import asyncio
from langchain_mcp_adapters.tools import load_mcp_tools
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

# 配置mcp服务器脚本路径
server_script = r".\stdio_server.py"

# 配置mcp服务器启动参数
server_params = StdioServerParameters(
    command="python" if server_script.endswith(".py") else "node",
    args=[server_script],
)

# 定义mcp客户端
mcp_client = None

# 主要的异步函数run_agent
async def run():
    global mcp_client
    # 启动 MCP server，并通过标准输入输出建立异步连接。
    async with stdio_client(server_params) as (read, write):
        # 使用读写通道创建 MCP 会话。
        async with ClientSession(read, write) as session:
            await session.initialize()
            # 动态创建一个临时类 MCPClientHolder，把 session 放进去。这样就可以在函数外部通过 mcp_client.session 调用 MCP 工具
            mcp_client = type("MCPClientHolder", (), {"session": session})()

            # 从 session 自动获取 MCP server 提供的工具列表。
            tools = await load_mcp_tools(session)
            print(f"tools-->{tools}")

            # 调用 MCP server 的 get_weather 工具
            response = await session.call_tool("get_weather", arguments={})
            print(f"response-->{response}")
    return

# 启动运行
if __name__ == "__main__":
    asyncio.run(run())
    # tools -->[StructuredTool(name='query_high_frequency_question',
    #                          description='从知识库中检索常见问题解答（FAQ）,返回包含问题和答案的结构化JSON数据。',
    #                          args_schema={'properties': {}, 'title': 'query_high_frequency_questionArguments',
    #                                       'type': 'object'}, response_format='content_and_artifact',
    #                          coroutine= < function convert_mcp_tool_to_langchain_tool. < locals >.call_tool
    # at
    # 0x000001DB7A188FE0 >), StructuredTool(name='get_weather', description='查询天气',
    #                                       args_schema={'properties': {}, 'title': 'get_weatherArguments',
    #                                                    'type': 'object'}, response_format='content_and_artifact',
    #                                       coroutine= < function
    # convert_mcp_tool_to_langchain_tool. < locals >.call_tool
    # at
    # 0x000001DB7A1E3060 >)]
    # response -->meta = None
    # content = [TextContent(type='text', text='北京的天气是多云', annotations=None, meta=None)]
    # structuredContent = {'result': '北京的天气是多云'}
    # isError = False