Files
ComfyUI-Lora-Manager/tests/services/test_model_metadata_provider.py
Will Miao d2f955266d fix(types): resolve pre-existing basedpyright errors in tests
Fix ~790 basedpyright errors across the test suite:
- Type stub subclasses of real production classes with super().__init__()
- Add missing generic type arguments and Dict[str, Any] annotations
- Add None guards before subscript/member access
- Adapt tests to production API changes (removed dead handlers,
  PersistentModelCache.get_default, _i18n_filter_added location)
2026-08-08 20:12:59 +08:00

195 lines
6.1 KiB
Python

from unittest.mock import AsyncMock
import pytest
from py.services import model_metadata_provider as provider_module
from py.services.errors import RateLimitError
from py.services.model_metadata_provider import (
FallbackMetadataProvider,
ModelMetadataProvider,
RateLimitRetryingProvider,
)
class RateLimitThenSuccessProvider(ModelMetadataProvider):
def __init__(self) -> None:
self.calls = 0
async def get_model_by_hash(self, model_hash: str):
self.calls += 1
if self.calls == 1:
raise RateLimitError("limited", retry_after=1.0)
return {"id": "ok"}, None
async def get_model_versions(self, model_id: str):
return None
async def get_model_version(self, model_id=None, version_id=None):
return None
async def get_model_version_info(self, version_id: str):
return None, None
async def get_user_models(self, username: str, cursor=None):
return None
class AlwaysRateLimitedProvider(ModelMetadataProvider):
def __init__(self) -> None:
self.calls = 0
async def get_model_by_hash(self, model_hash: str):
self.calls += 1
raise RateLimitError("limited")
async def get_model_versions(self, model_id: str):
return None
async def get_model_version(self, model_id=None, version_id=None):
return None
async def get_model_version_info(self, version_id: str):
return None, None
async def get_user_models(self, username: str, cursor=None):
return None
class TrackingProvider(ModelMetadataProvider):
def __init__(self) -> None:
self.calls = 0
async def get_model_by_hash(self, model_hash: str):
self.calls += 1
return {"id": "secondary"}, None
async def get_model_versions(self, model_id: str):
return None
async def get_model_version(self, model_id=None, version_id=None):
return None
async def get_model_version_info(self, version_id: str):
return None, None
async def get_user_models(self, username: str, cursor=None):
return None
@pytest.mark.asyncio
async def test_fallback_retries_same_provider_on_rate_limit(monkeypatch):
sleep_mock = AsyncMock()
monkeypatch.setattr(provider_module.asyncio, "sleep", sleep_mock)
monkeypatch.setattr(provider_module.random, "uniform", lambda *_: 0.0)
primary = RateLimitThenSuccessProvider()
secondary = TrackingProvider()
fallback = FallbackMetadataProvider(
[("primary", primary), ("secondary", secondary)],
)
result, error = await fallback.get_model_by_hash("abc")
assert error is None
assert result == {"id": "ok"}
assert primary.calls == 2
assert secondary.calls == 0
sleep_mock.assert_awaited_once()
assert sleep_mock.await_args_list[0].args[0] == pytest.approx(1.0, rel=0.0, abs=1e-6)
@pytest.mark.asyncio
async def test_fallback_continues_to_next_provider_on_rate_limit(monkeypatch):
"""After exhausting retries on primary, fallback should continue to secondary."""
sleep_mock = AsyncMock()
monkeypatch.setattr(provider_module.asyncio, "sleep", sleep_mock)
monkeypatch.setattr(provider_module.random, "uniform", lambda *_: 0.0)
primary = AlwaysRateLimitedProvider()
secondary = TrackingProvider()
fallback = FallbackMetadataProvider(
[("primary", primary), ("secondary", secondary)],
rate_limit_retry_limit=2,
)
# After Change A: no longer raises; falls through to secondary
result, error = await fallback.get_model_by_hash("abc")
assert error is None
assert result == {"id": "secondary"}
assert primary.calls == 2 # retry_limit exhausted on primary
assert secondary.calls == 1 # secondary IS called now
@pytest.mark.asyncio
async def test_rate_limit_retrying_provider_retries(monkeypatch):
sleep_mock = AsyncMock()
monkeypatch.setattr(provider_module.asyncio, "sleep", sleep_mock)
monkeypatch.setattr(provider_module.random, "uniform", lambda *_: 0.0)
inner = RateLimitThenSuccessProvider()
wrapper = RateLimitRetryingProvider(inner, label="inner", rate_limit_base_delay=0.1)
result, error = await wrapper.get_model_by_hash("abc")
assert error is None
assert result == {"id": "ok"}
assert inner.calls == 2
sleep_mock.assert_awaited_once()
@pytest.mark.asyncio
async def test_rate_limit_retrying_provider_respects_limit(monkeypatch):
sleep_mock = AsyncMock()
monkeypatch.setattr(provider_module.asyncio, "sleep", sleep_mock)
monkeypatch.setattr(provider_module.random, "uniform", lambda *_: 0.0)
inner = AlwaysRateLimitedProvider()
wrapper = RateLimitRetryingProvider(inner, label="inner", rate_limit_retry_limit=2)
with pytest.raises(RateLimitError) as exc_info:
await wrapper.get_model_by_hash("abc")
assert exc_info.value.provider == "inner"
assert inner.calls == 2
sleep_mock.assert_awaited_once()
@pytest.mark.asyncio
async def test_retry_helper_limits_retries_for_large_retry_after():
"""With retry_after >= 120s, _RateLimitRetryHelper should only attempt once (no retries)."""
calls = 0
async def failing():
nonlocal calls
calls += 1
raise RateLimitError("limited", retry_after=1500.0)
helper = provider_module._RateLimitRetryHelper(retry_limit=3)
with pytest.raises(RateLimitError):
await helper.run("test", failing)
assert calls == 1 # No retries for large retry_after
@pytest.mark.asyncio
async def test_retry_helper_retries_normally_for_small_retry_after(monkeypatch):
"""With retry_after < 120s, _RateLimitRetryHelper should retry normally (up to limit)."""
sleep_mock = AsyncMock()
monkeypatch.setattr(provider_module.asyncio, "sleep", sleep_mock)
calls = 0
async def succeeding():
nonlocal calls
calls += 1
if calls == 1:
raise RateLimitError("limited", retry_after=30.0)
return {"ok": True}, None
helper = provider_module._RateLimitRetryHelper(retry_limit=3)
result, _ = await helper.run("test", succeeding)
assert result == {"ok": True}
assert calls == 2 # Retried once (small retry_after)