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schemantic

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A fully typed, extensible TypeScript type generator for FastAPI OpenAPI schemas

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"use strict"; /** * Advanced Performance Monitoring Plugin * * Implements sophisticated performance tracking, bundle size optimization, * and intelligent monitoring for generated API clients and types. * * Key Features: * - Request timing collection with statistical analysis * - Bundle size analysis and optimization recommendations * - Memory usage profiling and leak detection * - Performance regression detection * - Automated optimization suggestions * * Architecture: * - Non-intrusive performance instrumentation * - Statistical analysis with percentile calculations * - Memory-efficient metrics storage with TTL * - Configurable monitoring thresholds */ Object.defineProperty(exports, "__esModule", { value: true }); exports.performanceAnalyzer = exports.performanceMonitoringPlugin = void 0; exports.getPerformanceMonitoringStats = getPerformanceMonitoringStats; exports.clearPerformanceMonitoringCache = clearPerformanceMonitoringCache; exports.generatePerformanceReport = generatePerformanceReport; /** * Performance monitoring storage */ const performanceMetrics = new Map(); const bundleAnalysisCache = new Map(); const memorySnapshots = []; /** * Performance statistics calculator */ class PerformanceAnalyzer { constructor(maxSnapshots = 1000) { this.maxSnapshots = maxSnapshots; } recordMetric(metric) { const key = metric.operation; if (!performanceMetrics.has(key)) { performanceMetrics.set(key, []); } const metrics = performanceMetrics.get(key); metrics.push(metric); // Maintain memory bounds if (metrics.length > this.maxSnapshots) { metrics.splice(0, metrics.length - this.maxSnapshots); } } getStatistics(operation) { const metrics = performanceMetrics.get(operation); if (!metrics || metrics.length === 0) { return null; } const durations = metrics.map((m) => m.duration).sort((a, b) => a - b); const count = durations.length; return { count, min: durations[0], max: durations[count - 1], mean: durations.reduce((sum, d) => sum + d, 0) / count, median: this.getPercentile(durations, 50), p95: this.getPercentile(durations, 95), p99: this.getPercentile(durations, 99), standardDeviation: this.calculateStandardDeviation(durations), }; } getPercentile(sortedArray, percentile) { const index = (percentile / 100) * (sortedArray.length - 1); const lower = Math.floor(index); const upper = Math.ceil(index); const weight = index % 1; return sortedArray[lower] * (1 - weight) + sortedArray[upper] * weight; } calculateStandardDeviation(values) { const mean = values.reduce((sum, val) => sum + val, 0) / values.length; const squaredDifferences = values.map((val) => Math.pow(val - mean, 2)); const variance = squaredDifferences.reduce((sum, val) => sum + val, 0) / values.length; return Math.sqrt(variance); } recordMemorySnapshot() { if (typeof process !== "undefined" && process.memoryUsage) { const usage = process.memoryUsage(); memorySnapshots.push({ heapUsed: usage.heapUsed, heapTotal: usage.heapTotal, external: usage.external, arrayBuffers: usage.arrayBuffers || 0, }); // Maintain memory bounds if (memorySnapshots.length > this.maxSnapshots) { memorySnapshots.splice(0, memorySnapshots.length - this.maxSnapshots); } } } analyzeBundleSize(generatedContent, dependencies) { const totalSize = Buffer.byteLength(generatedContent, "utf8"); const chunks = dependencies.map((dep) => ({ name: dep, size: Math.floor(totalSize * 0.1), // Estimate dependencies: [], })); const recommendations = []; if (totalSize > 100000) { // 100KB recommendations.push("Consider code splitting for large bundles"); } if (dependencies.length > 20) { recommendations.push("High dependency count may impact bundle size"); } return { totalSize, chunks, recommendations, }; } generateReport(format = "json") { const data = { timestamp: new Date().toISOString(), metrics: this.getAllStatistics(), memory: this.getMemoryAnalysis(), bundles: Array.from(bundleAnalysisCache.entries()), }; switch (format) { case "html": return this.generateHTMLReport(data); case "markdown": return this.generateMarkdownReport(data); default: return JSON.stringify(data, null, 2); } } getAllStatistics() { const stats = {}; for (const operation of performanceMetrics.keys()) { const stat = this.getStatistics(operation); if (stat) { stats[operation] = stat; } } return stats; } /** * Get all statistics (public method) */ getAllStats() { return this.getAllStatistics(); } getMemoryAnalysis() { if (memorySnapshots.length === 0) { return { current: { heapUsed: 0, heapTotal: 0, external: 0, arrayBuffers: 0 }, peak: { heapUsed: 0, heapTotal: 0, external: 0, arrayBuffers: 0 }, trend: "stable", }; } const current = memorySnapshots[memorySnapshots.length - 1]; const peak = memorySnapshots.reduce((max, snapshot) => ({ heapUsed: Math.max(max.heapUsed, snapshot.heapUsed), heapTotal: Math.max(max.heapTotal, snapshot.heapTotal), external: Math.max(max.external, snapshot.external), arrayBuffers: Math.max(max.arrayBuffers, snapshot.arrayBuffers), })); // Calculate trend (simplified) const recent = memorySnapshots.slice(-10); const trend = recent.length > 5 ? recent[recent.length - 1].heapUsed > recent[0].heapUsed ? "increasing" : "decreasing" : "stable"; return { current, peak, trend }; } generateHTMLReport(data) { return ` <!DOCTYPE html> <html> <head> <title>Schemantic Performance Report</title> <style> body { font-family: Arial, sans-serif; margin: 20px; } .metric { background: #f5f5f5; padding: 10px; margin: 10px 0; border-radius: 5px; } .warning { background: #fff3cd; border-left: 4px solid #ffc107; } .success { background: #d1edff; border-left: 4px solid #0066cc; } </style> </head> <body> <h1>Schemantic Performance Report</h1> <p>Generated: ${data.timestamp}</p> <pre>${JSON.stringify(data, null, 2)}</pre> </body> </html>`; } generateMarkdownReport(data) { let markdown = `# Schemantic Performance Report\n\n`; markdown += `Generated: ${data.timestamp}\n\n`; markdown += `## Performance Metrics\n\n`; for (const [operation, stats] of Object.entries(data.metrics)) { markdown += `### ${operation}\n`; markdown += `- Count: ${stats.count}\n`; markdown += `- Mean: ${stats.mean.toFixed(2)}ms\n`; markdown += `- P95: ${stats.p95.toFixed(2)}ms\n`; markdown += `- P99: ${stats.p99.toFixed(2)}ms\n\n`; } return markdown; } clearMetrics() { performanceMetrics.clear(); bundleAnalysisCache.clear(); memorySnapshots.length = 0; } } /** * Global performance analyzer instance */ const performanceAnalyzer = new PerformanceAnalyzer(); exports.performanceAnalyzer = performanceAnalyzer; /** * Advanced Performance Monitoring Plugin Implementation */ exports.performanceMonitoringPlugin = { name: "performance-monitoring", version: "0.1.0", description: "Advanced performance monitoring with statistical analysis and optimization recommendations", /** * Initialize performance monitoring before generation */ beforeGeneration: async (context) => { const startTime = performance.now(); const options = getPluginOptions(context); try { if (options.enableMemoryProfiling) { performanceAnalyzer.recordMemorySnapshot(); } // Initialize monitoring context context.generatedTypes.set("__performance_context__", { name: "__performance_context__", content: "", dependencies: [], exports: [], isInterface: false, isEnum: false, isUnion: false, sourceSchema: {}, }); } catch (error) { console.warn("Performance monitoring plugin beforeGeneration failed:", error); } finally { const endTime = performance.now(); performanceAnalyzer.recordMetric({ timestamp: Date.now(), operation: "beforeGeneration", duration: endTime - startTime, metadata: { totalSchemas: context.resolvedSchemas.size }, }); } }, /** * Monitor type generation performance */ afterTypeGeneration: async (typeName, generatedType, context) => { const startTime = performance.now(); const options = getPluginOptions(context); try { if (options.enableBundleAnalysis) { const analysis = performanceAnalyzer.analyzeBundleSize(generatedType.content, generatedType.dependencies); bundleAnalysisCache.set(typeName, analysis); } // Add performance monitoring code to generated types if (options.enableRequestTiming) { const monitoringCode = generateTypeMonitoringCode(typeName, options); generatedType.content += monitoringCode; } // Check for performance warnings const contentSize = Buffer.byteLength(generatedType.content, "utf8"); if (options.warningThresholds?.bundleSize && contentSize > options.warningThresholds.bundleSize) { console.warn(`Type ${typeName} exceeds bundle size threshold: ${contentSize} bytes`); } } catch (error) { console.warn(`Performance monitoring plugin afterTypeGeneration failed for ${typeName}:`, error); } finally { const endTime = performance.now(); performanceAnalyzer.recordMetric({ timestamp: Date.now(), operation: "typeGeneration", duration: endTime - startTime, metadata: { typeName, contentSize: Buffer.byteLength(generatedType.content, "utf8"), dependencyCount: generatedType.dependencies.length, }, }); } }, /** * Monitor API client generation performance and add instrumentation */ afterClientGeneration: async (generatedClient, context) => { const startTime = performance.now(); const options = getPluginOptions(context); try { if (options.enableRequestTiming) { // Add performance monitoring middleware to client const monitoringMiddleware = generateClientMonitoringCode(generatedClient, options); generatedClient.content += monitoringMiddleware; } // Analyze bundle and generate recommendations if (options.enableBundleAnalysis) { const analysis = performanceAnalyzer.analyzeBundleSize(generatedClient.content, generatedClient.dependencies); bundleAnalysisCache.set(generatedClient.name, analysis); // Add recommendations as comments if (analysis.recommendations.length > 0) { const recommendationsComment = `\n/**\n * Performance Recommendations:\n${analysis.recommendations .map((rec) => ` * - ${rec}`) .join("\n")}\n */\n`; generatedClient.content = recommendationsComment + generatedClient.content; } } // Update dependencies with monitoring tools if (!generatedClient.dependencies.includes("performance-hooks")) { generatedClient.dependencies.push("performance-hooks"); } // Add performance exports generatedClient.exports.push("PerformanceMonitor", "getPerformanceStats", "clearPerformanceStats"); } catch (error) { console.warn("Performance monitoring plugin afterClientGeneration failed:", error); } finally { const endTime = performance.now(); performanceAnalyzer.recordMetric({ timestamp: Date.now(), operation: "clientGeneration", duration: endTime - startTime, metadata: { clientName: generatedClient.name, endpointCount: generatedClient.endpoints.length, contentSize: Buffer.byteLength(generatedClient.content, "utf8"), }, }); } }, /** * Generate final performance report after generation */ afterGeneration: async (context) => { const options = getPluginOptions(context); try { if (options.generateReports) { const report = performanceAnalyzer.generateReport(options.reportFormat); if (!report) { // console.log("No performance data to generate report."); } // Output report (in a real implementation, this would write to file) // console.log("Performance Report Generated:", { // format: options.reportFormat, // size: report.length, // }); } // Record final memory snapshot if (options.enableMemoryProfiling) { performanceAnalyzer.recordMemorySnapshot(); } // Detect performance regressions if (options.enableRegressionDetection) { detectPerformanceRegressions(options); } } catch (error) { console.warn("Performance monitoring plugin afterGeneration failed:", error); } }, }; /** * Get plugin options from generation context */ function getPluginOptions(context) { const pluginConfig = context.config.plugins?.find((p) => p.name === "performance-monitoring"); return { enableRequestTiming: true, enableBundleAnalysis: true, enableMemoryProfiling: true, enableRegressionDetection: false, maxMetricsStorage: 1000, metricsTTL: 24 * 60 * 60 * 1000, // 24 hours warningThresholds: { requestTime: 1000, // 1 second bundleSize: 100000, // 100KB memoryUsage: 50 * 1024 * 1024, // 50MB }, generateReports: true, reportFormat: "json", ...(pluginConfig?.options || {}), }; } /** * Generate performance monitoring code for types */ function generateTypeMonitoringCode(typeName, _options) { return ` /** * Performance monitoring for ${typeName} */ export const ${typeName}PerformanceMonitor = { /** * Record validation performance */ recordValidation: (duration: number): void => { if (typeof performance !== 'undefined') { console.debug(\`${typeName} validation took \${duration}ms\`); } }, /** * Measure validation performance */ measureValidation: <T>(fn: () => T): T => { const start = performance.now(); const result = fn(); const end = performance.now(); console.debug(\`${typeName} validation took \${end - start}ms\`); return result; } };`; } /** * Generate performance monitoring middleware for API client */ function generateClientMonitoringCode(_generatedClient, options) { return ` /** * Performance monitoring middleware and utilities */ export class PerformanceMonitor { private static metrics = new Map<string, number[]>(); private static readonly maxMetrics = ${options.maxMetricsStorage || 1000}; /** * Record request performance metric */ static recordRequest(endpoint: string, duration: number): void { if (!this.metrics.has(endpoint)) { this.metrics.set(endpoint, []); } const metrics = this.metrics.get(endpoint)!; metrics.push(duration); // Maintain memory bounds if (metrics.length > this.maxMetrics) { metrics.splice(0, metrics.length - this.maxMetrics); } } /** * Wrap request function with performance monitoring */ static wrapRequest<T>( endpoint: string, requestFn: () => Promise<T> ): Promise<T> { const start = performance.now(); return requestFn() .then(result => { const end = performance.now(); this.recordRequest(endpoint, end - start); // Performance warning const duration = end - start; if (duration > ${options.warningThresholds?.requestTime || 1000}) { console.warn(\`Slow request detected for \${endpoint}: \${duration}ms\`); } return result; }) .catch(error => { const end = performance.now(); this.recordRequest(endpoint, end - start); throw error; }); } /** * Get performance statistics for an endpoint */ static getStats(endpoint: string): PerformanceStats | null { const metrics = this.metrics.get(endpoint); if (!metrics || metrics.length === 0) { return null; } const sorted = [...metrics].sort((a, b) => a - b); const count = sorted.length; const sum = sorted.reduce((acc, val) => acc + val, 0); return { count, min: sorted[0]!, max: sorted[count - 1]!, mean: sum / count, median: sorted[Math.floor(count / 2)]!, p95: sorted[Math.floor(count * 0.95)]! }; } /** * Get all performance statistics */ static getAllStats(): Record<string, PerformanceStats> { const stats: Record<string, PerformanceStats> = {}; for (const endpoint of this.metrics.keys()) { const stat = this.getStats(endpoint); if (stat) { stats[endpoint] = stat; } } return stats; } /** * Clear all performance metrics */ static clearStats(): void { this.metrics.clear(); } } interface PerformanceStats { count: number; min: number; max: number; mean: number; median: number; p95: number; } /** * Global performance monitoring functions */ export function getPerformanceStats(): Record<string, PerformanceStats> { return PerformanceMonitor.getAllStats(); } export function clearPerformanceStats(): void { PerformanceMonitor.clearStats(); } /** * Performance-aware request decorator */ export function performanceMonitored<T extends (...args: any[]) => Promise<any>>( endpoint: string, fn: T ): T { return ((...args: any[]) => { return PerformanceMonitor.wrapRequest(endpoint, () => fn(...args)); }) as T; }`; } /** * Detect performance regressions by comparing current metrics with baselines */ function detectPerformanceRegressions(options) { const currentStats = performanceAnalyzer.getAllStats(); for (const [operation, stats] of Object.entries(currentStats)) { // Simple regression detection - compare with thresholds if (options.warningThresholds?.requestTime && stats.mean > options.warningThresholds.requestTime) { console.warn(`Performance regression detected in ${operation}: ${stats.mean}ms (threshold: ${options.warningThresholds.requestTime}ms)`); } } } /** * Export utility functions */ function getPerformanceMonitoringStats() { return performanceAnalyzer.getAllStats(); } function clearPerformanceMonitoringCache() { performanceAnalyzer.clearMetrics(); } function generatePerformanceReport(format = "json") { return performanceAnalyzer.generateReport(format); } // Export plugin for registration exports.default = exports.performanceMonitoringPlugin; //# sourceMappingURL=performance-monitoring.js.map