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python-sdk: fix ruff lint issues in client and verify modules #36

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python-sdk: fix ruff lint issues in client and verify modules #36

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2 changes: 1 addition & 1 deletion python-sdk/commandlayer/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,8 +19,8 @@
)
from .verify import (
canonicalize_stable_json_v1,
parse_ed25519_pubkey,
extract_receipt_verb,
parse_ed25519_pubkey,
recompute_receipt_hash_sha256,
resolve_signer_key,
sha256_hex_utf8,
Expand Down
168 changes: 146 additions & 22 deletions python-sdk/commandlayer/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
import httpx

from .errors import CommandLayerError
from .types import CommandResponse, RuntimeMetadata, VerifyOptions
from .types import CanonicalReceipt, CommandResponse, RuntimeMetadata, VerifyOptions
from .verify import verify_receipt

COMMONS_VERSION = "1.1.0"
Expand Down Expand Up @@ -42,7 +42,6 @@ def build_commons_request(
request_actor = str(body.get("actor") or actor or "sdk-user")
return {
"x402": {"verb": verb, "version": version},
"actor": request_actor,
**body,
"actor": request_actor,
}
Expand Down Expand Up @@ -75,10 +74,10 @@ def normalize_command_response(payload: Any) -> CommandResponse:
return response
receipt = dict(payload)
runtime_metadata = receipt.pop("trace", None)
response: CommandResponse = {"receipt": receipt}
normalized_response: CommandResponse = {"receipt": cast(CanonicalReceipt, receipt)}
if isinstance(runtime_metadata, dict):
response["runtime_metadata"] = cast(RuntimeMetadata, runtime_metadata)
return response
normalized_response["runtime_metadata"] = cast(RuntimeMetadata, runtime_metadata)
return normalized_response


class CommandLayerClient:
Expand Down Expand Up @@ -112,7 +111,10 @@ def __init__(
def _ensure_verify_config_if_enabled(self) -> None:
if not self.verify_receipts:
return
explicit_public_key = self.verify_defaults.get("public_key") or self.verify_defaults.get("publicKey")
explicit_public_key = (
self.verify_defaults.get("public_key")
or self.verify_defaults.get("publicKey")
)
has_explicit = bool(str(explicit_public_key or "").strip())
ens = self.verify_defaults.get("ens") or {}
has_ens = bool(ens.get("name") and (ens.get("rpcUrl") or ens.get("rpc_url")))
Expand All @@ -123,31 +125,139 @@ def _ensure_verify_config_if_enabled(self) -> None:
400,
)

def summarize(self, *, content: str, style: str | None = None, format: str | None = None, max_tokens: int = 1000) -> CommandResponse:
return self.call("summarize", {"input": {"content": content, "summary_style": style, "format_hint": format}, "limits": {"max_output_tokens": max_tokens}})
def summarize(
self,
*,
content: str,
style: str | None = None,
format: str | None = None,
max_tokens: int = 1000,
) -> CommandResponse:
return self.call(
"summarize",
{
"input": {
"content": content,
"summary_style": style,
"format_hint": format,
},
"limits": {"max_output_tokens": max_tokens},
},
)

def analyze(self, *, content: str, goal: str | None = None, hints: list[str] | None = None, max_tokens: int = 1000) -> CommandResponse:
def analyze(
self,
*,
content: str,
goal: str | None = None,
hints: list[str] | None = None,
max_tokens: int = 1000,
) -> CommandResponse:
payload: dict[str, Any] = {"input": content, "limits": {"max_output_tokens": max_tokens}}
if goal:
payload["goal"] = goal
if hints:
payload["hints"] = hints
return self.call("analyze", payload)

def classify(self, *, content: str, max_labels: int = 5, max_tokens: int = 1000) -> CommandResponse:
return self.call("classify", {"input": {"content": content}, "limits": {"max_labels": max_labels, "max_output_tokens": max_tokens}})
def classify(
self,
*,
content: str,
max_labels: int = 5,
max_tokens: int = 1000,
) -> CommandResponse:
return self.call(
"classify",
{
"input": {"content": content},
"limits": {
"max_labels": max_labels,
"max_output_tokens": max_tokens,
},
},
)

def clean(self, *, content: str, operations: list[str] | None = None, max_tokens: int = 1000) -> CommandResponse:
return self.call("clean", {"input": {"content": content, "operations": operations or ["normalize_newlines", "collapse_whitespace", "trim"]}, "limits": {"max_output_tokens": max_tokens}})
def clean(
self,
*,
content: str,
operations: list[str] | None = None,
max_tokens: int = 1000,
) -> CommandResponse:
return self.call(
"clean",
{
"input": {
"content": content,
"operations": operations
or ["normalize_newlines", "collapse_whitespace", "trim"],
},
"limits": {"max_output_tokens": max_tokens},
},
)

def convert(self, *, content: str, from_format: str, to_format: str, max_tokens: int = 1000) -> CommandResponse:
return self.call("convert", {"input": {"content": content, "source_format": from_format, "target_format": to_format}, "limits": {"max_output_tokens": max_tokens}})
def convert(
self,
*,
content: str,
from_format: str,
to_format: str,
max_tokens: int = 1000,
) -> CommandResponse:
return self.call(
"convert",
{
"input": {
"content": content,
"source_format": from_format,
"target_format": to_format,
},
"limits": {"max_output_tokens": max_tokens},
},
)

def describe(self, *, subject: str, audience: str = "general", detail: str = "medium", max_tokens: int = 1000) -> CommandResponse:
return self.call("describe", {"input": {"subject": (subject or "")[:140], "audience": audience, "detail_level": detail}, "limits": {"max_output_tokens": max_tokens}})
def describe(
self,
*,
subject: str,
audience: str = "general",
detail: str = "medium",
max_tokens: int = 1000,
) -> CommandResponse:
return self.call(
"describe",
{
"input": {
"subject": (subject or "")[:140],
"audience": audience,
"detail_level": detail,
},
"limits": {"max_output_tokens": max_tokens},
},
)

def explain(self, *, subject: str, audience: str = "general", style: str = "step-by-step", detail: str = "medium", max_tokens: int = 1000) -> CommandResponse:
return self.call("explain", {"input": {"subject": (subject or "")[:140], "audience": audience, "style": style, "detail_level": detail}, "limits": {"max_output_tokens": max_tokens}})
def explain(
self,
*,
subject: str,
audience: str = "general",
style: str = "step-by-step",
detail: str = "medium",
max_tokens: int = 1000,
) -> CommandResponse:
return self.call(
"explain",
{
"input": {
"subject": (subject or "")[:140],
"audience": audience,
"style": style,
"detail_level": detail,
},
"limits": {"max_output_tokens": max_tokens},
},
)

def format(self, *, content: str, to: str, max_tokens: int = 1000) -> CommandResponse:
return self.call(
Expand Down Expand Up @@ -180,7 +290,14 @@ def parse(
payload["input"]["schema"] = schema or target_schema
return self.call("parse", payload)

def fetch(self, *, source: str, query: str | None = None, include_metadata: bool | None = None, max_tokens: int = 1000) -> CommandResponse:
def fetch(
self,
*,
source: str,
query: str | None = None,
include_metadata: bool | None = None,
max_tokens: int = 1000,
) -> CommandResponse:
input_obj: dict[str, Any] = {"source": source}
if query is not None:
input_obj["query"] = query
Expand Down Expand Up @@ -225,15 +342,22 @@ def call(self, verb: str, body: dict[str, Any]) -> CommandResponse:
if not response.is_success:
message = (
(data.get("message") if isinstance(data, dict) else None)
or ((data.get("error") or {}).get("message") if isinstance(data, dict) and isinstance(data.get("error"), dict) else None)
or (
(data.get("error") or {}).get("message")
if isinstance(data, dict) and isinstance(data.get("error"), dict)
else None
)
or f"HTTP {response.status_code}"
)
raise CommandLayerError(str(message), response.status_code, data)
normalized = normalize_command_response(data)
if self.verify_receipts:
verify_result = verify_receipt(
normalized["receipt"],
public_key=self.verify_defaults.get("public_key") or self.verify_defaults.get("publicKey"),
public_key=(
self.verify_defaults.get("public_key")
or self.verify_defaults.get("publicKey")
),
ens=self.verify_defaults.get("ens"),
)
if not verify_result["ok"]:
Expand Down
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