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Task Description

We want to set up a server to run & serve a Django application which uses Celery for its background jobs.

The application source code we want to serve is located in this repo. Please refer to the About this repo section for more information.

What you should deliver is a private ansible repository that you added amirali and sazary users as collaborators.

If you have any questions or find any part of the task vague, don’t hesitate to get in touch with us.

Must have requirements:

  • The Django application should be running and serving views.
  • At least one Celery worker should be running.
  • A suitable broker for Celery should be selected. We recommend using Redis. Whatever you choose for it, security considerations (authentication, authorization, …) should be met.
  • A suitable database should be used. We recommend Postgresql. Whatever you choose for it, security considerations (authentication, authorization, …) should be met.
  • All of these modules should be running using systemd, Docker or any other solution you choose. Everything needed for installation & configuration of that solution must be provided in the final result.
  • Security considerations of the server itself should be met, as we’re going to expose this machine to the internet.

Nice to have requirements:

  • Having the application served behind a reverse proxy. We recommend Nginx.
  • Having a valid SSL certificate for views. The SSL/TLS connection should be terminated in the reverse proxy.
  • Having the server, application & any of the important components monitored. We recommend using Prometheus for monitoring.

Expected result

We don’t want to do any manual config on the server and will use Ansible for provisioning the server from a raw Ubuntu 22.04 installation. So, the final result we’re expecting from you is a repo with Ansible roles & playbook to do everything.

About this repo

This application does one simple thing: It will queue some tasks, each of which would just sleep for a duration that is given to it, and displays the results.

Setting up the project

Install all requirments. Please note that if you've decided to use some other database or broker from our recommendations, you may have to update the requirements.txt file accordingly.

$ pip install -r requirements.txt

Then ask the manage.py script to create tables. Please check the DATABASES section of the settings file for default values.

$ ./manage.py migrate

Running the project

To run the application (HTTP views):

$ gunicorn core.wsgi:application

To run the celery workers:

$ celery -A core worker

Using the project

To trigger a new task:

$ curl -F duration=1 http://localhost:8000/tasks/

To check the status:

$ curl http://localhost:8000/tasks/<TASK_ID>/