Simple Django Project with Celery

This is a simple django project that use Celery to execute asynchronous jobs. Celery is a powerful, production-ready asynchronous job queue, which allows you to run time-consuming Python functions in the background.

⚠ Warning this samples was using:

Celery 4.1.1
Django 2.0.6
Python 3.6.6

Prerequisites

Install Python

Install Python (if you're in linux, python 2.7 is already installed), pip, django (and run ./manage.py syncdb), celery, and django-celery

Install Broker

Choose your celery broker and install that: RabbitMQ, Redis, others...

For this sample, I choose Redis. The first piece of software we’ll install is Redis.

$ sudo aptitude install redis-server

Setup Celery

Setup django-celery part 1: http://docs.celeryproject.org/en/latest/django/first-steps-with-django.html#using-the-django-orm-cache-as-a-result-backend

Setup django-celery part 2: https://github.com/celery/django-celery/blob/master/README.rst#using-django-celery

Start All Things

Start Django

Start Django: ./manage.py runserver (and ./manage.py runserver $IP:$PORT in Cloud 9)

Start Redis

$ redis-server --version

Execute Celery

How to execute Celery on terminal.

celery --app=celarysample.celery:app  -A celerysample worker -l info

How to test on Shell

$ python manage.py shell

>>> from core.tasks import add
>>> add.delay(1,1)

diogocatapreta/simple-django-with-celery