Files
md-vector-db/tests/test_search.py
T
Serendipity 7309b0a437 feat: add semantic search module
实现语义检索模块 Searcher 类,支持:
- search(): 向量语义检索,返回格式化结果(含 content、source_file、section_title、heading_level、chunk_index、score 字段)
- get_collection_info(): 获取 collection 统计信息
- list_sources(): 列出已入库源文件
- delete_by_source(): 按源文件删除文档

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-05 01:46:44 +08:00

77 lines
2.3 KiB
Python

"""检索模块测试."""
import tempfile
import pytest
from src.core.config import EmbedConfig
from src.core.db import VectorDB
from src.core.embedder import create_embedder
from src.core.ingest import DocumentIngestor
from src.core.search import Searcher
@pytest.fixture
def searcher():
"""创建带测试数据的 Searcher."""
tmpdir = tempfile.mkdtemp()
db = VectorDB(persist_dir=tmpdir)
embedder = create_embedder(EmbedConfig(mode="local"))
ingestor = DocumentIngestor(db, embedder, "test_search")
# 入库一些测试文档
content = """# Python 入门
Python 是一种解释型编程语言。
## 安装 Python
从 python.org 下载安装包。
# 向量数据库
ChromaDB 是一个轻量级向量数据库。
## ChromaDB 安装
使用 pip install chromadb 安装。"""
ingestor.ingest_content(content, "guide.md")
return Searcher(db, embedder, "test_search")
class TestSearcher:
"""检索器测试."""
def test_search_returns_results(self, searcher):
"""搜索返回至少一条结果."""
results = searcher.search("Python 编程", top_k=3)
assert len(results) > 0
for r in results:
assert r["content"]
assert r["source_file"]
assert "score" in r
def test_search_scores_are_descending(self, searcher):
"""搜索结果按相似度降序排列."""
results = searcher.search("向量数据库", top_k=5)
scores = [r["score"] for r in results]
assert scores == sorted(scores, reverse=True)
def test_search_respects_top_k(self, searcher):
"""top_k 参数限制返回数量."""
results = searcher.search("安装", top_k=2)
assert len(results) <= 2
def test_search_returns_all_fields(self, searcher):
"""搜索结果包含完整字段."""
results = searcher.search("ChromaDB", top_k=1)
if results:
r = results[0]
assert "content" in r
assert "source_file" in r
assert "section_title" in r
assert "heading_level" in r
assert "chunk_index" in r
assert "score" in r
def test_search_no_results(self, searcher):
"""无语义匹配时不崩溃."""
results = searcher.search("xyzxyz不存在的内容abcabc", top_k=3)
assert isinstance(results, list)