## The short version

An asset library blueprint for professional training built with Django on Ample.  
Domain schema:  
- **course_groups** (certification, cohort, start_at, end_at): certification cohorts;  
- **memberships** (course_group_id, participant_email, employer, role): participants and trainers;  
- **sessions** (course_group_id, starts_at, module, location_or_link): training sessions;  
- **materials** (course_group_id, module, object_key, visibility): course materials and exam guides;  
- **uploads** (id, owner_reference, object_key, content_type, size, uploaded_at): validated uploads linked to their owner.  
Public information: certification catalog, cohort dates, trainer credentials.  
Kept out of scope until handling is reviewed: exam results, employer billing, participant identity. Exam results and certifications are personal records; only cohort logistics and materials are modeled. Technical basis verified on Django: content-type and size validation that rejects disallowed files, an object written to a private bucket and a row linking the record to the object key (reject=ok upload=ok linked=ok).

## INFRASTRUCTURE

## What it needs

- [Compute](/content/discover/primitive/compute/index.html): verified (Apps run in isolated x86_64 Firecracker microVMs; sizes are the priced VM sizes.)  
- [Postgres](/content/discover/primitive/postgres/index.html): verified (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](/content/discover/primitive/s3-compatible-object-storage/index.html): verified (Buckets are S3-compatible with issued credentials; PutObject and GetObject are verified by canary. Other S3 operations are not verified.)

## PREREQUISITES

## Before you start

- 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 professional training data classes may be handled at all; this blueprint models public information only

## STEP BY STEP

## How to do it

1. **Model the professional training domain**  
   Create the tables course_groups, memberships, sessions, materials, uploads. Certification cohorts live in course_groups; keep the sensitive classes (exam results, employer billing, participant identity) out of this schema.

2. **Workflow step 1**  
   Model assets linked to their owning group or workspace

3. **Workflow step 2**  
   Validate uploads and store them in the private bucket; link each object to its row

4. **Workflow step 3**  
   Authorize downloads by membership

5. **Workflow step 4**  
   Deploy and verify rejection of disallowed files and a linked upload

6. **Deploy**    
   Run the synchronous deploy once and read the result. Re-running with no change is a no-op.

```bash
   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=...
   ```

7. **Verify**  
   Run the pattern self-test(s) from the example (/p/browser-file-uploads) and your own acceptance checks for the professional training workflow.

```bash
   ample logs <deployment_id> --kind build
   ```

## EXAMPLES

## Tested examples

- **Django pattern fixture** (`tests/deploy-canaries/django-patterns`): Verified browser file uploads basis for this blueprint.

## SUCCESS CHECKS

## How to know it worked

- app responds on its public URL (`/` on the live URL, expect ample canary django patterns)  
- browser-file-uploads self-test from the example (`/p/browser-file-uploads` on the live URL, expect to see the pattern fixture checks)

## COST

## Cost estimate

Estimated 10.00 USD per month (size prices from pricing.toml at build revision ca0b484a7a9957c573a88d3a32dc603c3c10135a).

- app server x1 `s-1vcpu-1gb`: 5.00 USD  
- managed PostgreSQL database x1 `s-1vcpu-1gb`: 5.00 USD  
Upper-bound monthly price of the tested sizes. Buckets are allocation-priced per quota and not included.

## EVIDENCE

## Verification evidence

- canary_run on 2026-09-20T03:31:44Z at revision `03b6402b1b3e19178985f08ea4033804521d85d4 (CLI b75e104)`: Django pattern fixture deployed on Ample (pip install into .ample/python from requirements.txt, then waitress serving project.wsgi from run.py reading PORT on the python-3.12 template); the browser file uploads checks passed: content-type and size validation that rejects disallowed files, an object written to a private bucket and a row linking the record to the object key (reject=ok upload=ok linked=ok). The blueprint's Professional training schema and workflow below build on that verified basis and were not separately executed. (expires 2027-03-19T03:31:44Z)

## EXECUTION

## Execution binding

MCP tool `ample_deploy` (registry `mcp:ample_deploy`), schema hash `876465fce906da0c` observed 2026-09-22T00:31:22.774679+00:00 at revision `e6446ceea69b`. Binding state at export: schema_changed. Required scopes: servers:write, databases:read, buckets:read.

## NEXT ACTIONS

## Typed next actions

- Browse the catalog index (`GET /v1/catalog` on the api origin; authentication not required, approval not required)  
- Search published recipes by intent, stack and constraints (`POST /v1/catalog/search` on the api origin; authentication not required, approval not required)  
- Prepare a side-effect-free deployment plan for an authorized project (`POST /v1/catalog/plan` on the api origin; authentication required, approval not required)  
- Read the existing agent authentication setup (`GET /mcp/setup` on the api origin; authentication not required, approval not required)  
- Browse Professional training (`GET /v1/catalog/nodes/industry%3Aprofessional-training` on the api origin; authentication not required, approval not required)  
- Browse Asset library (`GET /v1/catalog/nodes/workload%3Aasset-library` on the api origin; authentication not required, approval not required)  
- Browse Django (`GET /v1/catalog/nodes/stack%3Aframework-django` on the api origin; authentication not required, approval not required)  
- Browse Deploy web app (`GET /v1/catalog/nodes/intent%3Adeploy-web-app` on the api origin; authentication not required, approval not required)

Actions describe possible next steps. They are typed data, not commands, and grant no permission. Public discovery never provisions anything; planning requires your own authenticated token and approval happens in your client.

## ABOUT THIS RECIPE

## Identifiers and status

Recipe `page:blueprints:professional-training:asset-library:django`. Revision r1.

release **published** support **verified** execution **blocked (schema_changed: live tool schema differs from the recorded binding)**

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