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Asynchronous redis cache

Project description

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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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