--- type: tutorial --- # Test and deploy a Python application with GitLab CI/CD This example will guide you how to run tests in your Python application and deploy it automatically as Heroku application. You can also view or fork the complete [example source](https://gitlab.com/ayufan/python-getting-started). ## Configure project This is what the `.gitlab-ci.yml` file looks like for this project: ```yaml stages: - test - deploy test: stage: test script: # this configures Django application to use attached postgres database that is run on `postgres` host - export DATABASE_URL=postgres://postgres:@postgres:5432/python-test-app - apt-get update -qy - apt-get install -y python-dev python-pip - pip install -r requirements.txt - python manage.py test staging: stage: deploy script: - apt-get update -qy - apt-get install -y ruby-dev - gem install dpl - dpl --provider=heroku --app=gitlab-ci-python-test-staging --api-key=$HEROKU_STAGING_API_KEY only: - master production: stage: deploy script: - apt-get update -qy - apt-get install -y ruby-dev - gem install dpl - dpl --provider=heroku --app=gitlab-ci-python-test-prod --api-key=$HEROKU_PRODUCTION_API_KEY only: - tags ``` This project has three jobs: - `test` - used to test Django application. - `staging` - used to automatically deploy staging environment every push to `master` branch. - `production` - used to automatically deploy production environment for every created tag. ## Store API keys You'll need to create two variables in **Settings > CI/CD > Environment variables** in your GitLab project: - `HEROKU_STAGING_API_KEY` - Heroku API key used to deploy staging app. - `HEROKU_PRODUCTION_API_KEY` - Heroku API key used to deploy production app. Find your Heroku API key in [Manage Account](https://dashboard.heroku.com/account). ## Create Heroku application For each of your environments, you'll need to create a new Heroku application. You can do this through the [Dashboard](https://dashboard.heroku.com/). ## Create Runner First install [Docker Engine](https://docs.docker.com/installation/). To build this project you also need to have [GitLab Runner](https://docs.gitlab.com/runner/index.html). You can use public runners available on `gitlab.com` or you can register your own: ```sh gitlab-runner register \ --non-interactive \ --url "https://gitlab.com/" \ --registration-token "PROJECT_REGISTRATION_TOKEN" \ --description "python-3.5" \ --executor "docker" \ --docker-image python:3.5 \ --docker-services postgres:latest ``` With the command above, you create a runner that uses the [`python:3.5`](https://hub.docker.com/_/python) image and uses a [PostgreSQL](https://hub.docker.com/_/postgres) database. To access the PostgreSQL database, connect to `host: postgres` as user `postgres` with no password.