
Security News
MCP Community Begins Work on Official MCP Metaregistry
The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
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 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 2.6.2
redis-py 2.7.1 (see requirements.txt file)
pip install redis-simple-cache
or to get the latest version
git clone git://github.com/vivekn/redis-simple-cache.git
cd redis-simple-cache
python setup.py install
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 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
LICENSE: BSD
FAQs
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.
We found that redis-simple-cache demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
Research
Security News
Socket uncovers an npm Trojan stealing crypto wallets and BullX credentials via obfuscated code and Telegram exfiltration.
Research
Security News
Malicious npm packages posing as developer tools target macOS Cursor IDE users, stealing credentials and modifying files to gain persistent backdoor access.