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Python 对修饰的可调用类的属性访问_Python_Decorator_Python Decorators_Exponential Backoff - Fatal编程技术网

Python 对修饰的可调用类的属性访问

Python 对修饰的可调用类的属性访问,python,decorator,python-decorators,exponential-backoff,Python,Decorator,Python Decorators,Exponential Backoff,我有一个可调用的类: class CallMeMaybe: __name__ = 'maybe' def __init__(self): self.n_calls = 0 def __call__(self): self.n_calls += 1 raise Exception 这似乎像广告宣传的那样奏效: >>> f = CallMeMaybe() >>> f.n_calls 0

我有一个可调用的类:

class CallMeMaybe:

    __name__ = 'maybe'

    def __init__(self):
        self.n_calls = 0

    def __call__(self):
        self.n_calls += 1
        raise Exception
这似乎像广告宣传的那样奏效:

>>> f = CallMeMaybe()
>>> f.n_calls
0
>>> for i in range(7):
...     try:
...         f()
...     except Exception:
...         pass
...     
>>> f.n_calls
7
我想用一个指数来装饰它:

现在看来属性访问已停止工作:

>>> f2.n_calls
0
>>> f2()
{'target': <__main__.CallMeMaybe object at 0xcafef00d>, 'args': (), 'kwargs': {}, 'tries': 1, 'elapsed': 2.1e-05, 'wait': 0.4843249208229148}
{'target': <__main__.CallMeMaybe object at 0xcafef00d>, 'args': (), 'kwargs': {}, 'tries': 2, 'elapsed': 0.484935, 'wait': 1.6524016553598126}
---------------------------------------------------------------------------
Exception                                 Traceback (most recent call last)
... blah blah blah
>>> f2.n_calls
0

回退
模块在其实现中调用
functools.update\u wrapper
,您可以看到,默认情况下,它会更新包装的
\u dict\u

WRAPPER_ASSIGNMENTS = ('__module__', '__name__', '__qualname__', '__doc__',
                       '__annotations__')
WRAPPER_UPDATES = ('__dict__',)
def update_wrapper(wrapper,
                   wrapped,
                   assigned = WRAPPER_ASSIGNMENTS,
                   updated = WRAPPER_UPDATES):
    """Update a wrapper function to look like the wrapped function

       wrapper is the function to be updated
       wrapped is the original function
       assigned is a tuple naming the attributes assigned directly
       from the wrapped function to the wrapper function (defaults to
       functools.WRAPPER_ASSIGNMENTS)
       updated is a tuple naming the attributes of the wrapper that
       are updated with the corresponding attribute from the wrapped
       function (defaults to functools.WRAPPER_UPDATES)
    """
    for attr in assigned:
        try:
            value = getattr(wrapped, attr)
        except AttributeError:
            pass
        else:
            setattr(wrapper, attr, value)
    for attr in updated:
        getattr(wrapper, attr).update(getattr(wrapped, attr, {}))
    +
−# Issue #17482: set __wrapped__ last so we don't inadvertently copy it
    # from the wrapped function when updating __dict__
    wrapper.__wrapped__ = wrapped
    # Return the wrapper so this can be used as a decorator via partial()
    return wrapper

def wraps(wrapped,
          assigned = WRAPPER_ASSIGNMENTS,
          updated = WRAPPER_UPDATES):
    """Decorator factory to apply update_wrapper() to a wrapper function

       Returns a decorator that invokes update_wrapper() with the decorated
       function as the wrapper argument and the arguments to wraps() as the
       remaining arguments. Default arguments are as for update_wrapper().
       This is a convenience function to simplify applying partial() to
       update_wrapper().
    """
    return partial(update_wrapper, wrapped=wrapped,
                   assigned=assigned, updated=updated)

不幸的是,似乎不可能实现你想要的。
回退
模块允许将可选的
分配的
/
更新的
属性列表传递到
包装
,以避免属性的复制。然而,这将真正解决问题,因为此时您将无法访问
n_调用

您可能需要使用可变对象,而不是普通的
int

>>> f2.__wrapped__.n_calls
3
WRAPPER_ASSIGNMENTS = ('__module__', '__name__', '__qualname__', '__doc__',
                       '__annotations__')
WRAPPER_UPDATES = ('__dict__',)
def update_wrapper(wrapper,
                   wrapped,
                   assigned = WRAPPER_ASSIGNMENTS,
                   updated = WRAPPER_UPDATES):
    """Update a wrapper function to look like the wrapped function

       wrapper is the function to be updated
       wrapped is the original function
       assigned is a tuple naming the attributes assigned directly
       from the wrapped function to the wrapper function (defaults to
       functools.WRAPPER_ASSIGNMENTS)
       updated is a tuple naming the attributes of the wrapper that
       are updated with the corresponding attribute from the wrapped
       function (defaults to functools.WRAPPER_UPDATES)
    """
    for attr in assigned:
        try:
            value = getattr(wrapped, attr)
        except AttributeError:
            pass
        else:
            setattr(wrapper, attr, value)
    for attr in updated:
        getattr(wrapper, attr).update(getattr(wrapped, attr, {}))
    +
−# Issue #17482: set __wrapped__ last so we don't inadvertently copy it
    # from the wrapped function when updating __dict__
    wrapper.__wrapped__ = wrapped
    # Return the wrapper so this can be used as a decorator via partial()
    return wrapper

def wraps(wrapped,
          assigned = WRAPPER_ASSIGNMENTS,
          updated = WRAPPER_UPDATES):
    """Decorator factory to apply update_wrapper() to a wrapper function

       Returns a decorator that invokes update_wrapper() with the decorated
       function as the wrapper argument and the arguments to wraps() as the
       remaining arguments. Default arguments are as for update_wrapper().
       This is a convenience function to simplify applying partial() to
       update_wrapper().
    """
    return partial(update_wrapper, wrapped=wrapped,
                   assigned=assigned, updated=updated)