# VIMS - Build Status

## ✅ Completed Components

### Backend API (Port 3450)
- [x] Express.js server with security middleware
- [x] Health checks (/health, /health/ready, /health/live)
- [x] Object management API (CRUD + baseline images)
- [x] Observation API (upload, process, compare)
- [x] Detection API (list, verify)
- [x] Alert API (list, update status, escalate)
- [x] Dashboard API (overview, map objects, timeline, top alerts)

### AI Services
- [x] Object Detection Service (YOLO-based, ONNX Runtime)
- [x] Change Detection Service (pixel, structural, hash comparison)
- [x] Risk Classification Service (Green/Yellow/Orange/Red)
- [x] Component definitions for ATM, charging station, parking meter, defibrillator

### Database Models (PostgreSQL + Sequelize)
- [x] ObjectType (ATM, charging_station, parking_meter, defibrillator)
- [x] MonitoredObject (with location, baseline images, status)
- [x] Observation (image upload, quality metadata)
- [x] Detection (AI findings with bounding boxes)
- [x] Alert (risk-based alerting system)
- [x] Customer (multi-tenant support)
- [x] ModelVersion (AI model tracking)

### Background Workers
- [x] Queue-based processing (Bull + Redis)
- [x] Observation processing pipeline
- [x] Notification service (email, SMS, webhook, push)

### Integrations
- [x] Landvex API integration
- [x] quiXzoom API integration
- [x] Webhook support

### Infrastructure
- [x] Docker + Docker Compose setup
- [x] PostgreSQL database
- [x] Redis cache/queue
- [x] MinIO object storage
- [x] Environment configuration

### Testing
- [x] 31 tests passing
- [x] Object Detection tests
- [x] Risk Classifier tests (97.72% coverage)
- [x] Integration tests

### Documentation
- [x] API documentation (docs/API.md)
- [x] Deployment guide (docs/DEPLOYMENT.md)
- [x] README with quick start
- [x] Environment example

### Landvex Website
- [x] VIMS product page (/infrastructure-monitoring)
- [x] Feature overview
- [x] Risk level visualization
- [x] Use cases

## 📊 Test Results

```
Test Suites: 3 passed, 3 total
Tests:       31 passed, 31 total
Coverage:
  - Risk Classifier: 97.72% statements
  - Object Detection: 67.39% statements
  - Overall: 79.12% lines
```

## 🚀 Quick Start

```bash
cd vims-backend

# Install dependencies
npm install

# Start infrastructure
docker-compose up -d postgres redis minio

# Run tests
npm test

# Start server
npm run dev

# Start worker
npm run worker
```

## 📁 Project Structure

```
vims-backend/
├── src/
│   ├── index.js              # Main application
│   ├── models/               # Database models
│   ├── api/                  # REST API routes
│   ├── services/             # AI services
│   ├── workers/              # Background workers
│   ├── integrations/         # External integrations
│   ├── utils/                # Utilities
│   └── middleware/           # Express middleware
├── tests/                    # Test suite
├── docs/                     # Documentation
├── demo/                     # Demo script
├── scripts/                  # Setup scripts
├── Dockerfile
├── docker-compose.yml
└── package.json
```

## 🔄 Next Steps for Production

1. **AI Model Training**
   - Collect training images for each object type
   - Train YOLO models for object detection
   - Export to ONNX format

2. **Image Storage**
   - Configure S3/MinIO credentials
   - Implement image upload/download

3. **Authentication**
   - Implement JWT authentication
   - Add role-based access control

4. **Monitoring**
   - Add Prometheus metrics
   - Setup Grafana dashboards
   - Configure alerting

5. **Scaling**
   - Deploy to Kubernetes
   - Add horizontal pod autoscaling
   - Setup load balancing

## 📝 API Endpoints

| Endpoint | Method | Description |
|----------|--------|-------------|
| /health | GET | Health check |
| /api/v1/objects | GET/POST | List/Create objects |
| /api/v1/objects/:id | GET/PUT/DELETE | Object management |
| /api/v1/objects/:id/baseline | POST | Set baseline images |
| /api/v1/observations | POST | Upload observations |
| /api/v1/observations/:id | GET | Get observation |
| /api/v1/observations/:id/process | POST | Reprocess |
| /api/v1/detections | GET | List detections |
| /api/v1/alerts | GET | List alerts |
| /api/v1/alerts/:id/status | PUT | Update alert |
| /api/v1/dashboard/overview | GET | Dashboard stats |
| /api/v1/dashboard/objects | GET | Map objects |
| /api/v1/dashboard/timeline | GET | Activity timeline |

## 🎯 Key Features Implemented

1. **Visual Anomaly Detection**
   - Baseline per object (not generic model)
   - Change detection with multiple algorithms
   - Component-level detection

2. **Risk Classification**
   - Green/Yellow/Orange/Red levels
   - Confidence-based escalation
   - Customizable rules per object type

3. **Continuous Monitoring**
   - Queue-based processing
   - Real-time alerts
   - Historical tracking

4. **Integration Ready**
   - Landvex API
   - quiXzoom missions
   - Webhook notifications

## 📞 Support

- Documentation: docs/API.md
- Deployment: docs/DEPLOYMENT.md
- Tests: npm test