clean-datasets.yaml

name: Clean Datasets

on:
  repository_dispatch:
  workflow_dispatch:
  schedule:
    # Run every month on the 1st day at 3 am
    - cron: "0 3 1 * *"

concurrency:
  group: continuous-benchmark

# This removes the ci-datasets volume from client machine.
# The next run of Continuous Benchmark will create the volume again and download all the datasets.
jobs:
  removeDatasetsVolume:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
      - uses: webfactory/ssh-agent@d4b9b8ff72958532804b70bbe600ad43b36d5f2e # v0.8.0
        with:
          ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }}
      - name: Benches
        id: benches
        run: |
            export HCLOUD_TOKEN=${{ secrets.HCLOUD_TOKEN }}

            set +e

            timeout 10m bash -x tools/run_client_remove_volume.sh

            set -e
      - name: Send Notification
        if: failure()
        uses: slackapi/slack-github-action@70cd7be8e40a46e8b0eced40b0de447bdb42f68e # v1.26.0
        with:
          payload: |
            {
              "text": "Failed to remove the datasets volume (removeDatasetsVolume), run status: ${{ job.status }}",
              "blocks": [
                {
                  "type": "section",
                  "text": {
                    "type": "mrkdwn",
                    "text": "View the results <${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}|here>"
                  }
                }
              ]
            }
        env:
          SLACK_WEBHOOK_URL: ${{ secrets.CI_ALERTS_CHANNEL_WEBHOOK_URL }}
          SLACK_WEBHOOK_TYPE: INCOMING_WEBHOOK