Fastapi easy cache

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An easy to use tool for caching fastapi returnings using sqlite as backend

When should I use fastapi-easy-cache?

1. Returning json serializable data
2. Using GET method
3. Returning dynamic but repeated data (like data refresh everyday)
4. Don't have complicated requirements and too lazy to build a tool yourself

When should I NOT use fastapi-easy-cache?

1. Returning not json serializable data (bytes, datetime, etc)
2. Using POST method
3. Returning frequently changing data (like data refresh every second)
4. Need advanced features (recommend: fastapi-cache)

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Installation

We recommend you have fastapi installed

pip install fastapi-easy-cache

Usage

Initializing

The following code will

1. create a sqlite database in dbPath
2. sotore cache in filesystem

import fastapi_easy_cache

fastapi_easy_cache.apiCache(db_path='./temp/cache', in_memory=False)

args

db_path: path to sqlite database in_memory: set up cache in memory, db_path will be database name when set to True

Using

You just need to add @cache(expire=20) under fastapi route decorator, add flil in expire time and it's all done.

expire is counted in second

from fastapi_easy_cache import cache

@app.get('/testCache/{path}')
@cache(expire=20)
def test(path):
    data = path
    return data

With GET route with arguments, you must add request: Request to your function

from starlette.requests import Request
from fastapi_easy_cache import cache

@app.get('/testCacheWithArg/{path}')
@cache(expire=20)
def testArg(path, arg1, arg2, request: Request):
    data = {'path': path,
         'arg1': arg1,
         'arg2': arg2}
    return data