django.md

Travel operators: public directory using Django

Summary

A public directory blueprint for travel operators built with Django on Ample. Domain schema: listings (reference, destination, departure_dates, price_from, publishing_status, agency_id): trips as listings with publishing status; agencies (name, license_number, region): operators or branches; suppliers (name, type, agency_id, status): hotels and transport suppliers; reports (agency_id, period, object_key, generated_at): branch sales reports; state_transitions (record_type, from_state, to_state): the allowed state machine. Public information: published trips and departure dates, destination guides, booking conditions. Kept out of scope until handling is reviewed: traveler passports and identity, payment details, supplier contracts. Passport and payment data are regulated; only published trips and branch reporting are modeled. Technical basis verified on Django: a workspace-scoped table, an explicit state machine (draft to review to published) that rejects invalid transitions, and a cross-workspace read that returns nothing (transitions=true isolation=true).

Infrastructure requirements

Prerequisites

Exact tested configuration

Steps

  1. Model the travel operators domain. Create the tables listings, agencies, suppliers, reports, state_transitions. Trips as listings with publishing status lives in listings; keep the sensitive classes (traveler passports and identity, payment details, supplier contracts) out of this schema.
  2. Workflow step 1. Model listings with a publishing_status state machine scoped to the agency
  3. Workflow step 2. Serve only published listings, with media from the CDN bucket
  4. Workflow step 3. Enforce the agency scope on every query
  5. Workflow step 4. Deploy and verify a published listing and that unpublished listings are absent
  6. Deploy. Run the synchronous deploy once and read the result. Re-running with no change is a no-op.
   ample deploy . --name <app-name> --public --start "python3 run.py" --env S3_ENDPOINT=... --env S3_REGION=... --env S3_BUCKET=... --env S3_ACCESS_KEY_ID=... --env S3_SECRET_ACCESS_KEY=... --env CDN_PUBLIC_URL=...
  1. Verify. Run the pattern self-test(s) from the example (/p/relational-records) and your own acceptance checks for the travel operators workflow.
   ample logs <deployment_id> --kind build

Tested examples

Success checks

Limitations

Cost estimate

Estimated 10.00 USD per month (size prices from pricing.toml at build revision a1b8c38919e59cd035ebabaced73cf84ece24371).

Always-on monthly price of the tested sizes; apps and databases auto-pause when idle. Buckets are allocation-priced per quota and not included.

Verification evidence