page:blueprints:sports clubs:asset library:django

Sports clubs: asset library using Django

Summary

A asset library blueprint for sports clubs built with Django on Ample. Domain schema:

• course_groups (team_or_class, season, age_group): teams and classes
• memberships (course_group_id, member_reference, guardian_reference, role): players, guardians and coaches
• sessions (course_group_id, starts_at, venue, type): training and fixtures
• materials (course_group_id, title, object_key, visibility): schedules and coaching resources
• uploads (id, owner_reference, object_key, content_type, size, uploaded_at): validated uploads linked to their owner.

Public information includes teams, seasons and fixtures, venues, membership fees. Sensitive items such as minor members and medical notes are excluded until handling is reviewed. The technical basis has been verified on Django, ensuring content-type and size validation, with proper linking for uploads.

Representative Queries

• Sports clubs: asset library using Django
• Where can I host Sports clubs: Asset library built with Django?
• I need a genuinely specialized asset library workflow covering team membership, event participation and club media.

Resource Requirements

• primitive: compute
• primitive: postgres
• primitive: s3-compatible-object-storage

Infrastructure Requirements

1. Compute: Apps run in isolated x86_64 Firecracker microVMs that auto-pause when idle.
2. Postgres: Managed PostgreSQL 16 runs in its own microVM and is auto-provisioned.
3. S3-compatible object storage: Buckets are S3-compatible with issued credentials.

Prerequisites

• A Django project (e.g. pip install into .ample/python)
• A PostgreSQL driver reading DATABASE_URL.
• Bucket credentials from ample bucket create.
• Review of which sports clubs data classes may be handled; public information only.

Workflow Steps

1. Model the sports clubs domain: Create tables for groups, memberships, sessions, materials, and uploads.
2. Workflow step 1: Link assets to their owning group or workspace.
3. Workflow step 2: Validate uploads and store them in a private bucket.
4. Workflow step 3: Authorize downloads by membership.
5. Workflow step 4: Deploy and verify rejection of disallowed files.

Limitations

• The technical basis was verified only with the pattern fixture; workflow is an original design and not executed as a separate application.
• No claims of health, financial, or privacy compliance. Medical records are sensitive and modeled minimally.

Cost Estimate

• Currency: USD
• Monthly Amount: $10.00
• Components:
  • App server: $5.00 (size: s-1vcpu-1gb)
  • Managed PostgreSQL: $5.00 (size: s-1vcpu-1gb)

Success Checks

1. App responds on its public URL.
2. Successful self-test for browser file uploads.

Next Actions

• Browse the catalog index.
• Search published recipes by intent.
• Prepare a side-effect-free deployment plan for an authorized project.
• Read the existing agent authentication setup.