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https://github.com/long2ice/fastapi-cache
fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.
https://github.com/long2ice/fastapi-cache
cache fastapi memcached redis
Last synced: 28 days ago
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fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.
- Host: GitHub
- URL: https://github.com/long2ice/fastapi-cache
- Owner: long2ice
- License: apache-2.0
- Created: 2020-08-25T08:37:24.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-09-19T07:38:20.000Z (about 2 months ago)
- Last Synced: 2024-10-04T13:12:24.237Z (about 1 month ago)
- Topics: cache, fastapi, memcached, redis
- Language: Python
- Homepage: https://github.com/long2ice/fastapi-cache
- Size: 604 KB
- Stars: 1,304
- Watchers: 8
- Forks: 160
- Open Issues: 89
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- awesome-fastapi - FastAPI Cache - A tool to cache FastAPI response and function results, with support for Redis, Memcached, DynamoDB, and in-memory backends. (Third-Party Extensions / Utils)
- awesome-fastapi - :octocat: fastapi-cache :star: 400+ :fork_and_knife: 60+ - Fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached. (Caching)
- awesome-fastapi - FastAPI Cache - A tool to cache FastAPI response and function results, with support for Redis, Memcached, DynamoDB, and in-memory backends. (Third-Party Extensions / Utils)
README
# fastapi-cache
[![pypi](https://img.shields.io/pypi/v/fastapi-cache2.svg?style=flat)](https://pypi.org/p/fastapi-cache2)
[![license](https://img.shields.io/github/license/long2ice/fastapi-cache)](https://github.com/long2ice/fastapi-cache/blob/main/LICENSE)
[![CI/CD](https://github.com/long2ice/fastapi-cache/actions/workflows/ci-cd.yml/badge.svg)](https://github.com/long2ice/fastapi-cache/actions/workflows/ci-cd.yml)## 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](https://fastapi.tiangolo.com/).
- 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
```shell
> pip install fastapi-cache2
```or
```shell
> pip install "fastapi-cache2[redis]"
```or
```shell
> pip install "fastapi-cache2[memcache]"
```or
```shell
> pip install "fastapi-cache2[dynamodb]"
```## Usage
### Quick Start
```python
from collections.abc import AsyncIterator
from contextlib import asynccontextmanagerfrom fastapi import FastAPI
from starlette.requests import Request
from starlette.responses import Responsefrom fastapi_cache import FastAPICache
from fastapi_cache.backends.redis import RedisBackend
from fastapi_cache.decorator import cachefrom 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")
yieldapp = 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:
```python
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`.```python
from typing import Any
import orjson
from fastapi.encoders import jsonable_encoder
from fastapi_cache import Coderclass 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:
```python
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][redis-decode] (`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.
[redis-decode]: https://redis-py.readthedocs.io/en/latest/examples/connection_examples.html#by-default-Redis-return-binary-responses,-to-decode-them-use-decode_responses=True
## Tests and coverage
```shell
coverage run -m pytest
coverage html
xdg-open htmlcov/index.html
```## License
This project is licensed under the [Apache-2.0](https://github.com/long2ice/fastapi-cache/blob/master/LICENSE) License.