How to deal with Session and Cookie in Python
Session and Cookie
In Web development, Session and Cookie are two common technologies that are used to transfer data between the client and the server. Session is a server-side technology that saves user data on the server side, while Cookie is a client-side technology that saves user data in the browser.
Usage of Session
Session is a technology that saves user data on the server side. In Django, Session is implemented through SessionMiddleware
, which reads the user's Session data from storage before each request is processed and saves it in request. session
attribute, so that the view function can access the Session data.
Activate SessionMiddleware
To use Session, you need to activate SessionMiddleware
in the configuration file of the Django project, so that Django will automatically create a Session object for each request. Add django.contrib.sessions.middleware.SessionMiddleware
to MIDDLEWARE
to activate SessionMiddleware
.
MIDDLEWARE = [ # ... 'django.contrib.sessions.middleware.SessionMiddleware', # ... ]
Session configuration
Django’s Session has a variety of storage methods, including databases, caches, file systems, etc. In the Django configuration file, you can specify the storage method of Session through SESSION_ENGINE
, and specify the expiration time of Session through SESSION_COOKIE_AGE
.
SESSION_ENGINE = 'django.contrib.sessions.backends.cache' SESSION_CACHE_ALIAS = 'default' SESSION_COOKIE_AGE = 86400
The above configuration indicates that the Session is stored in the cache, using the default cache, and the Session expiration time is 1 day.
Using Session
Using Session in the view function is very simple, you only need to access the request.session
property. The following is an example of using Session:
def index(request): count = request.session.get('count', 0) request.session['count'] = count + 1 return HttpResponse('count: %d' % count)
In the above example, we accessed the request.session
property and used the get
method to obtain the object named count
Session data. If the count
data does not exist in the Session, the get
method will return the default value 0. Then, we increment count
by 1 and save it to the Session. When the user accesses the view function again, we can obtain the previously saved count
data, then add 1 to it and update it to the Session.
It should be noted that the data saved in Session has a size limit. In the Django configuration file, you can specify the Session size limit through SESSION_COOKIE_MAX_SIZE
. If the data saved in the Session exceeds the limit, a SuspiciousOperation
exception will be thrown.
Use of Cookie
Cookie is a technology that saves user data on the client side. In Django, you can use HttpRequest
and HttpResponse
objects to read and write cookies.
Read Cookie
In the HttpRequest
object, all cookies can be accessed through the COOKIES
attribute. The following is an example of reading Cookie:
def index(request): count = request.COOKIES.get('count', 0) response = HttpResponse('count: %d' % count) response.set_cookie('count', count + 1) return response
In the above example, we accessed the request.COOKIES
property and used the get
method to obtain the cookie named count
of cookies. If count
data does not exist in the cookie, the get
method will return the default value 0. We then increment count
by 1 and save it to the cookie. Finally, we return a HttpResponse
object and use the set_cookie
method to save the updated count
to the cookie.
It should be noted that the data saved in Cookie also has size limits. Cookie size limits may differ in different browsers. In Django, you can specify the cookie size limit through SESSION_COOKIE_MAX_SIZE
. If the data saved in the cookie exceeds the limit, a SuspiciousOperation
exception will be thrown.
Writing Cookie
In the HttpResponse
object, you can use the set_cookie
method to write Cookie. The following is an example of writing to Cookie:
def index(request): response = HttpResponse('Hello, world!') response.set_cookie('name', 'value', max_age=3600, expires=None, path='/', domain=None, secure=False, httponly=False, samesite=None) return response
In the above example, we create a HttpResponse
object and use the set_cookie
method to set the value named ## Cookies with #name and value
value are written into the response.
max_ageThe parameter specifies the maximum lifespan of the cookie, in seconds.
expiresThe parameter specifies the expiration time of the cookie. If not specified, it means that the cookie expires when the browser is closed. The
path parameter specifies the cookie's action path, that is, only requests under the specified path will carry the cookie. The
domain parameter specifies the scope of the cookie, that is, only requests to access the specified domain name will carry the cookie.
secureThe parameter specifies whether the cookie can only be transmitted through the HTTPS protocol.
httponlyThe parameter specifies whether the cookie can only be accessed through the HTTP protocol and not through JavaScript.
samesiteThe parameter specifies the SameSite attribute of the cookie, that is, it specifies whether the cookie can only be used within the same site.
Selection of Session and Cookie
When using Session and Cookie, you should choose the appropriate technology based on the specific application scenario. Generally speaking, if you need to store a large amount of data or need to ensure data security, you should use Session technology; if you need to store a small amount of data or need to share data between clients, you should use Cookie technology.
In addition, it should be noted that both Session and Cookie have security risks. If the Session or Cookie is intercepted by a malicious attacker, the user's data will be leaked. Therefore, when using Sessions and Cookies, appropriate security measures should be selected based on specific application scenarios, such as using the HTTPS protocol to transmit data, setting the HttpOnly attribute of Cookies, etc.
The above is the detailed content of How to deal with Session and Cookie in Python. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics











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.

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.

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 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.

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.

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.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

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".
