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How to Build a Secure FastAPI Application with OAuth2

In the world of web development, security is paramount. As applications become more complex and the data they handle more sensitive, developers must implement robust authentication mechanisms. One such mechanism that has gained popularity is OAuth2. In this article, we'll dive into how to build a secure FastAPI application using OAuth2, providing you with step-by-step instructions, code snippets, and best practices.

What is FastAPI?

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is built on top of Starlette and Pydantic, making it not only easy to use but also incredibly powerful. FastAPI allows for automatic generation of OpenAPI and JSON Schema documentation, making it an excellent choice for building RESTful APIs.

Why Use OAuth2?

OAuth2 is an authorization framework that enables applications to obtain limited access to user accounts on an HTTP service. It is widely used for a number of reasons:

  • Delegated Access: OAuth2 allows third-party services to exchange user data securely without sharing passwords.
  • Granular Permissions: Users can grant specific access rights to different applications.
  • Widely Supported: Many platforms and APIs support OAuth2, including Google, Facebook, and GitHub.

Setting Up Your FastAPI Application

Before we dive into the implementation of OAuth2, let's set up a basic FastAPI application.

Step 1: Install Required Packages

First, ensure you have FastAPI and an ASGI server installed. You can quickly set up your environment using pip:

pip install fastapi uvicorn python-jose[cryptography] passlib[bcrypt] python-multipart
  • fastapi: The framework we are using.
  • uvicorn: ASGI server to run our application.
  • python-jose: For handling JSON Web Tokens (JWT).
  • passlib: For password hashing.
  • python-multipart: For handling file uploads (if necessary).

Step 2: Basic FastAPI Application Structure

Create a file named main.py and set up a basic FastAPI application:

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
async def root():
    return {"message": "Hello, FastAPI!"}

Run your FastAPI application using:

uvicorn main:app --reload

You should see output indicating your app is running at http://127.0.0.1:8000.

Implementing OAuth2

Now that we have a basic application, let's implement OAuth2 for secure authentication.

Step 3: Define User Model and Fake Database

We'll use a simple in-memory dictionary to simulate a database. For production, you should use a proper database.

from typing import Optional
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel

class User(BaseModel):
    username: str
    email: Optional[str] = None

class UserInDB(User):
    hashed_password: str

fake_users_db = {
    "johndoe": UserInDB(username="johndoe", email="johndoe@example.com", hashed_password="$2b$12$KIX6LlF.5sG5gE4nCkOa0O1rH5GQ8Jq5Wg1R6QK9nC5Y6bD0Bnb7y")
}

Step 4: Create OAuth2PasswordBearer

Define the OAuth2 scheme:

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

Step 5: Hashing Passwords

To handle passwords securely, we’ll define a utility function for hashing:

from passlib.context import CryptContext

pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")

def verify_password(plain_password, hashed_password):
    return pwd_context.verify(plain_password, hashed_password)

def get_password_hash(password):
    return pwd_context.hash(password)

Step 6: Authentication Functionality

Now, implement a function to authenticate users:

def authenticate_user(username: str, password: str):
    user = fake_users_db.get(username)
    if not user or not verify_password(password, user.hashed_password):
        return False
    return user

Step 7: Create Token Endpoint

Next, implement the token creation functionality:

from datetime import datetime, timedelta
from jose import JWTError, jwt

SECRET_KEY = "your_secret_key"
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_MINUTES = 30

def create_access_token(data: dict, expires_delta: Optional[timedelta] = None):
    to_encode = data.copy()
    if expires_delta:
        expire = datetime.utcnow() + expires_delta
    else:
        expire = datetime.utcnow() + timedelta(minutes=15)
    to_encode.update({"exp": expire})
    encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
    return encoded_jwt

@app.post("/token")
async def login(form_data: OAuth2PasswordRequestForm = Depends()):
    user = authenticate_user(form_data.username, form_data.password)
    if not user:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Incorrect username or password",
            headers={"WWW-Authenticate": "Bearer"},
        )
    access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
    access_token = create_access_token(
        data={"sub": user.username}, expires_delta=access_token_expires
    )
    return {"access_token": access_token, "token_type": "bearer"}

Step 8: Securing Endpoints

Now, let's secure a sample endpoint using the OAuth2 scheme:

@app.get("/users/me")
async def read_users_me(token: str = Depends(oauth2_scheme)):
    # Here, you can decode the token and retrieve user information
    return {"token": token}

Conclusion

With these steps, you have successfully built a secure FastAPI application using OAuth2. This guide covered everything from setting up your FastAPI environment to implementing a secure authentication system.

Key Takeaways:

  • FastAPI makes it easy to set up APIs with built-in support for OAuth2.
  • Security best practices include hashing passwords and using JWT for token generation.
  • Always remember to validate and sanitize inputs to protect against vulnerabilities.

As you continue to develop your application, consider implementing additional security measures such as HTTPS, rate limiting, and logging to further enhance your application's security. With the foundation laid out in this article, you're now ready to build a secure and efficient API with FastAPI!

SR
Syed
Rizwan

About the Author

Syed Rizwan is a Machine Learning Engineer with 5 years of experience in AI, IoT, and Industrial Automation.