4. Deployment

The web-application deployment process is based on the following documentations and is tested on Ubuntu 16.04 LTS:

  1. http://masnun.rocks/2016/11/02/deploying-django-channels-using-daphne/
  2. http://channels.readthedocs.io/en/stable/deploying.html
  3. https://medium.com/@saurabhpresent/deploying-django-channels-using-supervisor-and-ngnix-2f9a25393eef
  4. https://medium.com/@dwernychukjosh/setting-up-nginx-gunicorn-celery-redis-supervisor-and-postgres-with-django-to-run-your-python-73c8a1c8c1ba
  5. https://www.vultr.com/docs/installing-and-configuring-supervisor-on-ubuntu-16-04

It is advised to read these guides. See the next sections for an example to get started quickly.

4.1. Install Redis [message broker]

Install redis: sudo apt-get install redis-server

Create a virtual environment and install the following:

pip3 install asgi_redis
pip3 install -U channels_redis

Test redis:

redis-cli ping

Return value should be : PONG

Make sure redis is a daemon, see redis.conf.

4.2. Install Django dependencies & prepare SQLlite

In the same virtual env., change directory towards the project root: pip3 install -r requirements.txt

Change directory to project folder for preparation SQLlite with Django:

python3 manage.py makemigrations
python3 manage.py migrate

Create superuser for administration purposes:

python3 manage.py createsuperuser

4.3. Management commands and prepare static resources

Populating database classifications:

python3 manage.py populateHierarchies

Adjust settings.py in project:

PATH_TO_L = ‘<full path to L matrix>’
PATH_TO_B = ‘<full path to B matrix>
PATH_TO_Y = ‘<full path to Y matrix>’
DEBUG = False
ALLOWED_HOSTS = [<domain>]

Install node.js (node version: 3.10.10 or higher), if not already installed:

sudo apt-get install nodejs

Prepare static resources:

$npm install

Set webpack conf settings for production:

  • Configure webpack.config.js for ajax url and websocket url at webpack.DefinePlugin().
  • Adjust process environment to “production” at webpack.DefinePlugin().
  • Make sure that new UglifyJsPlugin() is set.

Built React bundle:

./node_modules/.bin/webpack --config webpack.config.js

Django collect static: python3 manage.py collectstatic

4.4. Install and setup nginx [HTTP and Reverse Proxy Server]

Installing nginx requires apache to be stopped if running:

sudo service apache2 stop

Install nginx:

sudo apt-get install nginx

Configure nginx, make sure proxy_pass is set to this:

See example configuration file example_nginx

Check status of nginx: sudo nginx -t

Allow Nginx to interact with the host machine on the network: sudo ufw allow ‘Nginx Full’

4.5. Setting up Daphne and Celery

Make sure Daphne is installed and start daphne (in virtualenv):

daphne -b -p 8001 ramasceneMasterProject.asgi:application

Start Celery in virtual env.:

celery -A ramasceneMasterProject worker -l info  --concurrency=2

Be careful with CPU load if you raise concurrency.

Test the application to see if everything is running correct in a web-browser.

4.6. Daemonizing

Celery, Daphne need to be deamonized. For example with supervisor. See example configuration file example_supervisord

4.7. RaMa-Scene memory usage

The memory usage of the application is approximately 1.8G, namely due to loading raw data in memory. Loading in raw data objects in memory improves calculations speeds. The following measurements are taken:

  • Daphe (Interface server for making Django available): increase from (default) 462M to 1.24G
  • Celery (background processor): increase from 1.24G to 2.24G