cached-property 0.1.4

Why?

• Makes caching of time or computational expensive properties quick and easy.

• Because I got tired of copy/pasting this code from non-web project to non-web project.

• I needed something really simple that worked in Python 2 and 3.

How to use it

Let’s define a class with an expensive property. Every time you stay there the price goes up by $50!

class Monopoly(object):

    def __init__(self):
        self.boardwalk_price = 500

    @property
    def boardwalk(self):
        # In reality, this might represent a database call or time
        # intensive task like calling a third-party API.
        self.boardwalk_price += 50
        return self.boardwalk_price

Now run it:

>>> monopoly = Monopoly()
>>> monopoly.boardwalk
550
>>> monopoly.boardwalk
600

Let’s convert the boardwalk property into a cached_property.

from cached_property import cached_property

class Monopoly(object):

    def __init__(self):
        self.boardwalk_price = 500

    @cached_property
    def boardwalk(self):
        # Again, this is a silly example. Don't worry about it, this is
        #   just an example for clarity.
        self.boardwalk_price += 50
        return self.boardwalk_price

Now when we run it the price stays at $550.

>>> monopoly = Monopoly()
>>> monopoly.boardwalk
550
>>> monopoly.boardwalk
550
>>> monopoly.boardwalk
550

Why doesn’t the value of monopoly.boardwalk change? Because it’s a cached property!

Invalidating the Cache

Results of cached functions can be invalidated by outside forces. Let’s demonstrate how to force the cache to invalidate:

>>> monopoly = Monopoly()
>>> monopoly.boardwalk
550
>>> monopoly.boardwalk
550
>>> # invalidate the cache
>>> del m.boardwalk
>>> # request the boardwalk property again
>>> m.boardwalk
600
>>> m.boardwalk
600

Credits

• Pip, Django, Werkzueg, Bottle, Pyramid, and Zope for having their own implementations. This package uses an implementation that matches the Bottle version.

• Reinout Van Rees for pointing out the cached_property decorator to me.

• My awesome wife @audreyr who created cookiecutter, which meant rolling this out took me just 15 minutes.

History