4152b0bdfc
- 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.
242 lines
9.9 KiB
TypeScript
242 lines
9.9 KiB
TypeScript
'use client';
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import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, BarChart, Bar, Cell } from 'recharts';
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import { SprintVelocity } from '@/lib/types';
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interface PredictabilityMetricsProps {
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sprintHistory: SprintVelocity[];
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className?: string;
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}
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interface PredictabilityDataPoint {
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sprint: string;
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planned: number;
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actual: number;
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variance: number; // Pourcentage de variance (positif = dépassement, négatif = sous-performance)
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accuracy: number; // Pourcentage d'exactitude (100% = parfait)
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}
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export function PredictabilityMetrics({ sprintHistory, className }: PredictabilityMetricsProps) {
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// Calculer les métriques de predictabilité
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const predictabilityData: PredictabilityDataPoint[] = sprintHistory.map(sprint => {
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const variance = sprint.plannedPoints > 0
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? ((sprint.completedPoints - sprint.plannedPoints) / sprint.plannedPoints) * 100
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: 0;
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const accuracy = sprint.plannedPoints > 0
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? Math.max(0, 100 - Math.abs(variance))
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: 0;
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return {
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sprint: sprint.sprintName.replace('Sprint ', ''),
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planned: sprint.plannedPoints,
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actual: sprint.completedPoints,
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variance: Math.round(variance * 10) / 10,
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accuracy: Math.round(accuracy * 10) / 10
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};
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});
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// Calculer les statistiques globales
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const averageVariance = predictabilityData.length > 0
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? predictabilityData.reduce((sum, d) => sum + Math.abs(d.variance), 0) / predictabilityData.length
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: 0;
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const averageAccuracy = predictabilityData.length > 0
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? predictabilityData.reduce((sum, d) => sum + d.accuracy, 0) / predictabilityData.length
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: 0;
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const consistencyScore = averageVariance < 10 ? 'Excellent' :
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averageVariance < 20 ? 'Bon' :
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averageVariance < 30 ? 'Moyen' : 'À améliorer';
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// Tendance de l'exactitude (en amélioration ou dégradation)
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const recentAccuracy = predictabilityData.slice(-2);
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const trend = recentAccuracy.length >= 2
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? recentAccuracy[1].accuracy - recentAccuracy[0].accuracy
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: 0;
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const CustomTooltip = ({ active, payload, label }: {
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active?: boolean;
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payload?: Array<{ payload: PredictabilityDataPoint; value: number; name: string; color: string }>;
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label?: string
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}) => {
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if (active && payload && payload.length) {
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const data = payload[0].payload;
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return (
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<div className="bg-[var(--card)] border border-[var(--border)] rounded-lg p-3 shadow-lg">
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<p className="font-medium text-sm mb-2">Sprint {label}</p>
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<div className="space-y-1 text-xs">
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<div className="flex justify-between gap-4">
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<span>Planifié:</span>
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<span className="font-mono text-gray-500">{data.planned} pts</span>
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</div>
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<div className="flex justify-between gap-4">
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<span>Réalisé:</span>
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<span className="font-mono text-blue-500">{data.actual} pts</span>
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</div>
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<div className="flex justify-between gap-4">
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<span>Variance:</span>
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<span className={`font-mono ${data.variance > 0 ? 'text-green-500' : data.variance < 0 ? 'text-red-500' : 'text-gray-500'}`}>
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{data.variance > 0 ? '+' : ''}{data.variance}%
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</span>
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</div>
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<div className="flex justify-between gap-4">
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<span>Exactitude:</span>
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<span className="font-mono text-orange-500">{data.accuracy}%</span>
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</div>
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</div>
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</div>
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);
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}
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return null;
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};
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return (
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<div className={className}>
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<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
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{/* Graphique de variance */}
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<div>
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<h4 className="text-sm font-medium mb-3">Variance planifié vs réalisé</h4>
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<div style={{ width: '100%', height: '200px' }}>
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<ResponsiveContainer width="100%" height="100%">
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<BarChart data={predictabilityData} margin={{ top: 20, right: 30, left: 20, bottom: 20 }}>
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<CartesianGrid strokeDasharray="3 3" stroke="var(--border)" />
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<XAxis
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dataKey="sprint"
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stroke="var(--muted-foreground)"
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fontSize={10}
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/>
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<YAxis
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stroke="var(--muted-foreground)"
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fontSize={10}
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label={{ value: '%', angle: 0, position: 'insideLeft' }}
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/>
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<Tooltip content={<CustomTooltip />} />
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<Bar
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dataKey="variance"
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radius={[2, 2, 2, 2]}
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>
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{predictabilityData.map((entry, index) => (
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<Cell
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key={`cell-${index}`}
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fill={entry.variance > 0 ? 'hsl(142, 76%, 36%)' : entry.variance < 0 ? 'hsl(0, 84%, 60%)' : 'hsl(240, 5%, 64%)'}
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/>
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))}
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</Bar>
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</BarChart>
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</ResponsiveContainer>
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</div>
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</div>
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{/* Graphique d'exactitude */}
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<div>
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<h4 className="text-sm font-medium mb-3">Évolution de l'exactitude</h4>
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<div style={{ width: '100%', height: '200px' }}>
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<ResponsiveContainer width="100%" height="100%">
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<LineChart data={predictabilityData} margin={{ top: 20, right: 30, left: 20, bottom: 20 }}>
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<CartesianGrid strokeDasharray="3 3" stroke="var(--border)" />
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<XAxis
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dataKey="sprint"
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stroke="var(--muted-foreground)"
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fontSize={10}
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/>
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<YAxis
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stroke="var(--muted-foreground)"
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fontSize={10}
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domain={[0, 100]}
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label={{ value: '%', angle: 0, position: 'insideLeft' }}
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/>
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<Tooltip content={<CustomTooltip />} />
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<Line
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type="monotone"
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dataKey="accuracy"
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stroke="hsl(45, 93%, 47%)"
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strokeWidth={3}
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dot={{ fill: 'hsl(45, 93%, 47%)', strokeWidth: 2, r: 4 }}
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name="Exactitude"
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/>
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</LineChart>
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</ResponsiveContainer>
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</div>
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</div>
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</div>
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{/* Métriques de predictabilité */}
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<div className="mt-6 grid grid-cols-4 gap-4">
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<div className="text-center p-3 bg-[var(--card)] rounded-lg border border-[var(--border)]">
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<div className={`text-lg font-bold ${averageAccuracy > 80 ? 'text-green-500' : averageAccuracy > 60 ? 'text-orange-500' : 'text-red-500'}`}>
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{Math.round(averageAccuracy)}%
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</div>
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<div className="text-xs text-[var(--muted-foreground)]">
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Exactitude moyenne
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</div>
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</div>
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<div className="text-center p-3 bg-[var(--card)] rounded-lg border border-[var(--border)]">
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<div className={`text-lg font-bold ${averageVariance < 10 ? 'text-green-500' : averageVariance < 20 ? 'text-orange-500' : 'text-red-500'}`}>
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{Math.round(averageVariance * 10) / 10}%
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</div>
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<div className="text-xs text-[var(--muted-foreground)]">
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Variance moyenne
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</div>
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</div>
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<div className="text-center p-3 bg-[var(--card)] rounded-lg border border-[var(--border)]">
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<div className={`text-lg font-bold ${consistencyScore === 'Excellent' ? 'text-green-500' : consistencyScore === 'Bon' ? 'text-blue-500' : consistencyScore === 'Moyen' ? 'text-orange-500' : 'text-red-500'}`}>
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{consistencyScore}
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</div>
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<div className="text-xs text-[var(--muted-foreground)]">
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Consistance
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</div>
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</div>
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<div className="text-center p-3 bg-[var(--card)] rounded-lg border border-[var(--border)]">
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<div className={`text-lg font-bold ${trend > 5 ? 'text-green-500' : trend < -5 ? 'text-red-500' : 'text-blue-500'}`}>
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{trend > 0 ? '↗️' : trend < 0 ? '↘️' : '→'} {Math.abs(Math.round(trend))}%
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</div>
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<div className="text-xs text-[var(--muted-foreground)]">
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Tendance récente
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</div>
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</div>
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</div>
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{/* Analyse et recommandations */}
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<div className="mt-4 p-4 bg-[var(--card)] rounded-lg border border-[var(--border)]">
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<h4 className="text-sm font-medium mb-2">Analyse de predictabilité</h4>
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<div className="space-y-2 text-sm">
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{averageAccuracy > 80 && (
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<div className="flex items-center gap-2 text-green-600 dark:text-green-400">
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<span>✅</span>
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<span>Excellente predictabilité - L'équipe estime bien sa capacité</span>
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</div>
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)}
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{averageAccuracy < 60 && (
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<div className="flex items-center gap-2 text-red-600 dark:text-red-400">
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<span>⚠️</span>
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<span>Predictabilité faible - Revoir les méthodes d'estimation</span>
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</div>
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)}
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{averageVariance > 25 && (
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<div className="flex items-center gap-2 text-orange-600 dark:text-orange-400">
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<span>📊</span>
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<span>Variance élevée - Considérer des sprints plus courts ou un meilleur découpage</span>
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</div>
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)}
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{trend > 10 && (
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<div className="flex items-center gap-2 text-green-600 dark:text-green-400">
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<span>📈</span>
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<span>Tendance positive - L'équipe s'améliore dans ses estimations</span>
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</div>
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)}
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{trend < -10 && (
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<div className="flex items-center gap-2 text-red-600 dark:text-red-400">
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<span>📉</span>
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<span>Tendance négative - Attention aux changements récents (équipe, processus)</span>
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</div>
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)}
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</div>
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</div>
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</div>
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);
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}
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