import os
import sys
# 添加项目根目录到Python路径
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from utils.infinity import InfinityClient
# import infinity

output_columns = [
                    "file_name",
                    "page_number",
                    "content",
                    "image_path",
                    "dataset_id",
                    "document_id"
                ]
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def main():
    # 创建客户端实例
    client = InfinityClient(database="book_image_db")
    
    try:
        print("=== 连接上下文示例 ===") 
            
        # 1. 获取所有数据库
        # databases = conn.list_databases()
        # print(f"1. 所有数据库: {databases}")
            
        # 2. 获取当前数据库的所有表
        tables = client.list_tables()
        print(f"2. 当前数据库表: {tables}")
            

        table_name = "book_page_image"
        # 3. 执行搜索查询
        print(f"5. 查询表 {table_name} 中的数据")
            
        # 构建查询
        search_query = {
            "field": "content",
            "query": "美美",
            "topn": 2
        }
            
        # 执行查询
        result = client.search(table_name, output_columns, search_query).to_pl()
        print(f"   - 查询结果: {result}")
            
        # 4. 执行向量检索（示例，实际需要向量字段）
        print(f"6. 执行向量检索（示例）")
            
        try:
            # 注意：此示例仅用于演示API用法，实际使用需要表中存在向量字段
            vector_query = {
                "vector_field": "dense_vector_1024",  # 假设存在向量字段
                "query_vector": vec,
                "topn": 2
            }
            vector_result = client.vector_search(table_name, output_columns, vector_query).to_pl()
            print(f"   - 向量检索结果: {vector_result}")
        except Exception as e:
            print(f"   - 向量检索示例失败（预期行为，因为表中没有向量字段）: {e}")
            

        # 5. 执行混合检索（示例，实际需要向量字段）
        print(f"6. 执行混合检索（示例）")
            
        try:
            # 注意：此示例仅用于演示API用法，实际使用需要表中存在向量字段
            vector_query = {
                "vector_field": "dense_vector_1024",  # 假设存在向量字段
                "query_vector": vec,
                "topn": 2,
                "field": "content",
                "query": "美美"
            }
            vector_result = client.hybrid_search(table_name, output_columns, vector_query).to_pl()
            print(f"   - 向量检索结果: {vector_result}")
        except Exception as e:
            print(f"   - 向量检索示例失败（预期行为，因为表中没有向量字段）: {e}")

            
        print("\n✅ 所有操作执行完成")
        
        # 8. 连接已自动释放回连接池
        print("\n✅ 连接已自动释放回连接池")
        
    except Exception as e:
        print(f"\n❌ 操作失败: {e}")
    finally:
        # 关闭客户端
        client.close()
        print("✅ 客户端已关闭")

if __name__ == "__main__":
    main()
    # infinity_client = infinity.connect(infinity.NetworkAddress("192.168.16.134", 23817))
    # db = infinity_client.get_database("book_image_db")
    # list_tables = db.list_tables()
    # print(list_tables)