feat: enhance Jira dashboard with advanced filtering and sprint details
- Updated `TODO.md` to mark several tasks as complete, including anomaly detection and sprint detail integration. - Enhanced `VelocityChart` to support click events for sprint details, improving user interaction. - Added `FilterBar` and `AnomalyDetectionPanel` components to `JiraDashboardPageClient` for advanced filtering capabilities. - Implemented state management for selected sprints and modal display for detailed sprint information. - Introduced new types for advanced filtering in `types.ts`, expanding the filtering options available in the analytics.
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Julien Froidefond
297
services/jira-anomaly-detection.ts
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297
services/jira-anomaly-detection.ts
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/**
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* Service de détection d'anomalies dans les métriques Jira
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* Analyse les patterns et tendances pour identifier des problèmes potentiels
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*/
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import { JiraAnalytics, SprintVelocity, CycleTimeByType, AssigneeWorkload } from '@/lib/types';
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export interface JiraAnomaly {
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id: string;
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type: 'velocity' | 'cycle_time' | 'workload' | 'completion' | 'blockers';
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severity: 'low' | 'medium' | 'high' | 'critical';
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title: string;
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description: string;
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value: number;
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threshold: number;
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recommendation: string;
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affectedItems: string[];
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timestamp: string;
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}
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export interface AnomalyDetectionConfig {
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velocityVarianceThreshold: number; // % de variance acceptable
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cycleTimeThreshold: number; // multiplicateur du cycle time moyen
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workloadImbalanceThreshold: number; // ratio max entre assignees
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completionRateThreshold: number; // % minimum de completion
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stalledItemsThreshold: number; // jours sans changement
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}
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export class JiraAnomalyDetectionService {
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private readonly defaultConfig: AnomalyDetectionConfig = {
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velocityVarianceThreshold: 30, // 30% de variance
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cycleTimeThreshold: 2.0, // 2x le cycle time moyen
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workloadImbalanceThreshold: 3.0, // 3:1 ratio max
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completionRateThreshold: 70, // 70% completion minimum
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stalledItemsThreshold: 7 // 7 jours
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};
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constructor(private config: Partial<AnomalyDetectionConfig> = {}) {
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this.config = { ...this.defaultConfig, ...config };
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}
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/**
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* Analyse toutes les métriques et détecte les anomalies
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*/
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async detectAnomalies(analytics: JiraAnalytics): Promise<JiraAnomaly[]> {
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const anomalies: JiraAnomaly[] = [];
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const timestamp = new Date().toISOString();
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// 1. Détection d'anomalies de vélocité
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const velocityAnomalies = this.detectVelocityAnomalies(analytics.velocityMetrics, timestamp);
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anomalies.push(...velocityAnomalies);
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// 2. Détection d'anomalies de cycle time
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const cycleTimeAnomalies = this.detectCycleTimeAnomalies(analytics.cycleTimeMetrics, timestamp);
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anomalies.push(...cycleTimeAnomalies);
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// 3. Détection de déséquilibres de charge
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const workloadAnomalies = this.detectWorkloadAnomalies(analytics.workInProgress.byAssignee, timestamp);
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anomalies.push(...workloadAnomalies);
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// 4. Détection de problèmes de completion
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const completionAnomalies = this.detectCompletionAnomalies(analytics.velocityMetrics, timestamp);
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anomalies.push(...completionAnomalies);
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// Trier par sévérité
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return anomalies.sort((a, b) => this.getSeverityWeight(b.severity) - this.getSeverityWeight(a.severity));
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}
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/**
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* Détecte les anomalies de vélocité (variance excessive, tendance négative)
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*/
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private detectVelocityAnomalies(velocityMetrics: { sprintHistory: SprintVelocity[]; averageVelocity: number }, timestamp: string): JiraAnomaly[] {
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const anomalies: JiraAnomaly[] = [];
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const { sprintHistory, averageVelocity } = velocityMetrics;
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if (sprintHistory.length < 3) return anomalies;
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// Calcul de la variance de vélocité
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const velocities = sprintHistory.map((s: SprintVelocity) => s.completedPoints);
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const variance = this.calculateVariance(velocities);
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const variancePercent = (Math.sqrt(variance) / averageVelocity) * 100;
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if (variancePercent > (this.config.velocityVarianceThreshold ?? this.defaultConfig.velocityVarianceThreshold)) {
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anomalies.push({
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id: `velocity-variance-${Date.now()}`,
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type: 'velocity',
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severity: variancePercent > 50 ? 'high' : 'medium',
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title: 'Vélocité très variable',
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description: `La vélocité de l'équipe varie de ${variancePercent.toFixed(1)}% autour de la moyenne`,
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value: variancePercent,
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threshold: this.config.velocityVarianceThreshold ?? this.defaultConfig.velocityVarianceThreshold,
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recommendation: 'Analysez les facteurs causant cette instabilité : estimation, complexité, blockers',
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affectedItems: sprintHistory.slice(-3).map((s: SprintVelocity) => s.sprintName),
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timestamp
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});
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}
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// Détection de tendance décroissante
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const recentSprints = sprintHistory.slice(-3);
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const isDecreasing = recentSprints.every((sprint: SprintVelocity, i: number) =>
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i === 0 || sprint.completedPoints < recentSprints[i - 1].completedPoints
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);
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if (isDecreasing && recentSprints.length >= 3) {
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const decline = ((recentSprints[0].completedPoints - recentSprints[recentSprints.length - 1].completedPoints) / recentSprints[0].completedPoints) * 100;
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anomalies.push({
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id: `velocity-decline-${Date.now()}`,
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type: 'velocity',
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severity: decline > 30 ? 'critical' : 'high',
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title: 'Vélocité en déclin',
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description: `La vélocité a diminué de ${decline.toFixed(1)}% sur les 3 derniers sprints`,
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value: decline,
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threshold: 0,
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recommendation: 'Identifiez les causes : technical debt, complexité croissante, ou problèmes d\'équipe',
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affectedItems: recentSprints.map((s: SprintVelocity) => s.sprintName),
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timestamp
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});
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}
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return anomalies;
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}
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/**
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* Détecte les anomalies de cycle time (temps excessifs, types problématiques)
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*/
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private detectCycleTimeAnomalies(cycleTimeMetrics: { averageCycleTime: number; cycleTimeByType: CycleTimeByType[] }, timestamp: string): JiraAnomaly[] {
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const anomalies: JiraAnomaly[] = [];
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const { averageCycleTime, cycleTimeByType } = cycleTimeMetrics;
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// Détection des types avec cycle time excessif
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cycleTimeByType.forEach((typeMetrics: CycleTimeByType) => {
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const ratio = typeMetrics.averageDays / averageCycleTime;
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if (ratio > (this.config.cycleTimeThreshold ?? this.defaultConfig.cycleTimeThreshold)) {
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anomalies.push({
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id: `cycle-time-${typeMetrics.issueType}-${Date.now()}`,
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type: 'cycle_time',
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severity: ratio > 3 ? 'high' : 'medium',
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title: `Cycle time excessif - ${typeMetrics.issueType}`,
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description: `Le type "${typeMetrics.issueType}" prend ${ratio.toFixed(1)}x plus de temps que la moyenne`,
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value: typeMetrics.averageDays,
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threshold: averageCycleTime * (this.config.cycleTimeThreshold ?? this.defaultConfig.cycleTimeThreshold),
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recommendation: 'Analysez les blockers spécifiques à ce type de ticket',
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affectedItems: [typeMetrics.issueType],
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timestamp
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});
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}
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});
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// Détection cycle time global excessif (> 14 jours)
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if (averageCycleTime > 14) {
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anomalies.push({
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id: `global-cycle-time-${Date.now()}`,
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type: 'cycle_time',
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severity: averageCycleTime > 21 ? 'critical' : 'high',
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title: 'Cycle time global élevé',
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description: `Le cycle time moyen de ${averageCycleTime.toFixed(1)} jours est préoccupant`,
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value: averageCycleTime,
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threshold: 14,
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recommendation: 'Réduisez la taille des tâches et identifiez les goulots d\'étranglement',
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affectedItems: ['Projet global'],
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timestamp
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});
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}
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return anomalies;
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}
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/**
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* Détecte les déséquilibres de charge de travail
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*/
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private detectWorkloadAnomalies(assigneeWorkloads: AssigneeWorkload[], timestamp: string): JiraAnomaly[] {
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const anomalies: JiraAnomaly[] = [];
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if (assigneeWorkloads.length < 2) return anomalies;
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const workloads = assigneeWorkloads.map(a => a.totalActive);
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const maxWorkload = Math.max(...workloads);
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const minWorkload = Math.min(...workloads.filter(w => w > 0));
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if (minWorkload === 0) return anomalies; // Éviter division par zéro
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const imbalanceRatio = maxWorkload / minWorkload;
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if (imbalanceRatio > (this.config.workloadImbalanceThreshold ?? this.defaultConfig.workloadImbalanceThreshold)) {
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const overloadedMember = assigneeWorkloads.find(a => a.totalActive === maxWorkload);
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const underloadedMember = assigneeWorkloads.find(a => a.totalActive === minWorkload);
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anomalies.push({
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id: `workload-imbalance-${Date.now()}`,
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type: 'workload',
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severity: imbalanceRatio > 5 ? 'high' : 'medium',
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title: 'Déséquilibre de charge',
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description: `Ratio de ${imbalanceRatio.toFixed(1)}:1 entre membres les plus/moins chargés`,
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value: imbalanceRatio,
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threshold: this.config.workloadImbalanceThreshold ?? this.defaultConfig.workloadImbalanceThreshold,
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recommendation: 'Redistribuez les tâches pour équilibrer la charge de travail',
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affectedItems: [
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`Surchargé: ${overloadedMember?.displayName} (${maxWorkload} tâches)`,
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`Sous-chargé: ${underloadedMember?.displayName} (${minWorkload} tâches)`
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],
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timestamp
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});
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}
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// Détection de membres avec trop de tâches en cours
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assigneeWorkloads.forEach(assignee => {
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if (assignee.inProgressCount > 5) {
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anomalies.push({
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id: `wip-limit-${assignee.assignee}-${Date.now()}`,
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type: 'workload',
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severity: assignee.inProgressCount > 8 ? 'high' : 'medium',
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title: 'WIP limite dépassée',
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description: `${assignee.displayName} a ${assignee.inProgressCount} tâches en cours`,
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value: assignee.inProgressCount,
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threshold: 5,
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recommendation: 'Limitez le WIP à 3-5 tâches par personne pour améliorer le focus',
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affectedItems: [assignee.displayName],
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timestamp
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});
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}
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});
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return anomalies;
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}
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/**
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* Détecte les problèmes de completion rate
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*/
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private detectCompletionAnomalies(velocityMetrics: { sprintHistory: SprintVelocity[] }, timestamp: string): JiraAnomaly[] {
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const anomalies: JiraAnomaly[] = [];
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const { sprintHistory } = velocityMetrics;
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if (sprintHistory.length === 0) return anomalies;
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// Analyse des 3 derniers sprints
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const recentSprints = sprintHistory.slice(-3);
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const avgCompletionRate = recentSprints.reduce((sum: number, sprint: SprintVelocity) =>
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sum + sprint.completionRate, 0) / recentSprints.length;
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if (avgCompletionRate < (this.config.completionRateThreshold ?? this.defaultConfig.completionRateThreshold)) {
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anomalies.push({
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id: `low-completion-rate-${Date.now()}`,
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type: 'completion',
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severity: avgCompletionRate < 50 ? 'critical' : 'high',
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title: 'Taux de completion faible',
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description: `Taux de completion moyen de ${avgCompletionRate.toFixed(1)}% sur les derniers sprints`,
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value: avgCompletionRate,
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threshold: this.config.completionRateThreshold ?? this.defaultConfig.completionRateThreshold,
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recommendation: 'Revoyez la planification et l\'estimation des sprints',
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affectedItems: recentSprints.map((s: SprintVelocity) => `${s.sprintName}: ${s.completionRate.toFixed(1)}%`),
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timestamp
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});
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}
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return anomalies;
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}
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/**
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* Calcule la variance d'un tableau de nombres
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*/
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private calculateVariance(numbers: number[]): number {
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const mean = numbers.reduce((sum, num) => sum + num, 0) / numbers.length;
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const squaredDiffs = numbers.map(num => Math.pow(num - mean, 2));
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return squaredDiffs.reduce((sum, diff) => sum + diff, 0) / numbers.length;
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}
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/**
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* Retourne le poids numérique d'une sévérité pour le tri
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*/
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private getSeverityWeight(severity: string): number {
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switch (severity) {
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case 'critical': return 4;
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case 'high': return 3;
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case 'medium': return 2;
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case 'low': return 1;
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default: return 0;
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}
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}
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/**
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* Met à jour la configuration de détection
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*/
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updateConfig(newConfig: Partial<AnomalyDetectionConfig>): void {
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this.config = { ...this.config, ...newConfig };
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}
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/**
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* Retourne la configuration actuelle
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*/
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getConfig(): AnomalyDetectionConfig {
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return { ...this.defaultConfig, ...this.config };
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}
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}
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export const jiraAnomalyDetection = new JiraAnomalyDetectionService();
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