Skip to main content

Cache for FastAPI

Project description

fastapi-cache

pypi license CI/CD

Introduction

fastapi-cache is a tool to cache FastAPI endpoint and function results, with backends supporting Redis, Memcached, and Amazon DynamoDB.

Features

  • Supports redis, memcache, dynamodb, and in-memory backends.
  • Easy integration with FastAPI.
  • Support for HTTP cache headers like ETag and Cache-Control, as well as conditional If-Match-None requests.

Requirements

  • FastAPI
  • redis when using RedisBackend.
  • memcache when using MemcacheBackend.
  • aiobotocore when using DynamoBackend.

Install

> pip install fastapi-cache2

or

> pip install "fastapi-cache2[redis]"

or

> pip install "fastapi-cache2[memcache]"

or

> pip install "fastapi-cache2[dynamodb]"

Usage

Quick Start

from collections.abc import AsyncIterator
from contextlib import asynccontextmanager

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

from redis import asyncio as aioredis


@asynccontextmanager
async def lifespan(_: FastAPI) -> AsyncIterator[None]:
    redis = aioredis.from_url("redis://localhost")
    FastAPICache.init(RedisBackend(redis), prefix="fastapi-cache")
    yield


app = FastAPI(lifespan=lifespan)


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


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

Initialization

First you must call FastAPICache.init during startup FastAPI startup; this is where you set global configuration.

Use the @cache decorator

If you want cache a FastAPI response transparently, you can use the @cache decorator between the router decorator and the view function.

Parameter type default description
expire int sets the caching time in seconds
namespace str "" namespace to use to store certain cache items
coder Coder JsonCoder which coder to use, e.g. JsonCoder
key_builder KeyBuilder callable default_key_builder which key builder to use
injected_dependency_namespace str __fastapi_cache prefix for injected dependency keywords.
cache_status_header str X-FastAPI-Cache Name for the header on the response indicating if the request was served from cache; either HIT or MISS.

You can also use the @cache decorator on regular functions to cache their result.

Injected Request and Response dependencies

The cache decorator injects dependencies for the Request and Response objects, so that it can add cache control headers to the outgoing response, and return a 304 Not Modified response when the incoming request has a matching If-Non-Match header. This only happens if the decorated endpoint doesn't already list these dependencies already.

The keyword arguments for these extra dependencies are named __fastapi_cache_request and __fastapi_cache_response to minimize collisions. Use the injected_dependency_namespace argument to @cache to change the prefix used if those names would clash anyway.

Supported data types

When using the (default) JsonCoder, the cache can store any data type that FastAPI can convert to JSON, including Pydantic models and dataclasses, provided that your endpoint has a correct return type annotation. An annotation is not needed if the return type is a standard JSON-supported Python type such as a dictionary or a list.

E.g. for an endpoint that returns a Pydantic model named SomeModel, the return annotation is used to ensure that the cached result is converted back to the correct class:

from .models import SomeModel, create_some_model

@app.get("/foo")
@cache(expire=60)
async def foo() -> SomeModel:
    return create_some_model()

It is not sufficient to configure a response model in the route decorator; the cache needs to know what the method itself returns. If no return type decorator is given, the primitive JSON type is returned instead.

For broader type support, use the fastapi_cache.coder.PickleCoder or implement a custom coder (see below).

Custom coder

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

from typing import Any
import orjson
from fastapi.encoders import jsonable_encoder
from fastapi_cache import Coder

class ORJsonCoder(Coder):
    @classmethod
    def encode(cls, value: Any) -> bytes:
        return orjson.dumps(
            value,
            default=jsonable_encoder,
            option=orjson.OPT_NON_STR_KEYS | orjson.OPT_SERIALIZE_NUMPY,
        )

    @classmethod
    def decode(cls, value: bytes) -> Any:
        return orjson.loads(value)


@app.get("/")
@cache(expire=60, coder=ORJsonCoder)
async def index():
    return dict(hello="world")

Custom key builder

By default the default_key_builder builtin key builder is used; this creates a cache key from the function module and name, and the positional and keyword arguments converted to their repr() representations, encoded as a MD5 hash. You can provide your own by passing a key builder in to @cache(), or to FastAPICache.init() to apply globally.

For example, if you wanted to use the request method, URL and query string as a cache key instead of the function identifier you could use:

def request_key_builder(
    func,
    namespace: str = "",
    *,
    request: Request = None,
    response: Response = None,
    *args,
    **kwargs,
):
    return ":".join([
        namespace,
        request.method.lower(),
        request.url.path,
        repr(sorted(request.query_params.items()))
    ])


@app.get("/")
@cache(expire=60, key_builder=request_key_builder)
async def index():
    return dict(hello="world")

Backend notes

InMemoryBackend

The InMemoryBackend stores cache data in memory and only deletes when an expired key is accessed. This means that if you don't access a function after data has been cached, the data will not be removed automatically.

RedisBackend

When using the Redis backend, please make sure you pass in a redis client that does not decode responses (decode_responses must be False, which is the default). Cached data is stored as bytes (binary), decoding these in the Redis client would break caching.

Tests and coverage

coverage run -m pytest
coverage html
xdg-open htmlcov/index.html

License

This project is licensed under the Apache-2.0 License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fastapi_cache2-0.2.2.tar.gz (17.9 kB view details)

Uploaded Source

Built Distribution

fastapi_cache2-0.2.2-py3-none-any.whl (25.4 kB view details)

Uploaded Python 3

File details

Details for the file fastapi_cache2-0.2.2.tar.gz.

File metadata

  • Download URL: fastapi_cache2-0.2.2.tar.gz
  • Upload date:
  • Size: 17.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for fastapi_cache2-0.2.2.tar.gz
Algorithm Hash digest
SHA256 71bf4450117dc24224ec120be489dbe09e331143c9f74e75eb6f576b78926026
MD5 275a2a0b988605c32a62ffa7a6404858
BLAKE2b-256 376f7c2078bf097634276a266fe225d9d6a1f882fe505a662bd1835fb2cf6891

See more details on using hashes here.

File details

Details for the file fastapi_cache2-0.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for fastapi_cache2-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e1fae86d8eaaa6c8501dfe08407f71d69e87cc6748042d59d51994000532846c
MD5 105ea1bcdd093c2add9c25c8b7eeae45
BLAKE2b-256 6db3ce7c5d9f5e75257a3039ee1e38feb77bee29da3a1792c57d6ea1acb55d17

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page