chore: refactor project structure and clean up unused components

- Updated `TODO.md` to reflect new testing tasks and final structure expectations.
- Simplified TypeScript path mappings in `tsconfig.json` for better clarity.
- Revised business logic separation rules in `.cursor/rules` to align with new directory structure.
- Deleted unused client components and services to streamline the codebase.
- Adjusted import paths in scripts to match the new structure.

src/components/jira/PredictabilityMetrics.tsx

@@ -0,0 +1,241 @@
+'use client';
+
+import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, BarChart, Bar, Cell } from 'recharts';
+import { SprintVelocity } from '@/lib/types';
+
+interface PredictabilityMetricsProps {
+  sprintHistory: SprintVelocity[];
+  className?: string;
+}
+
+interface PredictabilityDataPoint {
+  sprint: string;
+  planned: number;
+  actual: number;
+  variance: number; // Pourcentage de variance (positif = dépassement, négatif = sous-performance)
+  accuracy: number; // Pourcentage d'exactitude (100% = parfait)
+}
+
+export function PredictabilityMetrics({ sprintHistory, className }: PredictabilityMetricsProps) {
+  // Calculer les métriques de predictabilité
+  const predictabilityData: PredictabilityDataPoint[] = sprintHistory.map(sprint => {
+    const variance = sprint.plannedPoints > 0 
+      ? ((sprint.completedPoints - sprint.plannedPoints) / sprint.plannedPoints) * 100
+      : 0;
+    
+    const accuracy = sprint.plannedPoints > 0
+      ? Math.max(0, 100 - Math.abs(variance))
+      : 0;
+
+    return {
+      sprint: sprint.sprintName.replace('Sprint ', ''),
+      planned: sprint.plannedPoints,
+      actual: sprint.completedPoints,
+      variance: Math.round(variance * 10) / 10,
+      accuracy: Math.round(accuracy * 10) / 10
+    };
+  });
+
+  // Calculer les statistiques globales
+  const averageVariance = predictabilityData.length > 0
+    ? predictabilityData.reduce((sum, d) => sum + Math.abs(d.variance), 0) / predictabilityData.length
+    : 0;
+
+  const averageAccuracy = predictabilityData.length > 0
+    ? predictabilityData.reduce((sum, d) => sum + d.accuracy, 0) / predictabilityData.length
+    : 0;
+
+  const consistencyScore = averageVariance < 10 ? 'Excellent' : 
+                          averageVariance < 20 ? 'Bon' : 
+                          averageVariance < 30 ? 'Moyen' : 'À améliorer';
+
+  // Tendance de l'exactitude (en amélioration ou dégradation)
+  const recentAccuracy = predictabilityData.slice(-2);
+  const trend = recentAccuracy.length >= 2 
+    ? recentAccuracy[1].accuracy - recentAccuracy[0].accuracy
+    : 0;
+
+  const CustomTooltip = ({ active, payload, label }: { 
+    active?: boolean; 
+    payload?: Array<{ payload: PredictabilityDataPoint; value: number; name: string; color: string }>; 
+    label?: string 
+  }) => {
+    if (active && payload && payload.length) {
+      const data = payload[0].payload;
+      return (
+        <div className="bg-[var(--card)] border border-[var(--border)] rounded-lg p-3 shadow-lg">
+          <p className="font-medium text-sm mb-2">Sprint {label}</p>
+          <div className="space-y-1 text-xs">
+            <div className="flex justify-between gap-4">
+              <span>Planifié:</span>
+              <span className="font-mono text-gray-500">{data.planned} pts</span>
+            </div>
+            <div className="flex justify-between gap-4">
+              <span>Réalisé:</span>
+              <span className="font-mono text-blue-500">{data.actual} pts</span>
+            </div>
+            <div className="flex justify-between gap-4">
+              <span>Variance:</span>
+              <span className={`font-mono ${data.variance > 0 ? 'text-green-500' : data.variance < 0 ? 'text-red-500' : 'text-gray-500'}`}>
+                {data.variance > 0 ? '+' : ''}{data.variance}%
+              </span>
+            </div>
+            <div className="flex justify-between gap-4">
+              <span>Exactitude:</span>
+              <span className="font-mono text-orange-500">{data.accuracy}%</span>
+            </div>
+          </div>
+        </div>
+      );
+    }
+    return null;
+  };
+
+  return (
+    <div className={className}>
+      <div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
+        {/* Graphique de variance */}
+        <div>
+          <h4 className="text-sm font-medium mb-3">Variance planifié vs réalisé</h4>
+          <div style={{ width: '100%', height: '200px' }}>
+            <ResponsiveContainer width="100%" height="100%">
+              <BarChart data={predictabilityData} margin={{ top: 20, right: 30, left: 20, bottom: 20 }}>
+                <CartesianGrid strokeDasharray="3 3" stroke="var(--border)" />
+                <XAxis 
+                  dataKey="sprint" 
+                  stroke="var(--muted-foreground)"
+                  fontSize={10}
+                />
+                <YAxis 
+                  stroke="var(--muted-foreground)"
+                  fontSize={10}
+                  label={{ value: '%', angle: 0, position: 'insideLeft' }}
+                />
+                <Tooltip content={<CustomTooltip />} />
+                <Bar 
+                  dataKey="variance" 
+                  radius={[2, 2, 2, 2]}
+                >
+                  {predictabilityData.map((entry, index) => (
+                    <Cell
+                      key={`cell-${index}`}
+                      fill={entry.variance > 0 ? 'hsl(142, 76%, 36%)' : entry.variance < 0 ? 'hsl(0, 84%, 60%)' : 'hsl(240, 5%, 64%)'}
+                    />
+                  ))}
+                </Bar>
+              </BarChart>
+            </ResponsiveContainer>
+          </div>
+        </div>
+
+        {/* Graphique d'exactitude */}
+        <div>
+          <h4 className="text-sm font-medium mb-3">Évolution de l&apos;exactitude</h4>
+          <div style={{ width: '100%', height: '200px' }}>
+            <ResponsiveContainer width="100%" height="100%">
+              <LineChart data={predictabilityData} margin={{ top: 20, right: 30, left: 20, bottom: 20 }}>
+                <CartesianGrid strokeDasharray="3 3" stroke="var(--border)" />
+                <XAxis 
+                  dataKey="sprint" 
+                  stroke="var(--muted-foreground)"
+                  fontSize={10}
+                />
+                <YAxis 
+                  stroke="var(--muted-foreground)"
+                  fontSize={10}
+                  domain={[0, 100]}
+                  label={{ value: '%', angle: 0, position: 'insideLeft' }}
+                />
+                <Tooltip content={<CustomTooltip />} />
+                <Line 
+                  type="monotone" 
+                  dataKey="accuracy" 
+                  stroke="hsl(45, 93%, 47%)" 
+                  strokeWidth={3}
+                  dot={{ fill: 'hsl(45, 93%, 47%)', strokeWidth: 2, r: 4 }}
+                  name="Exactitude"
+                />
+              </LineChart>
+            </ResponsiveContainer>
+          </div>
+        </div>
+      </div>
+
+      {/* Métriques de predictabilité */}
+      <div className="mt-6 grid grid-cols-4 gap-4">
+        <div className="text-center p-3 bg-[var(--card)] rounded-lg border border-[var(--border)]">
+          <div className={`text-lg font-bold ${averageAccuracy > 80 ? 'text-green-500' : averageAccuracy > 60 ? 'text-orange-500' : 'text-red-500'}`}>
+            {Math.round(averageAccuracy)}%
+          </div>
+          <div className="text-xs text-[var(--muted-foreground)]">
+            Exactitude moyenne
+          </div>
+        </div>
+        
+        <div className="text-center p-3 bg-[var(--card)] rounded-lg border border-[var(--border)]">
+          <div className={`text-lg font-bold ${averageVariance < 10 ? 'text-green-500' : averageVariance < 20 ? 'text-orange-500' : 'text-red-500'}`}>
+            {Math.round(averageVariance * 10) / 10}%
+          </div>
+          <div className="text-xs text-[var(--muted-foreground)]">
+            Variance moyenne
+          </div>
+        </div>
+        
+        <div className="text-center p-3 bg-[var(--card)] rounded-lg border border-[var(--border)]">
+          <div className={`text-lg font-bold ${consistencyScore === 'Excellent' ? 'text-green-500' : consistencyScore === 'Bon' ? 'text-blue-500' : consistencyScore === 'Moyen' ? 'text-orange-500' : 'text-red-500'}`}>
+            {consistencyScore}
+          </div>
+          <div className="text-xs text-[var(--muted-foreground)]">
+            Consistance
+          </div>
+        </div>
+        
+        <div className="text-center p-3 bg-[var(--card)] rounded-lg border border-[var(--border)]">
+          <div className={`text-lg font-bold ${trend > 5 ? 'text-green-500' : trend < -5 ? 'text-red-500' : 'text-blue-500'}`}>
+            {trend > 0 ? '↗️' : trend < 0 ? '↘️' : '→'} {Math.abs(Math.round(trend))}%
+          </div>
+          <div className="text-xs text-[var(--muted-foreground)]">
+            Tendance récente
+          </div>
+        </div>
+      </div>
+
+      {/* Analyse et recommandations */}
+      <div className="mt-4 p-4 bg-[var(--card)] rounded-lg border border-[var(--border)]">
+        <h4 className="text-sm font-medium mb-2">Analyse de predictabilité</h4>
+        <div className="space-y-2 text-sm">
+          {averageAccuracy > 80 && (
+            <div className="flex items-center gap-2 text-green-600 dark:text-green-400">
+              <span>✅</span>
+              <span>Excellente predictabilité - L&apos;équipe estime bien sa capacité</span>
+            </div>
+          )}
+          {averageAccuracy < 60 && (
+            <div className="flex items-center gap-2 text-red-600 dark:text-red-400">
+              <span>⚠️</span>
+              <span>Predictabilité faible - Revoir les méthodes d&apos;estimation</span>
+            </div>
+          )}
+          {averageVariance > 25 && (
+            <div className="flex items-center gap-2 text-orange-600 dark:text-orange-400">
+              <span>📊</span>
+              <span>Variance élevée - Considérer des sprints plus courts ou un meilleur découpage</span>
+            </div>
+          )}
+          {trend > 10 && (
+            <div className="flex items-center gap-2 text-green-600 dark:text-green-400">
+              <span>📈</span>
+              <span>Tendance positive - L&apos;équipe s&apos;améliore dans ses estimations</span>
+            </div>
+          )}
+          {trend < -10 && (
+            <div className="flex items-center gap-2 text-red-600 dark:text-red-400">
+              <span>📉</span>
+              <span>Tendance négative - Attention aux changements récents (équipe, processus)</span>
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+}