## Host help desk with FastAPI: CSV imports

Deploy a help desk built with FastAPI 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 FastAPI: 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 help desk-specific behavior as your application code.

### Representative Queries
- Host help desk with FastAPI: CSV imports
- Where can I host Help desk built with FastAPI?
- I need a domain CSV format, row validation, deduplication and an import recovery path.

### Resource Requirements
- primitive:compute
- primitive:postgres
- primitive:s3-compatible-object-storage

### Infrastructure Requirements
#### Compute
- **Label**: 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
- **Label**: 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
- **Label**: 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.

### Prerequisites
- A FastAPI project that builds and starts with the documented commands (pip install into .ample/python from requirements.txt, then uvicorn from run.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 uvicorn from run.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**: 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.
4. **Deploy**: Run the synchronous deploy once and read the result (exit 0 live, 1 failed, 2 blocked).
5. **Verify**: Fetch the live URL and check the pattern self-test route(s); read logs on failure.

### Examples
- **Title**: FastAPI pattern fixture  
  **Description**: Multi-pattern FastAPI app whose bulk import staging module was checked live; the module is under tests/deploy-canaries/_pattern-modules.  
  **Source Reference**: tests/deploy-canaries/fastapi-patterns

### Success Checks
- app responds on its public URL
- bulk-import-staging self-test

### Limitations
- Verified on the python-3.12 template at s-1vcpu-1gb with the example fixture; other sizes, templates and FastAPI major versions are not verified.

### Cost Estimate
- **Currency**: USD
- **Monthly Amount**: 10.0 
- **Components**:
  - app server, size: s-1vcpu-1gb, quantity: 1.0, monthlyAmount: 5.0
  - managed PostgreSQL database, size: s-1vcpu-1gb, quantity: 1.0, monthlyAmount: 5.0

### Evidence Summary
- **Kind**: canary_run  
  **Summary**: FastAPI pattern fixture deployed on Ample; checks passed for bulk-import-staging and configuration-secrets.

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