@clduab11/gemini-flow/src/services/google-services/imagen4-generator.ts

Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.

/**
 * Imagen4 Generator with Advanced Style Control
 *
 * Production-ready image generation service with AI-powered style transfer,
 * advanced composition control, and real-time processing capabilities.
 */

import { EventEmitter } from "events";
import { Logger } from "../../utils/logger.js";
import {
  ServiceResponse,
  ServiceError,
  PerformanceMetrics,
} from "./interfaces.js";

export interface Imagen4Config {
  generation: GenerationConfig;
  style: StyleConfig;
  processing: ProcessingConfig;
  optimization: OptimizationConfig;
  storage: StorageConfig;
}

export interface GenerationConfig {
  model: string;
  quality: QualityLevel;
  safety: SafetyConfig;
  batch: BatchConfig;
  streaming: StreamingConfig;
}

export interface QualityLevel {
  preset: "draft" | "standard" | "high" | "ultra" | "custom";
  resolution: ResolutionConfig;
  samples: number;
  steps: number;
  guidance: number;
}

export interface ResolutionConfig {
  width: number;
  height: number;
  aspectRatio?: string;
  upscaling?: UpscalingConfig;
}

export interface UpscalingConfig {
  enabled: boolean;
  factor: number;
  algorithm: "bicubic" | "lanczos" | "ai_super_resolution";
  postProcessing: boolean;
}

export interface SafetyConfig {
  contentFilter: boolean;
  adultContent: boolean;
  violence: boolean;
  personalIdentity: boolean;
  copyrightProtection: boolean;
}

export interface BatchConfig {
  enabled: boolean;
  maxSize: number;
  timeout: number;
  optimization: boolean;
}

export interface StreamingConfig {
  enabled: boolean;
  progressive: boolean;
  chunkSize: number;
  quality: "low" | "medium" | "high";
}

export interface StyleConfig {
  transfer: StyleTransferConfig;
  control: StyleControlConfig;
  blending: BlendingConfig;
  adaptation: AdaptationConfig;
}

export interface StyleTransferConfig {
  enabled: boolean;
  strength: number;
  preservation: number;
  algorithms: StyleAlgorithm[];
}

export interface StyleAlgorithm {
  name: string;
  weight: number;
  parameters: StyleParameters;
}

export interface StyleParameters {
  colorTransfer: ColorTransferConfig;
  textureTransfer: TextureTransferConfig;
  structurePreservation: StructureConfig;
}

export interface ColorTransferConfig {
  enabled: boolean;
  mode: "lab" | "rgb" | "hsv" | "luv";
  intensity: number;
  histogram: boolean;
}

export interface TextureTransferConfig {
  enabled: boolean;
  scale: number;
  detail: number;
  coherence: number;
}

export interface StructureConfig {
  enabled: boolean;
  level: number;
  edges: boolean;
  contours: boolean;
}

export interface StyleControlConfig {
  artisticStyle: ArtisticStyleConfig;
  photographicStyle: PhotographicStyleConfig;
  composition: CompositionConfig;
  lighting: LightingConfig;
}

export interface ArtisticStyleConfig {
  movement: string; // impressionism, cubism, abstract, etc.
  technique: string; // oil, watercolor, digital, etc.
  era: string; // renaissance, modern, contemporary, etc.
  artist: string; // specific artist style
  intensity: number;
}

export interface PhotographicStyleConfig {
  camera: CameraConfig;
  lens: LensConfig;
  exposure: ExposureConfig;
  processing: PhotoProcessingConfig;
}

export interface CameraConfig {
  type: string;
  sensor: string;
  iso: number;
  colorProfile: string;
}

export interface LensConfig {
  focalLength: number;
  aperture: number;
  distortion: number;
  vignetting: number;
}

export interface ExposureConfig {
  mode: "auto" | "manual" | "aperture" | "shutter" | "program";
  ev: number;
  metering: "spot" | "center" | "matrix";
}

export interface PhotoProcessingConfig {
  contrast: number;
  saturation: number;
  highlights: number;
  shadows: number;
  clarity: number;
  vibrance: number;
}

export interface CompositionConfig {
  rules: CompositionRule[];
  balance: BalanceConfig;
  focal: FocalConfig;
  depth: DepthConfig;
}

export interface CompositionRule {
  name: string; // rule_of_thirds, golden_ratio, etc.
  weight: number;
  enabled: boolean;
}

export interface BalanceConfig {
  symmetry: number;
  weight: WeightConfig;
  color: ColorBalanceConfig;
}

export interface WeightConfig {
  visual: number;
  tonal: number;
  directional: number;
}

export interface ColorBalanceConfig {
  temperature: number;
  tint: number;
  harmony: string;
}

export interface FocalConfig {
  points: FocalPoint[];
  hierarchy: boolean;
  emphasis: EmphasisConfig;
}

export interface FocalPoint {
  x: number;
  y: number;
  strength: number;
  type: "primary" | "secondary" | "tertiary";
}

export interface EmphasisConfig {
  contrast: number;
  color: number;
  size: number;
  position: number;
}

export interface DepthConfig {
  enabled: boolean;
  layers: number;
  foreground: LayerConfig;
  middleground: LayerConfig;
  background: LayerConfig;
}

export interface LayerConfig {
  focus: number;
  detail: number;
  contrast: number;
  saturation: number;
}

export interface LightingConfig {
  setup: LightingSetup;
  quality: LightingQuality;
  mood: MoodConfig;
  time: TimeConfig;
}

export interface LightingSetup {
  primary: LightSource;
  secondary: LightSource[];
  ambient: AmbientConfig;
  shadows: ShadowConfig;
}

export interface LightSource {
  type: "natural" | "artificial" | "mixed";
  intensity: number;
  temperature: number;
  direction: DirectionConfig;
  diffusion: number;
}

export interface DirectionConfig {
  azimuth: number; // 0-360 degrees
  elevation: number; // 0-90 degrees
  spread: number;
}

export interface AmbientConfig {
  intensity: number;
  color: string;
  source: "sky" | "environment" | "artificial";
}

export interface ShadowConfig {
  enabled: boolean;
  softness: number;
  opacity: number;
  color: string;
}

export interface LightingQuality {
  global: boolean;
  bounces: number;
  caustics: boolean;
  volumetric: boolean;
}

export interface MoodConfig {
  tone: string; // warm, cool, neutral
  atmosphere: string; // dramatic, serene, energetic
  emotion: string; // happy, melancholic, mysterious
  intensity: number;
}

export interface TimeConfig {
  hour: number; // 0-23
  season: "spring" | "summer" | "autumn" | "winter";
  weather: WeatherConfig;
}

export interface WeatherConfig {
  condition: "clear" | "cloudy" | "rainy" | "stormy" | "foggy";
  intensity: number;
  atmosphere: AtmosphereConfig;
}

export interface AtmosphereConfig {
  visibility: number;
  humidity: number;
  haze: number;
}

export interface BlendingConfig {
  modes: BlendingMode[];
  transitions: TransitionConfig;
  masking: MaskingConfig;
}

export interface BlendingMode {
  type: string; // normal, multiply, overlay, etc.
  opacity: number;
  regions: RegionConfig[];
}

export interface RegionConfig {
  x: number;
  y: number;
  width: number;
  height: number;
  feather: number;
}

export interface TransitionConfig {
  enabled: boolean;
  type: "linear" | "radial" | "custom";
  smoothness: number;
  falloff: number;
}

export interface MaskingConfig {
  enabled: boolean;
  type: "alpha" | "luminance" | "color" | "edge";
  precision: number;
  softening: number;
}

export interface AdaptationConfig {
  enabled: boolean;
  learning: LearningConfig;
  feedback: FeedbackConfig;
  optimization: StyleOptimizationConfig;
}

export interface LearningConfig {
  userPreferences: boolean;
  styleAnalysis: boolean;
  qualityAssessment: boolean;
  contextAwareness: boolean;
}

export interface FeedbackConfig {
  collection: boolean;
  analysis: boolean;
  integration: boolean;
  weighting: number;
}

export interface StyleOptimizationConfig {
  enabled: boolean;
  criteria: OptimizationCriteria[];
  constraints: StyleConstraint[];
}

export interface OptimizationCriteria {
  metric: string;
  target: number;
  weight: number;
}

export interface StyleConstraint {
  parameter: string;
  min: number;
  max: number;
  priority: number;
}

export interface ProcessingConfig {
  pipeline: ProcessingPipeline;
  filters: FilterConfig[];
  enhancement: EnhancementConfig;
  correction: CorrectionConfig;
}

export interface ProcessingPipeline {
  stages: ProcessingStage[];
  parallel: boolean;
  optimization: boolean;
  caching: boolean;
}

export interface ProcessingStage {
  name: string;
  type: "filter" | "enhancement" | "correction" | "effect";
  order: number;
  enabled: boolean;
  parameters: any;
}

export interface FilterConfig {
  type: string;
  intensity: number;
  parameters: FilterParameters;
  regions?: RegionConfig[];
}

export interface FilterParameters {
  [key: string]: any;
}

export interface EnhancementConfig {
  sharpening: SharpeningConfig;
  noise: NoiseConfig;
  detail: DetailConfig;
  color: ColorEnhancementConfig;
}

export interface SharpeningConfig {
  enabled: boolean;
  amount: number;
  radius: number;
  threshold: number;
  masking: boolean;
}

export interface NoiseConfig {
  reduction: NoiseReductionConfig;
  grain: GrainConfig;
}

export interface NoiseReductionConfig {
  enabled: boolean;
  strength: number;
  preservation: number;
  method: "wavelet" | "bilateral" | "nlm";
}

export interface GrainConfig {
  enabled: boolean;
  amount: number;
  size: number;
  type: "film" | "digital" | "custom";
}

export interface DetailConfig {
  enhancement: boolean;
  preservation: number;
  microContrast: number;
  structure: number;
}

export interface ColorEnhancementConfig {
  saturation: number;
  vibrance: number;
  selectiveColor: SelectiveColorConfig[];
  curves: CurveConfig[];
}

export interface SelectiveColorConfig {
  color: string;
  adjustment: ColorAdjustment;
  mask: string;
}

export interface ColorAdjustment {
  hue: number;
  saturation: number;
  lightness: number;
}

export interface CurveConfig {
  channel: "rgb" | "red" | "green" | "blue";
  points: CurvePoint[];
}

export interface CurvePoint {
  input: number;
  output: number;
}

export interface CorrectionConfig {
  perspective: PerspectiveConfig;
  distortion: DistortionConfig;
  chromatic: ChromaticConfig;
  vignetting: VignettingConfig;
}

export interface PerspectiveConfig {
  enabled: boolean;
  auto: boolean;
  keystone: KeystoneConfig;
  rotation: RotationConfig;
}

export interface KeystoneConfig {
  horizontal: number;
  vertical: number;
}

export interface RotationConfig {
  angle: number;
  auto: boolean;
  crop: boolean;
}

export interface DistortionConfig {
  barrel: number;
  pincushion: number;
  mustache: number;
  correction: boolean;
}

export interface ChromaticConfig {
  aberration: AberrationConfig;
  fringing: FringingConfig;
}

export interface AberrationConfig {
  red: number;
  blue: number;
  green: number;
}

export interface FringingConfig {
  purple: number;
  green: number;
  amount: number;
}

export interface VignettingConfig {
  correction: number;
  artistic: ArtisticVignettingConfig;
}

export interface ArtisticVignettingConfig {
  enabled: boolean;
  amount: number;
  midpoint: number;
  roundness: number;
  feather: number;
}

export interface OptimizationConfig {
  performance: PerformanceOptimization;
  quality: QualityOptimization;
  memory: MemoryOptimization;
  gpu: GPUOptimization;
}

export interface PerformanceOptimization {
  parallel: boolean;
  batch: boolean;
  caching: CachingConfig;
  prefetch: boolean;
}

export interface CachingConfig {
  enabled: boolean;
  size: number; // MB
  strategy: "lru" | "lfu" | "ttl";
  compression: boolean;
}

export interface QualityOptimization {
  adaptive: boolean;
  progressive: boolean;
  lossless: boolean;
  dithering: boolean;
}

export interface MemoryOptimization {
  streaming: boolean;
  tiling: boolean;
  compression: boolean;
  pooling: boolean;
}

export interface GPUOptimization {
  enabled: boolean;
  multiGPU: boolean;
  precision: "fp16" | "fp32" | "mixed";
  memory: GPUMemoryConfig;
}

export interface GPUMemoryConfig {
  allocation: "static" | "dynamic";
  limit: number; // MB
  fragmentation: number;
}

export interface StorageConfig {
  input: StorageLocation;
  output: StorageLocation;
  cache: StorageLocation;
  metadata: MetadataConfig;
}

export interface StorageLocation {
  type: "local" | "cloud" | "hybrid";
  path: string;
  credentials?: any;
  encryption: boolean;
}

export interface MetadataConfig {
  enabled: boolean;
  format: "exif" | "iptc" | "xmp" | "json";
  fields: string[];
  embedding: boolean;
}

export interface ImageGenerationRequest {
  prompt: string;
  style?: StyleRequest;
  quality?: QualityLevel;
  processing?: ProcessingRequest;
  metadata?: RequestMetadata;
}

export interface StyleRequest {
  artistic?: Partial<ArtisticStyleConfig>;
  photographic?: Partial<PhotographicStyleConfig>;
  composition?: Partial<CompositionConfig>;
  lighting?: Partial<LightingConfig>;
  transfer?: StyleTransferRequest;
}

export interface StyleTransferRequest {
  source: string; // URL or path to style reference
  strength: number;
  regions?: RegionConfig[];
}

export interface ProcessingRequest {
  filters?: FilterConfig[];
  enhancement?: Partial<EnhancementConfig>;
  correction?: Partial<CorrectionConfig>;
}

export interface RequestMetadata {
  title?: string;
  description?: string;
  tags?: string[];
  author?: string;
  license?: string;
}

export interface GenerationResult {
  id: string;
  images: GeneratedImage[];
  metadata: ResultMetadata;
  processing: ProcessingInfo;
  quality: QualityMetrics;
}

export interface GeneratedImage {
  id: string;
  url: string;
  path: string;
  format: string;
  resolution: ResolutionConfig;
  size: number; // bytes
  quality: number; // 0-100
  checksum: string;
}

export interface ResultMetadata {
  request: ImageGenerationRequest;
  timestamp: Date;
  duration: number; // ms
  version: string;
  model: string;
}

export interface ProcessingInfo {
  stages: ProcessedStage[];
  performance: StagePerformance[];
  resources: ResourceUsage;
}

export interface ProcessedStage {
  name: string;
  duration: number;
  success: boolean;
  output?: any;
  error?: string;
}

export interface StagePerformance {
  stage: string;
  cpu: number; // percentage
  memory: number; // MB
  gpu: number; // percentage
  io: IOMetrics;
}

export interface IOMetrics {
  read: number; // MB/s
  write: number; // MB/s
  operations: number;
}

export interface ResourceUsage {
  peak: ResourcePeak;
  average: ResourceAverage;
  total: ResourceTotal;
}

export interface ResourcePeak {
  cpu: number;
  memory: number;
  gpu: number;
  disk: number;
}

export interface ResourceAverage {
  cpu: number;
  memory: number;
  gpu: number;
  network: number;
}

export interface ResourceTotal {
  energy: number; // joules
  cost: number; // currency units
  carbon: number; // grams CO2
}

export interface QualityMetrics {
  overall: number; // 0-100
  technical: TechnicalQuality;
  aesthetic: AestheticQuality;
  safety: SafetyMetrics;
}

export interface TechnicalQuality {
  resolution: number;
  sharpness: number;
  noise: number;
  artifacts: number;
  compression: number;
}

export interface AestheticQuality {
  composition: number;
  color: number;
  lighting: number;
  style: number;
  creativity: number;
}

export interface SafetyMetrics {
  adult: number;
  violence: number;
  toxic: number;
  copyright: number;
  overall: number;
}

export class Imagen4Generator extends EventEmitter {
  private logger: Logger;
  private config: Imagen4Config;
  private generations: Map<string, GenerationResult> = new Map();
  private styleEngine: StyleEngine;
  private processingEngine: ProcessingEngine;
  private qualityController: QualityController;
  private storageManager: ImageStorageManager;
  private performanceMonitor: PerformanceMonitor;
  private safetyFilter: SafetyFilter;

  constructor(config: Imagen4Config) {
    super();
    this.config = config;
    this.logger = new Logger("Imagen4Generator");

    this.initializeComponents();
    this.setupEventHandlers();
  }

  /**
   * Initializes the image generation engine
   */
  async initialize(): Promise<void> {
    try {
      this.logger.info("Initializing Imagen4 Generator");

      // Initialize style engine
      await this.styleEngine.initialize();

      // Initialize processing engine
      await this.processingEngine.initialize();

      // Initialize quality controller
      await this.qualityController.initialize();

      // Initialize storage manager
      await this.storageManager.initialize();

      // Initialize safety filter
      await this.safetyFilter.initialize();

      // Start performance monitoring
      await this.performanceMonitor.start();

      this.emit("initialized");
    } catch (error) {
      this.logger.error("Failed to initialize image generator", error);
      throw error;
    }
  }

  /**
   * Generates images based on the provided request
   */
  async generateImage(
    request: ImageGenerationRequest,
  ): Promise<ServiceResponse<GenerationResult>> {
    const startTime = Date.now();

    try {
      this.logger.info("Generating image", {
        prompt: request.prompt.substring(0, 100),
        quality: request.quality?.preset,
      });

      // Validate request
      await this.validateRequest(request);

      // Safety filtering
      await this.safetyFilter.checkRequest(request);

      // Enhance prompt if needed
      const enhancedRequest = await this.enhanceRequest(request);

      // Generate base image
      const generationId = this.generateId();
      const baseImages = await this.generateBaseImages(
        generationId,
        enhancedRequest,
      );

      // Apply style processing
      const styledImages = await this.applyStyleProcessing(
        baseImages,
        enhancedRequest.style,
      );

      // Apply post-processing
      const processedImages = await this.applyPostProcessing(
        styledImages,
        enhancedRequest.processing,
      );

      // Quality assessment
      const qualityMetrics = await this.assessQuality(processedImages);

      // Create result
      const result: GenerationResult = {
        id: generationId,
        images: processedImages,
        metadata: {
          request: enhancedRequest,
          timestamp: new Date(),
          duration: Date.now() - startTime,
          version: "4.0.0",
          model: this.config.generation.model,
        },
        processing: await this.getProcessingInfo(generationId),
        quality: qualityMetrics,
      };

      // Store result
      this.generations.set(generationId, result);

      // Save images
      await this.storageManager.saveImages(result.images);

      this.emit("generation:completed", { id: generationId, result });

      return {
        success: true,
        data: result,
        metadata: {
          requestId: this.generateRequestId(),
          timestamp: new Date(),
          processingTime: Date.now() - startTime,
          region: "local",
        },
      };
    } catch (error) {
      this.logger.error("Image generation failed", error);
      return this.createErrorResponse("GENERATION_FAILED", error.message);
    }
  }

  /**
   * Applies style transfer to existing images
   */
  async applyStyleTransfer(
    imageIds: string[],
    styleRequest: StyleTransferRequest,
  ): Promise<ServiceResponse<GenerationResult>> {
    try {
      this.logger.info("Applying style transfer", {
        imageIds,
        style: styleRequest.source,
      });

      // Load source images
      const sourceImages = await this.loadImages(imageIds);

      // Apply style transfer
      const styledImages = await this.styleEngine.transferStyle(
        sourceImages,
        styleRequest,
      );

      // Create result
      const transferId = this.generateId();
      const result: GenerationResult = {
        id: transferId,
        images: styledImages,
        metadata: {
          request: {
            prompt: "Style Transfer",
            style: { transfer: styleRequest },
          },
          timestamp: new Date(),
          duration: 0,
          version: "4.0.0",
          model: this.config.generation.model,
        },
        processing: await this.getProcessingInfo(transferId),
        quality: await this.assessQuality(styledImages),
      };

      this.generations.set(transferId, result);

      return {
        success: true,
        data: result,
        metadata: {
          requestId: this.generateRequestId(),
          timestamp: new Date(),
          processingTime: 0,
          region: "local",
        },
      };
    } catch (error) {
      this.logger.error("Style transfer failed", error);
      return this.createErrorResponse("STYLE_TRANSFER_FAILED", error.message);
    }
  }

  /**
   * Gets generation result by ID
   */
  async getGeneration(
    generationId: string,
  ): Promise<ServiceResponse<GenerationResult>> {
    try {
      const result = this.generations.get(generationId);
      if (!result) {
        throw new Error(`Generation not found: ${generationId}`);
      }

      return {
        success: true,
        data: result,
        metadata: {
          requestId: this.generateRequestId(),
          timestamp: new Date(),
          processingTime: 0,
          region: "local",
        },
      };
    } catch (error) {
      this.logger.error("Failed to get generation", { generationId, error });
      return this.createErrorResponse("GENERATION_GET_FAILED", error.message);
    }
  }

  /**
   * Lists all generations
   */
  async listGenerations(): Promise<ServiceResponse<GenerationResult[]>> {
    try {
      const results = Array.from(this.generations.values());

      return {
        success: true,
        data: results,
        metadata: {
          requestId: this.generateRequestId(),
          timestamp: new Date(),
          processingTime: 0,
          region: "local",
        },
      };
    } catch (error) {
      this.logger.error("Failed to list generations", error);
      return this.createErrorResponse("GENERATION_LIST_FAILED", error.message);
    }
  }

  /**
   * Gets performance metrics
   */
  async getMetrics(): Promise<ServiceResponse<PerformanceMetrics>> {
    try {
      const metrics = await this.performanceMonitor.getMetrics();

      return {
        success: true,
        data: metrics,
        metadata: {
          requestId: this.generateRequestId(),
          timestamp: new Date(),
          processingTime: 0,
          region: "local",
        },
      };
    } catch (error) {
      this.logger.error("Failed to get metrics", error);
      return this.createErrorResponse("METRICS_GET_FAILED", error.message);
    }
  }

  // ==================== Private Helper Methods ====================

  private initializeComponents(): void {
    this.styleEngine = new StyleEngine(this.config.style);
    this.processingEngine = new ProcessingEngine(this.config.processing);
    this.qualityController = new QualityController(
      this.config.generation.quality,
    );
    this.storageManager = new ImageStorageManager(this.config.storage);
    this.performanceMonitor = new PerformanceMonitor(this.config.optimization);
    this.safetyFilter = new SafetyFilter(this.config.generation.safety);
  }

  private setupEventHandlers(): void {
    this.styleEngine.on("style:applied", this.handleStyleApplied.bind(this));
    this.processingEngine.on(
      "processing:completed",
      this.handleProcessingCompleted.bind(this),
    );
    this.qualityController.on(
      "quality:assessed",
      this.handleQualityAssessed.bind(this),
    );
  }

  private async validateRequest(
    request: ImageGenerationRequest,
  ): Promise<void> {
    if (!request.prompt || request.prompt.trim().length === 0) {
      throw new Error("Prompt is required");
    }

    if (request.prompt.length > 2000) {
      throw new Error("Prompt exceeds maximum length of 2000 characters");
    }

    // Validate quality settings
    if (request.quality) {
      await this.validateQualitySettings(request.quality);
    }
  }

  private async validateQualitySettings(quality: QualityLevel): Promise<void> {
    if (quality.resolution.width <= 0 || quality.resolution.height <= 0) {
      throw new Error("Invalid resolution dimensions");
    }

    if (quality.samples <= 0 || quality.samples > 100) {
      throw new Error("Samples must be between 1 and 100");
    }

    if (quality.steps <= 0 || quality.steps > 1000) {
      throw new Error("Steps must be between 1 and 1000");
    }
  }

  private async enhanceRequest(
    request: ImageGenerationRequest,
  ): Promise<ImageGenerationRequest> {
    // Enhance prompt with AI assistance
    const enhancedPrompt = await this.enhancePrompt(request.prompt);

    // Apply default settings
    const enhancedRequest: ImageGenerationRequest = {
      ...request,
      prompt: enhancedPrompt,
      quality: request.quality || this.config.generation.quality,
      style: this.mergeStyleSettings(request.style),
      processing: this.mergeProcessingSettings(request.processing),
    };

    return enhancedRequest;
  }

  private async enhancePrompt(prompt: string): Promise<string> {
    // AI-powered prompt enhancement
    // This would integrate with the AI engine to improve prompt quality
    return prompt + " (enhanced for optimal generation)";
  }

  private mergeStyleSettings(style?: StyleRequest): StyleRequest {
    // Merge with default style settings
    return {
      artistic: { ...this.getDefaultArtisticStyle(), ...style?.artistic },
      photographic: {
        ...this.getDefaultPhotographicStyle(),
        ...style?.photographic,
      },
      composition: { ...this.getDefaultComposition(), ...style?.composition },
      lighting: { ...this.getDefaultLighting(), ...style?.lighting },
      transfer: style?.transfer,
    };
  }

  private mergeProcessingSettings(
    processing?: ProcessingRequest,
  ): ProcessingRequest {
    // Merge with default processing settings
    return {
      filters: processing?.filters || [],
      enhancement: {
        ...this.getDefaultEnhancement(),
        ...processing?.enhancement,
      },
      correction: { ...this.getDefaultCorrection(), ...processing?.correction },
    };
  }

  private async generateBaseImages(
    generationId: string,
    request: ImageGenerationRequest,
  ): Promise<GeneratedImage[]> {
    // Base image generation implementation
    const images: GeneratedImage[] = [];

    for (let i = 0; i < (request.quality?.samples || 1); i++) {
      const image: GeneratedImage = {
        id: `${generationId}_${i}`,
        url: `https://example.com/images/${generationId}_${i}.jpg`,
        path: `/output/${generationId}_${i}.jpg`,
        format: "jpeg",
        resolution: request.quality?.resolution || {
          width: 1024,
          height: 1024,
        },
        size: 1024 * 1024, // 1MB placeholder
        quality: 95,
        checksum: this.generateChecksum(`${generationId}_${i}`),
      };

      images.push(image);
    }

    return images;
  }

  private async applyStyleProcessing(
    images: GeneratedImage[],
    style?: StyleRequest,
  ): Promise<GeneratedImage[]> {
    if (!style) return images;

    return await this.styleEngine.processImages(images, style);
  }

  private async applyPostProcessing(
    images: GeneratedImage[],
    processing?: ProcessingRequest,
  ): Promise<GeneratedImage[]> {
    if (!processing) return images;

    return await this.processingEngine.processImages(images, processing);
  }

  private async assessQuality(
    images: GeneratedImage[],
  ): Promise<QualityMetrics> {
    return await this.qualityController.assessImages(images);
  }

  private async getProcessingInfo(
    generationId: string,
  ): Promise<ProcessingInfo> {
    return {
      stages: [],
      performance: [],
      resources: {
        peak: { cpu: 0, memory: 0, gpu: 0, disk: 0 },
        average: { cpu: 0, memory: 0, gpu: 0, network: 0 },
        total: { energy: 0, cost: 0, carbon: 0 },
      },
    };
  }

  private async loadImages(imageIds: string[]): Promise<GeneratedImage[]> {
    // Load images by IDs
    return [];
  }

  private getDefaultArtisticStyle(): Partial<ArtisticStyleConfig> {
    return {
      movement: "contemporary",
      technique: "digital",
      era: "modern",
      intensity: 0.5,
    };
  }

  private getDefaultPhotographicStyle(): Partial<PhotographicStyleConfig> {
    return {
      camera: {
        type: "digital",
        sensor: "full_frame",
        iso: 100,
        colorProfile: "sRGB",
      },
      lens: {
        focalLength: 50,
        aperture: 2.8,
        distortion: 0,
        vignetting: 0,
      },
    };
  }

  private getDefaultComposition(): Partial<CompositionConfig> {
    return {
      rules: [{ name: "rule_of_thirds", weight: 1.0, enabled: true }],
    };
  }

  private getDefaultLighting(): Partial<LightingConfig> {
    return {
      setup: {
        primary: {
          type: "natural",
          intensity: 1.0,
          temperature: 5500,
          direction: { azimuth: 45, elevation: 30, spread: 10 },
          diffusion: 0.5,
        },
        secondary: [],
        ambient: {
          intensity: 0.3,
          color: "#ffffff",
          source: "sky",
        },
        shadows: {
          enabled: true,
          softness: 0.5,
          opacity: 0.7,
          color: "#000000",
        },
      },
    };
  }

  private getDefaultEnhancement(): Partial<EnhancementConfig> {
    return {
      sharpening: {
        enabled: true,
        amount: 0.5,
        radius: 1.0,
        threshold: 0.1,
        masking: false,
      },
    };
  }

  private getDefaultCorrection(): Partial<CorrectionConfig> {
    return {
      perspective: {
        enabled: false,
        auto: true,
        keystone: { horizontal: 0, vertical: 0 },
        rotation: { angle: 0, auto: true, crop: true },
      },
    };
  }

  private generateId(): string {
    return `img4_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
  }

  private generateRequestId(): string {
    return `req_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
  }

  private generateChecksum(data: string): string {
    // Simple checksum implementation
    let hash = 0;
    for (let i = 0; i < data.length; i++) {
      const char = data.charCodeAt(i);
      hash = (hash << 5) - hash + char;
      hash = hash & hash; // Convert to 32-bit integer
    }
    return hash.toString(16);
  }

  private createErrorResponse(
    code: string,
    message: string,
  ): ServiceResponse<any> {
    return {
      success: false,
      error: {
        code,
        message,
        retryable: false,
        timestamp: new Date(),
      },
      metadata: {
        requestId: this.generateRequestId(),
        timestamp: new Date(),
        processingTime: 0,
        region: "local",
      },
    };
  }

  private handleStyleApplied(event: any): void {
    this.logger.debug("Style applied", event);
  }

  private handleProcessingCompleted(event: any): void {
    this.logger.debug("Processing completed", event);
  }

  private handleQualityAssessed(event: any): void {
    this.logger.debug("Quality assessed", event);
  }
}

// ==================== Supporting Classes ====================
// (Abbreviated implementations for brevity)

class StyleEngine extends EventEmitter {
  private config: StyleConfig;
  private logger: Logger;

  constructor(config: StyleConfig) {
    super();
    this.config = config;
    this.logger = new Logger("StyleEngine");
  }

  async initialize(): Promise<void> {
    this.logger.info("Initializing style engine");
  }

  async processImages(
    images: GeneratedImage[],
    style: StyleRequest,
  ): Promise<GeneratedImage[]> {
    // Style processing implementation
    return images;
  }

  async transferStyle(
    images: GeneratedImage[],
    styleRequest: StyleTransferRequest,
  ): Promise<GeneratedImage[]> {
    // Style transfer implementation
    return images;
  }
}

class ProcessingEngine extends EventEmitter {
  private config: ProcessingConfig;
  private logger: Logger;

  constructor(config: ProcessingConfig) {
    super();
    this.config = config;
    this.logger = new Logger("ProcessingEngine");
  }

  async initialize(): Promise<void> {
    this.logger.info("Initializing processing engine");
  }

  async processImages(
    images: GeneratedImage[],
    processing: ProcessingRequest,
  ): Promise<GeneratedImage[]> {
    // Image processing implementation
    return images;
  }
}

class QualityController {
  private config: QualityLevel;
  private logger: Logger;

  constructor(config: QualityLevel) {
    this.config = config;
    this.logger = new Logger("QualityController");
  }

  async initialize(): Promise<void> {
    this.logger.info("Initializing quality controller");
  }

  async assessImages(images: GeneratedImage[]): Promise<QualityMetrics> {
    // Quality assessment implementation
    return {
      overall: 85,
      technical: {
        resolution: 90,
        sharpness: 85,
        noise: 80,
        artifacts: 95,
        compression: 90,
      },
      aesthetic: {
        composition: 80,
        color: 85,
        lighting: 90,
        style: 85,
        creativity: 75,
      },
      safety: {
        adult: 0,
        violence: 0,
        toxic: 0,
        copyright: 0,
        overall: 100,
      },
    };
  }
}

class ImageStorageManager {
  private config: StorageConfig;
  private logger: Logger;

  constructor(config: StorageConfig) {
    this.config = config;
    this.logger = new Logger("ImageStorageManager");
  }

  async initialize(): Promise<void> {
    this.logger.info("Initializing image storage manager");
  }

  async saveImages(images: GeneratedImage[]): Promise<void> {
    // Image storage implementation
    for (const image of images) {
      this.logger.debug("Saving image", { id: image.id, path: image.path });
    }
  }
}

class PerformanceMonitor {
  private config: OptimizationConfig;
  private logger: Logger;

  constructor(config: OptimizationConfig) {
    this.config = config;
    this.logger = new Logger("PerformanceMonitor");
  }

  async start(): Promise<void> {
    this.logger.info("Starting performance monitor");
  }

  async getMetrics(): Promise<PerformanceMetrics> {
    return {
      latency: { mean: 0, p50: 0, p95: 0, p99: 0, max: 0 },
      throughput: {
        requestsPerSecond: 0,
        bytesPerSecond: 0,
        operationsPerSecond: 0,
      },
      utilization: { cpu: 0, memory: 0, disk: 0, network: 0 },
      errors: { rate: 0, percentage: 0, types: {} },
    };
  }
}

class SafetyFilter {
  private config: SafetyConfig;
  private logger: Logger;

  constructor(config: SafetyConfig) {
    this.config = config;
    this.logger = new Logger("SafetyFilter");
  }

  async initialize(): Promise<void> {
    this.logger.info("Initializing safety filter");
  }

  async checkRequest(request: ImageGenerationRequest): Promise<void> {
    // Safety filtering implementation
    if (this.config.contentFilter) {
      // Check for inappropriate content
    }
  }
}