memcache memoization decorators and utils for python
memorised is a python module containing handy python-memcached decorators and utils. Specifically the memorise decorator allows you to quickly and simply add memcache caching to any function or method.
Install memorised using pip:
pip install memorised
Or using the supplied setup.py:
python setup.py install
To cache a simple unbound function, just include the @memorise() tag to the function definition (the paranthesis are needed as the decorator needs to be initialised at the time of binding to handle memorise specific arguements):
from memorised.decorators import memorise @memorise() def myfunction(): return 'hello world'
You can do the same for simple instance and class methods, however for most instance methods, e.g. when caching results for database models, you probably want to include some form of identity to single out a method call on one instance from another instance. You can do this by providing a list of one ore more parent keys, these are the names of attributes in the parent instance that you want to be appended to the memcache key:
class MyModel: id = 1 @memorise(parent_keys=['id']) def get_stats(): return blah()
For other usage examples see the unittests in tests.py.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|memorised-1.1.0.linux-x86_64.tar.gz (9.8 kB) Copy SHA256 hash SHA256||Dumb Binary||any||Aug 14, 2014|
|memorised-1.1.0.tar.gz (5.7 kB) Copy SHA256 hash SHA256||Source||None||Aug 14, 2014|