flask-celery VS lodash

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.

Lodash.js is like the Swiss Army knife for JavaScript developers. Need to manipulate data structures or dabble in functional programming? Lodash is here to save the day with its arsenal of utilities. It's all about making your code cleaner and your life easier, which is probably why big guns like Google and Airbnb have it in their toolkit.

lodash - utility library enabling things like deep object comparison that aren't easy to do with javascript out of the box. docs

Lodash is a widely used JavaScript utility library that provides a plethora of functions to simplify common programming tasks. From manipulating arrays and objects to handling edge cases and implementing functional programming paradigms, Lodash offers a comprehensive toolkit for JavaScript developers. In this beginner's guide, we'll learn how to get started with Lodash and leverage its functionality to write cleaner, more efficient, and more maintainable code.

5. Lodash

If you want even more sophisticated equality checks like deep comparisons, there's the: lodash.iseQual library that'll do this for you out of the box. At least now you do have a bit of clarity on what's happening under the hood, so there's no harm in using a library.

It's also important to ensure that you're importing libraries correctly, so webpack can perform tree shaking effectively. For example, let's import lodash, as follows:

Lodash is awesome! It’s a JavaScript library that helps you do many things with data. You can use Lodash to manipulate arrays, objects, JavaScript strings, numbers, and more. It’s easy to get Lodash in your project. You can use npm or a CDN to install and import it. Here’s how:

Think of RxJS as Lodash for events.

lodash and You Might Not Need Lodash

A lot of Lodash functions are implemented as combinations of other Lodash functions, so importing a single function actually imports half of Lodash under the hood:

https://github.com/lodash/lodash/blob/main/src/.internal/bas...