# Google AI Services Integration

## Overview

This directory contains a comprehensive, production-ready integration framework for Google AI services including **Imagen4** (image generation), **Veo3** (video generation), and the **Multi-modal Streaming API**. The integration provides unified authentication, error handling, service orchestration, and configuration management.

## Architecture

```
src/services/google-services/
├── interfaces.ts              # Comprehensive TypeScript interfaces
├── auth-manager.ts           # Centralized authentication management
├── error-handler.ts          # Robust error handling with retry logic
├── orchestrator.ts           # Service coordination and load balancing
├── config-manager.ts         # Configuration management and validation
├── enhanced-imagen4-client.ts # Enhanced Imagen4 service client
├── enhanced-veo3-client.ts   # Enhanced Veo3 service client
├── enhanced-streaming-api-client.ts # Enhanced Streaming API client
├── factory.ts               # Main factory for creating all services
└── README.md               # This documentation
```

## Key Features

### 🔐 **Unified Authentication**
- Support for OAuth2, API key, and service account authentication
- Automatic token refresh and credential management
- Secure credential storage and rotation

### 🛡️ **Robust Error Handling**
- Circuit breaker pattern implementation
- Exponential backoff retry logic
- Error categorization and recovery mechanisms
- Streaming operation error handling

### ⚡ **Service Orchestration**
- Intelligent routing and load balancing
- Health monitoring and automatic failover
- Workflow execution and coordination
- Resource management and optimization

### ⚙️ **Configuration Management**
- Environment variable integration
- Configuration validation and sanitization
- Dynamic configuration updates
- Service-specific settings management

### 📊 **Performance Monitoring**
- Real-time metrics collection
- Performance benchmarking
- Resource utilization tracking
- Quality assessment and reporting

## Quick Start

### 1. Basic Setup

```typescript
import { createGoogleAIServices, createDefaultConfig } from './services/google-services/factory.js';

// Create services with default configuration
const googleAIServices = await createGoogleAIServices();

// Or with custom configuration
const config = createDefaultConfig();
config.global.environment = 'production';
const customServices = await createGoogleAIServicesWithConfig(config);
```

### 2. Image Generation with Imagen4

```typescript
const imagen4 = googleAIServices.imagen4;

// Generate a single image
const result = await imagen4.generateImage({
  prompt: "A beautiful sunset over mountains",
  quality: {
    preset: "high",
    resolution: { width: 1024, height: 1024 }
  },
  options: {
    priority: "normal",
    streaming: true
  }
});

if (result.success) {
  console.log("Generated image:", result.data);
}
```

### 3. Video Generation with Veo3

```typescript
const veo3 = googleAIServices.veo3;

// Generate a video
const result = await veo3.generateVideo({
  prompt: "A gentle stream flowing through a forest",
  duration: 10,
  frameRate: 30,
  resolution: { width: 1920, height: 1080 },
  format: {
    container: "mp4",
    codec: "h264",
    bitrate: 5000000
  },
  options: {
    realTime: true,
    priority: "high"
  }
});

if (result.success) {
  console.log("Generated video:", result.data);
}
```

### 4. Multi-modal Streaming

```typescript
const streamingApi = googleAIServices.streamingApi;

// Connect to streaming API
await streamingApi.connect({
  protocol: "websocket",
  bufferSize: 1024 * 1024,
  chunkSize: 64 * 1024,
  timeout: 30000
});

// Process multi-modal data
const streamGenerator = await streamingApi.stream({
  sessionId: "session_123",
  data: {
    text: "Process this content",
    audio: audioBuffer,
    video: videoBuffer
  }
});

for await (const chunk of streamGenerator) {
  console.log("Received chunk:", chunk);
}

// Disconnect
await streamingApi.disconnect();
```

## Configuration

### Environment Variables

Set the following environment variables:

```bash
# Google Cloud Configuration
GOOGLE_CLOUD_PROJECT_ID=your-project-id
GOOGLE_CLOUD_REGION=us-central1
GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json

# Service-specific API Keys
GOOGLE_AI_IMAGEN4_API_KEY=your-imagen4-api-key
GOOGLE_AI_VEO3_API_KEY=your-veo3-api-key
GOOGLE_AI_STREAMING_API_KEY=your-streaming-api-key

# Service Endpoints (optional)
GOOGLE_AI_IMAGEN4_ENDPOINT=https://us-central1-aiplatform.googleapis.com/v1
GOOGLE_AI_VEO3_ENDPOINT=https://us-central1-aiplatform.googleapis.com/v1
GOOGLE_AI_STREAMING_ENDPOINT=wss://us-central1-aiplatform.googleapis.com/v1

# Global Configuration
GOOGLE_AI_ENVIRONMENT=production
GOOGLE_AI_LOG_LEVEL=info
GOOGLE_AI_ENABLE_METRICS=true
GOOGLE_AI_ENABLE_TRACING=false
```

### Configuration File

Create a `google-ai-services.json` configuration file:

```json
{
  "imagen4": {
    "enabled": true,
    "config": {
      "serviceName": "imagen4",
      "enableStreaming": true,
      "enableBatchProcessing": true,
      "enableQualityOptimization": true,
      "enableSafetyFiltering": true
    }
  },
  "veo3": {
    "enabled": true,
    "config": {
      "serviceName": "veo3",
      "enableStreaming": true,
      "enableRealTimeRendering": true,
      "enableQualityOptimization": true,
      "enableBatchProcessing": true
    }
  },
  "streamingApi": {
    "enabled": true,
    "config": {
      "serviceName": "streaming-api",
      "enableRealTime": true,
      "enableMultiModal": true,
      "enableCompression": true,
      "enableQualityAdaptation": true
    }
  },
  "global": {
    "environment": "production",
    "logLevel": "info",
    "enableMetrics": true,
    "enableTracing": false
  }
}
```

## Advanced Usage

### Service Health Monitoring

```typescript
const factory = new GoogleAIServicesFactory();
const services = await factory.createServices(config);

// Get health report
const healthReport = await factory.getHealthReport();
console.log("System Health:", healthReport.overall);
console.log("Service Status:", healthReport.services);
```

### Batch Processing

```typescript
// Batch image generation
const imagen4Batch = await imagen4.generateBatch({
  requests: [
    { prompt: "Image 1", options: { priority: "high" } },
    { prompt: "Image 2", options: { priority: "normal" } },
    { prompt: "Image 3", options: { priority: "low" } }
  ],
  options: {
    parallel: true,
    timeout: 300000
  }
});

if (imagen4Batch.success) {
  console.log(`Processed ${imagen4Batch.data.summary.completed} images`);
  console.log(`Failed: ${imagen4Batch.data.summary.failed}`);
}
```

### Real-time Streaming

```typescript
// Real-time video generation with progress tracking
const realTimeResult = await veo3.generateRealTime({
  prompt: "Real-time video generation",
  duration: 30,
  options: {
    realTime: true,
    streaming: true
  }
});

if (realTimeResult.success) {
  // Listen to progress events
  veo3.on('realtime:progress', (event) => {
    console.log(`Progress: ${event.progress}%`);
  });

  veo3.on('realtime:completed', (event) => {
    console.log('Real-time generation completed:', event.response);
  });
}
```

### Custom Error Handling

```typescript
// Custom error handler
errorHandler.on('error:recovered', (event) => {
  console.log('Service recovered from error:', event);
});

// Service-specific error handling
orchestrator.on('service:health_changed', (event) => {
  console.log('Service health changed:', event.service, event.status);
});
```

## Service Capabilities

### Imagen4 Client
- ✅ **Image Generation**: High-quality image generation with style control
- ✅ **Style Transfer**: Advanced artistic and photographic style application
- ✅ **Batch Processing**: Process multiple images simultaneously
- ✅ **Streaming Generation**: Real-time image generation with progress updates
- ✅ **Quality Optimization**: Automatic quality enhancement and optimization
- ✅ **Safety Filtering**: Content safety and compliance checking

### Veo3 Client
- ✅ **Video Generation**: AI-powered video content creation
- ✅ **Real-time Rendering**: Live video generation with immediate feedback
- ✅ **Batch Processing**: Multiple video generation requests
- ✅ **Streaming Output**: Real-time video streaming capabilities
- ✅ **Quality Control**: Video quality assessment and optimization
- ✅ **Multi-format Support**: Support for various video formats and codecs

### Streaming API Client
- ✅ **Multi-modal Processing**: Text, audio, video, and image processing
- ✅ **Real-time Streaming**: Live data streaming and processing
- ✅ **Quality Adaptation**: Dynamic quality adjustment based on network conditions
- ✅ **Compression Support**: Efficient data compression for streaming
- ✅ **Connection Management**: Robust connection pooling and failover
- ✅ **Protocol Support**: WebSocket, Server-Sent Events, and gRPC support

## Error Handling

The system implements comprehensive error handling:

### Error Types
- **Authentication Errors**: Invalid credentials, expired tokens
- **Network Errors**: Connection failures, timeouts
- **Service Errors**: API failures, quota exceeded
- **Validation Errors**: Invalid parameters, malformed requests
- **Resource Errors**: Memory, CPU, or storage limitations

### Retry Logic
- **Exponential Backoff**: Intelligent retry with increasing delays
- **Circuit Breaker**: Automatic service isolation during outages
- **Failover**: Automatic routing to healthy service instances
- **Graceful Degradation**: Continued operation with reduced functionality

### Error Recovery
- **Automatic Recovery**: Self-healing capabilities
- **Manual Recovery**: Administrative intervention options
- **Monitoring**: Real-time error tracking and alerting
- **Logging**: Comprehensive error logging for debugging

## Performance Monitoring

### Metrics Collection
- **Latency Metrics**: Response times, processing delays
- **Throughput Metrics**: Requests per second, data transfer rates
- **Resource Metrics**: CPU, memory, GPU utilization
- **Quality Metrics**: Success rates, error rates, user satisfaction

### Monitoring Tools
- **Health Checks**: Automatic service health verification
- **Performance Benchmarks**: Comparative performance analysis
- **Resource Tracking**: Real-time resource consumption monitoring
- **Alerting**: Proactive issue detection and notification

## Security

### Authentication
- **OAuth2 Support**: Industry-standard authentication
- **API Key Management**: Secure key rotation and validation
- **Service Account**: Enterprise-grade authentication
- **Token Refresh**: Automatic credential renewal

### Data Protection
- **Encryption**: End-to-end data encryption
- **Access Control**: Role-based permissions
- **Audit Logging**: Comprehensive activity tracking
- **Compliance**: GDPR, HIPAA, and SOC2 compliance features

## Best Practices

### Development
1. **Always use the factory pattern** for service creation
2. **Implement proper error handling** for all operations
3. **Monitor service health** regularly
4. **Use configuration management** for environment-specific settings
5. **Implement logging** for debugging and monitoring

### Production
1. **Enable health monitoring** and alerting
2. **Configure appropriate timeouts** and retry policies
3. **Set up proper authentication** and credentials
4. **Monitor resource usage** and performance metrics
5. **Implement graceful degradation** strategies

### Security
1. **Use service accounts** for production environments
2. **Rotate API keys** regularly
3. **Enable encryption** for data in transit and at rest
4. **Implement access controls** and audit logging
5. **Follow security best practices** for credential management

## Troubleshooting

### Common Issues

#### Service Connection Issues
```typescript
// Check service health
const healthReport = await factory.getHealthReport();
if (healthReport.overall === 'unhealthy') {
  console.log('Services are unhealthy:', healthReport.services);
}

// Verify authentication
const authStatus = await authManager.validateCredentials();
if (!authStatus.success) {
  console.log('Authentication failed:', authStatus.error);
}
```

#### Performance Issues
```typescript
// Check metrics
const metrics = await imagen4.getMetrics();
console.log('Service metrics:', metrics.data);

// Monitor resource usage
const systemMetrics = await orchestrator.getSystemMetrics();
console.log('System metrics:', systemMetrics);
```

#### Error Handling
```typescript
// Enable detailed error logging
errorHandler.setLogLevel('debug');

// Monitor error patterns
errorHandler.on('error:recovered', (event) => {
  console.log('Error recovered:', event);
});
```

## API Reference

### Factory Methods
- `createGoogleAIServices()`: Creates services with default configuration
- `createGoogleAIServicesWithConfig(config)`: Creates services with custom configuration
- `getHealthReport()`: Gets system health status
- `getService<T>(serviceName)`: Gets a specific service client

### Service Methods
- `initialize()`: Initializes the service client
- `generateImage(request)`: Generates an image (Imagen4)
- `generateVideo(request)`: Generates a video (Veo3)
- `processMultiModalData(data)`: Processes multi-modal data (Streaming API)
- `getMetrics()`: Gets service performance metrics
- `updateConfiguration(updates)`: Updates service configuration

### Configuration Methods
- `loadConfiguration()`: Loads configuration from files and environment
- `validateConfiguration()`: Validates current configuration
- `exportConfiguration(filePath)`: Exports configuration to file
- `updateServiceConfiguration(service, updates)`: Updates service-specific settings

## Contributing

### Code Style
- Follow TypeScript best practices
- Use descriptive variable and function names
- Add comprehensive JSDoc documentation
- Implement proper error handling
- Write unit and integration tests

### Testing
```typescript
// Unit tests
describe('EnhancedImagen4Client', () => {
  it('should generate image successfully', async () => {
    const result = await imagen4.generateImage(testRequest);
    expect(result.success).toBe(true);
  });
});

// Integration tests
describe('GoogleAIServicesFactory', () => {
  it('should create all services successfully', async () => {
    const services = await factory.createServices(config);
    expect(services.imagen4).toBeDefined();
    expect(services.veo3).toBeDefined();
    expect(services.streamingApi).toBeDefined();
  });
});
```

## Support

For issues, questions, or contributions:

1. Check the troubleshooting guide above
2. Review the API documentation
3. Consult the configuration examples
4. Check existing issues on GitHub
5. Create a new issue with detailed information

## License

This Google AI Services integration framework is provided under the MIT License. See the main project LICENSE file for details.

---

**Note**: This integration framework requires valid Google Cloud credentials and API access. Ensure you have the necessary permissions and quotas for the Google AI services you plan to use.