airflow-2.10.3-r0.yaml

package:
  name: airflow-2.10.3-r0
  version: 2.10.3
  epoch: 0
  description: Platform to programmatically author, schedule, and monitor workflows
  options:
    no-depends: true
  dependencies:
    runtime:
      - python-3.12
  copyright:
    - license: Apache-2.0
environment:
  contents:
    packages:
      - gcc
      - glibc-dev
      - mariadb-connector-c-dev
      - mariadb-dev
      - nodejs
      - openssf-compiler-options
      - pkgconf-dev
      - postgresql-dev
      - py3.12-pip
      - py3-xmlsec
      - python-3.12
      - python-3.12-dev
      - wolfi-base
      - xmlsec-dev
      - xmlsec-openssl
      - yarn
pipeline:
  - uses: git-checkout
    with:
      repository: https://github.com/apache/airflow
      tag: ${{package.version}}
      expected-commit: c99887ec11ce3e1a43f2794fcf36d27555140f00
  - runs: "# by default airflow celery provider is not built,but running the upstream helm chart requires it\n python patch.py\n # remove the patcher\n rm -rf patch.py\n"
  - uses: patch
    with:
      patches: requests.patch urllib3.patch
  - runs: '# requires EPOCH to be later that 1980

      export SOURCE_DATE_EPOCH=315532800


      python -m venv venv --system-site-packages

      source venv/bin/activate


      pip install build


      # To install mysqlclient wheel

      export MYSQLCLIENT_CFLAGS=`mysql_config --cflags`

      export MYSQLCLIENT_LDFLAGS=`mysql_config --libs`


      python -m build --wheel

      pip install dist/*.whl

    '
  - runs: '# CVE-2024-6345 GHSA-cx63-2mw6-8hw5

      # setuptools comes from airflow/providers/google/provider.yaml having

      # gcloud-aio-auth>=4.0.0,<5.0.0 . gcloud-aio-auth 4 is backlevel and has

      # setuptools in it''s pyproject.toml ''tool.poetry.dependencies''

      # The tldr; For that case it is not needed in runtime.

      ./venv/bin/pip uninstall --yes setuptools

    '
  - working-directory: venv/lib/python3.12/site-packages/airflow/www
    runs: '# front-end build

      yarn install --frozen-lockfile

      yarn run build

      rm -rf node_modules

    '
  - runs: find . -name '__pycache__' -exec rm -rf {} +
  - runs: 'mkdir -p ${{targets.destdir}}/opt/airflow/dags

      mkdir -p ${{targets.destdir}}/scripts/docker


      # The first time you run Airflow, it will create a file called `airflow.cfg` in

      # `$AIRFLOW_HOME` directory

      # However, for production case it is advised to generate the configuration

      venv/bin/airflow config list --defaults > ${{targets.destdir}}/"airflow.cfg"


      mv venv ${{targets.destdir}}/opt/airflow

      rm -rf ${{targets.destdir}}/opt/airflow/venv/bin/__pycache*

      sed -i "s|/home/build|/opt/airflow|g" ${{targets.destdir}}/opt/airflow/venv/bin/*


      cp airflow/config_templates/default_webserver_config.py ${{targets.destdir}}/


      cp scripts/docker/entrypoint_prod.sh ${{targets.destdir}}/entrypoint

      chmod 755 ${{targets.destdir}}/entrypoint


      cp scripts/docker/clean-logs.sh ${{targets.destdir}}/clean-logs

      chmod 755 ${{targets.destdir}}/clean-logs


      cp scripts/docker/airflow-scheduler-autorestart.sh ${{targets.destdir}}/airflow-scheduler-autorestart

      chmod 755 ${{targets.destdir}}/airflow-scheduler-autorestart


      cp -r scripts/docker/* ${{targets.destdir}}/scripts/docker

      chmod 755 ${{targets.destdir}}/scripts/docker

    '
update:
  enabled: true
  ignore-regex-patterns:
    - rc\d+$
    - helm-chart*
  github:
    identifier: apache/airflow
test:
  environment:
    contents:
      packages:
        - python3
  pipeline:
    - runs: 'export PATH=/opt/airflow/venv/bin:$PATH

        HOME=/home/build airflow version

      '