fastapi-cache

Introduction

fastapi-cache is a tool to cache fastapi response and function result, with backends support redis, memcache, and dynamodb.

Features

Support redis, memcache, dynamodb, and in-memory backends.
Easily integration with fastapi.
Support http cache like ETag and Cache-Control.

Requirements

asyncio environment.
redis if use RedisBackend.
memcache if use MemcacheBackend.
aiobotocore if use DynamoBackend.

Install

> pip install fastapi-cache2

> pip install "fastapi-cache2[redis]"

> pip install "fastapi-cache2[memcache]"

> pip install "fastapi-cache2[dynamodb]"

Usage

Quick Start

import aioredis
from fastapi import FastAPI
from starlette.requests import Request
from starlette.responses import Response

from fastapi_cache import FastAPICache
from fastapi_cache.backends.redis import RedisBackend
from fastapi_cache.decorator import cache

app = FastAPI()


@cache()
async def get_cache():
    return 1


@app.get("/")
@cache(expire=60)
async def index(request: Request, response: Response):
    return dict(hello="world")


@app.on_event("startup")
async def startup():
    redis =  aioredis.from_url("redis://localhost", encoding="utf8", decode_responses=True)
    FastAPICache.init(RedisBackend(redis), prefix="fastapi-cache")

Initialization

Firstly you must call FastAPICache.init on startup event of fastapi, there are some global config you can pass in.

Use `cache` decorator

If you want cache fastapi response transparently, you can use cache as decorator between router decorator and view function and must pass request as param of view function.

Parameter	type, description
expire	int, states a caching time in seconds
namespace	str, namespace to use to store certain cache items
coder	which coder to use, e.g. JsonCoder
key_builder	which key builder to use, default to builtin

And if you want use ETag and Cache-Control features, you must pass response param also.

You can also use cache as decorator like other cache tools to cache common function result.

Custom coder

By default use JsonCoder, you can write custom coder to encode and decode cache result, just need inherit fastapi_cache.coder.Coder.

@app.get("/")
@cache(expire=60,coder=JsonCoder)
async def index(request: Request, response: Response):
    return dict(hello="world")

Custom key builder

By default use builtin key builder, if you need, you can override this and pass in cache or FastAPICache.init to take effect globally.

def my_key_builder(
    func,
    namespace: Optional[str] = "",
    request: Request = None,
    response: Response = None,
    *args,
    **kwargs,
):
    prefix = FastAPICache.get_prefix()
    cache_key = f"{prefix}:{namespace}:{func.__module__}:{func.__name__}:{args}:{kwargs}"
    return cache_key

@app.get("/")
@cache(expire=60,coder=JsonCoder,key_builder=my_key_builder)
async def index(request: Request, response: Response):
    return dict(hello="world")

InMemoryBackend

InMemoryBackend store cache data in memory and use lazy delete, which mean if you don't access it after cached, it will not delete automatically.

License

This project is licensed under the Apache-2.0 License.

smartniz/fastapi-cache