Get function path and name as command line arguments and running it without knowing function's argument names: [duplicate]

Given the Python function:

def a_method(arg1, arg2):
    pass

How can I extract the number and names of the arguments. I.e., given that I have a reference to func, I want the func.[something] to return ("arg1", "arg2").

The usage scenario for this is that I have a decorator, and I wish to use the method arguments in the same order that they appear for the actual function as a key. I.e., how would the decorator look that printed "a,b" when I call a_method("a", "b")?

Solution 1:

Take a look at the inspect module - this will do the inspection of the various code object properties for you.

>>> inspect.getfullargspec(a_method)
(['arg1', 'arg2'], None, None, None)

The other results are the name of the *args and **kwargs variables, and the defaults provided. ie.

>>> def foo(a, b, c=4, *arglist, **keywords): pass
>>> inspect.getfullargspec(foo)
(['a', 'b', 'c'], 'arglist', 'keywords', (4,))

Note that some callables may not be introspectable in certain implementations of Python. For Example, in CPython, some built-in functions defined in C provide no metadata about their arguments. As a result, you will get a ValueError if you use inspect.getfullargspec() on a built-in function.

Since Python 3.3, you can use inspect.signature() to see the call signature of a callable object:

>>> inspect.signature(foo)
<Signature (a, b, c=4, *arglist, **keywords)>

Solution 2:

In CPython, the number of arguments is

a_method.func_code.co_argcount

and their names are in the beginning of

a_method.func_code.co_varnames

These are implementation details of CPython, so this probably does not work in other implementations of Python, such as IronPython and Jython.

One portable way to admit "pass-through" arguments is to define your function with the signature func(*args, **kwargs). This is used a lot in e.g. matplotlib, where the outer API layer passes lots of keyword arguments to the lower-level API.

Solution 3:

The Python 3 version is:

def _get_args_dict(fn, args, kwargs):
    args_names = fn.__code__.co_varnames[:fn.__code__.co_argcount]
    return {**dict(zip(args_names, args)), **kwargs}

The method returns a dictionary containing both args and kwargs.

Solution 4:

In a decorator method, you can list arguments of the original method in this way:

import inspect, itertools 

def my_decorator():

        def decorator(f):

            def wrapper(*args, **kwargs):

                # if you want arguments names as a list:
                args_name = inspect.getargspec(f)[0]
                print(args_name)

                # if you want names and values as a dictionary:
                args_dict = dict(itertools.izip(args_name, args))
                print(args_dict)

                # if you want values as a list:
                args_values = args_dict.values()
                print(args_values)

If the **kwargs are important for you, then it will be a bit complicated:

        def wrapper(*args, **kwargs):

            args_name = list(OrderedDict.fromkeys(inspect.getargspec(f)[0] + kwargs.keys()))
            args_dict = OrderedDict(list(itertools.izip(args_name, args)) + list(kwargs.iteritems()))
            args_values = args_dict.values()

Example:

@my_decorator()
def my_function(x, y, z=3):
    pass


my_function(1, y=2, z=3, w=0)
# prints:
# ['x', 'y', 'z', 'w']
# {'y': 2, 'x': 1, 'z': 3, 'w': 0}
# [1, 2, 3, 0]