import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))

from src.rag.loader import DocLoader
from src.rag.retriever import Retriever
from src.rag.store import QdrantVecStore
from src.rag.embeddings import embedding_client


def test_connect():
    store = QdrantVecStore()
    stats = store.get_stats()
    
    print(f"   Qdrant连接成功")
    print(f"   集合: {stats['collection_name']}")
    print(f"   文档数: {stats['total_documents']}")
    print(f"   向量维度: {stats['vector_size']}")
    
    assert stats['collection_name'] is not None
    assert stats['total_documents'] >= 0
    return True


def test_embed():
    texts = ["测试文本1", "测试文本2"]
    vectors = embedding_client.embed(texts)
    
    print(f"   txt1,txt2 embed成功")
    print(f"   输入文本数: {len(texts)}")
    print(f"   输出向量数: {len(vectors)}")
    print(f"   向量维度: {len(vectors[0])}")
    
    assert len(vectors) == len(texts)
    assert len(vectors[0]) == 1536
    return True


def test_doc_load():

    loader = DocLoader(chunk_size=200, chunk_overlap=50)
    
    test_text = """
    案件编号: CASE_001
    案件名称: 测试案件 - 借款合同纠纷
    
    原告: 张三
    被告: 李四
    
    案情简介:
    原告张三于2023年1月向被告李四出借人民币50万元，约定年利率10%，
    借款期限为1年。到期后被告未按约定归还本金及利息。
    
    原告诉讼请求:
    1. 判令被告归还借款本金50万元
    2. 支付利息5万元
    3. 承担本案诉讼费用
    
    被告答辩:
    该笔款项为合伙投资款，非借款。原告提供的借条系伪造。
    """
    
    ids = loader.loader_text(
        text=test_text,
        case_id="CASE_001",
        source="test_complaint.txt"
    )
    
    print(f"   doc入库成功")
    print(f"   案件ID: CASE_001")
    print(f"   文档片段数: {len(ids)}")
    print(f"   片段ID示例: {ids[0][:8]}...")
    
    assert len(ids) > 0
    return True


def test_doc_search():

    retriever = Retriever()
 
    queries = [
        "原告是谁？",
        "借款金额是多少？",
        "被告的答辩意见是什么？"
    ]
    
    for query in queries:
        results = retriever.retrieve(
            query=query,
            case_id="CASE_001",
            top_k=2
        )
        
        print(f"\n   查询: {query}")
        print(f"   结果数: {len(results)}")
        
        if results:
            print(f"   最高相似度: {results[0]['score']:.3f}")
            print(f"   片段预览: {results[0]['text'][:50]}...")
        
        assert len(results) > 0
        assert results[0]['score'] > 0
    
    print(f"\n 检索成功")
    return True


def test_text_format():
    retriever = Retriever()
    
    results = retriever.retrieve(
        query="案件的原被告信息",
        case_id="CASE_001",
        top_k=3
    )
    
    formatted = retriever.format_context(results)
    
    print(f"   格式化成功")
    print(f"   原始结果数: {len(results)}")
    print(f"   格式化长度: {len(formatted)} 字符")
    print(f"\n   格式化预览:")
    print(f"   {formatted[:200]}...")
    
    assert "<documents>" in formatted
    assert "</documents>" in formatted
    assert len(formatted) > 0
    return True


def test_cleanup():
    store = QdrantVecStore()
    count = store.delete_by_case("CASE_001")
    
    print(f" 清理完成")
    if count is not None:
        print(f"   删除文档数: {count}")
        assert count >= 0 
    else:
        print(f"   删除操作已执行（未返回计数）")

    stats = store.get_stats()
    print(f"   剩余文档数: {stats['total_documents']}")
    
    return True


def run_all_tests():
    print("\n" + "="*60)
    print("RAG测试")
    print("="*60)
    
    tests = [
        ("Qdrant 连接", test_connect),
        ("嵌入客户端", test_embed),
        ("文档入库", test_doc_load),
        ("文档检索", test_doc_search),
        ("上下文清除", test_text_format),
        ("清理数据", test_cleanup)
    ]
    
    passed = 0
    failed = 0
    
    for name, test_func in tests:
        if test_func():
            passed += 1
        else:
            print(f"\n 测试失败: {name}")
            failed += 1
    
    print("\n" + "="*60)
    print(f"结果: {passed} 通过, {failed} 失败")
    print("="*60)
    
    return failed == 0


if __name__ == "__main__":
    success = run_all_tests()
    sys.exit(0 if success else 1)