easycaching 0.103

Shared, persistent, and smart caching via a single shared interface for storing and retreiving data from memory among many processes(forks) of an application

Shared, persistent, and smart caching

What is it?

easycaching provides a single shared interface for storing and retreiving data from memory among many processes(forks) of an application.

Features

• fast and shared access to data
• persistent cache backed by a database
• auto-forking
• python syntax

Get Started

pip install easycaching

Usage

import asyncio
from easycaching import EasyCache

async def main():
    cache = await EasyCache.create(
        'test'
    )
    # set
    await cache.set('foo', 'bar')

    # get
    cached_value = await cache.get('foo')

    # set with json structured data
    await cache.set('foo_json', {'bar': 'bar_json'})

asyncio.run(main())

FastAPI Usage

# basic.py
from fastapi import FastAPI
from easycaching import EasyCache

app = FastAPI()

@app.on_event('startup')
async def start_cache():
    app.cache = await EasyCache.create(
        'test'
    )

@app.get('/cache')
async def view_cache(key: str):
    return {
        key:  await app.cache[key]
    }

@app.post('/cache')
async def set_cache(key: str, value: str):
    return await app.cache.set(key, {'json': value})

uvicorn --host 0.0.0.0 --port 8230 basic:app --workers=5

Under the Hood

easycaching utilizes the smart caching of aiopyql to provide cache acesss, cache storage, and perhaps most importantly updates and invalidation.

Data access sharing is made possible via proxy methods using easyrpc. A cache background task is created & managed by gunicorn which main application workers access via proxies.