Host appointment booking with Flask: file attachments

Deploy a appointment booking built with Flask on Ample using the browser file uploads 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: content-type and size validation that rejects disallowed files, an object written to a private bucket and a row linking the record to the object key (reject=ok upload=ok linked=ok). Not separately tested: your upload UI, allowed types, size limits and virus scanning; treat the appointment booking-specific behavior as your application code.

Representative Queries

• Host appointment booking with Flask: file attachments
• Where can I host Appointment booking built with Flask?
• I need a restricted upload flow, file validation and record-to-object linkage.

Resource Requirements

• Compute
• Postgres
• 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.

Framework

Flask

Workload

Appointment booking

Release Status

Published

Execution Status

Ready

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

Tested Configuration

• Template: python-3.12
• Runtime: python
• Size: s-1vcpu-1gb
• Install: python3 -m pip install --target .ample/python -r requirements.txt
• Start: PYTHONPATH=.ample/python:${PYTHONPATH:-} python3 app.py

Input Schema

• Properties:
  • env: Encrypted environment variables (bucket credentials, secrets)
  • name: App name
  • path: Project directory or ample.toml service
  • release_command: Migration command run before activation
  • start: Start command (Python apps pass one explicitly)
• Required: env, name, path, start

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 browser file uploads: content-type and size validation that rejects disallowed files, an object written to a private bucket and a row linking the record to the object key (reject=ok upload=ok linked=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.
5. Verify: Fetch the live URL and the pattern self-test route(s) (/p/browser-file-uploads) from the example; then run your own checks. On failure read ample logs --kind build then --kind runtime.

Examples

• Title: Flask pattern fixture
• Description: Multi-pattern Flask app whose browser file uploads module was checked live; the module is under tests/deploy-canaries/_pattern-modules.
• Source Ref: tests/deploy-canaries/flask-patterns

Success Checks

• App responds on its public URL: Expect "ample canary flask patterns"
• Browser file uploads self-test: Expect "reject=ok upload=ok linked=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 appointment booking itself (your upload UI, allowed types, size limits and virus scanning) is application code and was not separately tested; the pattern checks are what was verified.

Cost Estimate

• Currency: USD
• Monthly Amount: 10.0
• Basis: Size prices from pricing.toml at build revision 1ac5595375130d45290090e82ed0f554ccd45405-dirty.
• Components:
  • App server: s-1vcpu-1gb
  • Managed PostgreSQL database: s-1vcpu-1gb
• 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; checks passed for browser-file-uploads and configuration-secrets.

Last Verified At

2026-09-21T01:14:18Z

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