Asynchronous redis cache
Project description
An asynchronous cache implementation with multiple backends for asyncio. Used django-redis-cache and redis-simple-cache as inspiration for the initial structure.
Disclaimer: The code is still in alpha version so new versions may introduce breaking changes. Once version 1.0 is reached, deprecation policy will be introduced.
Supported backends:
This libraries aims for simplicity over specialization. It provides a common interface for all caches which allows to store any python object. The operations supported by all backends are:
add
exists
get
set
multi_get
multi_set
delete
Usage
Install the package with pip install aiocache.
cached decorator
import asyncio
from collections import namedtuple
from aiocache import cached, RedisCache
from aiocache.serializers import PickleSerializer
Result = namedtuple('Result', "content, status")
@cached(ttl=10)
async def async_main():
print("First ASYNC non cached call...")
await asyncio.sleep(1)
return Result("content", 200)
if __name__ == "__main__":
loop = asyncio.get_event_loop()
print(loop.run_until_complete(async_main()))
print(loop.run_until_complete(async_main()))
print(loop.run_until_complete(async_main()))
print(loop.run_until_complete(async_main()))The decorator by default will use the SimpleMemoryCache backend and the DefaultSerializer. If you want to use a different backend, you can call it with cached(ttl=10, backend=RedisCache). Also, if you want to use a specific serializer just use cached(ttl=10, serializer=DefaultSerializer())
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