django.md

Construction contractors: reporting dashboard using Django

Summary

A reporting dashboard blueprint for construction contractors built with Django on Ample. Domain schema: listings (reference, project_type, location, publishing_status, agency_id): showcase projects with publishing status; agencies (name, license_number, service_region): branches or divisions; vendors (name, trade, agency_id, prequalified): subcontractors and suppliers per branch; reports (agency_id, period, object_key, generated_at): branch progress reports; exports (id, definition, object_key, row_count, generated_at, authorized_role): generated artifacts and who may download them. Public information: published project showcases, services and regions, licenses and insurance summary. Kept out of scope until handling is reviewed: site safety incidents, bid pricing, client contracts. Safety and bid data are confidential; only published showcases and branch reporting are modeled. Technical basis verified on Django: an export query rendered to a CSV artifact stored with metadata in a private bucket and returned only to an authorized caller (401 without token, export=ok rows=3).

Infrastructure requirements

Prerequisites

Steps

  1. Model the construction contractors domain. Create the tables listings, agencies, vendors, reports, exports. Showcase projects with publishing status lives in listings; keep the sensitive classes (site safety incidents, bid pricing, client contracts) out of this schema.
  2. Workflow step 1. Model report definitions scoped to the agency
  3. Workflow step 2. Generate report artifacts from queries and store them with metadata
  4. Workflow step 3. Authorize downloads (401 without identity)
  5. Workflow step 4. Deploy and verify an authorized export and the rejected anonymous request
  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=...
  1. Verify. Run the pattern self-test(s) from the example (/p/generated-downloads) and your own acceptance checks for the construction contractors workflow.
   ample logs <deployment_id> --kind build

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

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