@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。

这实际上是由这个问题的其他答案推导出来的。

以下是我的看法:

import sys

# for current func name, specify 0 or no argument.
# for name of caller of current func, specify 1.
# for name of caller of caller of current func, specify 2. etc.
currentFuncName = lambda n=0: sys._getframe(n + 1).f_code.co_name


def testFunction():
    print "You are in function:", currentFuncName()
    print "This function's caller was:", currentFuncName(1)    


def invokeTest():
    testFunction()


invokeTest()

# end of file

与使用inspect.stack()相比，这个版本可能的优势是它应该快数千倍[参见Alex Melihoff关于使用sys._getframe()与使用inspect.stack()的文章和计时]。

.f_back.f_code Sincesys._getframe()。Co_name在python 3.9中根本不起作用，下面可以从现在开始使用:

from inspect import currentframe


def testNameFunction() -> str:
    return currentframe().f_back.f_code.co_name


print(f'function name is {testNameFunction()}(...)')

结果:

function name is testNameFunction(...)

import inspect

def foo():
   print(inspect.stack()[0][3])
   print(inspect.stack()[1][3])  # will give the caller of foos name, if something called foo

foo()

输出:

喷火 < module_caller_of_foo >

functionNameAsString = sys._getframe().f_code.co_name

我想要一个非常相似的东西，因为我想把函数名放在一个log字符串中，在我的代码中有很多地方。可能不是最好的方法，但这里有一种获取当前函数名称的方法。

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')