%PDF- %PDF-
Direktori : /proc/self/root/proc/self/root/opt/alt/python38/share/doc/alt-python38-cached_property/ |
Current File : //proc/self/root/proc/self/root/opt/alt/python38/share/doc/alt-python38-cached_property/README.rst |
=============================== cached-property =============================== .. image:: https://img.shields.io/pypi/v/cached-property.svg :target: https://pypi.python.org/pypi/cached-property .. image:: https://img.shields.io/travis/pydanny/cached-property/master.svg :target: https://travis-ci.org/pydanny/cached-property A decorator for caching properties 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! .. code-block:: python 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: .. code-block:: python >>> monopoly = Monopoly() >>> monopoly.boardwalk 550 >>> monopoly.boardwalk 600 Let's convert the boardwalk property into a ``cached_property``. .. code-block:: python 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. .. code-block:: python >>> 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: .. code-block:: python >>> monopoly = Monopoly() >>> monopoly.boardwalk 550 >>> monopoly.boardwalk 550 >>> # invalidate the cache >>> del monopoly.__dict__['boardwalk'] >>> # request the boardwalk property again >>> monopoly.boardwalk 600 >>> monopoly.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``: .. code-block:: python from cached_property import threaded_cached_property class Monopoly(object): def __init__(self): self.boardwalk_price = 500 @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) self.boardwalk_price += 50 return self.boardwalk_price Now use it: .. code-block:: python >>> 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) Timing out the cache -------------------- Sometimes you want the price of things to reset after a time. Use the ``ttl`` versions of ``cached_property`` and ``threaded_cached_property``. .. code-block:: python import random from cached_property import cached_property_with_ttl class Monopoly(object): @cached_property_with_ttl(ttl=5) # cache invalidates after 5 seconds def dice(self): # I dare the reader to implement a game using this method of 'rolling dice'. return random.randint(2,12) Now use it: .. code-block:: python >>> monopoly = Monopoly() >>> monopoly.dice 10 >>> monopoly.dice 10 >>> from time import sleep >>> sleep(6) # Sleeps long enough to expire the cache >>> monopoly.dice 3 >>> monopoly.dice 3 **Note:** The ``ttl`` tools do not reliably allow the clearing of the cache. This is why they are broken out into seperate tools. See https://github.com/pydanny/cached-property/issues/16. 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. * @tinche for pointing out the threading issue and providing a solution. * @bcho for providing the time-to-expire feature .. _`@audreyr`: https://github.com/audreyr .. _`cookiecutter`: https://github.com/audreyr/cookiecutter