8 more (see All Findings by Severity)\n\n**Files with findings:** `control-plane/internal/handlers/config_storage.go`, `control-plane/internal/handlers/execute_test.go`, `control-plane/internal/handlers/ui/config_test.go`, `control-plane/internal/server/config_db.go`, `control-plane/internal/server/server.go`\n\n
\nAll Findings by Severity\n\n#### \ud83d\udd34 Critical (13)\n\n- **MockStorageProvider SetConfig and GetConfig have outdated signatures** `control-plane/internal/handlers/execute_test.go:173`\n- **Missing storage import causes undefined type error** `control-plane/internal/handlers/execute_test.go:176`\n- **MockStorageProvider has outdated SetConfig and GetConfig signatures causing compilation failure** `control-plane/internal/handlers/ui/config_test.go:289`\n- **DID Authorization tokens (AdminToken/InternalToken) can be overridden from DB config** `control-plane/internal/server/config_db.go:86`\n- **Mock GetConfig returns wrong type - interface{} instead of *storage.ConfigEntry** `control-plane/internal/handlers/ui/config_test.go:294`\n- **Mock SetConfig has wrong signature - missing updatedBy parameter** `control-plane/internal/handlers/ui/config_test.go:289`\n- **Data Race: Config Reload Function Modifies Shared Config Without Synchronization** `control-plane/internal/server/server.go:433`\n- **Systemic configuration merge vulnerability enables multiple authentication bypass vectors** `control-plane/internal/server/config_db.go:52`\n- **Systemic DB Config Security Control Gap - Multiple Critical Tokens Unprotected** `control-plane/internal/server/config_db.go:19`\n- **Complete System Compromise via Coordinated DB Config Injection** `control-plane/internal/server/config_db.go:82`\n- **Systemic DB Config Security Control Gap Enables Total Authentication Bypass** `control-plane/internal/server/config_db.go:32`\n- **Systemic Control Gap: Inconsistent Application of Security-Sensitive Field Protection** `control-plane/internal/server/config_db.go:32`\n- **API.Auth.APIKey can be overridden from DB config - no protection implemented** `control-plane/internal/server/config_db.go:94`\n\n#### \ud83d\udfe0 Important (3)\n\n- **SetConfig handler stores invalid YAML without validation** `control-plane/internal/handlers/config_storage.go:67`\n- **Approval.WebhookSecret can be overridden from DB config** `control-plane/internal/server/config_db.go:82`\n- **Comment claims connector token/capabilities are excluded but no enforcement in code** `control-plane/internal/server/config_db.go:90`\n\n
\n\n
\nReview Process Details\n\n**Dimensions Analyzed (6):**\n\n- **Config Reload Race Condition** \u2014 1 file(s)\n- **MockStorageProvider interface compliance in config_test.go** \u2014 1 file(s)\n- **MockStorageProvider interface compliance in execute_test.go** \u2014 1 file(s)\n- **Security-Sensitive Config Override from DB** \u2014 1 file(s)\n- **Invalid YAML Config Storage and Reload Failure** \u2014 1 file(s)\n- **ConfigEntry type import in test mocks** \u2014 2 file(s)\n\n**Meta-Dimension Lenses (3):**\n\n- **Semantic** \u2014 4 dimension(s), 85% coverage confidence\n- **Mechanical** \u2014 3 dimension(s), 95% coverage confidence\n- **Systemic** \u2014 5 dimension(s), 85% coverage confidence\n\n**Cross-Reference & Adversary Analysis:**\n\n- **7** compound finding(s) synthesized\n\n
\n\n
\nPipeline Stats\n\n| Metric | Value |\n|--------|-------|\n| Duration | 2867.2s |\n| Agent invocations | 20 |\n| Coverage iterations | 0 |\n| Estimated cost | N/A (provider does not report cost) |\n| Budget exhausted | Yes (timeout: 2867s > 2700s limit) |\n| PR type | feature |\n| Complexity | complex |\n\n
\n\nReview ID: `rev_2947062915e9`", + "comments": [ + { + "body": "\ud83d\udd34 **[CRITICAL] DID Authorization tokens (AdminToken/InternalToken) can be overridden from DB config**\n\nThe `mergeDBConfig` function merges `Features.DID` as an entire struct when `dbCfg.Features.DID.Method != \"\"`. This is dangerous because `DIDConfig` contains security-sensitive authorization tokens (`AdminToken` and `InternalToken`).\n\n**The vulnerability:** If an attacker with database write access sets `features.did.method` to any non-empty value in the DB-stored config, the entire `DIDConfig` struct from the DB overwrites the file/env config, including:\n- `AdminToken`: Used for admin operations like tag approval and policy management\n- `InternalToken`: Used for internal authentication when forwarding execution requests to agents\n\n**Attack scenario:**\n1. Attacker gains DB write access\n2. Attacker inserts a malicious config via `PUT /api/v1/configs/agentfield.yaml` with `features.did.method: key` and `features.did.authorization.admin_token: attacker-controlled-token`\n3. On next server start or config reload, the attacker's token replaces the legitimate admin token\n4. Attacker can now authenticate as admin using their token\n\n**Expected behavior:** Similar to how `Storage` is preserved (lines 33, 45), security-sensitive tokens should be explicitly protected from DB override.\n\n---\n\n> Step 1: config_db.go:87-89 checks `if dbCfg.Features.DID.Method != \"\"` and assigns entire `dbCfg.Features.DID` to `target.Features.DID`. Step 2: config.go:99-135 shows DIDConfig contains AuthorizationConfig with AdminToken (line 125) and InternalToken (line 129). Step 3: When DID struct is assigned, ALL fields including Authorization are overwritten. Step 4: This allows DB-stored tokens to replace file/env tokens, enabling privilege escalation.\n\n**\ud83d\udca1 Suggested Fix**\n\nChange the DID merge logic to preserve `Authorization.AdminToken` and `Authorization.InternalToken` from the original config. Only merge non-sensitive fields like `Method`, `KeyAlgorithm`, etc. For example:\n\n```go\n// Save sensitive tokens before merge\nsavedAdminToken := target.Features.DID.Authorization.AdminToken\nsavedInternalToken := target.Features.DID.Authorization.InternalToken\n\nif dbCfg.Features.DID.Method != \"\" {\n target.Features.DID = dbCfg.Features.DID\n // Restore security-sensitive fields\n target.Features.DID.Authorization.AdminToken = savedAdminToken\n target.Features.DID.Authorization.InternalToken = savedInternalToken\n}\n```\n\n---\n*`Security-Sensitive Field Protection in DB Config Merge` \u00b7 confidence 95%*", + "line": 86, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Data Race: Config Reload Function Modifies Shared Config Without Synchronization**\n\nThe configReloadFn() method returns a function that calls overlayDBConfig(s.config, s.storage) which directly modifies the shared s.config struct. This creates a data race because the returned function is called asynchronously (likely from a signal handler or watcher) while dozens of goroutines concurrently read from s.config fields without any synchronization mechanism.\n\nThe AgentFieldServer struct includes a configMu mutex field (line 82) that was intended to protect these operations, but it is never locked in configReloadFn(). This means concurrent reads during a config reload can observe partially updated or inconsistent configuration values, leading to undefined behavior.\n\n---\n\n> Line 82: configMu field exists in struct but is unused\n> Line 440-441: Direct modification of s.config without lock\n> OverlayDBConfig modifies s.config fields via mergeDBConfig()\n\n**\ud83d\udca1 Suggested Fix**\n\nAcquire the configMu lock before modifying s.config in the returned function:\n\nfunc (s *AgentFieldServer) configReloadFn() handlers.ConfigReloadFunc {\n if src := os.Getenv(\"AGENTFIELD_CONFIG_SOURCE\"); src != \"db\" {\n return nil\n }\n return func() error {\n s.configMu.Lock()\n defer s.configMu.Unlock()\n return overlayDBConfig(s.config, s.storage)\n }\n}\n\nAdditionally, all read access to s.config fields throughout the codebase should also acquire at least a read lock (RLock) to prevent data races during concurrent reads.\n\n---\n*`Data Race in Config Reload` \u00b7 confidence 95%*", + "line": 433, + "path": "control-plane/internal/server/server.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Systemic configuration merge vulnerability enables multiple authentication bypass vectors**\n\nThe mergeDBConfig function has a systemic security control gap where comments claim protection for security-sensitive fields, but the actual implementation only explicitly preserves Storage config (lines 33, 45). This creates multiple authentication bypass vectors through a shared vulnerable code pattern.\n\n**The compound risk:** An attacker with database write access can override ALL critical authentication/authorization tokens by inserting malicious YAML into the database config:\n\n1. **API Authentication Bypass** (lines 94-97): Comment claims 'never override API key from DB for security' but code only merges CORS settings. The API.Auth.APIKey can be overridden from DB, allowing attacker to authenticate with their own key.\n\n2. **Admin Privilege Escalation** (lines 87-89): Features.DID is merged entirely when Method != '', which includes Authorization.AdminToken. Attacker can set their own admin token to gain administrative access to tag approval and policy management routes.\n\n3. **Agent Impersonation** (lines 87-89): Same DID merge includes Authorization.InternalToken, which is sent as Authorization: Bearer header when control plane forwards execution requests to agents. Attacker can impersonate the control plane to agents with RequireOriginAuth enabled.\n\n4. **Approval System Compromise** (lines 82-84): AgentField.Approval config including WebhookSecret is entirely merged from DB. Attacker can manipulate approval workflows and potentially bypass approval requirements.\n\n**Why this is worse than individual findings:** The shared merge pattern suggests a developer misunderstanding of the actual protection scope. Only Storage is explicitly preserved (bootstrap problem), while other security-sensitive fields have only comments claiming protection. This indicates a systemic control gap where the security model is inconsistent and incomplete. Fixing one field won't address the underlying architectural issue.\n\n---\n\n> Evidence from code review:\\n1. Line 33, 45: Only Storage config is explicitly saved and restored (correct protection for bootstrap problem)\\n2. Line 82-84: AgentField.Approval (including WebhookSecret) is entirely merged from DB without protection\\n3. Line 87-89: Features.DID (including Authorization.AdminToken and InternalToken) is entirely merged when Method != ''\\n4. Line 94-97: Comment claims API key protection but only CORS is handled, not Auth\\n5. Line 90-92: Comment claims Connector token protection but no enforcement code exists\\n6. config.go line 207-212: AuthConfig contains APIKey string field\\n7. config.go line 112-135: AuthorizationConfig contains AdminToken (line 125) and InternalToken (line 129)\\n8. config.go line 46: ApprovalConfig contains WebhookSecret\\n\\nAttack scenario: INSERT INTO config (key, value) VALUES ('agentfield.yaml', 'api:\\n auth:\\n api_key: attacker-controlled-key\\nfeatures:\\n did:\\n method: key\\n authorization:\\n admin_token: attacker-admin-token\\n internal_token: attacker-internal-token\\nagentfield:\\n approval:\\n webhook_secret: attacker-webhook-secret')\n\n**\ud83d\udca1 Suggested Fix**\n\nImplement a comprehensive security-sensitive field protection system:\\n1. Create an explicit whitelist approach for DB-configurable fields instead of selective merging\\n2. Add a security audit comment block at the top of mergeDBConfig listing ALL protected fields\\n3. Implement a struct tag system (e.g., `dbconfig:\"protected\"`) to mark fields that should never come from DB\\n4. Add validation tests that verify no security-sensitive fields can be set from DB config\\n5. Consider encrypting security-sensitive config values in the database\\n6. Log all config changes from DB with before/after values for security-sensitive fields\n\n---\n*`Compound Analysis` \u00b7 confidence 95%*", + "line": 52, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Systemic DB Config Security Control Gap - Multiple Critical Tokens Unprotected**\n\nThe database configuration overlay mechanism (`overlayDBConfig`) contains a systemic security control gap where security-sensitive tokens are not protected from DB-based override, despite comments claiming protection exists. This compound issue creates a complete authentication bypass vulnerability.\n\n**The compound vulnerability:**\n\n1. **Pattern of False Security Claims**: Lines 90-92 and 94 contain comments stating that connector tokens and API keys are intentionally NOT merged from DB, but these protections are NOT actually implemented in code. This creates a dangerous false sense of security.\n\n2. **Multiple Critical Token Override**: An attacker with DB write access can override ALL of these tokens simultaneously:\n - `API.Auth.APIKey` (controls all API access) - line 209 in config.go\n - `AgentField.Approval.WebhookSecret` (controls webhook verification) - line 47 in config.go\n - `Features.DID.Authorization.AdminToken` (controls admin operations) - line 125 in config.go\n - `Features.DID.Authorization.InternalToken` (controls agent authentication) - line 129 in config.go\n - `Features.Connector.Token` (commented as protected but not enforced) - line 89 in config.go\n\n3. **Inconsistent Protection Logic**: While `Storage` is properly protected with save/restore pattern (lines 33, 45), equally or more sensitive fields like APIKey and WebhookSecret are NOT protected using the same pattern, despite being security-critical.\n\n4. **Hot-reload Amplification**: The `/api/v1/configs/reload` endpoint (config_storage.go:114-128) allows immediate application of malicious config changes without server restart, enabling rapid exploitation.\n\n5. **Zero Validation**: The SetConfig storage method (local.go:5129-5161) accepts arbitrary YAML content without validating or rejecting sensitive field modifications.\n\n**Complete Attack Chain:**\n1. Attacker gains DB write access OR compromises an account with `config_management` capability\n2. Attacker uploads malicious config YAML with attacker-controlled tokens via `PUT /api/v1/configs/agentfield.yaml`\n3. Attacker triggers config reload via `POST /api/v1/configs/reload`\n4. Server immediately loads attacker's tokens from DB, replacing legitimate file/env-configured tokens\n5. Attacker can now authenticate with their own API key, forge webhook approvals, perform admin operations with their admin token, and authenticate to agents with their internal token\n\n**Risk Escalation:** This is worse than individual findings because it allows COMPLETE SYSTEM COMPROMISE through a single config write operation, bypassing all authentication layers simultaneously.\n\n---\n\n> Evidence of the compound control gap:\n> \n> 1. **False security claims in comments** (config_db.go:90-97):\n> Line 90-92: 'NOTE: Connector config (token, capabilities) is intentionally NOT merged from DB.'\n> Line 94: 'API settings (but never override API key from DB for security)'\n> Yet NO code enforces these protections - only CORS is merged conditionally at lines 95-97.\n> \n> 2. **Missing protection for APIKey** (config_db.go:94-97):\n> The comment says API key should never be overridden from DB, but the only code that runs is CORS merge. API.Auth.APIKey is never preserved or restored.\n> \n> 3. **Dangerous struct-level merge for Approval** (config_db.go:82-84):\n> ```go\n> if dbCfg.AgentField.Approval.WebhookSecret != \"\" || dbCfg.AgentField.Approval.DefaultExpiryHours != 0 {\n> target.AgentField.Approval = dbCfg.AgentField.Approval\n> }\n> ```\n> This merges the ENTIRE Approval struct including WebhookSecret when either field is non-empty.\n> \n> 4. **Dangerous struct-level merge for DID** (config_db.go:86-89):\n> ```go\n> if dbCfg.Features.DID.Method != \"\" {\n> target.Features.DID = dbCfg.Features.DID\n> }\n> ```\n> This merges the ENTIRE DIDConfig struct including Authorization.AdminToken and Authorization.InternalToken.\n> \n> 5. **Proper protection only for Storage** (config_db.go:33,45):\n> Line 33: `savedStorage := cfg.Storage`\n> Line 45: `cfg.Storage = savedStorage`\n> This shows the pattern that SHOULD be used for other sensitive fields but is NOT.\n> \n> 6. **Config structs showing sensitive fields** (config.go):\n> - Line 47: `WebhookSecret string` in ApprovalConfig\n> - Line 125: `AdminToken string` in AuthorizationConfig \n> - Line 129: `InternalToken string` in AuthorizationConfig\n> - Line 209: `APIKey string` in AuthConfig\n> \n> 7. **No validation in SetConfig** (local.go:5129-5161):\n> Raw YAML stored directly to DB without checking for sensitive field modifications.\n\n**\ud83d\udca1 Suggested Fix**\n\nImplement consistent security field protection across ALL sensitive configuration values:\n\n1. **Immediate Fix - Add protection for all security-sensitive tokens** (config_db.go):\n```go\nfunc overlayDBConfig(cfg *config.Config, store storage.StorageProvider) error {\n // ... existing code ...\n \n // Preserve ALL security-sensitive tokens from file/env config\n savedStorage := cfg.Storage\n savedAPIKey := cfg.API.Auth.APIKey\n savedWebhookSecret := cfg.AgentField.Approval.WebhookSecret\n savedAdminToken := cfg.Features.DID.Authorization.AdminToken\n savedInternalToken := cfg.Features.DID.Authorization.InternalToken\n savedConnectorToken := cfg.Features.Connector.Token\n \n // Parse and merge DB config\n var dbCfg config.Config\n if err := yaml.Unmarshal([]byte(entry.Value), &dbCfg); err != nil {\n return fmt.Errorf(\"failed to parse database config YAML: %w\", err)\n }\n mergeDBConfig(cfg, &dbCfg)\n \n // Restore all security-sensitive values (never overridden from DB)\n cfg.Storage = savedStorage\n cfg.API.Auth.APIKey = savedAPIKey\n cfg.AgentField.Approval.WebhookSecret = savedWebhookSecret\n cfg.Features.DID.Authorization.AdminToken = savedAdminToken\n cfg.Features.DID.Authorization.InternalToken = savedInternalToken\n cfg.Features.Connector.Token = savedConnectorToken\n \n // ... rest of function ...\n}\n```\n\n2. **Medium-term - Add field-level merge for DID and Approval** instead of struct-level merge to avoid accidentally merging sensitive sub-fields.\n\n3. **Long-term - Add config validation middleware** that rejects DB config updates containing modifications to security-sensitive fields, returning a 400 error with explanation.\n\n---\n*`Compound Analysis` \u00b7 confidence 95%*", + "line": 19, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Complete System Compromise via Coordinated DB Config Injection**\n\nThe combination of multiple unprotected security-sensitive fields in the DB config merge logic creates a complete authentication and authorization bypass chain. An attacker with database write access can simultaneously inject malicious values for: (1) DID Authorization tokens (AdminToken/InternalToken) via the full-DID-struct merge at lines 87-89, (2) WebhookSecret via the full-Approval-struct merge at lines 82-84, (3) API.Auth.APIKey which is parsed by yaml.Unmarshal at line 37 but never explicitly restored, and (4) Connector.Token/Capabilities which are claimed to be protected by comment at lines 90-92 but have no actual code enforcement. This allows an attacker to: authenticate with their own API key, escalate privileges using their own AdminToken, forge approval callbacks with their own WebhookSecret, and gain unauthorized connector access with their own token. The compound effect is TOTAL SYSTEM COMPROMISE - the attacker controls all authentication, authorization, and validation mechanisms simultaneously, making this significantly more severe than any individual vulnerability.\n\n---\n\n> Step 1: yaml.Unmarshal at line 37 parses ALL fields from DB-stored YAML including api.auth.api_key, features.did.authorization.admin_token, features.did.authorization.internal_token, agentfield.approval.webhook_secret, and features.connector.token. Step 2: Lines 87-89 merge entire DID struct when Method != '', overwriting Authorization.AdminToken and Authorization.InternalToken. Step 3: Lines 82-84 merge entire Approval struct when WebhookSecret != '', allowing secret replacement. Step 4: Lines 90-92 claim connector config is protected but NO code enforcement exists (unlike lines 33,45 which save/restore Storage). Step 5: Lines 94-97 only merge CORS, leaving API.Auth vulnerable to DB override. Step 6: The save/restore pattern at lines 33,45 proves the correct protection approach exists but is inconsistently applied.\n\n**\ud83d\udca1 Suggested Fix**\n\nApply the same save/restore pattern used for Storage (lines 33,45) to ALL security-sensitive fields before calling mergeDBConfig. Specifically: (1) Save cfg.API.Auth before line 42 and restore after, (2) Save cfg.Features.DID.Authorization before line 42 and restore after, (3) Save cfg.AgentField.Approval.WebhookSecret before line 42 and restore after, (4) Save cfg.Features.Connector before line 42 and restore after. Alternatively, implement a whitelist approach where ONLY explicitly allowed non-sensitive fields can be merged from DB config.\n\n---\n*`Compound Analysis` \u00b7 confidence 92%*", + "line": 82, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Systemic DB Config Security Control Gap Enables Total Authentication Bypass**\n\nThe `mergeDBConfig` function implements an INCONSISTENT security protection pattern that creates a systemic control gap enabling total authentication bypass. While Storage config is properly protected (saved at line 33, restored at line 45), FOUR other critical security-sensitive fields are left completely unprotected:\n\n1. **API.Auth.APIKey** (lines 94-97): Comment claims 'never override API key from DB for security' but code only merges CORS settings. The APIKey parsed from DB YAML remains in dbCfg struct with no explicit clearing.\n\n2. **AgentField.Approval.WebhookSecret** (lines 82-84): Entire Approval struct is merged when WebhookSecret or DefaultExpiryHours is set in DB, overwriting file/env HMAC-SHA256 secret used for webhook verification.\n\n3. **Features.DID.Authorization.AdminToken/InternalToken** (lines 87-89): Entire DID struct is merged when Method is non-empty, overwriting admin and internal authentication tokens used for privileged operations and agent authentication.\n\n4. **Features.Connector.Token/Capabilities** (lines 90-92): Comment claims connector config is 'intentionally NOT merged from DB' but NO CODE ENFORCES THIS. Parsed DB values persist in dbCfg struct.\n\n**COMPOUND IMPACT - Total System Compromise:**\nAn attacker with database write access can override ALL authentication mechanisms simultaneously:\n- Set `api.auth.api_key` \u2192 Gain unauthorized API access\n- Set `agentfield.approval.webhook_secret` \u2192 Forge webhook callbacks for unauthorized approvals\n- Set `features.did.method` + `features.did.authorization.admin_token` \u2192 Perform admin operations and bypass agent authentication\n- Set `features.connector.token` \u2192 Compromise connector service integration\n\nThis is NOT four separate vulnerabilities - it is ONE SYSTEMIC CONTROL GAP where a security protection pattern exists but is inconsistently applied. The existence of proper Storage protection proves the developers understand the risk, but the same protection was omitted for other equally critical credentials.\n\n---\n\n> 1. **Storage protection pattern (CORRECT)**: config_db.go:33 saves `cfg.Storage` before merge, line 45 restores it after. This proves the security model exists. 2. **APIKey protection FAILURE**: config_db.go:94 comment says 'never override API key from DB' but lines 95-97 only merge CORS. No explicit clearing of dbCfg.API.Auth.APIKey. 3. **WebhookSecret override**: config_db.go:82-84 assigns entire `target.AgentField.Approval = dbCfg.AgentField.Approval` when WebhookSecret is non-empty, overwriting the file/env secret. 4. **DID Authorization tokens override**: config_db.go:87-89 assigns entire `target.Features.DID = dbCfg.Features.DID` when Method is non-empty. config.go:125,129 show DIDConfig.Authorization contains AdminToken and InternalToken. 5. **Connector protection COMMENT-ONLY**: config_db.go:90-92 comment claims protection but no code saves/restores `cfg.Features.Connector` like Storage. 6. **Attack vector**: All sensitive values are parsed from DB YAML at config_db.go:37 via `yaml.Unmarshal`.\n\n**\ud83d\udca1 Suggested Fix**\n\nImplement CONSISTENT protection for ALL security-sensitive fields. Create a systematic approach:\n\n1. **Immediate fix**: Add save/restore pattern for all sensitive fields:\n```go\n// At line 32-33, add:\nsavedAPIKey := cfg.API.Auth.APIKey\nsavedApproval := cfg.AgentField.Approval\nsavedDIDAuth := cfg.Features.DID.Authorization\nsavedConnector := cfg.Features.Connector\n\n// At line 44-45, add:\ncfg.API.Auth.APIKey = savedAPIKey\ncfg.AgentField.Approval = savedApproval\ncfg.Features.DID.Authorization = savedDIDAuth\ncfg.Features.Connector = savedConnector\n```\n\n2. **Better fix**: Refactor mergeDBConfig to use field-by-field merging for sensitive structs instead of whole-struct assignment. Only merge non-sensitive fields individually.\n\n3. **Best fix**: Add a comprehensive test that verifies NO sensitive credentials can be overridden from DB config by attempting to inject malicious values for all security-sensitive fields.\n\n---\n*`Compound Analysis` \u00b7 confidence 92%*", + "line": 32, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] Systemic Control Gap: Inconsistent Application of Security-Sensitive Field Protection**\n\nThe codebase demonstrates a systemic control gap where the correct pattern for protecting security-sensitive configuration fields exists but is inconsistently applied. The save/restore pattern at lines 33,45 correctly protects Storage config from DB override (addressing the bootstrap problem), but this same pattern is NOT applied to other equally sensitive fields: API.Auth (controlling API authentication), Features.DID.Authorization (controlling admin/internal tokens), AgentField.Approval (controlling webhook secrets), and Features.Connector (controlling service tokens). This pattern inconsistency indicates a missing security control in the development process - the Storage protection was implemented as a one-off fix rather than establishing a comprehensive security rule. The presence of comments at lines 90-92 and 94 claiming protection exists (without code enforcement) further suggests confusion about what is actually protected. This systemic gap means future security-sensitive fields are likely to be similarly vulnerable.\n\n---\n\n> Step 1: Lines 33,45 show the correct save/restore pattern: `savedStorage := cfg.Storage` before merge and `cfg.Storage = savedStorage` after merge. Step 2: Lines 87-89, 82-84 show entire struct assignment for DID and Approval without field-level protection. Step 3: Lines 94-97 show comment claiming API key protection but only CORS is actually protected. Step 4: Lines 90-92 show comment claiming connector protection but NO corresponding code. Step 5: The pattern inconsistency spans 4 different security-sensitive fields across lines 82-97, indicating a missing systematic approach.\n\n**\ud83d\udca1 Suggested Fix**\n\nEstablish a comprehensive security policy for DB config merging: (1) Create an explicit allowlist of fields that CAN be merged from DB, default-deny all others, (2) Document the save/restore pattern requirement in code comments and developer documentation, (3) Add unit tests that verify each security-sensitive field cannot be overridden from DB config, (4) Consider creating a helper function `preserveSecurityFields(cfg *Config) (restore func())` that automatically saves and returns a restore function for all sensitive fields, ensuring consistency.\n\n---\n*`Compound Analysis` \u00b7 confidence 88%*", + "line": 32, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udd34 **[CRITICAL] API.Auth.APIKey can be overridden from DB config - no protection implemented**\n\nThe `mergeDBConfig` function only merges `API.CORS` settings (lines 94-97) but completely ignores `API.Auth.APIKey`. This means the API authentication key is left vulnerable to being set/overridden from DB config through struct assignment elsewhere or future code changes.\n\n**The vulnerability:** While the current code doesn't explicitly merge `API.Auth`, the struct can still receive values from DB config parsing. The YAML unmarshaling at line 37 populates `dbCfg` with ALL values from DB-stored YAML, including `api.auth.api_key`. Since there's no explicit preservation of `API.Auth.APIKey` like there is for `Storage` (lines 33, 45), this sensitive credential could be overridden.\n\n**Security impact:**\n- `API.Auth.APIKey` controls access to the entire AgentField API\n- If an attacker can set this via DB config, they can authenticate to the API with their own key\n- This bypasses any file/env-based API key configuration\n\n**The comment at line 94** says \"API settings (but never override API key from DB for security)\" but this protection is NOT actually implemented in the code.\n\n---\n\n> Step 1: config_db.go:94-97 shows only CORS is merged, comment says API key should not be overridden but no code enforces this. Step 2: config.go:207-212 shows AuthConfig contains APIKey (line 209). Step 3: yaml.Unmarshal at config_db.go:37 parses ALL fields from DB YAML including api.auth.api_key. Step 4: Since mergeDBConfig doesn't explicitly handle API.Auth fields, the dbCfg value could persist if the field exists in DB YAML.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd explicit protection for `API.Auth.APIKey` similar to how `Storage` is protected. Before calling `mergeDBConfig`, save the API key and restore it after:\n\n```go\n// At line 32-33, add:\nsavedAPIKey := cfg.API.Auth.APIKey\n\n// At line 44-45, add:\ncfg.API.Auth.APIKey = savedAPIKey\n```\n\nAlternatively, explicitly set it in mergeDBConfig if it was preserved elsewhere.\n\n---\n*`Security-Sensitive Field Protection in DB Config Merge` \u00b7 confidence 85%*", + "line": 94, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] SetConfig handler stores invalid YAML without validation**\n\nThe SetConfig handler at lines 67-101 accepts raw YAML/text body and stores it directly in the database without any validation that it parses as valid YAML or conforms to the expected config schema.\n\n**Why this is a problem:**\n1. Invalid YAML can be stored via `PUT /api/v1/configs/agentfield.yaml`\n2. On next server startup with `AGENTFIELD_CONFIG_SOURCE=db`, `overlayDBConfig` calls `yaml.Unmarshal` which fails\n3. The error is only logged as a warning (server.go:110), so startup continues with potentially partial/inconsistent config\n4. This creates a broken state that's hard to recover from - operators must manually delete the invalid config via API or DB edit\n\n**Attack scenario:** A malicious actor or buggy client could store malformed YAML, breaking config reloads until manual intervention.\n\n---\n\n> Step 1: HTTP PUT /api/v1/configs/agentfield.yaml -> SetConfig handler (config_storage.go:67)\n> Step 2: Handler reads body with io.ReadAll (line 70), stores directly via storage.SetConfig (line 85)\n> Step 3: No validation performed - body stored as raw string\n> Step 4: On server restart with AGENTFIELD_CONFIG_SOURCE=db, overlayDBConfig (config_db.go:19) reads entry\n> Step 5: yaml.Unmarshal (config_db.go:37) attempts to parse stored value\n> Step 6: If stored value is invalid YAML (e.g., 'invalid: [unclosed'), unmarshal fails\n> Step 7: Error returned at config_db.go:38, logged as warning at server.go:110\n> Step 8: Server continues startup with partial/inconsistent configuration\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd YAML validation before storing in SetConfig. Parse the body with `yaml.Unmarshal` into a temporary config struct to verify it's valid YAML and conforms to the schema. Return 400 Bad Request with details if validation fails. Additionally, consider adding a dedicated `/configs/validate` endpoint for dry-run validation before apply.\n\n---\n*`YAML Validation Gap in SetConfig Handler` \u00b7 confidence 95%*", + "line": 67, + "path": "control-plane/internal/handlers/config_storage.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Approval.WebhookSecret can be overridden from DB config**\n\nThe `AgentField.Approval` struct is merged entirely from DB config when `WebhookSecret` or `DefaultExpiryHours` is non-zero (lines 82-84). This includes `WebhookSecret`, which is a security-sensitive HMAC-SHA256 secret used for verifying webhook callbacks.\n\n**The vulnerability:**\n- `WebhookSecret` is used to authenticate incoming webhooks (config.go:47)\n- If an attacker can set this via DB config, they can forge webhook callbacks\n- This could allow unauthorized approval actions or other webhook-triggered operations\n\n**Current behavior:**\n- Lines 82-84 merge the entire `Approval` struct if either field is set in DB\n- This overwrites the file/env `WebhookSecret` with DB value\n- No preservation of the original secret like `Storage` has\n\n---\n\n> Step 1: config_db.go:82-84 merges entire Approval struct if WebhookSecret or DefaultExpiryHours is non-empty. Step 2: config.go:46-49 shows ApprovalConfig contains WebhookSecret (line 47) described as 'HMAC-SHA256 secret for verifying webhook callbacks'. Step 3: Entire struct assignment overwrites all fields including the secret.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd explicit protection for `AgentField.Approval.WebhookSecret` by saving it before merge and restoring after, similar to Storage protection. Or merge only non-sensitive fields individually instead of assigning the entire struct.\n\n---\n*`Security-Sensitive Field Protection in DB Config Merge` \u00b7 confidence 85%*", + "line": 82, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + }, + { + "body": "\ud83d\udfe0 **[IMPORTANT] Comment claims connector token/capabilities are excluded but no enforcement in code**\n\nLines 90-92 contain a comment stating \"Connector config (token, capabilities) is intentionally NOT merged from DB. These are security-sensitive and must come from file/env config\". However, this is only a comment - there is NO actual code enforcement of this protection.\n\n**The issue:**\n1. The comment suggests connector token and capabilities are protected like storage config\n2. However, unlike lines 33 and 45 which explicitly save/restore `cfg.Storage`, there is NO corresponding save/restore for `cfg.Features.Connector`\n3. If DB config contains `features.connector.token` or `features.connector.capabilities`, these values WILL be parsed into `dbCfg` at line 37\n4. While the current `mergeDBConfig` doesn't explicitly merge Connector fields, future modifications could inadvertently enable this\n\n**Recommendation:** Either implement the protection (like Storage) or remove the misleading comment.\n\n---\n\n> Step 1: config_db.go:90-92 comment claims connector config is NOT merged for security. Step 2: config_db.go:33,45 shows Storage is saved before merge and restored after - the pattern for security-sensitive fields. Step 3: No corresponding save/restore exists for cfg.Features.Connector. Step 4: config.go:87-91 shows ConnectorConfig contains Token (line 89) - a security-sensitive field.\n\n**\ud83d\udca1 Suggested Fix**\n\nAdd explicit protection for Connector config similar to Storage:\n\n```go\n// At line 32-33, add:\nsavedConnector := cfg.Features.Connector\n\n// At line 44-45, add:\ncfg.Features.Connector = savedConnector\n```\n\nOr if the comment is incorrect, update it to reflect actual behavior.\n\n---\n*`Security-Sensitive Field Protection in DB Config Merge` \u00b7 confidence 80%*", + "line": 90, + "path": "control-plane/internal/server/config_db.go", + "side": "RIGHT" + } + ], + "event": "REQUEST_CHANGES" + }, + "review_id": "rev_2947062915e9", + "summary": { + "adversary_challenged": 0, + "adversary_confirmed": 0, + "ai_generated_confidence": 0.6666666666666666, + "budget_exhausted": true, + "by_severity": { + "critical": 13, + "important": 3, + "info": 1 + }, + "cost_usd": 0, + "coverage_iterations": 0, + "cross_ref_interactions": 7, + "dimensions_run": 6, + "duration_seconds": 2867.247, + "total_findings": 17 + } +} \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml index 66a0c81..f2db403 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -38,10 +38,10 @@ services: condition: service_started healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8004/health"] - interval: 30s - timeout: 5s - retries: 3 - start_period: 15s + interval: 60s + timeout: 30s + retries: 5 + start_period: 30s restart: unless-stopped volumes: diff --git a/src/pr_af/orchestrator.py b/src/pr_af/orchestrator.py index 40b0153..54ee9b8 100644 --- a/src/pr_af/orchestrator.py +++ b/src/pr_af/orchestrator.py @@ -25,8 +25,9 @@ from .reasoners.harnesses import ( adversary_phase, anatomy_phase, + compound_dedup_phase, + compound_finder_phase, coverage_gate, - cross_ref_phase, evidence_verifier, intake_phase, meta_mechanical, @@ -47,7 +48,6 @@ from .schemas.pipeline import ( AdversaryResult, AnatomyResult, - CrossRefInteraction, IntakeResult, MetaDimensionResult, MetaSelectorConfig, @@ -149,23 +149,20 @@ async def run(self) -> ReviewResult: layer_task = asyncio.create_task(self._run_review_layer(plan, findings_queue, anatomy)) _, layer_result = await asyncio.gather(review_task, layer_task) - all_findings, cross_refs, adversary_results = layer_result + all_findings, adversary_results = layer_result print( - f"[PR-AF] Review+Layer done: {len(all_findings)} findings, {len(cross_refs)} cross-refs, {len(adversary_results)} adversary results", + f"[PR-AF] Review+Layer done: {len(all_findings)} findings, {len(adversary_results)} adversary results", flush=True, ) print("[PR-AF] Phase 6: COVERAGE LOOP", flush=True) - all_findings, cross_refs, adversary_results = await self._run_coverage_loop( - plan, anatomy, all_findings, cross_refs, adversary_results - ) - self.cross_ref_count = len(cross_refs) + all_findings, adversary_results = await self._run_coverage_loop(plan, anatomy, all_findings, adversary_results) self.adversary_challenged_count = sum(1 for result in adversary_results if result.verdict == "challenged") self.adversary_confirmed_count = sum(1 for result in adversary_results if result.verdict == "confirmed") print("[PR-AF] Phase 7: SYNTHESIS", flush=True) - scored_findings = self._synthesize(all_findings, cross_refs, adversary_results) + scored_findings = self._synthesize(all_findings, adversary_results) print(f"[PR-AF] Synthesis complete: {len(scored_findings)} scored findings", flush=True) print("[PR-AF] Phase 8: OUTPUT", flush=True) @@ -548,7 +545,7 @@ async def _run_review_layer( plan: ReviewPlan, findings_queue: asyncio.Queue[list[ReviewFinding] | None], anatomy: AnatomyResult, - ) -> tuple[list[ReviewFinding], list[CrossRefInteraction], list[AdversaryResult]]: + ) -> tuple[list[ReviewFinding], list[AdversaryResult]]: all_findings: list[ReviewFinding] = [] while True: batch = await findings_queue.get() @@ -592,29 +589,18 @@ async def _run_review_layer( challenged_titles = {ar.finding_title for ar in adversary_results if ar.verdict == "challenged"} confirmed_findings = [f for f in all_findings if f.title not in challenged_titles] - cross_refs: list[CrossRefInteraction] = [] - if confirmed_findings and not self._budget_or_timeout_exhausted("cross_ref"): - cross_raw = await cross_ref_phase( - findings=[f.model_dump() for f in confirmed_findings], - cross_ref_hints=plan.cross_ref_hints, - cluster_context=self._build_cluster_context_string(), - repo_path=self.input.repo_path or "", - evidence_map={k: v.model_dump() for k, v in evidence_map.items()} if evidence_map else None, - ) - self.agent_invocations += 1 - self._register_cost("cross_ref", self._extract_cost(cross_raw)) - cross_refs = self._extract_cross_refs(cross_raw) + compound_findings = await self._run_compound_analysis(confirmed_findings, evidence_map) + all_findings.extend(compound_findings) - return all_findings, cross_refs, adversary_results + return all_findings, adversary_results async def _run_coverage_loop( self, plan: ReviewPlan, anatomy: AnatomyResult, findings: list[ReviewFinding], - cross_refs: list[CrossRefInteraction], adversary_results: list[AdversaryResult], - ) -> tuple[list[ReviewFinding], list[CrossRefInteraction], list[AdversaryResult]]: + ) -> tuple[list[ReviewFinding], list[AdversaryResult]]: for _ in range(self.config.budget.max_coverage_iterations): if self._budget_or_timeout_exhausted("coverage"): break @@ -669,32 +655,18 @@ async def _run_coverage_loop( adversary_results = await self._run_parallel_adversary(findings, gap_evidence) challenged_titles = {ar.finding_title for ar in adversary_results if ar.verdict == "challenged"} - confirmed_findings = [f for f in findings if f.title not in challenged_titles] - - if confirmed_findings and not self._budget_or_timeout_exhausted("cross_ref"): - cross_raw = await cross_ref_phase( - findings=[f.model_dump() for f in confirmed_findings], - cross_ref_hints=plan.cross_ref_hints, - cluster_context=self._build_cluster_context_string(), - repo_path=self.input.repo_path or "", - evidence_map={k: v.model_dump() for k, v in gap_evidence.items()} if gap_evidence else None, - ) - self.agent_invocations += 1 - self._register_cost("cross_ref", self._extract_cost(cross_raw)) - cross_refs = self._extract_cross_refs(cross_raw) + findings = [f for f in findings if f.title not in challenged_titles] - return findings, cross_refs, adversary_results + return findings, adversary_results def _synthesize( self, findings: list[ReviewFinding], - cross_refs: list[CrossRefInteraction], adversary_results: list[AdversaryResult], ) -> list[ScoredFinding]: deduped = deduplicate_exact(findings) scored = score_findings( findings=deduped, - cross_refs=cross_refs, adversary_results=adversary_results, config=self.config.scoring, ai_generated=self.intake_result.ai_generated if self.intake_result else 0.0, @@ -1053,18 +1025,207 @@ def _extract_findings(self, result_raw: object, dim: ReviewDimension) -> list[Re return findings - def _extract_cross_refs(self, result_raw: object) -> list[CrossRefInteraction]: + def _extract_compound_findings(self, result_raw: object) -> list[ReviewFinding]: payload = _unwrap(result_raw) raw_list: list[dict[str, Any]] = [] if isinstance(payload, dict): - for key in ("interactions", "cross_refs", "results"): + for key in ("findings", "results"): value = payload.get(key) if isinstance(value, list): raw_list = cast(list[dict[str, Any]], value) break elif isinstance(payload, list): raw_list = cast(list[dict[str, Any]], payload) - return [CrossRefInteraction.model_validate(item) for item in raw_list] + findings: list[ReviewFinding] = [] + for item in raw_list: + if not isinstance(item, dict): + continue + normalized = { + "dimension_id": "compound", + "dimension_name": "Compound Analysis", + "file_path": item.get("file_path", ""), + "line_start": int(item.get("line_start", 0) or 0), + "line_end": int(item.get("line_end", item.get("line_start", 0)) or 0), + "hunk_context": "", + "severity": item.get("severity", "important"), + "title": item.get("title", "Untitled compound finding"), + "body": item.get("body", ""), + "suggestion": item.get("suggestion"), + "evidence": item.get("evidence", ""), + "confidence": float(item.get("confidence", 0.5) or 0.5), + "tags": item.get("tags", []), + } + findings.append(ReviewFinding.model_validate(normalized)) + return findings + + async def _dedup_compound_findings( + self, + compound_findings: list[ReviewFinding], + individual_findings: list[ReviewFinding], + ) -> list[ReviewFinding]: + individual_summary = "\n".join(f"- [{f.severity}] {f.title} ({f.file_path})" for f in individual_findings[:20]) + + dedup_raw = await compound_dedup_phase( + compound_findings=[f.model_dump() for f in compound_findings], + individual_findings_summary=individual_summary, + ) + self.agent_invocations += 1 + self._register_cost("cross_ref", self._extract_cost(dedup_raw)) + + payload = _unwrap(dedup_raw) + keep_indices: list[int] = [] + reasoning = "" + if isinstance(payload, dict): + keep_indices = payload.get("keep_indices", []) + reasoning = payload.get("reasoning", "") + + if not keep_indices: + return compound_findings + + deduped = [compound_findings[i] for i in keep_indices if 0 <= i < len(compound_findings)] + before = len(compound_findings) + after = len(deduped) + if before != after: + print( + f"[PR-AF] Compound dedup: {before} → {after} findings (removed {before - after} duplicates)", + flush=True, + ) + return deduped if deduped else compound_findings + + async def _run_compound_analysis( + self, + confirmed_findings: list[ReviewFinding], + evidence_map: dict[str, EvidencePackage] | None, + ) -> list[ReviewFinding]: + clusters = self._select_compound_clusters(confirmed_findings, evidence_map) + if not clusters or self._budget_or_timeout_exhausted("cross_ref"): + return [] + + print(f"[PR-AF] Phase 5.5: COMPOUND ANALYSIS ({len(clusters)} clusters, parallel)", flush=True) + compound_tasks = [] + for cluster in clusters: + cluster_titles = {finding.title for finding in cluster} + cluster_evidence = {} + if evidence_map: + cluster_evidence = { + title: evidence_map[title].model_dump() for title in cluster_titles if title in evidence_map + } + task = compound_finder_phase( + cluster_findings=[finding.model_dump() for finding in cluster], + repo_path=self.input.repo_path or "", + evidence_map=cluster_evidence or None, + ) + compound_tasks.append(task) + + results = await asyncio.gather(*compound_tasks, return_exceptions=True) + compound_findings: list[ReviewFinding] = [] + for raw_result in results: + if isinstance(raw_result, Exception): + continue + self.agent_invocations += 1 + self._register_cost("cross_ref", self._extract_cost(raw_result)) + new_findings = self._extract_compound_findings(raw_result) + compound_findings.extend(new_findings) + + if len(compound_findings) > 1: + compound_findings = await self._dedup_compound_findings( + compound_findings, + confirmed_findings, + ) + + self.cross_ref_count += len(compound_findings) + return compound_findings + + def _select_compound_clusters( + self, + findings: list[ReviewFinding], + evidence_map: dict[str, EvidencePackage] | None, + ) -> list[list[ReviewFinding]]: + if len(findings) < 2: + return [] + + max_clusters = self.config.budget.max_cross_ref_deep_dives + by_title: dict[str, ReviewFinding] = {finding.title: finding for finding in findings} + + candidates: list[tuple[int, int, list[ReviewFinding]]] = [] + seen_signatures: set[tuple[str, ...]] = set() + order = 0 + + def add_candidate(priority: int, cluster: list[ReviewFinding]) -> None: + nonlocal order + unique_by_title = {f.title: f for f in cluster} + normalized = list(unique_by_title.values()) + if len(normalized) < 2: + return + normalized = sorted(normalized, key=lambda f: f.title)[:4] + signature = tuple(sorted(f.title for f in normalized)) + if signature in seen_signatures: + return + seen_signatures.add(signature) + candidates.append((priority, order, normalized)) + order += 1 + + file_groups: dict[str, list[ReviewFinding]] = {} + for finding in findings: + if finding.file_path: + file_groups.setdefault(finding.file_path, []).append(finding) + for group in file_groups.values(): + if len(group) >= 2: + add_candidate(0, group) + + def _import_tokens(title: str) -> set[str]: + if not evidence_map or title not in evidence_map: + return set() + import re + + text = (evidence_map[title].import_context or "").lower() + return {tok for tok in re.findall(r"[a-z0-9_./]+", text) if len(tok) > 2} + + import_groups: dict[str, set[str]] = {} + for title in by_title: + for token in _import_tokens(title): + import_groups.setdefault(token, set()).add(title) + for titles in import_groups.values(): + if len(titles) >= 2: + add_candidate(1, [by_title[t] for t in sorted(titles) if t in by_title]) + + caller_groups: dict[str, set[str]] = {} + if evidence_map: + for title, finding in by_title.items(): + package = evidence_map.get(title) + if not package: + continue + for snippet in package.caller_snippets[:8]: + key = snippet.strip().lower()[:180] + if key: + caller_groups.setdefault(key, set()).add(finding.title) + for titles in caller_groups.values(): + if len(titles) >= 2: + add_candidate(3, [by_title[t] for t in sorted(titles) if t in by_title]) + + key_tags = {"security", "auth", "validation", "error-handling"} + tag_groups: dict[str, list[ReviewFinding]] = {} + for finding in findings: + for tag in finding.tags: + lowered = str(tag).lower() + if lowered in key_tags: + tag_groups.setdefault(lowered, []).append(finding) + for group in tag_groups.values(): + if len(group) >= 2: + add_candidate(2, group) + + dir_groups: dict[str, list[ReviewFinding]] = {} + for finding in findings: + if finding.file_path: + directory = os.path.dirname(finding.file_path) + if directory: + dir_groups.setdefault(directory, []).append(finding) + for group in dir_groups.values(): + if len(group) >= 2: + add_candidate(4, group) + + candidates.sort(key=lambda item: (item[0], item[1])) + return [cluster for _, _, cluster in candidates[:max_clusters]] def _extract_adversary_results(self, result_raw: object) -> list[AdversaryResult]: payload = _unwrap(result_raw) @@ -1365,7 +1526,7 @@ def _build_review_details(self, findings: list[ScoredFinding], plan: ReviewPlan detail_parts.append("**Cross-Reference & Adversary Analysis:**") detail_parts.append("") if self.cross_ref_count > 0: - detail_parts.append(f"- **{self.cross_ref_count}** cross-change interaction(s) detected") + detail_parts.append(f"- **{self.cross_ref_count}** compound finding(s) synthesized") total_adv = self.adversary_confirmed_count + self.adversary_challenged_count if total_adv > 0: detail_parts.append( diff --git a/src/pr_af/reasoners/harnesses.py b/src/pr_af/reasoners/harnesses.py index a413351..8350a8a 100644 --- a/src/pr_af/reasoners/harnesses.py +++ b/src/pr_af/reasoners/harnesses.py @@ -13,7 +13,6 @@ AdversaryResult, AnatomyResult, ChangeCluster, - CrossRefInteraction, DiffStats, FileChange, IntakeResult, @@ -46,8 +45,27 @@ class _ReviewFindingsResult(BaseModel): sub_reviews: list[_SubReviewRequest] = Field(default_factory=list) -class _CrossRefResult(BaseModel): - interactions: list[CrossRefInteraction] = Field(default_factory=list) +class _CompoundFinding(BaseModel): + title: str = "" + severity: str = "suggestion" + file_path: str = "" + line_start: int = 0 + line_end: int = 0 + body: str = "" + evidence: str = "" + suggestion: str | None = None + confidence: float = 0.5 + tags: list[str] = Field(default_factory=list) + contributing_findings: list[str] = Field(default_factory=list) + + +class _CompoundResult(BaseModel): + findings: list[_CompoundFinding] = Field(default_factory=list) + + +class _CompoundDedupResult(BaseModel): + keep_indices: list[int] = Field(default_factory=list) + reasoning: str = "" class _AdversaryPhaseResult(BaseModel): @@ -935,88 +953,160 @@ async def review_dimension( @router.reasoner() -async def cross_ref_phase( - findings: list[dict], - cross_ref_hints: list[str] | None = None, - cluster_context: str = "", +async def compound_finder_phase( + cluster_findings: list[dict], repo_path: str = "", evidence_map: dict[str, dict] | None = None, ) -> dict: import json as _json - hints = cross_ref_hints or [] ev_map = evidence_map or {} - validated_findings = [ReviewFinding.model_validate(finding) for finding in findings] + validated_findings = [ReviewFinding.model_validate(finding) for finding in cluster_findings] + if len(validated_findings) < 2: + return {"findings": []} + + cluster_titles = {finding.title for finding in validated_findings} findings_with_context: list[dict] = [] - for f in validated_findings[:30]: + for f in validated_findings[:4]: entry: dict = { "title": f.title, "severity": f.severity, "file_path": f.file_path, + "line_start": f.line_start, + "line_end": f.line_end, "dimension_name": f.dimension_name, "body": f.body, "evidence": f.evidence, "suggestion": f.suggestion, + "tags": f.tags, } ev = ev_map.get(f.title, {}) if ev: - entry["ground_truth_imports"] = ev.get("import_context", "") - entry["ground_truth_callers"] = ev.get("caller_snippets", [])[:3] - entry["ground_truth_related"] = ev.get("related_code", "")[:1500] + entry["evidence_package"] = { + "primary_code": ev.get("primary_code", "")[:4000], + "import_context": ev.get("import_context", "")[:2500], + "caller_snippets": ev.get("caller_snippets", [])[:5], + "related_code": ev.get("related_code", "")[:2500], + "cross_ref_snippets": ev.get("cross_ref_snippets", [])[:4], + } findings_with_context.append(entry) - findings_summary = _json.dumps(findings_with_context, default=str) + relevant_evidence: dict[str, dict] = {title: ev_map[title] for title in cluster_titles if title in ev_map} + payload = { + "cluster_findings": findings_with_context, + "cluster_evidence": relevant_evidence, + } + findings_summary = _json.dumps(payload, default=str) if len(findings_summary) > 10000 and repo_path: - file_path = _write_context_file(findings_summary, "cross_ref_findings.json", repo_path) + file_path = _write_context_file(findings_summary, "compound_cluster_findings.json", repo_path) findings_ref = ( - "Full findings with evidence written to: " + file_path + "\nRead this file for complete finding details." + "Cluster findings and evidence written to: " + + file_path + + "\nRead this file for complete compound-analysis context." ) else: - findings_ref = "Findings:\n" + findings_summary - - evidence_section = "" - if ev_map: - evidence_section = ( - "## Ground-Truth Evidence\n\n" - "Each finding includes `ground_truth_imports` (what the file imports and what " - "imports it), `ground_truth_callers` (actual call sites), and `ground_truth_related` " - "(code from non-PR files). Use these to verify cross-file interactions are REAL, " - "not speculated. If two findings share callers or import chains, that is strong " - "evidence of a real interaction.\n\n" - ) + findings_ref = "Cluster context:\n" + findings_summary result = await router.app.harness( - "You are analyzing the INTERACTIONS between findings from different review dimensions. " - "Individual reviewers examined separate aspects of the PR. Your job is to find where " - "their findings COMBINE to create risks that neither reviewer saw alone.\n\n" - + evidence_section - + "## What to Look For\n\n" - "1. **Compound Failures**: Finding A says 'function X changed its error type' and " - "Finding B says 'caller Y catches the old error type'. Check the ground_truth_callers " - "to verify both findings reference the same call path.\n\n" - "2. **Contradictory Assumptions**: One reviewer assumes a lock is held, another's " - "finding shows the lock was removed. Check ground_truth_imports to see if both " - "files interact through shared modules.\n\n" - "3. **Cascade Effects**: A 'suggestion'-level finding in module A becomes 'critical' " - "when combined with an 'important' finding in module B. Use ground_truth_related " - "to trace the cascade path through actual code.\n\n" - "4. **Consistency Gaps**: One part was updated to a new pattern, another still uses " - "the old. The ground_truth_imports show if these files are in the same dependency chain.\n\n" - "5. **Hidden Dependencies**: Findings in separate files sharing implicit contracts. " - "Check ground_truth_callers for overlapping call sites.\n\n" - "You have repository access. When checking interactions, read actual files to verify. " - "Only report interactions you can TRACE through specific findings and code.\n\n" + "You are a compound-risk investigator for PR findings. You are given a SMALL cluster " + "of findings that might interact. Your task is to investigate whether these findings " + "combine into something worse than each finding alone, then synthesize NEW first-class " + "findings when that combined risk is real.\n\n" + "Use repository access to verify interactions. Treat this as hypothesis-driven analysis, " + "not pattern matching: investigate whether there is a real chain or shared mechanism that " + "creates an issue an individual reviewer would likely miss.\n\n" + "Guidance for investigation depth:\n" + "- Check whether one finding creates a precondition that enables another.\n" + "- Check whether separately minor issues create an escalation path together.\n" + "- Check whether a safety mechanism exists in one place but is disconnected elsewhere.\n" + "- Check whether fixing one issue can worsen behavior exposed by another.\n" + "- Check whether repeated patterns indicate a systemic control gap.\n\n" + "Output contract:\n" + "- If no credible compound issue exists, return an empty findings list.\n" + "- If a compound issue exists, emit NEW findings only. Do not repeat original findings.\n" + "- Each output finding must include: title, severity, file_path, line_start, line_end, " + "body, evidence, suggestion, confidence, tags, and contributing_findings.\n" + "- `contributing_findings` must list the exact titles from this cluster that combine.\n" + "- Only emit findings with confidence >= 0.6 and concrete evidence.\n\n" + findings_ref - + "\n\nReview hints: " - + str(hints if hints else "none") - + ("\n\nCluster context:\n" + cluster_context if cluster_context else ""), - schema=_CrossRefResult, + + "\n\nReturn strict JSON matching the schema.", + schema=_CompoundResult, cwd=repo_path or None, ) - parsed = result.parsed if result.parsed else _CrossRefResult() - return {"interactions": [interaction.model_dump() for interaction in parsed.interactions]} + parsed = result.parsed if result.parsed else _CompoundResult() + return {"findings": [finding.model_dump() for finding in parsed.findings]} + + +@router.reasoner() +async def compound_dedup_phase( + compound_findings: list[dict], + individual_findings_summary: str = "", +) -> dict: + """Deduplicate compound findings via a single harness call. + + The harness receives all compound findings and determines which are + genuinely unique insights vs near-duplicates covering the same ground. + Returns the 0-based indices of findings to KEEP. + """ + import json as _json + + if len(compound_findings) <= 1: + return {"keep_indices": list(range(len(compound_findings))), "reasoning": "single finding, no dedup needed"} + + numbered_findings: list[str] = [] + for idx, f in enumerate(compound_findings): + numbered_findings.append( + f"[{idx}] Title: {f.get('title', '')}\n" + f" Severity: {f.get('severity', '')}\n" + f" File: {f.get('file_path', '')}\n" + f" Tags: {f.get('tags', [])}\n" + f" Body: {f.get('body', '')[:500]}\n" + f" Evidence: {f.get('evidence', '')[:300]}" + ) + + findings_text = "\n\n".join(numbered_findings) + + individual_context = "" + if individual_findings_summary: + individual_context = ( + "\n\nFor reference, these are the INDIVIDUAL findings that the compound " + "findings were synthesized from:\n" + individual_findings_summary + ) + + result = await router.app.harness( + "You are a deduplication specialist reviewing compound findings from a PR review.\n\n" + "Compound findings are synthesized from clusters of individual findings. Because " + "clusters are analyzed independently and in parallel, different clusters sometimes " + "produce findings that cover the SAME underlying insight from slightly different " + "angles.\n\n" + "Your task: identify which compound findings represent genuinely DISTINCT insights " + "and which are near-duplicates. Two findings are duplicates when they describe the " + "same root cause, same attack vector, or same systemic pattern — even if phrased " + "differently or using different terminology.\n\n" + "When duplicates exist, keep the finding that is:\n" + "- Most specific and actionable\n" + "- Best evidenced\n" + "- Highest severity\n\n" + "Also check: does any compound finding merely RESTATE what an individual finding " + "already says without adding a genuinely new cross-cutting insight? If so, drop it.\n\n" + f"COMPOUND FINDINGS TO EVALUATE ({len(compound_findings)} total):\n\n" + + findings_text + + individual_context + + "\n\nReturn `keep_indices` as a list of 0-based indices of findings to KEEP. " + "Include your reasoning.", + schema=_CompoundDedupResult, + ) + parsed = result.parsed if result.parsed else _CompoundDedupResult() + + # Validate indices are in range + valid_indices = [i for i in parsed.keep_indices if 0 <= i < len(compound_findings)] + if not valid_indices: + # Fallback: keep all if harness returned nothing valid + valid_indices = list(range(len(compound_findings))) + + return {"keep_indices": valid_indices, "reasoning": parsed.reasoning} @router.reasoner() diff --git a/src/pr_af/schemas/output.py b/src/pr_af/schemas/output.py index f5a6481..55aff25 100644 --- a/src/pr_af/schemas/output.py +++ b/src/pr_af/schemas/output.py @@ -36,7 +36,10 @@ class ReviewSummary(BaseModel): total_findings: int = 0 by_severity: dict[str, int] = Field(default_factory=dict) dimensions_run: int = 0 - cross_ref_interactions: int = 0 + cross_ref_interactions: int = Field( + default=0, + description="Backward-compatible field name; value now represents synthesized compound findings.", + ) adversary_challenged: int = 0 adversary_confirmed: int = 0 coverage_iterations: int = 0 diff --git a/src/pr_af/scoring.py b/src/pr_af/scoring.py index 37b43df..facc2e5 100644 --- a/src/pr_af/scoring.py +++ b/src/pr_af/scoring.py @@ -11,12 +11,11 @@ from .config import ScoringConfig from .schemas.output import ScoredFinding -from .schemas.pipeline import AdversaryResult, CrossRefInteraction, ReviewFinding +from .schemas.pipeline import AdversaryResult, ReviewFinding def score_findings( findings: list[ReviewFinding], - cross_refs: list[CrossRefInteraction], adversary_results: list[AdversaryResult], config: ScoringConfig, ai_generated: float = 0.0, @@ -26,21 +25,13 @@ def score_findings( Steps: 1. Apply base severity weights - 2. Apply multipliers from cross-ref and adversary + 2. Apply multipliers from adversary and global context 3. Filter by confidence thresholds 4. Sort by composite score descending """ # Index adversary results by finding title - adversary_by_title: dict[str, AdversaryResult] = { - ar.finding_title: ar for ar in adversary_results - } - - # Index cross-ref interactions by finding titles - cross_ref_findings: set[str] = set() - for cr in cross_refs: - cross_ref_findings.add(cr.finding_a_title) - cross_ref_findings.add(cr.finding_b_title) + adversary_by_title: dict[str, AdversaryResult] = {ar.finding_title: ar for ar in adversary_results} scored: list[ScoredFinding] = [] @@ -54,11 +45,6 @@ def score_findings( # Collect active multipliers active_multipliers: list[str] = [] - # Cross-ref compound risk - if finding.title in cross_ref_findings: - score *= config.multipliers.get("cross_ref_compound", 1.5) - active_multipliers.append("cross_ref_compound") - # Adversary assessment adversary = adversary_by_title.get(finding.title) if adversary: From b6895bcaebeb9204b51266835ecd54cb4287f3bb Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 20:51:45 +0530 Subject: [PATCH 11/62] docs: rewrite README with AgentField product philosophy - Added viral/developer-facing formatting and badges - Highlighted the single-agent ceiling vs multi-agent DAG approach - Documented the 8-phase architecture - Showcased the compound analysis differentiator using the PR 254 benchmark --- README.md | 104 ++++++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 102 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 736fd57..f7af1ff 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,103 @@ -# PR-AF — AI-Native Pull Request Review Agent +
-Multi-agent PR review system built on AgentField. Takes a GitHub PR URL and posts specific inline comments. +# PR-AF + +### AI-Native Pull Request Review Pipeline Built on [AgentField](https://github.com/Agent-Field/agentfield) + +[![Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-16a34a?style=for-the-badge)](LICENSE) +[![Python](https://img.shields.io/badge/python-3.11%2B-3776AB?style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/downloads/) +[![Built with AgentField](https://img.shields.io/badge/Built%20with-AgentField-0A66C2?style=for-the-badge)](https://github.com/Agent-Field/agentfield) +[![More from Agent-Field](https://img.shields.io/badge/More_from-Agent--Field-111827?style=for-the-badge&logo=github)](https://github.com/Agent-Field) + +

+ The Problem • + How It Works • + Compound Risk • + Quick Start • + Benchmarks +

+ +
+ +Single-agent code reviewers are fast, but they suffer from high false-positive rates and fail to grasp deep, architectural consequences. + +**PR-AF** (Pull Request Agent Field) is a specialized multi-agent Directed Acyclic Graph (DAG) that operates as a **Deep Architectural Auditor**. By composing parallel hunters, programmatic evidence extraction, adversarial verification, and compound synthesis, PR-AF transforms an average LLM into a senior-level code reviewer capable of detecting systemic zero-day vulnerabilities. + +*Zero false positives. Deep architectural insights. One API call.* + +--- + +## The Problem: The Single-Agent Ceiling + +Most AI code reviewers pass a git diff into a single LLM prompt and ask it to find bugs. This approaches the problem at the surface level. + +1. **They hallucinate:** Without full repository context, single agents guess how functions interact. +2. **They are naive:** They spot mechanical errors (e.g., missing parameters) but miss systemic flaws (e.g., a combination of three isolated changes creates an auth bypass). +3. **They lack rigor:** They rarely verify their own assumptions against actual source code. + +## How It Works: Composite Intelligence + +PR-AF is built on the [Composite Intelligence](https://github.com/Agent-Field/agentfield) philosophy. The intelligence isn't just in the LLM—it's encoded in the **architecture itself**. + +Instead of a single prompt, PR-AF runs an 8-Phase multi-agent pipeline spanning roughly ~100 synchronous micro-agent tasks. + +### The 8-Phase Review Pipeline + +| Phase | Description | Architecture | +|---|---|---| +| **1. INTAKE** | Classifies PR complexity and depth. | `.ai()` | +| **2. ANATOMY** | Groups the changed files into logical clusters. | `.ai()` | +| **3. META-DIMENSIONS** | Evaluates the PR through 3 parallel lenses (Semantic, Mechanical, Systemic) to dynamically generate custom review prompts tailored to this specific PR. | `.harness()` (3x parallel) | +| **4. REVIEW** | Dispatches specific sub-agents (e.g., a "Security Auditor", an "API Contract Specialist") to investigate the repo based on the custom dimensions. | `.harness()` (Nx parallel) | +| **5. EVIDENCE LAYER** | Uses programmatic Python AST parsing to pull exact caller snippets, import contexts, and cross-references. An **Evidence Verifier** harness attempts to falsify the Reviewers' claims using this ground truth. | Hybrid (Code + `.harness()`) | +| **6. ADVERSARY** | A cynical "Red Team" agent tries to disprove remaining findings. | `.harness()` | +| **7. COMPOUND ANALYSIS** | Clusters isolated, minor findings to determine if their combination creates a novel, first-class exploit chain. | `.harness()` (Nx parallel) | +| **8. SYNTHESIS** | Scores, dedups, filters, and formats the findings as inline GitHub comments. | Code | + +## The Differentiator: Compound Analysis + +Where single-agent reviewers stop at "you forgot to protect this field," PR-AF looks at the whole board. + +During our benchmarks on a complex configuration migration PR, PR-AF's individual reviewers found three separate, medium-severity bugs: an AdminToken override, an APIKey vulnerability, and a WebhookSecret overwrite. + +The **Phase 7 Compound Analyzer** clustered these findings together, stepped back, and synthesized a critical zero-day exploit that the single-agent baseline missed: + +> **Complete System Compromise via Coordinated DB Config Injection** +> *Severity: Critical | Score: 1.104* +> The combination of multiple unprotected security-sensitive fields in the DB config merge logic creates a complete authentication and authorization bypass chain. An attacker with database write access can simultaneously inject malicious values across all authentication vectors. This is not an isolated missing validation, but a systemic control gap. + +*(See the full [Evaluation & Benchmarks](benchmark/agentfield-254/EVALUATION.md) against Claude Code)* + +--- + +## Quick Start + +### 1. Configure the Agent +Ensure you have the AgentField Control Plane running. Define your environment variables in `.env`: +```bash +GH_TOKEN=ghp_your_github_token # To post comments +OPENROUTER_API_KEY=sk-or-your_key +HARNESS_MODEL=openrouter/moonshotai/kimi-k2.5 +``` + +### 2. Start the Agent Node +```bash +docker compose up -d +``` + +### 3. Dispatch a Review +Trigger the review asynchronously through the control plane: + +```bash +curl -X POST http://localhost:8080/api/v1/execute/async/pr-af.review \ + -H "Content-Type: application/json" \ + -d '{ + "input": { + "pr_url": "https://github.com/Agent-Field/agentfield/pull/254", + "depth": "standard", + "dry_run": true + } + }' +``` + +*(When `dry_run: true`, the agent evaluates the PR but does not actually post the comments to GitHub. Check the Control Plane UI to view the final payload).* From b7077d6d5a7b00464a54e883e2daad334ae35126 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 20:59:16 +0530 Subject: [PATCH 12/62] docs: rewrite README to focus on AI architecture outcomes - Removed mechanical 8-phase pipeline table - Emphasized 0% false positive rate via Evidence Grounding - Highlighted Compound Attack Chain synthesis - Added focus on Adversarial Tension and Dynamic Meta-prompts - Strengthened viral/powerful messaging against single-agent baselines --- README.md | 50 +++++++++++++++++++++++--------------------------- 1 file changed, 23 insertions(+), 27 deletions(-) diff --git a/README.md b/README.md index f7af1ff..c94d5fa 100644 --- a/README.md +++ b/README.md @@ -10,9 +10,8 @@ [![More from Agent-Field](https://img.shields.io/badge/More_from-Agent--Field-111827?style=for-the-badge&logo=github)](https://github.com/Agent-Field)

- The Problem • - How It Works • - Compound Risk • + The Problem • + Why It Works • Quick Start • Benchmarks

@@ -27,45 +26,42 @@ Single-agent code reviewers are fast, but they suffer from high false-positive r --- -## The Problem: The Single-Agent Ceiling +## The AI Code Review Problem -Most AI code reviewers pass a git diff into a single LLM prompt and ask it to find bugs. This approaches the problem at the surface level. +Most "AI PR Reviewers" just pipe a git diff into a single LLM prompt and ask it to find bugs. This creates three fatal flaws: -1. **They hallucinate:** Without full repository context, single agents guess how functions interact. -2. **They are naive:** They spot mechanical errors (e.g., missing parameters) but miss systemic flaws (e.g., a combination of three isolated changes creates an auth bypass). -3. **They lack rigor:** They rarely verify their own assumptions against actual source code. +1. **The Hallucination Trap:** Without traversing the actual repository, the LLM guesses how functions interact. It flags missing error handling that is actually handled cleanly three layers up. You get noisy, frustrating false positives. +2. **The Myopic View:** They spot surface-level, mechanical errors (e.g., missing parameters) but miss systemic flaws. They cannot see how three isolated, seemingly benign changes combine to create an exploit. +3. **The Static Prompt Ceiling:** Using the same "You are an expert reviewer" prompt for a CSS tweak and a highly concurrent database migration yields generic, unhelpful advice. -## How It Works: Composite Intelligence +## Architectural Intelligence -PR-AF is built on the [Composite Intelligence](https://github.com/Agent-Field/agentfield) philosophy. The intelligence isn't just in the LLM—it's encoded in the **architecture itself**. +PR-AF is built on the [Composite Intelligence](https://github.com/Agent-Field/agentfield) philosophy. We don't rely on a magical, omniscient model. Instead, the intelligence is encoded in the **architecture itself**. -Instead of a single prompt, PR-AF runs an 8-Phase multi-agent pipeline spanning roughly ~100 synchronous micro-agent tasks. +By composing ~100 synchronous micro-agent tasks, PR-AF achieves results impossible for a single agent. -### The 8-Phase Review Pipeline +### 1. Evidence Grounding: Achieving Zero False Positives +LLMs are notoriously lazy and eager to please. If you ask them to find a bug, they will invent one. PR-AF solves this using a **Hybrid Evidence Layer**. -| Phase | Description | Architecture | -|---|---|---| -| **1. INTAKE** | Classifies PR complexity and depth. | `.ai()` | -| **2. ANATOMY** | Groups the changed files into logical clusters. | `.ai()` | -| **3. META-DIMENSIONS** | Evaluates the PR through 3 parallel lenses (Semantic, Mechanical, Systemic) to dynamically generate custom review prompts tailored to this specific PR. | `.harness()` (3x parallel) | -| **4. REVIEW** | Dispatches specific sub-agents (e.g., a "Security Auditor", an "API Contract Specialist") to investigate the repo based on the custom dimensions. | `.harness()` (Nx parallel) | -| **5. EVIDENCE LAYER** | Uses programmatic Python AST parsing to pull exact caller snippets, import contexts, and cross-references. An **Evidence Verifier** harness attempts to falsify the Reviewers' claims using this ground truth. | Hybrid (Code + `.harness()`) | -| **6. ADVERSARY** | A cynical "Red Team" agent tries to disprove remaining findings. | `.harness()` | -| **7. COMPOUND ANALYSIS** | Clusters isolated, minor findings to determine if their combination creates a novel, first-class exploit chain. | `.harness()` (Nx parallel) | -| **8. SYNTHESIS** | Scores, dedups, filters, and formats the findings as inline GitHub comments. | Code | +When an agent flags a vulnerability, PR-AF uses fast programmatic AST parsing to extract the exact caller snippets, import contexts, and cross-references from the repository. This hard data is fed into an isolated **Evidence Verifier** harness. Its sole job: prove the first agent wrong. If a claim cannot be irrefutably backed by the extracted code snippets, it is silently dropped. **In our benchmarks, this dropped the false positive rate to 0%.** -## The Differentiator: Compound Analysis +### 2. Synthesizing Compound Attack Chains +Where a single-agent reviewer stops at "you forgot to validate this field," PR-AF looks at the whole board. -Where single-agent reviewers stop at "you forgot to protect this field," PR-AF looks at the whole board. +In our benchmark of a complex configuration migration PR, PR-AF's parallel agents found three isolated, medium-severity bugs across different files: an AdminToken override, an APIKey vulnerability, and a WebhookSecret overwrite. -During our benchmarks on a complex configuration migration PR, PR-AF's individual reviewers found three separate, medium-severity bugs: an AdminToken override, an APIKey vulnerability, and a WebhookSecret overwrite. - -The **Phase 7 Compound Analyzer** clustered these findings together, stepped back, and synthesized a critical zero-day exploit that the single-agent baseline missed: +PR-AF's **Compound Analyzer** clustered these findings together and synthesized a critical zero-day exploit that the single-agent baseline missed entirely: > **Complete System Compromise via Coordinated DB Config Injection** > *Severity: Critical | Score: 1.104* > The combination of multiple unprotected security-sensitive fields in the DB config merge logic creates a complete authentication and authorization bypass chain. An attacker with database write access can simultaneously inject malicious values across all authentication vectors. This is not an isolated missing validation, but a systemic control gap. +### 3. Adversarial Red Teaming +Before any finding reaches the user, it must survive the **Adversary**. This is a cynical "Red Team" agent tasked exclusively with finding reasons why the reported bug is actually safe, intended behavior, or mitigated elsewhere in the codebase. Only findings that survive this adversarial tension make it to the PR comment. + +### 4. Dynamic Meta-Dimensions +PR-AF does not use static review prompts. It begins by running the PR through three parallel lenses: *Semantic* (logic/behavior), *Mechanical* (types/signatures), and *Systemic* (architecture/patterns). These meta-selectors dynamically generate custom, highly specific review criteria tailored exactly to the PR's anatomy, which are then used to dispatch the actual reviewing agents. + *(See the full [Evaluation & Benchmarks](benchmark/agentfield-254/EVALUATION.md) against Claude Code)* --- From 08618fb1c3703ce0536c72b555486ae360ad530f Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 21:09:28 +0530 Subject: [PATCH 13/62] ci: add GitHub Actions for linting and Docker build --- .github/workflows/ci.yml | 31 +++++++++++++++++++++++++++++++ 1 file changed, 31 insertions(+) create mode 100644 .github/workflows/ci.yml diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..4f7fad2 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,31 @@ +name: CI + +on: + push: + branches: ["main"] + pull_request: + branches: ["main"] + +jobs: + lint: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Setup Python + uses: actions/setup-python@v5 + with: + python-version: "3.11" + cache: "pip" + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install ".[dev]" + - name: Run Ruff + run: ruff check . + + docker-build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Build Docker Image + run: docker build -t pr-af:test . From 5aa69d34bc4df9c330641b84e69eaf16db864cb4 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 21:14:01 +0530 Subject: [PATCH 14/62] feat: add github actions ci/cd integration - Added ci_runner.py to handle async execution polling - Updated README with drop-in GitHub Actions workflow template - Configured to use native GITHUB_TOKEN for zero-config deployment - Set workflow trigger to act on 'pr-af' label --- README.md | 52 +++++++++++++++++++++++++++++ scripts/ci_runner.py | 79 ++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 131 insertions(+) create mode 100755 scripts/ci_runner.py diff --git a/README.md b/README.md index c94d5fa..a1cc59b 100644 --- a/README.md +++ b/README.md @@ -97,3 +97,55 @@ curl -X POST http://localhost:8080/api/v1/execute/async/pr-af.review \ ``` *(When `dry_run: true`, the agent evaluates the PR but does not actually post the comments to GitHub. Check the Control Plane UI to view the final payload).* + +## GitHub Actions CI/CD (Zero Config) + +The easiest way to use PR-AF is dropping it into your GitHub Actions. It requires **zero configuration** other than an OpenRouter API key. + +By default, it uses the built-in `GITHUB_TOKEN`, meaning PR-AF will securely post review comments using the standard `github-actions[bot]` account. + +Add this workflow to your repository at `.github/workflows/pr-af-review.yml`. It triggers automatically whenever you add the **`pr-af`** label to a Pull Request. + +```yaml +name: AgentField PR Review + +on: + pull_request: + types: [labeled] + +jobs: + pr-af-review: + if: github.event.label.name == 'pr-af' + runs-on: ubuntu-latest + + # Needs permissions to post comments and read code + permissions: + contents: read + pull-requests: write + + steps: + - name: Checkout PR-AF + uses: actions/checkout@v4 + with: + repository: Agent-Field/pr-af + path: pr-af + + - name: Start AgentField & PR-AF + working-directory: ./pr-af + env: + OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }} + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + run: | + docker compose up -d + # Wait for services to be healthy + sleep 15 + + - name: Execute Deep Architectural Audit + working-directory: ./pr-af + env: + PR_URL: ${{ github.event.pull_request.html_url }} + run: | + python3 scripts/ci_runner.py +``` + +*Note: PR-AF runs a comprehensive multi-agent DAG. Reviews typically take 35-50 minutes depending on PR complexity.* diff --git a/scripts/ci_runner.py b/scripts/ci_runner.py new file mode 100755 index 0000000..3e9ea17 --- /dev/null +++ b/scripts/ci_runner.py @@ -0,0 +1,79 @@ +#!/usr/bin/env python3 +""" +CI Runner for PR-AF +Fires an async execution to the AgentField Control Plane and polls until completion. +Ensures GitHub Actions runners stay alive while the multi-agent DAG executes. +""" + +import os +import sys +import time +import json +import urllib.request +import urllib.error + +CP_URL = os.environ.get("AGENTFIELD_SERVER", "http://localhost:8080") + +def main(): + pr_url = os.environ.get("PR_URL") + if not pr_url: + print("Error: PR_URL environment variable is required.") + sys.exit(1) + + print(f"[CI] Initiating PR-AF Review for: {pr_url}") + + # 1. Fire the execution + payload = json.dumps({ + "input": { + "pr_url": pr_url, + "depth": "standard", + "dry_run": False + } + }).encode("utf-8") + + req = urllib.request.Request( + f"{CP_URL}/api/v1/execute/async/pr-af.review", + data=payload, + headers={"Content-Type": "application/json"} + ) + + try: + with urllib.request.urlopen(req) as response: + res_data = json.loads(response.read().decode()) + exec_id = res_data.get("execution_id") + if not exec_id: + print("Error: Failed to get execution_id") + sys.exit(1) + print(f"[CI] Review dispatched. Execution ID: {exec_id}") + except urllib.error.URLError as e: + print(f"Error triggering review: {e}") + sys.exit(1) + + # 2. Poll for completion + print("[CI] Polling for completion (this may take 30-60 minutes)...") + start_time = time.time() + + while True: + time.sleep(30) # Poll every 30s + elapsed_min = (time.time() - start_time) / 60 + + status_req = urllib.request.Request(f"{CP_URL}/api/ui/v1/executions/{exec_id}/details") + try: + with urllib.request.urlopen(status_req) as response: + status_data = json.loads(response.read().decode()) + status = status_data.get("status") + + print(f"[{elapsed_min:.1f}m] Status: {status}") + + if status == "succeeded": + print("\n[CI] Review completed successfully!") + sys.exit(0) + elif status in ("failed", "cancelled"): + print(f"\n[CI] Review ended with status: {status}") + print(f"Error details: {status_data.get('error', 'None')}") + sys.exit(1) + except urllib.error.URLError as e: + print(f"[{elapsed_min:.1f}m] Warning: Could not reach Control Plane API: {e}") + +if __name__ == "__main__": + main() From 2207b6ac954c62a0df2537594e972f0b6b8698e9 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 21:24:00 +0530 Subject: [PATCH 15/62] feat: add branded footers to GitHub comments - Appended 'Reviewed by AgentField PR-AF' to all inline comments - Added stylish AgentField shield badge to main PR summary - Pointed internal links to the new Agent-Field/pr-af repo --- src/pr_af/orchestrator.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/src/pr_af/orchestrator.py b/src/pr_af/orchestrator.py index 54ee9b8..2e554b8 100644 --- a/src/pr_af/orchestrator.py +++ b/src/pr_af/orchestrator.py @@ -1321,6 +1321,8 @@ def _format_comment_body(self, finding: ScoredFinding) -> str: if meta_parts: lines.extend(["", f"---", f"*{' · '.join(meta_parts)}*"]) + lines.extend(["", "🤖 Reviewed by [AgentField PR-AF](https://github.com/Agent-Field/pr-af)"]) + return "\n".join(lines).strip() @staticmethod @@ -1373,7 +1375,7 @@ def _format_summary( f"## {rating['emoji']} PR-AF Review — **{rating['label']}**", "", f"*Automated multi-agent code review · " - f"[PR-AF](https://github.com/Agent-Field/agentfield) built with " + f"[PR-AF](https://github.com/Agent-Field/pr-af) built with " f"[AgentField](https://github.com/Agent-Field/agentfield)*", "", f"> **{len(findings)} findings** · " @@ -1425,6 +1427,18 @@ def _format_summary( lines.append(f"Review ID: `{self.review_id}`") + lines.extend( + [ + "", + "
", + '
', + ' ', + ' AgentField PR-AF', + " ", + "
", + ] + ) + return "\n".join(lines) def _compute_rating(self, by_severity: dict[str, int], total: int) -> dict[str, str]: From a2dcbad1c1bc78aa19cfb5c8cb559bd9be966aa2 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 21:44:17 +0530 Subject: [PATCH 16/62] docs: refine README for clarity and add ecosystem comparison - Removed overly verbose architectural terminology and DAG references - Added Ecosystem Comparison table featuring Claude Code and Commercial SaaS (Codex/CodeRabbit) - Made the tone more objective, pointed, and respectful of other tools in the space - Focused explicitly on the core value props: Evidence Grounding, Compound Analysis, Adversarial Red Teaming --- README.md | 107 ++++++++++++++++-------------------------------------- 1 file changed, 32 insertions(+), 75 deletions(-) diff --git a/README.md b/README.md index a1cc59b..a69c53b 100644 --- a/README.md +++ b/README.md @@ -2,107 +2,65 @@ # PR-AF -### AI-Native Pull Request Review Pipeline Built on [AgentField](https://github.com/Agent-Field/agentfield) +### Deep Architectural Pull Request Reviewer Built on [AgentField](https://github.com/Agent-Field/agentfield) [![Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-16a34a?style=for-the-badge)](LICENSE) [![Python](https://img.shields.io/badge/python-3.11%2B-3776AB?style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/downloads/) [![Built with AgentField](https://img.shields.io/badge/Built%20with-AgentField-0A66C2?style=for-the-badge)](https://github.com/Agent-Field/agentfield) -[![More from Agent-Field](https://img.shields.io/badge/More_from-Agent--Field-111827?style=for-the-badge&logo=github)](https://github.com/Agent-Field)

- The Problem • - Why It Works • - Quick Start • - Benchmarks + How It Works • + Comparison • + Quick Start

-Single-agent code reviewers are fast, but they suffer from high false-positive rates and fail to grasp deep, architectural consequences. +Most AI code reviewers are incredibly fast and great at spotting surface-level errors (like typos, missing parameters, or unhandled exceptions). -**PR-AF** (Pull Request Agent Field) is a specialized multi-agent Directed Acyclic Graph (DAG) that operates as a **Deep Architectural Auditor**. By composing parallel hunters, programmatic evidence extraction, adversarial verification, and compound synthesis, PR-AF transforms an average LLM into a senior-level code reviewer capable of detecting systemic zero-day vulnerabilities. +However, when evaluating large, complex Pull Requests, single-prompt AI tools often hit a ceiling: they generate false positives by guessing how functions interact outside the diff, and they miss systemic vulnerabilities that span across multiple files. -*Zero false positives. Deep architectural insights. One API call.* +**PR-AF** (Pull Request Agent Field) is a specialized, multi-agent pipeline designed to act as a **deep architectural auditor**. Instead of relying on a single large language model call, PR-AF orchestrates dozens of micro-agents that extract hard evidence from your repository, debate findings, and synthesize compound attack chains. ---- - -## The AI Code Review Problem - -Most "AI PR Reviewers" just pipe a git diff into a single LLM prompt and ask it to find bugs. This creates three fatal flaws: - -1. **The Hallucination Trap:** Without traversing the actual repository, the LLM guesses how functions interact. It flags missing error handling that is actually handled cleanly three layers up. You get noisy, frustrating false positives. -2. **The Myopic View:** They spot surface-level, mechanical errors (e.g., missing parameters) but miss systemic flaws. They cannot see how three isolated, seemingly benign changes combine to create an exploit. -3. **The Static Prompt Ceiling:** Using the same "You are an expert reviewer" prompt for a CSS tweak and a highly concurrent database migration yields generic, unhelpful advice. - -## Architectural Intelligence - -PR-AF is built on the [Composite Intelligence](https://github.com/Agent-Field/agentfield) philosophy. We don't rely on a magical, omniscient model. Instead, the intelligence is encoded in the **architecture itself**. - -By composing ~100 synchronous micro-agent tasks, PR-AF achieves results impossible for a single agent. - -### 1. Evidence Grounding: Achieving Zero False Positives -LLMs are notoriously lazy and eager to please. If you ask them to find a bug, they will invent one. PR-AF solves this using a **Hybrid Evidence Layer**. +*Zero false positives. Deep architectural insights. Open-source and BYOK (Bring Your Own Keys).* -When an agent flags a vulnerability, PR-AF uses fast programmatic AST parsing to extract the exact caller snippets, import contexts, and cross-references from the repository. This hard data is fed into an isolated **Evidence Verifier** harness. Its sole job: prove the first agent wrong. If a claim cannot be irrefutably backed by the extracted code snippets, it is silently dropped. **In our benchmarks, this dropped the false positive rate to 0%.** +--- -### 2. Synthesizing Compound Attack Chains -Where a single-agent reviewer stops at "you forgot to validate this field," PR-AF looks at the whole board. +## How It Works -In our benchmark of a complex configuration migration PR, PR-AF's parallel agents found three isolated, medium-severity bugs across different files: an AdminToken override, an APIKey vulnerability, and a WebhookSecret overwrite. +PR-AF uses a multi-phase agentic pipeline to ensure rigor and depth: -PR-AF's **Compound Analyzer** clustered these findings together and synthesized a critical zero-day exploit that the single-agent baseline missed entirely: +### 1. Evidence Grounding (0% False Positives) +LLMs tend to make assumptions. If an agent thinks a parameter is missing, PR-AF doesn't immediately post a comment. Instead, it uses programmatic code extraction to pull the exact caller snippets and import contexts from your repository. An isolated **Evidence Verifier** agent is then forced to validate the claim against this ground-truth data. If the evidence doesn't support the bug, it's silently dropped. -> **Complete System Compromise via Coordinated DB Config Injection** -> *Severity: Critical | Score: 1.104* -> The combination of multiple unprotected security-sensitive fields in the DB config merge logic creates a complete authentication and authorization bypass chain. An attacker with database write access can simultaneously inject malicious values across all authentication vectors. This is not an isolated missing validation, but a systemic control gap. +### 2. Compound Analysis +Standard tools look at issues in isolation. PR-AF clusters isolated, seemingly minor findings across different files to see if they combine into a larger exploit. For example, finding an unprotected API key in one file and a database merge vulnerability in another will be synthesized into a single critical "Coordinated Injection" finding. ### 3. Adversarial Red Teaming -Before any finding reaches the user, it must survive the **Adversary**. This is a cynical "Red Team" agent tasked exclusively with finding reasons why the reported bug is actually safe, intended behavior, or mitigated elsewhere in the codebase. Only findings that survive this adversarial tension make it to the PR comment. - -### 4. Dynamic Meta-Dimensions -PR-AF does not use static review prompts. It begins by running the PR through three parallel lenses: *Semantic* (logic/behavior), *Mechanical* (types/signatures), and *Systemic* (architecture/patterns). These meta-selectors dynamically generate custom, highly specific review criteria tailored exactly to the PR's anatomy, which are then used to dispatch the actual reviewing agents. - -*(See the full [Evaluation & Benchmarks](benchmark/agentfield-254/EVALUATION.md) against Claude Code)* +Before any finding makes it to your GitHub PR, it must survive the **Adversary**—a cynical "Red Team" agent tasked exclusively with trying to prove why the reported bug is actually safe, intended behavior, or mitigated elsewhere in the codebase. --- -## Quick Start - -### 1. Configure the Agent -Ensure you have the AgentField Control Plane running. Define your environment variables in `.env`: -```bash -GH_TOKEN=ghp_your_github_token # To post comments -OPENROUTER_API_KEY=sk-or-your_key -HARNESS_MODEL=openrouter/moonshotai/kimi-k2.5 -``` +## Ecosystem Comparison -### 2. Start the Agent Node -```bash -docker compose up -d -``` +There are excellent AI code review tools on the market. PR-AF is not designed to replace fast, interactive tools; it is designed for comprehensive CI/CD gating where accuracy and architectural depth matter more than speed. -### 3. Dispatch a Review -Trigger the review asynchronously through the control plane: - -```bash -curl -X POST http://localhost:8080/api/v1/execute/async/pr-af.review \ - -H "Content-Type: application/json" \ - -d '{ - "input": { - "pr_url": "https://github.com/Agent-Field/agentfield/pull/254", - "depth": "standard", - "dry_run": true - } - }' -``` +| Feature | PR-AF (AgentField) | Claude Code CLI | Commercial SaaS (e.g. Codex, CodeRabbit) | +|---|---|---|---| +| **Best For** | Deep CI/CD architectural audits | Fast, iterative inner-loop development | Clean GitHub UX and chat-based reviews | +| **Cost** | **Free / Open Source** (BYOK API costs only) | Pay-per-token (BYOK) | ~$20 - $25 / user / month | +| **Architecture** | Multi-agent orchestrated pipeline | Single-agent interactive loop | Agentic retrieval + LLM review | +| **Execution Time**| ~35-50 minutes | Seconds to minutes | ~2-5 minutes | +| **False Positives**| **Extremely low** (Evidence Verifier + Adversary) | Moderate (relies on context window) | Low-to-Moderate (heuristic filtering) | +| **Compound Risks**| **Yes** (Dedicated Compound Synthesizer) | Unlikely (diff-focused) | Partial (depends on retrieval accuracy) | -*(When `dry_run: true`, the agent evaluates the PR but does not actually post the comments to GitHub. Check the Control Plane UI to view the final payload).* +*We highly recommend using Claude Code for your local development and running PR-AF as your final GitHub Actions gatekeeper.* -## GitHub Actions CI/CD (Zero Config) +--- -The easiest way to use PR-AF is dropping it into your GitHub Actions. It requires **zero configuration** other than an OpenRouter API key. +## Quick Start: GitHub Actions (Zero Config) -By default, it uses the built-in `GITHUB_TOKEN`, meaning PR-AF will securely post review comments using the standard `github-actions[bot]` account. +The easiest way to use PR-AF is to drop it into your GitHub Actions. It requires **zero configuration** and runs securely using GitHub's built-in `GITHUB_TOKEN`. Add this workflow to your repository at `.github/workflows/pr-af-review.yml`. It triggers automatically whenever you add the **`pr-af`** label to a Pull Request. @@ -137,8 +95,7 @@ jobs: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | docker compose up -d - # Wait for services to be healthy - sleep 15 + sleep 15 # Wait for services to be healthy - name: Execute Deep Architectural Audit working-directory: ./pr-af @@ -148,4 +105,4 @@ jobs: python3 scripts/ci_runner.py ``` -*Note: PR-AF runs a comprehensive multi-agent DAG. Reviews typically take 35-50 minutes depending on PR complexity.* +*Note: PR-AF runs a comprehensive multi-agent pipeline. Reviews typically take 35-50 minutes depending on PR complexity.* From 9d46f9079d765cec9e53de31252299749437a2e0 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 21:52:14 +0530 Subject: [PATCH 17/62] docs: refine README terminology to emphasize large-scale cognitive architecture - Removed references to 'Red Team agent' and simple 'agents' to avoid sounding trivial - Replaced with 'Falsifiability Gates' and 'auto-invalidation process' - Enhanced 'Compound Vulnerability Synthesis' to focus on cross-correlated risks and systemic coalescence - Framed the architecture as a 'massively parallel cognitive pipeline' --- README.md | 26 ++++++++++++-------------- 1 file changed, 12 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index a69c53b..6c4ae3a 100644 --- a/README.md +++ b/README.md @@ -16,11 +16,9 @@ -Most AI code reviewers are incredibly fast and great at spotting surface-level errors (like typos, missing parameters, or unhandled exceptions). +Most AI code reviewers are incredibly fast and great at spotting surface-level syntax errors or missing parameters. However, when evaluating large, complex Pull Requests, single-prompt AI tools often hit a ceiling: they generate false positives by guessing how functions interact outside the diff, and they miss systemic vulnerabilities that span across multiple files. -However, when evaluating large, complex Pull Requests, single-prompt AI tools often hit a ceiling: they generate false positives by guessing how functions interact outside the diff, and they miss systemic vulnerabilities that span across multiple files. - -**PR-AF** (Pull Request Agent Field) is a specialized, multi-agent pipeline designed to act as a **deep architectural auditor**. Instead of relying on a single large language model call, PR-AF orchestrates dozens of micro-agents that extract hard evidence from your repository, debate findings, and synthesize compound attack chains. +**PR-AF** (Pull Request Agent Field) is a specialized pipeline designed to act as a **deep architectural auditor**. Instead of relying on a single large language model call, PR-AF orchestrates a massively parallel cognitive architecture that extracts hard evidence from your repository, filters out noise, and synthesizes compound attack chains. *Zero false positives. Deep architectural insights. Open-source and BYOK (Bring Your Own Keys).* @@ -28,30 +26,30 @@ However, when evaluating large, complex Pull Requests, single-prompt AI tools of ## How It Works -PR-AF uses a multi-phase agentic pipeline to ensure rigor and depth: +PR-AF uses a multi-phase cognitive pipeline to ensure rigorous, high-fidelity reviews: ### 1. Evidence Grounding (0% False Positives) -LLMs tend to make assumptions. If an agent thinks a parameter is missing, PR-AF doesn't immediately post a comment. Instead, it uses programmatic code extraction to pull the exact caller snippets and import contexts from your repository. An isolated **Evidence Verifier** agent is then forced to validate the claim against this ground-truth data. If the evidence doesn't support the bug, it's silently dropped. +Language models inherently operate on probability, which leads to assumption-based false positives. If the system flags a missing validation check, PR-AF does not immediately accept it. Instead, it utilizes programmatic AST (Abstract Syntax Tree) extraction to pull the exact caller snippets and import contexts from the broader repository. This raw data is then evaluated through an isolated verification layer. If the initial claim cannot be irrefutably grounded in the extracted code, it is silently pruned. -### 2. Compound Analysis -Standard tools look at issues in isolation. PR-AF clusters isolated, seemingly minor findings across different files to see if they combine into a larger exploit. For example, finding an unprotected API key in one file and a database merge vulnerability in another will be synthesized into a single critical "Coordinated Injection" finding. +### 2. Compound Vulnerability Synthesis +Standard tools analyze code linearly. PR-AF looks at the entire board to identify cross-correlated risks. It clusters isolated, seemingly minor anomalies across different files and evaluates them concurrently to detect whether they coalesce into a larger systemic exploit. For example, identifying an unprotected API key in one module and a database merge vulnerability in another will be synthesized into a single, high-severity "Coordinated Injection" finding. -### 3. Adversarial Red Teaming -Before any finding makes it to your GitHub PR, it must survive the **Adversary**—a cynical "Red Team" agent tasked exclusively with trying to prove why the reported bug is actually safe, intended behavior, or mitigated elsewhere in the codebase. +### 3. Falsifiability Gates +Before any finding is compiled into the final GitHub comment, it must pass through a strict falsifiability framework. The system actively attempts to invalidate its own findings—searching for reasons why the reported anomaly might be safe, intended behavior, or securely mitigated elsewhere in the codebase structure. Only findings that survive this aggressive auto-invalidation process are surfaced to the developer. --- ## Ecosystem Comparison -There are excellent AI code review tools on the market. PR-AF is not designed to replace fast, interactive tools; it is designed for comprehensive CI/CD gating where accuracy and architectural depth matter more than speed. +There are excellent AI code review tools on the market. PR-AF is not designed to replace fast, interactive tools; it is designed for comprehensive CI/CD gating where accuracy and architectural depth matter more than execution speed. | Feature | PR-AF (AgentField) | Claude Code CLI | Commercial SaaS (e.g. Codex, CodeRabbit) | |---|---|---|---| | **Best For** | Deep CI/CD architectural audits | Fast, iterative inner-loop development | Clean GitHub UX and chat-based reviews | | **Cost** | **Free / Open Source** (BYOK API costs only) | Pay-per-token (BYOK) | ~$20 - $25 / user / month | -| **Architecture** | Multi-agent orchestrated pipeline | Single-agent interactive loop | Agentic retrieval + LLM review | +| **Architecture** | Massively parallel cognitive pipeline | Single-thread interactive loop | Context retrieval + LLM review | | **Execution Time**| ~35-50 minutes | Seconds to minutes | ~2-5 minutes | -| **False Positives**| **Extremely low** (Evidence Verifier + Adversary) | Moderate (relies on context window) | Low-to-Moderate (heuristic filtering) | +| **False Positives**| **Extremely low** (Evidence Grounding) | Moderate (relies on context window) | Low-to-Moderate (heuristic filtering) | | **Compound Risks**| **Yes** (Dedicated Compound Synthesizer) | Unlikely (diff-focused) | Partial (depends on retrieval accuracy) | *We highly recommend using Claude Code for your local development and running PR-AF as your final GitHub Actions gatekeeper.* @@ -105,4 +103,4 @@ jobs: python3 scripts/ci_runner.py ``` -*Note: PR-AF runs a comprehensive multi-agent pipeline. Reviews typically take 35-50 minutes depending on PR complexity.* +*Note: PR-AF runs a comprehensive parallel pipeline. Reviews typically take 35-50 minutes depending on PR complexity.* From 7c863876d62bf527fe8d1760f12e5f580862cfc2 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Wed, 11 Mar 2026 21:58:45 +0530 Subject: [PATCH 18/62] docs: add dynamic architecture section and mermaid diagram - Added a 'Dynamic Pipeline Architecture' section detailing how PR-AF morphs its execution graph based on PR topology - Authored a complex, highly technical Mermaid diagram showing the flow from Intake -> Lenses -> Verification -> Compound Synthesis - Elevated language to emphasize large-scale cognitive orchestration rather than static scripts --- README.md | 58 ++++++++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 55 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 6c4ae3a..b8ea93f 100644 --- a/README.md +++ b/README.md @@ -10,23 +10,75 @@

How It Works • + Architecture • Comparison • Quick Start

-Most AI code reviewers are incredibly fast and great at spotting surface-level syntax errors or missing parameters. However, when evaluating large, complex Pull Requests, single-prompt AI tools often hit a ceiling: they generate false positives by guessing how functions interact outside the diff, and they miss systemic vulnerabilities that span across multiple files. +Most AI code reviewers are incredibly fast and great at spotting surface-level syntax errors or missing parameters. However, when evaluating large, complex Pull Requests, static AI tools hit a ceiling: they generate false positives by guessing how functions interact outside the diff, and they miss systemic vulnerabilities that span across multiple files. -**PR-AF** (Pull Request Agent Field) is a specialized pipeline designed to act as a **deep architectural auditor**. Instead of relying on a single large language model call, PR-AF orchestrates a massively parallel cognitive architecture that extracts hard evidence from your repository, filters out noise, and synthesizes compound attack chains. +**PR-AF** (Pull Request Agent Field) is a specialized pipeline designed to act as a **deep architectural auditor**. Instead of relying on a single language model prompt, PR-AF orchestrates a massively parallel, dynamically self-adapting cognitive architecture that extracts hard evidence from your repository, filters out noise, and synthesizes compound attack chains. *Zero false positives. Deep architectural insights. Open-source and BYOK (Bring Your Own Keys).* --- +## Dynamic Pipeline Architecture + +PR-AF does not execute a static script. It structurally morphs its own execution graph based on the topology of the incoming Pull Request. + +When a PR arrives, the system dynamically compiles **Meta-Dimensions**—evaluating the diff through semantic (logic), mechanical (types), and systemic (architecture) lenses. It uses these dimensions to spawn specialized, ephemeral sub-routines tailored exclusively to the exact context of the current PR. + +```mermaid +graph TD + classDef intake fill:#f3f4f6,stroke:#4b5563,stroke-width:2px; + classDef dynamic fill:#dbeafe,stroke:#3b82f6,stroke-width:2px; + classDef verify fill:#fef3c7,stroke:#2563eb,stroke-width:2px; + classDef synthesize fill:#ede9fe,stroke:#d97706,stroke-width:2px; + classDef output fill:#ecfdf5,stroke:#8b5cf6,stroke-width:2px; + + PR[Incoming Pull Request] --> I1[Intake Triage]:::intake + I1 --> A1[Topological Anatomy Mapping]:::intake + + A1 --> M1[Semantic Lens Generator]:::dynamic + A1 --> M2[Mechanical Lens Generator]:::dynamic + A1 --> M3[Systemic Lens Generator]:::dynamic + + M1 --> D[Dimension Deduplication & Compilation]:::dynamic + M2 --> D + M3 --> D + + D -->|Dynamically spawns N dimensions| R1(Thread 1: State Mutation) + D --> R2(Thread 2: API Boundaries) + D --> R3(Thread N: Dynamic Context...) + + R1 --> E[Programmatic AST Extraction Engine]:::verify + R2 --> E + R3 --> E + + E -->|Ground truth caller snippets| V[Evidence Verification Layer]:::verify + V -->|Unsubstantiated claims pruned| F[Falsifiability Gate]:::verify + + F --> C1(Compound Cluster: File Topology) + F --> C2(Compound Cluster: Shared Imports) + F --> C3(Compound Cluster: Tag Overlap) + + C1 --> S[Compound Vulnerability Synthesis]:::synthesize + C2 --> S + C3 --> S + + S --> L{Coverage Depth Gate} + L -->|Blind spots detected| I1 + L -->|Full coverage achieved| O[Synthesized GitHub Annotations]:::output +``` + +--- + ## How It Works -PR-AF uses a multi-phase cognitive pipeline to ensure rigorous, high-fidelity reviews: +PR-AF uses this multi-phase cognitive pipeline to ensure rigorous, high-fidelity reviews: ### 1. Evidence Grounding (0% False Positives) Language models inherently operate on probability, which leads to assumption-based false positives. If the system flags a missing validation check, PR-AF does not immediately accept it. Instead, it utilizes programmatic AST (Abstract Syntax Tree) extraction to pull the exact caller snippets and import contexts from the broader repository. This raw data is then evaluated through an isolated verification layer. If the initial claim cannot be irrefutably grounded in the extracted code, it is silently pruned. From 0995af6f66cfda400168a838e2a3ee1f370107ba Mon Sep 17 00:00:00 2001 From: Abir Abbas Date: Wed, 11 Mar 2026 14:39:32 -0400 Subject: [PATCH 19/62] lint fixes --- scripts/ci_runner.py | 4 +- src/pr_af/app.py | 17 ++++----- src/pr_af/blast_radius.py | 2 +- src/pr_af/config.py | 7 ++-- src/pr_af/evidence.py | 20 +++++----- src/pr_af/github/client.py | 5 ++- src/pr_af/orchestrator.py | 63 ++++++++++++++++---------------- src/pr_af/reasoners/harnesses.py | 6 +-- src/pr_af/schemas/pipeline.py | 1 - src/pr_af/scoring.py | 8 +++- 10 files changed, 67 insertions(+), 66 deletions(-) diff --git a/scripts/ci_runner.py b/scripts/ci_runner.py index 3e9ea17..5469c92 100755 --- a/scripts/ci_runner.py +++ b/scripts/ci_runner.py @@ -5,12 +5,12 @@ Ensures GitHub Actions runners stay alive while the multi-agent DAG executes. """ +import json import os import sys import time -import json -import urllib.request import urllib.error +import urllib.request CP_URL = os.environ.get("AGENTFIELD_SERVER", "http://localhost:8080") diff --git a/src/pr_af/app.py b/src/pr_af/app.py index 9ee9c63..c69cdd1 100644 --- a/src/pr_af/app.py +++ b/src/pr_af/app.py @@ -1,30 +1,27 @@ from __future__ import annotations # pyright: reportMissingImports=false - import os import subprocess from pathlib import Path from typing import Any, cast import agentfield as _agentfield +from agentfield import Agent, AIConfig from dotenv import load_dotenv - -_project_root = Path(__file__).resolve().parents[2] -load_dotenv(_project_root / ".env") - from fastapi import HTTPException -from agentfield import AIConfig, Agent - from .config import AIIntegrationConfig, ReviewConfig from .orchestrator import ReviewOrchestrator from .reasoners import router as reasoner_router from .schemas.input import ReviewInput # noqa: TC001 +_project_root = Path(__file__).resolve().parents[2] +load_dotenv(_project_root / ".env") + _ai_config = AIIntegrationConfig.from_env() NODE_ID = os.getenv("PR_AF", "pr-af") -HarnessConfig = getattr(_agentfield, "HarnessConfig") +HarnessConfig = _agentfield.HarnessConfig app = Agent( node_id=NODE_ID, @@ -164,7 +161,9 @@ async def review( suggestion_mode: str = "comment", ) -> dict[str, object]: print( - f"[PR-AF DEBUG] review() called with pr_url={pr_url!r}, diff_text={'' if diff_text else None}, repo_path={repo_path!r}, depth={depth!r}, dry_run={dry_run!r}", + f"[PR-AF DEBUG] review() called with pr_url={pr_url!r}, " + f"diff_text={'' if diff_text else None}, repo_path={repo_path!r}, " + f"depth={depth!r}, dry_run={dry_run!r}", flush=True, ) review_input = ReviewInput( diff --git a/src/pr_af/blast_radius.py b/src/pr_af/blast_radius.py index 96d94e2..e77a60e 100644 --- a/src/pr_af/blast_radius.py +++ b/src/pr_af/blast_radius.py @@ -59,7 +59,7 @@ def build_import_graph(repo_path: str) -> dict[str, list[str]]: for py_file in py_files: rel_path = os.path.relpath(py_file, repo_path) try: - with open(py_file, "r", encoding="utf-8", errors="ignore") as fh: + with open(py_file, encoding="utf-8", errors="ignore") as fh: content = fh.read() except OSError: continue diff --git a/src/pr_af/config.py b/src/pr_af/config.py index 3dcbc2b..e4f07e4 100644 --- a/src/pr_af/config.py +++ b/src/pr_af/config.py @@ -221,11 +221,12 @@ def from_input(cls, review_input: ReviewInput) -> ReviewConfig: return config @classmethod - def from_yaml(cls, path: str) -> "ReviewConfig": + def from_yaml(cls, path: str) -> ReviewConfig: """Load config from .pr-af.yml file.""" - import yaml # noqa: C0415 from pathlib import Path as _Path + import yaml + config_path = _Path(path) if not config_path.exists(): return cls() @@ -261,7 +262,7 @@ class AIIntegrationConfig(BaseModel): ) @classmethod - def from_env(cls) -> "AIIntegrationConfig": + def from_env(cls) -> AIIntegrationConfig: return cls() def provider_env(self) -> dict[str, str]: diff --git a/src/pr_af/evidence.py b/src/pr_af/evidence.py index f42a487..5e819f5 100644 --- a/src/pr_af/evidence.py +++ b/src/pr_af/evidence.py @@ -5,10 +5,12 @@ import re import subprocess from collections import OrderedDict +from typing import TYPE_CHECKING from pydantic import BaseModel, Field -from .schemas.pipeline import ReviewFinding +if TYPE_CHECKING: + from .schemas.pipeline import ReviewFinding _SKIP_DIRS = (".git", "node_modules", "__pycache__", ".venv", "vendor", "venv") _TEXT_EXTENSIONS = { @@ -191,7 +193,7 @@ def _read_code_snippet(repo_path: str, file_path: str, line: int, context_lines: return "" try: - with open(abs_path, "r", encoding="utf-8", errors="ignore") as handle: + with open(abs_path, encoding="utf-8", errors="ignore") as handle: lines = handle.readlines() except OSError: return "" @@ -346,7 +348,7 @@ def _build_import_context(repo_path: str, file_path: str) -> str: imports: list[str] = [] if _is_text_file(abs_path): try: - with open(abs_path, "r", encoding="utf-8", errors="ignore") as handle: + with open(abs_path, encoding="utf-8", errors="ignore") as handle: for raw_line in handle: stripped = raw_line.strip() if stripped.startswith("import ") or stripped.startswith("from "): @@ -415,7 +417,7 @@ def _extract_blast_radius_code( continue try: - with open(abs_path, "r", encoding="utf-8", errors="ignore") as handle: + with open(abs_path, encoding="utf-8", errors="ignore") as handle: lines = handle.readlines() except OSError: continue @@ -481,9 +483,8 @@ def _extract_hunk_for_line(patch_lines: list[str], line: int) -> list[str]: for raw in patch_lines: if raw.startswith("@@"): - if current_hunk and current_count > 0: - if current_start <= line < current_start + current_count: - return current_hunk + if current_hunk and current_count > 0 and current_start <= line < current_start + current_count: + return current_hunk current_hunk = [raw] match = re.match(r"@@ -\d+(?:,\d+)? \+(\d+)(?:,(\d+))? @@", raw) if match: @@ -495,9 +496,8 @@ def _extract_hunk_for_line(patch_lines: list[str], line: int) -> list[str]: elif current_hunk: current_hunk.append(raw) - if current_hunk and current_count > 0: - if current_start <= line < current_start + current_count: - return current_hunk + if current_hunk and current_count > 0 and current_start <= line < current_start + current_count: + return current_hunk return [] diff --git a/src/pr_af/github/client.py b/src/pr_af/github/client.py index ec1816e..877fa5f 100644 --- a/src/pr_af/github/client.py +++ b/src/pr_af/github/client.py @@ -3,11 +3,14 @@ import os import re import subprocess +from typing import TYPE_CHECKING import httpx from ..schemas.input import ChangedFile, GitHubPRData -from ..schemas.output import GitHubReview + +if TYPE_CHECKING: + from ..schemas.output import GitHubReview class GitHubClient: diff --git a/src/pr_af/orchestrator.py b/src/pr_af/orchestrator.py index 2e554b8..5d38158 100644 --- a/src/pr_af/orchestrator.py +++ b/src/pr_af/orchestrator.py @@ -54,22 +54,21 @@ ReviewDimension, ReviewFinding, ReviewPlan, - SubReviewRequest, ) from .scoring import deduplicate_exact, determine_review_event, score_findings -class BudgetExhausted(RuntimeError): +class BudgetExhaustedError(RuntimeError): pass def _unwrap(result: object) -> dict: if isinstance(result, dict): if "output" in result: - return cast(dict, result["output"]) + return cast("dict", result["output"]) if "result" in result: - return cast(dict, result["result"]) - return cast(dict, result) + return cast("dict", result["result"]) + return cast("dict", result) class ReviewOrchestrator: @@ -178,7 +177,7 @@ async def run(self) -> ReviewResult: async def _run_intake(self) -> IntakeResult: if self._budget_or_timeout_exhausted("intake"): - raise BudgetExhausted("Budget exhausted before intake") + raise BudgetExhaustedError("Budget exhausted before intake") if self.input.pr_url: client = GitHubClient() @@ -224,7 +223,7 @@ async def _run_intake(self) -> IntakeResult: async def _run_anatomy(self, intake: IntakeResult) -> AnatomyResult: if self._budget_or_timeout_exhausted("anatomy"): - raise BudgetExhausted("Budget exhausted before anatomy") + raise BudgetExhaustedError("Budget exhausted before anatomy") if self.pr_data is None: raise RuntimeError("PR data not initialized") @@ -240,7 +239,7 @@ async def _run_anatomy(self, intake: IntakeResult) -> AnatomyResult: async def _run_planning(self, intake: IntakeResult, anatomy: AnatomyResult, review_depth: str) -> ReviewPlan: if self._budget_or_timeout_exhausted("planning"): - raise BudgetExhausted("Budget exhausted before planning") + raise BudgetExhaustedError("Budget exhausted before planning") result_raw = await planning_phase( intake=intake.model_dump(), @@ -260,7 +259,7 @@ async def _run_planning(self, intake: IntakeResult, anatomy: AnatomyResult, revi async def _run_meta_selectors(self, intake: IntakeResult, anatomy: AnatomyResult, review_depth: str) -> ReviewPlan: if self._budget_or_timeout_exhausted("meta_selectors"): - raise BudgetExhausted("Budget exhausted before meta-selectors") + raise BudgetExhaustedError("Budget exhausted before meta-selectors") lenses = self.meta_config.enabled_lenses lens_map = { @@ -500,7 +499,8 @@ async def run_dimension(dim: ReviewDimension, depth: int) -> None: sub_reviews = self._extract_sub_reviews(result_raw, dim) if sub_reviews and depth < max_depth and not self._budget_or_timeout_exhausted("review"): print( - f"[PR-AF] Dimension '{dim.name}' spawned {len(sub_reviews)} sub-review(s) at depth {depth + 1}/{max_depth}", + f"[PR-AF] Dimension '{dim.name}' spawned {len(sub_reviews)} " + f"sub-review(s) at depth {depth + 1}/{max_depth}", flush=True, ) sub_tasks = [run_dimension(sub_dim, depth + 1) for sub_dim in sub_reviews] @@ -617,7 +617,7 @@ async def _run_coverage_loop( gate = gate_raw if isinstance(gate_raw, dict) else {} fully_covered = bool(gate.get("fully_covered", False)) confident = bool(gate.get("confident", True)) - gap_descriptions = cast(list[str], gate.get("gap_descriptions", [])) + gap_descriptions = cast("list[str]", gate.get("gap_descriptions", [])) self.coverage_iterations += 1 if fully_covered or not confident or not gap_descriptions: @@ -777,12 +777,11 @@ def _cleanup_context_dir(self) -> None: return ctx_dir = os.path.join(repo_path, ".pr-af-context") if os.path.isdir(ctx_dir): + import contextlib import shutil - try: + with contextlib.suppress(OSError): shutil.rmtree(ctx_dir) - except OSError: - pass async def _generate_output( self, @@ -884,7 +883,8 @@ async def _generate_output( commit_sha=self.pr_data.head_sha, ) print( - f"[PR-AF] Posted review (COMMENT) to {self.pr_data.owner}/{self.pr_data.repo}#{self.pr_data.number}", + f"[PR-AF] Posted review (COMMENT) to " + f"{self.pr_data.owner}/{self.pr_data.repo}#{self.pr_data.number}", flush=True, ) except Exception as retry_exc: @@ -946,9 +946,7 @@ def _budget_or_timeout_exhausted(self, phase: str) -> bool: return True phase_spent = self.cost_breakdown.get(phase, 0.0) phase_cap = self.config.budget.phase_budgets.get(phase, float("inf")) - if phase_spent >= phase_cap: - return True - return False + return phase_spent >= phase_cap def _register_cost(self, phase: str, cost: float | None) -> None: if cost is None: @@ -992,13 +990,13 @@ def _extract_findings(self, result_raw: object, dim: ReviewDimension) -> list[Re findings_raw: list[dict[str, Any]] if isinstance(payload, dict): if isinstance(payload.get("findings"), list): - findings_raw = cast(list[dict[str, Any]], payload["findings"]) + findings_raw = cast("list[dict[str, Any]]", payload["findings"]) elif isinstance(payload.get("results"), list): - findings_raw = cast(list[dict[str, Any]], payload["results"]) + findings_raw = cast("list[dict[str, Any]]", payload["results"]) else: findings_raw = [] elif isinstance(payload, list): - findings_raw = cast(list[dict[str, Any]], payload) + findings_raw = cast("list[dict[str, Any]]", payload) else: findings_raw = [] @@ -1032,10 +1030,10 @@ def _extract_compound_findings(self, result_raw: object) -> list[ReviewFinding]: for key in ("findings", "results"): value = payload.get(key) if isinstance(value, list): - raw_list = cast(list[dict[str, Any]], value) + raw_list = cast("list[dict[str, Any]]", value) break elif isinstance(payload, list): - raw_list = cast(list[dict[str, Any]], payload) + raw_list = cast("list[dict[str, Any]]", payload) findings: list[ReviewFinding] = [] for item in raw_list: if not isinstance(item, dict): @@ -1074,10 +1072,8 @@ async def _dedup_compound_findings( payload = _unwrap(dedup_raw) keep_indices: list[int] = [] - reasoning = "" if isinstance(payload, dict): keep_indices = payload.get("keep_indices", []) - reasoning = payload.get("reasoning", "") if not keep_indices: return compound_findings @@ -1234,10 +1230,10 @@ def _extract_adversary_results(self, result_raw: object) -> list[AdversaryResult for key in ("results", "adversary_results", "findings"): value = payload.get(key) if isinstance(value, list): - raw_list = cast(list[dict[str, Any]], value) + raw_list = cast("list[dict[str, Any]]", value) break elif isinstance(payload, list): - raw_list = cast(list[dict[str, Any]], payload) + raw_list = cast("list[dict[str, Any]]", payload) return [AdversaryResult.model_validate(item) for item in raw_list] def _reviewed_clusters(self, anatomy: AnatomyResult, findings: list[ReviewFinding]) -> list[str]: @@ -1319,7 +1315,7 @@ def _format_comment_body(self, finding: ScoredFinding) -> str: pct = int(finding.confidence * 100) meta_parts.append(f"confidence {pct}%") if meta_parts: - lines.extend(["", f"---", f"*{' · '.join(meta_parts)}*"]) + lines.extend(["", "---", f"*{' · '.join(meta_parts)}*"]) lines.extend(["", "🤖 Reviewed by [AgentField PR-AF](https://github.com/Agent-Field/pr-af)"]) @@ -1374,9 +1370,9 @@ def _format_summary( lines: list[str] = [ f"## {rating['emoji']} PR-AF Review — **{rating['label']}**", "", - f"*Automated multi-agent code review · " - f"[PR-AF](https://github.com/Agent-Field/pr-af) built with " - f"[AgentField](https://github.com/Agent-Field/agentfield)*", + "*Automated multi-agent code review · " + "[PR-AF](https://github.com/Agent-Field/pr-af) built with " + "[AgentField](https://github.com/Agent-Field/agentfield)*", "", f"> **{len(findings)} findings** · " f"{emojis.get('critical', '')} {by_severity.get('critical', 0)} critical · " @@ -1433,7 +1429,10 @@ def _format_summary( "
", '", ] diff --git a/src/pr_af/reasoners/harnesses.py b/src/pr_af/reasoners/harnesses.py index 8350a8a..dca5486 100644 --- a/src/pr_af/reasoners/harnesses.py +++ b/src/pr_af/reasoners/harnesses.py @@ -4,7 +4,6 @@ from pydantic import BaseModel, Field -from . import router from ..blast_radius import compute_blast_radius from ..diff_engine import cluster_changes, compute_diff_stats, parse_unified_diff from ..schemas.gates import CoverageGate, IntakeGate @@ -13,15 +12,13 @@ AdversaryResult, AnatomyResult, ChangeCluster, - DiffStats, FileChange, IntakeResult, MetaDimensionResult, - ReviewDimension, ReviewFinding, ReviewPlan, - SubReviewRequest, ) +from . import router class _AnatomySemanticResult(BaseModel): @@ -1050,7 +1047,6 @@ async def compound_dedup_phase( genuinely unique insights vs near-duplicates covering the same ground. Returns the 0-based indices of findings to KEEP. """ - import json as _json if len(compound_findings) <= 1: return {"keep_indices": list(range(len(compound_findings))), "reasoning": "single finding, no dedup needed"} diff --git a/src/pr_af/schemas/pipeline.py b/src/pr_af/schemas/pipeline.py index 1017e96..821668d 100644 --- a/src/pr_af/schemas/pipeline.py +++ b/src/pr_af/schemas/pipeline.py @@ -11,7 +11,6 @@ from pydantic import BaseModel, Field - # --------------------------------------------------------------------------- # Phase 1 → Phase 3: Intake Result # Format: Hybrid (structured fields for routing + pr_summary string for LLM context) diff --git a/src/pr_af/scoring.py b/src/pr_af/scoring.py index facc2e5..8d5569d 100644 --- a/src/pr_af/scoring.py +++ b/src/pr_af/scoring.py @@ -9,9 +9,13 @@ from __future__ import annotations -from .config import ScoringConfig +from typing import TYPE_CHECKING + from .schemas.output import ScoredFinding -from .schemas.pipeline import AdversaryResult, ReviewFinding + +if TYPE_CHECKING: + from .config import ScoringConfig + from .schemas.pipeline import AdversaryResult, ReviewFinding def score_findings( From 831528291ffd9ddf3a88e91111884e6f49b300cc Mon Sep 17 00:00:00 2001 From: Abir Abbas Date: Wed, 11 Mar 2026 16:06:51 -0400 Subject: [PATCH 20/62] feat: add Railway deployment with GitHub App webhook integration - Add /webhook/github endpoint for @mention-triggered PR reviews - Add GitHub App authentication (JWT + installation tokens) to GitHubClient - Reviews post as pr-af[bot] when GitHub App is configured, falls back to PAT - Add railway.toml build config with healthcheck - Add PyJWT[crypto] dependency for GitHub App JWT signing - Configure Railway env vars with dynamic service references - Remove .env from tracking (contains sensitive keys) Co-Authored-By: Claude Opus 4.6 --- .env | 7 --- Dockerfile | 3 +- pyproject.toml | 1 + railway.toml | 8 +++ src/pr_af/app.py | 126 ++++++++++++++++++++++++++++++++++++- src/pr_af/github/client.py | 105 ++++++++++++++++++++++++++++--- 6 files changed, 232 insertions(+), 18 deletions(-) delete mode 100644 .env create mode 100644 railway.toml diff --git a/.env b/.env deleted file mode 100644 index 9e5b15c..0000000 --- a/.env +++ /dev/null @@ -1,7 +0,0 @@ -OPENROUTER_API_KEY=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 -AGENTFIELD_SERVER=http://localhost:9090 -HARNESS_PROVIDER=opencode -HARNESS_MODEL=openrouter/moonshotai/kimi-k2.5 -AI_MODEL=openrouter/moonshotai/kimi-k2.5 -GH_TOKEN=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 -GITHUB_TOKEN=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 diff --git a/Dockerfile b/Dockerfile index d689270..272f27a 100644 --- a/Dockerfile +++ b/Dockerfile @@ -19,7 +19,8 @@ RUN pip install --no-cache-dir --prefix=/install \ "httpx>=0.27" \ "python-dotenv>=1.0" \ "fastapi>=0.100" \ - "uvicorn>=0.20" && \ + "uvicorn>=0.20" \ + "PyJWT[crypto]>=2.8" && \ pip install --no-cache-dir --prefix=/install --no-deps . diff --git a/pyproject.toml b/pyproject.toml index 47e8277..d11d472 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,6 +17,7 @@ dependencies = [ "pyyaml>=6.0", "python-dotenv>=1.0", "fastapi>=0.100", + "PyJWT[crypto]>=2.8", ] [project.optional-dependencies] diff --git a/railway.toml b/railway.toml new file mode 100644 index 0000000..7a902bf --- /dev/null +++ b/railway.toml @@ -0,0 +1,8 @@ +[build] +dockerfilePath = "Dockerfile" + +[deploy] +healthcheckPath = "/health" +healthcheckTimeout = 30 +restartPolicyType = "ON_FAILURE" +restartPolicyMaxRetries = 3 diff --git a/src/pr_af/app.py b/src/pr_af/app.py index c69cdd1..1612e5c 100644 --- a/src/pr_af/app.py +++ b/src/pr_af/app.py @@ -1,15 +1,19 @@ from __future__ import annotations # pyright: reportMissingImports=false +import hashlib +import hmac +import json import os import subprocess from pathlib import Path from typing import Any, cast import agentfield as _agentfield +import httpx from agentfield import Agent, AIConfig from dotenv import load_dotenv -from fastapi import HTTPException +from fastapi import HTTPException, Request from .config import AIIntegrationConfig, ReviewConfig from .orchestrator import ReviewOrchestrator @@ -206,6 +210,126 @@ async def review( return result.model_dump() +# --------------------------------------------------------------------------- +# GitHub Webhook — @mention-triggered PR review +# --------------------------------------------------------------------------- +_BOT_MENTION = os.getenv("PR_AF_BOT_MENTION", "@pr-af") +_WEBHOOK_SECRET = os.getenv("GITHUB_WEBHOOK_SECRET", "") +_CP_URL = os.getenv("AGENTFIELD_SERVER", "http://localhost:8080") + + +def _verify_signature(payload: bytes, signature: str, secret: str) -> bool: + if not secret: + return True # no secret configured — skip verification + expected = "sha256=" + hmac.new( + secret.encode(), payload, hashlib.sha256 + ).hexdigest() + return hmac.compare_digest(expected, signature) + + +async def _fire_review( + pr_url: str, hints: list[str] | None = None +) -> str | None: + """Fire an async review execution via the Control Plane. Returns exec id.""" + input_payload: dict[str, object] = { + "pr_url": pr_url, + "depth": "standard", + "dry_run": False, + } + if hints: + input_payload["hints"] = hints + body = json.dumps({"input": input_payload}) + try: + async with httpx.AsyncClient(timeout=15.0) as client: + resp = await client.post( + f"{_CP_URL}/api/v1/execute/async/pr-af.review", + content=body, + headers={"Content-Type": "application/json"}, + ) + resp.raise_for_status() + return resp.json().get("execution_id") + except Exception as exc: + print(f"[PR-AF] Failed to fire review: {exc}", flush=True) + return None + + +def _extract_hints_from_comment(comment_body: str) -> list[str]: + """Extract review hints from the text after the @mention.""" + mention = _BOT_MENTION.lower() + lower = comment_body.lower() + idx = lower.find(mention) + if idx < 0: + return [] + after = comment_body[idx + len(mention) :].strip() + if after: + return [after] + return [] + + +def _get_pr_url_from_issue(payload: dict) -> str | None: + """Extract PR URL from an issue_comment webhook payload.""" + issue = payload.get("issue", {}) + pr_data = issue.get("pull_request", {}) + return pr_data.get("html_url") or None + + +async def webhook_github(request: Request) -> dict[str, object]: + """Handle GitHub webhook for @mention-triggered PR reviews. + + Listens for issue_comment events. When someone comments on a PR with + @pr-af (or the configured bot mention), fires an async review via the + Control Plane. Any text after the @mention is passed as review hints. + + Examples: + "@pr-af" — standard review + "@pr-af please focus on error handling and security" — guided review + """ + body = await request.body() + + sig = request.headers.get("x-hub-signature-256", "") + if _WEBHOOK_SECRET and not _verify_signature(body, sig, _WEBHOOK_SECRET): + raise HTTPException(status_code=401, detail="Invalid signature") + + event = request.headers.get("x-github-event", "") + if event == "ping": + return {"status": "pong"} + + if event != "issue_comment": + return {"status": "ignored", "reason": f"event={event}"} + + payload = json.loads(body) + action = payload.get("action", "") + if action != "created": + return {"status": "ignored", "reason": f"action={action}"} + + comment_body = payload.get("comment", {}).get("body", "") + if _BOT_MENTION.lower() not in comment_body.lower(): + return {"status": "ignored", "reason": "no bot mention"} + + # Only respond to comments on PRs (issue_comment fires for issues too) + pr_url = _get_pr_url_from_issue(payload) + if not pr_url: + return {"status": "ignored", "reason": "not a PR comment"} + + repo_name = payload.get("repository", {}).get("full_name", "") + issue_number = payload.get("issue", {}).get("number") + hints = _extract_hints_from_comment(comment_body) + + print( + f"[PR-AF] Webhook: {_BOT_MENTION} mentioned in " + f"{repo_name}#{issue_number} — firing review" + + (f" with hints: {hints}" if hints else ""), + flush=True, + ) + exec_id = await _fire_review(pr_url, hints=hints or None) + return {"status": "review_dispatched", "pr_url": pr_url, "execution_id": exec_id} + + +cast("Any", app).add_api_route( + "/webhook/github", webhook_github, methods=["POST"] +) + + async def health() -> dict[str, str]: return {"status": "healthy", "version": "0.1.0"} diff --git a/src/pr_af/github/client.py b/src/pr_af/github/client.py index 877fa5f..19fd8a3 100644 --- a/src/pr_af/github/client.py +++ b/src/pr_af/github/client.py @@ -3,20 +3,91 @@ import os import re import subprocess +import time from typing import TYPE_CHECKING import httpx +import jwt from ..schemas.input import ChangedFile, GitHubPRData if TYPE_CHECKING: from ..schemas.output import GitHubReview +# GitHub App credentials (set via env vars on Railway) +_GITHUB_APP_ID = os.getenv("GITHUB_APP_ID", "") +_GITHUB_APP_PRIVATE_KEY = os.getenv("GITHUB_APP_PRIVATE_KEY", "") + +# Cache for installation tokens: {installation_id: (token, expires_at)} +_token_cache: dict[int, tuple[str, float]] = {} + + +def _generate_app_jwt() -> str: + """Generate a short-lived JWT for GitHub App authentication.""" + now = int(time.time()) + payload = { + "iat": now - 60, # issued at (60s clock skew buffer) + "exp": now + (10 * 60), # expires in 10 minutes (max allowed) + "iss": _GITHUB_APP_ID, + } + return jwt.encode(payload, _GITHUB_APP_PRIVATE_KEY, algorithm="RS256") + + +async def _get_installation_token(owner: str, repo: str) -> str: + """Get an installation access token for a specific repo. + + First finds the installation ID for the repo, then exchanges + the App JWT for a scoped installation token. Tokens are cached + until 5 minutes before expiry. + """ + app_jwt = _generate_app_jwt() + headers = { + "Authorization": f"Bearer {app_jwt}", + "Accept": "application/vnd.github+json", + } + + async with httpx.AsyncClient(timeout=15.0) as client: + # Find installation for this repo + resp = await client.get( + f"https://api.github.com/repos/{owner}/{repo}/installation", + headers=headers, + ) + resp.raise_for_status() + installation_id = resp.json()["id"] + + # Check cache + if installation_id in _token_cache: + token, expires_at = _token_cache[installation_id] + if time.time() < expires_at - 300: # 5 min buffer + return token + + # Generate new installation token + resp = await client.post( + f"https://api.github.com/app/installations/{installation_id}/access_tokens", + headers=headers, + ) + resp.raise_for_status() + data = resp.json() + token = data["token"] + # Parse ISO 8601 expiry: "2024-01-01T00:00:00Z" + from datetime import datetime + + expires_at = datetime.fromisoformat( + data["expires_at"].replace("Z", "+00:00") + ).timestamp() + _token_cache[installation_id] = (token, expires_at) + return token + + +def _is_github_app_configured() -> bool: + return bool(_GITHUB_APP_ID and _GITHUB_APP_PRIVATE_KEY) + class GitHubClient: def __init__(self, token: str | None = None): self.token = token or os.getenv("GITHUB_TOKEN", "") self.base_url = "https://api.github.com" + self._use_app_auth = _is_github_app_configured() @staticmethod def parse_pr_url(url: str) -> tuple[str, str, int]: @@ -32,14 +103,26 @@ def _headers(self) -> dict[str, str]: headers["Authorization"] = f"Bearer {self.token}" return headers + async def _headers_for_repo(self, owner: str, repo: str) -> dict[str, str]: + """Get auth headers, preferring GitHub App installation token.""" + headers = {"Accept": "application/vnd.github+json"} + if self._use_app_auth: + token = await _get_installation_token(owner, repo) + headers["Authorization"] = f"Bearer {token}" + elif self.token: + headers["Authorization"] = f"Bearer {self.token}" + return headers + async def fetch_pr(self, pr_url: str) -> GitHubPRData: """Fetch PR metadata, diff, and changed files from GitHub API.""" owner, repo, number = self.parse_pr_url(pr_url) + auth_headers = await self._headers_for_repo(owner, repo) + async with httpx.AsyncClient(timeout=30.0) as client: pr_resp = await client.get( f"{self.base_url}/repos/{owner}/{repo}/pulls/{number}", - headers=self._headers(), + headers=auth_headers, ) pr_resp.raise_for_status() pr_data = pr_resp.json() @@ -49,7 +132,7 @@ async def fetch_pr(self, pr_url: str) -> GitHubPRData: while True: files_resp = await client.get( f"{self.base_url}/repos/{owner}/{repo}/pulls/{number}/files", - headers=self._headers(), + headers=auth_headers, params={"per_page": 100, "page": page}, ) files_resp.raise_for_status() @@ -78,7 +161,7 @@ async def fetch_pr(self, pr_url: str) -> GitHubPRData: while True: commits_resp = await client.get( f"{self.base_url}/repos/{owner}/{repo}/pulls/{number}/commits", - headers=self._headers(), + headers=auth_headers, params={"per_page": 100, "page": commit_page}, ) commits_resp.raise_for_status() @@ -95,8 +178,7 @@ async def fetch_pr(self, pr_url: str) -> GitHubPRData: break commit_page += 1 - diff_headers = self._headers() - diff_headers["Accept"] = "application/vnd.github.v3.diff" + diff_headers = {**auth_headers, "Accept": "application/vnd.github.v3.diff"} diff_resp = await client.get( f"{self.base_url}/repos/{owner}/{repo}/pulls/{number}", headers=diff_headers, @@ -149,14 +231,16 @@ async def post_review( print( f"[PR-AF] Posting review to {owner}/{repo}#{pr_number}: " f"event={review.event}, {len(review.comments)} comments, " - f"commit_sha={commit_sha[:12] if commit_sha else 'none'}", + f"commit_sha={commit_sha[:12] if commit_sha else 'none'}" + f", auth={'app' if self._use_app_auth else 'pat'}", flush=True, ) + auth_headers = await self._headers_for_repo(owner, repo) async with httpx.AsyncClient(timeout=60.0) as client: response = await client.post( f"{self.base_url}/repos/{owner}/{repo}/pulls/{pr_number}/reviews", - headers=self._headers(), + headers=auth_headers, json=payload, ) if response.status_code >= 400: @@ -175,11 +259,14 @@ async def clone_repo( shallow: bool = True, ) -> str: """Clone repository to local path. Returns the path.""" - token = os.getenv("GH_TOKEN") or self.token or os.getenv("GITHUB_TOKEN", "") + if self._use_app_auth: + token = await _get_installation_token(owner, repo) + else: + token = os.getenv("GH_TOKEN") or self.token or os.getenv("GITHUB_TOKEN", "") if not token: raise ValueError("GitHub token is required for clone_repo") - repo_url = f"https://{token}@github.com/{owner}/{repo}.git" + repo_url = f"https://x-access-token:{token}@github.com/{owner}/{repo}.git" command = ["git", "clone"] if shallow: command.extend(["--depth", "1"]) From 62b5010f8ea6ffd5a871c04872d05e4a9e31f20f Mon Sep 17 00:00:00 2001 From: Abir Abbas Date: Wed, 11 Mar 2026 16:23:40 -0400 Subject: [PATCH 21/62] fix: scope ruff lint to src/ and scripts/ only CI was failing because `ruff check .` picked up 1375 errors from the bundled .docker-sdk/agentfield/ directory which is third-party code. Co-Authored-By: Claude Opus 4.6 --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 4f7fad2..8064425 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -21,7 +21,7 @@ jobs: python -m pip install --upgrade pip pip install ".[dev]" - name: Run Ruff - run: ruff check . + run: ruff check src/ scripts/ docker-build: runs-on: ubuntu-latest From 8afa616ff9ed3ba3ef1d93424897d60986d6a701 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Thu, 12 Mar 2026 08:58:20 +0530 Subject: [PATCH 22/62] docs: add hero and architecture images, update README header MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Add diptych hero image comparing traditional single-LLM review vs PR-AF's dynamic plan→review→challenge pipeline - Add vertical funnel architecture diagram showing 7-phase adaptive pipeline with noise reduction metrics - Update README header to "Open-Source Agentic PR Reviewer" - Wrap mermaid diagram in collapsible details block - Add architecture image inline with link to full docs --- README.md | 31 ++++++++++++++++++++++--------- assets/architecture.png | Bin 0 -> 5481485 bytes assets/hero.png | Bin 0 -> 5093275 bytes 3 files changed, 22 insertions(+), 9 deletions(-) create mode 100644 assets/architecture.png create mode 100644 assets/hero.png diff --git a/README.md b/README.md index b8ea93f..fb89e0d 100644 --- a/README.md +++ b/README.md @@ -2,34 +2,45 @@ # PR-AF -### Deep Architectural Pull Request Reviewer Built on [AgentField](https://github.com/Agent-Field/agentfield) +### Open-Source Agentic PR Reviewer Built on [AgentField](https://github.com/Agent-Field/agentfield) [![Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-16a34a?style=for-the-badge)](LICENSE) [![Python](https://img.shields.io/badge/python-3.11%2B-3776AB?style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/downloads/) [![Built with AgentField](https://img.shields.io/badge/Built%20with-AgentField-0A66C2?style=for-the-badge)](https://github.com/Agent-Field/agentfield) +[![More from Agent-Field](https://img.shields.io/badge/More_from-Agent--Field-111827?style=for-the-badge&logo=github)](https://github.com/Agent-Field)

+ Output • How It Works • - Architecture • Comparison • - Quick Start + Quick Start • + Architecture

-Most AI code reviewers are incredibly fast and great at spotting surface-level syntax errors or missing parameters. However, when evaluating large, complex Pull Requests, static AI tools hit a ceiling: they generate false positives by guessing how functions interact outside the diff, and they miss systemic vulnerabilities that span across multiple files. +Other tools run a single LLM pass over the diff with a fixed checklist. PR-AF **builds a custom review strategy for every PR**: it examines the change, reasons about what could go wrong, spawns parallel reviewer agents with runtime-crafted prompts, challenges its own findings adversarially, and posts specific inline comments. Free, open source, one API call. A deep review of a 500-line PR costs about **$0.80 in LLM calls**. -**PR-AF** (Pull Request Agent Field) is a specialized pipeline designed to act as a **deep architectural auditor**. Instead of relying on a single language model prompt, PR-AF orchestrates a massively parallel, dynamically self-adapting cognitive architecture that extracts hard evidence from your repository, filters out noise, and synthesizes compound attack chains. - -*Zero false positives. Deep architectural insights. Open-source and BYOK (Bring Your Own Keys).* +

+ PR-AF — open-source agentic PR review +

--- ## Dynamic Pipeline Architecture -PR-AF does not execute a static script. It structurally morphs its own execution graph based on the topology of the incoming Pull Request. +PR-AF does not execute a static script. It structurally morphs its own execution graph based on the topology of the incoming Pull Request. -When a PR arrives, the system dynamically compiles **Meta-Dimensions**—evaluating the diff through semantic (logic), mechanical (types), and systemic (architecture) lenses. It uses these dimensions to spawn specialized, ephemeral sub-routines tailored exclusively to the exact context of the current PR. +When a PR arrives, the system dynamically compiles review dimensions — evaluating the diff through semantic, mechanical, and systemic lenses. It uses these dimensions to spawn specialized, ephemeral reviewer agents tailored exclusively to the exact context of the current PR. + +

+ PR-AF 7-Phase Adaptive Pipeline +

+ +> Full architecture deep-dive: [`docs/ARCHITECTURE.md`](docs/ARCHITECTURE.md) + +
+Pipeline flow (Mermaid) ```mermaid graph TD @@ -74,6 +85,8 @@ graph TD L -->|Full coverage achieved| O[Synthesized GitHub Annotations]:::output ``` +
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