Fastapi-auth-middleware - Lightweight auth middleware for FastAPI that just works. Fits most auth workflows with only a few lines of code

Overview

FastAPI Auth Middleware

We at Code Specialist love FastAPI for its simplicity and feature-richness. Though we were a bit staggered by the poor documentation and integration of auth-concepts. That's why we wrote a FastAPI Auth Middleware. It integrates seamlessly into FastAPI applications and requires minimum configuration. It is built upon Starlette and thereby requires no dependencies you do not have included anyway.

Caution: This is a middleware to plug in existing authentication. Even though we offer some sample code, this package assumes you already have a way to generate and verify whatever you use, to authenticate your users. In most of the usual cases this will be an access token or bearer. For instance as in OAuth2 or Open ID Connect.

Install

pip install fastapi-auth-middleware

Why FastAPI Auth Middlware?

  • Application or Route scoped automatic authorization and authentication with the perks of dependency injection (But without inflated signatures due to Depends())
  • Lightweight without additional dependencies
  • Easy to configure
  • Easy to extend and adjust to specific needs
  • Plug-and-Play feeling

Usage

The usage of this middleware requires you to provide a single function that validates a given authorization header. The middleware will extract the content of the Authorization HTTP header and inject it into your function that returns a list of scopes and a user object. The list of scopes may be empty if you do not use any scope based concepts. The user object must be a BaseUser or any inheriting class such as FastAPIUser. Thereby, your verify_authorization_header function must implement a signature that contains a string as an input and a Tuple of a List of strings and a BaseUser as output:

from typing import Tuple, List
from fastapi_auth_middleware import FastAPIUser
from starlette.authentication import BaseUser

...
# Takes a string that will look like 'Bearer eyJhbGc...'
def verify_authorization_header(auth_header: str) -> Tuple[List[str], BaseUser]: # Returns a Tuple of a List of scopes (string) and a BaseUser
    user = FastAPIUser(first_name="Code", last_name="Specialist", user_id=1)  # Usually you would decode the JWT here and verify its signature to extract the 'sub'
    scopes = []  # You could for instance use the scopes provided in the JWT or request them by looking up the scopes with the 'sub' somewhere
    return scopes, user

This function is then included as an keyword argument when adding the middleware to the app.

from fastapi import FastAPI
from fastapi_auth_middleware import AuthMiddleware

...

app = FastAPI()
app.add_middleware(AuthMiddleware, verify_authorization_header=verify_authorization_header)

After adding this middleware, all requests will pass the verify_authorization_header function and contain the scopes as well as the user object as injected dependencies. All requests now pass the verify_authorization_header method. You may also verify that users posses scopes with requires:

from starlette.authentication import requires

...

@app.get("/")
@requires(["admin"])  # Will result in an HTTP 401 if the scope is not matched
def some_endpoint():
    ...

You are also able to use the user object you injected on the request object:

from starlette.requests import Request

...

@app.get('/')
def home(request: Request):
    return f"Hello {request.user.first_name}"  # Assuming you use the FastAPIUser object

Examples

Various examples on how to use this middleware are available at https://code-specialist.github.io/fastapi-auth-middleware/examples

Comments
  • tests multiple python versions in test pipeline

    tests multiple python versions in test pipeline

    This PR:

    • runs the test pipeline with all supported python versions instead of only Python 3.8
    • adds a badge for the test status on master to the README
    enhancement 
    opened by JonasScholl 2
  • proper error handling in authentication middleware

    proper error handling in authentication middleware

    When an error in an starlette AuthenticationBackend occurs, a AuthenticationError must be raised, other exceptions may produce errors like: 'RuntimeError: Caught handled exception, but response already started.' (see starlette documentation)

    This PR:

    • catches all exceptions that occur in the verify_authorization_header callback and convert them into an AuthenticationError
    • adds an optional error handler callback for specifically catching auth errors and returning a custom response (since this is already offered by the AuthenticationBackend implentation from starlette)
    • does some type hint improvements, I couldn't resist 😂
    opened by JonasScholl 1
  • OAuth2Middleware with automatic renewal added

    OAuth2Middleware with automatic renewal added

    • Async support for the AuthMiddleware
    • OAuth2Middleware added
    • Write tests (100% coverage)
    • Documentation
    • Add example

    TODO before merging:

    • Add example with the fastapi-keycloak package -> Convert to issue #1
    enhancement 
    opened by yannicschroeer 1
  • Integrate with fastapi openapi authentication

    Integrate with fastapi openapi authentication

    Is there a way to make this middleware correctly integrate with the openapi generators from fastapi? For instance. Currently, this:

    @router.get("/me", response_model=schemas.User)
    @requires('user')
    async def read_user_me(request: Request, db: Session = Depends(get_db)):
      user = User.get_user(db, request.user.userid)
      return user
    

    Is not detected by fastapi's openapi generator as an authenticated endpoint. Is there a way to make this library integrate correctly with the openapi generator.

    image

    opened by xtrm0 0
  • Protected and Unprotected Endpoints

    Protected and Unprotected Endpoints

    I'm trying the middleware and reading the docs

    Once Starlette includes this and FastAPI adopts it, there will be a more elegant solution to this.

    FYI https://github.com/encode/starlette/pull/1649

    opened by paolodina 0
Releases(1.0.2)
  • 1.0.2(Apr 7, 2022)

  • 1.0.1(Mar 24, 2022)

    What's Changed

    • Excluded URLs by @yannicschroeer in https://github.com/code-specialist/fastapi-auth-middleware/pull/6

    Full Changelog: https://github.com/code-specialist/fastapi-auth-middleware/compare/1.0.0...1.0.1

    Source code(tar.gz)
    Source code(zip)
  • 1.0.0(Mar 15, 2022)

    What's Changed

    • proper error handling in authentication middleware by @JonasScholl in https://github.com/code-specialist/fastapi-auth-middleware/pull/2
    • OAuth2Middleware with automatic renewal added by @yannicschroeer in https://github.com/code-specialist/fastapi-auth-middleware/pull/1
    • Improved the reusability of the middleware by passing all headers ins… by @yannicschroeer in https://github.com/code-specialist/fastapi-auth-middleware/pull/3

    New Contributors

    • @JonasScholl made their first contribution in https://github.com/code-specialist/fastapi-auth-middleware/pull/2
    • @yannicschroeer made their first contribution in https://github.com/code-specialist/fastapi-auth-middleware/pull/1

    Full Changelog: https://github.com/code-specialist/fastapi-auth-middleware/commits/1.0.0

    Source code(tar.gz)
    Source code(zip)
Owner
Code Specialist
Code Quality Blog about simplifying concepts and making life easier for developers
Code Specialist
FastAPI Auth Starter Project

This is a template for FastAPI that comes with authentication preconfigured.

Oluwaseyifunmi Oyefeso 6 Nov 13, 2022
A Sample App to Demonstrate React Native and FastAPI Integration

React Native - Service Integration with FastAPI Backend. A Sample App to Demonstrate React Native and FastAPI Integration UI Based on NativeBase toolk

YongKi Kim 4 Nov 17, 2022
Socket.IO integration for Flask applications.

Flask-SocketIO Socket.IO integration for Flask applications. Installation You can install this package as usual with pip: pip install flask-socketio

Miguel Grinberg 4.9k Jan 03, 2023
Qwerkey is a social media platform for connecting and learning more about mechanical keyboards built on React and Redux in the frontend and Flask in the backend on top of a PostgreSQL database.

Flask React Project This is the backend for the Flask React project. Getting started Clone this repository (only this branch) git clone https://github

Peter Mai 22 Dec 20, 2022
CLI and Streamlit applications to create APIs from Excel data files within seconds, using FastAPI

FastAPI-Wrapper CLI & APIness Streamlit App Arvindra Sehmi, Oxford Economics Ltd. | Website | LinkedIn (Updated: 21 April, 2021) fastapi-wrapper is mo

Arvindra 49 Dec 03, 2022
Farlimit - FastAPI rate limit with python

FastAPIRateLimit Contributing is F&E (free&easy) Y Usage pip install farlimit N

omid 27 Oct 06, 2022
Simple example of FastAPI + Celery + Triton for benchmarking

You can see the previous work from: https://github.com/Curt-Park/producer-consumer-fastapi-celery https://github.com/Curt-Park/triton-inference-server

Jinwoo Park (Curt) 37 Dec 29, 2022
Sample-fastapi - A sample app using Fastapi that you can deploy on App Platform

Getting Started We provide a sample app using Fastapi that you can deploy on App

Erhan BÜTE 2 Jan 17, 2022
Signalling for FastAPI.

fastapi-signals Signalling for FastAPI.

Henshal B 7 May 04, 2022
Feature rich robust FastAPI template.

Flexible and Lightweight general-purpose template for FastAPI. Usage ⚠️ Git, Python and Poetry must be installed and accessible ⚠️ Poetry version must

Pavel Kirilin 588 Jan 04, 2023
A utility that allows you to use DI in fastapi without Depends()

fastapi-better-di What is this ? fastapi-better-di is a utility that allows you to use DI in fastapi without Depends() Installation pip install fastap

Maxim 9 May 24, 2022
Cube-CRUD is a simple example of a REST API CRUD in a context of rubik's cube review service.

Cube-CRUD is a simple example of a REST API CRUD in a context of rubik's cube review service. It uses Sqlalchemy ORM to manage the connection and database operations.

Sebastian Andrade 1 Dec 11, 2021
Fetching Cryptocurrency Prices from Coingecko and Displaying them on Grafana

cryptocurrency-prices-grafana Fetching Cryptocurrency Prices from Coingecko and Displaying them on Grafana About This stack consists of: Prometheus (t

Ruan Bekker 7 Aug 01, 2022
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python 3.6 and above with performance auto-tuning. Optionally with Alpine Linux.

Supported tags and respective Dockerfile links python3.8, latest (Dockerfile) python3.7, (Dockerfile) python3.6 (Dockerfile) python3.8-slim (Dockerfil

Sebastián Ramírez 2.1k Dec 31, 2022
A FastAPI Middleware of joerick/pyinstrument to check your service performance.

fastapi_profiler A FastAPI Middleware of joerick/pyinstrument to check your service performance. 📣 Info A FastAPI Middleware of pyinstrument to check

LeoSun 107 Jan 05, 2023
API written using Fast API to manage events and implement a leaderboard / badge system.

Open Food Facts Events API written using Fast API to manage events and implement a leaderboard / badge system. Installation To run the API locally, ru

Open Food Facts 5 Jan 07, 2023
fastapi-mqtt is extension for MQTT protocol

fastapi-mqtt MQTT is a lightweight publish/subscribe messaging protocol designed for M2M (machine to machine) telemetry in low bandwidth environments.

Sabuhi 144 Dec 28, 2022
Easy and secure implementation of Azure AD for your FastAPI APIs 🔒

FastAPI-Azure-auth Azure AD Authentication for FastAPI apps made easy. 🚀 Description FastAPI is a modern, fast (high-performance), web framework for

Intility 216 Dec 27, 2022
Prometheus exporter for metrics from the MyAudi API

Prometheus Audi Exporter This Prometheus exporter exports metrics that it fetches from the MyAudi API. Usage Checkout submodules Install dependencies

Dieter Maes 7 Dec 19, 2022
Beyonic API Python official client library simplified examples using Flask, Django and Fast API.

Beyonic API Python Examples. The beyonic APIs Doc Reference: https://apidocs.beyonic.com/ To start using the Beyonic API Python API, you need to start

Harun Mbaabu Mwenda 46 Sep 01, 2022