nonebot2/nonebot/utils.py

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"""本模块包含了 NoneBot 的一些工具函数
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FrontMatter:
sidebar_position: 8
description: nonebot.utils 模块
"""
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import re
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import json
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import asyncio
import inspect
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import dataclasses
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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,
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Coroutine,
AsyncGenerator,
ContextManager,
)
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from pydantic.typing import is_union, is_none_type
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from nonebot.log import logger
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from nonebot.typing import overrides
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P = ParamSpec("P")
R = TypeVar("R")
T = TypeVar("T")
K = TypeVar("K")
V = TypeVar("V")
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def escape_tag(s: str) -> str:
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"""用于记录带颜色日志时转义 `<tag>` 类型特殊标签
参考: [loguru color 标签](https://loguru.readthedocs.io/en/stable/api/logger.html#color)
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参数:
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s: 需要转义的字符串
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"""
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return re.sub(r"</?((?:[fb]g\s)?[^<>\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。
特别的如果 cls `typing.Union` `types.UnionType` 类型
则会检查其中的类型是否是 class_or_tuple 中的一个类型子类None 会被忽略
"""
try:
return issubclass(cls, class_or_tuple)
except TypeError:
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origin = get_origin(cls)
if is_union(origin):
for type_ in get_args(cls):
if not is_none_type(type_) and not generic_check_issubclass(
type_, class_or_tuple
):
return False
return True
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elif origin:
return issubclass(origin, class_or_tuple)
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return False
def is_coroutine_callable(call: Callable[..., Any]) -> bool:
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"""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):
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return False
func_ = getattr(call, "__call__", None)
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return inspect.iscoroutinefunction(func_)
def is_gen_callable(call: Callable[..., Any]) -> bool:
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"""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:
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"""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_)
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def run_sync(call: Callable[P, R]) -> Callable[P, Coroutine[None, None, R]]:
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"""一个用于包装 sync function 为 async function 的装饰器
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参数:
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call: 被装饰的同步函数
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"""
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@wraps(call)
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async def _wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
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loop = asyncio.get_running_loop()
pfunc = partial(call, *args, **kwargs)
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result = await loop.run_in_executor(None, pfunc)
return result
return _wrapper
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@asynccontextmanager
async def run_sync_ctx_manager(
cm: ContextManager[T],
) -> AsyncGenerator[T, None]:
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"""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:
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"""获取对象的名称"""
if inspect.isfunction(obj) or inspect.isclass(obj):
return obj.__name__
return obj.__class__.__name__
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class DataclassEncoder(json.JSONEncoder):
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"""在JSON序列化 {re}`nonebot.adapters._message.Message` (List[Dataclass]) 时使用的 `JSONEncoder`"""
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@overrides(json.JSONEncoder)
def default(self, o):
if dataclasses.is_dataclass(o):
return {f.name: getattr(o, f.name) for f in dataclasses.fields(o)}
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return super().default(o)
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def logger_wrapper(logger_name: str):
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"""用于打印 adapter 的日志。
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参数:
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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
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"""
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def log(level: str, message: str, exception: Optional[Exception] = None):
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logger.opt(colors=True, exception=exception).log(
level, f"<m>{escape_tag(logger_name)}</m> | " + message
)
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return log