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cachecore's Introduction

CacheCore

Simple cache backends, inspired by werkzeug.contrib.cache.

Creating a Cache Object

To create a cache object you just import the cache system of your choice from the cache module and instantiate it. Then you can start working with that object:

>>> from cachecore import SimpleCache
>>> c = SimpleCache()
>>> c.set("foo", "value")
>>> c.get("foo")
'value'
>>> c.get("missing") is None
True

Cache Types

  • In-Memory
  • Redis
  • Memcache
  • Filesystem
  • Your own (extend BaseCache)

Installation

Installing cachecore is simple with pip:

$ pip install cachecore

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cachecore's Issues

Threading and FileSystemCache

I think using multiple threads over the same FileCacheSystem instance will not work currently.
Is it possible to use a lock for write operations?

Support for Multi-Tenant Memcached Servers

In order to accomplish this, you must pass a username and password with your servers on pylibmc.Client():

pylibmc.Client(servers, username, password)

(pylibmc source)

You could then initialize the cache:

>>> from cachecore import MemcachedCache
>>> c = MemcachedCache(servers, username, password)
>>> c.set("foo", "value")
>>> c.get("foo")
'value'
>>> c.get("missing") is None
True

This would allow support for multi-tenant memcached servers on platforms like Heroku.

Ambiguous results

When I have,

c.set("foo", None)
c.get("foo")

the result is ambiguous.

It could mean:
-foo does not exist in the cache
-foo exists in the cache and does not have a value

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