Simple python caching mechanisms using expiration time or time to live.

Designed to be used with API clients and similar.

This module aims primarily to be simple and easy to use and extend. It doesn't remove expired data unless you try to get it from cache.

pip install multicache

or

git clone [email protected]:bargulg/multicache.git
cd multicache
python setup.py install

optionally for redis cache:

pip install redis

from multicache import DictCache

cache = DictCache()

def search_with_cache(query='python'):
    headers = {'User-Agent': 'Mozilla/5.0'}
    request_url = 'https://duckduckgo.com'
    params = {'q': query}

    request_url = "{}?{}".format(url, urlencode(params))

    cached = cache.get(request_url)
    if cached:
        return cached
    else:
        req = Request(request_url, headers=headers)
        response = json.loads(urlopen(req).read().decode("utf-8"))
        cache.put(request_url, response)
        return response

Saves data in redis - fast, lightweight and reliable Right now this supports only default redis settings, better support for redis will come soon

Saves data in dict - this will be deleted when program is closed

Saves data in file as a persistent storage, good for long-term caching of small number of keys. For speed, it also saves it in dict, and reads file whenever it doesn't find key in dict.

Doesn't save anything, every call to get(key) is a cache miss

Just inherit from BaseCache and implement put(), get(), and invalidate()