什么是异步运行一些Python代码的正确方法？ [英] What's the proper way to run some Python code asynchronously?

问题描述

我需要从我的Flask应用程序发送邮件，所以我想最简单的方法是使用smtplib发送邮件。但是我不得不这样做 - 你不能在请求中插入一个3秒的延迟 - 对吧？所以我把电子邮件添加到一个队列（psql表），并从另一个程序读取此表并使用smptlib发送它。

第二个程序（maildonkey）正在运行作为一个独立的进程，在一个独立的新贵服务。

现在我需要另一个小asynchoronous服务，我在想如果我应该写另一个python脚本第三，计数我的Flask应用程序和'maildonkey'），还是应该使用类似Python的'multiprocess'，甚至'线程'，并重写第二个程序？ >（当我在Clojure编程时，我可以很容易地运行代码在一个单独的线程与'期货'，所以通常我会做到这一点。）

解决方案

您应该考虑使用芹菜。它被广泛用于异步处理的web框架，并支持许多不同的后端，如AMQP，数据库等。

I needed to send mail from my plain Flask app, so I thought the simplest way would be to send it using smtplib. But I had to do it asynchronously - you can't just insert a 3 second delay into the request - right? So I add the email to a queue (psql table), and send it from another program that reads this table and uses smptlib.

This second program (maildonkey) is running as a separate process, in an independent upstart service.

Now I need another one of those little asynchoronous services, and I'm thinking if I should write another python script (third, counting my Flask app and 'maildonkey') or should I use something like Python's 'multiprocess', or even 'threads' and rewrite the second program?

(When I was programming in Clojure, I could easily run code in a separate thread with 'futures', so normally I would do that.)

解决方案

You should consider using Celery. It is very widely used in web frameworks for asynchronous processing and supports a lot of different backends like AMQP, databases etc.

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