CacheToolsUtils 8.4

Cachetools Utilities

CacheToolsUtils

Classes to add key prefix and stats to cachetools classes and use redis and memcached as storage backends, and other cache-related utils.

Module Contents

For our purpose, a cache is a key-value store, aka a dictionary, possibly with some constraints on keys (type, size) and values (size, serialization). This module provides new caches, wrappers and other utilities suitable to use with cachetools.

Cache classes

• RedisCache allows to see a Redis server as a python cache by wrapping a redis.Redis instance.
• MemCached does the same for a Memcached server. The utility class JsonSerde is a convenient JSON serializer-deserializer class for Memcached.
• DictCache a very simple dict cache.

Other wrappers to extend cache capabilities

• PrefixedCache, PrefixedMemCached and PrefixedRedisCache add a prefix to distinguish sources on a shared cache.
• StatsCache, StatsMemCached and StatsRedisCache add a hits() method to report the cache hit rate.
• LockedCache use a (thread) lock to control cache accesses.
• TwoLevelCache allows to combine two caches.
• DebugCache to trace cache calls using logging.

Cache utilities

• cached decorator: a cachetools replacement which allows to test if a function result is in cache, and to delete such an entry.
• cacheFunctions and cacheMethods: add caching to functions or methods.

More

See the documentation, sources and issues on GitHub.

See packages on PyPI.

License

This code is public domain.