⚡ Bolt: [성능 개선] String.format 기반 16진수 변환을 HexFormat으로 대체#66
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Pull request overview
OpenCode exhausted the configured model pool without a usable current-head review conclusion. This is not approval evidence, so the PR is blocked until a source-backed review can establish approval sufficiency or identify concrete fixes.
Findings
1. HIGH .jules/bolt.md:1 - OpenCode could not establish approval sufficiency
- Problem: every configured model path failed to produce a usable current-head control block.
- Root cause: model execution, timeout, export, normalization, or approval-gate validation did not complete after exponential retry across the configured model pool.
- Impact: approving from deterministic check state alone would miss PR-intent mismatches, missing files, edge-case bugs, robustness gaps, UX/DX regressions, security issues, and CodeGraph-backed base/head flow changes.
- Fix: rerun OpenCode after model availability recovers, or update the PR with the missing files, tests, docs, generated artifacts, and verification evidence needed for a source-backed review conclusion.
- Regression test: keep the approval gate posting REQUEST_CHANGES, not APPROVE or check-only failure, when no model produces a valid current-head review.
Summary
- Result: REQUEST_CHANGES
- Reason: coverage-evidence passed and peer GitHub Checks completed without failures, but no model produced a valid review control block.
- Deterministic evidence checked but not used for approval: current-head changed-file evidence (.jules/bolt.md, src/main/java/com/clearfolio/viewer/service/DefaultDocumentConversionService.java); coverage-evidence result success; peer checks from statusCheckRollup excluding this OpenCode check.
- Model outcome: model_pool=exhausted; selected_model=none.
- Head SHA:
d39ff37299e8abf521795454cb6e9f815f725c87 - Workflow run: 28476553593
- Workflow attempt: 1
No PR approval was posted because model-output failure is not evidence that the PR has no blockers.
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (2 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (2 files)"]
R1 --> V1["required checks"]
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| ## 2024-06-30 - Hex Format Optimization | |||
There was a problem hiding this comment.
HIGH OpenCode could not establish approval sufficiency
- Problem: the model pool exhausted without a valid current-head review control block, so this changed line cannot be approved from deterministic check state alone.
- Impact: PR-intent mismatches, missing files, robustness bugs, UX/DX regressions, and CodeGraph-backed flow changes could be missed.
- Fix: rerun OpenCode after model availability recovers, or add the missing source/test/docs/generated verification evidence needed for a source-backed approval.
- Verification: rerun the OpenCode Review workflow and confirm it emits APPROVE or source-backed REQUEST_CHANGES for this head SHA.
OpenCode Review Overview
Pull request overviewOpenCode exhausted the configured model pool without a usable current-head review conclusion. This is not approval evidence, so the PR is blocked until a source-backed review can establish approval sufficiency or identify concrete fixes. Findings1. HIGH .jules/bolt.md:1 - OpenCode could not establish approval sufficiency
Summary
No PR approval was posted because model-output failure is not evidence that the PR has no blockers. Changed-File Evidence Mapflowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (2 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (2 files)"]
R1 --> V1["required checks"]
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중복 정리: 이 PR은 'HexFormat hex 변환 최적화' 클러스터의 중복입니다. 정본으로 #80 (APPROVED + CI green + MERGEABLE)을 유지합니다. 동일 파일을 수정해 동시 병합이 불가능하므로 정리합니다. 고유하게 필요한 변경이 있으면 #80에 반영하거나 재오픈하세요. |
알겠습니다. 이 PR이 중복으로 인해 닫힌 것을 확인하였으며, 본 작업에 대한 진행을 중단하겠습니다. |
1 participant
💡 What:
DefaultDocumentConversionService의 16진수 변환 로직에서String.format루프를 제거하고 Java 17의HexFormat.of().formatHex(raw)를 사용하도록 수정했습니다.🎯 Why: 루프 내에서
String.format을 지속적으로 호출하면 메모리에 불필요한 String과 가변인자 객체들이 대량으로 할당되어 CPU 및 메모리 성능에 심각한 병목이 생깁니다.📊 Impact: 객체 생성과 가비지 컬렉션(GC) 비용을 획기적으로 낮추어 업로드 해싱 작업의 CPU 사용량과 메모리 할당량을 크게 줄입니다.
🔬 Measurement:
mvn test를 통해 기존 해싱 기능이 정상 동작함을 검증하였고,DefaultDocumentConversionServiceTest등에서 문제없음을 확인했습니다.PR created automatically by Jules for task 11561687063031478856 started by @seonghobae