Polling a Celery Task with Ajax

What will you learn?

In this tutorial, you will master the art of using Ajax to poll the status of a Celery task in Python. By combining Celery for task management and AJAX requests for updating task status on the frontend, you can significantly enhance user experience.

Introduction to the Problem and Solution

When dealing with lengthy tasks in web applications, providing feedback on task progress is vital. Leveraging Celery for task management and AJAX requests for real-time updates on the frontend can greatly improve user interaction. This tutorial delves into polling a Celery task using Ajax calls to bridge this gap effectively.

To implement this solution successfully, it is essential to grasp: – Asynchronous processing with Celery – Handling AJAX requests in Python web applications – Dynamically updating the frontend based on server-side data changes


# Import necessary libraries
from celery.result import AsyncResult
from django.http import JsonResponse

def poll_task_status(request):
    # Retrieve task_id from request parameters
    task_id = request.GET.get('task_id')

    # Check if valid task_id is provided
    if not task_id:
        return JsonResponse({'status': 'error', 'message': 'Task ID is required'})

    # Query Celery for the latest state of the task
    result = AsyncResult(task_id)

    # Return JSON response with current state of the task
    return JsonResponse({'status': result.status})

# Copyright PHD

Note: Find more insightful resources and tutorials at PythonHelpDesk.com.


To comprehend the code snippet above: 1. Import necessary libraries such as AsyncResult from celery.result to access information about asynchronous tasks. 2. The poll_task_status function extracts the task_id from the GET parameters of an HTTP request. 3. Validate that a valid task_id is provided before querying Celery for its current state using AsyncResult. 4. Finally, send back a JSON response containing the ongoing status of that specific Celery task.

By adopting this approach, you enable continuous monitoring and real-time updates on your frontend UI as background tasks execute asynchronously.

  1. How do I install Celery in my Python project?

  2. To install Celery via pip, execute:

  3. pip install celery 
  4. # Copyright PHD
  5. Can I use JavaScript fetch instead of jQuery.ajax for polling tasks?

  6. Certainly! You can utilize modern JavaScript’s fetch API as an alternative to jQuery.ajax for making asynchronous HTTP requests.

  7. Is it possible to cancel or stop a running Celery Task?

  8. Yes, you have the ability to revoke or terminate an active Celery Task programmatically using its unique identifier (task id).

  9. How often should I poll for updates on a long-running background process?

  10. The polling frequency varies based on application requirements but typically ranges between 1-10 seconds depending on responsiveness needs and server load considerations.

  11. Does polling tasks significantly impact server performance?

  12. Frequent polling may slightly increase server load due to enhanced client-server interactions; hence optimize your polling intervals accordingly.


In conclusion, seamlessly integrating asynchronous processing through tools like Celery alongside dynamic updates via Ajax enriches user engagement by offering real-time feedback on prolonged tasks within web applications. Effective communication between backend processes and frontend interfaces plays a pivotal role in crafting responsive and captivating web experiences.

Leave a Comment