page:blueprints:sports clubs:event registration:django
Sports clubs: Event Registration Using Django
Overview
A event registration 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;
- events (seq, record_type, record_id, kind, at): application-owned history written in the same transaction.
Public information includes teams, seasons and fixtures, venues, and membership fees. Kept out of scope until handling is reviewed: minor members and medical notes, safeguarding records. Medical and safeguarding records are sensitive; only schedules and coaching materials are modeled.
Technical basis verified on Django: an optimistic version check and an event row written in the same transaction, a stale update rejected, and a history query over the application-owned events (history=2 conflict=rejected).
Representative Queries
- Sports clubs: event registration using Django
- Where can I host Sports clubs: Event registration built with Django?
- I need a genuinely specialized event registration workflow covering team membership, event participation, and club media.
Resource Requirements
- Compute
- Postgres
- S3-compatible object storage
Infrastructure Requirements
- Compute: Apps run in isolated x86_64 Firecracker microVMs that auto-pause when idle and wake on request; sizes are the priced VM sizes.
- Postgres: 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: 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 sports clubs 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
Workflow Steps
- Model the sports clubs domain: Create the tables course_groups, memberships, sessions, materials, events. Teams and classes lives in course_groups; keep the sensitive classes (minor members and medical notes, safeguarding records) out of this schema.
- Register transactionally: Register transactionally with a capacity check and an event per registration.
- Reject stale concurrent updates.
- Deploy and verify history and conflict handling.
- 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/transactional-workflows) and your own acceptance checks for the sports clubs workflow.
Command:
ample logs --kind build
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 sports clubs schema and workflow are an original design for this blueprint and were not executed as a separate application.
- Public content and synthetic examples only until actual data-handling requirements have been reviewed.
Cost Estimate
- Currency: USD
- Monthly Amount: 10.0
- Basis: size prices from pricing.toml (loaded by the API) at build revision.
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 Sports clubs
- Browse Event registration
- Browse Django
- Browse Deploy web app