Set function signature in Python
Suppose I have a generic function f
. I want to programmatically create a function f2
that behaves the same as f
, but has a customized signature.
More detail
Given a list l
and and dictionary d
I want to be able to:
- Set the non-keyword arguments of
f2
to the strings inl
- Set the keyword arguments of
f2
to the keys ind
and the default values to the values ofd
ie. Suppose we have
l = ["x", "y"]
d = {"opt": None}
def f(*args, **kwargs):
# My code
Then I would want a function with signature:
def f2(x, y, opt=None):
# My code
A specific use case
This is just a simplified version of my specific use case. I am giving this as an example only.
My actual use case (simplified) is as follows. We have a generic initiation function:
def generic_init(self, *args, **kwargs):
"""Function to initiate a generic object"""
for name, arg in zip(self.__init_args__, args):
setattr(self, name, arg)
for name, default in self.__init_kw_args__.items():
if name in kwargs:
setattr(self, name, kwargs[name])
else:
setattr(self, name, default)
We want to use this function in a number of classes. In particular, we want to create a function __init__
that behaves like generic_init
, but has the signature defined by some class variables at creation time:
class my_class:
__init_args__ = ["x", "y"]
__kw_init_args__ = {"my_opt": None}
__init__ = create_initiation_function(my_class, generic_init)
setattr(myclass, "__init__", __init__)
We want create_initiation_function to create a new function with the signature defined using __init_args__
and __kw_init_args__
. Is it possible to write create_initiation_function
?
Please note:
- If I just wanted to improve the help, I could set
__doc__
. - We want to set the function signature on creation. After that, it doesn't need to be changed.
- Instead of creating a function like
generic_init
, but with a different signature we could create a new function with the desired signature that just callsgeneric_init
- We want to define
create_initiation_function
. We don't want to manually specify the new function!
Related
- Preserving signatures of decorated functions: This is how to preserve a signature when decorating a function. We need to be able to set the signature to an arbitrary value
From PEP-0362, there actually does appear to be a way to set the signature in py3.3+, using the fn.__signature__
attribute:
from inspect import signature
from functools import wraps
def shared_vars(*shared_args):
"""Decorator factory that defines shared variables that are
passed to every invocation of the function"""
def decorator(f):
@wraps(f)
def wrapper(*args, **kwargs):
full_args = shared_args + args
return f(*full_args, **kwargs)
# Override signature
sig = signature(f)
sig = sig.replace(parameters=tuple(sig.parameters.values())[1:])
wrapper.__signature__ = sig
return wrapper
return decorator
Then:
>>> @shared_vars({"myvar": "myval"})
>>> def example(_state, a, b, c):
>>> return _state, a, b, c
>>> example(1,2,3)
({'myvar': 'myval'}, 1, 2, 3)
>>> str(signature(example))
'(a, b, c)'
Note: the PEP is not exactly right; Signature.replace moved the params from a positional arg to a kw-only arg.
For your usecase, having a docstring in the class/function should work -- that will show up in help() okay, and can be set programmatically (func.__doc__ = "stuff").
I can't see any way of setting the actual signature. I would have thought the functools module would have done it if it was doable, but it doesn't, at least in py2.5 and py2.6.
You can also raise a TypeError exception if you get bad input.
Hmm, if you don't mind being truly vile, you can use compile()/eval() to do it. If your desired signature is specified by arglist=["foo","bar","baz"], and your actual function is f(*args, **kwargs), you can manage:
argstr = ", ".join(arglist)
fakefunc = "def func(%s):\n return real_func(%s)\n" % (argstr, argstr)
fakefunc_code = compile(fakefunc, "fakesource", "exec")
fakeglobals = {}
eval(fakefunc_code, {"real_func": f}, fakeglobals)
f_with_good_sig = fakeglobals["func"]
help(f) # f(*args, **kwargs)
help(f_with_good_sig) # func(foo, bar, baz)
Changing the docstring and func_name should get you a complete solution. But, uh, eww...
I wrote a package named forge
that solves this exact problem for Python 3.5+:
With your current code looking like this:
l=["x", "y"]
d={"opt":None}
def f(*args, **kwargs):
#My code
And your desired code looking like this:
def f2(x, y, opt=None):
#My code
Here is how you would solve that using forge
:
f2 = forge.sign(
forge.arg('x'),
forge.arg('y'),
forge.arg('opt', default=None),
)(f)
As forge.sign
is a wrapper, you could also use it directly:
@forge.sign(
forge.arg('x'),
forge.arg('y'),
forge.arg('opt', default=None),
)
def func(*args, **kwargs):
# signature becomes: func(x, y, opt=None)
return (args, kwargs)
assert func(1, 2) == ((), {'x': 1, 'y': 2, 'opt': None})