ContextDecorator documentation is unclear.
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Description
Bug report
Bug description:
Overview:
ContextDecorator can not be safely used on functions that make recursive calls, or may be used with multithreading, even if those context managers support use in sequential with statements. The documentation suggests otherwise, and could be clarified. Additionally, this functionality could be added via a class method.
Detailed description
The documentation for ContextDecorator states:
This change is just syntactic sugar for any construct of the following form:
def f(): with cm(): # Do stuffContextDecorator lets you instead write:
@cm() def f(): # Do stuff
However, ContextDecorator is closer in functionality to the following:
cm = cm()
def f():
with cm:
# Do stuff
The documentation does contain the following warning. However, the wording could be more clear, especially given the syntactic sugar example.
Note As the decorated function must be able to be called multiple times, the underlying context manager must support use in multiple with statements. If this is not the case, then the original construct with the explicit with statement inside the function should be used.
Repro Code
This code demonstrates the issue:
import contextlib
import time
class timed(contextlib.ContextDecorator):
def __enter__(self):
self._start_time = time.monotonic()
def __exit__(self, *exc):
print(f"Execution took {time.monotonic() - self._start_time:.0f} seconds")
@timed()
def my_func(recurse_once = False):
time.sleep(1)
if recurse_once:
my_func()
my_func(recurse_once = True)
Expected output:
Execution took 1 seconds
Execution took 2 seconds
Actual output:
Execution took 1 seconds
Execution took 1 seconds
Potential fixes
Implementing one or more of these fixes could alleviate the issue.
1. Clarify the syntactic sugar section to show that all function invocations share a single instance of CM.
The "syntactic sugar" section could be changed to read:
ContextDecorator lets you instead write:
@cm() def f(): # Do stuffWhich is equivalent to:
cm = cm() def f(): with cm: # Do stuff
2. Clarify the warning note
The warning note could be changed to make it more clear that separate functions share state in the context manager.
Note The underlying context manager is instantiated once when the function definition is evaluated: this instance is shared between all calls to the function. As the decorated function must be able to be called multiple times, the underlying context manager must support use in multiple with statements. If this is not the case, then the original construct with the explicit with statement inside the function should be used.
3. Provide a method for wrapping functions with stateful context managers
For example:
def wrap_with_context(cm_factory, *cm_args, **cm_kwargs):
"""Wraps the decorated function with a context created by cm_factory."""
def wrap(func):
@functools.wraps(func)
def inner(*func_args, **func_kwargs):
with cm_factory(*cm_args, **cm_kwargs):
return func(*func_args, **func_kwargs)
return inner
return wrap
The previous example now works as expected:
@wrap_with_context(timed)
def my_func2(recurse_once = False):
time.sleep(1)
if recurse_once:
my_func2()
my_func2(recurse_once = True)
Actual output:
Execution took 1 seconds
Execution took 2 seconds
4. Add class method to ContextDecorator that acts as a decorator and a factory.
class ContextDecorator:
...
@classmethod
def wrap(cls, *cls_args, **cls_kwargs):
def enclose(func):
@functools.wraps(func)
def inner(*args, **kwds):
with cls(*cls_args, **cls_kwargs):
return func(*args, **kwds)
return inner
return enclose
This allows usage that is similar to existing, but instantiates a separate CM for each function invocation:
@timed.wrap()
def my_func2(recurse_once = False):
time.sleep(1)
if recurse_once:
my_func2()
CPython versions tested on:
3.13
Operating systems tested on:
macOS
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Piste de recherche
Commencez par la section ContextDecorator de la documentation Python liée, en particulier par l’exemple de sucre syntaxique et la note d’avertissement. Précisez qu’une seule instance sous-jacente de gestionnaire de contexte est partagée entre les appels de fonction et expliquez quand une instruction with explicite est nécessaire ; la documentation révisée doit décrire correctement l’utilisation récursive et concurrente.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- python
- Domaine
- documentation
- Type d'issue
- Documentation
- Difficulté
- 2/5
- Temps estimé
- 1-3 heures
- Activité
- À l'abandon
- Clarté
- Plutôt claire
- Accessibilité débutants
- 45/100