performance-reporter.ts•4.51 kB
import {
PerformanceMetric,
PerformanceAlert,
PerformanceSummary,
} from '../../types/performance.types.js';
/**
* Performance Reporter - Single responsibility: Generate performance reports
* Simple reporting for MCP-SQL database operations
*/
export class PerformanceReporter {
/**
* Generate performance summary from metrics
*/
generateSummary(
metrics: PerformanceMetric[],
alerts: PerformanceAlert[],
timeRange: string = '1h'
): PerformanceSummary {
if (metrics.length === 0) {
return {
averageCpuUsage: 0,
averageMemoryUsage: 0,
totalQueries: 0,
averageQueryTime: 0,
peakConnections: 0,
errorRate: 0,
timeRange,
};
}
return {
averageCpuUsage: this.calculateAverage(metrics, 'cpuUsage'),
averageMemoryUsage: this.calculateAverage(metrics, 'memoryUsage'),
totalQueries: this.estimateTotalQueries(metrics),
averageQueryTime: this.calculateAverage(metrics, 'avgQueryTime'),
peakConnections: Math.max(...metrics.map(m => m.connectionCount || 0)),
errorRate: this.calculateAverage(metrics, 'errorRate'),
timeRange,
};
}
/**
* Generate simple performance report
*/
generateReport(
metrics: PerformanceMetric[],
alerts: PerformanceAlert[],
timeRange: string = '1h'
): {
summary: PerformanceSummary;
metrics: PerformanceMetric[];
alerts: PerformanceAlert[];
recommendations: string[];
} {
const summary = this.generateSummary(metrics, alerts, timeRange);
const recommendations = this.generateRecommendations(summary, alerts);
return {
summary,
metrics,
alerts,
recommendations,
};
}
/**
* Get connection pool status summary
*/
getConnectionPoolSummary(currentMetric: PerformanceMetric | null): {
totalConnections: number;
activeConnections: number;
utilization: number;
status: 'healthy' | 'warning' | 'critical';
} {
if (!currentMetric) {
return {
totalConnections: 0,
activeConnections: 0,
utilization: 0,
status: 'warning',
};
}
const utilization = currentMetric.connectionPoolUtilization || 0;
let status: 'healthy' | 'warning' | 'critical' = 'healthy';
if (utilization > 90) {
status = 'critical';
} else if (utilization > 75) {
status = 'warning';
}
return {
totalConnections: currentMetric.connectionCount || 0,
activeConnections: currentMetric.activeQueries || 0,
utilization,
status,
};
}
// Private helper methods
private calculateAverage(metrics: PerformanceMetric[], field: keyof PerformanceMetric): number {
const values = metrics.map(m => m[field] as number).filter(v => v !== undefined && v !== null);
if (values.length === 0) return 0;
const sum = values.reduce((acc, val) => acc + val, 0);
return Math.round((sum / values.length) * 100) / 100;
}
private estimateTotalQueries(metrics: PerformanceMetric[]): number {
return metrics.reduce((total, metric) => {
return total + (metric.queryThroughput || 0);
}, 0);
}
private generateRecommendations(
summary: PerformanceSummary,
alerts: PerformanceAlert[]
): string[] {
const recommendations: string[] = [];
const criticalAlerts = alerts.filter(a => a.type === 'critical' && !a.resolved);
// Critical alerts
if (criticalAlerts.length > 0) {
recommendations.push(
`🚨 CRITICAL: ${criticalAlerts.length} critical issues require immediate attention`
);
}
// Performance recommendations
if (summary.averageQueryTime > 1000) {
recommendations.push('⚡ Consider optimizing slow queries or adding database indexes');
}
if (summary.averageCpuUsage > 80) {
recommendations.push(
'🔥 High CPU usage detected. Consider query optimization or scaling resources'
);
}
if (summary.averageMemoryUsage > 85) {
recommendations.push(
'💾 High memory usage detected. Consider adjusting connection pool size'
);
}
if (summary.errorRate > 5) {
recommendations.push(
'❌ High error rate detected. Review database connectivity and query validity'
);
}
// Default recommendation if no issues
if (recommendations.length === 0) {
recommendations.push('✅ Database performance is within acceptable parameters');
}
return recommendations;
}
}