## Direct-to-consumer brands: product catalog using Django

### Summary
A product catalog blueprint for direct-to-consumer brands built with Django on Ample. Domain schema: products (sku, name, collection, price, active): product catalog; stock_movements (sku, warehouse, delta, reason, moved_at): fulfillment stock; orders (order_no, channel, status, placed_at): orders with status transitions; order_lines (order_no, sku, qty, unit_price): order contents; events (seq, record_type, record_id, kind, at): application-owned history written in the same transaction. Public information: product catalog and collections, shipping and returns policy, brand story. Kept out of scope until handling is reviewed: customer contact and payment details, discount codes tied to individuals. Checkout and payment are handled by your commerce provider; only catalog, stock and order status are modeled here.

### Framework
Django

### Workload
Product catalog

### Industry
Direct-to-consumer brands

### Release Status
Published

### Support Status
Verified

### Execution Status
Ready

### 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 create` passed as encrypted S3_* environment variables
- A review of which direct-to-consumer brands data classes may be handled at all; this blueprint models public information only

### 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 run.py

### Input Schema
- **env**: Encrypted environment variables
- **name**: App name (maxLength: 63, minLength: 1, pattern: ^[a-z0-9-]+$)
- **path**: Project directory or ample.toml service (maxLength: 512, minLength: 1)
- **release_command**: Migration command run before activation (maxLength: 512)
- **start**: Start command (maxLength: 512)

### Workflow Steps
1. **Model the direct-to-consumer brands domain**: Create the tables products, stock_movements, orders, order_lines, events. Product catalog lives in products; keep the sensitive classes (customer contact and payment details, discount codes tied to individuals) out of this schema.
2. **Workflow step 1**: Model the SKU catalog with versioned updates
3. **Workflow step 2**: Record every catalog change as an event in the same transaction
4. **Workflow step 3**: Reject stale concurrent updates
5. **Workflow step 4**: Deploy and verify history and conflict handling
6. **Deploy**: Run the synchronous deploy once and read the result. Re-running with no change is a no-op.
7. **Verify**: Run the pattern self-test(s) from the example (/p/transactional-workflows) and your own acceptance checks for the direct-to-consumer brands workflow.

### Examples
- **Django pattern fixture**: Verified transactional workflows basis for this blueprint.

### Success Checks
- App responds on its public URL
- Transactional-workflows self-test from the example

### Limitations
- The technical basis (transactional workflows on Django) was verified with the pattern fixture; the direct-to-consumer brands 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.

### Cost Estimate
- **Monthly Amount**: 10.0 USD
- **Note**: Always-on monthly price of the tested sizes; apps and databases auto-pause when idle.

### Evidence Summary
- Django pattern fixture deployed on Ample (pip install into .ample/python from requirements.txt,...)

### Last Verified At
2026-09-20T03:31:44Z

### Formats
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