Django Celery Redis App
This is a deployable docker containerized django app server working with asychronous jobs using celery worker
managed by celery server using redis server as broker service 

Django creates a task (Python function) and tells Celery to add it to the queue. Celery puts that task into Redis (freeing Django to continue working on other things). On a separate server, Celery runs workers that can pick up tasks. Those workers listen to Redis. When the new task arrives, one worker picks it up and processes it, logging the result back to Celery

python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install wheel    
pip install celery
pip install redis
pip install django-celery-beat
pip install django-celery-results

django-admin startproject proj .
django-admin startproject myapp .
python manage.py migrate
python manage.py runserver

add this line to add redis as celery broker:
`CELERY_BROKER_URL = 'redis://localhost:6379'`

python manage.py shell
>>> from proj.celery import debug_task
We use .delay() to tell Celery to add the task to the queue.

We got back a successful AsyncResult — that task is now waiting in Redis for a worker to pick it up!
>>> debug_task.delay() (should see `<AsyncResult: c6ef74b9-4c03-402a-b1db-9e2adbf52f75>`)

`celery -A proj.celery worker --loglevel=info`

`celery -A proj worker -l info`  (Test that the Celery worker is ready to receive tasks:)
`celery -A proj beat -l info`    (Kill the process with CTRL-C. Now, test that the Celery task scheduler is ready for action:)
`celery -A proj worker --beat -l info -S django` (This is for combined action)

docker-compose run django
docker-compose up
docker exec -it django sh
# python manage.py shell
>>> from myapp.tasks import add
>>> add.delay(2,2)