navidocs/intelligence/session-2/if-bus-message-s2h10.json
Claude d250dc334e
Session 2: Complete technical architecture from 11 Haiku agents
All 11 agents (S2-H01 through S2-H09 + S2-H03A + S2-H07A) have completed
their technical specifications:

- S2-H01: NaviDocs codebase architecture analysis
- S2-H02: Inventory tracking system (€15K-€50K value recovery)
- S2-H03: Maintenance log & reminder system
- S2-H04: Camera & Home Assistant integration
- S2-H05: Contact management system
- S2-H06: Accounting module & receipt OCR integration
- S2-H07: Impeccable search UX (Meilisearch facets)
- S2-H08: WhatsApp Business API + AI agent integration
- S2-H09: Document versioning with IF.TTT compliance
- S2-H03A: VAT/tax jurisdiction tracking & compliance
- S2-H07A: Multi-calendar system (4 calendar types)

Total: ~15,600 lines of technical specifications
Status: Ready for S2-H10 synthesis (awaiting Session 1 completion)
IF.bus: All inter-agent communications documented
2025-11-13 01:57:25 +00:00

84 lines
4.3 KiB
JSON

{
"performative": "inform",
"sender": "if://agent/session-2/haiku-01",
"receiver": [
"if://agent/session-2/haiku-10"
],
"timestamp": "2025-11-13T00:00:00Z",
"messageId": "msg-s2h01-to-s2h10-001",
"content": {
"claim": "NaviDocs architecture analyzed - integration points identified",
"evidence": [
"server/db/schema.sql",
"server/routes/*.js",
"server/services/*.js",
"server/workers/*.js",
"server/index.js",
"package.json (both server and client)"
],
"confidence": 0.95,
"analysis_scope": {
"database_schema_sections": 12,
"api_endpoint_groups": 11,
"services_documented": 15,
"workers_identified": 2,
"new_feature_integration_points": 3
},
"integration_points": [
"Inventory Management: Extend components table with quantity/reorder fields, create inventory_transactions table, add /api/inventory routes and inventory.service.js",
"Maintenance Tracking: Add maintenance_logs table, extend components with maintenance intervals, create maintenance.service.js and /api/maintenance routes, implement maintenance-reminders worker",
"Camera/Document Capture: Create camera_sessions table, add capture_method to documents, implement capture.service.js and /api/capture routes, extend OCR worker for batch-frame processing",
"Search Enhancement: Leverage existing Meilisearch integration for new features, extend indexing patterns in search.service.js",
"Permission System: Entity-level and document-level permissions fully documented, can be extended for feature-specific access control"
],
"tech_stack_validation": {
"frontend": {
"vue3": "^3.5.0 - confirmed",
"vite": "^5.0.0 - confirmed",
"pinia": "^2.2.0 - confirmed",
"tailwind": "^3.4.0 - confirmed"
},
"backend": {
"express": "^5.0.0 - confirmed",
"sqlite": "better-sqlite3 ^11.0.0 - confirmed",
"redis": "ioredis ^5.0.0 - confirmed",
"bullmq": "^5.0.0 - confirmed",
"meilisearch": "^0.41.0 - confirmed",
"tesseract": "tesseract.js ^5.0.0 - confirmed"
},
"all_required_technologies_present": true
},
"database_capabilities": {
"multi_tenant": "Full support via organizations + user_organizations",
"multi_vertical": "Supported via entity_type field (boat, marina, condo, yacht-club, etc)",
"hierarchical_components": "sub_entities -> components structure",
"document_linking": "Documents link to organization, entity, sub_entity, component",
"permissions": "Entity-level and document-level granular access control",
"audit_trail": "Audit events service for compliance tracking"
},
"key_architecture_insights": [
"BullMQ-based background job processing with Redis backing - well-suited for scaling OCR pipeline",
"Meilisearch as dedicated search index separate from SQLite - enables full-text search across large document collections",
"JWT + refresh token pattern with bcrypt password hashing - production-ready auth implementation",
"Role-based access control with expiring permissions - flexible for multi-stakeholder scenarios",
"Modular service layer with clear separation from routes - easy to extend with new features",
"Document image extraction integrated into OCR pipeline - supports future vision/analysis features"
],
"ready_for_phases": [
"Phase 1: Inventory Management (3-4 days, 3 files, +2 tables)",
"Phase 2: Maintenance Tracking (2-3 days, 3 files, +1 table)",
"Phase 3: Camera/Document Capture (4-5 days, 4 files, +2 tables)",
"Phase 4: Enhanced Search & Analytics (2-3 days, 2 files)"
],
"deliverable_location": "/home/user/navidocs/intelligence/session-2/codebase-architecture-map.md",
"deliverable_size": "Comprehensive 12-section analysis (Section 1-12 complete)",
"analysis_status": "Complete - Ready for feature implementation planning",
"next_steps_for_s2h10": [
"Review codebase-architecture-map.md for detailed integration guidance",
"Identify priority features for implementation from Phase 1-4 roadmap",
"Plan database migration strategy (schema.sql updates vs migrations)",
"Design API contracts for new endpoints",
"Estimate resource allocation based on effort estimates provided"
]
}
}