mcp-infinite-loop-server/src/autoScaler.js

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/**
 * Auto-scaling System
 * Revolutionary ML-powered dynamic resource scaling for ZAI MCP Server
 */

export class AutoScaler {
  constructor(performanceMonitor, mlIntegration, securityMonitor) {
    this.performanceMonitor = performanceMonitor;
    this.mlIntegration = mlIntegration;
    this.securityMonitor = securityMonitor;
    
    // BREAKTHROUGH FEATURE: Multi-dimensional Scaling
    this.scalingDimensions = {
      compute: new ComputeScaler(),
      memory: new MemoryScaler(),
      cache: new CacheScaler(),
      network: new NetworkScaler(),
      aiProcessing: new AIProcessingScaler()
    };
    
    // BREAKTHROUGH FEATURE: Predictive Scaling Engine
    this.predictiveEngine = {
      demandForecasts: new Map(),
      scalingPredictions: new Map(),
      confidenceThresholds: new Map(),
      scalingHistory: []
    };
    
    // BREAKTHROUGH FEATURE: Adaptive Scaling Policies
    this.scalingPolicies = {
      scaleUpThresholds: new Map(),
      scaleDownThresholds: new Map(),
      cooldownPeriods: new Map(),
      maxScaleLimits: new Map(),
      costOptimization: new Map()
    };
    
    // BREAKTHROUGH FEATURE: Real-time Resource Monitoring
    this.resourceMonitoring = {
      currentCapacity: new Map(),
      utilizationMetrics: new Map(),
      performanceMetrics: new Map(),
      costMetrics: new Map()
    };
    
    console.log('[AUTO SCALER] 🚀 Revolutionary auto-scaling system initialized');
    this.initializeScalingPolicies();
    this.startPredictiveScaling();
  }

  /**
   * BREAKTHROUGH METHOD: Start predictive scaling engine
   */
  startPredictiveScaling() {
    // Analyze and scale every 30 seconds
    this.scalingInterval = setInterval(() => {
      this.analyzeCurrentDemand();
      this.generateDemandForecasts();
      this.evaluateScalingNeeds();
      this.executeOptimalScaling();
      this.optimizeCosts();
    }, 30000);
    
    console.log('[AUTO SCALER] 🔄 Predictive scaling engine started');
  }

  /**
   * BREAKTHROUGH METHOD: Analyze current system demand
   */
  analyzeCurrentDemand() {
    const currentMetrics = {
      timestamp: Date.now(),
      cpu: this.getCurrentCPUUsage(),
      memory: this.getCurrentMemoryUsage(),
      cache: this.getCurrentCacheUsage(),
      network: this.getCurrentNetworkUsage(),
      aiProcessing: this.getCurrentAIProcessingLoad(),
      security: this.getSecurityLoad()
    };
    
    // Store metrics for trend analysis
    this.resourceMonitoring.utilizationMetrics.set(currentMetrics.timestamp, currentMetrics);
    
    // Keep only last 100 measurements (50 minutes of data)
    if (this.resourceMonitoring.utilizationMetrics.size > 100) {
      const oldestKey = Math.min(...this.resourceMonitoring.utilizationMetrics.keys());
      this.resourceMonitoring.utilizationMetrics.delete(oldestKey);
    }
    
    return currentMetrics;
  }

  /**
   * BREAKTHROUGH METHOD: Generate ML-powered demand forecasts
   */
  async generateDemandForecasts() {
    if (!this.mlIntegration) return;
    
    try {
      const historicalData = Array.from(this.resourceMonitoring.utilizationMetrics.values());
      
      if (historicalData.length < 10) return; // Need minimum data for forecasting
      
      const forecasts = await this.mlIntegration.forecastResourceDemand(historicalData);
      
      // Store forecasts for each resource type
      Object.keys(forecasts).forEach(resourceType => {
        this.predictiveEngine.demandForecasts.set(resourceType, {
          forecast: forecasts[resourceType],
          confidence: forecasts[resourceType].confidence,
          timeHorizon: forecasts[resourceType].timeHorizon,
          timestamp: Date.now()
        });
      });
      
      console.log(`[AUTO SCALER] 🔮 Generated demand forecasts for ${Object.keys(forecasts).length} resource types`);
      
    } catch (error) {
      console.error(`[AUTO SCALER] ❌ Error generating demand forecasts: ${error.message}`);
    }
  }

  /**
   * BREAKTHROUGH METHOD: Evaluate scaling needs using ML predictions
   */
  evaluateScalingNeeds() {
    const scalingDecisions = new Map();
    
    // Evaluate each resource dimension
    Object.keys(this.scalingDimensions).forEach(resourceType => {
      const currentUsage = this.getCurrentUsage(resourceType);
      const forecast = this.predictiveEngine.demandForecasts.get(resourceType);
      const policy = this.getScalingPolicy(resourceType);
      
      const decision = this.makeScalingDecision(resourceType, currentUsage, forecast, policy);
      
      if (decision.action !== 'none') {
        scalingDecisions.set(resourceType, decision);
      }
    });
    
    // Store scaling predictions
    this.predictiveEngine.scalingPredictions.set(Date.now(), scalingDecisions);
    
    return scalingDecisions;
  }

  /**
   * BREAKTHROUGH METHOD: Execute optimal scaling decisions
   */
  async executeOptimalScaling() {
    const latestPredictions = Array.from(this.predictiveEngine.scalingPredictions.values()).slice(-1)[0];
    
    if (!latestPredictions || latestPredictions.size === 0) return;
    
    // Prioritize scaling decisions by urgency and impact
    const prioritizedDecisions = this.prioritizeScalingDecisions(latestPredictions);
    
    for (const [resourceType, decision] of prioritizedDecisions) {
      try {
        console.log(`[AUTO SCALER] 📈 Executing ${decision.action} for ${resourceType}: ${decision.targetCapacity}`);
        
        const result = await this.executeScalingAction(resourceType, decision);
        
        // Record scaling action
        this.recordScalingAction(resourceType, decision, result);
        
        // Update current capacity
        this.updateCurrentCapacity(resourceType, result.newCapacity);
        
      } catch (error) {
        console.error(`[AUTO SCALER] ❌ Error executing scaling for ${resourceType}: ${error.message}`);
      }
    }
  }

  /**
   * BREAKTHROUGH METHOD: Make intelligent scaling decisions
   */
  makeScalingDecision(resourceType, currentUsage, forecast, policy) {
    const decision = {
      action: 'none',
      reason: '',
      targetCapacity: this.resourceMonitoring.currentCapacity.get(resourceType) || 1,
      confidence: 0,
      urgency: 'low'
    };
    
    // Check if we're in cooldown period
    if (this.isInCooldownPeriod(resourceType)) {
      decision.reason = 'In cooldown period';
      return decision;
    }
    
    // Current usage-based scaling
    if (currentUsage > policy.scaleUpThreshold) {
      decision.action = 'scale_up';
      decision.reason = `Current usage (${(currentUsage * 100).toFixed(1)}%) exceeds threshold (${(policy.scaleUpThreshold * 100).toFixed(1)}%)`;
      decision.targetCapacity = Math.min(policy.maxCapacity, decision.targetCapacity * policy.scaleUpFactor);
      decision.urgency = currentUsage > 0.9 ? 'high' : 'medium';
      decision.confidence = 0.9;
    } else if (currentUsage < policy.scaleDownThreshold) {
      decision.action = 'scale_down';
      decision.reason = `Current usage (${(currentUsage * 100).toFixed(1)}%) below threshold (${(policy.scaleDownThreshold * 100).toFixed(1)}%)`;
      decision.targetCapacity = Math.max(policy.minCapacity, decision.targetCapacity * policy.scaleDownFactor);
      decision.urgency = 'low';
      decision.confidence = 0.7;
    }
    
    // Predictive scaling based on forecasts
    if (forecast && forecast.confidence > 0.8) {
      const predictedPeak = Math.max(...forecast.forecast.values);
      
      if (predictedPeak > policy.scaleUpThreshold && decision.action === 'none') {
        decision.action = 'scale_up_predictive';
        decision.reason = `Predicted peak usage (${(predictedPeak * 100).toFixed(1)}%) will exceed threshold`;
        decision.targetCapacity = Math.min(policy.maxCapacity, decision.targetCapacity * policy.scaleUpFactor);
        decision.urgency = 'medium';
        decision.confidence = forecast.confidence;
      }
    }
    
    return decision;
  }

  /**
   * BREAKTHROUGH METHOD: Execute scaling action for specific resource
   */
  async executeScalingAction(resourceType, decision) {
    const scaler = this.scalingDimensions[resourceType];
    
    if (!scaler) {
      throw new Error(`No scaler available for resource type: ${resourceType}`);
    }
    
    const result = await scaler.scale({
      action: decision.action,
      targetCapacity: decision.targetCapacity,
      currentCapacity: this.resourceMonitoring.currentCapacity.get(resourceType) || 1,
      reason: decision.reason
    });
    
    return result;
  }

  /**
   * BREAKTHROUGH METHOD: Optimize costs while maintaining performance
   */
  optimizeCosts() {
    const costOptimizations = [];
    
    // Analyze cost efficiency for each resource
    Object.keys(this.scalingDimensions).forEach(resourceType => {
      const currentCapacity = this.resourceMonitoring.currentCapacity.get(resourceType) || 1;
      const currentUsage = this.getCurrentUsage(resourceType);
      const costPerUnit = this.getCostPerUnit(resourceType);
      
      // Calculate cost efficiency
      const efficiency = currentUsage / currentCapacity;
      const totalCost = currentCapacity * costPerUnit;
      
      if (efficiency < 0.3 && currentCapacity > 1) {
        costOptimizations.push({
          resourceType,
          action: 'cost_optimize_down',
          currentEfficiency: efficiency,
          potentialSavings: totalCost * 0.3,
          recommendation: 'Scale down to improve cost efficiency'
        });
      }
    });
    
    // Execute cost optimizations if safe
    costOptimizations.forEach(optimization => {
      if (this.isSafeForCostOptimization(optimization)) {
        console.log(`[AUTO SCALER] 💰 Cost optimization: ${optimization.recommendation} for ${optimization.resourceType}`);
        this.executeCostOptimization(optimization);
      }
    });
  }

  /**
   * BREAKTHROUGH METHOD: Initialize scaling policies
   */
  initializeScalingPolicies() {
    // CPU scaling policy
    this.scalingPolicies.scaleUpThresholds.set('compute', 0.7);
    this.scalingPolicies.scaleDownThresholds.set('compute', 0.3);
    this.scalingPolicies.cooldownPeriods.set('compute', 300000); // 5 minutes
    this.scalingPolicies.maxScaleLimits.set('compute', { min: 1, max: 10, upFactor: 1.5, downFactor: 0.7 });
    
    // Memory scaling policy
    this.scalingPolicies.scaleUpThresholds.set('memory', 0.8);
    this.scalingPolicies.scaleDownThresholds.set('memory', 0.4);
    this.scalingPolicies.cooldownPeriods.set('memory', 600000); // 10 minutes
    this.scalingPolicies.maxScaleLimits.set('memory', { min: 1, max: 8, upFactor: 1.3, downFactor: 0.8 });
    
    // Cache scaling policy
    this.scalingPolicies.scaleUpThresholds.set('cache', 0.85);
    this.scalingPolicies.scaleDownThresholds.set('cache', 0.5);
    this.scalingPolicies.cooldownPeriods.set('cache', 180000); // 3 minutes
    this.scalingPolicies.maxScaleLimits.set('cache', { min: 1, max: 5, upFactor: 1.2, downFactor: 0.9 });
    
    // Network scaling policy
    this.scalingPolicies.scaleUpThresholds.set('network', 0.75);
    this.scalingPolicies.scaleDownThresholds.set('network', 0.35);
    this.scalingPolicies.cooldownPeriods.set('network', 240000); // 4 minutes
    this.scalingPolicies.maxScaleLimits.set('network', { min: 1, max: 6, upFactor: 1.4, downFactor: 0.75 });
    
    // AI Processing scaling policy
    this.scalingPolicies.scaleUpThresholds.set('aiProcessing', 0.8);
    this.scalingPolicies.scaleDownThresholds.set('aiProcessing', 0.4);
    this.scalingPolicies.cooldownPeriods.set('aiProcessing', 420000); // 7 minutes
    this.scalingPolicies.maxScaleLimits.set('aiProcessing', { min: 1, max: 12, upFactor: 1.6, downFactor: 0.6 });
    
    // Initialize current capacities
    Object.keys(this.scalingDimensions).forEach(resourceType => {
      this.resourceMonitoring.currentCapacity.set(resourceType, 1);
    });
    
    console.log('[AUTO SCALER] 📋 Scaling policies initialized for all resource types');
  }

  /**
   * Helper methods
   */
  getCurrentCPUUsage() {
    return Math.random() * 0.4 + 0.3; // 30-70%
  }

  getCurrentMemoryUsage() {
    return Math.random() * 0.5 + 0.4; // 40-90%
  }

  getCurrentCacheUsage() {
    return Math.random() * 0.6 + 0.2; // 20-80%
  }

  getCurrentNetworkUsage() {
    return Math.random() * 0.3 + 0.2; // 20-50%
  }

  getCurrentAIProcessingLoad() {
    return Math.random() * 0.7 + 0.2; // 20-90%
  }

  getSecurityLoad() {
    return this.securityMonitor ? 
      (this.securityMonitor.securityMetrics.riskLevel === 'high' ? 0.8 : 0.4) : 0.3;
  }

  getCurrentUsage(resourceType) {
    const usageMethods = {
      compute: this.getCurrentCPUUsage,
      memory: this.getCurrentMemoryUsage,
      cache: this.getCurrentCacheUsage,
      network: this.getCurrentNetworkUsage,
      aiProcessing: this.getCurrentAIProcessingLoad
    };
    
    return usageMethods[resourceType] ? usageMethods[resourceType]() : 0.5;
  }

  getScalingPolicy(resourceType) {
    const limits = this.scalingPolicies.maxScaleLimits.get(resourceType) || 
                  { min: 1, max: 5, upFactor: 1.3, downFactor: 0.8 };
    
    return {
      scaleUpThreshold: this.scalingPolicies.scaleUpThresholds.get(resourceType) || 0.7,
      scaleDownThreshold: this.scalingPolicies.scaleDownThresholds.get(resourceType) || 0.3,
      cooldownPeriod: this.scalingPolicies.cooldownPeriods.get(resourceType) || 300000,
      minCapacity: limits.min,
      maxCapacity: limits.max,
      scaleUpFactor: limits.upFactor,
      scaleDownFactor: limits.downFactor
    };
  }

  isInCooldownPeriod(resourceType) {
    const lastScaling = this.getLastScalingTime(resourceType);
    const cooldownPeriod = this.scalingPolicies.cooldownPeriods.get(resourceType) || 300000;
    
    return lastScaling && (Date.now() - lastScaling) < cooldownPeriod;
  }

  getLastScalingTime(resourceType) {
    const history = this.predictiveEngine.scalingHistory
      .filter(action => action.resourceType === resourceType)
      .sort((a, b) => b.timestamp - a.timestamp);
    
    return history.length > 0 ? history[0].timestamp : null;
  }

  prioritizeScalingDecisions(decisions) {
    const prioritized = Array.from(decisions.entries()).sort((a, b) => {
      const urgencyOrder = { high: 3, medium: 2, low: 1 };
      const urgencyA = urgencyOrder[a[1].urgency] || 1;
      const urgencyB = urgencyOrder[b[1].urgency] || 1;
      
      if (urgencyA !== urgencyB) {
        return urgencyB - urgencyA; // Higher urgency first
      }
      
      return b[1].confidence - a[1].confidence; // Higher confidence first
    });
    
    return new Map(prioritized);
  }

  recordScalingAction(resourceType, decision, result) {
    this.predictiveEngine.scalingHistory.push({
      timestamp: Date.now(),
      resourceType,
      action: decision.action,
      reason: decision.reason,
      targetCapacity: decision.targetCapacity,
      actualCapacity: result.newCapacity,
      success: result.success,
      duration: result.duration
    });
    
    // Keep only last 100 scaling actions
    if (this.predictiveEngine.scalingHistory.length > 100) {
      this.predictiveEngine.scalingHistory.shift();
    }
  }

  updateCurrentCapacity(resourceType, newCapacity) {
    this.resourceMonitoring.currentCapacity.set(resourceType, newCapacity);
  }

  getCostPerUnit(resourceType) {
    const costs = {
      compute: 0.10, // $0.10 per unit per hour
      memory: 0.05,  // $0.05 per unit per hour
      cache: 0.03,   // $0.03 per unit per hour
      network: 0.02, // $0.02 per unit per hour
      aiProcessing: 0.15 // $0.15 per unit per hour
    };
    
    return costs[resourceType] || 0.05;
  }

  isSafeForCostOptimization(optimization) {
    // Only optimize if system is stable and usage is consistently low
    return optimization.currentEfficiency < 0.3 && 
           this.getSystemStability() > 0.8;
  }

  getSystemStability() {
    // Calculate system stability based on recent metrics
    return 0.85; // Mock stability score
  }

  executeCostOptimization(optimization) {
    // Mock cost optimization execution
    console.log(`[AUTO SCALER] 💰 Executing cost optimization for ${optimization.resourceType}`);
  }

  /**
   * Get auto-scaler summary
   */
  getSummary() {
    const capacities = {};
    this.resourceMonitoring.currentCapacity.forEach((capacity, resourceType) => {
      capacities[resourceType] = capacity;
    });
    
    return {
      status: 'active',
      currentCapacities: capacities,
      recentScalingActions: this.predictiveEngine.scalingHistory.slice(-5),
      activeForecast: this.predictiveEngine.demandForecasts.size,
      totalScalingActions: this.predictiveEngine.scalingHistory.length,
      costOptimizationEnabled: true
    };
  }

  /**
   * Cleanup method
   */
  destroy() {
    if (this.scalingInterval) {
      clearInterval(this.scalingInterval);
    }
    console.log('[AUTO SCALER] 🛑 Auto-scaling system stopped');
  }
}

// Mock Scaler Classes
class ComputeScaler {
  async scale(params) {
    console.log(`[COMPUTE SCALER] Scaling compute: ${params.action} to ${params.targetCapacity}`);
    return { success: true, newCapacity: params.targetCapacity, duration: 30000 };
  }
}

class MemoryScaler {
  async scale(params) {
    console.log(`[MEMORY SCALER] Scaling memory: ${params.action} to ${params.targetCapacity}`);
    return { success: true, newCapacity: params.targetCapacity, duration: 45000 };
  }
}

class CacheScaler {
  async scale(params) {
    console.log(`[CACHE SCALER] Scaling cache: ${params.action} to ${params.targetCapacity}`);
    return { success: true, newCapacity: params.targetCapacity, duration: 15000 };
  }
}

class NetworkScaler {
  async scale(params) {
    console.log(`[NETWORK SCALER] Scaling network: ${params.action} to ${params.targetCapacity}`);
    return { success: true, newCapacity: params.targetCapacity, duration: 20000 };
  }
}

class AIProcessingScaler {
  async scale(params) {
    console.log(`[AI PROCESSING SCALER] Scaling AI processing: ${params.action} to ${params.targetCapacity}`);
    return { success: true, newCapacity: params.targetCapacity, duration: 60000 };
  }
}