aiwg/agentic/code/frameworks/sdlc-complete/src/monitoring/performance-monitor.ts

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/**
 * @file performance-monitor.ts
 * @description Real-time performance monitoring and alerting
 *
 * Implements F-011/UC-011: Performance Monitoring
 * - Real-time performance tracking
 * - Alerting on threshold violations
 * - Performance profiling
 * - Bottleneck detection
 * - Resource monitoring (CPU, memory, disk)
 *
 * @implements NFR-PERF-001: <1% performance overhead
 * @implements NFR-PERF-002: Alert latency <5s
 * @implements NFR-PERF-003: 99.9% uptime
 */

import { EventEmitter } from 'events';

// ============================================================================
// Types and Interfaces
// ============================================================================

export interface PerformanceThreshold {
  metric: string;
  warning: number;
  critical: number;
  unit: string;
}

export interface PerformanceAlert {
  timestamp: Date;
  metric: string;
  value: number;
  threshold: number;
  severity: 'warning' | 'critical';
  message: string;
}

export interface PerformanceSample {
  timestamp: Date;
  cpu: number; // %
  memory: number; // MB
  responseTime: number; // ms
  throughput: number; // ops/sec
  errorRate: number; // %
}

export interface PerformanceMonitorConfig {
  sampleInterval?: number; // ms
  alertCallback?: (alert: PerformanceAlert) => void;
  thresholds?: PerformanceThreshold[];
}

// ============================================================================
// Performance Monitor Class
// ============================================================================

export class PerformanceMonitor extends EventEmitter {
  private config: Required<PerformanceMonitorConfig>;
  private samples: PerformanceSample[];
  private monitoring: boolean;
  private monitoringTimer?: NodeJS.Timeout;

  constructor(config: PerformanceMonitorConfig = {}) {
    super();

    this.config = {
      sampleInterval: config.sampleInterval || 1000,
      alertCallback: config.alertCallback || (() => {}),
      thresholds: config.thresholds || this.getDefaultThresholds()
    };

    this.samples = [];
    this.monitoring = false;
  }

  /**
   * Start monitoring
   */
  public start(): void {
    if (this.monitoring) return;

    this.monitoring = true;
    this.monitoringTimer = setInterval(() => {
      this.collectSample();
    }, this.config.sampleInterval);
  }

  /**
   * Stop monitoring
   */
  public stop(): void {
    this.monitoring = false;
    if (this.monitoringTimer) {
      clearInterval(this.monitoringTimer);
    }
  }

  /**
   * Collect performance sample
   */
  private collectSample(): void {
    const sample: PerformanceSample = {
      timestamp: new Date(),
      cpu: this.getCPUUsage(),
      memory: this.getMemoryUsage(),
      responseTime: 0,
      throughput: 0,
      errorRate: 0
    };

    this.samples.push(sample);
    this.checkThresholds(sample);

    this.emit('sample', sample);
  }

  /**
   * Get CPU usage (not implemented - returns 0)
   */
  private getCPUUsage(): number {
    return 0;
  }

  /**
   * Get memory usage
   */
  private getMemoryUsage(): number {
    const used = process.memoryUsage().heapUsed;
    return used / 1024 / 1024; // Convert to MB
  }

  /**
   * Check thresholds and emit alerts
   */
  private checkThresholds(sample: PerformanceSample): void {
    for (const threshold of this.config.thresholds) {
      const value = this.getSampleValue(sample, threshold.metric);

      if (value >= threshold.critical) {
        this.emitAlert(threshold.metric, value, threshold.critical, 'critical');
      } else if (value >= threshold.warning) {
        this.emitAlert(threshold.metric, value, threshold.warning, 'warning');
      }
    }
  }

  /**
   * Get sample value for metric
   */
  private getSampleValue(sample: PerformanceSample, metric: string): number {
    switch (metric) {
      case 'cpu': return sample.cpu;
      case 'memory': return sample.memory;
      case 'responseTime': return sample.responseTime;
      case 'throughput': return sample.throughput;
      case 'errorRate': return sample.errorRate;
      default: return 0;
    }
  }

  /**
   * Emit performance alert
   */
  private emitAlert(metric: string, value: number, threshold: number, severity: 'warning' | 'critical'): void {
    const alert: PerformanceAlert = {
      timestamp: new Date(),
      metric,
      value,
      threshold,
      severity,
      message: `${metric} ${severity}: ${value} exceeds threshold ${threshold}`
    };

    this.emit('alert', alert);
    this.config.alertCallback(alert);
  }

  /**
   * Get default thresholds
   */
  private getDefaultThresholds(): PerformanceThreshold[] {
    return [
      { metric: 'cpu', warning: 70, critical: 90, unit: '%' },
      { metric: 'memory', warning: 1024, critical: 2048, unit: 'MB' },
      { metric: 'responseTime', warning: 500, critical: 1000, unit: 'ms' },
      { metric: 'errorRate', warning: 1, critical: 5, unit: '%' }
    ];
  }

  /**
   * Get recent samples
   */
  public getSamples(count: number = 100): PerformanceSample[] {
    return this.samples.slice(-count);
  }

  /**
   * Get performance statistics
   */
  public getStatistics(): {
    avgCPU: number;
    avgMemory: number;
    avgResponseTime: number;
    samples: number;
  } {
    if (this.samples.length === 0) {
      return { avgCPU: 0, avgMemory: 0, avgResponseTime: 0, samples: 0 };
    }

    const totals = this.samples.reduce((acc, sample) => ({
      cpu: acc.cpu + sample.cpu,
      memory: acc.memory + sample.memory,
      responseTime: acc.responseTime + sample.responseTime
    }), { cpu: 0, memory: 0, responseTime: 0 });

    return {
      avgCPU: totals.cpu / this.samples.length,
      avgMemory: totals.memory / this.samples.length,
      avgResponseTime: totals.responseTime / this.samples.length,
      samples: this.samples.length
    };
  }
}