


How to use Flask-CORS to achieve cross-domain resource sharing
How to use Flask-CORS to achieve cross-origin resource sharing
Introduction:
In network application development, cross-origin resource sharing (Cross Origin Resource Sharing, referred to as CORS) is a mechanism that allows servers to Share resources with specified sources or domain names. Using CORS, we can flexibly control data transmission between different domains and achieve safe and reliable cross-domain access. In this article, we will introduce how to use the Flask-CORS extension library to implement CORS functionality.
1. What is CORS
CORS is a security mechanism provided by the browser, which is used to control access to resources between different domains. In the traditional same-origin policy, browsers only allow web pages under the same domain name to interact, while CORS allows web pages under different domain names to initiate cross-domain requests. CORS is controlled through HTTP header fields and interacts between the client and server.
2. Introduction to Flask-CORS
Flask-CORS is a CORS extension library based on the Flask framework. It provides a simple and flexible solution for implementing CORS functions. Flask-CORS can control the behavior of CORS by setting parameters, such as allowed sources, request methods, request headers, etc.
3. Install Flask-CORS
You can use the pip command to install Flask-CORS:
pip install flask-cors
4. Use Flask-CORS
The following is a basic Flask application that demonstrates How to use Flask-CORS to achieve cross-domain resource sharing:
from flask import Flask, jsonify from flask_cors import CORS app = Flask(__name__) CORS(app) # 允许应用的所有视图都可以跨域访问 @app.route('/api/data', methods=['GET']) def get_data(): data = { 'name': '小明', 'age': 18, 'gender': '男' } return jsonify(data) if __name__ == '__main__': app.run()
In the above code, we first imported the Flask
and flask_cors
modules and created a Flask application. Next, use the CORS(app)
statement to set all views of the application to be accessible across domains. Finally, we define a route that returns data in JSON format.
In actual development, we usually use more granular settings to flexibly control the CORS behavior of different views. Here's a more complex example:
from flask import Flask, jsonify from flask_cors import CORS app = Flask(__name__) cors = CORS(app, resources={ r"/*": { "origins": ["http://example.com", "http://www.example.com"], "methods": ["GET", "POST"], "headers": ["Content-Type", "Authorization"] } }) @app.route('/api/data', methods=['GET']) def get_data(): data = { 'name': '小明', 'age': 18, 'gender': '男' } return jsonify(data) if __name__ == '__main__': app.run()
In the code above, we make more fine-grained settings by passing a resources
parameter. In this example, we only allow requests from the two domain names example.com
and www.example.com
to initiate cross-domain access. We also specify the allowed request methods (GET and POST) and request headers (Content-Type and Authorization).
5. Summary
In this article, we introduced how to use the Flask-CORS extension library to achieve cross-domain resource sharing. By setting different parameters, we can flexibly control data transmission between different domains and achieve safe and reliable cross-domain access. CORS is a security mechanism provided by browsers, providing developers with more freedom and flexibility to meet the needs of different application scenarios.
The above is the detailed content of How to use Flask-CORS to achieve cross-domain resource sharing. For more information, please follow other related articles on the PHP Chinese website!

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Zend Studio 13.0.1
Powerful PHP integrated development environment

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.