Oliver/gmal-scope-builder
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4 commits

Author SHA1 Message Date
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
Vadym Samoilenko
b2812593ae Add Azure SSO + production deployment config 
- MSAL.js (PKCE) browser-side auth against Azure Entra ID
- Bearer token interceptor on all API calls
- Backend JWT validation middleware (python-jose + JWKS)
- All API routes protected; /api/health stays public
- vite base set to /gsb/, BrowserRouter basename=/gsb
- docker-compose: remove frontend service, lock backend to 127.0.0.1:8002, remove dev volumes
- backend: 2 workers, no --reload

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-03-28 18:51:18 +00:00
DJP
a1bbd330c6 AI-enhanced GMAL descriptions + matching fixes 
- New ai_descriptions service: generates rich brief-friendly descriptions
  per GMAL asset via Claude, grouped by category (135/243 generated)
- Descriptions include client synonyms, inclusions/exclusions, use cases,
  channel/format info, complexity differentiators
- GMAL Browser shows AI descriptions with green/amber status indicators
- GMAL Editor: editable AI descriptions, per-asset regenerate, batch generate all
- Matching catalog now includes AI descriptions for better semantic matching
- Fixed ORM session expiry bug: snapshot asset data before batch commits
- Fixed enum issue: removed unused UPLOADING/EXTRACTING statuses
- Added app-level logging (basicConfig) so service logs show in docker
- YOLO now batches 20 selections in parallel
- Matching returns 1 best match by default, extras only within 5% of top

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-03-28 10:12:04 -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