"""本模块包含了 NoneBot 的一些工具函数 FrontMatter: sidebar_position: 8 description: nonebot.utils 模块 """ import re import json import asyncio import inspect import dataclasses from functools import wraps, partial from contextlib import asynccontextmanager from typing_extensions import ParamSpec, get_args, get_origin from typing import ( Any, Type, Tuple, Union, TypeVar, Callable, Optional, Awaitable, AsyncGenerator, ContextManager, ) from nonebot.log import logger from nonebot.typing import overrides P = ParamSpec("P") R = TypeVar("R") T = TypeVar("T") K = TypeVar("K") V = TypeVar("V") def escape_tag(s: str) -> str: """用于记录带颜色日志时转义 `` 类型特殊标签 参考: [loguru color 标签](https://loguru.readthedocs.io/en/stable/api/logger.html#color) 参数: s: 需要转义的字符串 """ return re.sub(r"\s]*)>", r"\\\g<0>", s) def generic_check_issubclass( cls: Any, class_or_tuple: Union[Type[Any], Tuple[Type[Any], ...]] ) -> bool: """检查 cls 是否是 class_or_tuple 中的一个类型子类或""" try: return issubclass(cls, class_or_tuple) except TypeError: origin = get_origin(cls) if origin is Union: for type_ in get_args(cls): if type_ is not type(None) and not generic_check_issubclass( type_, class_or_tuple ): return False return True elif origin: return issubclass(origin, class_or_tuple) return False def is_coroutine_callable(call: Callable[..., Any]) -> bool: """检查 call 是否是一个 callable 协程函数""" if inspect.isroutine(call): return inspect.iscoroutinefunction(call) if inspect.isclass(call): return False func_ = getattr(call, "__call__", None) return inspect.iscoroutinefunction(func_) def is_gen_callable(call: Callable[..., Any]) -> bool: """检查 call 是否是一个生成器函数""" if inspect.isgeneratorfunction(call): return True func_ = getattr(call, "__call__", None) return inspect.isgeneratorfunction(func_) def is_async_gen_callable(call: Callable[..., Any]) -> bool: """检查 call 是否是一个异步生成器函数""" if inspect.isasyncgenfunction(call): return True func_ = getattr(call, "__call__", None) return inspect.isasyncgenfunction(func_) def run_sync(call: Callable[P, R]) -> Callable[P, Awaitable[R]]: """一个用于包装 sync function 为 async function 的装饰器 参数: call: 被装饰的同步函数 """ @wraps(call) async def _wrapper(*args: P.args, **kwargs: P.kwargs) -> R: loop = asyncio.get_running_loop() pfunc = partial(call, *args, **kwargs) result = await loop.run_in_executor(None, pfunc) return result return _wrapper @asynccontextmanager async def run_sync_ctx_manager( cm: ContextManager[T], ) -> AsyncGenerator[T, None]: """一个用于包装 sync context manager 为 async context manager 的执行函数""" try: yield await run_sync(cm.__enter__)() except Exception as e: ok = await run_sync(cm.__exit__)(type(e), e, None) if not ok: raise e else: await run_sync(cm.__exit__)(None, None, None) def get_name(obj: Any) -> str: """获取对象的名称""" if inspect.isfunction(obj) or inspect.isclass(obj): return obj.__name__ return obj.__class__.__name__ class DataclassEncoder(json.JSONEncoder): """在JSON序列化 {re}`nonebot.adapters._message.Message` (List[Dataclass]) 时使用的 `JSONEncoder`""" @overrides(json.JSONEncoder) def default(self, o): if dataclasses.is_dataclass(o): return dataclasses.asdict(o) return super().default(o) def logger_wrapper(logger_name: str) -> Callable[[str, str, Optional[Exception]], None]: """用于打印 adapter 的日志。 参数: logger_name: adapter 的名称 返回: 日志记录函数 - level: 日志等级 - message: 日志信息 - exception: 异常信息 """ def log(level: str, message: str, exception: Optional[Exception] = None): logger.opt(colors=True, exception=exception).log( level, f"{escape_tag(logger_name)} | " + message ) return log