docs: Add comprehensive test results and status documentation
- Document all working components and test results - Identify Meilisearch authentication issue as primary blocker - Confirm OCR pipeline working with 0.85 confidence - List next steps for completing integration testing - Include database verification queries and examples OCR Test Success: - Uploaded test PDF - Extracted "Bilge Pump Maintenance" and "Electrical System" text - Document ID: f23fdada-3c4f-4457-b9fe-c11884fd70f2 - Confidence: 85% 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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TEST_RESULTS.md
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# NaviDocs Local Testing Results
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**Date:** 2025-10-19
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**Environment:** WSL2 Ubuntu
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## ✅ Working Components
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### 1. System Dependencies
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- **Redis**: 7.0.15 running on port 6379
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- **Tesseract OCR**: 5.3.4 with English training data
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- **Poppler Utils**: pdftoppm for PDF to image conversion
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- **Meilisearch**: 1.11.3 binary running on port 7700
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### 2. Database
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- **SQLite**: navidocs.db initialized with all 13 tables
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- **Schema**: Users, organizations, documents, document_pages, OCR jobs, etc.
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- **Test Data**: Created test user and organization for testing
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### 3. Backend API
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- **Server**: Express app running on port 3001
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- **Health Check**: `http://localhost:3001/health` ✅
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- **Upload Endpoint**: `/api/upload` accepting PDF files ✅
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- **Jobs Endpoint**: `/api/jobs/:jobId` tracking OCR progress ✅
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### 4. OCR Pipeline
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**STATUS: ✅ WORKING**
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- **PDF Upload**: Successfully accepts PDF files
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- **Queue Processing**: BullMQ + Redis queuing working
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- **PDF to Image**: pdftoppm conversion working at 300 DPI
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- **Text Extraction**: Tesseract OCR extracting text successfully
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- **Confidence Score**: 0.85 (85%) average confidence
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- **Database Storage**: Pages saved to `document_pages` table
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#### Test Results
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Uploaded NaviDocs Test Manual - Successfully extracted:
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```
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"NaviDocs Test Manual Page 7 Bilge Pump Maintenance
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lge pump is located in the aft compar ar maintenance
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is required every 6 mc Electrical System heck the
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battery connections regularl)"
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```
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**Document ID:** f23fdada-3c4f-4457-b9fe-c11884fd70f2
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**Confidence:** 0.85
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**Language:** eng
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### 5. OCR Worker
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- **BullMQ Worker**: Processing jobs from `ocr-processing` queue
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- **Concurrency**: 2 documents at a time
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- **Progress Tracking**: Real-time progress updates (0-100%)
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- **Error Handling**: Graceful failure handling per page
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## ⚠️ Known Issues
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### 1. Meilisearch Authentication
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**STATUS: NOT WORKING**
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The Meilisearch instance is running with authentication enabled, but we're unable to determine the correct master key. Attempts with the following keys failed:
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- `masterKey` (from current .env)
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- `your-master-key-here-change-in-production` (from previous .env)
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- Empty/undefined (no auth)
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**Impact**: Search indexing fails after OCR completion. OCR text is saved to database but not indexed in Meilisearch.
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**Error Message:**
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```
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MeiliSearchApiError: The provided API key is invalid.
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code: 'invalid_api_key'
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httpStatus: 403
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```
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**Workaround Options:**
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1. Restart Meilisearch with a known master key: `./meilisearch --master-key="testkey123"`
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2. Manually index documents using correct API key
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3. Run Meilisearch without authentication for development
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### 2. Frontend
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**STATUS: NOT TESTED**
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The Vite dev server is running on port 5174 but frontend functionality has not been tested yet.
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**TODO:**
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- Test upload modal
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- Test search interface
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- Test document viewer
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- Test page navigation
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## 📊 Service Status
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| Service | Port | Status | PID |
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|---------|------|--------|-----|
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| Meilisearch | 7700 | ✅ Running | Unknown |
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| Redis | 6379 | ✅ Running | System |
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| Backend API | 3001 | ✅ Running | 48254 |
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| OCR Worker | - | ✅ Running | Active |
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| Frontend | 5174 | ⚠️ Running (not tested) | Active |
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## 🔧 Configuration Changes
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### Files Modified:
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1. **server/services/ocr.js**
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- Added language code mapping (en → eng)
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- Switched to local system tesseract command
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- Added TESSDATA_PREFIX environment variable
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2. **server/.env**
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- Updated MEILISEARCH_MASTER_KEY (still needs correct value)
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3. **server/config/meilisearch.js**
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- Updated default master key fallback
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### Test Files Created:
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- **test-manual.pdf**: Single-page test PDF with sample marine manual content
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- **test/data/05-versions-space.pdf**: Workaround for pdf-parse debug mode
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## 📝 Next Steps
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### High Priority:
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1. **Fix Meilisearch Authentication**
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- Determine or set correct master key
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- Restart Meilisearch with known key
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- Re-process a test document to verify indexing
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2. **Test Search Functionality**
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- Manually index a document if needed
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- Test search queries
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- Verify synonym search (e.g., "bilge" finds "sump pump")
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- Test tenant token generation
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3. **Test Frontend UI**
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- Open http://localhost:5174
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- Test document upload flow
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- Test search interface
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- Test document viewer
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### Medium Priority:
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4. **Integration Testing**
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- Upload multiple PDFs
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- Test concurrent OCR processing
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- Verify database integrity
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- Test error scenarios
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5. **Performance Testing**
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- Large PDF files (50+ pages)
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- Multiple concurrent uploads
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- Search response times
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## 📋 Database Verification
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### Successful OCR Records:
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```sql
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SELECT COUNT(*) FROM document_pages WHERE ocr_confidence > 0;
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-- Result: 5 successful pages
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SELECT document_id, page_number, ocr_confidence,
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LENGTH(ocr_text) as text_length
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FROM document_pages
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WHERE ocr_confidence > 0;
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```
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### Failed OCR Records:
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```sql
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SELECT COUNT(*) FROM document_pages WHERE ocr_confidence = 0;
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-- Result: 4 failed pages (due to 'en' vs 'eng' language code issue - now fixed)
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```
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## 🚀 How to Continue Testing
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### Upload a Document:
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```bash
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curl -X POST http://localhost:3001/api/upload \
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-F "file=@test-manual.pdf" \
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-F "title=My Boat Manual" \
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-F "documentType=owner-manual" \
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-F "organizationId=test-org-id"
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```
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### Check Job Status:
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```bash
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curl http://localhost:3001/api/jobs/{jobId} | jq
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```
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### Check Database:
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```bash
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cd server
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node -e "
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import { getDb } from './db/db.js';
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const db = getDb();
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const pages = db.prepare('SELECT * FROM document_pages ORDER BY created_at DESC LIMIT 1').all();
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console.log(JSON.stringify(pages, null, 2));
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"
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```
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## 🎯 Success Criteria Met:
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- ✅ All system dependencies installed
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- ✅ Database initialized and working
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- ✅ All services running
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- ✅ Upload endpoint functional
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- ✅ OCR pipeline extracting text with high confidence
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- ✅ Job queue processing documents
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- ✅ Database storing OCR results
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- ⚠️ Search indexing needs Meilisearch auth fix
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- ❓ Frontend UI not yet tested
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## Git Commits:
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1. **Initial setup commit**: chore: Local development environment setup
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2. **Tesseract fix commit**: fix: Switch to local system tesseract command for OCR
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3. **OCR completion commit**: fix: Complete OCR pipeline with language code mapping
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