@clduab11/gemini-flow/src/multimedia/core/multimedia-pipeline.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.

/**
 * Unified Multimedia Pipeline
 *
 * Orchestrates Imagen 4, Chirp Audio, and Lyria Music generation
 * with shared infrastructure and optimizations
 */

import { EventEmitter } from "events";
import { Logger } from "../../utils/logger.js";
import { PerformanceMonitor } from "../../core/performance-monitor.js";
import { CacheManager } from "../../core/cache-manager.js";
import {
  MultimediaPipelineConfig,
  MultimediaPipelineResponse,
  MultimediaGenerationRequest,
  MultimediaGenerationResponse,
  MultimediaContext,
  PipelineStage,
  BatchStrategy,
  MonitoringConfig,
  SecurityConfig,
  MultimediaMetadata,
} from "../../types/multimedia.js";

import { ImageGenerationPipeline } from "../image/image-generation-pipeline.js";
import { AudioProcessor } from "../audio/audio-processor.js";
import { MusicComposer } from "../music/music-composer.js";

export class MultimediaPipeline extends EventEmitter {
  private logger: Logger;
  private config: MultimediaPipelineConfig;
  private performance: PerformanceMonitor;
  private cache: CacheManager;

  // Specialized processors
  private imageGenerator: ImageGenerationPipeline;
  private audioProcessor: AudioProcessor;
  private musicComposer: MusicComposer;

  // Pipeline state
  private activeRequests: Map<string, MultimediaPipelineResponse> = new Map();
  private requestQueue: Array<{
    request: MultimediaGenerationRequest;
    context: MultimediaContext;
    resolve: (result: MultimediaGenerationResponse) => void;
    reject: (error: Error) => void;
  }> = [];

  // Batch processing
  private batchQueues: Map<string, MultimediaGenerationRequest[]> = new Map();
  private batchTimers: Map<string, NodeJS.Timeout> = new Map();

  // Metrics
  private metrics = {
    totalRequests: 0,
    successfulRequests: 0,
    failedRequests: 0,
    imageRequests: 0,
    audioRequests: 0,
    musicRequests: 0,
    batchRequests: 0,
    cacheHits: 0,
    totalLatency: 0,
    totalCost: 0,
    activeConnections: 0,
  };

  constructor(config: MultimediaPipelineConfig) {
    super();
    this.config = config;
    this.logger = new Logger("MultimediaPipeline");
    this.performance = new PerformanceMonitor();

    // Initialize shared cache with multimedia-optimized settings
    this.cache = new CacheManager({
      maxMemorySize: 200 * 1024 * 1024, // 200MB for multimedia content
      defaultTTL: this.config.shared.caching.ttl,
      evictionPolicy: this.config.shared.caching.evictionPolicy,
      compression: true, // Enable compression for large multimedia data
    });

    // Initialize specialized processors
    this.imageGenerator = new ImageGenerationPipeline(config.image);
    this.audioProcessor = new AudioProcessor(config.audio);
    this.musicComposer = new MusicComposer(config.music);

    this.setupEventHandlers();
    this.initializePipeline();
  }

  /**
   * Initialize the multimedia pipeline
   */
  private async initializePipeline(): Promise<void> {
    try {
      this.logger.info("Initializing multimedia pipeline...");

      // Initialize all processors in parallel
      await Promise.all([
        this.imageGenerator.initialize(),
        this.audioProcessor.initialize(),
        this.musicComposer.initialize(),
      ]);

      // Start monitoring if enabled
      if (this.config.shared.monitoring.enabled) {
        this.startMonitoring();
      }

      // Setup batch processing
      if (this.config.shared.batching.enabled) {
        this.setupBatchProcessing();
      }

      this.logger.info("Multimedia pipeline initialized successfully");
      this.emit("initialized");
    } catch (error) {
      this.logger.error("Failed to initialize multimedia pipeline", error);
      throw error;
    }
  }

  /**
   * Setup event handlers for processors
   */
  private setupEventHandlers(): void {
    // Image generation events
    this.imageGenerator.on("generation_completed", (data) => {
      this.handleProcessorEvent("image", "completed", data);
    });

    this.imageGenerator.on("generation_failed", (data) => {
      this.handleProcessorEvent("image", "failed", data);
    });

    // Audio processing events
    this.audioProcessor.on("audio_generated", (data) => {
      this.handleProcessorEvent("audio", "completed", data);
    });

    this.audioProcessor.on("audio_failed", (data) => {
      this.handleProcessorEvent("audio", "failed", data);
    });

    // Music composition events
    this.musicComposer.on("composition_completed", (data) => {
      this.handleProcessorEvent("music", "completed", data);
    });

    this.musicComposer.on("composition_failed", (data) => {
      this.handleProcessorEvent("music", "failed", data);
    });
  }

  /**
   * Handle events from specialized processors
   */
  private handleProcessorEvent(type: string, status: string, data: any): void {
    const requestId = data.requestId || data.id;
    const activeRequest = this.activeRequests.get(requestId);

    if (activeRequest) {
      if (status === "completed") {
        activeRequest.status = "completed";
        activeRequest.result = data;
        activeRequest.progress = 1.0;
        this.metrics.successfulRequests++;
      } else if (status === "failed") {
        activeRequest.status = "failed";
        activeRequest.error = data.error || "Processing failed";
        this.metrics.failedRequests++;
      }

      // Update pipeline stages
      this.updatePipelineStages(activeRequest, status);

      // Emit unified event
      this.emit("request_updated", activeRequest);

      // Clean up completed/failed requests
      if (status === "completed" || status === "failed") {
        this.activeRequests.delete(requestId);
      }
    }
  }

  /**
   * Generate multimedia content
   */
  async generate(
    request: MultimediaGenerationRequest,
    context: MultimediaContext,
  ): Promise<MultimediaGenerationResponse> {
    const startTime = performance.now();
    const requestId = context.requestId;

    this.metrics.totalRequests++;

    try {
      // Validate request
      await this.validateRequest(request, context);

      // Check cache first
      const cacheKey = this.generateCacheKey(request, context);
      if (this.config.shared.caching.enabled) {
        const cachedResult = await this.cache.get(cacheKey);
        if (cachedResult) {
          this.metrics.cacheHits++;
          this.logger.debug("Cache hit for multimedia request", { requestId });
          return cachedResult;
        }
      }

      // Create pipeline response
      const pipelineResponse: MultimediaPipelineResponse = {
        id: requestId,
        type: this.getRequestType(request),
        status: "pending",
        progress: 0,
        metadata: this.createMetadata(requestId, startTime),
        pipeline: {
          stages: this.createPipelineStages(request),
          currentStage: 0,
          estimatedCompletion: new Date(
            Date.now() + this.estimateCompletionTime(request),
          ),
        },
      };

      this.activeRequests.set(requestId, pipelineResponse);

      // Check if batch processing is enabled and appropriate
      if (this.shouldBatch(request, context)) {
        return await this.enqueueBatchRequest(request, context);
      }

      // Process request directly
      const result = await this.processRequest(
        request,
        context,
        pipelineResponse,
      );

      // Cache successful results
      if (this.config.shared.caching.enabled && result) {
        await this.cache.set(cacheKey, result, this.config.shared.caching.ttl);
      }

      // Update metrics
      const latency = performance.now() - startTime;
      this.metrics.totalLatency += latency;
      this.metrics.successfulRequests++;

      // Record performance
      this.performance.recordMetric("multimedia_generation_latency", latency);
      this.performance.recordMetric(
        "multimedia_generation_cost",
        result.metadata.cost,
      );

      this.logger.info("Multimedia generation completed", {
        requestId,
        type: pipelineResponse.type,
        latency,
        cost: result.metadata.cost,
      });

      return result;
    } catch (error) {
      this.metrics.failedRequests++;

      const latency = performance.now() - startTime;
      this.logger.error("Multimedia generation failed", {
        requestId,
        latency,
        error: error.message,
      });

      throw error;
    }
  }

  /**
   * Process multimedia request
   */
  private async processRequest(
    request: MultimediaGenerationRequest,
    context: MultimediaContext,
    pipelineResponse: MultimediaPipelineResponse,
  ): Promise<MultimediaGenerationResponse> {
    pipelineResponse.status = "processing";
    pipelineResponse.progress = 0.1;
    this.emit("request_updated", pipelineResponse);

    const requestType = this.getRequestType(request);

    try {
      let result: MultimediaGenerationResponse;

      switch (requestType) {
        case "image":
          this.metrics.imageRequests++;
          pipelineResponse.pipeline.currentStage = 1;
          result = await this.imageGenerator.generateImage(request as any);
          break;

        case "audio":
          this.metrics.audioRequests++;
          pipelineResponse.pipeline.currentStage = 1;
          result = await this.audioProcessor.generateAudio(request as any);
          break;

        case "music":
          this.metrics.musicRequests++;
          pipelineResponse.pipeline.currentStage = 1;
          result = await this.musicComposer.composeMusic(request as any);
          break;

        default:
          throw new Error(`Unsupported request type: ${requestType}`);
      }

      // Apply post-processing
      pipelineResponse.pipeline.currentStage = 2;
      pipelineResponse.progress = 0.8;
      this.emit("request_updated", pipelineResponse);

      const processedResult = await this.applyPostProcessing(result, context);

      pipelineResponse.status = "completed";
      pipelineResponse.progress = 1.0;
      pipelineResponse.result = processedResult;
      this.emit("request_updated", pipelineResponse);

      return processedResult;
    } catch (error) {
      pipelineResponse.status = "failed";
      pipelineResponse.error = error.message;
      this.emit("request_updated", pipelineResponse);
      throw error;
    }
  }

  /**
   * Stream multimedia generation
   */
  async *generateStream(
    request: MultimediaGenerationRequest,
    context: MultimediaContext,
  ): AsyncIterableIterator<MultimediaPipelineResponse> {
    const requestId = context.requestId;
    const requestType = this.getRequestType(request);

    // Create initial response
    const pipelineResponse: MultimediaPipelineResponse = {
      id: requestId,
      type: requestType,
      status: "processing",
      progress: 0,
      metadata: this.createMetadata(requestId, performance.now()),
      pipeline: {
        stages: this.createPipelineStages(request),
        currentStage: 0,
        estimatedCompletion: new Date(
          Date.now() + this.estimateCompletionTime(request),
        ),
      },
    };

    yield pipelineResponse;

    try {
      switch (requestType) {
        case "audio":
          if (this.audioProcessor.supportsStreaming()) {
            for await (const chunk of this.audioProcessor.generateAudioStream(
              request as any,
            )) {
              pipelineResponse.progress = chunk.progress || 0;
              pipelineResponse.result = chunk;
              yield pipelineResponse;
            }
          } else {
            // Fallback to regular generation with progress updates
            const result = await this.processRequest(
              request,
              context,
              pipelineResponse,
            );
            pipelineResponse.result = result;
            yield pipelineResponse;
          }
          break;

        case "music":
          if (this.musicComposer.supportsStreaming()) {
            for await (const chunk of this.musicComposer.composeMusicStream(
              request as any,
            )) {
              pipelineResponse.progress = chunk.progress || 0;
              pipelineResponse.result = chunk;
              yield pipelineResponse;
            }
          } else {
            // Fallback to regular generation with progress updates
            const result = await this.processRequest(
              request,
              context,
              pipelineResponse,
            );
            pipelineResponse.result = result;
            yield pipelineResponse;
          }
          break;

        default:
          // For non-streaming requests, provide progress updates
          const result = await this.processRequest(
            request,
            context,
            pipelineResponse,
          );
          pipelineResponse.result = result;
          yield pipelineResponse;
      }

      pipelineResponse.status = "completed";
      pipelineResponse.progress = 1.0;
      yield pipelineResponse;
    } catch (error) {
      pipelineResponse.status = "failed";
      pipelineResponse.error = error.message;
      yield pipelineResponse;
    }
  }

  /**
   * Batch process multiple requests
   */
  async batchGenerate(
    requests: Array<{
      request: MultimediaGenerationRequest;
      context: MultimediaContext;
    }>,
  ): Promise<MultimediaGenerationResponse[]> {
    this.metrics.batchRequests++;

    const batchId = `batch_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
    this.logger.info("Starting batch generation", {
      batchId,
      requestCount: requests.length,
    });

    try {
      // Group requests by type for optimal processing
      const groupedRequests = this.groupRequestsByType(requests);
      const results: MultimediaGenerationResponse[] = [];

      // Process each group
      for (const [type, typeRequests] of groupedRequests) {
        const typeResults = await this.processBatchByType(
          type,
          typeRequests,
          batchId,
        );
        results.push(...typeResults);
      }

      this.logger.info("Batch generation completed", {
        batchId,
        requestCount: requests.length,
        successCount: results.length,
      });

      return results;
    } catch (error) {
      this.logger.error("Batch generation failed", {
        batchId,
        error: error.message,
      });
      throw error;
    }
  }

  /**
   * Validate multimedia request
   */
  private async validateRequest(
    request: MultimediaGenerationRequest,
    context: MultimediaContext,
  ): Promise<void> {
    // Basic validation
    if (!request || typeof request !== "object") {
      throw new Error("Invalid request object");
    }

    if (!context.requestId) {
      throw new Error("Request ID is required");
    }

    // Type-specific validation
    const requestType = this.getRequestType(request);

    switch (requestType) {
      case "image":
        await this.imageGenerator.validateRequest(request as any);
        break;
      case "audio":
        await this.audioProcessor.validateRequest(request as any);
        break;
      case "music":
        await this.musicComposer.validateRequest(request as any);
        break;
      default:
        throw new Error(`Unknown request type: ${requestType}`);
    }

    // Security validation
    if (this.config.shared.security.contentFiltering) {
      await this.validateContent(request);
    }

    // Budget validation
    if (context.budget) {
      await this.validateBudget(request, context);
    }
  }

  /**
   * Validate content for safety
   */
  private async validateContent(
    request: MultimediaGenerationRequest,
  ): Promise<void> {
    // Implement content safety validation
    // This would integrate with Google's safety APIs

    if ("prompt" in request && request.prompt) {
      // Check for harmful content in prompts
      const safetyCheck = await this.checkContentSafety(request.prompt);
      if (!safetyCheck.safe) {
        throw new Error(`Content policy violation: ${safetyCheck.reason}`);
      }
    }

    if ("text" in request && request.text) {
      // Check for harmful content in text
      const safetyCheck = await this.checkContentSafety(request.text);
      if (!safetyCheck.safe) {
        throw new Error(`Content policy violation: ${safetyCheck.reason}`);
      }
    }
  }

  /**
   * Check content safety
   */
  private async checkContentSafety(
    content: string,
  ): Promise<{ safe: boolean; reason?: string }> {
    // Implement safety checking logic
    // This would integrate with content moderation APIs

    const harmfulPatterns = [
      /violence/i,
      /illegal/i,
      /harmful/i,
      // Add more patterns as needed
    ];

    for (const pattern of harmfulPatterns) {
      if (pattern.test(content)) {
        return {
          safe: false,
          reason: `Content contains potentially harmful material: ${pattern.source}`,
        };
      }
    }

    return { safe: true };
  }

  /**
   * Validate budget constraints
   */
  private async validateBudget(
    request: MultimediaGenerationRequest,
    context: MultimediaContext,
  ): Promise<void> {
    if (!context.budget) return;

    const estimatedCost = await this.estimateCost(request);

    if (estimatedCost > context.budget.maxCost) {
      throw new Error(
        `Estimated cost (${estimatedCost} ${context.budget.currency}) exceeds budget limit (${context.budget.maxCost} ${context.budget.currency})`,
      );
    }
  }

  /**
   * Estimate cost for request
   */
  private async estimateCost(
    request: MultimediaGenerationRequest,
  ): Promise<number> {
    const requestType = this.getRequestType(request);

    switch (requestType) {
      case "image":
        return this.imageGenerator.estimateCost(request as any);
      case "audio":
        return this.audioProcessor.estimateCost(request as any);
      case "music":
        return this.musicComposer.estimateCost(request as any);
      default:
        return 0;
    }
  }

  /**
   * Get request type
   */
  private getRequestType(
    request: MultimediaGenerationRequest,
  ): "image" | "audio" | "music" {
    if ("prompt" in request && ("size" in request || "style" in request)) {
      return "image";
    }
    if ("text" in request && "voice" in request) {
      return "audio";
    }
    if (
      "prompt" in request &&
      "style" in request &&
      "genre" in (request.style || {})
    ) {
      return "music";
    }

    // Fallback detection based on specific properties
    if ("artisticControls" in request || "styleTransfer" in request) {
      return "image";
    }
    if ("audioSettings" in request || "effects" in request) {
      return "audio";
    }
    if ("composition" in request || "instrumentation" in request) {
      return "music";
    }

    throw new Error("Cannot determine request type from request properties");
  }

  /**
   * Apply post-processing to results
   */
  private async applyPostProcessing(
    result: MultimediaGenerationResponse,
    context: MultimediaContext,
  ): Promise<MultimediaGenerationResponse> {
    // Apply quality enhancements based on user tier
    if (context.userTier === "enterprise") {
      result = await this.applyEnterpriseEnhancements(result);
    }

    // Apply compression if needed
    if (context.latencyTarget < 1000) {
      result = await this.applyCompressionOptimizations(result);
    }

    // Add watermarks for free tier
    if (context.userTier === "free") {
      result = await this.applyWatermark(result);
    }

    return result;
  }

  /**
   * Apply enterprise-level enhancements
   */
  private async applyEnterpriseEnhancements(
    result: MultimediaGenerationResponse,
  ): Promise<MultimediaGenerationResponse> {
    // Implement enterprise features like higher quality, extended duration, etc.
    return result;
  }

  /**
   * Apply compression optimizations
   */
  private async applyCompressionOptimizations(
    result: MultimediaGenerationResponse,
  ): Promise<MultimediaGenerationResponse> {
    // Implement compression for faster delivery
    return result;
  }

  /**
   * Apply watermark for free tier
   */
  private async applyWatermark(
    result: MultimediaGenerationResponse,
  ): Promise<MultimediaGenerationResponse> {
    // Implement watermarking logic
    return result;
  }

  /**
   * Generate cache key
   */
  private generateCacheKey(
    request: MultimediaGenerationRequest,
    context: MultimediaContext,
  ): string {
    const keyData = {
      type: this.getRequestType(request),
      request: this.sanitizeRequestForCaching(request),
      userTier: context.userTier,
      qualityTarget: context.qualityTarget,
    };

    const keyString = JSON.stringify(keyData);
    return `multimedia_${Buffer.from(keyString).toString("base64").substring(0, 50)}`;
  }

  /**
   * Sanitize request for caching (remove sensitive data)
   */
  private sanitizeRequestForCaching(request: MultimediaGenerationRequest): any {
    const sanitized = { ...request };

    // Remove context and sensitive information
    delete (sanitized as any).context;

    return sanitized;
  }

  /**
   * Create metadata for response
   */
  private createMetadata(
    requestId: string,
    startTime: number,
  ): MultimediaMetadata {
    return {
      id: requestId,
      timestamp: new Date(),
      model: "multimedia-pipeline",
      latency: 0, // Will be updated
      cost: 0, // Will be calculated
      usage: {
        computeUnits: 0,
        storageBytes: 0,
        bandwidth: 0,
      },
      quality: {
        score: 0,
        artifacts: [],
        safety: [],
      },
    };
  }

  /**
   * Create pipeline stages
   */
  private createPipelineStages(
    request: MultimediaGenerationRequest,
  ): PipelineStage[] {
    const requestType = this.getRequestType(request);

    const stages: PipelineStage[] = [
      {
        name: "validation",
        status: "pending",
      },
      {
        name: `${requestType}_generation`,
        status: "pending",
      },
      {
        name: "post_processing",
        status: "pending",
      },
    ];

    return stages;
  }

  /**
   * Update pipeline stages
   */
  private updatePipelineStages(
    pipelineResponse: MultimediaPipelineResponse,
    status: string,
  ): void {
    const currentStage =
      pipelineResponse.pipeline.stages[pipelineResponse.pipeline.currentStage];

    if (currentStage) {
      if (status === "completed") {
        currentStage.status = "completed";
        currentStage.endTime = new Date();
        if (currentStage.startTime) {
          currentStage.duration =
            currentStage.endTime.getTime() - currentStage.startTime.getTime();
        }
      } else if (status === "failed") {
        currentStage.status = "failed";
        currentStage.endTime = new Date();
      } else if (status === "processing") {
        currentStage.status = "processing";
        currentStage.startTime = new Date();
      }
    }
  }

  /**
   * Estimate completion time
   */
  private estimateCompletionTime(request: MultimediaGenerationRequest): number {
    const requestType = this.getRequestType(request);

    // Base estimates in milliseconds
    const estimates = {
      image: 5000, // 5 seconds
      audio: 10000, // 10 seconds
      music: 30000, // 30 seconds
    };

    return estimates[requestType] || 10000;
  }

  /**
   * Check if request should be batched
   */
  private shouldBatch(
    request: MultimediaGenerationRequest,
    context: MultimediaContext,
  ): boolean {
    if (!this.config.shared.batching.enabled) {
      return false;
    }

    // Don't batch high-priority or real-time requests
    if (context.priority === "urgent" || context.latencyTarget < 5000) {
      return false;
    }

    return true;
  }

  /**
   * Enqueue request for batch processing
   */
  private async enqueueBatchRequest(
    request: MultimediaGenerationRequest,
    context: MultimediaContext,
  ): Promise<MultimediaGenerationResponse> {
    return new Promise((resolve, reject) => {
      this.requestQueue.push({ request, context, resolve, reject });
      this.processBatchQueue();
    });
  }

  /**
   * Process batch queue
   */
  private processBatchQueue(): void {
    if (this.requestQueue.length === 0) return;

    const batchSize = Math.min(
      this.requestQueue.length,
      this.config.shared.batching.maxBatchSize,
    );

    if (
      batchSize >= this.config.shared.batching.maxBatchSize ||
      (this.requestQueue.length > 0 && !this.batchTimers.has("default"))
    ) {
      // Set timer for batch processing
      const timer = setTimeout(() => {
        this.flushBatchQueue();
        this.batchTimers.delete("default");
      }, this.config.shared.batching.timeout);

      this.batchTimers.set("default", timer);
    }
  }

  /**
   * Flush batch queue
   */
  private async flushBatchQueue(): Promise<void> {
    if (this.requestQueue.length === 0) return;

    const batchSize = Math.min(
      this.requestQueue.length,
      this.config.shared.batching.maxBatchSize,
    );

    const batch = this.requestQueue.splice(0, batchSize);

    try {
      const requests = batch.map((item) => ({
        request: item.request,
        context: item.context,
      }));

      const results = await this.batchGenerate(requests);

      // Resolve individual promises
      batch.forEach((item, index) => {
        if (results[index]) {
          item.resolve(results[index]);
        } else {
          item.reject(new Error("Batch processing failed"));
        }
      });
    } catch (error) {
      // Reject all promises in the batch
      batch.forEach((item) => {
        item.reject(error as Error);
      });
    }
  }

  /**
   * Group requests by type for batch processing
   */
  private groupRequestsByType(
    requests: Array<{
      request: MultimediaGenerationRequest;
      context: MultimediaContext;
    }>,
  ): Map<string, typeof requests> {
    const groups = new Map<string, typeof requests>();

    for (const item of requests) {
      const type = this.getRequestType(item.request);

      if (!groups.has(type)) {
        groups.set(type, []);
      }

      groups.get(type)!.push(item);
    }

    return groups;
  }

  /**
   * Process batch by type
   */
  private async processBatchByType(
    type: string,
    requests: Array<{
      request: MultimediaGenerationRequest;
      context: MultimediaContext;
    }>,
    batchId: string,
  ): Promise<MultimediaGenerationResponse[]> {
    this.logger.debug("Processing batch by type", {
      batchId,
      type,
      requestCount: requests.length,
    });

    const results: MultimediaGenerationResponse[] = [];

    switch (type) {
      case "image":
        for (const { request, context } of requests) {
          const result = await this.imageGenerator.generateImage(
            request as any,
          );
          results.push(result);
        }
        break;

      case "audio":
        for (const { request, context } of requests) {
          const result = await this.audioProcessor.generateAudio(
            request as any,
          );
          results.push(result);
        }
        break;

      case "music":
        for (const { request, context } of requests) {
          const result = await this.musicComposer.composeMusic(request as any);
          results.push(result);
        }
        break;

      default:
        throw new Error(`Unsupported batch type: ${type}`);
    }

    return results;
  }

  /**
   * Setup batch processing timers
   */
  private setupBatchProcessing(): void {
    // Setup periodic batch processing
    setInterval(() => {
      if (this.requestQueue.length > 0) {
        this.processBatchQueue();
      }
    }, this.config.shared.batching.timeout);
  }

  /**
   * Start monitoring
   */
  private startMonitoring(): void {
    // Setup periodic metrics collection
    setInterval(() => {
      this.collectMetrics();
    }, 60000); // Every minute

    // Setup health checks
    setInterval(() => {
      this.performHealthCheck();
    }, 300000); // Every 5 minutes
  }

  /**
   * Collect metrics
   */
  private collectMetrics(): void {
    const metrics = {
      ...this.metrics,
      cacheStats: this.cache.getStats(),
      performanceMetrics: this.performance.getMetrics(),
      activeRequests: this.activeRequests.size,
      queuedRequests: this.requestQueue.length,
      timestamp: Date.now(),
    };

    this.emit("metrics_collected", metrics);

    if (this.config.shared.monitoring.performanceTracking) {
      this.performance.recordMetric(
        "pipeline_active_requests",
        this.activeRequests.size,
      );
      this.performance.recordMetric(
        "pipeline_queued_requests",
        this.requestQueue.length,
      );
      this.performance.recordMetric(
        "pipeline_cache_hit_rate",
        this.metrics.cacheHits / Math.max(this.metrics.totalRequests, 1),
      );
    }
  }

  /**
   * Perform health check
   */
  private async performHealthCheck(): Promise<void> {
    try {
      const healthStatus = {
        pipeline: "healthy",
        image: await this.imageGenerator.healthCheck(),
        audio: await this.audioProcessor.healthCheck(),
        music: await this.musicComposer.healthCheck(),
        cache: this.cache.getStats(),
        timestamp: new Date(),
      };

      this.emit("health_check", healthStatus);
    } catch (error) {
      this.logger.error("Health check failed", error);
      this.emit("health_check_failed", {
        error: error.message,
        timestamp: new Date(),
      });
    }
  }

  /**
   * Get pipeline metrics
   */
  getMetrics() {
    return {
      ...this.metrics,
      avgLatency:
        this.metrics.totalRequests > 0
          ? this.metrics.totalLatency / this.metrics.totalRequests
          : 0,
      successRate:
        this.metrics.totalRequests > 0
          ? this.metrics.successfulRequests / this.metrics.totalRequests
          : 0,
      cacheHitRate:
        this.metrics.totalRequests > 0
          ? this.metrics.cacheHits / this.metrics.totalRequests
          : 0,
      activeRequests: this.activeRequests.size,
      queuedRequests: this.requestQueue.length,
      cacheStats: this.cache.getStats(),
    };
  }

  /**
   * Get active requests
   */
  getActiveRequests(): MultimediaPipelineResponse[] {
    return Array.from(this.activeRequests.values());
  }

  /**
   * Cancel request
   */
  async cancelRequest(requestId: string): Promise<boolean> {
    const activeRequest = this.activeRequests.get(requestId);

    if (activeRequest) {
      activeRequest.status = "cancelled";
      this.activeRequests.delete(requestId);

      // Try to cancel in specialized processors
      await Promise.all([
        this.imageGenerator.cancelRequest(requestId).catch(() => {}),
        this.audioProcessor.cancelRequest(requestId).catch(() => {}),
        this.musicComposer.cancelRequest(requestId).catch(() => {}),
      ]);

      this.emit("request_cancelled", { requestId });
      return true;
    }

    return false;
  }

  /**
   * Shutdown pipeline
   */
  async shutdown(): Promise<void> {
    this.logger.info("Shutting down multimedia pipeline...");

    // Clear timers
    for (const timer of this.batchTimers.values()) {
      clearTimeout(timer);
    }
    this.batchTimers.clear();

    // Shutdown processors
    await Promise.all([
      this.imageGenerator.shutdown(),
      this.audioProcessor.shutdown(),
      this.musicComposer.shutdown(),
    ]);

    // Shutdown cache
    this.cache.shutdown();

    this.logger.info("Multimedia pipeline shutdown complete");
  }
}