training.yml

name: Validate training workflow

on:
  - pull_request
  - push

jobs:
  validate_training:
    name: Validate Training changes
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - id: cache-docker
        uses: actions/cache@v1
        with:
          path: /tmp/docker-save
          key: docker-save-${{ hashFiles('docker_environment/**') }}
      - name: Load cached docker images
        run: docker load -i /tmp/docker-save/snapshot.tar || true
        if: steps.cache-docker.outputs.cache-hit == 'true'
      - name: Build images
        run: |
          cd docker_environment/
          docker-compose build
      - name: Cache built Docker images
        run: mkdir -p /tmp/docker-save && docker save conan_training_env_conan-training:latest conan_training_env_jfrog-artifactory-training:latest -o /tmp/docker-save/snapshot.tar && ls -lh /tmp/docker-save || true
        if: always() && steps.cache-docker.outputs.cache-hit != 'true'
      - name: Start docker container
        run: docker run -d -t -v ${GITHUB_WORKSPACE}:/home/conan/project:z --name training conan_training_env_conan-training:latest
      - name: Copy files to container
        run: docker cp ${GITHUB_WORKSPACE} training:/home/conan/project
      - name: Update file permission
        run: docker exec training sudo chown -R conan:1001 /home/conan/project
      - name: Install tox
        run: docker exec training pip install -U tox tox-venv
      - name: Run tests
        run: docker exec -e TOXENV=py37-conan training /bin/bash -c 'cd /home/conan/project/; tox -vvv'