Central lifecycle policy
Request states and transitions share one vocabulary across public and staff flows.
Django · GovTech · Standalone work paused
TracePoint
A focused implementation of account-free citizen requests, controlled staff transitions, document review, and auditable history. Its lifecycle work is now being integrated into GRAND.
- Contribution
- Lifecycle design, Django services, public and staff flows
- Stack
- Python, Django, JavaScript, SQL
- Last milestone
- v0.5 — Lifecycle Engine
- Status
- Paused while capabilities move into GRAND
The problem
Continuity without unnecessary account friction
Assistance requests move across document submission, review, correction, approval, claiming, and closure. Citizens need a safe way to continue without creating an account, while staff need role-aware actions, valid transitions, and a complete operational history.
SubmitNo citizen account
CompleteSecure edit link
ReviewRole-aware staff flow
FulfillAuditable closure
Engineering decisions
Rules live in services, not scattered views
Secure continuation
A dedicated edit token acts as the public mutation credential.
Document separation
Document review states remain independent from request states.
Audit-friendly events
Status, document, citizen, notification, and workflow actions become timeline entries.
Architecture
Service boundaries for workflow rules
Public forms / secure continuation Staff queues / role-aware actions
│ │
└──────────── Django views ─────────────┘
│
Lifecycle + workflow services
│ │ │
Documents Timeline Notifications
└──────────┬──────────┘
Django ORM
Quality evidence
Tests focus on rules that protect the workflow
Lifecycle behavior
Focused tests cover transitions, role-aware actions, and blocked approvals.
Public-flow security
Token validation and invalid mutation attempts use centralized services.
Document integrity
Soft deletion preserves history while review states support correction.
Notification resilience
Best-effort adapters do not corrupt lifecycle state.
Public GitHub API
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