Python, 这一个缓存装饰器, 其执行流程是怎样的?

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问题描述

问 题

2017/2/6

描述

比如, 考虑这样一段代码, 它的执行流程是怎样的呢 ?

class Foo(object):
    @cached_property
    def foo(self):
        # calculate something important here
        return 42
        
f = Foo()
f.foo

f.foo   

相关代码

  • 以class为基础的缓存装饰器

class cached_property(property):

    """A decorator that converts a function into a lazy property.  The
    function wrapped is called the first time to retrieve the result
    and then that calculated result is used the next time you access
    the value::
        class Foo(object):
            @cached_property
            def foo(self):
                # calculate something important here
                return 42
    The class has to have a `__dict__` in order for this property to
    work.
    """

    # implementation detail: A subclass of python's builtin property
    # decorator, we override __get__ to check for a cached value. If one
    # choses to invoke __get__ by hand the property will still work as
    # expected because the lookup logic is replicated in __get__ for
    # manual invocation.

    def __init__(self, func, name=None, doc=None):
        self.__name__ = name or func.__name__
        self.__module__ = func.__module__
        self.__doc__ = doc or func.__doc__
        self.func = func

    def __set__(self, obj, value):
        obj.__dict__[self.__name__] = value

    def __get__(self, obj, type=None):
        if obj is None:
            return self
        value = obj.__dict__.get(self.__name__, _missing)
        if value is _missing:
            value = self.func(obj)
            obj.__dict__[self.__name__] = value
        return value

上下文环境

  • 产品版本: Python2

  • 操作系统: Linux

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解决方案

cached_propertyproperty 的subclass, 复写了 __get__, __set__ 方法.

cached_property 是一个描述器(资料描述器),获取属性的时候优先从描述器获取,即(__get__).

所以执行流程就是:
f.foo -> __get__ -> 从实例字典(f.__dict__)获取 -> 如果没有则保存到字典并调用实际方法返回

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