Home Backend Development Python Tutorial Python server programming: API documentation using django-rest-swagger

Python server programming: API documentation using django-rest-swagger

Jun 18, 2023 pm 10:55 PM
python api django

With the development of the Internet, Web applications and APIs are becoming more and more common. Python is a popular programming language that can be used to build web applications and APIs. In Python, Django is a powerful web framework that provides many useful features, including models, views, and templates that simplify web development. On the other hand, API documentation is an important task that helps developers understand the functionality and usage of the API. In this article, we will introduce how to use django-rest-swagger to document the API.

  1. Install django-rest-swagger

First, you need to install django-rest-swagger. You can use pip to install:

pip install django-rest-swagger
Copy after login
  1. Integrate django-rest-swagger

Add the following content to Django’s settings.py file:

INSTALLED_APPS = [
    # ...
    'rest_framework',
    'rest_framework_swagger',
]

MIDDLEWARE = [
    # ...
    'corsheaders.middleware.CorsMiddleware',
    'django.middleware.common.CommonMiddleware',
]

SWAGGER_SETTINGS = {
    'USE_SESSION_AUTH': False, #关闭session认证
    'APIS_SORTER': 'alpha',
    'JSON_EDITOR': True
}
Copy after login

Then, add the following content to Django's urls.py file:

from rest_framework_swagger.views import get_swagger_view

schema_view = get_swagger_view(title='API Document')
urlpatterns = [
    # ...
    url(r'^docs/', schema_view),
]
Copy after login

After completing the above configuration, visit http://localhost:8000/docs/ to see the API documentation page.

  1. Configuring swagger

Modify Django’s settings.py file and add the following content:

REST_FRAMEWORK = {
    'DEFAULT_SCHEMA_CLASS': 'rest_framework.schemas.coreapi.AutoSchema',
}
Copy after login

This will make the API return document data in coreapi format, This enables rendering in Swagger UI.

  1. Generate API documentation

Now you can start writing API views. Add some necessary metadata to the view, which will be used to generate API documentation. For example:

from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import authentication, permissions

class HelloWorld(APIView):
    """
    简要描述API的功能
    """
    authentication_classes = [authentication.TokenAuthentication]
    permission_classes = [permissions.IsAuthenticated]

    def get(self, request, format=None):
        """
        获取数据

        所需参数:
        * param1 - 参数1说明
        * param2 - 参数2说明

        返回数据:
        * status - response的状态
        """
        content = {'message': 'Hello, World!'}
        return Response(content)
Copy after login

In this view, some metadata is added, such as a brief description, parameter description, and return description. These metadata will be used by django-rest-swagger to generate API documentation.

  1. View API documentation

Now, you can visit http://localhost:8000/docs/ to view the API documentation. In the documentation page, you will see a list of all API views, each with its own methods, parameters, and return instructions. You can also test the API on the page to check if it is working properly.

Summary

Using django-rest-swagger can easily document the API so that developers can understand the usage and functions of the API. In this article, we introduce how to integrate django-rest-swagger in Django and generate API documentation. I hope this article can help readers better understand Python server programming and API documentation technology.

The above is the detailed content of Python server programming: API documentation using django-rest-swagger. For more information, please follow other related articles on 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 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)

Can vs code run in Windows 8 Can vs code run in Windows 8 Apr 15, 2025 pm 07:24 PM

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

How to run programs in terminal vscode How to run programs in terminal vscode Apr 15, 2025 pm 06:42 PM

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

Can visual studio code be used in python Can visual studio code be used in python Apr 15, 2025 pm 08:18 PM

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.

Is the vscode extension malicious? Is the vscode extension malicious? Apr 15, 2025 pm 07:57 PM

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

What is vscode What is vscode for? What is vscode What is vscode for? Apr 15, 2025 pm 06:45 PM

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages ​​and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

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: Concurrency and Multithreading Golang vs. Python: Concurrency and Multithreading Apr 17, 2025 am 12:20 AM

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

See all articles