


How to implement JSON Web Token based authentication using Flask-JWT
How to implement JSON Web Token based authentication using Flask-JWT
Overview:
In modern web applications, security is crucial. One of the key aspects is authentication. JSON Web Token (JWT) is an open standard for passing claims between web applications. It can verify data integrity through signatures and implement token-based user authentication.
In this article, we will introduce how to use the Flask-JWT extension to implement JSON Web Token-based authentication to protect our Flask application.
Install Flask-JWT:
First, make sure you have installed Flask and Flask-JWT. They can be installed using the following command:
pip install flask pip install flask-jwt
How to use:
Flask-JWT provides decorators to easily add token validation to Flask routing functions. Here is a simple example:
from flask import Flask from flask_jwt import JWT, jwt_required, current_identity from werkzeug.security import safe_str_cmp app = Flask(__name__) app.config['SECRET_KEY'] = 'super-secret-key' class User: def __init__(self, id, username, password): self.id = id self.username = username self.password = password def __str__(self): return f'User(id={self.id}, username={self.username})' users = [ User(1, 'admin', 'adminpassword'), ] def authenticate(username, password): user = next((user for user in users if user.username == username), None) if user and safe_str_cmp(user.password.encode('utf-8'), password.encode('utf-8')): return user def identity(payload): user_id = payload['identity'] return next((user for user in users if user.id == user_id), None) jwt = JWT(app, authenticate, identity) @app.route('/protected') @jwt_required() def protected(): return f'Hello, {current_identity}! This route is protected.' if __name__ == '__main__': app.run()
In the above example code, we first imported the required modules. Then, we define a User class to represent the user entity. Next, we define a list of users (assuming a database) to use for authentication.
authenticate function is used to authenticate a user based on the provided username and password. The identity function obtains the user object based on the user ID in the JWT payload.
Then, we initialized a Flask application and set a secret key (SECRET_KEY). We then initialized a jwt object using the JWT class and passed the authenticate and identity functions to it.
The @jwt_required()
decorator is used on the /protected
route to protect the route. Only authenticated users can access it.
Finally, we launch the Flask application.
Authenticate:
To authenticate, we need to make an HTTP POST request to the application, passing the username and password. Flask-JWT will generate a JWT token for us.
Here is the sample code of how to authenticate:
import requests def authenticate(username, password): response = requests.post('http://localhost:5000/auth', json={'username': username, 'password': password}) if response.status_code == 200: return response.json()['access_token'] access_token = authenticate('admin', 'adminpassword') print(f'Access Token: {access_token}')
In the above example, we sent an HTTP POST request to the /auth
route, passing the user JSON data of name and password. If the authentication is successful, we will get an access_token.
The protected route will accept the token and authenticate the user. Here is an example of how to pass the token in the request header:
import requests headers = { 'Authorization': f'Bearer {access_token}' } response = requests.get('http://localhost:5000/protected', headers=headers) print(response.text)
In the above example, we add the token to the Authorization
field of the request header and pass it to /protected
Routing. If the token is valid, we will get a response from the protected route.
Summary:
In this article, we learned how to use the Flask-JWT extension to implement JSON Web Token-based authentication. We learned how to add an authentication decorator in a Flask application and demonstrated how to authenticate with sample code. JSON Web Token provides a simple and secure authentication mechanism that can be applied to a variety of web applications.
The above is the detailed content of How to implement JSON Web Token based authentication using Flask-JWT. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Atom editor mac version download
The most popular open source editor

SublimeText3 Linux new version
SublimeText3 Linux latest version

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Zend Studio 13.0.1
Powerful PHP integrated development environment

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.