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.venv2/Lib/site-packages/aiogram/dispatcher/event/handler.py

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+import asyncio
+import contextvars
+import inspect
+import warnings
+from dataclasses import dataclass, field
+from functools import partial
+from typing import Any, Callable, Dict, List, Optional, Set, Tuple
+
+from magic_filter.magic import MagicFilter as OriginalMagicFilter
+
+from aiogram.dispatcher.flags import extract_flags_from_object
+from aiogram.filters.base import Filter
+from aiogram.handlers import BaseHandler
+from aiogram.utils.magic_filter import MagicFilter
+from aiogram.utils.warnings import Recommendation
+
+CallbackType = Callable[..., Any]
+
+
+@dataclass
+class CallableObject:
+    callback: CallbackType
+    awaitable: bool = field(init=False)
+    params: Set[str] = field(init=False)
+    varkw: bool = field(init=False)
+
+    def __post_init__(self) -> None:
+        callback = inspect.unwrap(self.callback)
+        self.awaitable = inspect.isawaitable(callback) or inspect.iscoroutinefunction(callback)
+        spec = inspect.getfullargspec(callback)
+        self.params = {*spec.args, *spec.kwonlyargs}
+        self.varkw = spec.varkw is not None
+
+    def _prepare_kwargs(self, kwargs: Dict[str, Any]) -> Dict[str, Any]:
+        if self.varkw:
+            return kwargs
+
+        return {k: kwargs[k] for k in self.params if k in kwargs}
+
+    async def call(self, *args: Any, **kwargs: Any) -> Any:
+        wrapped = partial(self.callback, *args, **self._prepare_kwargs(kwargs))
+        if self.awaitable:
+            return await wrapped()
+
+        loop = asyncio.get_event_loop()
+        context = contextvars.copy_context()
+        wrapped = partial(context.run, wrapped)
+        return await loop.run_in_executor(None, wrapped)
+
+
+@dataclass
+class FilterObject(CallableObject):
+    magic: Optional[MagicFilter] = None
+
+    def __post_init__(self) -> None:
+        if isinstance(self.callback, OriginalMagicFilter):
+            # MagicFilter instance is callable but generates
+            # only "CallOperation" instead of applying the filter
+            self.magic = self.callback
+            self.callback = self.callback.resolve
+            if not isinstance(self.magic, MagicFilter):
+                # Issue: https://github.com/aiogram/aiogram/issues/990
+                warnings.warn(
+                    category=Recommendation,
+                    message="You are using F provided by magic_filter package directly, "
+                    "but it lacks `.as_()` extension."
+                    "\n Please change the import statement: from `from magic_filter import F` "
+                    "to `from aiogram import F` to silence this warning.",
+                    stacklevel=6,
+                )
+
+        super(FilterObject, self).__post_init__()
+
+        if isinstance(self.callback, Filter):
+            self.awaitable = True
+
+
+@dataclass
+class HandlerObject(CallableObject):
+    filters: Optional[List[FilterObject]] = None
+    flags: Dict[str, Any] = field(default_factory=dict)
+
+    def __post_init__(self) -> None:
+        super(HandlerObject, self).__post_init__()
+        callback = inspect.unwrap(self.callback)
+        if inspect.isclass(callback) and issubclass(callback, BaseHandler):
+            self.awaitable = True
+        self.flags.update(extract_flags_from_object(callback))
+
+    async def check(self, *args: Any, **kwargs: Any) -> Tuple[bool, Dict[str, Any]]:
+        if not self.filters:
+            return True, kwargs
+        for event_filter in self.filters:
+            check = await event_filter.call(*args, **kwargs)
+            if not check:
+                return False, kwargs
+            if isinstance(check, dict):
+                kwargs.update(check)
+        return True, kwargs