ObsiViewer/src/app/services/performance-profiler.service.ts

import { Injectable } from '@angular/core';

interface PerformanceSample {
  duration: number;
  success: boolean;
  timestamp: number;
}

interface BottleneckAnalysis {
  slowOperations: Array<{
    operation: string;
    avgDuration: number;
    failureRate: number;
  }>;
  frequentOperations: Array<{
    operation: string;
    callCount: number;
  }>;
}

@Injectable({ providedIn: 'root' })
export class PerformanceProfilerService {
  private metrics = new Map<string, PerformanceSample[]>();
  private readonly maxSamples = 100;

  // Mesurer une opération asynchrone
  async measureAsync<T>(
    operationName: string,
    operation: () => Promise<T>
  ): Promise<T> {
    const start = performance.now();
    try {
      const result = await operation();
      const duration = performance.now() - start;
      this.recordSample(operationName, duration, true);
      return result;
    } catch (error) {
      const duration = performance.now() - start;
      this.recordSample(operationName, duration, false);
      throw error;
    }
  }

  // Mesurer une opération synchrone
  measureSync<T>(
    operationName: string,
    operation: () => T
  ): T {
    const start = performance.now();
    try {
      const result = operation();
      const duration = performance.now() - start;
      this.recordSample(operationName, duration, true);
      return result;
    } catch (error) {
      const duration = performance.now() - start;
      this.recordSample(operationName, duration, false);
      throw error;
    }
  }

  // Analyser les goulots d'étranglement
  analyzeBottlenecks(): BottleneckAnalysis {
    const analysis: BottleneckAnalysis = {
      slowOperations: [],
      frequentOperations: []
    };

    for (const [operation, samples] of this.metrics.entries()) {
      const avgDuration = samples.reduce((sum, s) => sum + s.duration, 0) / samples.length;
      const failureRate = samples.filter(s => !s.success).length / samples.length;

      // Opérations lentes (> 100ms)
      if (avgDuration > 100) {
        analysis.slowOperations.push({
          operation,
          avgDuration: Math.round(avgDuration * 100) / 100,
          failureRate: Math.round(failureRate * 10000) / 100
        });
      }

      // Opérations fréquentes (> 50 appels)
      if (samples.length > 50) {
        analysis.frequentOperations.push({
          operation,
          callCount: samples.length
        });
      }
    }

    return analysis;
  }

  // Obtenir les métriques brutes
  getMetrics() {
    const result: Record<string, any> = {};

    for (const [operation, samples] of this.metrics.entries()) {
      const durations = samples.map(s => s.duration);
      const avgDuration = durations.reduce((a, b) => a + b, 0) / durations.length;
      const minDuration = Math.min(...durations);
      const maxDuration = Math.max(...durations);
      const p95Duration = this.percentile(durations, 95);

      result[operation] = {
        sampleCount: samples.length,
        avgDuration: Math.round(avgDuration * 100) / 100,
        minDuration: Math.round(minDuration * 100) / 100,
        maxDuration: Math.round(maxDuration * 100) / 100,
        p95Duration: Math.round(p95Duration * 100) / 100,
        failureRate: samples.filter(s => !s.success).length / samples.length
      };
    }

    return result;
  }

  // Exporter les métriques pour analyse
  exportMetrics() {
    return {
      timestamp: new Date().toISOString(),
      userAgent: typeof navigator !== 'undefined' ? navigator.userAgent : 'unknown',
      metrics: this.getMetrics(),
      bottlenecks: this.analyzeBottlenecks(),
      memory: typeof performance !== 'undefined' && (performance as any).memory ? {
        used: (performance as any).memory.usedJSHeapSize,
        total: (performance as any).memory.totalJSHeapSize,
        limit: (performance as any).memory.jsHeapSizeLimit
      } : null
    };
  }

  private recordSample(operation: string, duration: number, success: boolean) {
    if (!this.metrics.has(operation)) {
      this.metrics.set(operation, []);
    }

    const samples = this.metrics.get(operation)!;
    samples.push({
      duration,
      success,
      timestamp: Date.now()
    });

    // Garder seulement les derniers échantillons
    if (samples.length > this.maxSamples) {
      samples.shift();
    }
  }

  private percentile(values: number[], p: number): number {
    const sorted = [...values].sort((a, b) => a - b);
    const index = (p / 100) * (sorted.length - 1);
    const lower = Math.floor(index);
    const upper = Math.ceil(index);

    if (lower === upper) {
      return sorted[lower];
    }

    return sorted[lower] + (sorted[upper] - sorted[lower]) * (index - lower);
  }

  // Réinitialiser les métriques
  reset() {
    this.metrics.clear();
  }
}