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* Health Monitor Module
*
* Advanced health monitoring system for the BuildHive agent including:
* - System resource monitoring
* - Performance metrics tracking
* - Predictive health analysis
* - Automated recovery actions
*
* Requirements: 6.1
*/
import * as os from 'os';
import * as fs from 'fs';
import * as path from 'path';
import { EventEmitter } from 'events';
import { createLogger } from './utils/logger.js';
const logger = createLogger('health-monitor');
export interface HealthMetrics {
timestamp: Date;
system: {
cpuUsage: number;
memoryUsage: number;
diskUsage: number;
loadAverage: number[];
uptime: number;
networkConnections: number;
};
process: {
memoryUsage: NodeJS.MemoryUsage;
cpuUsage: NodeJS.CpuUsage;
uptime: number;
activeHandles: number;
activeRequests: number;
};
application: {
activeJobs: number;
jobSuccessRate: number;
averageJobDuration: number;
errorRate: number;
responseTime: number;
};
}
export interface HealthThresholds {
cpu: { warning: number; critical: number };
memory: { warning: number; critical: number };
disk: { warning: number; critical: number };
errorRate: { warning: number; critical: number };
responseTime: { warning: number; critical: number };
}
export interface HealthAlert {
id: string;
severity: 'info' | 'warning' | 'critical';
category: 'system' | 'process' | 'application';
metric: string;
message: string;
value: number;
threshold: number;
timestamp: Date;
resolved?: Date;
}
export interface HealthTrend {
metric: string;
direction: 'improving' | 'stable' | 'degrading';
confidence: number; // 0-100
prediction: {
nextValue: number;
timeToThreshold?: number; // seconds
};
}
export class HealthMonitor extends EventEmitter {
private thresholds: HealthThresholds;
private metrics: HealthMetrics[] = [];
private alerts: Map<string, HealthAlert> = new Map();
private monitoringInterval: NodeJS.Timeout | null = null;
private isMonitoring = false;
private maxMetricsHistory = 1000;
private jobStats: Array<{ duration: number; success: boolean; timestamp: Date }> = [];
constructor(thresholds?: Partial<HealthThresholds>) {
super();
this.thresholds = {
cpu: { warning: 70, critical: 90 },
memory: { warning: 80, critical: 95 },
disk: { warning: 85, critical: 95 },
errorRate: { warning: 10, critical: 25 },
responseTime: { warning: 30, critical: 60 },
...thresholds
};
}
/**
* Start health monitoring
*/
start(intervalSeconds: number = 30): void {
if (this.isMonitoring) {
logger.warn('Health monitoring is already running');
return;
}
logger.info('Starting health monitoring', {
interval: intervalSeconds,
thresholds: this.thresholds
});
this.isMonitoring = true;
// Perform initial health check
this.collectMetrics().catch(error => {
logger.error('Initial health check failed:', error);
});
// Schedule periodic monitoring
this.monitoringInterval = setInterval(async () => {
try {
await this.collectMetrics();
await this.analyzeHealth();
await this.checkForRecovery();
} catch (error) {
logger.error('Health monitoring cycle failed:', error);
}
}, intervalSeconds * 1000);
this.emit('started');
}
/**
* Stop health monitoring
*/
stop(): void {
if (this.monitoringInterval) {
clearInterval(this.monitoringInterval);
this.monitoringInterval = null;
}
this.isMonitoring = false;
logger.info('Health monitoring stopped');
this.emit('stopped');
}
/**
* Get current health status
*/
getCurrentHealth(): {
status: 'healthy' | 'warning' | 'critical';
metrics: HealthMetrics | null;
activeAlerts: HealthAlert[];
trends: HealthTrend[];
score: number; // 0-100
} {
const latestMetrics = this.metrics[this.metrics.length - 1] || null;
const activeAlerts = Array.from(this.alerts.values()).filter(alert => !alert.resolved);
const trends = this.calculateTrends();
const status = this.determineOverallStatus(activeAlerts);
const score = this.calculateHealthScore(latestMetrics, activeAlerts);
return {
status,
metrics: latestMetrics,
activeAlerts,
trends,
score
};
}
/**
* Record job execution for health tracking
*/
recordJobExecution(duration: number, success: boolean): void {
this.jobStats.push({
duration,
success,
timestamp: new Date()
});
// Keep only recent job stats
const oneHourAgo = new Date(Date.now() - 60 * 60 * 1000);
this.jobStats = this.jobStats.filter(stat => stat.timestamp > oneHourAgo);
}
/**
* Get health history
*/
getHealthHistory(hours: number = 24): HealthMetrics[] {
const cutoff = new Date(Date.now() - hours * 60 * 60 * 1000);
return this.metrics.filter(metric => metric.timestamp > cutoff);
}
/**
* Get alert history
*/
getAlertHistory(hours: number = 24): HealthAlert[] {
const cutoff = new Date(Date.now() - hours * 60 * 60 * 1000);
return Array.from(this.alerts.values()).filter(alert => alert.timestamp > cutoff);
}
/**
* Update health thresholds
*/
updateThresholds(newThresholds: Partial<HealthThresholds>): void {
this.thresholds = { ...this.thresholds, ...newThresholds };
logger.info('Health thresholds updated', this.thresholds);
this.emit('thresholdsUpdated', this.thresholds);
}
/**
* Collect comprehensive health metrics
*/
private async collectMetrics(): Promise<void> {
try {
const timestamp = new Date();
// System metrics
const systemMetrics = await this.collectSystemMetrics();
// Process metrics
const processMetrics = this.collectProcessMetrics();
// Application metrics
const applicationMetrics = this.collectApplicationMetrics();
const metrics: HealthMetrics = {
timestamp,
system: systemMetrics,
process: processMetrics,
application: applicationMetrics
};
this.metrics.push(metrics);
// Maintain metrics history limit
if (this.metrics.length > this.maxMetricsHistory) {
this.metrics = this.metrics.slice(-this.maxMetricsHistory);
}
this.emit('metricsCollected', metrics);
} catch (error) {
logger.error('Failed to collect health metrics:', error);
throw error;
}
}
/**
* Collect system-level metrics
*/
private async collectSystemMetrics(): Promise<HealthMetrics['system']> {
const cpuUsage = await this.getCpuUsage();
const memoryUsage = this.getMemoryUsage();
const diskUsage = await this.getDiskUsage();
const loadAverage = os.loadavg();
const uptime = os.uptime();
const networkConnections = await this.getNetworkConnections();
return {
cpuUsage,
memoryUsage,
diskUsage,
loadAverage,
uptime,
networkConnections
};
}
/**
* Collect process-level metrics
*/
private collectProcessMetrics(): HealthMetrics['process'] {
const memoryUsage = process.memoryUsage();
const cpuUsage = process.cpuUsage();
const uptime = process.uptime();
// Get active handles and requests (Node.js specific)
const activeHandles = (process as any)._getActiveHandles?.()?.length || 0;
const activeRequests = (process as any)._getActiveRequests?.()?.length || 0;
return {
memoryUsage,
cpuUsage,
uptime,
activeHandles,
activeRequests
};
}
/**
* Collect application-level metrics
*/
private collectApplicationMetrics(): HealthMetrics['application'] {
const recentJobs = this.jobStats.filter(job =>
Date.now() - job.timestamp.getTime() < 60 * 60 * 1000 // Last hour
);
const totalJobs = recentJobs.length;
const successfulJobs = recentJobs.filter(job => job.success).length;
const jobSuccessRate = totalJobs > 0 ? (successfulJobs / totalJobs) * 100 : 100;
const errorRate = 100 - jobSuccessRate;
const averageJobDuration = totalJobs > 0 ?
recentJobs.reduce((sum, job) => sum + job.duration, 0) / totalJobs : 0;
// Mock response time - in real implementation, this would track API response times
const responseTime = Math.random() * 10 + 5; // 5-15 seconds
return {
activeJobs: 0, // Would be tracked by the agent
jobSuccessRate,
averageJobDuration,
errorRate,
responseTime
};
}
/**
* Analyze health and generate alerts
*/
private async analyzeHealth(): Promise<void> {
const latestMetrics = this.metrics[this.metrics.length - 1];
if (!latestMetrics) return;
// Check CPU usage
this.checkThreshold('cpu', latestMetrics.system.cpuUsage, this.thresholds.cpu, 'system');
// Check memory usage
this.checkThreshold('memory', latestMetrics.system.memoryUsage, this.thresholds.memory, 'system');
// Check disk usage
this.checkThreshold('disk', latestMetrics.system.diskUsage, this.thresholds.disk, 'system');
// Check error rate
this.checkThreshold('errorRate', latestMetrics.application.errorRate, this.thresholds.errorRate, 'application');
// Check response time
this.checkThreshold('responseTime', latestMetrics.application.responseTime, this.thresholds.responseTime, 'application');
// Check for memory leaks
this.checkMemoryLeak(latestMetrics);
// Check for performance degradation
this.checkPerformanceDegradation();
}
/**
* Check a metric against thresholds
*/
private checkThreshold(
metric: string,
value: number,
threshold: { warning: number; critical: number },
category: HealthAlert['category']
): void {
const alertId = `${category}-${metric}`;
const existingAlert = this.alerts.get(alertId);
if (value >= threshold.critical) {
if (!existingAlert || existingAlert.severity !== 'critical') {
this.createAlert(alertId, 'critical', category, metric, value, threshold.critical);
}
} else if (value >= threshold.warning) {
if (!existingAlert || existingAlert.severity !== 'warning') {
this.createAlert(alertId, 'warning', category, metric, value, threshold.warning);
}
} else if (existingAlert && !existingAlert.resolved) {
// Resolve existing alert
this.resolveAlert(alertId);
}
}
/**
* Check for memory leaks
*/
private checkMemoryLeak(metrics: HealthMetrics): void {
if (this.metrics.length < 10) return; // Need enough history
const recentMetrics = this.metrics.slice(-10);
const memoryTrend = this.calculateLinearTrend(
recentMetrics.map(m => m.process.memoryUsage.heapUsed)
);
// If memory is consistently growing and above threshold
if (memoryTrend.slope > 1024 * 1024 && metrics.process.memoryUsage.heapUsed > 200 * 1024 * 1024) { // 1MB/check, 200MB total
this.createAlert(
'memory-leak',
'warning',
'process',
'memoryLeak',
metrics.process.memoryUsage.heapUsed,
200 * 1024 * 1024
);
}
}
/**
* Check for performance degradation
*/
private checkPerformanceDegradation(): void {
if (this.jobStats.length < 10) return;
const recentJobs = this.jobStats.slice(-10);
const olderJobs = this.jobStats.slice(-20, -10);
if (olderJobs.length === 0) return;
const recentAvgDuration = recentJobs.reduce((sum, job) => sum + job.duration, 0) / recentJobs.length;
const olderAvgDuration = olderJobs.reduce((sum, job) => sum + job.duration, 0) / olderJobs.length;
// If recent jobs are taking 50% longer on average
if (recentAvgDuration > olderAvgDuration * 1.5) {
this.createAlert(
'performance-degradation',
'warning',
'application',
'jobDuration',
recentAvgDuration,
olderAvgDuration * 1.5
);
}
}
/**
* Create a new alert
*/
private createAlert(
id: string,
severity: HealthAlert['severity'],
category: HealthAlert['category'],
metric: string,
value: number,
threshold: number
): void {
const alert: HealthAlert = {
id,
severity,
category,
metric,
message: this.generateAlertMessage(metric, value, threshold, severity),
value,
threshold,
timestamp: new Date()
};
this.alerts.set(id, alert);
logger.warn(`Health alert created: ${alert.message}`, {
id,
severity,
category,
metric,
value,
threshold
});
this.emit('alert', alert);
// Trigger recovery actions for critical alerts
if (severity === 'critical') {
this.triggerRecoveryAction(alert);
}
}
/**
* Resolve an alert
*/
private resolveAlert(id: string): void {
const alert = this.alerts.get(id);
if (alert && !alert.resolved) {
alert.resolved = new Date();
logger.info(`Health alert resolved: ${alert.message}`, { id });
this.emit('alertResolved', alert);
}
}
/**
* Generate alert message
*/
private generateAlertMessage(metric: string, value: number, threshold: number, severity: string): string {
const formatValue = (val: number) => {
if (metric.includes('memory') || metric.includes('Memory')) {
return `${(val / 1024 / 1024).toFixed(1)}MB`;
}
if (metric.includes('Usage') || metric.includes('Rate')) {
return `${val.toFixed(1)}%`;
}
return val.toFixed(1);
};
return `${severity.toUpperCase()}: ${metric} is ${formatValue(value)} (threshold: ${formatValue(threshold)})`;
}
/**
* Calculate trends for metrics
*/
private calculateTrends(): HealthTrend[] {
if (this.metrics.length < 5) return [];
const trends: HealthTrend[] = [];
const recentMetrics = this.metrics.slice(-10);
// CPU trend
const cpuValues = recentMetrics.map(m => m.system.cpuUsage);
const cpuTrend = this.calculateLinearTrend(cpuValues);
trends.push(this.createTrend('cpu', cpuTrend, this.thresholds.cpu.warning));
// Memory trend
const memoryValues = recentMetrics.map(m => m.system.memoryUsage);
const memoryTrend = this.calculateLinearTrend(memoryValues);
trends.push(this.createTrend('memory', memoryTrend, this.thresholds.memory.warning));
// Error rate trend
const errorValues = recentMetrics.map(m => m.application.errorRate);
const errorTrend = this.calculateLinearTrend(errorValues);
trends.push(this.createTrend('errorRate', errorTrend, this.thresholds.errorRate.warning));
return trends;
}
/**
* Create trend analysis
*/
private createTrend(metric: string, trend: { slope: number; r2: number }, threshold: number): HealthTrend {
const direction: HealthTrend['direction'] =
Math.abs(trend.slope) < 0.1 ? 'stable' :
trend.slope > 0 ? 'degrading' : 'improving';
const confidence = Math.min(100, trend.r2 * 100);
// Predict next value (simplified)
const currentValue = this.metrics[this.metrics.length - 1];
const nextValue = this.getMetricValue(currentValue, metric) + trend.slope;
// Calculate time to threshold
let timeToThreshold: number | undefined;
if (direction === 'degrading' && trend.slope > 0) {
const currentVal = this.getMetricValue(currentValue, metric);
if (currentVal < threshold) {
timeToThreshold = Math.max(0, (threshold - currentVal) / trend.slope * 30); // 30 seconds per data point
}
}
return {
metric,
direction,
confidence,
prediction: {
nextValue,
timeToThreshold
}
};
}
/**
* Get metric value from health metrics
*/
private getMetricValue(metrics: HealthMetrics, metric: string): number {
switch (metric) {
case 'cpu': return metrics.system.cpuUsage;
case 'memory': return metrics.system.memoryUsage;
case 'disk': return metrics.system.diskUsage;
case 'errorRate': return metrics.application.errorRate;
case 'responseTime': return metrics.application.responseTime;
default: return 0;
}
}
/**
* Calculate linear trend
*/
private calculateLinearTrend(values: number[]): { slope: number; r2: number } {
if (values.length < 2) return { slope: 0, r2: 0 };
const n = values.length;
const x = Array.from({ length: n }, (_, i) => i);
const y = values;
const sumX = x.reduce((a, b) => a + b, 0);
const sumY = y.reduce((a, b) => a + b, 0);
const sumXY = x.reduce((sum, xi, i) => sum + xi * y[i], 0);
const sumXX = x.reduce((sum, xi) => sum + xi * xi, 0);
const sumYY = y.reduce((sum, yi) => sum + yi * yi, 0);
const slope = (n * sumXY - sumX * sumY) / (n * sumXX - sumX * sumX);
const intercept = (sumY - slope * sumX) / n;
// Calculate R-squared
const yMean = sumY / n;
const ssRes = y.reduce((sum, yi, i) => {
const predicted = slope * x[i] + intercept;
return sum + Math.pow(yi - predicted, 2);
}, 0);
const ssTot = y.reduce((sum, yi) => sum + Math.pow(yi - yMean, 2), 0);
const r2 = ssTot === 0 ? 1 : 1 - (ssRes / ssTot);
return { slope, r2: Math.max(0, r2) };
}
/**
* Determine overall health status
*/
private determineOverallStatus(alerts: HealthAlert[]): 'healthy' | 'warning' | 'critical' {
if (alerts.some(alert => alert.severity === 'critical')) {
return 'critical';
}
if (alerts.some(alert => alert.severity === 'warning')) {
return 'warning';
}
return 'healthy';
}
/**
* Calculate overall health score
*/
private calculateHealthScore(metrics: HealthMetrics | null, alerts: HealthAlert[]): number {
if (!metrics) return 0;
let score = 100;
// Deduct points for active alerts
alerts.forEach(alert => {
if (alert.severity === 'critical') {
score -= 30;
} else if (alert.severity === 'warning') {
score -= 15;
}
});
// Deduct points based on metric values
score -= Math.max(0, (metrics.system.cpuUsage - 50) / 2);
score -= Math.max(0, (metrics.system.memoryUsage - 60) / 2);
score -= Math.max(0, (metrics.application.errorRate - 5) * 2);
return Math.max(0, Math.min(100, score));
}
/**
* Trigger recovery actions for critical alerts
*/
private triggerRecoveryAction(alert: HealthAlert): void {
logger.info(`Triggering recovery action for critical alert: ${alert.metric}`);
switch (alert.metric) {
case 'memory':
this.triggerGarbageCollection();
break;
case 'cpu':
this.reduceProcessingLoad();
break;
case 'disk':
this.cleanupTempFiles();
break;
default:
logger.debug(`No specific recovery action for metric: ${alert.metric}`);
}
this.emit('recoveryAction', { alert, action: alert.metric });
}
/**
* Check for alert recovery
*/
private async checkForRecovery(): Promise<void> {
// This would implement logic to check if critical conditions have improved
// and potentially restart services or take other recovery actions
}
/**
* Recovery action implementations
*/
private triggerGarbageCollection(): void {
if (global.gc) {
global.gc();
logger.info('Garbage collection triggered');
}
}
private reduceProcessingLoad(): void {
// This would implement logic to reduce CPU load
logger.info('Processing load reduction triggered');
}
private cleanupTempFiles(): void {
// This would implement logic to clean up temporary files
logger.info('Temporary file cleanup triggered');
}
/**
* System metric collection helpers
*/
private async getCpuUsage(): Promise<number> {
// Simple CPU usage calculation
const startUsage = process.cpuUsage();
await new Promise(resolve => setTimeout(resolve, 100));
const endUsage = process.cpuUsage(startUsage);
const totalUsage = endUsage.user + endUsage.system;
return (totalUsage / 100000) / os.cpus().length; // Convert to percentage
}
private getMemoryUsage(): number {
const totalMem = os.totalmem();
const freeMem = os.freemem();
return ((totalMem - freeMem) / totalMem) * 100;
}
private async getDiskUsage(): Promise<number> {
try {
const stats = fs.statSync(process.cwd());
// This is a simplified implementation
// In practice, you'd use a library like 'diskusage' or system commands
return Math.random() * 100; // Mock value
} catch (error) {
return 0;
}
}
private async getNetworkConnections(): Promise<number> {
// This would count active network connections
// For now, return a mock value
return Math.floor(Math.random() * 50);
}
} |