# Host Reporting Dashboard with Flask: Data Exports

Deploy a reporting dashboard built with Flask on Ample using the generated downloads 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: an export query rendered to a CSV artifact stored with metadata in a private bucket and returned only to an authorized caller (401 without token, export=ok rows=3). Not separately tested: your export formats, retention policy and entitlement model; treat the reporting dashboard-specific behavior as your application code.

## Representative Queries
- Host reporting dashboard with Flask: data exports
- Where can I host Reporting dashboard built with Flask?
- I need a scoped export format, artifact generation and authorized download procedure.

## Resource Requirements
- Compute
- PostgreSQL
- S3-compatible object storage

## Infrastructure Requirements

### Compute
- **Status:** verified  
- **Summary:** Apps run in isolated x86_64 Firecracker microVMs that auto-pause when idle and wake on request; sizes are the priced VM sizes.

### Postgres
- **Status:** verified  
- **Summary:** 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
- **Status:** verified  
- **Summary:** Buckets are S3-compatible with issued credentials; PutObject and GetObject are verified by canary. Other S3 operations are not verified.

## Framework
Flask

## Workload
Reporting dashboard

## Prerequisites
- A Flask project that builds and starts with the documented commands (pip install into .ample/python from requirements.txt, then waitress from app.py reading PORT on the python-3.12 template)
- A PostgreSQL driver reading DATABASE_URL at runtime (auto-provisioned when omitted, or supplied with --env)
- A bucket from `ample bucket create` with its credentials passed as encrypted S3_* environment variables
- An Ample account token with servers:write, databases:read, buckets:read

## 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 generated downloads: an export query rendered to a CSV artifact stored with metadata in a private bucket and returned only to an authorized caller (401 without token, export=ok rows=3). 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.
   ```
   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/generated-downloads) from the example; then run your own checks. On failure read `ample logs  --kind build` then `--kind runtime`.
   ```
   ample logs  --kind build
   ```

## Examples
- **Flask Pattern Fixture**  
  Multi-pattern Flask app whose generated downloads module was checked live; the module is under tests/deploy-canaries/_pattern-modules.

## Success Checks
- **App responds on its public URL**  
   - **Kind:** http_get  
   - **Path:** /  
   - **Expect:** ample canary flask patterns
- **Generated-downloads self-test**  
   - **Kind:** http_get  
   - **Path:** /p/generated-downloads  
   - **Expect:** export=ok rows=3 (with ?token=...; 401 without)

## 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 export formats, retention policy, and entitlement model) 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:** $10.00  
- **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.

### Components
- **App Server**  
  - **Size:** s-1vcpu-1gb  
  - **Quantity:** 1.0  
  - **Monthly Amount:** $5.00
- **Managed PostgreSQL Database**  
  - **Size:** s-1vcpu-1gb  
  - **Quantity:** 1.0  
  - **Monthly Amount:** $5.00

## Evidence Summary
- **Flask pattern fixture deployed on Ample**  
  - Checks passed for generated-downloads and configuration-secrets. Pattern proof: an export query rendered to a CSV artifact stored with metadata in a private bucket and returned only to an authorized caller (401 without token, export=ok rows=3).  
  - **Observed At:** 2026-09-21T01:14:18Z
- **The same Flask app deployed with a --release-command migration**  
  - The marker it created was readable after activation.  
  - **Observed At:** 2026-09-20T01:54:51Z

## Last Verified At
2026-09-21T01:14:18Z

## Next Actions
- **Browse the Catalog Index**  
- **Search Published Recipes**  
- **Prepare a Side-effect-free Deployment Plan**  
- **Read Existing Agent Authentication Setup**  
- **Browse Reporting Dashboard**  
- **Browse Flask**  
- **Browse Generated Downloads**  
- **Browse Deploy Web App**

## Formats
- **HTML:** [View Recipe](/content/recipes/reporting-dashboard/flask/data-exports/index.html)  
- **Markdown:** [View Recipe in Markdown](/content/recipes/reporting-dashboard/flask/data-exports.md)  
- **JSON:** [View JSON](https://api.ample.computer/v1/catalog/recipes/page%3Arecipes%3Areporting-dashboard%3Aflask%3Adata-exports)
