nan VS flask-celery

TypeScript has gained popularity in recent years, and to put things into perspective, it has over 29 million weekly downloads on npm. According to the Stack Overflow 2021 developer survey, it is ranked as the third most-loved programing language, beating Python, Node.js, and JavaScript itself. To learn how to set up TypeScript with node, see this article.

After sweating blood and tears I've finally managed to set up a Node C++ addon and shove a web-platform standard MediaStream object into one of its C++ methods for good. For compatibility across different V8 and Node.js versions, I'm using Native Abstractions for Node.js (nan):

Celery

How can I test if a task (task_id) is still processed in celery? I have the following scenario:

I recently integrated celery (django-celery to be more specific) in one of my applications. I have a model in the application as follows.

I am trying to write a small application that receives video files, and convert them to a uniform format after they have been uploaded (thus added to the database). I have searched the web for the best solution for this, and have decided to use Django's signals with Celery. But for now I'm trying to create a proof-of-concept to see if it works.

Since a few days ago the page no longer loads.

https://celeryproject.org/

I'm using Celery to manage asynchronous tasks. Occasionally, however, the celery process goes down which causes none of the tasks to get executed. I would like to be able to check the status of celery and make sure everything is working fine, and if I detect any problems display an error message to the user. From the Celery Worker documentation it looks like I might be able to use ping or inspect for this, but ping feels hacky and it's not clear exactly how inspect is meant to be used (if inspect().registered() is empty?).

I recently switch to Celery 3.0. Before that I was using Flask-Celery in order to integrate Celery with Flask. Although it had many issues like hiding some powerful Celery functionalities but it allowed me to use the full context of Flask app and especially Flask-SQLAlchemy.