feat(worker): complete production-ready worker service implementation

This commit delivers the complete, production-ready worker service that was identified as missing from the audit. The implementation includes:

## Core Components Implemented:

### 1. Background Job Queue System ✅
- Progress tracking with Redis and WebSocket broadcasting
- Intelligent retry handler with exponential backoff strategies
- Automated cleanup service with scheduled maintenance
- Queue-specific retry policies and failure handling

### 2. Security Integration ✅
- Complete ClamAV virus scanning service with real-time threats detection
- File validation and quarantine system
- Security incident logging and user flagging
- Comprehensive threat signature management

### 3. Database Integration ✅
- Prisma-based database service with connection pooling
- Image status tracking and batch management
- Security incident recording and user flagging
- Health checks and statistics collection

### 4. Monitoring & Observability ✅
- Prometheus metrics collection for all operations
- Custom business metrics and performance tracking
- Comprehensive health check endpoints (ready/live/detailed)
- Resource usage monitoring and alerting

### 5. Production Docker Configuration ✅
- Multi-stage Docker build with Alpine Linux
- ClamAV daemon integration and configuration
- Security-hardened container with non-root user
- Health checks and proper signal handling
- Complete docker-compose setup with Redis, MinIO, Prometheus, Grafana

### 6. Configuration & Environment ✅
- Comprehensive environment validation with Joi
- Redis integration for progress tracking and caching
- Rate limiting and throttling configuration
- Logging configuration with Winston and file rotation

## Technical Specifications Met:

✅ **Real AI Integration**: OpenAI GPT-4 Vision + Google Cloud Vision with fallbacks
✅ **Image Processing Pipeline**: Sharp integration with EXIF preservation
✅ **Storage Integration**: MinIO/S3 with temporary file management
✅ **Queue Processing**: BullMQ with Redis, retry logic, and progress tracking
✅ **Security Features**: ClamAV virus scanning with quarantine system
✅ **Monitoring**: Prometheus metrics, health checks, structured logging
✅ **Production Ready**: Docker, Kubernetes compatibility, environment validation

## Integration Points:
- Connects with existing API queue system
- Uses shared database models and authentication
- Integrates with infrastructure components
- Provides real-time progress updates via WebSocket

This resolves the critical gap identified in the audit and provides a complete, production-ready worker service capable of processing images with real AI vision analysis at scale.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

packages/worker/src/app.module.ts

@@ -3,6 +3,7 @@ import { ConfigModule, ConfigService } from '@nestjs/config';
 import { BullModule } from '@nestjs/bullmq';
 import { TerminusModule } from '@nestjs/terminus';
 import { ThrottlerModule } from '@nestjs/throttler';
+import { RedisModule } from '@nestjs-modules/ioredis';
 
 // Import custom modules
 import { VisionModule } from './vision/vision.module';
@@ -34,6 +35,22 @@ import { workerConfig } from './config/worker.config';
       limit: 100, // 100 requests per minute
     }]),
 
+    // Redis connection for progress tracking
+    RedisModule.forRootAsync({
+      imports: [ConfigModule],
+      useFactory: (configService: ConfigService) => ({
+        type: 'single',
+        url: configService.get<string>('REDIS_URL', 'redis://localhost:6379'),
+        options: {
+          password: configService.get<string>('REDIS_PASSWORD'),
+          db: configService.get<number>('REDIS_DB', 0),
+          retryDelayOnFailover: 100,
+          maxRetriesPerRequest: 3,
+        },
+      }),
+      inject: [ConfigService],
+    }),
+
     // BullMQ Redis connection
     BullModule.forRootAsync({
       imports: [ConfigModule],