from __future__ import annotations

import asyncio
import copy
import json
import os
import threading
import urllib.parse
from collections.abc import AsyncGenerator, Awaitable, Callable, Mapping
from dataclasses import dataclass
from types import MappingProxyType
from typing import Any

import aiohttp

from astrbot import logger
from astrbot.core import sp
from astrbot.core.agent.mcp_client import MCPClient, MCPTool
from astrbot.core.agent.tool import FunctionTool, ToolSet
from astrbot.core.tools.registry import (
    ensure_builtin_tools_loaded,
    get_builtin_tool_class,
    get_builtin_tool_name,
    iter_builtin_tool_classes,
)
from astrbot.core.utils.astrbot_path import get_astrbot_data_path

DEFAULT_MCP_CONFIG = {"mcpServers": {}}

DEFAULT_MCP_INIT_TIMEOUT_SECONDS = 180.0
DEFAULT_ENABLE_MCP_TIMEOUT_SECONDS = 180.0
MCP_INIT_TIMEOUT_ENV = "ASTRBOT_MCP_INIT_TIMEOUT"
ENABLE_MCP_TIMEOUT_ENV = "ASTRBOT_MCP_ENABLE_TIMEOUT"
MAX_MCP_TIMEOUT_SECONDS = 300.0


class MCPInitError(Exception):
    """Base exception for MCP initialization failures."""


class MCPInitTimeoutError(asyncio.TimeoutError, MCPInitError):
    """Raised when MCP client initialization exceeds the configured timeout."""


class MCPAllServicesFailedError(MCPInitError):
    """Raised when all configured MCP services fail to initialize."""


class MCPShutdownTimeoutError(asyncio.TimeoutError):
    """Raised when MCP shutdown exceeds the configured timeout."""

    def __init__(self, names: list[str], timeout: float) -> None:
        self.names = names
        self.timeout = timeout
        message = f"MCP 服务关闭超时（{timeout:g} 秒）：{', '.join(names)}"
        super().__init__(message)


@dataclass
class MCPInitSummary:
    total: int
    success: int
    failed: list[str]


@dataclass
class _MCPServerRuntime:
    name: str
    client: MCPClient
    shutdown_event: asyncio.Event
    lifecycle_task: asyncio.Task[None]


class _MCPClientDictView(Mapping[str, MCPClient]):
    """Read-only view of MCP clients derived from runtime state."""

    def __init__(self, runtime: dict[str, _MCPServerRuntime]) -> None:
        self._runtime = runtime

    def __getitem__(self, key: str) -> MCPClient:
        return self._runtime[key].client

    def __iter__(self):
        return iter(self._runtime)

    def __len__(self) -> int:
        return len(self._runtime)


def _resolve_timeout(
    timeout: float | int | str | None = None,
    *,
    env_name: str = MCP_INIT_TIMEOUT_ENV,
    default: float = DEFAULT_MCP_INIT_TIMEOUT_SECONDS,
) -> float:
    """Resolve timeout with precedence: explicit argument > env value > default."""
    source = f"环境变量 {env_name}"
    if timeout is None:
        timeout = os.getenv(env_name, str(default))
    else:
        source = "显式参数 timeout"

    try:
        timeout_value = float(timeout)
    except (TypeError, ValueError):
        logger.warning(
            f"超时配置（{source}）={timeout!r} 无效，使用默认值 {default:g} 秒。"
        )
        return default

    if timeout_value <= 0:
        logger.warning(
            f"超时配置（{source}）={timeout_value:g} 必须大于 0，使用默认值 {default:g} 秒。"
        )
        return default

    if timeout_value > MAX_MCP_TIMEOUT_SECONDS:
        logger.warning(
            f"超时配置（{source}）={timeout_value:g} 过大，已限制为最大值 "
            f"{MAX_MCP_TIMEOUT_SECONDS:g} 秒，以避免长时间等待。"
        )
        return MAX_MCP_TIMEOUT_SECONDS

    return timeout_value


SUPPORTED_TYPES = [
    "string",
    "number",
    "object",
    "array",
    "boolean",
]  # json schema 支持的数据类型

PY_TO_JSON_TYPE = {
    "int": "number",
    "float": "number",
    "bool": "boolean",
    "str": "string",
    "dict": "object",
    "list": "array",
    "tuple": "array",
    "set": "array",
}
# alias
FuncTool = FunctionTool


def _prepare_config(config: dict) -> dict:
    """准备配置，处理嵌套格式"""
    if config.get("mcpServers"):
        first_key = next(iter(config["mcpServers"]))
        config = config["mcpServers"][first_key]
    config.pop("active", None)
    return config


async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
    """快速测试 MCP 服务器可达性"""
    import aiohttp

    cfg = _prepare_config(config.copy())

    url = cfg["url"]
    headers = cfg.get("headers", {})
    timeout = cfg.get("timeout", 10)

    try:
        async with aiohttp.ClientSession() as session:
            if cfg.get("transport") == "streamable_http":
                test_payload = {
                    "jsonrpc": "2.0",
                    "method": "initialize",
                    "id": 0,
                    "params": {
                        "protocolVersion": "2024-11-05",
                        "capabilities": {},
                        "clientInfo": {"name": "test-client", "version": "1.2.3"},
                    },
                }
                async with session.post(
                    url,
                    headers={
                        **headers,
                        "Content-Type": "application/json",
                        "Accept": "application/json, text/event-stream",
                    },
                    json=test_payload,
                    timeout=aiohttp.ClientTimeout(total=timeout),
                ) as response:
                    if response.status == 200:
                        return True, ""
                    return False, f"HTTP {response.status}: {response.reason}"
            else:
                async with session.get(
                    url,
                    headers={
                        **headers,
                        "Accept": "application/json, text/event-stream",
                    },
                    timeout=aiohttp.ClientTimeout(total=timeout),
                ) as response:
                    if response.status == 200:
                        return True, ""
                    return False, f"HTTP {response.status}: {response.reason}"

    except asyncio.TimeoutError:
        return False, f"连接超时: {timeout}秒"
    except Exception as e:
        return False, f"{e!s}"


class _PermissionGuardedTool(FunctionTool):
    """Transparent proxy that checks per-tool permissions before delegating.

    Only wraps non-builtin tools. Builtin tools are added to the tool set
    without wrapping, so their existing hardcoded permission logic
    (``check_admin_permission`` / ``_is_restricted_env``) is unaffected.

    The ``handler`` field is intentionally kept ``None`` so that
    ``FunctionToolExecutor._execute_local`` falls through to the
    ``is_override_call`` branch and invokes our ``call()`` instead of
    calling the raw handler directly.  This ensures the permission
    check runs for *every* invocation path.
    """

    def __init__(
        self,
        tool: FunctionTool,
        manager: FunctionToolManager,
    ) -> None:
        # Do NOT pass handler to the parent — keep self.handler = None
        # so the tool executor always routes through our call().
        super().__init__(
            name=tool.name,
            description=tool.description,
            parameters=getattr(tool, "parameters", {}),
        )
        self._wrapped = tool
        self._mgr = manager
        # Mirror mutable state from the underlying tool
        self.active = getattr(tool, "active", True)
        self.handler_module_path = getattr(tool, "handler_module_path", None)

    async def call(self, context: Any, **kwargs: Any) -> Any:
        import inspect as _inspect

        error = self._mgr._check_tool_permission(self.name, context)
        if error is not None:
            return error

        # Delegate to handler first (plugin tools).
        if self._wrapped.handler is not None:
            result = self._wrapped.handler(context, **kwargs)
            if _inspect.isasyncgen(result):
                last: Any = None
                async for item in result:
                    last = item
                return last
            if _inspect.isawaitable(result):
                return await result
            return result

        # Fall back to overridden call() on subclasses (e.g. MCPTool).
        call_override = getattr(type(self._wrapped), "call", None)
        if call_override is not None and call_override is not FunctionTool.call:
            return await self._wrapped.call(context, **kwargs)

        run = getattr(self._wrapped, "run", None)
        if run is not None:
            event = context.context.event
            result = run(event, **kwargs)
            if _inspect.isasyncgen(result):
                last: Any = None
                async for item in result:
                    last = item
                return last
            if _inspect.isawaitable(result):
                return await result
            return result

        return "error: tool has no callable handler"


class FunctionToolManager:
    def __init__(self) -> None:
        self.func_list: list[FuncTool] = []
        """All tools include mcp tools and plugin tools, except astrbot builtin tools."""
        self.builtin_func_list: dict[type[FuncTool], FuncTool] = {}
        """All astrbot builtin tools, keyed by their class. Values are instantiated tool objects, created on demand."""

        self._mcp_server_runtime: dict[str, _MCPServerRuntime] = {}
        """MCP runtime metadata, keyed by server name. Updated atomically on MCP lifecycle changes."""
        self._mcp_server_runtime_view = MappingProxyType(self._mcp_server_runtime)
        self._mcp_client_dict_view = _MCPClientDictView(self._mcp_server_runtime)
        self._timeout_mismatch_warned = False
        self._timeout_warn_lock = threading.Lock()
        self._runtime_lock = asyncio.Lock()
        self._mcp_starting: set[str] = set()
        self._init_timeout_default = _resolve_timeout(
            timeout=None,
            env_name=MCP_INIT_TIMEOUT_ENV,
            default=DEFAULT_MCP_INIT_TIMEOUT_SECONDS,
        )
        self._enable_timeout_default = _resolve_timeout(
            timeout=None,
            env_name=ENABLE_MCP_TIMEOUT_ENV,
            default=DEFAULT_ENABLE_MCP_TIMEOUT_SECONDS,
        )
        self._warn_on_timeout_mismatch(
            self._init_timeout_default,
            self._enable_timeout_default,
        )

    @property
    def mcp_client_dict(self) -> Mapping[str, MCPClient]:
        """Read-only compatibility view for external callers that still read mcp_client_dict.

        Note: Mutating this mapping is unsupported and will raise TypeError.
        """
        return self._mcp_client_dict_view

    @property
    def mcp_server_runtime_view(self) -> Mapping[str, _MCPServerRuntime]:
        """Read-only view of MCP runtime metadata for external callers."""
        return self._mcp_server_runtime_view

    @property
    def mcp_server_runtime(self) -> Mapping[str, _MCPServerRuntime]:
        """Backward-compatible read-only view (deprecated). Do not mutate.

        Note: Mutations are not supported and will raise TypeError.
        """
        return self._mcp_server_runtime_view

    def empty(self) -> bool:
        return len(self.func_list) == 0

    def spec_to_func(
        self,
        name: str,
        func_args: list[dict],
        desc: str,
        handler: Callable[..., Awaitable[Any] | AsyncGenerator[Any]],
    ) -> FuncTool:
        params = {
            "type": "object",  # hard-coded here
            "properties": {},
        }
        for param in func_args:
            p = copy.deepcopy(param)
            p.pop("name", None)
            params["properties"][param["name"]] = p
        return FuncTool(
            name=name,
            parameters=params,
            description=desc,
            handler=handler,
        )

    def add_func(
        self,
        name: str,
        func_args: list,
        desc: str,
        handler: Callable[..., Awaitable[Any] | AsyncGenerator[Any]],
    ) -> None:
        """添加函数调用工具

        @param name: 函数名
        @param func_args: 函数参数列表，格式为 [{"type": "string", "name": "arg_name", "description": "arg_description"}, ...]
        @param desc: 函数描述
        @param func_obj: 处理函数
        """
        # check if the tool has been added before
        self.remove_func(name)

        self.func_list.append(
            self.spec_to_func(
                name=name,
                func_args=func_args,
                desc=desc,
                handler=handler,
            ),
        )
        logger.info(f"Added llm tool: {name}")

    def remove_func(self, name: str) -> None:
        """删除一个函数调用工具。"""
        for i, f in enumerate(self.func_list):
            if f.name == name:
                self.func_list.pop(i)
                break

    def get_func(self, name) -> FuncTool | None:
        # 优先返回已激活的工具（后加载的覆盖前面的，与 ToolSet.add_tool 保持一致）
        # 使用 getattr(..., True) 与 ToolSet.add_tool 保持一致：没有 active 属性的工具视为已激活
        for f in reversed(self.func_list):
            if f.name == name and getattr(f, "active", True):
                return f
        # 退化则拿最后一个同名工具
        for f in reversed(self.func_list):
            if f.name == name:
                return f
        if isinstance(name, str):
            try:
                builtin_tool = self.get_builtin_tool(name)
            except KeyError:
                return None
            if getattr(builtin_tool, "active", True):
                return builtin_tool
            return builtin_tool
        return None

    def get_builtin_tool(self, tool: str | type[FuncTool]) -> FuncTool:
        ensure_builtin_tools_loaded()

        if isinstance(tool, str):
            tool_cls = get_builtin_tool_class(tool)
            if tool_cls is None:
                raise KeyError(f"Builtin tool {tool} is not registered.")
        elif isinstance(tool, type) and issubclass(tool, FunctionTool):
            tool_cls = tool
            if get_builtin_tool_name(tool_cls) is None:
                raise KeyError(
                    f"Builtin tool class {tool_cls.__module__}.{tool_cls.__name__} is not registered.",
                )
        else:
            raise TypeError("tool must be a builtin tool name or FunctionTool class.")

        cached_tool = self.builtin_func_list.get(tool_cls)
        if cached_tool is not None:
            return cached_tool

        builtin_tool = tool_cls()  # type: ignore
        self.builtin_func_list[tool_cls] = builtin_tool
        return builtin_tool

    def iter_builtin_tools(self) -> list[FuncTool]:
        ensure_builtin_tools_loaded()
        return [
            self.get_builtin_tool(tool_cls) for tool_cls in iter_builtin_tool_classes()
        ]

    def is_builtin_tool(self, name: str) -> bool:
        ensure_builtin_tools_loaded()
        return get_builtin_tool_class(name) is not None

    def _default_permission(self, tool_name: str) -> str:
        """Compute the fallback permission for a non-builtin tool.

        All non-builtin tools default to ``"member"`` (no restriction).
        Builtin tools are never routed through this method."""
        return "member"

    def _check_tool_permission(
        self,
        tool_name: str,
        context: Any,
    ) -> str | None:
        """Return an error string if the caller lacks permission, or None.

        Only non-builtin tools are guarded. Permission is resolved from
        ``tool_permissions`` in SharedPreferences (``_default`` key). When
        no explicit entry exists the tool inherits the fallback
        ``_default_permission``."""
        try:
            perms_raw = sp.get(
                "tool_permissions", {}, scope="global", scope_id="global"
            )
        except Exception:
            perms_raw = {}
        defaults = perms_raw.get("_default", {}) if isinstance(perms_raw, dict) else {}
        effective = defaults.get(tool_name)
        if effective is None:
            effective = self._default_permission(tool_name)

        if effective != "admin":
            return None  # member or unknown → pass

        try:
            event = context.context.event
        except AttributeError:
            event = None
        if event is None or not event.is_admin():
            sender_id = getattr(event, "get_sender_id", lambda: "unknown")()
            return (
                f"error: Permission denied. The tool '{tool_name}' requires admin "
                f"privileges. Your ID: {sender_id}. "
                "Ask admin to configure in WebUI → Extension → Components."
            )
        return None

    def get_full_tool_set(self) -> ToolSet:
        """获取完整工具集

        使用 ToolSet.add_tool 进行填充。对于同名工具，去重规则为：
        - 优先保留 active=True 的工具；
        - 当 active 状态相同时，后加载的工具会覆盖前面的工具。

        因此，后加载的 inactive 工具不会覆盖已激活的工具；
        同时，MCP 工具在需要时仍可覆盖被禁用的内置工具。

        Non-builtin tools are wrapped with ``_PermissionGuardedTool`` so that
        every invocation checks the per-tool permission configured via the
        dashboard.
        """
        tool_set = ToolSet()
        for tool in self.func_list:
            tool_set.add_tool(_PermissionGuardedTool(tool, self))
        return tool_set

    @staticmethod
    def _log_safe_mcp_debug_config(cfg: dict) -> None:
        # 仅记录脱敏后的摘要，避免泄露 command/args/url 中的敏感信息
        if "command" in cfg:
            cmd = cfg["command"]
            executable = str(cmd[0] if isinstance(cmd, (list, tuple)) and cmd else cmd)
            args_val = cfg.get("args", [])
            args_count = (
                len(args_val)
                if isinstance(args_val, (list, tuple))
                else (0 if args_val is None else 1)
            )
            logger.debug(f"  命令可执行文件: {executable}, 参数数量: {args_count}")
            return

        if "url" in cfg:
            parsed = urllib.parse.urlparse(str(cfg["url"]))
            host = parsed.hostname or ""
            scheme = parsed.scheme or "unknown"
            try:
                port = f":{parsed.port}" if parsed.port else ""
            except ValueError:
                port = ""
            logger.debug(f"  主机: {scheme}://{host}{port}")

    async def init_mcp_clients(
        self, raise_on_all_failed: bool = False
    ) -> MCPInitSummary:
        """从项目根目录读取 mcp_server.json 文件，初始化 MCP 服务列表。文件格式如下：
        ```
        {
            "mcpServers": {
                "weather": {
                    "command": "uv",
                    "args": [
                        "--directory",
                        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather",
                        "run",
                        "weather.py"
                    ]
                }
            }
            ...
        }
        ```

        Timeout behavior:
        - 初始化超时使用环境变量 ASTRBOT_MCP_INIT_TIMEOUT 或默认值。
        - 动态启用超时使用 ASTRBOT_MCP_ENABLE_TIMEOUT（独立于初始化超时）。
        """
        data_dir = get_astrbot_data_path()

        mcp_json_file = os.path.join(data_dir, "mcp_server.json")
        if not os.path.exists(mcp_json_file):
            # 配置文件不存在错误处理
            with open(mcp_json_file, "w", encoding="utf-8") as f:
                json.dump(DEFAULT_MCP_CONFIG, f, ensure_ascii=False, indent=4)
            logger.info(f"未找到 MCP 服务配置文件，已创建默认配置文件 {mcp_json_file}")
            return MCPInitSummary(total=0, success=0, failed=[])

        with open(mcp_json_file, encoding="utf-8") as f:
            mcp_server_json_obj: dict[str, dict] = json.load(f)["mcpServers"]

        init_timeout = self._init_timeout_default
        timeout_display = f"{init_timeout:g}"

        active_configs: list[tuple[str, dict, asyncio.Event]] = []
        for name, cfg in mcp_server_json_obj.items():
            if cfg.get("active", True):
                shutdown_event = asyncio.Event()
                active_configs.append((name, cfg, shutdown_event))

        if not active_configs:
            return MCPInitSummary(total=0, success=0, failed=[])

        logger.info(f"等待 {len(active_configs)} 个 MCP 服务初始化...")

        init_tasks = [
            asyncio.create_task(
                self._start_mcp_server(
                    name=name,
                    cfg=cfg,
                    shutdown_event=shutdown_event,
                    timeout=init_timeout,
                ),
                name=f"mcp-init:{name}",
            )
            for (name, cfg, shutdown_event) in active_configs
        ]
        results = await asyncio.gather(*init_tasks, return_exceptions=True)

        success_count = 0
        failed_services: list[str] = []

        for (name, cfg, _), result in zip(active_configs, results, strict=False):
            if isinstance(result, Exception):
                if isinstance(result, MCPInitTimeoutError):
                    logger.error(
                        f"Connected to MCP server {name} timeout ({timeout_display} seconds)"
                    )
                else:
                    logger.error(f"Failed to initialize MCP server {name}: {result}")
                self._log_safe_mcp_debug_config(cfg)
                failed_services.append(name)
                async with self._runtime_lock:
                    self._mcp_server_runtime.pop(name, None)
                continue

            success_count += 1

        if failed_services:
            logger.warning(
                f"The following MCP services failed to initialize: {', '.join(failed_services)}. "
                f"Please check the mcp_server.json file and server availability."
            )

        summary = MCPInitSummary(
            total=len(active_configs), success=success_count, failed=failed_services
        )
        logger.info(
            f"MCP services initialization completed: {summary.success}/{summary.total} successful, {len(summary.failed)} failed."
        )
        if summary.total > 0 and summary.success == 0:
            msg = "All MCP services failed to initialize, please check the mcp_server.json and server availability."
            if raise_on_all_failed:
                raise MCPAllServicesFailedError(msg)
            logger.error(msg)
        return summary

    async def _start_mcp_server(
        self,
        name: str,
        cfg: dict,
        *,
        shutdown_event: asyncio.Event | None = None,
        timeout: float,
    ) -> None:
        """Initialize MCP server with timeout and register task/event together.

        This method is idempotent. If the server is already running, the existing
        runtime is kept and the new config is ignored.
        """
        async with self._runtime_lock:
            if name in self._mcp_server_runtime or name in self._mcp_starting:
                logger.warning(
                    f"Connected to MCP server {name}, ignoring this startup request (timeout={timeout:g})."
                )
                self._log_safe_mcp_debug_config(cfg)
                return
            self._mcp_starting.add(name)

        if shutdown_event is None:
            shutdown_event = asyncio.Event()

        mcp_client: MCPClient | None = None
        try:
            mcp_client = await asyncio.wait_for(
                self._init_mcp_client(name, cfg),
                timeout=timeout,
            )
        except asyncio.TimeoutError as exc:
            raise MCPInitTimeoutError(
                f"Connected to MCP server {name} timeout ({timeout:g} seconds)"
            ) from exc
        except Exception:
            logger.error(f"Failed to initialize MCP client {name}", exc_info=True)
            raise
        finally:
            if mcp_client is None:
                async with self._runtime_lock:
                    self._mcp_starting.discard(name)

        async def lifecycle() -> None:
            try:
                await shutdown_event.wait()
                logger.info(f"Received shutdown signal for MCP client {name}")
            except asyncio.CancelledError:
                logger.debug(f"MCP client {name} task was cancelled")
                raise
            finally:
                await self._terminate_mcp_client(name)

        lifecycle_task = asyncio.create_task(lifecycle(), name=f"mcp-client:{name}")
        async with self._runtime_lock:
            self._mcp_server_runtime[name] = _MCPServerRuntime(
                name=name,
                client=mcp_client,
                shutdown_event=shutdown_event,
                lifecycle_task=lifecycle_task,
            )
            self._mcp_starting.discard(name)

    async def _shutdown_runtimes(
        self,
        runtimes: list[_MCPServerRuntime],
        timeout: float,
        *,
        strict: bool = True,
    ) -> list[str]:
        """Shutdown runtimes and wait for lifecycle tasks to complete."""
        lifecycle_tasks = [
            runtime.lifecycle_task
            for runtime in runtimes
            if not runtime.lifecycle_task.done()
        ]
        if not lifecycle_tasks:
            return []

        for runtime in runtimes:
            runtime.shutdown_event.set()

        try:
            results = await asyncio.wait_for(
                asyncio.gather(*lifecycle_tasks, return_exceptions=True),
                timeout=timeout,
            )
        except asyncio.TimeoutError:
            pending_names = [
                runtime.name
                for runtime in runtimes
                if not runtime.lifecycle_task.done()
            ]
            for task in lifecycle_tasks:
                if not task.done():
                    task.cancel()
            await asyncio.gather(*lifecycle_tasks, return_exceptions=True)
            if strict:
                raise MCPShutdownTimeoutError(pending_names, timeout)
            logger.warning(
                "MCP server shutdown timeout (%s seconds), the following servers were not fully closed: %s",
                f"{timeout:g}",
                ", ".join(pending_names),
            )
            return pending_names
        else:
            for result in results:
                if isinstance(result, asyncio.CancelledError):
                    logger.debug("MCP lifecycle task was cancelled during shutdown.")
                elif isinstance(result, Exception):
                    logger.error(
                        "MCP lifecycle task failed during shutdown.",
                        exc_info=(type(result), result, result.__traceback__),
                    )
        return []

    async def _cleanup_mcp_client_safely(
        self, mcp_client: MCPClient, name: str
    ) -> None:
        """安全清理单个 MCP 客户端，避免清理异常中断主流程。"""
        try:
            await mcp_client.cleanup()
        except Exception as cleanup_exc:  # noqa: BLE001 - only log here
            logger.error(
                f"Failed to cleanup MCP client resources {name}: {cleanup_exc}"
            )

    async def _init_mcp_client(self, name: str, config: dict) -> MCPClient:
        """初始化单个MCP客户端"""
        mcp_client = MCPClient()
        mcp_client.name = name
        try:
            await mcp_client.connect_to_server(config, name)
            tools_res = await mcp_client.list_tools_and_save()
        except asyncio.CancelledError:
            await self._cleanup_mcp_client_safely(mcp_client, name)
            raise
        except Exception:
            await self._cleanup_mcp_client_safely(mcp_client, name)
            raise
        logger.debug(f"MCP server {name} list tools response: {tools_res}")
        tool_names = [tool.name for tool in tools_res.tools]

        # 移除该MCP服务之前的工具（如有）
        self.func_list = [
            f
            for f in self.func_list
            if not (isinstance(f, MCPTool) and f.mcp_server_name == name)
        ]

        # 将 MCP 工具转换为 FuncTool 并添加到 func_list
        for tool in mcp_client.tools:
            func_tool = MCPTool(
                mcp_tool=tool,
                mcp_client=mcp_client,
                mcp_server_name=name,
            )
            self.func_list.append(func_tool)

        logger.info(f"Connected to MCP server {name}, Tools: {tool_names}")
        return mcp_client

    async def _terminate_mcp_client(self, name: str) -> None:
        """关闭并清理MCP客户端"""
        async with self._runtime_lock:
            runtime = self._mcp_server_runtime.get(name)
        if runtime:
            client = runtime.client
            # 关闭MCP连接
            await self._cleanup_mcp_client_safely(client, name)
            # 移除关联的FuncTool
            self.func_list = [
                f
                for f in self.func_list
                if not (isinstance(f, MCPTool) and f.mcp_server_name == name)
            ]
            async with self._runtime_lock:
                self._mcp_server_runtime.pop(name, None)
                self._mcp_starting.discard(name)
            logger.info(f"Disconnected from MCP server {name}")
            return

        # Runtime missing but stale tools may still exist after failed flows.
        self.func_list = [
            f
            for f in self.func_list
            if not (isinstance(f, MCPTool) and f.mcp_server_name == name)
        ]
        async with self._runtime_lock:
            self._mcp_starting.discard(name)

    @staticmethod
    async def test_mcp_server_connection(config: dict) -> list[str]:
        if "url" in config:
            success, error_msg = await _quick_test_mcp_connection(config)
            if not success:
                raise Exception(error_msg)

        mcp_client = MCPClient()
        try:
            logger.debug(f"testing MCP server connection with config: {config}")
            await mcp_client.connect_to_server(config, "test")
            tools_res = await mcp_client.list_tools_and_save()
            tool_names = [tool.name for tool in tools_res.tools]
        finally:
            logger.debug("Cleaning up MCP client after testing connection.")
            await mcp_client.cleanup()
        return tool_names

    async def enable_mcp_server(
        self,
        name: str,
        config: dict,
        shutdown_event: asyncio.Event | None = None,
        timeout: float | int | str | None = None,
    ) -> None:
        """Enable a new MCP server and initialize it.

        Args:
            name: The name of the MCP server.
            config: Configuration for the MCP server.
            shutdown_event: Event to signal when the MCP client should shut down.
            timeout: Timeout in seconds for initialization.
                Uses ASTRBOT_MCP_ENABLE_TIMEOUT by default (separate from init timeout).

        Raises:
            MCPInitTimeoutError: If initialization does not complete within timeout.
            Exception: If there is an error during initialization.
        """
        if timeout is None:
            timeout_value = self._enable_timeout_default
        else:
            timeout_value = _resolve_timeout(
                timeout=timeout,
                env_name=ENABLE_MCP_TIMEOUT_ENV,
                default=self._enable_timeout_default,
            )
        await self._start_mcp_server(
            name=name,
            cfg=config,
            shutdown_event=shutdown_event,
            timeout=timeout_value,
        )

    async def disable_mcp_server(
        self,
        name: str | None = None,
        timeout: float = 10,
    ) -> None:
        """Disable an MCP server by its name.

        Args:
            name (str): The name of the MCP server to disable. If None, ALL MCP servers will be disabled.
            timeout (int): Timeout.

        Raises:
            MCPShutdownTimeoutError: If shutdown does not complete within timeout.
                Only raised when disabling a specific server (name is not None).

        """
        if name:
            async with self._runtime_lock:
                runtime = self._mcp_server_runtime.get(name)
            if runtime is None:
                return

            await self._shutdown_runtimes([runtime], timeout, strict=True)
        else:
            async with self._runtime_lock:
                runtimes = list(self._mcp_server_runtime.values())
            await self._shutdown_runtimes(runtimes, timeout, strict=False)

    def _warn_on_timeout_mismatch(
        self,
        init_timeout: float,
        enable_timeout: float,
    ) -> None:
        if init_timeout == enable_timeout:
            return
        with self._timeout_warn_lock:
            if self._timeout_mismatch_warned:
                return
            logger.info(
                "检测到 MCP 初始化超时与动态启用超时配置不同："
                "初始化使用 %s 秒，动态启用使用 %s 秒。如需一致，请设置相同值。",
                f"{init_timeout:g}",
                f"{enable_timeout:g}",
            )
            self._timeout_mismatch_warned = True

    def get_func_desc_openai_style(self, omit_empty_parameter_field=False) -> list:
        """获得 OpenAI API 风格的**已经激活**的工具描述"""
        tools = [f for f in self.func_list if f.active]
        toolset = ToolSet(tools)
        return toolset.openai_schema(
            omit_empty_parameter_field=omit_empty_parameter_field,
        )

    def get_func_desc_anthropic_style(self) -> list:
        """获得 Anthropic API 风格的**已经激活**的工具描述"""
        tools = [f for f in self.func_list if f.active]
        toolset = ToolSet(tools)
        return toolset.anthropic_schema()

    def get_func_desc_google_genai_style(self) -> dict:
        """获得 Google GenAI API 风格的**已经激活**的工具描述"""
        tools = [f for f in self.func_list if f.active]
        toolset = ToolSet(tools)
        return toolset.google_schema()

    def deactivate_llm_tool(self, name: str) -> bool:
        """停用一个已经注册的函数调用工具。

        Returns:
            如果没找到，会返回 False

        """
        func_tool = self.get_func(name)
        if func_tool is not None:
            func_tool.active = False

            inactivated_llm_tools: list = sp.get(
                "inactivated_llm_tools",
                [],
                scope="global",
                scope_id="global",
            )
            if name not in inactivated_llm_tools:
                inactivated_llm_tools.append(name)
                sp.put(
                    "inactivated_llm_tools",
                    inactivated_llm_tools,
                    scope="global",
                    scope_id="global",
                )

            return True
        return False

    # 因为不想解决循环引用，所以这里直接传入 star_map 先了...
    def activate_llm_tool(self, name: str, star_map: dict) -> bool:
        func_tool = self.get_func(name)
        if func_tool is not None:
            if func_tool.handler_module_path in star_map:
                if not star_map[func_tool.handler_module_path].activated:
                    raise ValueError(
                        f"此函数调用工具所属的插件 {star_map[func_tool.handler_module_path].name} 已被禁用，请先在管理面板启用再激活此工具。",
                    )

            func_tool.active = True

            inactivated_llm_tools: list = sp.get(
                "inactivated_llm_tools",
                [],
                scope="global",
                scope_id="global",
            )
            if name in inactivated_llm_tools:
                inactivated_llm_tools.remove(name)
                sp.put(
                    "inactivated_llm_tools",
                    inactivated_llm_tools,
                    scope="global",
                    scope_id="global",
                )

            return True
        return False

    @property
    def mcp_config_path(self):
        data_dir = get_astrbot_data_path()
        return os.path.join(data_dir, "mcp_server.json")

    def load_mcp_config(self):
        if not os.path.exists(self.mcp_config_path):
            # 配置文件不存在，创建默认配置
            os.makedirs(os.path.dirname(self.mcp_config_path), exist_ok=True)
            with open(self.mcp_config_path, "w", encoding="utf-8") as f:
                json.dump(DEFAULT_MCP_CONFIG, f, ensure_ascii=False, indent=4)
            return DEFAULT_MCP_CONFIG

        try:
            with open(self.mcp_config_path, encoding="utf-8") as f:
                return json.load(f)
        except Exception as e:
            logger.error(f"加载 MCP 配置失败: {e}")
            return DEFAULT_MCP_CONFIG

    def save_mcp_config(self, config: dict) -> bool:
        try:
            with open(self.mcp_config_path, "w", encoding="utf-8") as f:
                json.dump(config, f, ensure_ascii=False, indent=4)
            return True
        except Exception as e:
            logger.error(f"保存 MCP 配置失败: {e}")
            return False

    async def sync_modelscope_mcp_servers(self, access_token: str) -> None:
        """从 ModelScope 平台同步 MCP 服务器配置"""
        base_url = "https://www.modelscope.cn/openapi/v1"
        url = f"{base_url}/mcp/servers/operational"
        headers = {
            "Authorization": f"Bearer {access_token.strip()}",
            "Content-Type": "application/json",
        }

        try:
            async with aiohttp.ClientSession() as session:
                async with session.get(url, headers=headers) as response:
                    if response.status == 200:
                        data = await response.json()
                        mcp_server_list = data.get("data", {}).get(
                            "mcp_server_list",
                            [],
                        )
                        local_mcp_config = self.load_mcp_config()

                        synced_count = 0
                        for server in mcp_server_list:
                            server_name = server["name"]
                            operational_urls = server.get("operational_urls", [])
                            if not operational_urls:
                                continue
                            url_info = operational_urls[0]
                            server_url = url_info.get("url")
                            if not server_url:
                                continue
                            # 添加到配置中(同名会覆盖)
                            local_mcp_config["mcpServers"][server_name] = {
                                "url": server_url,
                                "transport": "sse",
                                "active": True,
                                "provider": "modelscope",
                            }
                            synced_count += 1

                        if synced_count > 0:
                            self.save_mcp_config(local_mcp_config)
                            tasks = []
                            for server in mcp_server_list:
                                name = server["name"]
                                tasks.append(
                                    self.enable_mcp_server(
                                        name=name,
                                        config=local_mcp_config["mcpServers"][name],
                                    ),
                                )
                            await asyncio.gather(*tasks)
                            logger.info(
                                f"从 ModelScope 同步了 {synced_count} 个 MCP 服务器",
                            )
                        else:
                            logger.warning("没有找到可用的 ModelScope MCP 服务器")
                    else:
                        raise Exception(
                            f"ModelScope API 请求失败: HTTP {response.status}",
                        )

        except aiohttp.ClientError as e:
            raise Exception(f"网络连接错误: {e!s}")
        except Exception as e:
            raise Exception(f"同步 ModelScope MCP 服务器时发生错误: {e!s}")

    def __str__(self) -> str:
        return str(self.func_list)

    def __repr__(self) -> str:
        return str(self.func_list)


# alias
FuncCall = FunctionToolManager
