ongraphpythondev / django_celery

Celery Integration with Django

Celery communicates via messages, usually using a broker to mediate between clients and workers. To initiate a task a client puts a message on the queue, the broker then delivers the message to a worker.

A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling.

Prerequisites:

You will need the following programmes properly installed on your computer.

• Python 3.6+

• Virtual Environment

To install virtual environment on your system use:

apt-get install python3-venv

• RabbitMQ

To install and run RabbitMQ in Ubuntu environment

# Installing RabbitMQ
apt-get install -y erlang
apt-get install rabbitmq-server

# Enabling and starting RabbitMQ Service
systemctl enable rabbitmq-server
systemctl start rabbitmq-server

Installation and Running :

git clone https://github.com/ongraphpythondev/django_celery.git

cd django_celery

python3 -m venv venv

source venv/bin/activate

# Install required packages for the project to run
pip install -r requirements.txt

python manage.py migrate

python manage.py runserver

Run Celery worker to work in background

After running python server, you have to open a new terminal and has to start the celery server so that it can run in background

celery -A django_celery worker -l info

Open Browser and Type http://127.0.0.1:8000