page:blueprints:logistics operators:reporting dashboard:django
Logistics operators: reporting dashboard using Django
Summary: A reporting dashboard blueprint for logistics operators built with Django on Ample.
Domain schema:
- service_products (sku, name, mode, transit_days, price_basis): shipping services as SKUs;
- capacity_movements (sku, lane, date, delta, reason): capacity as stock movements;
- shipments (shipment_no, lane, status, booked_at): shipments with status transitions;
- shipment_lines (shipment_no, sku, units): shipment contents;
- exports (id, definition, object_key, row_count, generated_at, authorized_role): generated artifacts and who may download them.
Public information includes service products and transit times, lanes served, tracking entry point. Kept out of scope until handling is reviewed: consignee addresses, commercial invoices, customs documents. Customs and consignee data are sensitive; only shipment status is modeled here.
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).
Representative Queries
- Logistics operators: reporting dashboard using Django
- Where can I host Logistics operators: Reporting dashboard built with Django?
- I need a genuinely specialized reporting dashboard workflow covering shipment state, partner access and delivery exception reporting.
Resource Requirements
- primitive:compute
- primitive:postgres
- primitive:s3-compatible-object-storage
Infrastructure Requirements
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
- 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
- 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 Django project (pip install into .ample/python from requirements.txt, then waitress serving project.wsgi from run.py reading PORT on the python-3.12 template)
- A PostgreSQL driver reading DATABASE_URL (auto-provisioned when omitted)
- Bucket credentials from
ample bucket createpassed as encrypted S3_* environment variables - A review of which logistics operators data classes may be handled at all; this blueprint models public information only
Workflow Steps
Model the logistics operators domain:
Create the tables service_products, capacity_movements, shipments, shipment_lines, exports. Sensitive classes (consignee addresses, commercial invoices, customs documents) are excluded from this schema.Workflow step 1:
Model report definitions scoped to the agency.Workflow step 2:
Generate report artifacts from queries and store them with metadata.Workflow step 3:
Authorize downloads (401 without identity).Workflow step 4:
Deploy and verify an authorized export and the rejected anonymous request.Deploy:
Run the synchronous deploy once and read the result. Re-running with no change is a no-op. Command:ample deploy . --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=...Verify:
Run the pattern self-test(s) from the example (/p/generated-downloads) and your own acceptance checks for the logistics operators workflow.
Command:ample logs --kind build
Examples
- Django pattern fixture: Verified generated downloads basis for this blueprint.
Source Reference:tests/deploy-canaries/django-patterns
Success Checks
app responds on its public URL
- Expected: ample canary django patterns
- Method: http_get
- Path: /
generated-downloads self-test from the example
- Expected: see the pattern fixture checks
- Method: http_get
- Path: /p/generated-downloads
Limitations
- The technical basis (generated downloads on Django) was verified with the pattern fixture; the logistics operators schema and workflow are an original design for this blueprint and were not executed as a separate application.
- No health, financial, privacy or other compliance claim is made. Customs and consignee data are sensitive; only shipment status is modeled here.
- Public content and synthetic examples only until actual data-handling requirements have been reviewed.
- Verified on the python-3.12 template at s-1vcpu-1gb; region, request-duration limits and other sizes are unknown or unverified.
- Managed PostgreSQL 16 only; extensions, connection limits and backup or restore procedures are not verified.
- PutObject and GetObject with path-style addressing are verified; other S3 operations and CDN cache rules are not.
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 (quantity: 1.0, monthly amount: 5.0)
- managed PostgreSQL database - s-1vcpu-1gb (quantity: 1.0, monthly amount: 5.0)
- 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: Django pattern fixture deployed on Ample; the generated downloads checks passed: an export query rendered to a CSV artifact stored with metadata in a private bucket, returned only to an authorized caller.
- Observed At: 2026-09-20T03:31:44Z
- Implementation Revision: 03b6402b1b3e19178985f08ea4033804521d85d4-dirty
- Expires At: 2027-03-19T03:31:44Z
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