94 lines
3.1 KiB
Python
94 lines
3.1 KiB
Python
import pytest
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from yuxi.agents.models import load_chat_model
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from yuxi.models.chat import select_model
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from yuxi.models.embed import OtherEmbedding, select_embedding_model
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from yuxi.models.rerank import OpenAIReranker, get_reranker
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from yuxi.services.model_cache import ModelInfo
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def _model_info(model_type: str) -> ModelInfo:
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return ModelInfo(
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provider_id="test-provider",
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model_id=f"namespace/{model_type}-model",
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model_type=model_type,
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display_name=f"Test {model_type}",
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api_key="test-key",
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base_url="https://example.com/v1",
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provider_type="openai",
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dimension=1024 if model_type == "embedding" else None,
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)
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@pytest.mark.parametrize(
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"selector,args",
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[
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(select_model, {"model_spec": "unknown-provider:namespace/model"}),
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(load_chat_model, {"fully_specified_name": "unknown-provider:namespace/model"}),
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(select_embedding_model, {"model_id": "unknown-provider:namespace/model"}),
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(get_reranker, {"model_id": "unknown-provider:namespace/model"}),
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],
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)
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def test_selectors_report_unknown_unconfigured_specs(selector, args):
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with pytest.raises(ValueError, match="Unknown|未找到模型"):
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selector(**args)
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def test_select_embedding_model_loads_model_from_cache(monkeypatch):
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monkeypatch.setattr(
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"yuxi.models.embed.model_cache.get_model_info",
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lambda spec: _model_info("embedding") if spec == "test-provider:namespace/embedding-model" else None,
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)
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model = select_embedding_model("test-provider:namespace/embedding-model")
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assert isinstance(model, OtherEmbedding)
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assert model.model == "namespace/embedding-model"
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assert model.dimension == 1024
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@pytest.mark.asyncio
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async def test_embedding_connection_checks_configured_dimension(monkeypatch):
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model = OtherEmbedding(
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model="namespace/embedding-model",
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base_url="https://example.com/v1/embeddings",
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api_key="test-key",
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dimension=3,
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)
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async def fake_aencode(_messages):
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return [[0.1, 0.2, 0.3]]
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monkeypatch.setattr(model, "aencode", fake_aencode)
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assert await model.test_connection() == (True, "连接正常")
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@pytest.mark.asyncio
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async def test_embedding_connection_reports_dimension_mismatch(monkeypatch):
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model = OtherEmbedding(
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model="namespace/embedding-model",
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base_url="https://example.com/v1/embeddings",
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api_key="test-key",
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dimension=4,
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)
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async def fake_aencode(_messages):
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return [[0.1, 0.2, 0.3]]
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monkeypatch.setattr(model, "aencode", fake_aencode)
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assert await model.test_connection() == (False, "Embedding 维度不一致：配置 4，实际 3")
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def test_get_reranker_loads_model_from_cache(monkeypatch):
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monkeypatch.setattr(
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"yuxi.models.rerank.model_cache.get_model_info",
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lambda spec: _model_info("rerank") if spec == "test-provider:namespace/rerank-model" else None,
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)
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reranker = get_reranker("test-provider:namespace/rerank-model")
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assert isinstance(reranker, OpenAIReranker)
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assert reranker.model == "namespace/rerank-model"
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