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qwenpaw/tests/unit/providers/test_modelscope_provider.py
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源码快照 @ 2026-09-01 (source-only, 剔除非源码素材)
2026-09-01 20:01:50 +08:00

43 lines
1.5 KiB
Python

# -*- coding: utf-8 -*-
"""Tests for ModelScope model catalog filtering."""
# pylint: disable=protected-access
from qwenpaw.providers.modelscope_provider import ModelScopeProvider
from qwenpaw.providers.provider import ModelInfo
def test_modelscope_filters_non_chat_catalog_entries() -> None:
assert ModelScopeProvider._is_non_chat_model("Qwen/Qwen-Image-Edit")
assert ModelScopeProvider._is_non_chat_model("Paddle/ERNIE-4.5-21B-PT")
assert ModelScopeProvider._is_non_chat_model("OpenCompass/CompassJudger")
assert ModelScopeProvider._is_non_chat_model(
"XGenerationLab/XiYanSQL-Qwen",
)
assert not ModelScopeProvider._is_non_chat_model("Qwen/Qwen3-VL-235B")
assert not ModelScopeProvider._is_non_chat_model("Shanghai/Intern-S1")
async def test_modelscope_fetch_models_filters_catalog(monkeypatch) -> None:
provider = ModelScopeProvider(
id="modelscope",
name="ModelScope",
base_url="https://api-inference.modelscope.cn/v1",
api_key="ms-test",
)
async def fetch_models(_self, timeout=5):
_ = timeout
return [
ModelInfo(id="Qwen/Qwen3-VL-235B", name="VL"),
ModelInfo(id="Qwen/Qwen-Image-Edit", name="Image"),
ModelInfo(id="Paddle/ERNIE-4.5-21B-PT", name="PT"),
]
monkeypatch.setattr(
"qwenpaw.providers.openai_provider.OpenAIProvider.fetch_models",
fetch_models,
)
models = await provider.fetch_models()
assert [model.id for model in models] == ["Qwen/Qwen3-VL-235B"]