


How to use scheduled tasks in FastAPI to perform background work
How to use scheduled tasks in FastAPI to perform background work
With the rapid development of Internet applications, many applications have some background tasks that need to be executed regularly, such as data cleaning, email sending, backup, etc. In order to solve this problem, we can use scheduled tasks to automatically execute background work. In this article, we will introduce how to use scheduled tasks in the FastAPI framework to perform background work.
FastAPI is a modern, fast (high-performance) web framework mainly used to build APIs. Its ease of use and efficiency make it ideal for building applications that perform tasks as background workers.
First, we need to install the required libraries. Execute the following command in the terminal to install FastAPI and other related libraries:
$ pip install fastapi $ pip install uvicorn $ pip install apscheduler
Before starting to write code, we need to first understand the APScheduler library, which is a simple and powerful scheduled task library for Python . This library can handle various types of scheduled task requirements, such as interval execution tasks, specified time execution tasks, scheduled trigger tasks, etc.
Next, we can start writing code.
First, we need to import the required modules:
from fastapi import FastAPI from apscheduler.schedulers.background import BackgroundScheduler
Then, create a FastAPI application object:
app = FastAPI()
Next, create a background task executor object :
scheduler = BackgroundScheduler()
Then, define a background task function:
def background_task(): # 这里可以编写你的后台任务逻辑 # 例如数据清理、邮件发送、备份等 pass
Next, we need to define an API interface to start the scheduled task:
@app.post("/start_task") async def start_task(): # 添加定时任务 scheduler.add_job(background_task, 'interval', minutes=30) # 启动任务调度器 scheduler.start() return {"message": "后台任务已启动"}
Finally, we need to define An API interface to stop scheduled tasks:
@app.post("/stop_task") async def stop_task(): # 关闭任务调度器 scheduler.shutdown() return {"message": "后台任务已停止"}
Now, we have written a FastAPI application that uses scheduled tasks to perform background work. We can use the following command to start the application:
$ uvicorn main:app --reload
Then, we can use tools such as Postman or a browser to access the interface to start and stop scheduled tasks.
By accessing the http://localhost:8000/start_task
interface, we can start the scheduled task. The scheduled task will execute a background task every 30 minutes.
By accessing the http://localhost:8000/stop_task
interface, we can stop the scheduled task.
To summarize, this article introduces how to use scheduled tasks in the FastAPI framework to perform background work. By using the APScheduler library, we can easily implement automated execution of scheduled tasks. Hope this article is helpful to you!
The above is the detailed content of How to use scheduled tasks in FastAPI to perform background work. 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

Summary of some reasons why crontab scheduled tasks are not executed. Update time: January 9, 2019 09:34:57 Author: Hope on the field. This article mainly summarizes and introduces to you some reasons why crontab scheduled tasks are not executed. For everyone Solutions are given for each of the possible triggers, which have certain reference and learning value for colleagues who encounter this problem. Students in need can follow the editor to learn together. Preface: I have encountered some problems at work recently. The crontab scheduled task was not executed. Later, when I searched on the Internet, I found that the Internet mainly mentioned these five incentives: 1. The crond service is not started. Crontab is not a function of the Linux kernel, but relies on a cron.

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
