page:recipes:help desk:fastapi:csv imports

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