nonebot2/nonebot/utils.py

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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,
Dict,
Type,
Tuple,
Union,
Generic,
TypeVar,
Callable,
Optional,
Awaitable,
AsyncGenerator,
ContextManager,
)
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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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"""
:说明:
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用于记录带颜色日志时转义 ``<tag>`` 类型特殊标签
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:参数:
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* ``s: str``: 需要转义的字符串
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:返回:
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- ``str``
"""
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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:
try:
return issubclass(cls, class_or_tuple)
except TypeError:
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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
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elif origin:
return issubclass(origin, class_or_tuple)
raise
def is_coroutine_callable(call: Callable[..., Any]) -> bool:
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:
if inspect.isgeneratorfunction(call):
return True
func_ = getattr(call, "__call__", None)
return inspect.isgeneratorfunction(func_)
def is_async_gen_callable(call: Callable[..., Any]) -> bool:
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]]:
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"""
:说明:
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一个用于包装 sync function async function 的装饰器
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:参数:
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* ``call: Callable[P, R]``: 被装饰的同步函数
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:返回:
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- ``Callable[P, Awaitable[R]]``
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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]:
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:
if inspect.isfunction(obj) or inspect.isclass(obj):
return obj.__name__
return obj.__class__.__name__
class CacheDict(Dict[K, V], Generic[K, V]):
def __init__(self, *args, **kwargs):
super(CacheDict, self).__init__(*args, **kwargs)
self._lock = asyncio.Lock()
@property
def locked(self):
return self._lock.locked()
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def __repr__(self):
extra = "locked" if self.locked else "unlocked"
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return f"<{self.__class__.__name__} [{extra}]>"
async def __aenter__(self) -> None:
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await self.acquire()
return None
async def __aexit__(self, exc_type, exc, tb):
self.release()
async def acquire(self):
return await self._lock.acquire()
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def release(self):
self._lock.release()
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class DataclassEncoder(json.JSONEncoder):
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"""
:说明:
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在JSON序列化 ``Message`` (List[Dataclass]) 时使用的 ``JSONEncoder``
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"""
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@overrides(json.JSONEncoder)
def default(self, o):
if dataclasses.is_dataclass(o):
return dataclasses.asdict(o)
return super().default(o)
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def logger_wrapper(logger_name: str):
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"""
:说明:
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用于打印 adapter 的日志
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:log 参数:
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* ``level: Literal['WARNING', 'DEBUG', 'INFO']``: 日志等级
* ``message: str``: 日志信息
* ``exception: Optional[Exception]``: 异常信息
"""
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def log(level: str, message: str, exception: Optional[Exception] = None):
return logger.opt(colors=True, exception=exception).log(
level, f"<m>{escape_tag(logger_name)}</m> | " + message
)
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return log