page:recipes:reporting dashboard:flask:data imports

Host reporting dashboard with Flask: structured data imports

Deploy a reporting dashboard built with Flask on Ample using the bulk import staging pattern. Compute runs the app in an isolated microVM behind a public HTTPS URL, a managed PostgreSQL 16 database is auto-provisioned and injected as DATABASE_URL, a private S3-compatible bucket holds objects with credentials delivered as encrypted environment variables. Verified on Flask: a CSV staged as an object, row-level validation with per-row errors recorded, and a restart-safe import keyed by import id (imported=2 rejected=1 restart=ok). Not separately tested: your import format, mapping and conflict rules; treat the reporting dashboard-specific behavior as your application code.

Representative Queries

Resource Requirements

Infrastructure Requirements

Workflow Steps

  1. Build and start: pip install into .ample/python from requirements.txt, then waitress from app.py reading PORT on the python-3.12 template. The server must bind 0.0.0.0 on PORT.
  2. Implement the pattern on PostgreSQL: The fixture's module implements bulk import staging: a CSV staged as an object, row-level validation with per-row errors recorded, and a restart-safe import keyed by import id (imported=2 rejected=1 restart=ok). Copy the approach into your schema; keep migrations idempotent and run them with --release-command.
  3. Wire object storage: Create the bucket(s), then pass endpoint, region, bucket and keys as --env values. Use path-style addressing. Keep private data in an unpublished bucket.
  4. Deploy: Run the synchronous deploy once and read the result (exit 0 live, 1 failed, 2 blocked). Re-running with no change is a no-op.
    • Command: ample deploy . --name --public --start "python3 app.py" --env S3_ENDPOINT=... --env S3_REGION=... --env S3_BUCKET=... --env S3_ACCESS_KEY_ID=... --env S3_SECRET_ACCESS_KEY=...
  5. Verify: Fetch the live URL and the pattern self-test route(s) (/p/bulk-import-staging) from the example; then run your own checks. On failure read ample logs --kind build then --kind runtime.
    • Command: ample logs --kind build

Success Checks

Limitations

Cost Estimate

Evidence Summary

Formats

Next Actions

  1. Browse the catalog index
    • Method: GET
    • Relative Path: /v1/catalog
  2. Search published recipes by intent, stack and constraints
    • Method: POST
    • Relative Path: /v1/catalog/search
  3. Prepare a side-effect-free deployment plan for an authorized project
    • Method: POST
    • Relative Path: /v1/catalog/plan
  4. Read the existing agent authentication setup
    • Method: GET
    • Relative Path: /mcp/setup
  5. Browse Reporting dashboard
    • Method: GET
    • Relative Path: /v1/catalog/nodes/workload%3Areporting-dashboard
  6. Browse Flask
    • Method: GET
    • Relative Path: /v1/catalog/nodes/stack%3Aframework-flask
  7. Browse Bulk import staging
    • Method: GET
    • Relative Path: /v1/catalog/nodes/pattern%3Abulk-import-staging
  8. Browse Deploy web app
    • Method: GET
    • Relative Path: /v1/catalog/nodes/intent%3Adeploy-web-app