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 8001
• Health Check: http://localhost:8001/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:

   pkill -9 meilisearch
   # OR
   echo "setup" | sudo -S fuser -k 7700/tcp
   

2. Remove all Meilisearch data:

   cd /home/setup/navidocs
   rm -rf data.ms meilisearch-data
   

3. Start Meilisearch with known key:

   /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:

   curl -H "Authorization: Bearer changeme123" http://127.0.0.1:7700/keys
   

5. Restart the OCR worker:

   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	8001	✅ Running	48254
OCR Worker	-	✅ Running	Active
Frontend	8080	⚠️ 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:8080
   • 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:

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:

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:

curl -X POST http://localhost:8001/api/upload \
  -F "file=@test-manual.pdf" \
  -F "title=My Boat Manual" \
  -F "documentType=owner-manual" \
  -F "organizationId=test-org-id"

Check Job Status:

curl http://localhost:8001/api/jobs/{jobId} | jq

Check Database:

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