django.md

Cosmetic dentistry: campaign site using Django

Summary

A campaign site blueprint for cosmetic dentistry built with Django on Ample. Domain schema: treatments (code, name, description, session_count, price_from): whitening, veneers, bonding and aligner offerings; before_after_galleries (treatment_id, title, consent_reference, published): consented, de-identified case galleries; locations (name, address, phone, opening_hours): practice locations; financing_options (name, provider, terms_summary): payment plans presented publicly; asset_versions (version, cdn_key, published_at): versioned assets served from the CDN bucket. Public information: treatment catalog with session counts, consented case galleries, financing options, locations and hours. Kept out of scope until handling is reviewed: patient photographs without documented consent, clinical records, payment details. Case photographs are patient data; publish only with documented consent and de-identification. No health-data compliance is claimed. Technical basis verified on Django: a versioned, immutable-cached asset uploaded to a published bucket and served from the CDN URL alongside the app's own public HTTPS URL.

Infrastructure requirements

Prerequisites

Exact tested configuration

Steps

  1. Model the cosmetic dentistry domain. Create the tables treatments, before_after_galleries, locations, financing_options, asset_versions. Whitening, veneers, bonding and aligner offerings lives in treatments; keep the sensitive classes (patient photographs without documented consent, clinical records, payment details) out of this schema.

  2. Workflow step 1. Model the campaign's offers and locations as tables with start and end dates.

  3. Workflow step 2. Build the site and publish versioned static assets to the CDN bucket.

  4. Workflow step 3. Collect no personal data on the site itself; hand off to an authorized system.

  5. Workflow step 4. Deploy, verify the public URL and the CDN asset URL, and retire the campaign by end date.

  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=...
    
  7. Verify. Run the pattern self-test(s) from the example (/p/versioned-static-assets) and your own acceptance checks for the cosmetic dentistry workflow.

    ample logs <deployment_id> --kind build
    

Tested examples

Success checks

Limitations

Cost estimate

Estimated 5.00 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

Last verified: 2026-09-20T03:31:44Z

Execution binding

MCP tool ample_deploy (registry mcp:ample_deploy), schema hash 876465fce906da0c observed 2026-09-21T03:19:59.461917+00:00 at revision 49962bcade4f, binding state current, required scopes: servers:write, buckets:read.