navidocs/TEST_RESULTS.md

# NaviDocs Local Testing Results

**Date:** 2025-10-19
**Environment:** WSL2 Ubuntu

## ✅ Working Components

### 1. System Dependencies
- **Redis**: 7.0.15 running on port 6379
- **Tesseract OCR**: 5.3.4 with English training data
- **Poppler Utils**: pdftoppm for PDF to image conversion
- **Meilisearch**: 1.11.3 binary running on port 7700

### 2. Database
- **SQLite**: navidocs.db initialized with all 13 tables
- **Schema**: Users, organizations, documents, document_pages, OCR jobs, etc.
- **Test Data**: Created test user and organization for testing

### 3. Backend API
- **Server**: Express app running on port 3001
- **Health Check**: `http://localhost:3001/health` ✅
- **Upload Endpoint**: `/api/upload` accepting PDF files ✅
- **Jobs Endpoint**: `/api/jobs/:jobId` tracking OCR progress ✅

### 4. OCR Pipeline
**STATUS: ✅ WORKING**

- **PDF Upload**: Successfully accepts PDF files
- **Queue Processing**: BullMQ + Redis queuing working
- **PDF to Image**: pdftoppm conversion working at 300 DPI
- **Text Extraction**: Tesseract OCR extracting text successfully
- **Confidence Score**: 0.85 (85%) average confidence
- **Database Storage**: Pages saved to `document_pages` table

#### Test Results
Uploaded NaviDocs Test Manual - Successfully extracted:
```
"NaviDocs Test Manual Page 7 Bilge Pump Maintenance
lge pump is located in the aft compar ar maintenance
is required every 6 mc Electrical System heck the
battery connections regularl)"
```

**Document ID:** f23fdada-3c4f-4457-b9fe-c11884fd70f2
**Confidence:** 0.85
**Language:** eng

### 5. OCR Worker
- **BullMQ Worker**: Processing jobs from `ocr-processing` queue
- **Concurrency**: 2 documents at a time
- **Progress Tracking**: Real-time progress updates (0-100%)
- **Error Handling**: Graceful failure handling per page

## ⚠️ Known Issues

### 1. Meilisearch Authentication
**STATUS: NEEDS MANUAL RESTART**

The Meilisearch instance is running, but the master key is unknown or has changed. We attempted to restart with `changeme123` as the master key, but a persisted Meilisearch instance appears to be running with a different key.

**What was attempted:**
- Removed `data.ms` directory to start fresh
- Started Meilisearch with `--master-key="changeme123"`
- Updated `.env` to use `changeme123`
- Added dotenv loading to OCR worker
- However, the Meilisearch instance is still rejecting the key

**Impact**: Search indexing fails after OCR completion. **OCR text IS successfully saved to database** but not indexed in Meilisearch for search.

**Error Message:**
```
MeiliSearchApiError: The provided API key is invalid.
code: 'invalid_api_key'
httpStatus: 403
```

**Solution Steps:**
1. Find and kill ALL Meilisearch processes:
   ```bash
   pkill -9 meilisearch
   # OR
   echo "setup" | sudo -S fuser -k 7700/tcp
   ```

2. Remove all Meilisearch data:
   ```bash
   cd /home/setup/navidocs
   rm -rf data.ms meilisearch-data
   ```

3. Start Meilisearch with known key:
   ```bash
   /home/setup/opt/meilisearch --master-key="changeme123" --no-analytics \
     --db-path=/home/setup/navidocs/meilisearch-data > logs/meilisearch.log 2>&1 &
   ```

4. Verify the key works:
   ```bash
   curl -H "Authorization: Bearer changeme123" http://127.0.0.1:7700/keys
   ```

5. Restart the OCR worker:
   ```bash
   cd /home/setup/navidocs
   pkill -f ocr-worker
   node server/workers/ocr-worker.js > logs/worker.log 2>&1 &
   ```

6. Upload a test document and verify indexing works

### 2. Frontend
**STATUS: NOT TESTED**

The Vite dev server is running on port 5174 but frontend functionality has not been tested yet.

**TODO:**
- Test upload modal
- Test search interface
- Test document viewer
- Test page navigation

## 📊 Service Status

| Service | Port | Status | PID |
|---------|------|--------|-----|
| Meilisearch | 7700 | ✅ Running | Unknown |
| Redis | 6379 | ✅ Running | System |
| Backend API | 3001 | ✅ Running | 48254 |
| OCR Worker | - | ✅ Running | Active |
| Frontend | 5174 | ⚠️ Running (not tested) | Active |

## 🔧 Configuration Changes

### Files Modified:
1. **server/services/ocr.js**
   - Added language code mapping (en → eng)
   - Switched to local system tesseract command
   - Added TESSDATA_PREFIX environment variable

2. **server/.env**
   - Updated MEILISEARCH_MASTER_KEY (still needs correct value)

3. **server/config/meilisearch.js**
   - Updated default master key fallback

### Test Files Created:
- **test-manual.pdf**: Single-page test PDF with sample marine manual content
- **test/data/05-versions-space.pdf**: Workaround for pdf-parse debug mode

## 📝 Next Steps

### High Priority:
1. **Fix Meilisearch Authentication**
   - Determine or set correct master key
   - Restart Meilisearch with known key
   - Re-process a test document to verify indexing

2. **Test Search Functionality**
   - Manually index a document if needed
   - Test search queries
   - Verify synonym search (e.g., "bilge" finds "sump pump")
   - Test tenant token generation

3. **Test Frontend UI**
   - Open http://localhost:5174
   - Test document upload flow
   - Test search interface
   - Test document viewer

### Medium Priority:
4. **Integration Testing**
   - Upload multiple PDFs
   - Test concurrent OCR processing
   - Verify database integrity
   - Test error scenarios

5. **Performance Testing**
   - Large PDF files (50+ pages)
   - Multiple concurrent uploads
   - Search response times

## 📋 Database Verification

### Successful OCR Records:
```sql
SELECT COUNT(*) FROM document_pages WHERE ocr_confidence > 0;
-- Result: 5 successful pages

SELECT document_id, page_number, ocr_confidence,
       LENGTH(ocr_text) as text_length
FROM document_pages
WHERE ocr_confidence > 0;
```

### Failed OCR Records:
```sql
SELECT COUNT(*) FROM document_pages WHERE ocr_confidence = 0;
-- Result: 4 failed pages (due to 'en' vs 'eng' language code issue - now fixed)
```

## 🚀 How to Continue Testing

### Upload a Document:
```bash
curl -X POST http://localhost:3001/api/upload \
  -F "file=@test-manual.pdf" \
  -F "title=My Boat Manual" \
  -F "documentType=owner-manual" \
  -F "organizationId=test-org-id"
```

### Check Job Status:
```bash
curl http://localhost:3001/api/jobs/{jobId} | jq
```

### Check Database:
```bash
cd server
node -e "
import { getDb } from './db/db.js';
const db = getDb();
const pages = db.prepare('SELECT * FROM document_pages ORDER BY created_at DESC LIMIT 1').all();
console.log(JSON.stringify(pages, null, 2));
"
```

## 🎯 Success Criteria Met:
- ✅ All system dependencies installed
- ✅ Database initialized and working
- ✅ All services running
- ✅ Upload endpoint functional
- ✅ OCR pipeline extracting text with high confidence
- ✅ Job queue processing documents
- ✅ Database storing OCR results
- ⚠️ Search indexing needs Meilisearch auth fix
- ❓ Frontend UI not yet tested

## Git Commits:
1. **Initial setup commit**: chore: Local development environment setup
2. **Tesseract fix commit**: fix: Switch to local system tesseract command for OCR
3. **OCR completion commit**: fix: Complete OCR pipeline with language code mapping