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Bullet Train REST API

Development Environment

The following steps require an instance of postgres to be running locally on the default port (5432)

pip install pipenv
pipenv install
pipenv shell
python src/manage.py migrate
python src/manage.py runserver

The application can also be run locally using Docker Compose if required, however, it's beneficial to run locally using the above steps as it gives you hot reloading. To run using docker compose, simply run the following command from the project root:

docker-compose up

Initialising

Once the app has been deployed, you can initialise it to create a super user by hitting the /api/auth/init endpoint. This will create a super user with the details configured in app.settings.common with the following parameters:

ADMIN_USERNAME,
ADMIN_EMAIL,
ADMIN_INITIAL_PASSWORD

These can be updated before deployment, or equally, once initialised, you can log in and update these details.

Databases

Databases are configured in app/settings/<env>.py

The app is configured to use PostgreSQL for all environments currently. NoSQL database systems will require some more complicated set up as Django is not designed for use with NoSQL databases.

When running locally, you'll need a local instance of postgres running. The easiest way to do this is to use docker which is achievable with the following command:

docker run --name local_postgres -d -P postgres

You'll also need to ensure that you have a value for POSTGRES_PASSWORD set as an environment variable on you development machine.

When running on a Heroku-ish platform, the application reads the database connection in production from an environment variable called DATABASE_URL. This should be configured in the Heroku-ish application configuration.

When running using Docker, it reads the database configuration from the settings located at app.settings.master-docker

Deploying

Using Heroku-ish Platform (e.g. Heroku, Dokku, Flynn)

The application should run on any Heroku-ish platform (e.g. Dokku, Flynn) by simply adding the required git repo and pushing the code. The code for running the app is contained in the Procfile.

To get it running, you'll need to add the necessary config variables as outlined below.

Using Docker

The application can be configured to run using docker with simply by running the following command:

docker-compose up

This will use some default settings created in the docker-compose.yml file located in the root of the project. These should be changed before using in any production environments.

Environment Variables

The application relies on the following environment variables to run:

  • DJANGO_ALLOWED_HOSTS: comma separated list of hosts the application will run on in the given environment
  • DJANGO_SETTINGS_MODULE: python path to settings file for the given environment, e.g. "app.settings.develop"
  • SENDGRID_API_KEY: API key from sendgrid account which will need to be set up for emails to be sent from platform successfully
  • DATABASE_URL: required by develop and master environments, should be a standard format database url e.g. postgres://user:password@host:port/db_name
  • DJANGO_SECRET_KEY: see 'Creating a secret key' section below

Creating a secret key

It is important to also set an environment variable on whatever platform you are using for DJANGO_SECRET_KEY. There is a function to create one in app.settings.common if none exists in the environment variables, however, this is not suitable for use in production. To generate a new secret key, you can use the function defined in src/secret-key-gen.py by simply running it from a command prompt:

python secret-key-gen.py 

Adding dependencies

To add a python dependency, run the following commands:

pipenv install <package name>

The dependency then needs to be added to the relevant requirements*.txt files as necessary.

Stack

  • Python 2.7.14
  • Django 1.11.13
  • DjangoRestFramework 3.8.2

Documentation

Further documentation can be found here.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Getting Help

If you encounter a bug or feature request we would like to hear about it. Before you submit an issue please search existing issues in order to prevent duplicates.

Get in touch

If you have any questions about our projects you can email [email protected].

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