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A cached-property for decorating methods in classes.

Project description

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A cached-property for decorating methods in classes.

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

Working with Threads

What if a whole bunch of people want to stay at Boardwalk all at once? This means using threads, which unfortunately causes problems with the standard cached_property. In this case, switch to using the threaded_cached_property:

import threading

from cached_property import threaded_cached_property

class Monopoly(object):

    def __init__(self):
        self.boardwalk_price = 500
        self.lock = threading.Lock()

    @threaded_cached_property
    def boardwalk(self):
        """threaded_cached_property is really nice for when no one waits
            for other people to finish their turn and rudely start rolling
            dice and moving their pieces."""

        sleep(1)
        # Need to guard this since += isn't atomic.
        with self.lock:
            self.boardwalk_price += 50
        return self.boardwalk_price

Now use it:

>>> from threading import Thread
>>> from monopoly import Monopoly
>>> monopoly = Monopoly()
>>> threads = []
>>> for x in range(10):
>>>     thread = Thread(target=lambda: monopoly.boardwalk)
>>>     thread.start()
>>>     threads.append(thread)

>>> for thread in threads:
>>>     thread.join()

>>> self.assertEqual(m.boardwalk, 550)

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

0.1.5 (2014-05-20)

  • Added threading support with new threaded_cached_property decorator

  • Documented cache invalidation

  • Updated credits

  • Sourced the bottle implementation

0.1.4 (2014-05-17)

  • Fix the dang-blarged py_modules argument.

0.1.3 (2014-05-17)

  • Removed import of package into setup.py

0.1.2 (2014-05-17)

  • Documentation fixes. Not opening up a RTFD instance for this because it’s so simple to use.

0.1.1 (2014-05-17)

  • setup.py fix. Whoops!

0.1.0 (2014-05-17)

  • First release on PyPI.

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