Given a function:
def func(f1, kw=\'default\'):
pass
bare_argspec = inspect.getargspec(func)
@decorator
def func2(f1, kw=\'default\'):
pass
decorate
Michele Simionato's decorator module has a decorator called decorator which preserves function argspecs.
import inspect
import decorator
def func(f1, kw='default'):
pass
bare_argspec = inspect.getargspec(func)
print(bare_argspec)
# ArgSpec(args=['f1', 'kw'], varargs=None, keywords=None, defaults=('default',))
@decorator.decorator
def mydecorator(func,*args,**kw):
result=func(*args,**kw)
return result
@mydecorator
def func2(f1, kw='default'):
pass
decorated_argspec = inspect.getargspec(func2)
print(decorated_argspec)
# ArgSpec(args=['f1', 'kw'], varargs=None, keywords=None, defaults=('default',))
assert(bare_argspec==decorated_argspec)
Are functools.update_wrapper()
and/or functools.wraps()
good enough?
There's the decorator module:
from decorator import decorator
@decorator
def trace(func, *args, **kw):
print 'calling', func, 'with', args, kw
return func(*args, **kw)
That makes trace
a decorator with the same argspecs as the decorated function. Example:
>>> @trace
... def f(x, y=1, z=2, *args, **kw):
... pass
>>> f(0, 3)
calling f with (0, 3, 2), {}
>>> from inspect import getargspec
>>> print getargspec(f)
ArgSpec(args=['x', 'y', 'z'], varargs='args', keywords='kw', defaults=(1, 2))