chore(lint): auto-fix 253 of 283 ruff issues (F401, I001, E402, RUF100, UP037, SIM105)
Some checks failed
CI / lint (push) Failing after 2s
CI / typecheck (push) Failing after 2s
CI / test (push) Failing after 2s
CI / Secret scan (gitleaks) (push) Failing after 1s
CI / Security audit (bandit) (push) Failing after 2s

Mass ruff auto-fix:
  - ruff check --fix: 109 issues fixed (F401 unused imports,
    I001 unsorted imports, UP037 quoted annotations, SIM105
    suppressible exception, RUF100 unused-noqa)
  - ruff check --fix --unsafe-fixes: 22 additional issues
  - ruff format: 70 files reformatted
  - Manual pass: fix 16 misplaced import httpx lines
  - Manual pass: fix remaining E402 (import-after-docstring)

Result: 283 errors -> 30 errors.

The remaining 30 are real issues that need manual review:
  5 F401 unused-import (likely auto-generated stubs)
  5 F821 undefined-name (real bugs in code that references
    redis/pydantic/LLMRegistry without imports)
  3 BLE001 (the compliance LLM fallback is intentional; the
    other two are real)
  3 RUF012 mutable-class-default
  3 SIM105, 3 SIM117, 2 E722, 2 E741
  1 B007, 1 B025, 1 E402, 1 RUF200 (pyproject.toml issue)

Tests: 436/437 pass (1 pre-existing SSE sandbox failure).
format check + import sort: now clean.
make ci: still gated on the 30 remaining real issues.
Follow-up: triage the 30 issues file-by-file.
This commit is contained in:
Crypto Rug Munch 2026-07-02 21:51:25 +02:00
parent e60a62a07a
commit a7c30b12cd
85 changed files with 2374 additions and 1071 deletions

View file

@ -30,15 +30,21 @@ def test_llm_registry_register() -> None:
class FakeProvider(LLMProvider):
name = "fake"
async def complete(self, *args, **kwargs): return LLMResponse(text="ok", model="fake", provider="fake")
async def embed(self, *args, **kwargs): return [0.1, 0.2]
async def complete(self, *args, **kwargs):
return LLMResponse(text="ok", model="fake", provider="fake")
async def embed(self, *args, **kwargs):
return [0.1, 0.2]
r.register(FakeProvider())
assert "fake" in r.providers
def test_llm_response_dataclass() -> None:
r = LLMResponse(text="hello", model="m", provider="p", input_tokens=10, output_tokens=5, cost_usd=0.001)
r = LLMResponse(
text="hello", model="m", provider="p", input_tokens=10, output_tokens=5, cost_usd=0.001
)
assert r.text == "hello"
assert r.cost_usd == 0.001
@ -47,8 +53,13 @@ def test_provider_cost_estimation() -> None:
class TestProvider(LLMProvider):
cost_per_1k_input = 0.001
cost_per_1k_output = 0.002
async def complete(self, *args, **kwargs): return LLMResponse(text="", model="t", provider="t")
async def embed(self, *args, **kwargs): return []
async def complete(self, *args, **kwargs):
return LLMResponse(text="", model="t", provider="t")
async def embed(self, *args, **kwargs):
return []
p = TestProvider()
cost = p.estimate_cost(1000, 500)
assert abs(cost - 0.002) < 0.0001 # 0.001 + 0.001
@ -58,5 +69,6 @@ def test_referral_link_format() -> None:
rc = ReferralConfig()
for provider, link in rc.referral_links.items():
# FlareSolverr is open-source, no affiliate
if provider == "flaresolverr": continue
if provider == "flaresolverr":
continue
assert "pry" in link, f"Link for {provider} missing referral: {link}"