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How Can I Achieve 'Fire and Forget' with Async/Await in Python?

Mary-Kate Olsen
Mary-Kate OlsenOriginal
2024-11-14 10:21:01912browse

How Can I Achieve

Async/Await "Fire and Forget" in Python

Problem Statement

Async/await provides a convenient syntax for asynchronous programming in Python. However, there are situations where we want to initiate an asynchronous operation without waiting for its completion. This is often referred to as "fire and forget."

Solution Using asyncio.Task

Python provides asyncio.Task, which allows us to create a task that will execute in the background. Using asyncio.Task, we can achieve "fire and forget" by adding the following code to our script:

import asyncio

async def async_foo():
    # Do some asynchronous stuff here

# Create a task for async_foo()
asyncio.ensure_future(async_foo())

This creates a task for async_foo() that will execute asynchronously without blocking the main thread.

Handling Pending Tasks

If our script completes before all tasks are finished, we can use the following code to await all pending tasks:

pending_tasks = asyncio.Task.all_tasks()
loop.run_until_complete(asyncio.gather(*pending_tasks))

This ensures that all tasks have completed before the script exits, preventing any warnings or errors.

Cancelling Tasks

In some cases, we may not want to wait for tasks to complete. We can cancel them using the following code:

for task in pending_tasks:
    task.cancel()
    with suppress(asyncio.CancelledError):
        loop.run_until_complete(task)

This cancels the tasks and suppresses any errors that may be raised as a result of the cancellation.

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