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django-throttleandcache's Introduction

Installation

  1. pip install -e git+git://github.com/matthewwithanm/django-throttleandcache.git#egg=django-throttleandcache
  2. Set a cache backend in your settings.py file.

Usage

from throttleandcache.decorators import cache_result

# Cache the result of my_function for 3 seconds.
@cache_result(3)
def my_function():
    return 'whatever'

If you call the function multiple times with the same arguments, the result will be fetched from the cache. Remember that calling the same method on multiple instances means that each invocation will have a different first positional (self) argument:

class A(object):
    @cache_result(100)
    def my_function(self):
        print 'The method is being executed!'

instance_1 = A()
instance_2 = A()
instance_1.my_function() # The original method will be invoked
instance_2.my_function() # Different "self" argument, so the method is invoked again.

If you wish to cache the result across all instances, make sure the method will be called with the same arguments (by making it a static or class method, removing it from the class altogether, or using a utility like django.utils.decorators.method_decorator).

The cache_result decorator also accepts optional cache and key_prefix keyword arguments.

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