Holds all the metadata for the music collections and compilations that I have; Exposes stats that are extensible; Used as a vehicle to learn the Django web framework.

Prerequisite

• Docker installed

1. build the app on docker docker-compose up -d --build
2. Run the migrations docker-compose exec web python manage.py makemigrations docker-compose exec web python manage.py migrate
3. Ingest collections docker-compose exec web python scripts/ingest_all_collections.py --clear

Application is then available on http://127.0.0.1:8000/lib

After installing the app (See run locally), run docker-compose exec web python manage.py test

The application is currently running on Heroku - https://musika-3.herokuapp.com/lib/

Created the app on heroku; See that you need to have all data on master

• heroku create musika-3
• Then adding 'musika-3.herokuapp.com', 'localhost', '127.0.0.1' to allowed hosts in settings.py;
• heroku config:set DISABLE_COLLECTSTATIC=1
• git push heroku master

Took the following values from the heroku postgres settings page

• heroku config:set MUSIKA_DB_NAME=***
• heroku config:set MUSIKA_DB_USER=***
• heroku config:set MUSIKA_DB_PASSWORD=***
• heroku config:set MUSIKA_DB_HOST=***
• heroku config to verify the current config vars

Add migrations and create super user

• heroku run python manage.py migrate
• heroku run python manage.py createsuperuser

Seed the DB

• heroku config:set DJANGO_SETTINGS_MODULE=musika.settings
• heroku run python scripts/ingest_collections.py all

The target state for the first development phase is to have all my compilations available on the webserver, being able to navigate in between collections to songs to artists. Importantly, the application will expose interesting facts about the collections such as popular artists, popular genres, duplicate songs etc. A more comprehensive list is available in Development - stats features.