flow-nexus/src/wasm/runtime.ts

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import { EventEmitter } from 'events';
import {
  AgentInstance,
  AgentType,
  AgentConfig,
  WasmModule,
  TaskResult,
  CuratorConfig,
  PricingConfig,
  SecurityConfig,
  RecommendationConfig
} from '../types';

export class WasmDAARuntime extends EventEmitter implements WasmModule {
  private wasmInstance: any | null = null;
  private wasmMemory: any | null = null;
  private agentPool: Map<string, AgentInstance> = new Map();
  private wasmPath: string;
  private memoryLimit: number;
  private simdEnabled: boolean;
  private threadPoolSize: number;
  private initialized = false;

  constructor(config: {
    wasmPath: string;
    memoryLimit?: string;
    simdEnabled?: boolean;
    threadPoolSize?: number;
  }) {
    super();
    this.wasmPath = config.wasmPath;
    this.memoryLimit = this.parseMemoryLimit(config.memoryLimit || '256MB');
    this.simdEnabled = config.simdEnabled ?? true;
    this.threadPoolSize = config.threadPoolSize || 4;
  }

  async initialize(): Promise<void> {
    if (this.initialized) {
      return;
    }

    try {
      console.log('Initializing WASM DAA Runtime...');
      
      // For now, we'll simulate WASM initialization
      // In a real implementation, this would load the actual WASM module
      await this.loadWasmModule();
      
      this.initialized = true;
      this.emit('initialized');
      
      console.log('WASM DAA Runtime initialized successfully');
    } catch (error) {
      console.error('Failed to initialize WASM DAA Runtime:', error);
      throw error;
    }
  }

  private async loadWasmModule(): Promise<void> {
    // Simulate WASM module loading
    // In production, this would:
    // 1. Load the WASM binary from wasmPath
    // 2. Create WebAssembly.Memory with memoryLimit
    // 3. Instantiate the WASM module
    // 4. Set up SIMD and threading if enabled
    
    // Simulate WebAssembly.Memory creation
    this.wasmMemory = {
      initial: Math.floor(this.memoryLimit / (64 * 1024)), // Convert to pages
      maximum: Math.floor(this.memoryLimit / (64 * 1024)),
      shared: this.threadPoolSize > 1
    };

    // Simulate module instantiation
    await new Promise(resolve => setTimeout(resolve, 100));
    
    console.log(`WASM module loaded with ${this.memoryLimit} bytes memory`);
    if (this.simdEnabled) {
      console.log('SIMD acceleration enabled');
    }
  }

  async spawnAgent(type: AgentType, config: AgentConfig): Promise<string> {
    if (!this.initialized) {
      throw new Error('WASM runtime not initialized');
    }

    const agentId = this.generateAgentId(type);
    
    // Validate configuration based on agent type
    const validatedConfig = this.validateAgentConfig(type, config);
    
    const agent: AgentInstance = {
      id: agentId,
      type,
      status: 'idle',
      lastActivity: new Date(),
      config: validatedConfig,
      performance: {
        tasksCompleted: 0,
        averageResponseTime: 0,
        errorRate: 0
      }
    };

    // Simulate WASM agent spawning
    await this.createWasmAgent(agent);
    
    this.agentPool.set(agentId, agent);
    this.emit('agentSpawned', { agentId, type });
    
    console.log(`Spawned ${type} agent: ${agentId}`);
    return agentId;
  }

  async executeFunction(agentId: string, functionName: string, params: any): Promise<any> {
    const agent = this.agentPool.get(agentId);
    if (!agent) {
      throw new Error(`Agent ${agentId} not found`);
    }

    if (agent.status === 'busy') {
      throw new Error(`Agent ${agentId} is busy`);
    }

    const startTime = Date.now();
    agent.status = 'busy';
    agent.lastActivity = new Date();

    try {
      // Route to appropriate agent function based on type and function name
      const result = await this.routeAgentFunction(agent, functionName, params);
      
      const executionTime = Date.now() - startTime;
      
      // Update performance metrics
      agent.performance.tasksCompleted++;
      agent.performance.averageResponseTime = 
        (agent.performance.averageResponseTime * (agent.performance.tasksCompleted - 1) + executionTime) / 
        agent.performance.tasksCompleted;

      agent.status = 'idle';
      this.emit('taskCompleted', { agentId, functionName, executionTime });
      
      return result;
    } catch (error) {
      agent.performance.errorRate = 
        (agent.performance.errorRate * agent.performance.tasksCompleted + 1) / 
        (agent.performance.tasksCompleted + 1);
      
      agent.status = 'error';
      this.emit('taskError', { agentId, functionName, error });
      throw error;
    }
  }

  private async routeAgentFunction(agent: AgentInstance, functionName: string, params: any): Promise<any> {
    switch (agent.type) {
      case 'curator':
        return this.executeCuratorFunction(agent, functionName, params);
      case 'pricing':
        return this.executePricingFunction(agent, functionName, params);
      case 'security':
        return this.executeSecurityFunction(agent, functionName, params);
      case 'recommendation':
        return this.executeRecommendationFunction(agent, functionName, params);
      default:
        throw new Error(`Unknown agent type: ${agent.type}`);
    }
  }

  private async executeCuratorFunction(agent: AgentInstance, functionName: string, params: any): Promise<any> {
    const config = agent.config as CuratorConfig;
    
    switch (functionName) {
      case 'assess_quality':
        return this.simulateQualityAssessment(params, config);
      case 'batch_review':
        return this.simulateBatchReview(params, config);
      case 'train_model':
        return this.simulateModelTraining(params, config);
      default:
        throw new Error(`Unknown curator function: ${functionName}`);
    }
  }

  private async executePricingFunction(agent: AgentInstance, functionName: string, params: any): Promise<any> {
    const config = agent.config as PricingConfig;
    
    switch (functionName) {
      case 'analyze_pricing':
        return this.simulatePricingAnalysis(params, config);
      case 'update_market_data':
        return this.simulateMarketUpdate(params, config);
      case 'optimize_price':
        return this.simulatePriceOptimization(params, config);
      default:
        throw new Error(`Unknown pricing function: ${functionName}`);
    }
  }

  private async executeSecurityFunction(agent: AgentInstance, functionName: string, params: any): Promise<any> {
    const config = agent.config as SecurityConfig;
    
    switch (functionName) {
      case 'scan_repository':
        return this.simulateSecurityScan(params, config);
      case 'analyze_vulnerabilities':
        return this.simulateVulnerabilityAnalysis(params, config);
      case 'generate_report':
        return this.simulateSecurityReport(params, config);
      default:
        throw new Error(`Unknown security function: ${functionName}`);
    }
  }

  private async executeRecommendationFunction(agent: AgentInstance, functionName: string, params: any): Promise<any> {
    const config = agent.config as RecommendationConfig;
    
    switch (functionName) {
      case 'generate_recommendations':
        return this.simulateRecommendations(params, config);
      case 'update_user_profile':
        return this.simulateProfileUpdate(params, config);
      case 'train_embedding':
        return this.simulateEmbeddingTraining(params, config);
      default:
        throw new Error(`Unknown recommendation function: ${functionName}`);
    }
  }

  // Simulation methods for each agent type
  private async simulateQualityAssessment(params: any, config: CuratorConfig): Promise<any> {
    // Simulate quality assessment logic
    await new Promise(resolve => setTimeout(resolve, 200 + Math.random() * 300));
    
    const qualityScore = Math.random() * 0.4 + 0.6; // 0.6-1.0 range
    const autoApprove = qualityScore >= config.qualityThreshold && config.autoApprove;
    
    return {
      qualityScore,
      autoApprove,
      metadata: {
        codeQuality: Math.random() * 0.3 + 0.7,
        documentation: Math.random() * 0.4 + 0.6,
        security: Math.random() * 0.2 + 0.8,
        performance: Math.random() * 0.3 + 0.7,
        issues: ['Minor documentation gaps', 'Performance optimization possible'],
        recommendations: ['Add more unit tests', 'Improve error handling']
      }
    };
  }

  private async simulateBatchReview(params: any, config: CuratorConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 500 + Math.random() * 500));
    
    return {
      processed: params.applications?.length || 0,
      approved: Math.floor((params.applications?.length || 0) * 0.7),
      rejected: Math.floor((params.applications?.length || 0) * 0.3),
      averageScore: 0.75
    };
  }

  private async simulateModelTraining(params: any, config: CuratorConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 1000 + Math.random() * 2000));
    
    return {
      success: true,
      epochsCompleted: params.epochs || 10,
      finalLoss: Math.random() * 0.1 + 0.05,
      accuracy: Math.random() * 0.1 + 0.85
    };
  }

  private async simulatePricingAnalysis(params: any, config: PricingConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 300 + Math.random() * 200));
    
    const basePrice = Math.random() * 50 + 10;
    
    return {
      recommendedPrice: basePrice,
      marketPosition: basePrice < 30 ? 'low' : basePrice < 50 ? 'medium' : 'high',
      elasticity: config.priceElasticity,
      competitorAnalysis: {
        averagePrice: basePrice * (0.8 + Math.random() * 0.4),
        priceRange: [basePrice * 0.6, basePrice * 1.4],
        marketShare: Math.random() * 0.3 + 0.1
      }
    };
  }

  private async simulateMarketUpdate(params: any, config: PricingConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 100 + Math.random() * 100));
    
    return {
      updated: true,
      priceChange: (Math.random() - 0.5) * 0.1, // ±5%
      volatility: Math.random() * 0.2,
      timestamp: new Date().toISOString()
    };
  }

  private async simulatePriceOptimization(params: any, config: PricingConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 400 + Math.random() * 300));
    
    return {
      originalPrice: params.currentPrice,
      optimizedPrice: params.currentPrice * (0.95 + Math.random() * 0.1),
      expectedRevenueIncrease: Math.random() * 0.15 + 0.05,
      confidence: Math.random() * 0.2 + 0.8
    };
  }

  private async simulateSecurityScan(params: any, config: SecurityConfig): Promise<any> {
    const scanTime = config.scanDepth === 'basic' ? 500 : 
                    config.scanDepth === 'comprehensive' ? 1500 : 2500;
    await new Promise(resolve => setTimeout(resolve, scanTime + Math.random() * 500));
    
    const vulnerabilityCount = Math.floor(Math.random() * 5);
    
    return {
      riskLevel: vulnerabilityCount === 0 ? 'low' : 
                vulnerabilityCount < 2 ? 'medium' : 
                vulnerabilityCount < 4 ? 'high' : 'critical',
      vulnerabilities: Array.from({ length: vulnerabilityCount }, (_, i) => ({
        severity: ['low', 'medium', 'high'][Math.floor(Math.random() * 3)],
        type: ['dependency', 'code', 'configuration'][Math.floor(Math.random() * 3)],
        description: `Security issue #${i + 1}`,
        file: `src/file${i + 1}.ts`,
        line: Math.floor(Math.random() * 100) + 1,
        fix: `Fix suggestion for issue #${i + 1}`
      })),
      compliance: {
        score: Math.random() * 0.3 + 0.7,
        issues: vulnerabilityCount > 0 ? ['Security policy violations'] : []
      }
    };
  }

  private async simulateVulnerabilityAnalysis(params: any, config: SecurityConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 800 + Math.random() * 400));
    
    return {
      analyzed: params.vulnerabilities?.length || 0,
      critical: Math.floor(Math.random() * 2),
      high: Math.floor(Math.random() * 3),
      medium: Math.floor(Math.random() * 5),
      low: Math.floor(Math.random() * 10),
      recommendations: ['Update dependencies', 'Review access controls']
    };
  }

  private async simulateSecurityReport(params: any, config: SecurityConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 300 + Math.random() * 200));
    
    return {
      reportId: `SEC-${Date.now()}`,
      generatedAt: new Date().toISOString(),
      summary: 'Security assessment completed',
      overallRisk: 'medium',
      actionItems: ['Address high-severity vulnerabilities', 'Update security policies']
    };
  }

  private async simulateRecommendations(params: any, config: RecommendationConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 600 + Math.random() * 400));
    
    const recommendations = Array.from({ length: 5 }, (_, i) => ({
      id: `app-${i + 1}`,
      name: `Application ${i + 1}`,
      relevanceScore: Math.random() * 0.4 + 0.6,
      reason: `Recommended based on your ${['usage patterns', 'preferences', 'similar users'][Math.floor(Math.random() * 3)]}`
    }));
    
    return {
      applications: recommendations,
      confidence: Math.random() * 0.2 + 0.8,
      modelVersion: 'v1.2.3'
    };
  }

  private async simulateProfileUpdate(params: any, config: RecommendationConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 200 + Math.random() * 100));
    
    return {
      updated: true,
      profileVersion: Date.now(),
      changes: ['Preferences updated', 'Interaction history recorded']
    };
  }

  private async simulateEmbeddingTraining(params: any, config: RecommendationConfig): Promise<any> {
    await new Promise(resolve => setTimeout(resolve, 2000 + Math.random() * 1000));
    
    return {
      success: true,
      embeddingDim: config.embeddingDim,
      trainingLoss: Math.random() * 0.1 + 0.02,
      convergence: true
    };
  }

  async terminateAgent(agentId: string): Promise<void> {
    const agent = this.agentPool.get(agentId);
    if (!agent) {
      throw new Error(`Agent ${agentId} not found`);
    }

    // Simulate WASM agent cleanup
    await new Promise(resolve => setTimeout(resolve, 100));
    
    this.agentPool.delete(agentId);
    this.emit('agentTerminated', { agentId });
    
    console.log(`Terminated agent: ${agentId}`);
  }

  async getMetrics(agentId?: string): Promise<any> {
    if (agentId) {
      const agent = this.agentPool.get(agentId);
      if (!agent) {
        throw new Error(`Agent ${agentId} not found`);
      }
      return {
        agentId,
        type: agent.type,
        status: agent.status,
        performance: agent.performance,
        lastActivity: agent.lastActivity
      };
    }

    // Return metrics for all agents
    const metrics: any = {
      totalAgents: this.agentPool.size,
      byType: {},
      overall: {
        totalTasksCompleted: 0,
        averageResponseTime: 0,
        averageErrorRate: 0
      }
    };

    for (const [id, agent] of this.agentPool.entries()) {
      if (!metrics.byType[agent.type]) {
        metrics.byType[agent.type] = {
          count: 0,
          active: 0,
          idle: 0,
          error: 0,
          totalTasks: 0,
          avgResponseTime: 0,
          errorRate: 0
        };
      }

      const typeMetrics = metrics.byType[agent.type];
      typeMetrics.count++;
      typeMetrics[agent.status]++;
      typeMetrics.totalTasks += agent.performance.tasksCompleted;
      typeMetrics.avgResponseTime += agent.performance.averageResponseTime;
      typeMetrics.errorRate += agent.performance.errorRate;

      metrics.overall.totalTasksCompleted += agent.performance.tasksCompleted;
      metrics.overall.averageResponseTime += agent.performance.averageResponseTime;
      metrics.overall.averageErrorRate += agent.performance.errorRate;
    }

    // Calculate averages
    for (const type in metrics.byType) {
      const typeMetrics = metrics.byType[type];
      if (typeMetrics.count > 0) {
        typeMetrics.avgResponseTime /= typeMetrics.count;
        typeMetrics.errorRate /= typeMetrics.count;
      }
    }

    if (this.agentPool.size > 0) {
      metrics.overall.averageResponseTime /= this.agentPool.size;
      metrics.overall.averageErrorRate /= this.agentPool.size;
    }

    return metrics;
  }

  async cleanup(): Promise<void> {
    console.log('Cleaning up WASM DAA Runtime...');
    
    // Terminate all agents
    const agentIds = Array.from(this.agentPool.keys());
    for (const agentId of agentIds) {
      await this.terminateAgent(agentId);
    }

    // Cleanup WASM instance
    this.wasmInstance = null;
    this.wasmMemory = null;
    this.initialized = false;

    this.emit('cleanup');
    console.log('WASM DAA Runtime cleanup completed');
  }

  private generateAgentId(type: AgentType): string {
    const timestamp = Date.now().toString(36);
    const random = Math.random().toString(36).substring(2, 8);
    return `${type}-${timestamp}-${random}`;
  }

  private validateAgentConfig(type: AgentType, config: AgentConfig): AgentConfig {
    // Validate and set defaults based on agent type
    switch (type) {
      case 'curator':
        return {
          qualityThreshold: 0.8,
          autoApprove: false,
          learningRate: 0.01,
          batchSize: 10,
          ...config
        } as CuratorConfig;
      
      case 'pricing':
        return {
          priceElasticity: 0.3,
          marketCap: 1000000,
          updateInterval: 300000,
          volatilityThreshold: 0.1,
          ...config
        } as PricingConfig;
      
      case 'security':
        return {
          scanDepth: 'comprehensive',
          cveDatabase: 'latest',
          aiModelPath: './models/security-scanner.onnx',
          parallelScans: 3,
          ...config
        } as SecurityConfig;
      
      case 'recommendation':
        return {
          modelType: 'collaborative_filtering',
          embeddingDim: 128,
          updateFrequency: 3600000,
          minUserInteractions: 5,
          ...config
        } as RecommendationConfig;
      
      default:
        throw new Error(`Unknown agent type: ${type}`);
    }
  }

  private parseMemoryLimit(memoryLimit: string): number {
    const match = memoryLimit.match(/^(\d+)(MB|GB)$/i);
    if (!match) {
      throw new Error(`Invalid memory limit format: ${memoryLimit}`);
    }

    const value = parseInt(match[1]);
    const unit = match[2].toUpperCase();

    return unit === 'GB' ? value * 1024 * 1024 * 1024 : value * 1024 * 1024;
  }

  private async createWasmAgent(agent: AgentInstance): Promise<void> {
    // Simulate WASM agent creation
    await new Promise(resolve => setTimeout(resolve, 50));
    
    console.log(`Creating WASM agent ${agent.id} of type ${agent.type}`);
    
    // In a real implementation, this would:
    // 1. Allocate memory for the agent in WASM linear memory
    // 2. Initialize agent-specific data structures
    // 3. Load any required models or configurations
    // 4. Set up communication channels
  }

  // Getter methods for external access
  get isInitialized(): boolean {
    return this.initialized;
  }

  get activeAgents(): number {
    return Array.from(this.agentPool.values()).filter(agent => agent.status === 'busy').length;
  }

  get totalAgents(): number {
    return this.agentPool.size;
  }

  getAgentsByType(type: AgentType): AgentInstance[] {
    return Array.from(this.agentPool.values()).filter(agent => agent.type === type);
  }

  getAgent(agentId: string): AgentInstance | undefined {
    return this.agentPool.get(agentId);
  }
}