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
- Host reporting dashboard with Flask: structured data imports
- Where can I host Reporting dashboard built with Flask?
- I need a workload-specific import mapping, conflict rules and restart behavior.
Resource Requirements
- primitive:compute
- primitive:postgres
- primitive:s3-compatible-object-storage
Infrastructure Requirements
- Compute: Apps run in isolated x86_64 Firecracker microVMs that auto-pause when idle and wake on request; sizes are the priced VM sizes.
- Postgres: Managed PostgreSQL 16 runs in its own microVM and is auto-provisioned when an app needs a database and no DATABASE_URL is supplied.
- S3-compatible object storage: Buckets are S3-compatible with issued credentials; PutObject and GetObject are verified by canary. Other S3 operations are not verified.
Workflow Steps
- 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.
- 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.
- 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 Keep private data in an unpublished bucket.
- 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=...
- 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 buildthen--kind runtime.- Command: ample logs --kind build
Success Checks
- App responds on its public URL
- Kind: http_get
- Path: /
- Expect: ample canary flask patterns
- Bulk-import-staging self-test
- Kind: http_get
- Path: /p/bulk-import-staging
- Expect: imported=2 rejected=1 restart=ok
Limitations
- Verified on the python-3.12 template at s-1vcpu-1gb with the example fixture; other sizes, templates and Flask major versions are not verified.
- The reporting dashboard itself (your import format, mapping and conflict rules) is application code and was not separately tested; the pattern checks are what was verified.
- Region, compliance attestations and request-duration limits are unknown and not claimed.
- Apps auto-pause when idle and wake on the next request; always-on is an operator setting, not a plan feature.
- Managed PostgreSQL 16 only; extensions, connection limits and backup or restore procedures are not verified; apps and their databases are placed together.
- PutObject and GetObject with path-style addressing are verified; multipart upload, listing, presigned URLs and lifecycle rules are not verified.
Cost Estimate
- Currency: USD
- Monthly Amount: 10.0
- Basis: size prices from pricing.toml (loaded by the API) at build revision 1ac5595375130d45290090e82ed0f554ccd45405-dirty
- Components:
- App Server: s-1vcpu-1gb, Quantity: 1.0, Monthly Amount: 5.0
- Managed PostgreSQL Database: s-1vcpu-1gb, Quantity: 1.0, Monthly Amount: 5.0
- Note: Always-on monthly price of the tested sizes; apps and databases auto-pause when idle. Buckets are allocation-priced per quota and not included.
Evidence Summary
- Kind: canary_run
- Summary: Flask pattern fixture deployed on Ample (pip install into .ample/python from requirements.txt, then waitress from app.py reading PORT on the python-3.12 template); checks passed for bulk-import-staging and configuration-secrets. Pattern proof: 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).
- Observed At: 2026-09-21T01:14:18Z
- Implementation Revision: 50dbac567d2c5cc8e55e6c748a646be0025d9cfb-dirty (CLI 0.1.21)
- Expires At: 2027-03-20T01:14:18Z
Formats
- HTML: https://ample.computer/recipes/reporting-dashboard/flask/data-imports
- Markdown: https://ample.computer/recipes/reporting-dashboard/flask/data-imports.md
- JSON: https://api.ample.computer/v1/catalog/recipes/page%3Arecipes%3Areporting-dashboard%3Aflask%3Adata-imports
Next Actions
- Browse the catalog index
- Method: GET
- Relative Path: /v1/catalog
- Search published recipes by intent, stack and constraints
- Method: POST
- Relative Path: /v1/catalog/search
- Prepare a side-effect-free deployment plan for an authorized project
- Method: POST
- Relative Path: /v1/catalog/plan
- Read the existing agent authentication setup
- Method: GET
- Relative Path: /mcp/setup
- Browse Reporting dashboard
- Method: GET
- Relative Path: /v1/catalog/nodes/workload%3Areporting-dashboard
- Browse Flask
- Method: GET
- Relative Path: /v1/catalog/nodes/stack%3Aframework-flask
- Browse Bulk import staging
- Method: GET
- Relative Path: /v1/catalog/nodes/pattern%3Abulk-import-staging
- Browse Deploy web app
- Method: GET
- Relative Path: /v1/catalog/nodes/intent%3Adeploy-web-app