Metaclasses are a very powerful tool in Python. You can control the entire class creation process with them.
Most of the time, however, they are too powerful. This module helps you to use some of the advantages of metaclasses, without having to know all the details. It defines a base class SubclassInit. Inheriting from this class one can modify the subclass creation process.
A very common usecase for a metaclass is that you just want to execute
some code after a class is created. This can easily done with
SubclassInit
. You just define a method __init_subclass__
,
which is implicitly considered a @classmethod
and
will be called after each subclass that is generated of your
class. As a parameter it gets the namespace of the class. An example
is a simple subclass registration:
class Register(SubclassInit): subclasses = [] def __subclass_init__(cls, ns, **kwargs): super().__subclass_init__(ns, **kwargs) Register.subclasses.append(cls)
Note how you can add keyword arguments. Those are the keyword arguments given on the class definition line, as in:
class Subclass(Base, spam="ham"): pass
Don't forget to properly call super()
! Other classes may want to
initialize subclasses as well. This is also why you should pass over
the keyword arguments, just taking out the ones you need.
Descriptors are a powerful technique to create object attributes which
calculate their value on-the-fly. A property is a simple example of such
a descriptor. There is a common problem with those descriptors: they
do not know their name. Using SubclassInit
you can add an
__init_descriptor__
method to a descriptor which gets called once the
class is ready and the descriptor's name is known.
As an example, we can define a descriptor which makes an attribute a weak reference:
import weakref class WeakAttribute: def __get__(self, instance, owner): return instance.__dict__[self.name]() def __set__(self, instance, value): instance.__dict__[self.name] = weakref.ref(value) def __init_descriptor__(self, owner, name): self.name = name
Sometimes one is interested in which order the attributes were defined
in the class. SubclassInit
leaves a tuple with all the names of the
attributes in the order they were defined as a class attribute called
__attribute_order__
. Note that Python already defines some class
attributes, like __module__
, some of which also show up in this
tuple.
As an example:
class AttributeOrder(SubclassInit): a = 1 def b(self): pass c = 5 assert AttributeOrder.__attribute_order__ == \ ('__module__', '__qualname__', 'a', 'b', 'c')