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Airflow-Dag-Validation-Action

Validate DAGs, Variables and Dependencies before deploying it to production by creating an isolated Airflow Environment on Docker Container with supplied variables and dependencies

Main CI/CD Pipeline

Examples of usage scenarios

Want to test airflow DAGs on folder tests/dags with a given plugins in tests/plugins, requirements file in tests/requirements.txt, airflow variable file tests/var.json, and airflow connection on file in tests/conns.json

  • Provide your dependency files requirements.txt to test your python dependencies
  • Your var.json to test your variables
  • Your conn.json to test your connections
  • path to your DAGs directory to test import your DAGs with supplied dependencies and variables
  • path to your DAGS plugins directory to test DAGs using plugins
  • And boolean flag for whether to load example dags or not

Workflows .github/workflows/main.yml

- name: 'Validate DAGs'
  uses: jayamanikharyono/[email protected]
  with:
    requirementsFile: tests/requirements.txt
    dagPaths: tests/dags
    varFile: tests/var.json
    connFile: tests/conns.json
    pluginPaths: tests/plugins
    loadExample: False
    accessToken: ${{ secrets.GITHUB_TOKEN }}

Result PR comment

Todo

  • Output Validation Result to PR comments ✅
  • Upgrading to Airflow 2.0+ ✅
  • Add Airflow Plugins Validation ✅
  • Add Airflow Connections Validation ✅
  • Output Detailed Validation Result for Plugins and Connections
  • Possibility to have default and spesified Python Version by user/developer via Arguments/Env Variable

Contributions

Contributions are very welcome. You can follow this standard contributions guidelines to contribute code.