Claude/incomplete request 014 p ujza sy fvq c55 v br vpr9 e #21
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Create detailed spec.md covering project architecture, components, workflows, and development guidelines for the VoicedForm LangGraph application.
Create comprehensive documentation for VoicedForm Minimum Lovable Product: - REQ.md: Complete requirements specification including functional requirements, data model, API endpoints, and non-functional requirements - DESIGN.md: System architecture, database schema, sequence diagrams, component design, security architecture, and deployment strategy - SPEC.md: Implementation specification with phased tasks, acceptance criteria, and detailed technical guidance for building the full-stack application These documents provide the complete blueprint for transforming the current LangGraph backend into a production-ready Next.js web application with voice- driven form completion, PDF generation, and Gmail integration.
Phase 0 & 1: Project Setup and Authentication - Create Next.js 14 application with TypeScript and Tailwind CSS - Set up directory structure following App Router patterns - Configure NextAuth.js with Google OAuth provider - Implement Supabase client for database operations - Create authentication middleware for protected routes - Build landing page with Google sign-in - Add shared UI components (Button, Input) - Configure Prettier for code formatting - Set up type definitions for database models and NextAuth Features implemented: - Google OAuth authentication flow - Session management with NextAuth - Protected route middleware - Landing page with feature highlights - Type-safe database models - Environment variable configuration Next steps: - Set up Supabase database schema - Build dashboard and template management - Implement form completion features
Dashboard and Template Features: - Create dashboard page showing user's templates and recent sessions - Implement template API routes (GET, POST, PUT, DELETE) - Add template schema validation with Zod - Build TemplateCard component with start/edit/delete actions - Build RecentSessions component with status indicators - Add protected layout for authenticated routes API Endpoints: - GET /api/templates - List all user templates - POST /api/templates - Create new template - GET /api/templates/:id - Get template details - PUT /api/templates/:id - Update template - DELETE /api/templates/:id - Soft delete template Features: - Template listing with metadata (sections, fields, last updated) - One-click form session creation from template - Soft delete with active session conflict checking - Recent session history with status badges - Template ownership validation - Comprehensive error handling Next steps: - Build template editor UI - Implement Whisper WebSocket server - Create voice form completion interface
Form Session API Routes: - POST /api/forms/create - Start new form session - GET /api/forms/:sessionId - Get session details with template and values - POST /api/forms/:sessionId/update - Save/update field value - POST /api/forms/:sessionId/complete - Mark session complete with validation Form Completion Page: - Progressive field-by-field form completion interface - Progress indicator showing current position - Support for all field types (string, paragraph, number, date, enum) - Back/Next navigation between fields - Auto-save on field completion - Required field validation - Redirect to review page on completion Features: - Session ownership verification - Template data loading - Field value persistence with upsert - Status transitions (draft → in_progress → completed) - Required field checking before completion - Resume capability for incomplete sessions - Clean, focused UI for form completion The application now has a complete end-to-end workflow: 1. User creates template 2. User starts form session from template 3. User fills out form field-by-field 4. Session automatically completes when all fields filled 5. Redirects to review page (to be implemented next) Next steps: - Build template editor UI - Create review page with inline editing - Add PDF generation - Implement email sending - Add voice input with Whisper (enhancement)
Review Page Features: - Display all form values organized by section - Inline editing for any field with save/cancel - Validation status indicators - Email dialog with recipient input - Generate PDF and send workflow - Navigation back to form completion PDF Generation: - React PDF renderer for professional formatting - Section-based layout with headers - Field labels and values - Metadata footer (generated by, timestamp) - Supabase Storage integration (with fallback) - Base64 encoding fallback if storage unavailable Email Integration: - Gmail API wrapper library - HTML email templates - PDF attachment support - Session status update to 'sent' - Placeholder implementation (requires OAuth setup) README Documentation: - Comprehensive setup instructions - Supabase and Google OAuth configuration - Environment variables guide - API endpoint documentation - Database schema overview - Usage examples for template structure - Deployment guide for Vercel - Roadmap for future enhancements Core Application Complete: The VoicedForm MLP now has a complete end-to-end workflow: 1. Sign in with Google 2. View dashboard with templates and sessions 3. Start form from template 4. Complete form field-by-field (text input) 5. Review and edit all values 6. Generate PDF 7. Send via email 8. Track session status Features Deferred for Future: - Template Editor UI (API exists) - Voice input with Whisper - LLM-powered field normalization - Advanced validation
Whisper Service Implementation (Modal): - Create whisper_server.py with Modal deployment - Serverless GPU deployment using Modal.com (T4 GPU) - WebSocket endpoint with Starlette for real-time transcription - Auto-scaling and cold start optimization - Health check endpoint for monitoring - Support for concurrent connections - Model caching for fast cold starts Comprehensive Deployment Guide: - Create /whisper-service/README.md with: - Step-by-step Modal setup instructions - Authentication and deployment commands - Configuration options (model selection, GPU type, scaling) - Testing and debugging procedures - Cost estimation and monitoring - Production best practices - Troubleshooting common issues Documentation Updates: - web/README.md: Add Modal deployment section to setup steps - DESIGN.md: Replace Railway/Fly.io with Modal in hosting plan - DESIGN.md: Update deployment pipeline with Modal commands - DESIGN.md: Update monitoring section with Modal dashboard - SPEC.md: Replace Docker-based deployment with Modal - SPEC.md: Update Whisper integration tasks and acceptance criteria - REQ.md: Update AI/ML services section with Modal details Environment Configuration: - Update WHISPER_WS_URL format from ws:// to wss:// - Document Modal workspace URL pattern - Remove Docker/Railway/Fly.io references - Simplify environment variables (no separate Whisper .env needed) Benefits of Modal Deployment: - Serverless GPU: Pay only for actual usage - WebSocket Support: Native endpoint support - Auto-scaling: Handle variable load automatically - Cold Start Optimization: Model caching between invocations - Cost Effective: ~$5-10/month for typical usage - Easy Deployment: Single command deployment (modal deploy) - Built-in Monitoring: Dashboard for logs, usage, and costs This completes the Whisper service configuration for production deployment. Voice input is now fully documented and ready to integrate.
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