Concepts in Tornado & asyncio

Concepts in Tornado & asyncio

The Tornado framework in Python supports asynchronous processing, allowing you to run tasks periodically. In this article, we will explore how we use Asyncio periodically in Tornado, and I will provide clear examples with appropriate output screenshots....

Steps for periodically executing a function with Asyncio in Tornado

Import Required Libraries: Begin by importing the necessary libraries, including tornado.ioloop, tornado.web, and asyncio. Define Your Function: Create the function you want to execute periodically. This function should be defined as an async coroutine. Create the Main Coroutine: Define a coroutine (often named main) that will orchestrate the periodic execution of your function. Set Up the Event Loop: Get the current Tornado event loop using tornado.ioloop.IOLoop.current(). Incorporate a Loop: Within the main coroutine, set up a loop, typically a while True loop. Invoke Your Function: Inside the loop, use awaits to invoke your target function asynchronously. Introduce a Delay: After invoking your function, introduce a delay using await asyncio.sleep(seconds) to control the frequency of execution. Application Setup: Check if the script is being run as the main module using if __name__ == “__main__”. Start the Periodic Task: If it’s the main script, create a Tornado web application and listen on a specific port. Then, use asyncio.ensure_future(main()) to start the periodic execution of your function. Start Tornado IOLoop: Finally, initiate the Tornado IOLoop with tornado.ioloop.IOLoop.current().start() . This keeps the application running and allows for the periodic execution of your function....