Scaling GPU workers #3
Workflow file for this run
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| name: Update all EC2 workers | |
| on: | |
| workflow_dispatch: | |
| pull_request: # TODO: remove this, for testing purposes only | |
| push: | |
| branches: | |
| - master | |
| jobs: | |
| ansible: | |
| runs-on: ubuntu-latest | |
| env: | |
| AWS_DEFAULT_REGION: us-east-1 | |
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| CLOUDAMQP_URL: ${{ secrets.CLOUDAMQP_URL }} | |
| CLOUDAMQP_APIKEY: ${{ secrets.CLOUDAMQP_APIKEY }} | |
| CLOUDAMQP_GRAY_URL: ${{ secrets.CLOUDAMQP_GRAY_URL }} | |
| CLOUDAMQP_GRAY_APIKEY: ${{ secrets.CLOUDAMQP_GRAY_APIKEY }} | |
| DJANGO_SECRET_KEY: ${{ secrets.DJANGO_SECRET_KEY }} | |
| DJANGO_EMAIL_URL: ${{ secrets.DJANGO_EMAIL_URL }} | |
| PAPERTRAIL_API_TOKEN: ${{ secrets.PAPERTRAIL_API_TOKEN }} | |
| DATABASE_URL: ${{ secrets.DATABASE_URL }} | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: "3.8" | |
| - name: Install Ansible & Boto3 | |
| run: pip install ansible-core boto3 | |
| - name: Install dependency for playbook | |
| run: ansible-galaxy collection install --force ansible.posix | |
| - name: Install Ansible role | |
| run: ansible-galaxy install --force --roles-path=./ansible/roles girder.celery | |
| - name: Update workers | |
| run: | | |
| SECRETS_NAMES=('AWS_DEFAULT_REGION' 'AWS_ACCESS_KEY_ID' 'AWS_SECRET_ACCESS_KEY' 'CLOUDAMQP_URL' 'CLOUDAMQP_APIKEY' 'CLOUDAMQP_GRAY_URL' 'CLOUDAMQP_GRAY_APIKEY' 'DJANGO_SECRET_KEY' 'DJANGO_EMAIL_URL' 'PAPERTRAIL_API_TOKEN' 'DATABASE_URL') | |
| SECRETS_JSON=`jq -n '$ARGS.positional | map({ (.): env[.] }) | add' --args "${SECRETS_NAMES[@]}"` | |
| DJANGO_VARS=`jq --argjson secrets "$SECRETS_JSON" '.+=$secrets' dev/prod.celery.env.json` | |
| INVENTORY=`python shapeworks_cloud/manage_workers.py start_all` | |
| ansible-playbook -vvvv --inventory "$INVENTORY" --extra-vars "$DJANGO_VARS" ./ansible/playbook.yml | |
| - name: Stop GPU workers | |
| if: always() # run this even if the above step fails | |
| run: python shapeworks_cloud/manage_workers.py stop_gpus |