Commit graph

3 commits

Author SHA1 Message Date
DJP
c49f83a5a2 Role-based access control: Viewer / Editor / Admin
Backend:
- AppUser model with email, name, role (viewer/editor/admin), azure_oid
- Users API: GET /users/me (current user + role), GET /users (admin: list all),
  PUT /users/{id}/role (admin: change role)
- Auto-create user on first login: first user = admin, rest = editor
- get_or_create_user helper for role lookup
- require_role helper for permission checks

Frontend:
- UserRoleContext provides role to all components
- useUserRole() hook: isAdmin, isEditor, isViewer
- Nav items filtered by role: GMAL Editor + Users only for admin
- Dashboard: Ingest button admin-only, New Project editor-only
- User Management page: list all users, change roles via dropdown
- Role badges: admin (red), editor (gold), viewer (grey)

Roles:
- Viewer: view projects, download exports
- Editor: create/edit projects, upload, match, build ratecards
- Admin: all + GMAL Editor, data ingest, user management

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 12:29:04 -04:00
DJP
82046c784c P1: Role-specific efficiency profiles + BTG tool efficiencies
Backend:
- New models: MatchFeedback, EfficiencyProfile, EfficiencyRate, ToolEfficiency, ToolEfficiencyRate
- 3 preset profiles seeded: Conservative, Moderate, Aggressive with per-discipline rates
- 6 BTG tools seeded: Pencil, OMG, Creative X, Cortex, Semblance, Share of Model
- Efficiency API: CRUD for profiles and tools at /api/efficiency/
- team_shape.py: accepts profile_rates + tool_rates (per-discipline, additive, capped at 90%)
- team-shape endpoint: accepts profile_id and tool_ids query params
- Programme roles always exempt regardless of method

Example: Moderate profile + Creative X + Pencil → Account Mgmt 10%, Creative 70%, Production 65%

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-09 13:48:30 -04:00
DJP
e18976fdb2 Initial commit - GMAL Scope Builder
Dockerized web app (FastAPI + React + PostgreSQL) for scoping client ratecards
against the GMAL master asset database. Features:
- GMAL data ingestion from Excel (390 assets, 120 roles, 5 model types)
- AI-powered document parsing and asset extraction (Claude Opus 4.6)
- AI matching engine with parallel batching, confidence scoring, caveats
- Ratecard builder with hours x volume calculation
- Excel and PDF export
- GMAL browser and inline editor
- AI cost tracking per project (persisted to DB)
- Debug panel for AI call inspection
- Dark theme UI with gold (#FFC407) accent

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-27 17:35:14 -04:00