reboot with a simpler setup and using lessons from pyPI work #41
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| name: deploy-to-gcp | |
| on: | |
| push: {} | |
| jobs: | |
| deploy: | |
| runs-on: ubuntu-latest | |
| env: | |
| PIP_REQUIRE_VIRTUALENV: true | |
| permissions: | |
| contents: read | |
| id-token: write | |
| actions: read | |
| pages: write | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - uses: ./.github/actions/setup_dbt | |
| - uses: google-github-actions/auth@v2 | |
| with: | |
| workload_identity_provider: ${{ secrets.GCP_WORKLOAD_IDENTITY_PROVIDER }} | |
| service_account: ${{ secrets.GCP_SERVICE_ACCOUNT }} | |
| - uses: google-github-actions/setup-gcloud@v2 | |
| with: | |
| version: '>= 363.0.0' | |
| - name: ensure prod dataset exists | |
| run: | | |
| source .venv/bin/activate | |
| source .envs/prod/.env | |
| dbt deps | |
| dbt run-operation ensure_target_dataset_exists | |
| # bq update --source .envs/prod/dataset_acl.json "${DBT_PROJECT}:${DBT_DATASET}" | |
| - name: prod dbt build | |
| uses: ./.github/actions/dbt_build | |
| with: | |
| env: prod | |
| - uses: actions/upload-pages-artifact@v3 | |
| with: | |
| path: target | |
| - uses: actions/deploy-pages@v4 | |