name: labs-aicharts
# Deploy the AICharts demo Worker (aicharts.<venture domain>, one D1, Workers AI), then smoke-test it. Manual only.
on: workflow_dispatch
permissions:
  contents: read
jobs:
  deploy:
    runs-on: ubuntu-latest
    timeout-minutes: 5
    steps:
      - uses: actions/checkout@v5
        with:
          sparse-checkout: .github/time
      - uses: actions/setup-node@v4
        with:
          node-version: 22
      - run: node .github/time/labs/aicharts/test_aicharts.mjs
      - id: deploy
        run: |
          set -o pipefail
          python3 .github/time/labs/aicharts/deploy.py | tee out.json
          echo "url=$(python3 -c 'import json; print(json.load(open("out.json"))["url"])')" >> "$GITHUB_OUTPUT"
        env:
          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
          CLOUDFLARE_ACCOUNT_ID: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
          TIME_VENTURE_DOMAIN: ${{ vars.TIME_VENTURE_DOMAIN }}
      - name: smoke
        env:
          u: ${{ steps.deploy.outputs.url }}   # through env, never interpolated into the script
        run: |
          set -o pipefail
          for i in $(seq 1 18); do curl -fsS "${u}api/health" && break; sleep 10; done
          curl -fsS "${u}api/schema?dataset=orders" | python3 -c 'import json,sys; d=json.load(sys.stdin); assert len(d["sample"])==5, d; print("schema ok")'
          curl -fsS -X POST "${u}api/spec" -H 'content-type: application/json' \
            -d '{"dataset":"orders","prompt":"total revenue by region"}' | tee spec.json
          echo
          echo "### AICharts: ${u}" >> "$GITHUB_STEP_SUMMARY"
          echo '```json' >> "$GITHUB_STEP_SUMMARY"; cat spec.json >> "$GITHUB_STEP_SUMMARY"; echo '```' >> "$GITHUB_STEP_SUMMARY"