fastapi.BackgroundTasks¶ BackgroundTasks(tasks=None) Bases:BackgroundTasks A collection of background tasks that will be called after a response has been sent to the client. Read more about it in theFastAPI docs for Background Tasks. ...
FastAPIwill create the object of typeBackgroundTasksfor you and pass it as that parameter. Create a task function¶ Create a function to be run as the background task. It is just a standard function that can receive parameters. It can be anasync defor normaldeffunction,FastAPIwill know ...
FastAPI 会将所有后台任务合并在一起,然后在后台会按 add_task 的顺序运行 查看BackgroundTasks 源码 BackgroundTasks 是继承 BackgroundTask,而 BackgroundTask 是直接来自 starlette.background add_task() 第一个参数 func 类型是 Callable,可调用对象,一般传函数就好啦 内部会声明一个 BackgroundTask 对象,自动调...
Cloud Studio代码运行 defmy_background_task(task_id:str):""" 测试background_task """begin_time=time.time()time.sleep(random.randint(1,5))end_time=time.time()print(f'task_id:{task_id}, task finished, time cost:{end_time-begin_time}s')defget_q(background_tasks:BackgroundTasks,q:st...
background_task: BackgroundTasks, q:str= Depends(get_query)):# 执行一次后台任务message =f"message to{email}\n"background_task.add_task(write_log, message)return{"message":"Message sent"}if__name__ =='__main__': uvicorn.run(app="35_background_task:app", reload=True, host="127.0...
导入和定义:首先,你需要从fastapi导入BackgroundTasks并在路径操作函数中定义一个参数,类型声明为BackgroundTasks。 from fastapi import BackgroundTasks, FastAPI app = FastAPI() 1. 2. 创建后台任务函数:创建一个函数作为后台任务,它可以是普通的函数或异步函数。
background_tasks.add_task(write_notification, data) return {"message": "Notification sent in the background"} 在上述示例中,消息将在发送响应后log.txt写入文件。 如果请求成功,它将在后台任务中写入日志。 然后在路径操作函数中生成一个后台任务将使用data数据写入一条消息。
该文档主要对fastapi的后台模块《BackgroundTasks》一些源码的理解, 这样也可以加深理解异步及后台任务处理的理解。 使用导入例子: from fastapi import BackgroundTasks from fastapi import BackgroundTasks, FastAPI app = FastAPI() def write_file(data: str): with open("log.txt", mode="w") as w: w....
from fastapi import FastAPI, BackgroundTasks app = FastAPI() def write_notification(email: str, message: str = ""): # 1、模拟和邮件服务器建立连接 time.sleep(3) with open("text.txt", mode="w") as f: # 2、模拟发送邮件 content = f"message is {message}" ...
在FastAPI中实现背景任务可以使用Python的asyncio库来实现。以下是一个简单的示例代码: from fastapi import BackgroundTasks, FastAPI import asyncio app = FastAPI() def background_task(): # 模拟一个长时间运行的任务 asyncio.sleep(5) print("Background task completed") @app.post("/send-notification/{...