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