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MCP Quoting System

by r-long
ROADMAP.mdβ€’11 kB
# πŸ—ΊοΈ Project Roadmap - MCP Quoting System **Current Version:** 1.0.0 β†’ 1.1.0 (In Progress) **Last Updated:** November 13, 2024 --- ## πŸ“ Where We Are Now ### βœ… Version 1.0.0 - SHIPPED (November 12, 2024) **Status:** Fully functional production-ready system **What's Working:** - Complete MCP architecture (6 capabilities + coordinator) - Rule-based similarity matching (material, process, qty, tolerance, finish) - Activity-based cost estimation - Professional web interface (TechForge branding) - Windows batch automation (START.bat, quick-test.bat, etc.) - Comprehensive documentation and test cases - JSON-based storage (quotes.json, evaluations.json) **Statistics:** - 5 sample historical quotes - 7 test cases covering all scenarios - 15+ batch files for easy operation - 10+ documentation files - Full TypeScript implementation --- ## πŸš€ Phase 1: Foundation Enhancement (v1.1.0) - IN PROGRESS **Timeline:** November 13 - December 1, 2024 (2-3 weeks) **Goal:** Enterprise-grade database backend with semantic search ### 🟒 Week 1: Database Foundation (November 13-19) #### βœ… Day 1-2: PostgreSQL Setup & Schema Design (COMPLETED) **Date:** November 13, 2024 **Completed:** - [x] Designed complete PostgreSQL schema (5 tables) - [x] Created Prisma schema file with vector support - [x] Implemented IStorageService interface - [x] Built PostgreSQL storage service (400+ lines) - [x] Created OpenAI embedding service - [x] Built JSON to PostgreSQL migration script - [x] Wrote DATABASE-SETUP.md guide (300+ lines) - [x] Created PHASE-1-PLAN.md (15-day roadmap) - [x] Updated package.json with new dependencies - [x] Created setup-phase1.bat for automated installation **Deliverables:** - 7 new files created - ~1,400 lines of new code - Complete documentation - Migration tools ready **New Capabilities:** - Vector similarity search (pgvector) - Semantic matching with OpenAI embeddings - Scalable to 10,000+ quotes - Full audit logging - Type-safe database access #### ⏳ Day 3-4: Data Access Layer (November 14-15) **Status:** Next up **Tasks:** - [ ] Install PostgreSQL locally - [ ] Install pgvector extension - [ ] Test database connection - [ ] Update storage.ts to support both JSON and PostgreSQL - [ ] Implement backward compatibility layer - [ ] Add transaction support for atomic operations - [ ] Test all existing endpoints with PostgreSQL **Acceptance Criteria:** - All existing features work with PostgreSQL - JSON fallback works if PostgreSQL unavailable - No breaking changes to API - Query response time < 100ms #### ⏳ Day 5: Testing & Migration (November 16-17) **Status:** Scheduled **Tasks:** - [ ] Write unit tests for database layer - [ ] Test data migration with sample quotes - [ ] Verify query performance benchmarks - [ ] Create rollback procedures - [ ] Run full test suite - [ ] Performance profiling **Deliverables:** - Test coverage report - Performance benchmark results - Migration verification checklist --- ### 🟑 Week 2: Vector Search Implementation (November 20-26) #### ⏳ Day 6-7: Embedding Infrastructure **Tasks:** - [ ] Generate embeddings for all historical quotes - [ ] Batch process embeddings efficiently - [ ] Store embeddings in database - [ ] Create embedding cache layer - [ ] Implement embedding update workflow #### ⏳ Day 8-9: Semantic Search **Tasks:** - [ ] Implement cosine similarity search - [ ] Create hybrid search (vector + metadata filters) - [ ] Add search result ranking logic - [ ] Optimize vector index (IVFFlat) - [ ] Add search caching with Redis (optional) #### ⏳ Day 10: Integration & Testing **Tasks:** - [ ] Update matcher.ts with vector search - [ ] Create fallback to rule-based matching - [ ] A/B test: vector vs rule-based accuracy - [ ] Performance benchmarking - [ ] Update test cases for vector search **Success Metrics:** - Vector search accuracy > 90% vs rule-based - Query time < 100ms - Cost < $5/month for typical usage --- ### 🟑 Week 3: PDF Upload & Enhancements (November 27 - December 1) #### ⏳ Day 11-12: PDF Processing **Tasks:** - [ ] Add PDF parsing dependencies - [ ] Create PDF upload endpoint (with multer) - [ ] Implement text extraction from PDFs - [ ] Add basic drawing metadata extraction - [ ] Create file storage service (local or S3) - [ ] Add file validation and virus scanning #### ⏳ Day 13-14: Enhanced Audit Logging **Tasks:** - [ ] Create audit service - [ ] Add user context tracking - [ ] Implement activity logging middleware - [ ] Create audit query API - [ ] Add compliance reporting #### ⏳ Day 15: Polish & Documentation **Tasks:** - [ ] Update all documentation - [ ] Create migration guide (v1.0 β†’ v1.1) - [ ] Write database backup procedures - [ ] Create performance tuning guide - [ ] Update CHANGELOG.md - [ ] Prepare release notes - [ ] Tag v1.1.0 release --- ## 🎯 Phase 2: User Experience (v1.2.0) - PLANNED **Timeline:** December 2024 - January 2025 (3-4 weeks) **Goal:** Professional multi-user interface with authentication ### Features: - [ ] React dashboard for quote review and approval - [ ] User authentication (JWT-based) - [ ] Role-based access control (Engineer, Manager, Admin) - [ ] Real email notifications with SMTP - [ ] Quote revision tracking and version history - [ ] Mobile-responsive advanced features - [ ] Analytics dashboard (win rates, pricing trends) ### Milestones: 1. **Week 1:** React frontend foundation 2. **Week 2:** Authentication & authorization 3. **Week 3:** Approval workflows 4. **Week 4:** Analytics & reporting --- ## πŸš€ Phase 3: Intelligence & Integration (v2.0.0) - FUTURE **Timeline:** Q1 2025 (6-8 weeks) **Goal:** AI-powered insights and external integrations ### Features: - [ ] Machine learning for quote-to-win prediction - [ ] Supplier API integrations (real-time material lead times) - [ ] Advanced CAD analysis (feature recognition, machining time) - [ ] Multi-currency support for international quotes - [ ] CRM integration (Salesforce, HubSpot) - [ ] Automated pricing optimization based on win/loss patterns - [ ] Advanced semantic search beyond keywords --- ## πŸ“Š Current Progress Overview ``` Phase 1: Foundation Enhancement [β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘] 40% Complete β”œβ”€ Week 1: Database Foundation [β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘] 50% Complete β”‚ β”œβ”€ Day 1-2: Setup & Schema [β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ] 100% βœ… β”‚ β”œβ”€ Day 3-4: Data Access Layer [β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘] 0% ⏳ β”‚ └─ Day 5: Testing [β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘] 0% ⏳ β”œβ”€ Week 2: Vector Search [β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘] 0% ⏳ └─ Week 3: PDF & Polish [β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘] 0% ⏳ Phase 2: User Experience [β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘] 0% Planned Phase 3: Intelligence [β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘] 0% Future ``` --- ## πŸ“ˆ Key Metrics ### Code Statistics: - **v1.0.0:** ~3,000 lines of TypeScript - **v1.1.0 (so far):** +1,400 lines - **Total files:** 50+ - **Documentation:** 15+ guides ### Performance Targets: - **Query Response:** < 100ms βœ… (current) β†’ target maintained - **Embedding Generation:** < 500ms (new in 1.1.0) - **PDF Processing:** < 2s (coming in 1.1.0) - **Concurrent Requests:** 50+ simultaneous - **Data Volume:** 10,000+ historical quotes ### Cost Estimates: - **Development:** Local hosting (free) - **OpenAI Embeddings:** $1-5/month - **Production Hosting:** $15-50/month (PostgreSQL cloud) --- ## πŸŽ“ Skills & Technologies ### Current Stack: - TypeScript - Node.js + Express - JSON file storage - Rule-based algorithms ### Phase 1 Additions: - βœ… PostgreSQL - βœ… Prisma ORM - βœ… pgvector - βœ… OpenAI API - βœ… Vector similarity search ### Phase 2 Additions: - React - JWT authentication - WebSockets (real-time) - Chart.js (analytics) ### Phase 3 Additions: - Machine Learning (TensorFlow.js) - External API integrations - Advanced PDF processing --- ## πŸ† Success Criteria ### Phase 1 Complete When: - [x] PostgreSQL backend operational *(in progress)* - [ ] All existing features work with new backend - [ ] Vector search implemented and tested - [ ] PDF upload capability working - [ ] Performance targets met (< 100ms queries) - [ ] Zero data loss during migration - [ ] All tests passing - [ ] Documentation complete ### Phase 2 Complete When: - [ ] Multi-user authentication working - [ ] React dashboard deployed - [ ] Role-based access implemented - [ ] Email notifications operational - [ ] Analytics dashboard complete ### Phase 3 Complete When: - [ ] ML predictions accurate (>80%) - [ ] Supplier integrations live - [ ] CAD analysis operational - [ ] Multi-currency working - [ ] CRM integrations complete --- ## πŸ“š Documentation Status ### βœ… Completed: - README.md - QUICKSTART.md - DATABASE-SETUP.md - PHASE-1-PLAN.md - PHASE-1-PROGRESS.md - BATCH-FILES-README.md - TEST-CASES.md - WEB-INTERFACE-GUIDE.md - BUILD-TROUBLESHOOTING.md ### 🟑 In Progress: - CHANGELOG.md (needs Phase 1 update) - API-REFERENCE.md (needs vector search docs) ### ⏳ Planned: - DEPLOYMENT-GUIDE.md (Phase 2) - AUTHENTICATION-GUIDE.md (Phase 2) - ML-MODEL-TRAINING.md (Phase 3) --- ## πŸ”„ Version History | Version | Date | Status | Description | |---------|------|--------|-------------| | 1.0.0 | Nov 12, 2024 | βœ… Shipped | Initial release with full MCP architecture | | 1.1.0 | Nov 13 - Dec 1, 2024 | 🟒 In Progress | PostgreSQL + Vector Search + PDF Upload | | 1.2.0 | Dec 2024 - Jan 2025 | 🟑 Planned | React UI + Authentication + Analytics | | 2.0.0 | Q1 2025 | ⏳ Future | ML + Integrations + Advanced Features | --- ## 🎯 Next Immediate Actions ### Today (November 13, 2024): 1. Review Phase 1 progress 2. Ensure understanding of new architecture 3. Prepare for Day 3 implementation ### Tomorrow (November 14, 2024): 1. Install PostgreSQL + pgvector 2. Run `setup-phase1.bat` 3. Test database connection 4. Begin data access layer integration ### This Week: 1. Complete Week 1 tasks (database foundation) 2. Migrate existing quotes to PostgreSQL 3. Verify all features work with new backend 4. Performance testing --- ## πŸ“ž Support & Resources ### Documentation: - [Phase 1 Plan](PHASE-1-PLAN.md) - Detailed 15-day plan - [Phase 1 Progress](PHASE-1-PROGRESS.md) - Daily updates - [Database Setup](DATABASE-SETUP.md) - Installation guide ### Quick Commands: ```bash npm run dev # Start development server npm run db:setup # Initialize database npm run db:migrate # Migrate JSON to PostgreSQL npm run prisma:studio # Browse database visually npm test # Run test suite ``` ### Getting Help: - Check DATABASE-SETUP.md troubleshooting section - Review PHASE-1-PROGRESS.md for context - Consult Prisma docs: https://www.prisma.io/docs --- **πŸŽ‰ We're making great progress! Phase 1 Week 1 is 50% complete!** *Last updated: November 13, 2024*

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