ggq-admin
09892de4a3
chore: Local development environment setup
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- Installed system dependencies (Redis, Tesseract, poppler-utils)
- Downloaded and configured Meilisearch 1.11.3
- Initialized SQLite database with schema
- Started all services successfully:
- Meilisearch on port 7700
- Redis on port 6379
- Backend API on port 3001
- OCR Worker (BullMQ)
- Frontend dev server on port 5174
All health checks passing. Ready for testing.
\ud83e\udd16 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-19 04:42:55 +02:00
ggq-admin
86f92d443c
docs: Add build completion summary
2025-10-19 01:57:25 +02:00
ggq-admin
155a8c0305
feat: NaviDocs MVP - Complete codebase extraction from lilian1
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## Backend (server/)
- Express 5 API with security middleware (helmet, rate limiting)
- SQLite database with WAL mode (schema from docs/architecture/)
- Meilisearch integration with tenant tokens
- BullMQ + Redis background job queue
- OCR pipeline with Tesseract.js
- File safety validation (extension, MIME, size)
- 4 API route modules: upload, jobs, search, documents
## Frontend (client/)
- Vue 3 with Composition API (<script setup>)
- Vite 5 build system with HMR
- Tailwind CSS (Meilisearch-inspired design)
- UploadModal with drag-and-drop
- FigureZoom component (ported from lilian1)
- Meilisearch search integration with tenant tokens
- Job polling composable
- Clean SVG icons (no emojis)
## Code Extraction
- ✅ manuals.js → UploadModal.vue, useJobPolling.js
- ✅ figure-zoom.js → FigureZoom.vue
- ✅ service-worker.js → client/public/service-worker.js (TODO)
- ✅ glossary.json → Merged into Meilisearch synonyms
- ❌ Discarded: quiz.js, persona.js, gamification.js (Frank-AI junk)
## Documentation
- Complete extraction plan in docs/analysis/
- README with quick start guide
- Architecture summary in docs/architecture/
## Build Status
- Server dependencies: ✅ Installed (234 packages)
- Client dependencies: ✅ Installed (160 packages)
- Client build: ✅ Successful (2.63s)
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-19 01:55:44 +02:00
ggq-admin
c0512ec643
docs: Add architecture summary
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Comprehensive overview of:
- Core architectural decisions
- Schema design rationale
- Technology stack
- Scaling strategy
- Expert panel consensus
- Success criteria
Ready for implementation phase.
2025-10-19 01:23:40 +02:00
ggq-admin
9c88146492
docs: Complete architecture, roadmap, and expert panel analysis
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Architecture:
- database-schema.sql: Future-proof SQLite schema with Postgres migration path
- meilisearch-config.json: Search index config with boat terminology synonyms
- hardened-production-guide.md: Security hardening (queues, file safety, tenant tokens)
Roadmap:
- v1.0-mvp.md: Feature roadmap and success criteria
- 2-week-launch-plan.md: Day-by-day execution plan with deliverables
Debates:
- 01-schema-and-vertical-analysis.md: Expert panel consensus on architecture
Key Decisions:
- Hybrid SQLite + Meilisearch architecture
- Search-first design (Meilisearch as query layer)
- Multi-vertical support (boats, marinas, properties)
- Offline-first PWA approach
- Tenant token security (never expose master key)
- Background queue for OCR processing
- File safety pipeline (qpdf + ClamAV)
2025-10-19 01:22:42 +02:00
ggq-admin
c54c20c7af
docs: Add expert panel debates on schema design and vertical analysis
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- Tech panel: Database schema, Meilisearch config, future-proofing
- Boating vertical: Domain experts on boat documentation needs
- Property/Marina vertical: Multi-entity hierarchy and compliance
- Cross-vertical pattern analysis: Unified schema for all use cases
Consensus: Search-first architecture with SQLite + Meilisearch hybrid
2025-10-19 01:20:17 +02:00
ggq-admin
63aaf2868a
Initial commit: NaviDocs repository
2025-10-19 01:20:12 +02:00
