Flask is a popular Python web framework, and its flexibility and extensibility make it the preferred framework for many people. When developing web applications, you may encounter many problems, such as request errors, server errors, unhandled exceptions, etc. In this post, we’ll explore how to use Flask’s error handling techniques to handle these issues.
- Application level error handling
In a Flask application, we can use the decorator @app.errorhandler()
to handle the application level error. @app.errorhandler()
Accepts a parameter indicating the type of error to be handled. For example, we can add the following code to the application to handle 500 errors:
@app.errorhandler(500) def handle_500_error(error): return "Sorry, there was a server error.", 500
When a 500 error occurs in the application, Flask will call the handle_500_error()
function to handle the error, and returns an HTTP response.
- Blueprints level error handling
In Flask, Blueprint is an architecture that organizes view functions, templates and static files together. If we need to handle errors in a certain Blueprint, we can use the same trick, that is, use the errorhandler()
decorator.
from flask import Blueprint, jsonify bp = Blueprint('api', __name__, url_prefix='/api') @bp.errorhandler(404) def handle_404_error(error): return jsonify({'error': 'Not found'}), 404
In the above example, when some requests apply to Blueprint api
, but the requested resource does not exist or is unavailable, Flask will call handle_404_error()
Returns a 404 HTTP response.
- Use abort() to handle errors
When we want to handle errors in the view function, we can use the abort()
function to help We immediately abort the action, throw a specific error and return the specified error message.
from flask import abort @app.route('/user/<id>') def get_user(id): user = User.query.get(id) if not user: abort(404, description="User does not exist") return render_template('user.html', user=user)
In the above example, we check whether the user with the specified id exists. If not, the abort(404)
function will throw a 404 error, abort the action, and return a 404 error page to the user. Custom error messages can be passed using the description
parameter.
- Custom error page
Finally, we can handle errors that occur during the request by customizing the error page. Flask provides a simple method to specify an error page:
@app.errorhandler(404) def not_found_error(error): return render_template('404.html'), 404
In the above example, we defined a 404
error handling function to present the user with a specified 404.html
page. In this page, you can add custom information, such as prompting the user that the page they are looking for does not exist, recommending some similar pages or websites, and providing links back to other pages, etc.
In Flask, error handling is a very important topic. By using the above tips, you can better handle request errors and provide a better user experience. So, please don’t ignore error handling!
The above is the detailed content of Flask error handling skills. 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

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),

SublimeText3 English version
Recommended: Win version, supports code prompts!

WebStorm Mac version
Useful JavaScript development tools

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

SublimeText3 Linux new version
SublimeText3 Linux latest version