Wrapping a class's method in a "boilerplate" Python decorator will treat that method as a regular function and make it lose its __self__
attribute that refers to the class instance object. Can this be avoided?
Take the following class:
class MyClass(object):
def __init__(self, a=1, b=2):
self.a = a
self.b = b
def meth(self):
pass
If meth()
is undecorated, MyClass().meth.__self__
refers to an instance method and enables something like setattr(my_class_object.meth.__self__, 'a', 5)
.
But when wrapping anything in a decorator, only the function object is passed; the object to which it is actually bound is not passed on along with it. (See this answer.)
import functools
def decorate(method):
@functools.wraps(method)
def wrapper(*args, **kwargs):
# Do something to method.__self__ such as setattr
print(hasattr(method, '__self__'))
result = method(*args, **kwargs)
return result
return wrapper
class MyClass(object):
def __init__(self, a=1, b=2):
self.a = a
self.b = b
@decorate
def meth(self):
pass
MyClass().meth()
# False <--------
Can this be overriden?
Your main misunderstanding here is order of operation.
When the decorate()
decorator is called, meth()
is not a method yet - it is still a function - it is only when the class
block is over that meth
is transformed into a method by the metaclass descriptors! - that's why it doesn't have __self__
(yet).
In other words, to decorate methods you have to ignore the fact that they are methods and treat them as normal functions - because that's what they are when the decorator is called.
In fact, the original meth
function will never turn into a method - instead the function wrapper
you returned from the decorator will be part of the class and will be the one that will get the __self__
attribute later.
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