从该函数中确定函数名称（不使用回溯）

In Python, without using the traceback module, is there a way to determine a function’s name from within that function?

Say I have a module foo with a function bar. When executing foo.bar(), is there a way for bar to know bar’s name? Or better yet, foo.bar‘s name?

#foo.py  
def bar():
    print "my name is", __myname__ # <== how do I calculate this at runtime?

Python doesn’t have a feature to access the function or its name within the function itself. It has been proposed but rejected. If you don’t want to play with the stack yourself, you should either use "bar" or bar.__name__ depending on context.

The given rejection notice is:

This PEP is rejected. It is not clear how it should be implemented or what the precise semantics should be in edge cases, and there aren’t enough important use cases given. response has been lukewarm at best.

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

There are a few ways to get the same result:

from __future__ import print_function
import sys
import inspect

def what_is_my_name():
    print(inspect.stack()[0][0].f_code.co_name)
    print(inspect.stack()[0][3])
    print(inspect.currentframe().f_code.co_name)
    print(sys._getframe().f_code.co_name)

Note that the inspect.stack calls are thousands of times slower than the alternatives:

$ python -m timeit -s 'import inspect, sys' 'inspect.stack()[0][0].f_code.co_name'
1000 loops, best of 3: 499 usec per loop
$ python -m timeit -s 'import inspect, sys' 'inspect.stack()[0][3]'
1000 loops, best of 3: 497 usec per loop
$ python -m timeit -s 'import inspect, sys' 'inspect.currentframe().f_code.co_name'
10000000 loops, best of 3: 0.1 usec per loop
$ python -m timeit -s 'import inspect, sys' 'sys._getframe().f_code.co_name'
10000000 loops, best of 3: 0.135 usec per loop

You can get the name that it was defined with using the approach that @Andreas Jung shows, but that may not be the name that the function was called with:

import inspect

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

Foo2 = Foo

>>> Foo()
Foo

>>> Foo2()
Foo

Whether that distinction is important to you or not I can’t say.

functionNameAsString = sys._getframe().f_code.co_name

I wanted a very similar thing because I wanted to put the function name in a log string that went in a number of places in my code. Probably not the best way to do that, but here’s a way to get the name of the current function.

I keep this handy utility nearby:

import inspect
myself = lambda: inspect.stack()[1][3]

Usage:

myself()

I guess inspect is the best way to do this. For example:

import inspect
def bar():
    print("My name is", inspect.stack()[0][3])

I found a wrapper that will write the function name

from functools import wraps

def tmp_wrap(func):
    @wraps(func)
    def tmp(*args, **kwargs):
        print func.__name__
        return func(*args, **kwargs)
    return tmp

@tmp_wrap
def my_funky_name():
    print "STUB"

my_funky_name()

This will print

my_funky_name

STUB

This is actually derived from the other answers to the question.

Here’s my take:

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

The likely advantage of this version over using inspect.stack() is that it should be thousands of times faster [see Alex Melihoff’s post and timings regarding using sys._getframe() versus using inspect.stack() ].

print(inspect.stack()[0].function) seems to work too (Python 3.5).

Here’s a future-proof approach.

Combining @CamHart’s and @Yuval’s suggestions with @RoshOxymoron’s accepted answer has the benefit of avoiding:

• _hidden and potentially deprecated methods
• indexing into the stack (which could be reordered in future pythons)

So I think this plays nice with future python versions (tested on 2.7.3 and 3.3.2):

from __future__ import print_function
import inspect

def bar():
    print("my name is '{}'".format(inspect.currentframe().f_code.co_name))

import sys

def func_name():
    """
    :return: name of caller
    """
    return sys._getframe(1).f_code.co_name

class A(object):
    def __init__(self):
        pass
    def test_class_func_name(self):
        print(func_name())

def test_func_name():
    print(func_name())

Test:

a = A()
a.test_class_func_name()
test_func_name()

Output:

test_class_func_name
test_func_name

I am not sure why people make it complicated:

import sys 
print("%s/%s" %(sys._getframe().f_code.co_filename, sys._getframe().f_code.co_name))

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()

In IDE the code outputs

hello, I’m foo, daddy is

hello, I’m bar, daddy is foo

hello, I’m bar, daddy is

You can use a decorator:

def my_function(name=None):
    return name

def get_function_name(function):
    return function(name=function.__name__)

>>> get_function_name(my_function)
'my_function'

I do my own approach used for calling super with safety inside multiple inheritance scenario (I put all the code)

def safe_super(_class, _inst):
    """safe super call"""
    try:
        return getattr(super(_class, _inst), _inst.__fname__)
    except:
        return (lambda *x,**kx: None)


def with_name(function):
    def wrap(self, *args, **kwargs):
        self.__fname__ = function.__name__
        return function(self, *args, **kwargs)
return wrap

sample usage:

class A(object):

    def __init__():
        super(A, self).__init__()

    @with_name
    def test(self):
        print 'called from A\n'
        safe_super(A, self)()

class B(object):

    def __init__():
        super(B, self).__init__()

    @with_name
    def test(self):
        print 'called from B\n'
        safe_super(B, self)()

class C(A, B):

    def __init__():
        super(C, self).__init__()

    @with_name
    def test(self):
        print 'called from C\n'
        safe_super(C, self)()

testing it :

a = C()
a.test()

output:

called from C
called from A
called from B

Inside each @with_name decorated method you have access to self.__fname__ as the current function name.

I recently tried to use the above answers to access the docstring of a function from the context of that function but as the above questions were only returning the name string it did not work.

Fortunately I found a simple solution. If like me, you want to refer to the function rather than simply get the string representing the name you can apply eval() to the string of the function name.

import sys
def foo():
    """foo docstring"""
    print(eval(sys._getframe().f_code.co_name).__doc__)

I suggest not to rely on stack elements. If someone use your code within different contexts (python interpreter for instance) your stack will change and break your index ([0][3]).

I suggest you something like that:

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')

This is pretty easy to accomplish with a decorator.

>>> from functools import wraps

>>> def named(func):
...     @wraps(func)
...     def _(*args, **kwargs):
...         return func(func.__name__, *args, **kwargs)
...     return _
... 

>>> @named
... def my_func(name, something_else):
...     return name, something_else
... 

>>> my_func('hello, world')
('my_func', 'hello, world')