Backend: thread on_fallback callback through analysis chain
(gemini_service → agents → analysis_service → handlers). The handler
sends a 'model_fallback' WebSocket message exactly once per analysis
when the primary model is unavailable.
Frontend: handle 'model_fallback' WS message and show a dismissible
yellow toast at the bottom of the screen with an 8-second auto-dismiss.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add file_hash and is_identical_file columns to proof_versions table
- Compute MD5 hash on file upload and compare with previous version
- Display warning banner when uploading identical file as revision
- Return is_identical_file in WebSocket response and API endpoints
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add brand field to AnalyzeProofOptions interface and WebSocket message
- Pass campaign's brandGuidelines to analyzeProof in App.tsx (upload & retry)
- Extract brand from WebSocket message in handlers.py and pass to analysis
- Update AnalysisService.analyze_proof to accept brand parameter
- Refactor BrandAgent to dynamically select brand spec based on brand param
- Add get_barclays_brand_spec() method to ReferenceDocsService (placeholder)
The brand agent now uses the appropriate specification (Barclaycard spec or
Barclays spec when available) based on the campaign's brandGuidelines setting.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
PDFs are now converted to PNG images at 200 DPI before being sent to
Gemini for analysis. This fixes the unreliable iframe-based PDF preview
and ensures all pages are properly analyzed.
- Add PyMuPDF dependency for PDF rasterization
- Create pdf_service.py with rasterize() and get_page_count()
- Update agent interfaces to accept list of images for multi-page support
- Add analyze_with_images() to Gemini service for multi-image analysis
- Return rasterized PDF pages via WebSocket for frontend display
- Add page navigation UI for multi-page PDFs in preview components
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Backend:
- Add PostgreSQL service to docker-compose with health checks
- Add SQLAlchemy async models for all entities (Agency, User, Campaign,
Proof, ProofVersion, FlaggedItem, ResolvedItem, ErrorItem)
- Add Alembic migration framework with initial schema migration
- Add repository layer for CRUD operations
- Add REST API endpoints for campaigns, proofs, and audit items
- Add file storage service for proof uploads
- Update WebSocket handler to optionally persist analysis results
Frontend:
- Add apiService.ts for REST API communication
- Update geminiService.ts to support database persistence options
Deployment:
- Update deploy.sh to handle database migrations (6-step process)
- Update Dockerfile to include alembic configuration
- Add PostgreSQL environment variables to .env templates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Frontend:
- Add @azure/msal-browser and @azure/msal-react packages
- Create authConfig.ts with MSAL configuration for PKCE flow
- Create authService.ts for token acquisition and user info
- Wrap App with MsalProvider in index.tsx
- Replace dummy login with real MSAL loginPopup() in Login.tsx
- Update App.tsx to use useIsAuthenticated/useMsal hooks
- Update Profile.tsx to display real user data from claims
- Update geminiService.ts to include access_token in WebSocket messages
- Update WIPReviewer.tsx to pass msalInstance for auth
Backend:
- Add python-jose and httpx dependencies for JWT verification
- Create auth_service.py with Azure AD JWKS fetching and token verification
- Create auth.py FastAPI dependency for protected REST endpoints
- Update main.py to verify tokens on WebSocket and protect /info endpoint
- Add AZURE_TENANT_ID, AZURE_CLIENT_ID, DISABLE_AUTH to config
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
