How to use Flask-APScheduler in your Python 3 Flask application to run multiple tasks in parallel, from a single HTTP request
When you build an API endpoint that serves HTTP requests to work on long-running tasks, consider using a scheduler. Instead of holding up a HTTP client until a task is completed, you can return an identifier for the client to query the task status later. In the meantime, your HTTP server can offload the task to a scheduler which will complete it and update the status.
In this post, we look at how we can get
Flask-APScheduler to run multiple tasks in parallel, from a single HTTP request.