Astro CI/CD templates for Drone

Use the following CI/CD templates to automate deploying Apache Airflow DAGs from a Git repository to Astro with Drone CI.

The template for DroneCI is based on the image deploy template with a single branch implementation, which requires only one Astro Deployment.

If you use the DAG-only deploy feature on Astro or you're interested in a multiple-branch implementation, see Template overview to configure your own. To learn more about CI/CD on Astro, see Choose a CI/CD strategy.

Prerequisites​

• An Astro project hosted in a Git repository that Drone can access.
• An Astro Deployment.
• A Deployment API token, Workspace API token, or Organization API token.
• A functional Drone server.
• A user with admin privileges to your Drone server.
• A Docker runner.

Single branch implementation​

1. Set the following environment variable as a repository-level secret on Drone:

   • ASTRO_API_TOKEN: The value for your Workspace or Organization API token.

2. In your Drone server, open your Astro project repository and go to Settings > General. Under Project Settings, turn on the Trusted setting.

3. In the top level of your Git repository, create a file called .drone.yml that includes the following configuration:

   ---
   kind: pipeline
   type: docker
   name: deploy
   
   steps:
     - name: install
       image: debian
       commands:
       - apt-get update
       - apt-get -y install curl
       - curl -sSL install.astronomer.io | sudo bash -s
     - name: wait
       image: docker:dind
       volumes:
       - name: dockersock
         path: /var/run
       commands:
       - sleep 5
     - name: deploy
       image: docker:dind
       volumes:
       - name: dockersock
         path: /var/run
       commands:
       - astro deploy <your-deployment-id> -f
       depends on:
       - wait
   
       environment:
         ASTRO_API_TOKEN:
           from_secret: ASTRO_API_TOKEN
   
   services:
   - name: docker
     image: docker:dind
     privileged: true
     volumes:
     - name: dockersock
       path: /var/run
   
   volumes:
   - name: dockersock
     temp: {}
   
   trigger:
     branch:
     - main
     event:
     - push