


How to achieve reasonable splitting and modular organization of requests in FastAPI
How to achieve reasonable splitting and modular organization of requests in FastAPI
Introduction:
FastAPI is a high-performance web framework based on Python, which provides asynchronous support and automated API document generation , so when developing large projects, we need to consider how to reasonably split and modularize requests. This article will introduce a method to achieve reasonable splitting and modular organization of requests in FastAPI, and give corresponding code examples.
1. Why we need reasonable splitting and modular organization of requests
As the scale of the project increases, the number and complexity of the API will also increase. If all request processing functions are written in one file, the code will be lengthy, poorly readable, and difficult to maintain. In addition, if a request involves the operation of multiple database tables, the logic can be separated through reasonable splitting to reduce coupling.
2. How to reasonably split and modularize requests
- Create an app folder to store all request processing functions.
- In the app folder, create a file named main.py to define the FastAPI application instance app.
main.py sample code is as follows:
from fastapi import FastAPI app = FastAPI() # 引入其他模块中的路由 from app import module1, module2 app.include_router(module1.router) app.include_router(module2.router)
- In the app folder, create multiple modular files to store the corresponding request processing functions.
Taking module1.py as an example, the sample code is as follows:
from fastapi import APIRouter router = APIRouter() @router.get("/api/module1/") def module1_handler(): return {"message": "This is module 1."}
- In each modular file, further splitting can be performed according to requirements.
Taking module2.py as an example, the sample code is as follows:
from fastapi import APIRouter router = APIRouter() @router.get("/api/module2/") def module2_handler(): return {"message": "This is module 2."} @router.get("/api/module2/{id}") def module2_detail_handler(id: int): return {"message": f"This is detail page of module 2 with id {id}."}
- Finally, introduce modular files and add routes in the main file main.py.
from fastapi import FastAPI app = FastAPI() from app import module1, module2 app.include_router(module1.router) app.include_router(module2.router)
3. Summary
By reasonably splitting and modularizing requests, the code structure can be made clearer, logical separation can be achieved, and the readability and maintainability of the code can be improved. In FastAPI, we can use APIRouter to create modular routes and add them to the application through app.include_router(). This approach can help us better organize and manage request processing functions.
Reference materials:
https://fastapi.tiangolo.com/tutorial/bigger-applications/
The above is the detailed content of How to achieve reasonable splitting and modular organization of requests in FastAPI. 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





How to use Nginx with FastAPI for reverse proxy and load balancing Introduction: FastAPI and Nginx are two very popular web development tools. FastAPI is a high-performance Python framework, and Nginx is a powerful reverse proxy server. Using these two tools together can improve the performance and reliability of your web applications. In this article, we will learn how to use Nginx with FastAPI for reverse proxy and load balancing. What is reverse generation

How to achieve high concurrency and load balancing of requests in FastAPI Introduction: With the development of the Internet, high concurrency of web applications has become a common problem. When handling a large number of requests, we need to use efficient frameworks and technologies to ensure system performance and scalability. FastAPI is a high-performance Python framework that can help us achieve high concurrency and load balancing. This article will introduce how to use FastAPI to achieve high concurrency and load balancing of requests. We will use Python3.7

How to use push notifications in FastAPI to update data in real time Introduction: With the continuous development of the Internet, real-time data updates are becoming more and more important. For example, in application scenarios such as real-time trading, real-time monitoring, and real-time gaming, we need to update data in a timely manner to provide the most accurate information and the best user experience. FastAPI is a modern Python-based web framework that provides a simple and efficient way to build high-performance web applications. This article will introduce how to use FastAPI to implement

How to implement request security protection and vulnerability repair in FastAPI Introduction: In the process of developing web applications, it is very important to ensure the security of the application. FastAPI is a fast (high-performance), easy-to-use, Python web framework with automatic documentation generation. This article will introduce how to implement request security protection and vulnerability repair in FastAPI. 1. Use the secure HTTP protocol. Using the HTTPS protocol is the basis for ensuring application communication security. FastAPI provides

How to implement file upload and processing in FastAPI FastAPI is a modern, high-performance web framework that is easy to use and powerful. It provides native support for file upload and processing. In this article, we will learn how to implement file upload and processing functions in the FastAPI framework, and provide code examples to illustrate specific implementation steps. First, we need to import the required libraries and modules: fromfastapiimportFastAPI,UploadF

How to implement request failure recovery and retry in FastAPI Introduction: In developing web applications, we often need to communicate with other services. However, these services may experience failures, such as temporary network outages or response timeouts. To keep our applications reliable, we need to recover from failures and retry when necessary. In this article, we will learn how to implement failover and retry of requests in FastAPI. FastAPI is a modern web application based on Python

How to use caching in FastAPI to speed up responses Introduction: In modern web development, performance is an important concern. If our application cannot respond to customer requests quickly, it may lead to a decline in user experience or even user churn. Using cache is one of the common methods to improve the performance of web applications. In this article, we will explore how to use caching to speed up the response speed of the FastAPI framework and provide corresponding code examples. 1. What is cache? A cache is a cache that will be accessed frequently

Introduction to how to implement load balancing and high availability in FastAPI: With the development of Internet applications, the requirements for system load balancing and high availability are getting higher and higher. FastAPI is a high-performance Python-based web framework that provides a simple and powerful way to build, deploy and scale web applications. This article will introduce how to implement load balancing and high availability in FastAPI and provide corresponding code examples. Using Nginx to achieve load balancingNginx is a popular
