Question

是否可以链接元类？

我有一个Model类，它使用__metaclass__=ModelBase来处理它的命名空间dict。我将继承它并“绑定”另一个元类，因此它不会遮蔽原始元类。

第一种方法是继承class MyModelBase(ModelBase)：

MyModel(Model):
    __metaclass__ = MyModelBase # inherits from `ModelBase`

但是有没有可能只是像mixin一样链接它们而没有明确的子类化？像

这样的东西

class MyModel(Model):
    __metaclass__ = (MyMixin, super(Model).__metaclass__)

......甚至更好：创建一个MixIn，它将使用来自使用它的类的直接父级的__metaclass__：

class MyModel(Model):
    __metaclass__ = MyMetaMixin, # Automagically uses `Model.__metaclass__`

原因：为了更灵活地扩展现有应用程序，我想创建一个全局机制，用于挂钩Django中Model，Form，......定义的过程，以便可以更改在运行时。

一种常见的机制比使用回调mixin实现多个元类要好得多。

在你的帮助下，我终于找到了一个解决方案：元类MetaProxy。

这个想法是：创建一个调用回调的元类来修改正在创建的类的名称空间，然后，在__new__的帮助下，变异为其中一个父类的元类

#!/usr/bin/env python
#-*- coding: utf-8 -*-

# Magical metaclass
class MetaProxy(type):
    """ Decorate the class being created & preserve __metaclass__ of the parent

        It executes two callbacks: before & after creation of a class, 
        that allows you to decorate them.

        Between two callbacks, it tries to locate any `__metaclass__` 
        in the parents (sorted in MRO). 
        If found — with the help of `__new__` method it
        mutates to the found base metaclass. 
        If not found — it just instantiates the given class.
        """

    @classmethod
    def pre_new(cls, name, bases, attrs):
        """ Decorate a class before creation """
        return (name, bases, attrs)

    @classmethod
    def post_new(cls, newclass):
        """ Decorate a class after creation """
        return newclass

    @classmethod
    def _mrobases(cls, bases):
        """ Expand tuple of base-classes ``bases`` in MRO """
        mrobases = []
        for base in bases:
            if base is not None: # We don't like `None` :)
                mrobases.extend(base.mro())
        return mrobases

    @classmethod
    def _find_parent_metaclass(cls, mrobases):
        """ Find any __metaclass__ callable in ``mrobases`` """
        for base in mrobases:
            if hasattr(base, '__metaclass__'):
                metacls = base.__metaclass__
                if metacls and not issubclass(metacls, cls): # don't call self again
                    return metacls#(name, bases, attrs)
        # Not found: use `type`
        return lambda name,bases,attrs: type.__new__(type, name, bases, attrs)

    def __new__(cls, name, bases, attrs):
        mrobases = cls._mrobases(bases)
        name, bases, attrs = cls.pre_new(name, bases, attrs) # Decorate, pre-creation
        newclass = cls._find_parent_metaclass(mrobases)(name, bases, attrs)
        return cls.post_new(newclass) # Decorate, post-creation



# Testing
if __name__ == '__main__':
    # Original classes. We won't touch them
    class ModelMeta(type):
        def __new__(cls, name, bases, attrs):
            attrs['parentmeta'] = name
            return super(ModelMeta, cls).__new__(cls, name, bases, attrs)

    class Model(object):
        __metaclass__ = ModelMeta
        # Try to subclass me but don't forget about `ModelMeta`

    # Decorator metaclass
    class MyMeta(MetaProxy):
        """ Decorate a class

            Being a subclass of `MetaProxyDecorator`,
                it will call base metaclasses after decorating
            """
        @classmethod
        def pre_new(cls, name, bases, attrs):
            """ Set `washere` to classname """
            attrs['washere'] = name
            return super(MyMeta, cls).pre_new(name, bases, attrs)

        @classmethod
        def post_new(cls, newclass):
            """ Append '!' to `.washere` """
            newclass.washere += '!'
            return super(MyMeta, cls).post_new(newclass)

    # Here goes the inheritance...
    class MyModel(Model):
        __metaclass__ = MyMeta
        a=1
    class MyNewModel(MyModel):
        __metaclass__ = MyMeta # Still have to declare it: __metaclass__ do not inherit
        a=2
    class MyNewNewModel(MyNewModel):
        # Will use the original ModelMeta
        a=3

    class A(object):
        __metaclass__ = MyMeta # No __metaclass__ in parents: just instantiate
        a=4
    class B(A): 
        pass # MyMeta is not called until specified explicitly



    # Make sure we did everything right
    assert MyModel.a == 1
    assert MyNewModel.a == 2
    assert MyNewNewModel.a == 3
    assert A.a == 4

    # Make sure callback() worked
    assert hasattr(MyModel, 'washere')
    assert hasattr(MyNewModel, 'washere')
    assert hasattr(MyNewNewModel, 'washere') # inherited
    assert hasattr(A, 'washere')

    assert MyModel.washere == 'MyModel!'
    assert MyNewModel.washere == 'MyNewModel!'
    assert MyNewNewModel.washere == 'MyNewModel!' # inherited, so unchanged
    assert A.washere == 'A!'

Answer 1

一个类型只能有一个元类，因为元类只是简单地说明了类语句的作用 - 拥有多个元类是没有意义的。出于同样的原因，“链接”没有任何意义：第一个元类创建了类型，那么第二个应该做什么？

您必须合并两个元类（就像任何其他类一样）。但这可能很棘手，特别是如果你真的不知道他们做了什么。

class MyModelBase(type):
    def __new__(cls, name, bases, attr):
        attr['MyModelBase'] = 'was here'
        return type.__new__(cls,name, bases, attr)

class MyMixin(type):
    def __new__(cls, name, bases, attr):
        attr['MyMixin'] = 'was here'
        return type.__new__(cls, name, bases, attr)

class ChainedMeta(MyModelBase, MyMixin):
    def __init__(cls, name, bases, attr):
        # call both parents
        MyModelBase.__init__(cls,name, bases, attr)
        MyMixin.__init__(cls,name, bases, attr)

    def __new__(cls, name, bases, attr):
        # so, how is the new type supposed to look?
        # maybe create the first
        t1 = MyModelBase.__new__(cls, name, bases, attr)
        # and pass it's data on to the next?
        name = t1.__name__
        bases = tuple(t1.mro())
        attr = t1.__dict__.copy()
        t2 = MyMixin.__new__(cls, name, bases, attr)
        return t2

class Model(object):
    __metaclass__ = MyModelBase # inherits from `ModelBase`

class MyModel(Model):
    __metaclass__ = ChainedMeta

print MyModel.MyModelBase
print MyModel.MyMixin

正如您所看到的，这已经涉及一些猜测，因为您并不真正知道其他元类的功能。如果两个元类都非常简单，那么可能可以工作，但我不会对这样的解决方案有太多的信心。

为合并多个碱基的元类编写元类是留给读者的练习;-P

Answer 2

我不知道“混合”元类的任何方法，但你可以像普通类一样继承和覆盖它们。

说我有一个BaseModel：

class BaseModel(object):
    __metaclass__ = Blah

现在你想在一个名为MyModel的新类中继承它，但是你想在元类中插入一些额外的功能，但是原来的功能保持不变。要做到这一点，你会做类似的事情：

class MyModelMetaClass(BaseModel.__metaclass__):
    def __init__(cls, *args, **kwargs):
        do_custom_stuff()
        super(MyModelMetaClass, cls).__init__(*args, **kwargs)
        do_more_custom_stuff()

class MyModel(BaseModel):
    __metaclass__ = MyModelMetaClass

Answer 3

我认为你不能像那样把它们联系起来，而且我也不知道它是如何起作用的。

但是你可以在运行时创建新的元类并使用它们。但这是一个可怕的黑客。：）

zope.interface做了类似的事情，它有一个顾问程序元类，它只会在构造后对类做一些事情。如果已经存在一个元类，那么它将要做的事情之一就是将先前的元类设置为元类一旦完成。

（但是，除非必须这样做，否则请避免做这些事情，或者认为这很有趣。）

Answer 4

在@jochenritzel的回答中，以下内容简化了合并步骤：

def combine_classes(*args):
    name = "".join(a.__name__ for a in args)
    return type(name, args, {})


class ABCSomething(object, metaclass=combine_classes(SomethingMeta, ABCMeta)):
    pass

此处，type(name, bases, dict)的工作方式类似于动态class语句（请参见docs）。令人惊讶的是，似乎没有办法使用dict参数在第二步中设置metaclass。否则，可以将整个过程简化为一个函数调用。

Metaclass Mixin或Chaining？

4 个答案: