aiocache 0.1.10

Asynchronous redis cache

The asyncio cache that implements multiple backends.

This library 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

• raw: Sends raw command to the underlying client

How does it work

Aiocache provides 3 main entities:

• backends: Allow you specify which backend you want to use for your cache. Currently supporting: SimpleMemoryCache, RedisCache using aioredis and MemCache using aiomcache.

• serializers: Serialize and deserialize the data between your code and the backends. This allows you to save any Python object into your cache. Currently supporting: DefaultSerializer, PickleSerializer, JsonSerializer.

• policies: Allows the cache to use a policy. Currently supporting: DefaultPolicy, LRUPolicy.

Those 3 entities combine during some of the cache operations to apply the desired command (backend), data transformation (serializer) and pre/post hooks (policies). To have a better vision of what happens, here you can check how set function works in aiocache:

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, cache=RedisCache, serializer=PickleSerializer())
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())

Documentation

• Usage

• Backends

• Serializers

• Policies

• Decorators

• Testing

• Examples