Python Celery Asynchronous Tasks with RabbitMQ Broker

Running asynchronous task with Celery Worker and RabbitMQ. It strongly recommended for long running tasks.

Prerequisite:
RabbitMQ Server (localhost, heroku or other rabbitmq server)

Step 1: Preparation
create virtualenv: virtualenv venv
start virtualenv: venv/Scripts/activate
install celery in virtualenv: pip install celery sqlalchemy eventlet
Create App Folder: mkdir app
Go to myproject folder: cd app

Step 2: Create tasks.py file

Step 3: Run celery worker

Open new cmd/terminal and go to virtualenv shell follow with python shell
start virtualenv: venv/Scripts/activate
Go to myproject folder: cd app
Run celery worker with following command: celery -A tasks worker — loglevel=info -P eventlet

Step 4: Send message task to queued and let celery worker run

Open new cmd/terminal and go to virtualenv shell follow with python shell
start virtualenv: venv/Scripts/activate
Go to myproject folder: cd app
Go to python shell: python

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