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Building a Secure API with FastAPI and OAuth 2.0

In today’s digital landscape, building secure APIs is not just a best practice but a necessity. APIs allow different software applications to communicate, and securing them is critical to protecting sensitive data. FastAPI, a modern web framework for building APIs with Python, simplifies the process of creating secure applications. Coupled with OAuth 2.0, a robust authorization framework, you can develop APIs that not only serve your application needs but also safeguard your users' data.

In this article, we’ll explore how to build a secure API using FastAPI and OAuth 2.0, complete with code examples and actionable insights.

What is FastAPI?

FastAPI is a fast (high-performance), web framework for building APIs based on standard Python type hints. It allows for quick development, automatic validation, documentation generation, and is ideal for building RESTful APIs. FastAPI is built on top of Starlette and Pydantic, leveraging asynchronous programming for better performance.

Key Features of FastAPI:

  • Automatic interactive API docs (Swagger UI & ReDoc)
  • Data validation using Pydantic
  • Asynchronous support for handling large amounts of data
  • Easy integration with OAuth and JWT for security

What is OAuth 2.0?

OAuth 2.0 is an authorization framework that enables third-party applications to obtain limited access to an HTTP service, either on behalf of a resource owner or by allowing the third-party application to obtain access on its own behalf. It’s widely used for secure API access, providing a way to issue access tokens to clients without sharing user credentials.

Benefits of Using OAuth 2.0:

  • Delegated access: Users can grant access to their resources without sharing credentials.
  • Token expiration: Access tokens can be short-lived, reducing the risk of unauthorized access.
  • Scalability: Easily manage and revoke tokens as needed.

Getting Started with FastAPI and OAuth 2.0

To build a secure API, you will need to set up FastAPI and implement OAuth 2.0 authentication. Below are the steps to create a basic API that uses OAuth 2.0.

Prerequisites

  • Python 3.6 or later
  • FastAPI and Uvicorn
  • A database to store user credentials (for this example, we’ll use SQLite)

Step 1: Install Required Packages

First, install FastAPI and Uvicorn using pip:

pip install fastapi uvicorn python-multipart passlib[bcrypt] sqlalchemy

Step 2: Set Up Your FastAPI Application

Create a new file named main.py and set up a basic FastAPI application. Below is a simple structure:

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
    return {"Hello": "World"}

To run your application, use the command:

uvicorn main:app --reload

Step 3: Implement OAuth 2.0 Authentication

Now that we have a basic FastAPI application, let’s implement OAuth 2.0. We will create a simple user model and a method for token generation.

Create a User Model

Add the following code to main.py:

from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

DATABASE_URL = "sqlite:///./test.db"
engine = create_engine(DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()

class User(Base):
    __tablename__ = "users"

    id = Column(Integer, primary_key=True, index=True)
    username = Column(String, unique=True, index=True)
    password = Column(String)

Base.metadata.create_all(bind=engine)

Token Generation and Authentication

Next, let’s set up token generation and user authentication. We’ll use the OAuth2PasswordBearer and OAuth2PasswordRequestForm classes for this purpose.

from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from fastapi import Depends, HTTPException, status
from passlib.context import CryptContext

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
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)

@app.post("/token")
async def login(form_data: OAuth2PasswordRequestForm = Depends()):
    db = SessionLocal()
    user = db.query(User).filter(User.username == form_data.username).first()

    if not user or not verify_password(form_data.password, user.password):
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Incorrect username or password",
            headers={"WWW-Authenticate": "Bearer"},
        )

    # Here you would typically create and return a JWT token
    return {"access_token": user.username, "token_type": "bearer"}

Step 4: Protecting Routes

To protect your API routes, you can use the Depends method to enforce token requirements on specific endpoints. Here is how to do that:

@app.get("/users/me")
async def read_users_me(token: str = Depends(oauth2_scheme)):
    return {"token": token}

Step 5: Testing Your API

Now you can test your API using tools like Postman or CURL. Start your server and use the /token endpoint to get an access token:

  1. Send a POST request to /token with a JSON body containing username and password.
  2. Use the returned token to access the /users/me endpoint.

Conclusion

Building a secure API with FastAPI and OAuth 2.0 is a powerful way to ensure your application meets modern security standards. FastAPI provides an intuitive framework for API development, while OAuth 2.0 offers a robust method for managing user authentication and authorization.

By following the steps outlined in this article, you can create a secure API that not only meets functional requirements but also protects your users' data. As you expand your application, consider implementing more advanced security measures such as token expiration, refresh tokens, and user roles for enhanced protection.

Happy coding!

SR
Syed
Rizwan

About the Author

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