我喜欢使用装饰器的想法，但我更喜欢避免触及函数参数。因此，我提供了另一种选择:

import functools

def withname(f):
    @functools.wraps(f)
    def wrapper(*args, **kwargs):
        global __name
        __saved_name = globals().get("__name")
        __name = f.__name__
        ret = f(*args, **kwargs)
        __name = __saved_name
        return ret
    return wrapper

@withname
def f():
    print(f"in f: __name=={__name}")
    g()
    print(f"back in f: __name=={__name}")

@withname
def g():
    print(f"in g: __name=={__name}")

由于__name是一个全局变量，所以在调用函数时需要保存和恢复__name。调用上面的f()会产生:

in f: __name==f
in g: __name==g
back in f: __name==f

不幸的是，如果我们不改变函数参数，就没有全局变量的替代品。引用一个不是在函数上下文中创建的变量，将生成寻找全局变量的代码:

>>> def f(): print(__function__)
>>> from dis import dis
>>> dis(f)
  1           0 LOAD_GLOBAL              0 (print)
              2 LOAD_GLOBAL              1 (__function__)
              4 CALL_FUNCTION            1
              6 POP_TOP
              8 LOAD_CONST               0 (None)
             10 RETURN_VALUE

@jeff-laughlin的回答很漂亮。我对它进行了轻微的修改，以达到我认为的目的:跟踪函数的执行，并捕获参数列表以及关键字参数。谢谢你@jeff-laughlin!

from functools import wraps                                                                                                                                                                                                     
import time                                                                                                                                                                                                                     
                                                                                                                                                                                                                                
def named(func):                                                                                                                                                                                                                
    @wraps(func)                                                                                                                                                                                                                
    def _(*args, **kwargs):                                                                                                                                                                                                     
        print(f"From wrapper function: Executing function named: {func.__name__}, with arguments: {args}, and keyword arguments: {kwargs}.")                                                                                    
        print(f"From wrapper function: {func}")                                                                                                                                                                                 
        start_time = time.time()                                                                                                                                                                                                
        return_value = func(*args, **kwargs)                                                                                                                                                                                    
        end_time = time.time()                                                                                                                                                                                                  
        elapsed_time = end_time - start_time                                                                                                                                                                                    
        print(f"From wrapper function: Execution of {func.__name__} took {elapsed_time} seconds.")                                                                                                                              
        return return_value                                                                                                                                                                                                     
    return _                                                                                                                                                                                                                    
                                                                                                                                                                                                                                
@named                                                                                                                                                                                                                          
def thanks(message, concepts, username='@jeff-laughlin'):                                                                                                                                                                       
    print(f"From inner function: {message} {username} for teaching me about the {concepts} concepts of closures and decorators!")                                                                                               
                                                                                                                                                                                                                                
thanks('Thank you', 'two', username='@jeff-laughlin')                                                                                                                                                                           
print('-'*80)                                                                                                                                                                                                                   
thanks('Thank you', 'two', username='stackoverflow')
print(thanks) 

From wrapper function: Executing function named: thanks, with arguments: ('Thank you', 'two'), and keyword arguments: {'username': '@jeff-laughlin'}. From wrapper function: <function thanks at 0x7f13e6ceaa60> From inner function: Thank you @jeff-laughlin for teaching me about the two concepts of closures and decorators! From wrapper function: Execution of thanks took 2.193450927734375e-05 seconds. -------------------------------------------------------------------------------- From wrapper function: Executing function named: thanks, with arguments: ('Thank you', 'two'), and keyword arguments: {'username': 'stackoverflow'}. From wrapper function: <function thanks at 0x7f13e6ceaa60> From inner function: Thank you stackoverflow for teaching me about the two concepts of closures and decorators! From wrapper function: Execution of thanks took 7.152557373046875e-06 seconds. <function thanks at 0x7f13e6ceaca0>

最让我惊讶的是，有一种方法可以在运行时拦截函数，检查它们，并基于此采取一些操作。另一件令人惊讶的事情是内部函数的内存地址两次都是相同的。有人知道这是为什么吗?在我能够理解这个装饰器/闭包魔法之前，我还有一段路要走。

你可以使用@Andreas Jung显示的方法获得它定义时的名称，但这可能不是调用函数时的名称:

import inspect

def Foo():
   print inspect.stack()[0][3]

Foo2 = Foo

>>> Foo()
Foo

>>> Foo2()
Foo

这种区别对你来说是否重要，我不能说。

Python没有在函数本身中访问函数或其名称的特性。它已经被提出，但被否决了。如果你不想自己玩堆栈，你应该使用“bar”或bar。__name__取决于上下文。

给定的拒绝通知为:

此PEP被拒绝。它不清楚应该如何实现，也不清楚在边缘情况下应该有什么精确的语义，而且没有给出足够重要的用例。人们的反应充其量也只是不温不火。

import inspect

def whoami():
    return inspect.stack()[1][3]

def whosdaddy():
    return inspect.stack()[2][3]

def foo():
    print "hello, I'm %s, daddy is %s" % (whoami(), whosdaddy())
    bar()

def bar():
    print "hello, I'm %s, daddy is %s" % (whoami(), whosdaddy())

foo()
bar()

在IDE中，代码输出

你好，我是foo，爸爸是 你好，我是bar，爸爸是foo 你好，我是bar，爸爸是

我建议不要依赖于堆栈元素。如果有人在不同的上下文中使用你的代码(例如python解释器)，你的堆栈将改变并破坏你的索引([0][3])。

我建议你这样做:

class MyClass:

    def __init__(self):
        self.function_name = None

    def _Handler(self, **kwargs):
        print('Calling function {} with parameters {}'.format(self.function_name, kwargs))
        self.function_name = None

    def __getattr__(self, attr):
        self.function_name = attr
        return self._Handler


mc = MyClass()
mc.test(FirstParam='my', SecondParam='test')
mc.foobar(OtherParam='foobar')