138 lines
4.0 KiB
Python
138 lines
4.0 KiB
Python
# tests/test_milvus.py
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"""Milvus集成测试"""
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import pytest
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from loguru import logger
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import sys
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import os
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PROJECT_ROOT = os.path.dirname(os.path.dirname(__file__))
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sys.path.insert(0, os.path.join(PROJECT_ROOT, "backend"))
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from app.services.storage.milvus_client import MilvusClient, SearchResult
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from app.services.embedding.bge_m3_embedder import BGEM3Embedder
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from app.config.settings import settings
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class TestMilvusConnection:
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"""Milvus连接测试"""
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def test_connection(self):
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"""测试Milvus连接"""
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client = MilvusClient()
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result = client.connect()
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assert result == True
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client.disconnect()
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def test_create_collection(self):
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"""测试创建Collection"""
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client = MilvusClient()
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client.connect()
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result = client.create_collection(recreate=True)
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assert result == True
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# 检查Collection是否存在
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stats = client.get_collection_stats()
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assert stats["name"] == settings.milvus_collection
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client.disconnect()
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class TestMilvusOperations:
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"""Milvus操作测试"""
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@pytest.fixture
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def client(self):
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"""创建测试客户端"""
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client = MilvusClient()
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client.connect()
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client.create_collection(recreate=True)
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client.load_collection()
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yield client
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client.disconnect()
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def test_insert_and_search(self, client):
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"""测试插入和检索"""
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from app.services.embedding.text_chunker import TextChunk, ChunkMetadata
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# 创建测试数据
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chunks = [
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TextChunk(
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content="第一条 为保障机动车安全技术性能，预防和减少机动车交通事故，保护人身安全，制定本标准。",
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metadata=ChunkMetadata(
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doc_id="test_doc",
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doc_name="测试文档",
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chunk_id="test_chunk_1",
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clause_number="第一条",
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regulation_type="车辆安全"
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)
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),
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TextChunk(
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content="第二条 本标准适用于在我国道路上行驶的所有机动车。",
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metadata=ChunkMetadata(
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doc_id="test_doc",
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doc_name="测试文档",
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chunk_id="test_chunk_2",
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clause_number="第二条",
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regulation_type="车辆安全"
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)
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)
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]
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# 生成嵌入
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embedder = BGEM3Embedder()
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embeddings = embedder.embed([c.content for c in chunks])
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# 插入数据
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inserted_ids = client.insert_chunks(chunks, embeddings)
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assert len(inserted_ids) == 2
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# 执行检索
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query = "机动车安全标准"
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query_embedding = embedder.embed_single(query)
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results = client.hybrid_search(
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query_dense=query_embedding['dense'].tolist(),
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query_sparse=query_embedding['sparse'],
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top_k=2
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)
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assert len(results) > 0
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assert "机动车" in results[0].content or "安全" in results[0].content
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class TestEmbedding:
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"""嵌入模型测试"""
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def test_embed_single_text(self):
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"""测试单文本嵌入"""
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embedder = BGEM3Embedder()
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result = embedder.embed_single("这是一条测试文本")
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assert 'dense' in result
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assert 'sparse' in result
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assert len(result['dense']) == 1024 # BGE-M3默认维度
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def test_embed_batch(self):
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"""测试批量嵌入"""
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embedder = BGEM3Embedder()
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texts = [
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"第一条 本标准规定了机动车安全要求",
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"第二条 机动车应符合以下技术条件",
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"第三条 生产企业应建立质量管理体系"
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]
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result = embedder.embed(texts)
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assert len(result.dense_embeddings) == 3
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assert result.dense_embeddings.shape[1] == 1024
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if __name__ == "__main__":
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pytest.main([__file__, "-v"])
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