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README.md

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[AASS] Analysis Service

master pipeline

Prerequisites

Installation and configuration

  1. Set your environment variables by creating your own .env file in root similar to .env.example.

    • Specify DJANGO_SECRET_KEY. It can be generated as base64 /dev/urandom | head -c50.
    • All Other configuration in .env.example is ready for local development.
  2. Build and run docker containers

    • Run following command in base directory of this project:
    docker-compose up --build -d
    
    • Docker image for this application will be automatically built. Then, all necessary infrastructure (e.g. database) will be run along with web application.
  3. Run database migrations

    • Create all necessary tables in database by executing:
    docker-compose exec web pipenv run migrate
    

Development

  1. Run docker-compose up in base directory of this project.

  2. Visit http://localhost:8000 in your browser.

  3. To stop the server, use docker-compose down

Seeding the database with data

We created a fake real world data. The fixtures are present in /fixtures directory.

docker-compose exec web pipenv run loaddata

Database cleanup

If something went wrong with migrations, you can remove all migrations using following command:

docker-compose exec web pipenv run reset

Code formatting

Before committing, format code using black formater:

docker-compose exec web pipenv run lint

Unit tests

Run unit tests using following command:

docker-compose exec web pipenv run test