This project shows how to setup a Django Channels project with a Celery task queue. The user can start a long running background task and get immediate notification when the task completes without a browser refresh.
You can see an example deployment at http://tasker.vincenttide.com. Note that this deployment contains some extra stuff not covered in this repository.
To run this project you will need to install Redis. It is used both as the Channels layer backend and as the Celery broker.
Then just run:
pip install -r requirements.txt
python manage.py makemigrations
python manage.py migrate
python manage.py runserver # Start daphne and workers
celery worker -A example -l info # Start celery workers
The code block below shows how to send a reply back to the browser that originated the task request. message.reply_channel.name
contains a unique address in the form of websocket.send!hjnsMbQPiefT
.
Channel(reply_channel).send({
"text": json.dumps ({
"action": "completed",
"job_id": job.id,
"job_name": job.name,
"job_status": job.status,
})
})