Oliver/amazon-transcreation
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6 commits

Author SHA1 Message Date
Vadym Samoilenko
075bbb69e5 Implement user management: viewer role, real API wiring, admin sidebar 
- Add viewer role to backend enum + Alembic migration
- SSO auto-provisioned users now get viewer (lowest privilege) by default
- Wire admin/users page to real API (replace mock data), with add/edit/deactivate
- Fix frontend UserRole enum to match backend (TM_MANAGER, REVIEWER)
- Replace hardcoded mock user in Sidebar with real auth, filter admin-only nav items, wire logout
- Add seed script to set default admins (daveporter, vadymsamoilenko)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 18:37:16 +01:00
Vadym Samoilenko
f60b7261b5 Add Azure AD MSAL SSO (SPA token exchange) 
- Backend: Azure AD JWKS validator with 24h cache, new POST /api/v1/auth/sso/login
  endpoint, sso_login() in AuthService with auto-provisioning, password_hash made
  nullable, auth_provider column added, Alembic migration c1d2e3f4a5b6
- Frontend: @azure/msal-browser, msal.ts config singleton, ssoLogin() API function,
  login page updated with SSO button and redirect callback handling
- Deploy: frontend Dockerfile and docker-compose.prod.yml updated to bake Azure AD
  vars into the image at build time; deploy.sh validates SSO config on init/deploy

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 18:08:46 +01:00
DJP
d5fa4e49f7 Fix markdown table parser losing backtranslations/rationales, add model selection, update help page 
The V25 table has duplicate column names (Backtranslation x3, Rationale x3).
The dict-based parser collapsed these — only the last value survived (Option 3's
"N/A"), causing all BT/rationale fields to be "N/A" in the output Excel.

Fixed by switching to positional list-based parsing instead of dicts.

Also adds per-job model selection (Sonnet 4.6 / Opus 4.6) through the full
stack: DB column, API schema, job wizard UI dropdown, pipeline contracts, and
LLM client with model-aware cost tracking. Includes Alembic migration.

Updated help page and README to reflect single-agent pipeline, multi-TM
selection, flat locale grid, model selector, and linguistic summary.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-14 12:40:17 -04:00
DJP
d56311b862 Implement standalone agent feedback: consolidated locale selector, multi-TM selection, single-agent pipeline, and linguistic summary 
Four changes from user testing feedback:
1. Merge MAIN/DERIVED locale selectors into single 12-locale grid, auto-classify locale_type
2. Add multi-TM channel selection (checkbox grid, tm_channels JSON column, multi-file resolution)
3. Replace 6-agent pipeline with single V25-based agent (feature-flagged via USE_SINGLE_AGENT)
4. Replace Excel Tab 2 metadata with linguistic summary from agent output

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-14 12:09:51 -04:00
DJP
f2398e04c4 feat: add real-time progress tracking and admin job deletion 
Progress tracking:
- Add progress (0-100%) and current_stage columns to locale_instances
- Wire orchestrator on_progress callback to update DB at each pipeline stage
- Agent 4 reports batch-level sub-progress (e.g. "Translating batch 2/4")
- Frontend reads real progress/stage data instead of hardcoding 50%
- Stages: Loading Files → Matching TM → Ranking → Translating (per-batch) → Reviewing → Formatting → Complete

Job deletion:
- DELETE /jobs/{id} endpoint (admin-only, 403 for non-admins)
- Cannot delete running jobs (must cancel first)
- Cascades to locale instances, output rows, source lines
- Frontend: Delete button with confirmation on job monitoring page (admin only)

Also: compute live duration_seconds from started_at, map pipeline stages to UI status badges.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-10 16:18:59 -04:00
DJP
98fa16bfc3 feat: complete Phase 1-2 scaffold — backend, frontend, pipeline skeleton 
Full-stack Amazon AI Transcreation Platform with:
- FastAPI backend (async, PostgreSQL, Redis, Celery) with 11 DB tables
- JWT auth (SSO-ready abstract provider pattern)
- 6-agent pipeline orchestrator with deterministic modules
- Next.js 14 frontend with Amazon branding (Ember fonts, orange/dark theme)
- Job wizard, monitoring HUD, output review, admin screens
- 154 TM/reference files imported, 12 locales configured
- Docker Compose for all services

Agents 2-5 (TM retrieval, ranker, transcreator, compliance) are stubs
pending Phase 3 LLM integration.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-10 12:31:43 -04:00