"""
Copilot CLI MCP服务器实现

为Copilot CLI提供跨CLI集成能力的MCP服务器
支持工具调用、权限管理和异步执行
"""

import asyncio
import json
import logging
import os
import sys
from typing import Dict, Any, List, Optional
from datetime import datetime

# MCP相关导入（这里使用模拟实现，实际应该使用MCP SDK）
try:
    from mcp.server import Server
    from mcp.types import Tool, TextContent
except ImportError:
    # 如果MCP SDK不可用，使用模拟实现
    logging.warning("MCP SDK不可用，使用模拟实现")
    Server = object
    Tool = object
    TextContent = object

logger = logging.getLogger(__name__)


class CopilotMCPServer:
    """
    Copilot CLI MCP服务器

    提供以下工具:
    1. cross_cli_execute - 执行跨CLI调用
    2. get_available_clis - 获取可用的CLI工具列表
    3. check_cli_status - 检查特定CLI工具状态
    """

    def __init__(self):
        """初始化MCP服务器"""
        self.server = Server("cross-cli-adapter")
        self.adapter = None
        self.setup_handlers()

    def setup_handlers(self):
        """设置MCP服务器处理器"""

        @self.server.list_tools()
        async def list_tools() -> List[Tool]:
            """列出可用的工具"""
            return [
                Tool(
                    name="cross_cli_execute",
                    description="Execute tasks on other AI CLI tools through cross-CLI integration",
                    inputSchema={
                        "type": "object",
                        "properties": {
                            "target_cli": {
                                "type": "string",
                                "description": "Target CLI tool name (e.g., claude, gemini, qwencode)"
                            },
                            "task": {
                                "type": "string",
                                "description": "Task to execute on the target CLI"
                            }
                        },
                        "required": ["target_cli", "task"]
                    }
                ),
                Tool(
                    name="get_available_clis",
                    description="Get list of available AI CLI tools",
                    inputSchema={
                        "type": "object",
                        "properties": {}
                    }
                ),
                Tool(
                    name="check_cli_status",
                    description="Check status and health of a specific CLI tool",
                    inputSchema={
                        "type": "object",
                        "properties": {
                            "cli_name": {
                                "type": "string",
                                "description": "CLI tool name to check"
                            }
                        },
                        "required": ["cli_name"]
                    }
                )
            ]

        @self.server.call_tool()
        async def call_tool(name: str, arguments: Dict[str, Any]) -> List[TextContent]:
            """处理工具调用"""
            try:
                result = await self.handle_tool_call(name, arguments)
                return [TextContent(type="text", text=result)]
            except Exception as e:
                error_msg = f"Tool execution failed: {str(e)}"
                logger.error(error_msg)
                return [TextContent(type="text", text=error_msg)]

    async def handle_tool_call(self, tool_name: str, arguments: Dict[str, Any]) -> str:
        """处理工具调用的核心逻辑"""

        # 延迟加载适配器
        if self.adapter is None:
            from .mcp_adapter import get_copilot_mcp_adapter
            self.adapter = get_copilot_mcp_adapter()

        # 创建模拟上下文
        context = self._create_context()

        if hasattr(self.adapter, 'on_mcp_tool_call'):
            result = await self.adapter.on_mcp_tool_call(tool_name, arguments, context)
            if result is not None:
                return result

        # 默认处理
        return f"Tool {tool_name} executed with arguments: {json.dumps(arguments, indent=2)}"

    def _create_context(self):
        """创建MCP上下文"""
        from .mcp_adapter import CopilotMCPContext

        metadata = {
            'session_id': os.getenv('COPILOT_SESSION_ID', 'unknown'),
            'user_id': os.getenv('COPILOT_USER_ID', 'unknown'),
            'tool_permissions': {}
        }

        return CopilotMCPContext(metadata=metadata)

    async def run(self):
        """运行MCP服务器"""
        try:
            logger.info("启动Copilot MCP服务器")
            # 这里应该启动实际的MCP服务器
            # 由于没有MCP SDK，我们使用模拟运行
            await self._simulate_server_run()
        except Exception as e:
            logger.error(f"MCP服务器运行失败: {e}")
            sys.exit(1)

    async def _simulate_server_run(self):
        """模拟服务器运行（用于演示）"""
        logger.info("MCP服务器模拟运行中...")
        # 在实际实现中，这里会启动真正的MCP服务器
        await asyncio.sleep(1)  # 模拟运行
        logger.info("MCP服务器模拟运行完成")


async def main():
    """主函数"""
    logging.basicConfig(
        level=logging.INFO,
        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
    )

    server = CopilotMCPServer()
    await server.run()


if __name__ == "__main__":
    asyncio.run(main())