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---
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:
```shell
cat > /tmp/test-config.template.toml << EOF
[[runners]]
[runners.docker]
[[runners.docker.services]]
name = "postgres:latest"
EOF
gitlab-runner register \
--non-interactive \
--url "https://gitlab.com/" \
--registration-token "PROJECT_REGISTRATION_TOKEN" \
--description "python-3.5" \
--executor "docker" \
--template-config /tmp/test-config.template.toml \
--docker-image python:3.5
```
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.
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