redis-simple-cache-3k 0.0.7

redis-simple-cache is a pythonic interface for creating a cache over redis. It provides simple decorators that can be added to any function to cache its return values.

redis-simple-cache

redis-simple-cache is a pythonic interface for creating a cache over redis.
It provides simple decorators that can be added to any function to cache its return values.

Forked package with python 3 support. Original package is located here: https://github.com/vivekn/redis-simple-cache

Requirements:

redis 4.0.0

Installation:

pip install redis-simple-cache-3k

or to get the latest version

git clone git://github.com/ohanetz/redis-simple-cache-3k.git
cd redis-simple-cache-3k
python setup.py install

Usage:

from redis_cache import cache_it_json

@cache_it_json(limit=1000, expire=60 * 60 * 24)
def fib(n):
    if n == 0:
        return 0
    elif n == 1:
        return 1
    else:
        return fib(n-1) + fib(n-2)

limit is the maximum number of keys, expire is the expire time in seconds.
It is always recommended to specify a expire time, since by default redis-server will only remove keys with an expire time set in a event of full memory. But if you wish your keys to never expire, set expire to None.
Note that function arguments and result must be pickleable, since cache_it uses the pickle module.

It is also possible to use redis-simple-cache as a object-oriented cache:

>> from redis_cache import SimpleCache
>> c = SimpleCache(10)  # cache that has a maximum limit of 10 keys
>> c.store("foo", "bar")
>> c.get("foo")
'bar'
>> "foo" in c  # efficient membership test, time-complexity O(1)
True
>> len(c)  # efficient cardinality calculation, time-complexity O(1)
1
>> c.keys()  # returns all keys, time-complexity O(N) with N being the cache c cardinality
set(['foo'])
>> c.flush()  # flushes the cache, time-complexity O(N) with N being the cache c cardinality
>> "foo" in c
False
>> len(c)
0

Check out more examples in the test_rediscache.py file.

Advanced:

Advanced users can customize the decorators even more by passing a SimpleCache object. For example:

my_cache = SimpleCache(limit=100, expire=60 * 60, hashkeys=True, host='localhost', port=6379, db=1, namespace='Fibonacci')
@cache_it(cache=my_cache)
def fib(n):
    # ...

hashkeys parameter makes the SimpleCache to store keys in md5 hash. It is True by default in decorators, but False by default in a new SimpleCache object.
host, port and db are the same redis config params used in StrictRedis class of redis-py. By default, the namespace is the name of the module from which the decorated function is called, but it can be overridden with the namespace parameter.

AUTHOR: Vivek Narayanan

CONTRIBUTORS:

Flávio Juvenal

Sam Zaydel

David Ng

DJ Gilcrease

Johannes Maximilian Toball

Robert Marshall

Ben Hayden

Python 3 and Redis 4 support added by Omer Hanetz

LICENSE: BSD