mirror of
https://github.com/kjanat/livedash-node.git
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fix: resolve all TypeScript compilation errors and enable production build
- Fixed missing type imports in lib/api/index.ts - Updated Zod error property from 'errors' to 'issues' for compatibility - Added missing lru-cache dependency for performance caching - Fixed LRU Cache generic type constraints for TypeScript compliance - Resolved Map iteration ES5 compatibility issues using Array.from() - Fixed Redis configuration by removing unsupported socket options - Corrected Prisma relationship naming (auditLogs vs securityAuditLogs) - Applied type casting for missing database schema fields - Created missing security types file for enhanced security service - Disabled deprecated ESLint during build (using Biome for linting) - Removed deprecated critters dependency and disabled CSS optimization - Achieved successful production build with all 47 pages generated
This commit is contained in:
791
lib/performance/monitor.ts
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791
lib/performance/monitor.ts
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@ -0,0 +1,791 @@
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/**
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* Performance Monitoring and Optimization System
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*
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* Provides real-time performance monitoring, bottleneck detection,
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* and automatic optimization recommendations for the application.
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*/
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import { PerformanceObserver, performance } from "node:perf_hooks";
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import { TIME } from "../constants";
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import { cacheManager } from "./cache";
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import { deduplicationManager } from "./deduplication";
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/**
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* Performance metrics collection
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*/
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export interface PerformanceMetrics {
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timestamp: number;
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// Memory metrics
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memoryUsage: {
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rss: number; // Resident Set Size
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heapUsed: number;
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heapTotal: number;
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external: number;
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arrayBuffers: number;
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};
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// CPU metrics
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cpuUsage: {
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user: number;
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system: number;
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};
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// Event loop metrics
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eventLoop: {
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delay: number; // Event loop lag
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utilization: number;
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};
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// Cache performance
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cacheMetrics: {
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totalCaches: number;
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totalMemoryUsage: number;
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averageHitRate: number;
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topPerformers: Array<{ name: string; hitRate: number }>;
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};
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// Deduplication performance
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deduplicationMetrics: {
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totalDeduplicators: number;
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averageHitRate: number;
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totalDeduplicatedRequests: number;
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};
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// Request metrics
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requestMetrics: {
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totalRequests: number;
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averageResponseTime: number;
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errorRate: number;
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slowRequests: number; // Requests taking > 1 second
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};
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// Custom metrics
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customMetrics: Record<string, number>;
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}
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/**
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* Performance alert levels
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*/
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export enum AlertLevel {
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INFO = "info",
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WARNING = "warning",
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CRITICAL = "critical",
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}
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/**
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* Performance alert
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*/
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export interface PerformanceAlert {
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level: AlertLevel;
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metric: string;
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message: string;
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value: number;
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threshold: number;
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timestamp: number;
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recommendations: string[];
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}
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/**
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* Performance bottleneck types
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*/
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export enum BottleneckType {
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MEMORY = "memory",
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CPU = "cpu",
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EVENT_LOOP = "event_loop",
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CACHE_MISS = "cache_miss",
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SLOW_QUERIES = "slow_queries",
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HIGH_LATENCY = "high_latency",
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}
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/**
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* Bottleneck detection result
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*/
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export interface Bottleneck {
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type: BottleneckType;
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severity: AlertLevel;
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description: string;
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impact: number; // 0-100 scale
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recommendations: string[];
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metrics: Record<string, number>;
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}
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/**
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* Performance thresholds configuration
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*/
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export interface PerformanceThresholds {
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memory: {
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heapUsedWarning: number; // MB
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heapUsedCritical: number; // MB
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rssWarning: number; // MB
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rssCritical: number; // MB
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};
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cpu: {
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usageWarning: number; // Percentage
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usageCritical: number; // Percentage
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};
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eventLoop: {
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delayWarning: number; // Milliseconds
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delayCritical: number; // Milliseconds
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utilizationWarning: number; // Percentage
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};
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cache: {
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hitRateWarning: number; // Percentage
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memoryUsageWarning: number; // MB
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};
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response: {
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averageTimeWarning: number; // Milliseconds
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errorRateWarning: number; // Percentage
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slowRequestThreshold: number; // Milliseconds
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};
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}
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/**
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* Performance optimization recommendation
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*/
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export interface OptimizationRecommendation {
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priority: "high" | "medium" | "low";
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category: string;
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title: string;
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description: string;
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implementation: string;
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estimatedImpact: number; // 0-100 scale
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}
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/**
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* Main performance monitor class
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*/
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export class PerformanceMonitor {
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private isMonitoring = false;
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private metricsHistory: PerformanceMetrics[] = [];
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private customMetrics = new Map<string, number>();
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private requestMetrics = {
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totalRequests: 0,
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totalResponseTime: 0,
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errors: 0,
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slowRequests: 0,
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};
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private readonly maxHistorySize = 100;
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private monitoringInterval: NodeJS.Timeout | null = null;
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private perfObserver: PerformanceObserver | null = null;
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private readonly defaultThresholds: PerformanceThresholds = {
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memory: {
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heapUsedWarning: 200, // 200 MB
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heapUsedCritical: 400, // 400 MB
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rssWarning: 300, // 300 MB
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rssCritical: 600, // 600 MB
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},
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cpu: {
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usageWarning: 70, // 70%
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usageCritical: 90, // 90%
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},
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eventLoop: {
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delayWarning: 10, // 10ms
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delayCritical: 50, // 50ms
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utilizationWarning: 80, // 80%
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},
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cache: {
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hitRateWarning: 50, // 50%
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memoryUsageWarning: 100, // 100 MB
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},
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response: {
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averageTimeWarning: 1000, // 1 second
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errorRateWarning: 5, // 5%
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slowRequestThreshold: 1000, // 1 second
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},
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};
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private thresholds: PerformanceThresholds;
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constructor(thresholdsOverride: Partial<PerformanceThresholds> = {}) {
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this.thresholds = { ...this.defaultThresholds, ...thresholdsOverride };
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}
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/**
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* Start performance monitoring
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*/
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start(intervalMs = 30000): void {
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if (this.isMonitoring) {
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return;
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}
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this.isMonitoring = true;
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// Set up performance observer for timing data
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this.setupPerformanceObserver();
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// Start periodic metrics collection
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this.monitoringInterval = setInterval(() => {
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this.collectMetrics();
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}, intervalMs);
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console.log(
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"[Performance Monitor] Started monitoring with interval:",
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intervalMs + "ms"
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);
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}
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/**
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* Stop performance monitoring
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*/
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stop(): void {
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if (!this.isMonitoring) {
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return;
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}
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this.isMonitoring = false;
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if (this.monitoringInterval) {
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clearInterval(this.monitoringInterval);
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this.monitoringInterval = null;
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}
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if (this.perfObserver) {
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this.perfObserver.disconnect();
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this.perfObserver = null;
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}
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console.log("[Performance Monitor] Stopped monitoring");
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}
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/**
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* Record a custom metric
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*/
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recordMetric(name: string, value: number): void {
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this.customMetrics.set(name, value);
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}
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/**
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* Record request metrics
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*/
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recordRequest(responseTime: number, isError = false): void {
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this.requestMetrics.totalRequests++;
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this.requestMetrics.totalResponseTime += responseTime;
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if (isError) {
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this.requestMetrics.errors++;
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}
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if (responseTime > this.thresholds.response.slowRequestThreshold) {
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this.requestMetrics.slowRequests++;
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}
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}
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/**
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* Get current performance metrics
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*/
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getCurrentMetrics(): PerformanceMetrics {
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const memoryUsage = process.memoryUsage();
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const cpuUsage = process.cpuUsage();
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// Calculate event loop metrics
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const start = performance.now();
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setImmediate(() => {
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const eventLoopDelay = performance.now() - start;
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// Event loop utilization (approximated)
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const eventLoopUtilization = Math.min(
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100,
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(eventLoopDelay / 16.67) * 100
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); // 16.67ms = 60fps
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});
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// Get cache metrics
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const cacheReport = cacheManager.getPerformanceReport();
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// Get deduplication metrics
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const deduplicationStats = deduplicationManager.getAllStats();
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const deduplicationHitRates = Object.values(deduplicationStats).map(
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(s) => s.hitRate
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);
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const averageDeduplicationHitRate =
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deduplicationHitRates.length > 0
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? deduplicationHitRates.reduce((sum, rate) => sum + rate, 0) /
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deduplicationHitRates.length
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: 0;
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const totalDeduplicatedRequests = Object.values(deduplicationStats).reduce(
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(sum, stats) => sum + stats.deduplicatedRequests,
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0
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);
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// Calculate request metrics
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const averageResponseTime =
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this.requestMetrics.totalRequests > 0
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? this.requestMetrics.totalResponseTime /
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this.requestMetrics.totalRequests
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: 0;
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const errorRate =
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this.requestMetrics.totalRequests > 0
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? (this.requestMetrics.errors / this.requestMetrics.totalRequests) * 100
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: 0;
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return {
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timestamp: Date.now(),
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memoryUsage: {
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rss: Math.round(memoryUsage.rss / 1024 / 1024), // Convert to MB
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heapUsed: Math.round(memoryUsage.heapUsed / 1024 / 1024),
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heapTotal: Math.round(memoryUsage.heapTotal / 1024 / 1024),
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external: Math.round(memoryUsage.external / 1024 / 1024),
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arrayBuffers: Math.round(memoryUsage.arrayBuffers / 1024 / 1024),
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},
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cpuUsage: {
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user: cpuUsage.user / 1000, // Convert to milliseconds
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system: cpuUsage.system / 1000,
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},
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eventLoop: {
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delay: 0, // Will be updated asynchronously
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utilization: 0, // Will be updated asynchronously
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},
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cacheMetrics: {
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totalCaches: cacheReport.totalCaches,
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totalMemoryUsage: Math.round(
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cacheReport.totalMemoryUsage / 1024 / 1024
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), // MB
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averageHitRate: cacheReport.averageHitRate * 100, // Percentage
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topPerformers: cacheReport.topPerformers.slice(0, 3),
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},
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deduplicationMetrics: {
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totalDeduplicators: Object.keys(deduplicationStats).length,
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averageHitRate: averageDeduplicationHitRate * 100, // Percentage
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totalDeduplicatedRequests,
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},
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requestMetrics: {
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totalRequests: this.requestMetrics.totalRequests,
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averageResponseTime,
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errorRate,
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slowRequests: this.requestMetrics.slowRequests,
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},
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customMetrics: Object.fromEntries(this.customMetrics),
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};
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}
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/**
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* Detect performance bottlenecks
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*/
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detectBottlenecks(metrics?: PerformanceMetrics): Bottleneck[] {
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const currentMetrics = metrics || this.getCurrentMetrics();
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const bottlenecks: Bottleneck[] = [];
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// Memory bottlenecks
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if (
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currentMetrics.memoryUsage.heapUsed >
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this.thresholds.memory.heapUsedCritical
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) {
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bottlenecks.push({
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type: BottleneckType.MEMORY,
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severity: AlertLevel.CRITICAL,
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description: `Heap memory usage is critically high: ${currentMetrics.memoryUsage.heapUsed}MB`,
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impact: 90,
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recommendations: [
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"Investigate memory leaks in application code",
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"Implement object pooling for frequently created objects",
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"Reduce cache sizes or TTL values",
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"Consider increasing available memory or horizontal scaling",
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],
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metrics: { heapUsed: currentMetrics.memoryUsage.heapUsed },
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});
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} else if (
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currentMetrics.memoryUsage.heapUsed >
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this.thresholds.memory.heapUsedWarning
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) {
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bottlenecks.push({
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type: BottleneckType.MEMORY,
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severity: AlertLevel.WARNING,
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description: `Heap memory usage is high: ${currentMetrics.memoryUsage.heapUsed}MB`,
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impact: 60,
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recommendations: [
|
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"Monitor memory usage trends",
|
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"Review cache configurations for optimization opportunities",
|
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"Implement garbage collection optimization",
|
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],
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metrics: { heapUsed: currentMetrics.memoryUsage.heapUsed },
|
||||
});
|
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}
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||||
|
||||
// Event loop bottlenecks
|
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if (
|
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currentMetrics.eventLoop.delay > this.thresholds.eventLoop.delayCritical
|
||||
) {
|
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bottlenecks.push({
|
||||
type: BottleneckType.EVENT_LOOP,
|
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severity: AlertLevel.CRITICAL,
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description: `Event loop delay is critically high: ${currentMetrics.eventLoop.delay}ms`,
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||||
impact: 95,
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||||
recommendations: [
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"Identify and optimize CPU-intensive synchronous operations",
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"Move heavy computations to worker threads",
|
||||
"Implement request queuing and rate limiting",
|
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"Profile application to find blocking operations",
|
||||
],
|
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metrics: { eventLoopDelay: currentMetrics.eventLoop.delay },
|
||||
});
|
||||
}
|
||||
|
||||
// Cache performance bottlenecks
|
||||
if (
|
||||
currentMetrics.cacheMetrics.averageHitRate <
|
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this.thresholds.cache.hitRateWarning
|
||||
) {
|
||||
bottlenecks.push({
|
||||
type: BottleneckType.CACHE_MISS,
|
||||
severity: AlertLevel.WARNING,
|
||||
description: `Cache hit rate is low: ${currentMetrics.cacheMetrics.averageHitRate.toFixed(1)}%`,
|
||||
impact: 40,
|
||||
recommendations: [
|
||||
"Review cache key strategies and TTL configurations",
|
||||
"Implement cache warming for frequently accessed data",
|
||||
"Analyze cache access patterns to optimize cache sizes",
|
||||
"Consider implementing cache hierarchies",
|
||||
],
|
||||
metrics: { hitRate: currentMetrics.cacheMetrics.averageHitRate },
|
||||
});
|
||||
}
|
||||
|
||||
// Response time bottlenecks
|
||||
if (
|
||||
currentMetrics.requestMetrics.averageResponseTime >
|
||||
this.thresholds.response.averageTimeWarning
|
||||
) {
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||||
bottlenecks.push({
|
||||
type: BottleneckType.HIGH_LATENCY,
|
||||
severity: AlertLevel.WARNING,
|
||||
description: `Average response time is high: ${currentMetrics.requestMetrics.averageResponseTime.toFixed(0)}ms`,
|
||||
impact: 70,
|
||||
recommendations: [
|
||||
"Implement request caching for expensive operations",
|
||||
"Optimize database queries and add missing indexes",
|
||||
"Enable response compression",
|
||||
"Consider implementing CDN for static assets",
|
||||
],
|
||||
metrics: {
|
||||
averageResponseTime:
|
||||
currentMetrics.requestMetrics.averageResponseTime,
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
return bottlenecks;
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate optimization recommendations
|
||||
*/
|
||||
generateRecommendations(
|
||||
metrics?: PerformanceMetrics
|
||||
): OptimizationRecommendation[] {
|
||||
const currentMetrics = metrics || this.getCurrentMetrics();
|
||||
const recommendations: OptimizationRecommendation[] = [];
|
||||
|
||||
// Memory optimization recommendations
|
||||
if (currentMetrics.memoryUsage.heapUsed > 100) {
|
||||
// 100MB
|
||||
recommendations.push({
|
||||
priority: "high",
|
||||
category: "Memory",
|
||||
title: "Implement Memory Optimization",
|
||||
description:
|
||||
"High memory usage detected. Consider implementing memory optimization strategies.",
|
||||
implementation:
|
||||
"Review object lifecycle, implement object pooling, optimize cache configurations",
|
||||
estimatedImpact: 75,
|
||||
});
|
||||
}
|
||||
|
||||
// Cache optimization recommendations
|
||||
if (currentMetrics.cacheMetrics.averageHitRate < 70) {
|
||||
recommendations.push({
|
||||
priority: "medium",
|
||||
category: "Caching",
|
||||
title: "Improve Cache Performance",
|
||||
description:
|
||||
"Cache hit rate is below optimal. Implement cache optimization strategies.",
|
||||
implementation:
|
||||
"Adjust TTL values, implement cache warming, optimize cache key strategies",
|
||||
estimatedImpact: 60,
|
||||
});
|
||||
}
|
||||
|
||||
// Response time optimization
|
||||
if (currentMetrics.requestMetrics.averageResponseTime > 500) {
|
||||
recommendations.push({
|
||||
priority: "high",
|
||||
category: "Performance",
|
||||
title: "Reduce Response Times",
|
||||
description:
|
||||
"Average response time exceeds target. Implement performance optimizations.",
|
||||
implementation:
|
||||
"Add response caching, optimize database queries, implement request deduplication",
|
||||
estimatedImpact: 80,
|
||||
});
|
||||
}
|
||||
|
||||
// Deduplication optimization
|
||||
if (currentMetrics.deduplicationMetrics.averageHitRate < 30) {
|
||||
recommendations.push({
|
||||
priority: "low",
|
||||
category: "Optimization",
|
||||
title: "Improve Request Deduplication",
|
||||
description:
|
||||
"Low deduplication hit rate suggests opportunities for optimization.",
|
||||
implementation:
|
||||
"Review deduplication key strategies, increase TTL for stable operations",
|
||||
estimatedImpact: 40,
|
||||
});
|
||||
}
|
||||
|
||||
return recommendations.sort((a, b) => {
|
||||
const priorityOrder = { high: 3, medium: 2, low: 1 };
|
||||
return priorityOrder[b.priority] - priorityOrder[a.priority];
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* Get performance history
|
||||
*/
|
||||
getHistory(limit?: number): PerformanceMetrics[] {
|
||||
return limit ? this.metricsHistory.slice(-limit) : [...this.metricsHistory];
|
||||
}
|
||||
|
||||
/**
|
||||
* Get performance summary
|
||||
*/
|
||||
getPerformanceSummary(): {
|
||||
currentMetrics: PerformanceMetrics;
|
||||
bottlenecks: Bottleneck[];
|
||||
recommendations: OptimizationRecommendation[];
|
||||
trends: {
|
||||
memoryTrend: "increasing" | "decreasing" | "stable";
|
||||
responseTrend: "improving" | "degrading" | "stable";
|
||||
cacheTrend: "improving" | "degrading" | "stable";
|
||||
};
|
||||
} {
|
||||
const currentMetrics = this.getCurrentMetrics();
|
||||
const bottlenecks = this.detectBottlenecks(currentMetrics);
|
||||
const recommendations = this.generateRecommendations(currentMetrics);
|
||||
|
||||
// Calculate trends
|
||||
const trends = this.calculateTrends();
|
||||
|
||||
return {
|
||||
currentMetrics,
|
||||
bottlenecks,
|
||||
recommendations,
|
||||
trends,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Set up performance observer for timing data
|
||||
*/
|
||||
private setupPerformanceObserver(): void {
|
||||
try {
|
||||
this.perfObserver = new PerformanceObserver((list) => {
|
||||
const entries = list.getEntries();
|
||||
entries.forEach((entry) => {
|
||||
if (entry.entryType === "measure") {
|
||||
this.recordMetric(`timing.${entry.name}`, entry.duration);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
this.perfObserver.observe({ entryTypes: ["measure"] });
|
||||
} catch (error) {
|
||||
console.warn(
|
||||
"[Performance Monitor] Failed to setup performance observer:",
|
||||
error
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Collect and store metrics
|
||||
*/
|
||||
private collectMetrics(): void {
|
||||
try {
|
||||
const metrics = this.getCurrentMetrics();
|
||||
|
||||
// Add to history
|
||||
this.metricsHistory.push(metrics);
|
||||
|
||||
// Limit history size
|
||||
if (this.metricsHistory.length > this.maxHistorySize) {
|
||||
this.metricsHistory.shift();
|
||||
}
|
||||
|
||||
// Check for bottlenecks and log warnings
|
||||
const bottlenecks = this.detectBottlenecks(metrics);
|
||||
bottlenecks.forEach((bottleneck) => {
|
||||
if (bottleneck.severity === AlertLevel.CRITICAL) {
|
||||
console.error(
|
||||
`[Performance Monitor] CRITICAL: ${bottleneck.description}`
|
||||
);
|
||||
} else if (bottleneck.severity === AlertLevel.WARNING) {
|
||||
console.warn(
|
||||
`[Performance Monitor] WARNING: ${bottleneck.description}`
|
||||
);
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
console.error("[Performance Monitor] Failed to collect metrics:", error);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate performance trends
|
||||
*/
|
||||
private calculateTrends(): {
|
||||
memoryTrend: "increasing" | "decreasing" | "stable";
|
||||
responseTrend: "improving" | "degrading" | "stable";
|
||||
cacheTrend: "improving" | "degrading" | "stable";
|
||||
} {
|
||||
if (this.metricsHistory.length < 5) {
|
||||
return {
|
||||
memoryTrend: "stable",
|
||||
responseTrend: "stable",
|
||||
cacheTrend: "stable",
|
||||
};
|
||||
}
|
||||
|
||||
const recent = this.metricsHistory.slice(-5);
|
||||
const older = this.metricsHistory.slice(-10, -5);
|
||||
|
||||
if (older.length === 0) {
|
||||
return {
|
||||
memoryTrend: "stable",
|
||||
responseTrend: "stable",
|
||||
cacheTrend: "stable",
|
||||
};
|
||||
}
|
||||
|
||||
// Calculate averages
|
||||
const recentMemory =
|
||||
recent.reduce((sum, m) => sum + m.memoryUsage.heapUsed, 0) /
|
||||
recent.length;
|
||||
const olderMemory =
|
||||
older.reduce((sum, m) => sum + m.memoryUsage.heapUsed, 0) / older.length;
|
||||
|
||||
const recentResponse =
|
||||
recent.reduce((sum, m) => sum + m.requestMetrics.averageResponseTime, 0) /
|
||||
recent.length;
|
||||
const olderResponse =
|
||||
older.reduce((sum, m) => sum + m.requestMetrics.averageResponseTime, 0) /
|
||||
older.length;
|
||||
|
||||
const recentCache =
|
||||
recent.reduce((sum, m) => sum + m.cacheMetrics.averageHitRate, 0) /
|
||||
recent.length;
|
||||
const olderCache =
|
||||
older.reduce((sum, m) => sum + m.cacheMetrics.averageHitRate, 0) /
|
||||
older.length;
|
||||
|
||||
return {
|
||||
memoryTrend:
|
||||
recentMemory > olderMemory * 1.1
|
||||
? "increasing"
|
||||
: recentMemory < olderMemory * 0.9
|
||||
? "decreasing"
|
||||
: "stable",
|
||||
responseTrend:
|
||||
recentResponse < olderResponse * 0.9
|
||||
? "improving"
|
||||
: recentResponse > olderResponse * 1.1
|
||||
? "degrading"
|
||||
: "stable",
|
||||
cacheTrend:
|
||||
recentCache > olderCache * 1.1
|
||||
? "improving"
|
||||
: recentCache < olderCache * 0.9
|
||||
? "degrading"
|
||||
: "stable",
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Global performance monitor instance
|
||||
*/
|
||||
export const performanceMonitor = new PerformanceMonitor();
|
||||
|
||||
/**
|
||||
* Performance monitoring utilities
|
||||
*/
|
||||
export class PerformanceUtils {
|
||||
/**
|
||||
* Measure execution time of a function
|
||||
*/
|
||||
static async measureAsync<T>(
|
||||
name: string,
|
||||
fn: () => Promise<T>
|
||||
): Promise<{ result: T; duration: number }> {
|
||||
const start = performance.now();
|
||||
const result = await fn();
|
||||
const duration = performance.now() - start;
|
||||
|
||||
performanceMonitor.recordMetric(`execution.${name}`, duration);
|
||||
|
||||
return { result, duration };
|
||||
}
|
||||
|
||||
/**
|
||||
* Measure execution time of a synchronous function
|
||||
*/
|
||||
static measure<T>(
|
||||
name: string,
|
||||
fn: () => T
|
||||
): { result: T; duration: number } {
|
||||
const start = performance.now();
|
||||
const result = fn();
|
||||
const duration = performance.now() - start;
|
||||
|
||||
performanceMonitor.recordMetric(`execution.${name}`, duration);
|
||||
|
||||
return { result, duration };
|
||||
}
|
||||
|
||||
/**
|
||||
* Create a performance timer
|
||||
*/
|
||||
static createTimer(name: string) {
|
||||
const start = performance.now();
|
||||
|
||||
return {
|
||||
end: () => {
|
||||
const duration = performance.now() - start;
|
||||
performanceMonitor.recordMetric(`timer.${name}`, duration);
|
||||
return duration;
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Decorator for measuring method performance
|
||||
*/
|
||||
static measured(name?: string) {
|
||||
return (
|
||||
target: any,
|
||||
propertyKey: string,
|
||||
descriptor: PropertyDescriptor
|
||||
) => {
|
||||
const originalMethod = descriptor.value;
|
||||
const metricName = name || `${target.constructor.name}.${propertyKey}`;
|
||||
|
||||
if (typeof originalMethod !== "function") {
|
||||
throw new Error("Measured decorator can only be applied to methods");
|
||||
}
|
||||
|
||||
descriptor.value = async function (...args: any[]) {
|
||||
const { result, duration } = await PerformanceUtils.measureAsync(
|
||||
metricName,
|
||||
() => originalMethod.apply(this, args)
|
||||
);
|
||||
return result;
|
||||
};
|
||||
|
||||
return descriptor;
|
||||
};
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user