This is not perfect as mypy at least doesn't consider e.g. subclasses of the property decorator class to behave the same way, but it's as good as we can get without introducing a mypy plugin. Signed-off-by: Stephen Finucane <stephenfin@redhat.com> Change-Id: Ia0c4110218ce8a48c3ec5e720f07e45fc2b831bf
190 lines
6.2 KiB
Python
190 lines
6.2 KiB
Python
# Copyright (C) 2015 Yahoo! Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from __future__ import annotations
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import builtins
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from collections.abc import Callable
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import functools
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import inspect
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import types
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from typing import Any
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import warnings
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# See https://docs.python.org/3/library/builtins.html
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_BUILTIN_MODULES = ('builtins', 'exceptions')
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_enabled = True
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def deprecation(
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message: str,
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stacklevel: int | None = None,
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category: type[Warning] | None = None,
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) -> None:
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"""Warns about some type of deprecation that has been (or will be) made.
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This helper function makes it easier to interact with the warnings module
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by standardizing the arguments that the warning function receives so that
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it is easier to use.
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This should be used to emit warnings to users (users can easily turn these
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warnings off/on, see https://docs.python.org/2/library/warnings.html
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as they see fit so that the messages do not fill up the users logs with
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warnings that they do not wish to see in production) about functions,
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methods, attributes or other code that is deprecated and will be removed
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in a future release (this is done using these warnings to avoid breaking
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existing users of those functions, methods, code; which a library should
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avoid doing by always giving at *least* N + 1 release for users to address
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the deprecation warnings).
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"""
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if not _enabled:
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return None
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if category is None:
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category = DeprecationWarning
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if stacklevel is None:
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warnings.warn(message, category=category)
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else:
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warnings.warn(message, category=category, stacklevel=stacklevel)
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return None
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def get_qualified_name(
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obj: Callable[..., Any] | types.ModuleType | builtins.function,
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) -> tuple[bool, str]:
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# Prefer the py3.x name (if we can get at it...)
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try:
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return (True, obj.__qualname__)
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except AttributeError:
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return (False, obj.__name__)
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def generate_message(
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prefix: str,
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postfix: str | None = None,
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message: str | None = None,
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version: str | None = None,
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removal_version: str | None = None,
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) -> str:
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"""Helper to generate a common message 'style' for deprecation helpers."""
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message_components = [prefix]
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if version:
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message_components.append(f" in version '{version}'")
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if removal_version:
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if removal_version == "?":
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message_components.append(
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" and will be removed in a future version"
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)
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else:
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message_components.append(
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f" and will be removed in version '{removal_version}'"
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)
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if postfix:
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message_components.append(postfix)
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if message:
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message_components.append(f": {message}")
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return ''.join(message_components)
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def get_assigned(decorator: Any) -> tuple[str, ...]:
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"""Helper to fix/workaround https://bugs.python.org/issue3445"""
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return functools.WRAPPER_ASSIGNMENTS
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def get_class_name(
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obj: type[Any] | Callable[..., Any],
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fully_qualified: bool = True,
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) -> str:
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"""Get class name for object.
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If object is a type, fully qualified name of the type is returned.
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Else, fully qualified name of the type of the object is returned.
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For builtin types, just name is returned.
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"""
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if not isinstance(obj, type):
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obj = type(obj)
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try:
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built_in = obj.__module__ in _BUILTIN_MODULES
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except AttributeError:
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pass
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else:
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if built_in:
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return obj.__name__
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if fully_qualified and hasattr(obj, '__module__'):
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return f'{obj.__module__}.{obj.__name__}'
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else:
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return obj.__name__
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def get_method_self(method: Any) -> Any:
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"""Gets the ``self`` object attached to this method (or none)."""
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if not inspect.ismethod(method):
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return None
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try:
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return getattr(method, '__self__')
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except AttributeError:
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return None
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def get_callable_name(function: Callable[..., Any]) -> str:
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"""Generate a name from callable.
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Tries to do the best to guess fully qualified callable name.
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"""
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parts: tuple[str, str] | tuple[str, str, str]
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method_self = get_method_self(function)
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if method_self is not None:
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# This is a bound method.
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if isinstance(method_self, type):
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# This is a bound class method.
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im_class = method_self
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else:
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im_class = type(method_self)
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try:
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parts = (im_class.__module__, function.__qualname__)
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except AttributeError:
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parts = (im_class.__module__, im_class.__name__, function.__name__)
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elif inspect.ismethod(function) or inspect.isfunction(function):
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# This could be a function, a static method, a unbound method...
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try:
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parts = (function.__module__, function.__qualname__)
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except AttributeError:
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if hasattr(function, 'im_class'):
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# This is a unbound method, which exists only in python 2.x
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im_class = function.im_class
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parts = (
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im_class.__module__,
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im_class.__name__,
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function.__name__,
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)
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else:
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parts = (function.__module__, function.__name__)
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else:
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if type(function) is type:
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im_class = function
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else:
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im_class = type(function)
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try:
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parts = (im_class.__module__, im_class.__qualname__)
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except AttributeError:
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parts = (im_class.__module__, im_class.__name__)
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# When running under sphinx it appears this can be none? if so just
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# don't include it...
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mod, rest = (parts[0], parts[1:])
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if not mod:
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return '.'.join(rest)
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else:
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return '.'.join(parts)
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