I'm having a hard time understanding what happens when I try to nest descriptors/decorators. I'm using python 2.7.
For example, let's take the following simplified versions of property
and classmethod
:
class MyProperty(object):
def __init__(self, fget):
self.fget = fget
def __get__(self, obj, objtype=None):
print 'IN MyProperty.__get__'
return self.fget(obj)
class MyClassMethod(object):
def __init__(self, f):
self.f = f
def __get__(self, obj, objtype=None):
print 'IN MyClassMethod.__get__'
def f(*args, **kwargs):
return self.f(objtype, *args, **kwargs)
return f
Trying to nest them:
class A(object):
# doesn't work:
@MyProperty
@MyClassMethod
def klsproperty(cls):
return 555
# works:
@MyProperty
def prop(self):
return 111
# works:
@MyClassMethod
def klsmethod(cls, x):
return x**2
% print A.klsproperty
IN MyProperty.__get__
...
TypeError: 'MyClassMethod' object is not callable
The __get__
method of the inner descriptor MyClassMethod
is not getting called.
Failing to figure out why, I tried throwing in (what I think is) a no-op descriptor:
class NoopDescriptor(object):
def __init__(self, f):
self.f = f
def __get__(self, obj, objtype=None):
print 'IN NoopDescriptor.__get__'
return self.f.__get__(obj, objtype=objtype)
Trying to use the no-op descriptor/decorator in nesting:
class B(object):
# works:
@NoopDescriptor
@MyProperty
def prop1(self):
return 888
# doesn't work:
@MyProperty
@NoopDescriptor
def prop2(self):
return 999
% print B().prop1
IN NoopDescriptor.__get__
IN MyProperty.__get__
888
% print B().prop2
IN MyProperty.__get__
...
TypeError: 'NoopDescriptor' object is not callable
I don't understand why B().prop1
works and B().prop2
does not.
Questions:
object is not callable
error?MyClassProperty
while re-using MyClassMethod
and MyProperty
(or classmethod
and property
)A decorator is a design pattern in Python that allows a user to add new functionality to an existing object without modifying its structure. Decorators are usually called before the definition of a function you want to decorate.
Nesting means placing or storing inside the other. Therefore, Nested Decorators means applying more than one decorator inside a function. Python allows us to implement more than one decorator to a function. It makes decorators useful for reusable building blocks as it accumulates the several effects together.
You'll use a decorator when you need to change the behavior of a function without modifying the function itself. A few good examples are when you want to add logging, test performance, perform caching, verify permissions, and so on. You can also use one when you need to run the same code on multiple functions.
@property decorator is a built-in decorator in Python which is helpful in defining the properties effortlessly without manually calling the inbuilt function property(). Which is used to return the property attributes of a class from the stated getter, setter and deleter as parameters.
In this case, when the decorators are used without parameters, a decorator is called with the function it decorates as its parameter. The decorator's return value is used instead of the decorated function. So:
@MyProperty
def prop(self):
...
is equivalent to:
def prop(self):
...
prop = MyProperty(prop)
Since MyProperty
implements the descriptor protocol, accessing A.prop
will actually call A.prop.__get__()
, and you've defined __get__
to call the object which was decorated (in this case, the original function/method), so everything works fine.
Now, in the nested case:
@MyProperty
@MyClassMethod
def prop(self):
...
The equivalent is:
def prop(self):
...
prop = MyClassMethod(prop) # prop is now instance of MyClassMethod
prop = MyProperty(prop) # prop is now instance of MyProperty
# (with fget == MyClassMethod instance)
Now, as before, accessing A.prop
will actually call A.prop.__get__()
(in MyProperty
) which then tries to call the instance of MyClassMethod
(the object which was decorated and stored in the fget
attribute).
But the MyClassMethod
does not have a __call__
method defined, so you get the error MyClassMethod is not callable
.
And to address your second question: A property is already a class attribute - in your example, accessing A.prop
will return the value of the property in the class object and A().prop
will return the value of the property in an instance object (which can be the same as the class object if the instance did not override it).
You can make your code work if you make MyProperty
apply the descriptor protocol to its wrapped object:
class MyProperty(object):
def __init__(self, fget):
self.fget = fget
def __get__(self, obj, objtype=None):
print('IN MyProperty.__get__')
try:
return self.fget.__get__(obj, objtype)()
except AttributeError: # self.fget has no __get__ method
return self.fget(obj)
Now your example code works:
class A(object):
@MyProperty
@MyClassMethod
def klsproperty(cls):
return 555
print(A.klsproperty)
The output is:
IN MyProperty.__get__
IN MyClassMethod.__get__
555
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