#!/usr/bin/env python3
"""
简单测试脚本：测试文档里真正有的内容
"""

import asyncio
import os
import sys

from qdrant_client import models
from backend.rag_core import QdrantVectorStore, get_sparse_embedder
from backend.app.model_services import get_embedding_service


def test_dense_retrieval():
    """测试稠密检索"""
    print("="*70)
    print("测试稠密检索...")
    print("="*70)
    
    embeddings = get_embedding_service()
    vs = QdrantVectorStore(collection_name="rag_documents", embeddings=embeddings)
    
    query = "黄双银"  # 用文档里真正有的名字查询
    print(f"\n查询: {query}")
    
    results = vs.similarity_search(query, k=3)
    
    print(f"\n找到 {len(results)} 个结果\n")
    for i, doc in enumerate(results):
        print(f"--- 结果 {i+1} ---")
        print(doc.page_content[:200])
        print()


if __name__ == "__main__":
    test_dense_retrieval()