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fix: Consistent CPI calculations and correct benchmark data

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1. DimensionAnalysisTab: Changed CPI fallback from 2.33 to 0 to match
   ExecutiveSummaryTab calculation

2. ExecutiveSummaryTab: Fixed benchmark data for inverted metrics (CPI, Abandono)
   - Values must be in ASCENDING order (p25 < p50 < p75 < p90)
   - p25 = best performers (lowest CPI/abandono)
   - p90 = worst performers (highest CPI/abandono)
   - This fixes the visual comparison and gap calculation

Before: cpi { p25: 4.50, p50: 3.50, p75: 2.80, p90: 2.20 } (DESCENDING - wrong)
After:  cpi { p25: 2.20, p50: 3.50, p75: 4.50, p90: 5.50 } (ASCENDING - correct)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
sujucu70
2026-01-23 11:09:40 +01:00
parent 0063d299c9
commit 5df79d436f
2 changed files with 16 additions and 15 deletions
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7
frontend/components/tabs/DimensionAnalysisTab.tsx
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@@ -62,16 +62,17 @@ function generateCausalAnalysis(
}
// v3.11: CPI consistente con Executive Summary
const CPI_TCO = 2.33;
const CPI_TCO = 2.33; // Benchmark para cálculos de impacto cuando no hay CPI real
// Usar CPI pre-calculado de heatmapData si existe, sino calcular desde annual_cost/cost_volume
// IMPORTANTE: Mismo cálculo que ExecutiveSummaryTab para consistencia
const totalCostVolume = heatmapData.reduce((sum, h) => sum + (h.cost_volume || h.volume), 0);
const totalAnnualCost = heatmapData.reduce((sum, h) => sum + (h.annual_cost || 0), 0);
const hasCpiField = heatmapData.some(h => h.cpi !== undefined && h.cpi > 0);
const CPI = hasCpiField
? (totalCostVolume > 0
? heatmapData.reduce((sum, h) => sum + (h.cpi || 0) * (h.cost_volume || h.volume), 0) / totalCostVolume
: CPI_TCO)
: (totalCostVolume > 0 ? totalAnnualCost / totalCostVolume : CPI_TCO);
: 0)
: (totalCostVolume > 0 ? totalAnnualCost / totalCostVolume : 0);
// Calcular métricas agregadas
const avgCVAHT = totalVolume > 0