amazon-transcreation

Oliver/amazon-transcreation

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Author	SHA1	Message	Date
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	4a5c1c6dfe	feat: add production deployment, fix auth flow, add nginx reverse proxy - deploy.sh: one-command deploy script (--init for first time, bare for updates) - docker-compose.prod.yml: production stack with nginx, multi-worker uvicorn, no volume mounts for code - nginx/nginx.conf: reverse proxy with rate limiting, WebSocket support, static asset caching - Fix login to use real backend API instead of mock localStorage tokens - Add auth guard to AppShell (prevents flash-of-content on unauthenticated routes) - JWT claims decoded client-side for user info (no extra /me call needed) - Switch logo from missing .jpeg to .svg - Frontend API URL defaults to same-origin (works behind nginx without CORS) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-10 12:53:48 -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

Author

SHA1

Message

Date

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

4a5c1c6dfe

feat: add production deployment, fix auth flow, add nginx reverse proxy

- deploy.sh: one-command deploy script (--init for first time, bare for updates)
- docker-compose.prod.yml: production stack with nginx, multi-worker uvicorn, no volume mounts for code
- nginx/nginx.conf: reverse proxy with rate limiting, WebSocket support, static asset caching
- Fix login to use real backend API instead of mock localStorage tokens
- Add auth guard to AppShell (prevents flash-of-content on unauthenticated routes)
- JWT claims decoded client-side for user info (no extra /me call needed)
- Switch logo from missing .jpeg to .svg
- Frontend API URL defaults to same-origin (works behind nginx without CORS)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-04-10 12:53:48 -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

3 commits