# Tutoring centers: asset library using Django

## Summary
A asset library blueprint for tutoring centers built with Django on Ample. Domain schema: 
- **course_groups** (subject, level, start_at, end_at, capacity): tutoring groups;  
- **memberships** (course_group_id, student_reference, guardian_reference, role): students, guardians and tutors;  
- **sessions** (course_group_id, starts_at, tutor, attendance_count): session events;  
- **materials** (course_group_id, title, object_key, visibility): worksheets and answer keys;  
- **uploads** (id, owner_reference, object_key, content_type, size, uploaded_at): validated uploads linked to their owner.

Public information: subjects and levels, schedule and locations, tutor qualifications. Kept out of scope until handling is reviewed: minor students and guardian identity, progress reports. Data about minors is sensitive; only group schedules and materials are modeled here.

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).

## Representative Queries
- Tutoring centers: asset library using Django  
- Where can I host Tutoring centers: Asset library built with Django?  
- I need a genuinely specialized asset library workflow covering course-group membership, session events and teaching materials.

## Resource Requirements
- **primitive:compute**  
- **primitive:postgres**  
- **primitive:s3-compatible-object-storage**

## Infrastructure Requirements
- **Compute**: Verified, Apps run in isolated x86_64 Firecracker microVMs that auto-pause when idle and wake on request; sizes are the priced VM sizes.  
- **Postgres**: 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**: Verified, Buckets are S3-compatible with issued credentials; PutObject and GetObject are verified by canary.

## 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 tutoring centers data classes may be handled at all; this blueprint models public information only.

## Examples
### Django pattern fixture
- Verified browser file uploads basis for this blueprint.

## Workflow Steps
1. **Model the tutoring centers domain**: Create the tables course_groups, memberships, sessions, materials, uploads. Tutoring groups lives in course_groups; keep the sensitive classes (minor students and guardian identity, progress reports) 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.  
7. **Verify**: Run the pattern self-test(s) from the example (/p/browser-file-uploads) and your own acceptance checks for the tutoring centers workflow.

## Success Checks
- app responds on its public URL  
- browser-file-uploads self-test from the example

## Limitations
- No health, financial, privacy or other compliance claim is made. Data about minors is sensitive; only group schedules and materials are modeled here.  
- Verified on the python-3.12 template at s-1vcpu-1gb; region, request-duration limits and other sizes are unknown or unverified.

## Cost Estimate
- Monthly Amount: **10 USD**  
  - **App Server**: 5.0  
  - **Managed PostgreSQL Database**: 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
- Deployment of Django pattern fixture completed successfully.

## Next Actions
- Browse the catalog index  
- Search published recipes by intent, stack and constraints  
- Prepare a side-effect-free deployment plan for an authorized project  
- Read the existing agent authentication setup  
- Browse Tutoring centers  
- Browse Asset library  
- Browse Django  
- Browse Deploy web app
