Table of Contents
Preface
Usage scenarios
Decorator case
The calling sequence used by multiple decorators
Home Backend Development Python Tutorial The calling order of multiple decorators in python

The calling order of multiple decorators in python

Feb 17, 2017 am 11:01 AM
python Decorator

Preface

Decorator is a function often used in program development, and it is also the basic knowledge of python language development. If decorators can be used reasonably in the program, it can not only improve development efficiency, but also It can make the code you write look high-end^_^

Usage scenarios

There are many places where decorators can be used. A simple example is the following scenario

  • Introducing logs

  • Function execution time statistics

  • Preparatory processing before executing the function

  • Cleaning function after executing the function

  • Permission verification and other scenarios

  • Cache

Decorator case

def user_login(fun):
    def islogin(request,*args,**kwargs):
        context = {}
        if request.session.has_key('uname'):
            context['uname'] = request.session.get('uname')
        else:
            context['uname'] = 'None'
        return fun(request,context,*args,**kwargs)
    return islogin
Copy after login

@user_login
def ucOrder(request,context,pIndex):
    '''
    获取数据
    处理数据
    传递到页面上去
Copy after login

The above is a case of using decorator in a simple e-commerce application, in which the ucOrder function can only be executed after the user logs in. If you don't use a decorator, the common approach may be to write a bunch of verification codes in ucOrder to determine whether the user is logged in, and then determine the subsequent execution logic, which is more troublesome.

Then it is relatively simple after using the decorator. You only need to follow the format of the decorator and add @user_login to the ucOrder function. Then when the python interpreter is running, it will explain it from top to bottom. The code first executes the user_login function, and passes in ucOrder as a parameter of the user_login function, which is equivalent to user_login(ucOrder). This serves as a function to verify whether the user is logged in and decide whether to execute the ucOrder function

The calling sequence used by multiple decorators

def one(func):
    print('----1----')
    def two():
        print('----2----')
        func()
    return two

def a(func):
    print('----a----')
    def b():
        print('----b----')
        func()
    return b

@one
@a
def demo():
    print('----3----')

demo()
Copy after login

Execution results:

/usr/bin/python2.7 /home/python/Desktop/tornadoProject/one.py
----a----
----1----
----2----
----b----
----3----
Copy after login

As you can see from the execution results, if multiple decorators are used, the execution order is still a little bit Weird, why is this happening?

Regarding this issue, there are better articles that can explain, Python decorator execution order myths


More python multiple decorator calling order For related articles, please pay attention to the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1269
29
C# Tutorial
1248
24
PHP and Python: Different Paradigms Explained PHP and Python: Different Paradigms Explained Apr 18, 2025 am 12:26 AM

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

Choosing Between PHP and Python: A Guide Choosing Between PHP and Python: A Guide Apr 18, 2025 am 12:24 AM

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

How to run sublime code python How to run sublime code python Apr 16, 2025 am 08:48 AM

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

PHP and Python: A Deep Dive into Their History PHP and Python: A Deep Dive into Their History Apr 18, 2025 am 12:25 AM

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Golang vs. Python: Performance and Scalability Golang vs. Python: Performance and Scalability Apr 19, 2025 am 12:18 AM

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Where to write code in vscode Where to write code in vscode Apr 15, 2025 pm 09:54 PM

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

How to run python with notepad How to run python with notepad Apr 16, 2025 pm 07:33 PM

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

See all articles