b991824c04
Complete English translation of the Agentic Readiness scoring module across frontend and backend codebases to improve code maintainability and international collaboration. Frontend changes: - agenticReadinessV2.ts: Translated all algorithm functions, subfactor names, and descriptions to English (repeatability, predictability, structuring, inverseComplexity, stability, ROI) - AgenticReadinessTab.tsx: Translated RED_FLAG_CONFIGS labels and descriptions - locales/en.json & es.json: Added new translation keys for subfactors with both English and Spanish versions Backend changes: - agentic_score.py: Translated all docstrings, comments, and reason codes from Spanish to English while maintaining API compatibility All changes tested with successful frontend build compilation (no errors). https://claude.ai/code/session_check-agent-readiness-status-Exnpc
3722 lines
159 KiB
TypeScript
3722 lines
159 KiB
TypeScript
import React, { useState } from 'react';
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import { motion } from 'framer-motion';
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import { Bot, Zap, Brain, Activity, ChevronRight, Info, ChevronDown, ChevronUp, TrendingUp, BarChart2, Target, Repeat, AlertTriangle, Users, Sparkles, XCircle, AlertOctagon, ShieldAlert } from 'lucide-react';
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import type { AnalysisData, HeatmapDataPoint, SubFactor, DrilldownDataPoint, OriginalQueueMetrics, AgenticTier, AgenticScoreBreakdown } from '../../types';
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import {
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Card,
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Badge,
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TierBadge,
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SectionHeader,
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DistributionBar,
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Collapsible,
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} from '../ui';
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import {
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cn,
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COLORS,
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STATUS_CLASSES,
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TIER_CLASSES,
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getStatusFromScore,
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formatCurrency,
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formatNumber,
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formatPercent,
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} from '../../config/designSystem';
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// ============================================
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// RED FLAGS CONFIGURATION AND DETECTION
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// ============================================
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// v3.5: Red Flags Configuration
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interface RedFlagConfig {
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id: string;
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label: string;
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shortLabel: string;
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threshold: number;
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operator: '>' | '<';
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getValue: (queue: OriginalQueueMetrics) => number;
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format: (value: number) => string;
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color: string;
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description: string;
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}
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const RED_FLAG_CONFIGS: RedFlagConfig[] = [
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{
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id: 'cv_high',
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label: 'Critical AHT CV',
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shortLabel: 'CV',
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threshold: 120,
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operator: '>',
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getValue: (q) => q.cv_aht,
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format: (v) => `${v.toFixed(0)}%`,
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color: 'red',
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description: 'Extreme variability - unpredictable processes'
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},
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{
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id: 'transfer_high',
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label: 'Excessive Transfer',
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shortLabel: 'Transfer',
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threshold: 50,
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operator: '>',
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getValue: (q) => q.transfer_rate,
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format: (v) => `${v.toFixed(0)}%`,
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color: 'orange',
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description: 'High complexity - requires frequent escalation'
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},
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{
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id: 'volume_low',
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label: 'Insufficient Volume',
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shortLabel: 'Vol',
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threshold: 50,
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operator: '<',
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getValue: (q) => q.volume,
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format: (v) => v.toLocaleString(),
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color: 'slate',
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description: 'Negative ROI - volume doesn\'t justify investment'
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},
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{
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id: 'valid_low',
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label: 'Low Data Quality',
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shortLabel: 'Valid',
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threshold: 30,
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operator: '<',
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getValue: (q) => q.volume > 0 ? (q.volumeValid / q.volume) * 100 : 0,
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format: (v) => `${v.toFixed(0)}%`,
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color: 'amber',
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description: 'Unreliable data - distorted metrics'
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}
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];
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// v3.5: Detect red flags for a queue
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interface DetectedRedFlag {
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config: RedFlagConfig;
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value: number;
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}
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function detectRedFlags(queue: OriginalQueueMetrics): DetectedRedFlag[] {
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const flags: DetectedRedFlag[] = [];
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for (const config of RED_FLAG_CONFIGS) {
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const value = config.getValue(queue);
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const hasFlag = config.operator === '>'
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? value > config.threshold
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: value < config.threshold;
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if (hasFlag) {
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flags.push({ config, value });
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}
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}
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return flags;
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}
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// v3.5: Individual Red Flag badge component
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function RedFlagBadge({ flag, size = 'sm' }: { flag: DetectedRedFlag; size?: 'sm' | 'md' }) {
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const sizeClasses = size === 'md' ? 'px-2 py-1 text-xs' : 'px-1.5 py-0.5 text-[10px]';
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return (
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<span
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className={`inline-flex items-center gap-1 ${sizeClasses} rounded bg-red-100 text-red-700 font-medium`}
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title={`${flag.config.label}: ${flag.config.format(flag.value)} (umbral: ${flag.config.operator}${flag.config.threshold})`}
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>
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<XCircle className="w-3 h-3" />
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{flag.config.shortLabel}: {flag.config.format(flag.value)}
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</span>
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);
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}
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// v3.5: Componente de lista de Red Flags de una cola
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function RedFlagsList({ queue, compact = false }: { queue: OriginalQueueMetrics; compact?: boolean }) {
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const flags = detectRedFlags(queue);
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if (flags.length === 0) return null;
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if (compact) {
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return (
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<div className="flex flex-wrap gap-1">
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{flags.map(flag => (
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<RedFlagBadge key={flag.config.id} flag={flag} size="sm" />
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))}
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</div>
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);
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}
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return (
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<div className="space-y-1">
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{flags.map(flag => (
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<div key={flag.config.id} className="flex items-center gap-2 text-xs">
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<XCircle className="w-3 h-3 text-red-500 flex-shrink-0" />
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<span className="text-red-700 font-medium">{flag.config.label}:</span>
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<span className="text-red-600">{flag.config.format(flag.value)}</span>
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<span className="text-gray-400">(umbral: {flag.config.operator}{flag.config.threshold})</span>
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</div>
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))}
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</div>
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);
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}
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interface AgenticReadinessTabProps {
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data: AnalysisData;
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onTabChange?: (tab: string) => void;
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}
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// ============================================
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// METHODOLOGY INTRODUCTION SECTION
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// ============================================
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interface TierExplanation {
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tier: AgenticTier;
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label: string;
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emoji: string;
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color: string;
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bgColor: string;
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description: string;
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criteria: string;
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recommendation: string;
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}
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const TIER_EXPLANATIONS: TierExplanation[] = [
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{
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tier: 'AUTOMATE',
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label: 'Automatizable',
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emoji: '🤖',
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color: '#10b981',
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bgColor: '#d1fae5',
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description: 'Procesos maduros listos para automatización completa con agente virtual.',
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criteria: 'Score ≥7.5: CV AHT <75%, Transfer <15%, Volumen >500/mes',
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recommendation: 'Desplegar agente virtual con resolución autónoma'
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},
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{
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tier: 'ASSIST',
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label: 'Asistible',
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emoji: '🤝',
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color: '#3b82f6',
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bgColor: '#dbeafe',
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description: 'Candidatos a Copilot: IA asiste al agente humano en tiempo real.',
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criteria: 'Score 5.5-7.5: Procesos semiestructurados con variabilidad moderada',
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recommendation: 'Implementar Copilot con sugerencias y búsqueda inteligente'
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},
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{
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tier: 'AUGMENT',
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label: 'Optimizable',
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emoji: '📚',
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color: '#f59e0b',
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bgColor: '#fef3c7',
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description: 'Requiere herramientas y estandarización antes de automatizar.',
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criteria: 'Score 3.5-5.5: Alta variabilidad o complejidad, necesita optimización',
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recommendation: 'Desplegar KB mejorada, scripts guiados, herramientas de soporte'
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},
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{
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tier: 'HUMAN-ONLY',
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label: 'Solo Humano',
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emoji: '👤',
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color: '#6b7280',
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bgColor: '#f3f4f6',
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description: 'No apto para automatización: volumen insuficiente o complejidad extrema.',
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criteria: 'Score <3.5 o Red Flags: CV >120%, Transfer >50%, Vol <50',
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recommendation: 'Mantener gestión humana, evaluar periódicamente'
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}
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];
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function AgenticMethodologyIntro({
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tierData,
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totalVolume,
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totalQueues
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}: {
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tierData: TierDataType;
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totalVolume: number;
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totalQueues: number;
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}) {
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const [isExpanded, setIsExpanded] = useState(false);
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// Calcular estadísticas para el roadmap
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const automatizableQueues = tierData.AUTOMATE.count + tierData.ASSIST.count;
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const optimizableQueues = tierData.AUGMENT.count;
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const humanOnlyQueues = tierData['HUMAN-ONLY'].count;
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const automatizablePct = totalVolume > 0
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? Math.round((tierData.AUTOMATE.volume + tierData.ASSIST.volume) / totalVolume * 100)
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: 0;
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return (
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<Card padding="none">
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{/* Header con toggle */}
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<div
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className="px-5 py-4 bg-gradient-to-r from-blue-50 to-indigo-50 border-b border-gray-200 cursor-pointer"
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onClick={() => setIsExpanded(!isExpanded)}
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>
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<div className="flex items-center justify-between">
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<div className="flex items-center gap-3">
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<div className="p-2 rounded-lg bg-blue-100">
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<Info className="w-5 h-5 text-blue-600" />
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</div>
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<div>
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<h2 className="font-semibold text-gray-900 flex items-center gap-2">
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¿Qué es el Índice de Agentic Readiness?
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</h2>
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<p className="text-sm text-gray-600 mt-0.5">
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Metodología de evaluación y guía de navegación de este análisis
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</p>
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</div>
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</div>
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<button className="p-2 rounded-lg hover:bg-white/50 transition-colors">
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{isExpanded ? (
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<ChevronUp className="w-5 h-5 text-gray-500" />
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) : (
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<ChevronDown className="w-5 h-5 text-gray-500" />
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)}
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</button>
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</div>
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</div>
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{/* Contenido expandible */}
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{isExpanded && (
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<div className="p-5 space-y-6">
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{/* Sección 1: Definición del índice */}
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<div>
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<h3 className="font-semibold text-gray-900 mb-3 flex items-center gap-2">
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<Brain className="w-4 h-4 text-blue-600" />
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Definición del Índice
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</h3>
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<div className="bg-gray-50 rounded-lg p-4">
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<p className="text-sm text-gray-700 mb-3">
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El <strong>Índice de Agentic Readiness</strong> evalúa qué porcentaje del volumen de interacciones
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está preparado para ser gestionado por agentes virtuales o asistido por IA. Se calcula
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analizando cada cola individualmente según 5 factores clave:
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</p>
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<div className="grid grid-cols-1 md:grid-cols-5 gap-2 text-xs">
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<div className="bg-white rounded p-2 border border-gray-200">
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<div className="font-bold text-blue-600">Predictibilidad</div>
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<div className="text-gray-500">30% peso</div>
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<div className="text-gray-600 mt-1">CV AHT <75%</div>
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</div>
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<div className="bg-white rounded p-2 border border-gray-200">
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<div className="font-bold text-blue-600">Resolutividad</div>
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<div className="text-gray-500">25% peso</div>
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<div className="text-gray-600 mt-1">FCR alto, Transfer bajo</div>
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</div>
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<div className="bg-white rounded p-2 border border-gray-200">
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<div className="font-bold text-blue-600">Volumen</div>
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<div className="text-gray-500">25% peso</div>
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<div className="text-gray-600 mt-1">ROI positivo >500/mes</div>
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</div>
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<div className="bg-white rounded p-2 border border-gray-200">
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<div className="font-bold text-blue-600">Calidad Datos</div>
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<div className="text-gray-500">10% peso</div>
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<div className="text-gray-600 mt-1">% registros válidos</div>
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</div>
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<div className="bg-white rounded p-2 border border-gray-200">
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<div className="font-bold text-blue-600">Simplicidad</div>
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<div className="text-gray-500">10% peso</div>
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<div className="text-gray-600 mt-1">AHT bajo, proceso simple</div>
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</div>
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</div>
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</div>
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</div>
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{/* Sección 2: Los 4 Tiers explicados */}
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<div>
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<h3 className="font-semibold text-gray-900 mb-3 flex items-center gap-2">
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<BarChart2 className="w-4 h-4 text-blue-600" />
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Las 4 Categorías de Clasificación
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</h3>
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<p className="text-sm text-gray-600 mb-3">
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Cada cola se clasifica en uno de los siguientes tiers según su score compuesto:
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</p>
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<div className="grid grid-cols-1 md:grid-cols-2 gap-3">
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{TIER_EXPLANATIONS.map(tier => (
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<div
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key={tier.tier}
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className="rounded-lg border p-3"
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style={{ backgroundColor: tier.bgColor, borderColor: tier.color + '40' }}
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>
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<div className="flex items-center gap-2 mb-2">
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<span className="text-xl">{tier.emoji}</span>
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<span className="font-bold" style={{ color: tier.color }}>{tier.label}</span>
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<span className="text-xs px-2 py-0.5 rounded-full text-white" style={{ backgroundColor: tier.color }}>
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{tier.tier}
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</span>
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</div>
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<p className="text-sm text-gray-700 mb-2">{tier.description}</p>
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<div className="text-xs text-gray-600">
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<div className="mb-1"><strong>Criterios:</strong> {tier.criteria}</div>
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<div><strong>Acción:</strong> {tier.recommendation}</div>
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</div>
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</div>
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))}
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</div>
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</div>
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{/* Sección 3: Roadmap de navegación */}
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<div>
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<h3 className="font-semibold text-gray-900 mb-3 flex items-center gap-2">
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<Target className="w-4 h-4 text-blue-600" />
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Contenido de este Análisis
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</h3>
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<div className="bg-blue-50 rounded-lg p-4 border border-blue-100">
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<p className="text-sm text-gray-700 mb-4">
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Este tab presenta el análisis de automatización en el siguiente orden:
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</p>
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<div className="space-y-3">
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{/* Paso 1 */}
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<div className="flex items-start gap-3">
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<div className="flex-shrink-0 w-6 h-6 rounded-full bg-blue-600 text-white text-xs font-bold flex items-center justify-center">
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1
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</div>
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<div>
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<div className="font-medium text-gray-900">Visión Global de Distribución</div>
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<p className="text-xs text-gray-600">
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Porcentaje de volumen en cada categoría ({automatizablePct}% automatizable).
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Las 4 cajas muestran cómo se distribuyen las {totalVolume.toLocaleString()} interacciones.
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</p>
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</div>
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</div>
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{/* Paso 2 */}
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<div className="flex items-start gap-3">
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<div className="flex-shrink-0 w-6 h-6 rounded-full bg-emerald-600 text-white text-xs font-bold flex items-center justify-center">
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2
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</div>
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<div>
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<div className="font-medium text-gray-900">
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Candidatos Prioritarios
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<span className="ml-2 text-xs px-2 py-0.5 rounded-full bg-emerald-100 text-emerald-700">
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{automatizableQueues} colas
|
||
</span>
|
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</div>
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||
<p className="text-xs text-gray-600">
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Colas AUTOMATE y ASSIST ordenadas por potencial de ahorro.
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Quick wins con mayor ROI para priorizar en el roadmap.
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</p>
|
||
</div>
|
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</div>
|
||
|
||
{/* Paso 3 */}
|
||
<div className="flex items-start gap-3">
|
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<div className="flex-shrink-0 w-6 h-6 rounded-full bg-amber-600 text-white text-xs font-bold flex items-center justify-center">
|
||
3
|
||
</div>
|
||
<div>
|
||
<div className="font-medium text-gray-900">
|
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Colas a Optimizar
|
||
<span className="ml-2 text-xs px-2 py-0.5 rounded-full bg-amber-100 text-amber-700">
|
||
{optimizableQueues} colas
|
||
</span>
|
||
</div>
|
||
<p className="text-xs text-gray-600">
|
||
Tier AUGMENT: requieren estandarización previa (reducir variabilidad,
|
||
mejorar FCR, documentar procesos) antes de automatizar.
|
||
</p>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Paso 4 */}
|
||
<div className="flex items-start gap-3">
|
||
<div className="flex-shrink-0 w-6 h-6 rounded-full bg-gray-500 text-white text-xs font-bold flex items-center justify-center">
|
||
4
|
||
</div>
|
||
<div>
|
||
<div className="font-medium text-gray-900">
|
||
No Automatizables
|
||
<span className="ml-2 text-xs px-2 py-0.5 rounded-full bg-gray-100 text-gray-700">
|
||
{humanOnlyQueues} colas
|
||
</span>
|
||
</div>
|
||
<p className="text-xs text-gray-600">
|
||
Tier HUMAN-ONLY: volumen insuficiente (ROI negativo), calidad de datos baja,
|
||
variabilidad extrema, o complejidad que requiere juicio humano.
|
||
</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Nota metodológica */}
|
||
<div className="text-xs text-gray-500 border-t border-gray-200 pt-4">
|
||
<strong>Nota metodológica:</strong> El índice se calcula por cola individual, no como promedio global.
|
||
Esto permite identificar oportunidades específicas incluso cuando la media operativa sea baja.
|
||
Los umbrales están calibrados según benchmarks de industria (COPC, Gartner).
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Mini resumen cuando está colapsado */}
|
||
{!isExpanded && (
|
||
<div className="px-5 py-3 bg-gray-50 text-xs text-gray-600 flex items-center gap-4 flex-wrap">
|
||
<span><strong>5 factores</strong> ponderados</span>
|
||
<span>→</span>
|
||
<span><strong>4 categorías</strong> de clasificación</span>
|
||
<span>→</span>
|
||
<span><strong>{totalQueues} colas</strong> analizadas</span>
|
||
<span className="ml-auto text-blue-600 font-medium">Click para expandir metodología</span>
|
||
</div>
|
||
)}
|
||
</Card>
|
||
);
|
||
}
|
||
|
||
// Factor configuration with weights (must sum to 1.0)
|
||
interface FactorConfig {
|
||
id: string;
|
||
title: string;
|
||
weight: number;
|
||
icon: React.ElementType;
|
||
color: string;
|
||
description: string;
|
||
methodology: string;
|
||
benchmark: string;
|
||
implications: { high: string; low: string };
|
||
}
|
||
|
||
const FACTOR_CONFIGS: FactorConfig[] = [
|
||
{
|
||
id: 'predictibilidad',
|
||
title: 'Predictibilidad',
|
||
weight: 0.30,
|
||
icon: Brain,
|
||
color: '#6D84E3',
|
||
description: 'Consistencia en tiempos de gestión',
|
||
methodology: 'Score = 10 - (CV_AHT / 10). CV AHT < 30% → Score > 7',
|
||
benchmark: 'CV AHT óptimo < 25%',
|
||
implications: { high: 'Tiempos consistentes, ideal para IA', low: 'Requiere estandarización' }
|
||
},
|
||
{
|
||
id: 'complejidad_inversa',
|
||
title: 'Simplicidad',
|
||
weight: 0.20,
|
||
icon: Zap,
|
||
color: '#10B981',
|
||
description: 'Bajo nivel de juicio humano requerido',
|
||
methodology: 'Score = 10 - (Tasa_Transfer × 0.4). Transfer <10% → Score > 6',
|
||
benchmark: 'Transferencias óptimas <10%',
|
||
implications: { high: 'Procesos simples, automatizables', low: 'Alta complejidad, requiere copilot' }
|
||
},
|
||
{
|
||
id: 'repetitividad',
|
||
title: 'Volumen',
|
||
weight: 0.25,
|
||
icon: Repeat,
|
||
color: '#F59E0B',
|
||
description: 'Escala para justificar inversión',
|
||
methodology: 'Score = log10(Volumen) normalizado. >5000 → 10, <100 → 2',
|
||
benchmark: 'ROI positivo requiere >500/mes',
|
||
implications: { high: 'Alto volumen justifica inversión', low: 'Considerar soluciones compartidas' }
|
||
},
|
||
{
|
||
id: 'roi_potencial',
|
||
title: 'ROI Potencial',
|
||
weight: 0.25,
|
||
icon: TrendingUp,
|
||
color: '#8B5CF6',
|
||
description: 'Retorno económico esperado',
|
||
methodology: 'Score basado en coste anual total. >€500K → 10',
|
||
benchmark: 'ROI >150% a 12 meses',
|
||
implications: { high: 'Caso de negocio sólido', low: 'ROI marginal, evaluar otros beneficios' }
|
||
}
|
||
];
|
||
|
||
// v3.4: Helper para obtener estilo de Tier
|
||
function getTierStyle(tier: AgenticTier): { bg: string; text: string; icon: React.ReactNode; label: string } {
|
||
switch (tier) {
|
||
case 'AUTOMATE':
|
||
return {
|
||
bg: 'bg-emerald-100',
|
||
text: 'text-emerald-700',
|
||
icon: <Sparkles className="w-3 h-3" />,
|
||
label: 'Automatizar'
|
||
};
|
||
case 'ASSIST':
|
||
return {
|
||
bg: 'bg-blue-100',
|
||
text: 'text-blue-700',
|
||
icon: <Bot className="w-3 h-3" />,
|
||
label: 'Asistir'
|
||
};
|
||
case 'AUGMENT':
|
||
return {
|
||
bg: 'bg-amber-100',
|
||
text: 'text-amber-700',
|
||
icon: <TrendingUp className="w-3 h-3" />,
|
||
label: 'Optimizar'
|
||
};
|
||
case 'HUMAN-ONLY':
|
||
return {
|
||
bg: 'bg-gray-100',
|
||
text: 'text-gray-600',
|
||
icon: <Users className="w-3 h-3" />,
|
||
label: 'Humano'
|
||
};
|
||
default:
|
||
return {
|
||
bg: 'bg-gray-100',
|
||
text: 'text-gray-600',
|
||
icon: null,
|
||
label: tier
|
||
};
|
||
}
|
||
}
|
||
|
||
// v3.4: Componente de desglose de score
|
||
function ScoreBreakdownTooltip({ breakdown }: { breakdown: AgenticScoreBreakdown }) {
|
||
return (
|
||
<div className="text-xs space-y-1">
|
||
<div className="flex justify-between gap-4">
|
||
<span>Predictibilidad (30%)</span>
|
||
<span className="font-medium">{breakdown.predictibilidad.toFixed(1)}</span>
|
||
</div>
|
||
<div className="flex justify-between gap-4">
|
||
<span>Resolutividad (25%)</span>
|
||
<span className="font-medium">{breakdown.resolutividad.toFixed(1)}</span>
|
||
</div>
|
||
<div className="flex justify-between gap-4">
|
||
<span>Volumen (25%)</span>
|
||
<span className="font-medium">{breakdown.volumen.toFixed(1)}</span>
|
||
</div>
|
||
<div className="flex justify-between gap-4">
|
||
<span>Calidad Datos (10%)</span>
|
||
<span className="font-medium">{breakdown.calidadDatos.toFixed(1)}</span>
|
||
</div>
|
||
<div className="flex justify-between gap-4">
|
||
<span>Simplicidad (10%)</span>
|
||
<span className="font-medium">{breakdown.simplicidad.toFixed(1)}</span>
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// Tooltip component for methodology
|
||
function InfoTooltip({ content, children }: { content: React.ReactNode; children: React.ReactNode }) {
|
||
const [isVisible, setIsVisible] = useState(false);
|
||
|
||
return (
|
||
<div className="relative inline-block">
|
||
<div
|
||
onMouseEnter={() => setIsVisible(true)}
|
||
onMouseLeave={() => setIsVisible(false)}
|
||
className="cursor-help"
|
||
>
|
||
{children}
|
||
</div>
|
||
{isVisible && (
|
||
<div className="absolute z-50 bottom-full left-1/2 -translate-x-1/2 mb-2 w-64 p-3 bg-gray-800 text-white text-xs rounded-lg shadow-lg">
|
||
{content}
|
||
<div className="absolute top-full left-1/2 -translate-x-1/2 border-4 border-transparent border-t-slate-800" />
|
||
</div>
|
||
)}
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// Calcular factores desde datos reales
|
||
function calculateFactorsFromData(heatmapData: HeatmapDataPoint[]): { id: string; score: number; detail: string }[] {
|
||
if (heatmapData.length === 0) return [];
|
||
|
||
const totalVolume = heatmapData.reduce((sum, h) => sum + h.volume, 0) || 1;
|
||
|
||
// Predictibilidad: basada en CV AHT promedio ponderado
|
||
const avgCvAht = heatmapData.reduce((sum, h) => sum + (h.variability.cv_aht * h.volume), 0) / totalVolume;
|
||
const predictScore = Math.max(0, Math.min(10, 10 - (avgCvAht / 10)));
|
||
|
||
// Simplicidad: basada en tasa de transferencias promedio ponderada
|
||
const avgTransfer = heatmapData.reduce((sum, h) => sum + (h.variability.transfer_rate * h.volume), 0) / totalVolume;
|
||
const simplicityScore = Math.max(0, Math.min(10, 10 - (avgTransfer * 0.4)));
|
||
|
||
// Volumen: basado en volumen total (escala logarítmica)
|
||
const volScore = totalVolume > 50000 ? 10 :
|
||
totalVolume > 20000 ? 9 :
|
||
totalVolume > 10000 ? 8 :
|
||
totalVolume > 5000 ? 7 :
|
||
totalVolume > 2000 ? 6 :
|
||
totalVolume > 1000 ? 5 :
|
||
totalVolume > 500 ? 4 :
|
||
totalVolume > 100 ? 3 : 2;
|
||
|
||
// ROI potencial: basado en coste anual total
|
||
const totalCost = heatmapData.reduce((sum, h) => sum + (h.annual_cost || h.volume * h.aht_seconds * 0.005), 0);
|
||
const roiScore = totalCost > 1000000 ? 10 :
|
||
totalCost > 500000 ? 9 :
|
||
totalCost > 300000 ? 8 :
|
||
totalCost > 200000 ? 7 :
|
||
totalCost > 100000 ? 6 :
|
||
totalCost > 50000 ? 5 : 4;
|
||
|
||
return [
|
||
{ id: 'predictibilidad', score: predictScore, detail: `CV AHT: ${avgCvAht.toFixed(0)}%` },
|
||
{ id: 'complejidad_inversa', score: simplicityScore, detail: `Transfer: ${avgTransfer.toFixed(0)}%` },
|
||
{ id: 'repetitividad', score: volScore, detail: `${totalVolume.toLocaleString()} int.` },
|
||
{ id: 'roi_potencial', score: roiScore, detail: `€${(totalCost/1000).toFixed(0)}K` }
|
||
];
|
||
}
|
||
|
||
// Calculate weighted global score from factors
|
||
function calculateWeightedScore(factors: { id: string; score: number }[]): number {
|
||
if (factors.length === 0) return 5;
|
||
|
||
let weightedSum = 0;
|
||
let totalWeight = 0;
|
||
|
||
for (const factor of factors) {
|
||
const config = FACTOR_CONFIGS.find(c => c.id === factor.id);
|
||
if (config) {
|
||
weightedSum += factor.score * config.weight;
|
||
totalWeight += config.weight;
|
||
}
|
||
}
|
||
|
||
return totalWeight > 0 ? weightedSum / totalWeight * 10 : 5; // Normalize to ensure weights sum correctly
|
||
}
|
||
|
||
// v3.4: Tipo para datos de Tier
|
||
interface TierDataType {
|
||
AUTOMATE: { count: number; volume: number };
|
||
ASSIST: { count: number; volume: number };
|
||
AUGMENT: { count: number; volume: number };
|
||
'HUMAN-ONLY': { count: number; volume: number };
|
||
}
|
||
|
||
// ============================================
|
||
// v3.10: OPPORTUNITY BUBBLE CHART
|
||
// ============================================
|
||
|
||
// Colores por tier para el bubble chart
|
||
const TIER_BUBBLE_COLORS: Record<AgenticTier, { fill: string; stroke: string }> = {
|
||
'AUTOMATE': { fill: '#10b981', stroke: '#059669' }, // Emerald
|
||
'ASSIST': { fill: '#6d84e3', stroke: '#4f63b8' }, // Primary blue
|
||
'AUGMENT': { fill: '#f59e0b', stroke: '#d97706' }, // Amber
|
||
'HUMAN-ONLY': { fill: '#94a3b8', stroke: '#64748b' } // Slate
|
||
};
|
||
|
||
// Calcular radio con escala logarítmica
|
||
function calcularRadioBurbuja(volumen: number, maxVolumen: number): number {
|
||
const minRadio = 6;
|
||
const maxRadio = 35;
|
||
if (volumen <= 0 || maxVolumen <= 0) return minRadio;
|
||
const escala = Math.log10(volumen + 1) / Math.log10(maxVolumen + 1);
|
||
return minRadio + (maxRadio - minRadio) * escala;
|
||
}
|
||
|
||
// Período de datos: el volumen corresponde a 11 meses, no es mensual
|
||
const DATA_PERIOD_MONTHS = 11;
|
||
|
||
// Calcular ahorro TCO por cola
|
||
// v4.2: Corregido para convertir volumen de 11 meses a anual
|
||
function calcularAhorroTCO(queue: OriginalQueueMetrics): number {
|
||
// CPI Config similar a RoadmapTab
|
||
const CPI_HUMANO = 2.33;
|
||
const CPI_BOT = 0.15;
|
||
const CPI_ASSIST = 1.50;
|
||
const CPI_AUGMENT = 2.00;
|
||
|
||
const ratesByTier: Record<AgenticTier, { rate: number; cpi: number }> = {
|
||
'AUTOMATE': { rate: 0.70, cpi: CPI_BOT },
|
||
'ASSIST': { rate: 0.30, cpi: CPI_ASSIST },
|
||
'AUGMENT': { rate: 0.15, cpi: CPI_AUGMENT },
|
||
'HUMAN-ONLY': { rate: 0, cpi: CPI_HUMANO }
|
||
};
|
||
|
||
const config = ratesByTier[queue.tier];
|
||
// Ahorro anual = (volumen/11) × 12 × rate × (CPI_humano - CPI_target)
|
||
const annualVolume = (queue.volume / DATA_PERIOD_MONTHS) * 12;
|
||
const ahorroAnual = annualVolume * config.rate * (CPI_HUMANO - config.cpi);
|
||
return Math.round(ahorroAnual);
|
||
}
|
||
|
||
// Interfaz para datos de burbuja
|
||
interface BubbleData {
|
||
id: string;
|
||
name: string;
|
||
skillName: string;
|
||
score: number;
|
||
tier: AgenticTier;
|
||
volume: number;
|
||
ahorro: number;
|
||
cv: number;
|
||
fcr: number;
|
||
transfer: number;
|
||
x: number; // Posición X (score)
|
||
y: number; // Posición Y (ahorro)
|
||
radius: number;
|
||
}
|
||
|
||
// Componente del Bubble Chart de Oportunidades
|
||
function OpportunityBubbleChart({ drilldownData }: { drilldownData: DrilldownDataPoint[] }) {
|
||
// Estados para filtros
|
||
const [tierFilter, setTierFilter] = useState<'Todos' | AgenticTier>('Todos');
|
||
const [minAhorro, setMinAhorro] = useState<number>(0);
|
||
const [minVolumen, setMinVolumen] = useState<number>(0);
|
||
const [hoveredBubble, setHoveredBubble] = useState<BubbleData | null>(null);
|
||
const [selectedBubble, setSelectedBubble] = useState<BubbleData | null>(null);
|
||
|
||
// Responsive chart dimensions
|
||
const containerRef = React.useRef<HTMLDivElement>(null);
|
||
const [containerWidth, setContainerWidth] = React.useState(700);
|
||
|
||
React.useEffect(() => {
|
||
const updateWidth = () => {
|
||
if (containerRef.current) {
|
||
const width = containerRef.current.offsetWidth;
|
||
setContainerWidth(Math.max(320, width - 32)); // min 320px, account for padding
|
||
}
|
||
};
|
||
updateWidth();
|
||
window.addEventListener('resize', updateWidth);
|
||
return () => window.removeEventListener('resize', updateWidth);
|
||
}, []);
|
||
|
||
// Dimensiones del chart - responsive
|
||
const chartWidth = containerWidth;
|
||
const chartHeight = Math.min(400, containerWidth * 0.6); // aspect ratio ~1.67:1
|
||
const margin = {
|
||
top: 30,
|
||
right: containerWidth < 500 ? 15 : 30,
|
||
bottom: 50,
|
||
left: containerWidth < 500 ? 45 : 70
|
||
};
|
||
const innerWidth = chartWidth - margin.left - margin.right;
|
||
const innerHeight = chartHeight - margin.top - margin.bottom;
|
||
|
||
// Extraer todas las colas y calcular ahorro
|
||
const allQueues = React.useMemo(() => {
|
||
return drilldownData.flatMap(skill =>
|
||
skill.originalQueues.map(q => ({
|
||
...q,
|
||
skillName: skill.skill,
|
||
ahorro: calcularAhorroTCO(q)
|
||
}))
|
||
);
|
||
}, [drilldownData]);
|
||
|
||
// Filtrar colas según criterios
|
||
const filteredQueues = React.useMemo(() => {
|
||
return allQueues
|
||
.filter(q => q.tier !== 'HUMAN-ONLY') // Excluir HUMAN-ONLY (no tienen ahorro)
|
||
.filter(q => q.ahorro > minAhorro)
|
||
.filter(q => q.volume >= minVolumen)
|
||
.filter(q => tierFilter === 'Todos' || q.tier === tierFilter)
|
||
.sort((a, b) => b.ahorro - a.ahorro) // Ordenar por ahorro descendente
|
||
.slice(0, 20); // Mostrar hasta 20 burbujas
|
||
}, [allQueues, tierFilter, minAhorro, minVolumen]);
|
||
|
||
// Calcular escalas
|
||
const maxVolumen = Math.max(...allQueues.map(q => q.volume), 1);
|
||
const maxAhorro = Math.max(...filteredQueues.map(q => q.ahorro), 1);
|
||
|
||
// Crear datos de burbujas con posiciones
|
||
const bubbleData: BubbleData[] = React.useMemo(() => {
|
||
return filteredQueues.map(q => ({
|
||
id: q.original_queue_id,
|
||
name: q.original_queue_id,
|
||
skillName: q.skillName,
|
||
score: q.agenticScore,
|
||
tier: q.tier,
|
||
volume: q.volume,
|
||
ahorro: q.ahorro,
|
||
cv: q.cv_aht,
|
||
// FCR Técnico para consistencia con Executive Summary (fallback: 100 - transfer_rate)
|
||
fcr: q.fcr_tecnico ?? (100 - q.transfer_rate),
|
||
transfer: q.transfer_rate,
|
||
// Escala X: score 0-10 -> 0-innerWidth
|
||
x: (q.agenticScore / 10) * innerWidth,
|
||
// Escala Y: ahorro 0-max -> innerHeight-0 (invertido para que arriba sea más)
|
||
y: innerHeight - (q.ahorro / maxAhorro) * innerHeight,
|
||
radius: calcularRadioBurbuja(q.volume, maxVolumen)
|
||
}));
|
||
}, [filteredQueues, maxVolumen, maxAhorro, innerWidth, innerHeight]);
|
||
|
||
// v3.12: Contadores por cuadrante sincronizados con filtros
|
||
// Umbrales fijos para score, umbral relativo para ahorro (30% del max visible)
|
||
const SCORE_AUTOMATE = 7.5;
|
||
const SCORE_ASSIST = 5.5;
|
||
const AHORRO_THRESHOLD_PCT = 0.3;
|
||
|
||
const quadrantStats = React.useMemo(() => {
|
||
const ahorroThreshold = maxAhorro * AHORRO_THRESHOLD_PCT;
|
||
|
||
// Cuadrantes basados en posición visual
|
||
const quickWins = bubbleData.filter(b =>
|
||
b.score >= SCORE_AUTOMATE && b.ahorro >= ahorroThreshold
|
||
);
|
||
const highPotential = bubbleData.filter(b =>
|
||
b.score >= SCORE_ASSIST && b.score < SCORE_AUTOMATE && b.ahorro >= ahorroThreshold
|
||
);
|
||
const lowHanging = bubbleData.filter(b =>
|
||
b.score >= SCORE_AUTOMATE && b.ahorro < ahorroThreshold
|
||
);
|
||
const nurture = bubbleData.filter(b =>
|
||
b.score < SCORE_ASSIST
|
||
);
|
||
const backlog = bubbleData.filter(b =>
|
||
b.score >= SCORE_ASSIST && b.score < SCORE_AUTOMATE && b.ahorro < ahorroThreshold
|
||
);
|
||
|
||
const sumAhorro = (items: BubbleData[]) => items.reduce((sum, b) => sum + b.ahorro, 0);
|
||
|
||
return {
|
||
quickWins: { items: quickWins, count: quickWins.length, ahorro: sumAhorro(quickWins) },
|
||
highPotential: { items: highPotential, count: highPotential.length, ahorro: sumAhorro(highPotential) },
|
||
lowHanging: { items: lowHanging, count: lowHanging.length, ahorro: sumAhorro(lowHanging) },
|
||
nurture: { items: nurture, count: nurture.length, ahorro: sumAhorro(nurture) },
|
||
backlog: { items: backlog, count: backlog.length, ahorro: sumAhorro(backlog) },
|
||
total: bubbleData.length,
|
||
totalAhorro: sumAhorro(bubbleData),
|
||
ahorroThreshold
|
||
};
|
||
}, [bubbleData, maxAhorro]);
|
||
|
||
const sumAhorro = (items: BubbleData[]) => items.reduce((sum, b) => sum + b.ahorro, 0);
|
||
|
||
// Indicador de filtros activos
|
||
const hasActiveFilters = minAhorro > 0 || minVolumen > 0 || tierFilter !== 'Todos';
|
||
|
||
const formatCurrency = (val: number) => {
|
||
if (val >= 1000000) return `€${(val / 1000000).toFixed(1)}M`;
|
||
if (val >= 1000) return `€${Math.round(val / 1000)}K`;
|
||
return `€${val}`;
|
||
};
|
||
|
||
const formatVolume = (v: number) => {
|
||
if (v >= 1000000) return `${(v / 1000000).toFixed(1)}M`;
|
||
if (v >= 1000) return `${Math.round(v / 1000)}K`;
|
||
return v.toString();
|
||
};
|
||
|
||
// Umbral de score para línea vertical AUTOMATE
|
||
const automateThresholdX = (7.5 / 10) * innerWidth;
|
||
const assistThresholdX = (5.5 / 10) * innerWidth;
|
||
|
||
return (
|
||
<div ref={containerRef} className="bg-white rounded-xl border border-gray-200 shadow-sm overflow-hidden">
|
||
{/* Header */}
|
||
<div className="px-3 sm:px-4 py-3 border-b" style={{ backgroundColor: COLORS.light }}>
|
||
<div className="flex items-center justify-between gap-2">
|
||
<div className="flex items-center gap-2 min-w-0">
|
||
<Target className="w-5 h-5 flex-shrink-0" style={{ color: COLORS.primary }} />
|
||
<h3 className="font-bold text-sm sm:text-base truncate" style={{ color: COLORS.dark }}>
|
||
Mapa de Oportunidades
|
||
</h3>
|
||
</div>
|
||
<span className="text-xs px-2 py-1 rounded-full font-medium flex-shrink-0" style={{ backgroundColor: COLORS.primary, color: 'white' }}>
|
||
{bubbleData.length} colas
|
||
</span>
|
||
</div>
|
||
<p className="text-[10px] sm:text-xs mt-1" style={{ color: COLORS.medium }}>
|
||
Tamaño = Volumen · Color = Tier · Posición = Score vs Ahorro TCO
|
||
</p>
|
||
</div>
|
||
|
||
{/* Filtros */}
|
||
<div className="px-3 sm:px-4 py-2 border-b border-gray-100 flex flex-wrap gap-2 sm:gap-4 items-center bg-gray-50/50">
|
||
<div className="flex items-center gap-2">
|
||
<span className="text-xs font-medium" style={{ color: COLORS.dark }}>Tier:</span>
|
||
<select
|
||
value={tierFilter}
|
||
onChange={(e) => setTierFilter(e.target.value as 'Todos' | AgenticTier)}
|
||
className="text-xs border border-gray-200 rounded px-2 py-1"
|
||
>
|
||
<option value="Todos">Todos</option>
|
||
<option value="AUTOMATE">AUTOMATE</option>
|
||
<option value="ASSIST">ASSIST</option>
|
||
<option value="AUGMENT">AUGMENT</option>
|
||
</select>
|
||
</div>
|
||
<div className="flex items-center gap-2">
|
||
<span className="text-xs font-medium" style={{ color: COLORS.dark }}>Ahorro mín:</span>
|
||
<select
|
||
value={minAhorro}
|
||
onChange={(e) => setMinAhorro(Number(e.target.value))}
|
||
className="text-xs border border-gray-200 rounded px-2 py-1"
|
||
>
|
||
<option value={0}>€0</option>
|
||
<option value={10000}>€10K</option>
|
||
<option value={50000}>€50K</option>
|
||
<option value={100000}>€100K</option>
|
||
</select>
|
||
</div>
|
||
<div className="flex items-center gap-2">
|
||
<span className="text-xs font-medium" style={{ color: COLORS.dark }}>Volumen mín:</span>
|
||
<select
|
||
value={minVolumen}
|
||
onChange={(e) => setMinVolumen(Number(e.target.value))}
|
||
className="text-xs border border-gray-200 rounded px-2 py-1"
|
||
>
|
||
<option value={0}>0</option>
|
||
<option value={1000}>1K</option>
|
||
<option value={5000}>5K</option>
|
||
<option value={10000}>10K</option>
|
||
</select>
|
||
</div>
|
||
|
||
{/* v3.12: Indicador de filtros activos con resumen de cuadrantes */}
|
||
{hasActiveFilters && (
|
||
<div className="ml-auto flex items-center gap-2 text-xs bg-amber-50 text-amber-700 px-2 py-1 rounded border border-amber-200">
|
||
<span className="font-medium">Filtros activos:</span>
|
||
{minAhorro > 0 && <span>Ahorro ≥€{minAhorro >= 1000 ? `${minAhorro/1000}K` : minAhorro}</span>}
|
||
{minVolumen > 0 && <span>Vol ≥{minVolumen >= 1000 ? `${minVolumen/1000}K` : minVolumen}</span>}
|
||
{tierFilter !== 'Todos' && <span>Tier: {tierFilter}</span>}
|
||
<span className="text-amber-500">|</span>
|
||
<span>{quadrantStats.total} de {allQueues.filter(q => q.tier !== 'HUMAN-ONLY').length} colas</span>
|
||
</div>
|
||
)}
|
||
</div>
|
||
|
||
{/* SVG Chart */}
|
||
<div className="px-2 sm:px-4 py-4 relative overflow-x-auto">
|
||
<svg width={chartWidth} height={chartHeight} className="mx-auto min-w-[320px]">
|
||
{/* Definiciones para gradientes y filtros */}
|
||
<defs>
|
||
<filter id="shadow" x="-20%" y="-20%" width="140%" height="140%">
|
||
<feDropShadow dx="1" dy="1" stdDeviation="2" floodOpacity="0.2" />
|
||
</filter>
|
||
</defs>
|
||
|
||
<g transform={`translate(${margin.left}, ${margin.top})`}>
|
||
{/* Fondo de cuadrantes */}
|
||
{/* Quick Wins (top-right) */}
|
||
<rect
|
||
x={automateThresholdX}
|
||
y={0}
|
||
width={innerWidth - automateThresholdX}
|
||
height={innerHeight * 0.7}
|
||
fill="#dcfce7"
|
||
opacity={0.3}
|
||
/>
|
||
{/* High Potential (top-center) */}
|
||
<rect
|
||
x={assistThresholdX}
|
||
y={0}
|
||
width={automateThresholdX - assistThresholdX}
|
||
height={innerHeight * 0.7}
|
||
fill="#dbeafe"
|
||
opacity={0.3}
|
||
/>
|
||
{/* Nurture (left) */}
|
||
<rect
|
||
x={0}
|
||
y={0}
|
||
width={assistThresholdX}
|
||
height={innerHeight}
|
||
fill="#fef3c7"
|
||
opacity={0.2}
|
||
/>
|
||
|
||
{/* Líneas de umbral verticales */}
|
||
<line
|
||
x1={automateThresholdX}
|
||
y1={0}
|
||
x2={automateThresholdX}
|
||
y2={innerHeight}
|
||
stroke="#10b981"
|
||
strokeWidth={2}
|
||
strokeDasharray="6,3"
|
||
opacity={0.7}
|
||
/>
|
||
<line
|
||
x1={assistThresholdX}
|
||
y1={0}
|
||
x2={assistThresholdX}
|
||
y2={innerHeight}
|
||
stroke="#6d84e3"
|
||
strokeWidth={1.5}
|
||
strokeDasharray="4,4"
|
||
opacity={0.5}
|
||
/>
|
||
|
||
{/* v3.12: Etiquetas de cuadrante sincronizadas con filtros */}
|
||
{/* Quick Wins (top-right) */}
|
||
<text x={automateThresholdX + 10} y={15} fontSize={10} fill="#059669" fontWeight="bold">
|
||
🎯 QUICK WINS
|
||
</text>
|
||
<text x={automateThresholdX + 10} y={28} fontSize={9} fill="#059669">
|
||
{quadrantStats.quickWins.count} colas · {formatCurrency(quadrantStats.quickWins.ahorro)}
|
||
</text>
|
||
|
||
{/* Alto Potencial (top-center) */}
|
||
<text x={assistThresholdX + 10} y={15} fontSize={10} fill="#4f63b8" fontWeight="bold">
|
||
⚡ ALTO POTENCIAL
|
||
</text>
|
||
<text x={assistThresholdX + 10} y={28} fontSize={9} fill="#4f63b8">
|
||
{quadrantStats.highPotential.count} colas · {formatCurrency(quadrantStats.highPotential.ahorro)}
|
||
</text>
|
||
|
||
{/* Desarrollar / Nurture (left column) */}
|
||
<text x={10} y={15} fontSize={10} fill="#92400e" fontWeight="bold">
|
||
📈 DESARROLLAR
|
||
</text>
|
||
<text x={10} y={28} fontSize={9} fill="#92400e">
|
||
{quadrantStats.nurture.count} colas · {formatCurrency(quadrantStats.nurture.ahorro)}
|
||
</text>
|
||
|
||
{/* Low Hanging Fruit (bottom-right) - Fácil pero bajo ahorro */}
|
||
{quadrantStats.lowHanging.count > 0 && (
|
||
<>
|
||
<text x={automateThresholdX + 10} y={innerHeight * 0.75 + 15} fontSize={9} fill="#6b7280" fontWeight="medium">
|
||
✅ FÁCIL IMPL.
|
||
</text>
|
||
<text x={automateThresholdX + 10} y={innerHeight * 0.75 + 27} fontSize={8} fill="#9ca3af">
|
||
{quadrantStats.lowHanging.count} · {formatCurrency(quadrantStats.lowHanging.ahorro)}
|
||
</text>
|
||
</>
|
||
)}
|
||
|
||
{/* Backlog (bottom-center) */}
|
||
{quadrantStats.backlog.count > 0 && (
|
||
<>
|
||
<text x={assistThresholdX + 10} y={innerHeight * 0.75 + 15} fontSize={9} fill="#6b7280" fontWeight="medium">
|
||
📋 BACKLOG
|
||
</text>
|
||
<text x={assistThresholdX + 10} y={innerHeight * 0.75 + 27} fontSize={8} fill="#9ca3af">
|
||
{quadrantStats.backlog.count} · {formatCurrency(quadrantStats.backlog.ahorro)}
|
||
</text>
|
||
</>
|
||
)}
|
||
|
||
{/* Ejes */}
|
||
{/* Eje X */}
|
||
<line x1={0} y1={innerHeight} x2={innerWidth} y2={innerHeight} stroke={COLORS.medium} strokeWidth={1} />
|
||
{/* Ticks X */}
|
||
{[0, 2, 4, 5.5, 6, 7.5, 8, 10].map(score => {
|
||
const x = (score / 10) * innerWidth;
|
||
return (
|
||
<g key={score}>
|
||
<line x1={x} y1={innerHeight} x2={x} y2={innerHeight + 5} stroke={COLORS.medium} />
|
||
<text
|
||
x={x}
|
||
y={innerHeight + 18}
|
||
textAnchor="middle"
|
||
fontSize={10}
|
||
fill={score === 7.5 ? '#059669' : score === 5.5 ? '#4f63b8' : COLORS.dark}
|
||
fontWeight={score === 7.5 || score === 5.5 ? 'bold' : 'normal'}
|
||
>
|
||
{score}
|
||
</text>
|
||
</g>
|
||
);
|
||
})}
|
||
<text x={innerWidth / 2} y={innerHeight + 38} textAnchor="middle" fontSize={11} fill={COLORS.dark} fontWeight="medium">
|
||
Agentic Score
|
||
</text>
|
||
|
||
{/* Eje Y */}
|
||
<line x1={0} y1={0} x2={0} y2={innerHeight} stroke={COLORS.medium} strokeWidth={1} />
|
||
{/* Ticks Y */}
|
||
{[0, 0.25, 0.5, 0.75, 1].map(pct => {
|
||
const y = innerHeight - pct * innerHeight;
|
||
const value = pct * maxAhorro;
|
||
return (
|
||
<g key={pct}>
|
||
<line x1={-5} y1={y} x2={0} y2={y} stroke={COLORS.medium} />
|
||
<text x={-10} y={y + 4} textAnchor="end" fontSize={9} fill={COLORS.dark}>
|
||
{formatCurrency(value)}
|
||
</text>
|
||
</g>
|
||
);
|
||
})}
|
||
<text
|
||
x={-45}
|
||
y={innerHeight / 2}
|
||
textAnchor="middle"
|
||
fontSize={11}
|
||
fill={COLORS.dark}
|
||
fontWeight="medium"
|
||
transform={`rotate(-90, -45, ${innerHeight / 2})`}
|
||
>
|
||
Ahorro TCO Anual
|
||
</text>
|
||
|
||
{/* Burbujas */}
|
||
{bubbleData.map((bubble, idx) => (
|
||
<g
|
||
key={bubble.id}
|
||
onMouseEnter={() => setHoveredBubble(bubble)}
|
||
onMouseLeave={() => setHoveredBubble(null)}
|
||
onClick={() => setSelectedBubble(bubble)}
|
||
style={{ cursor: 'pointer' }}
|
||
>
|
||
<circle
|
||
cx={bubble.x}
|
||
cy={bubble.y}
|
||
r={bubble.radius}
|
||
fill={TIER_BUBBLE_COLORS[bubble.tier].fill}
|
||
stroke={hoveredBubble?.id === bubble.id ? COLORS.dark : TIER_BUBBLE_COLORS[bubble.tier].stroke}
|
||
strokeWidth={hoveredBubble?.id === bubble.id ? 3 : 1.5}
|
||
opacity={hoveredBubble && hoveredBubble.id !== bubble.id ? 0.4 : 0.85}
|
||
filter={hoveredBubble?.id === bubble.id ? 'url(#shadow)' : undefined}
|
||
style={{ transition: 'all 0.2s ease' }}
|
||
/>
|
||
{/* Etiqueta si burbuja es grande */}
|
||
{bubble.radius > 18 && (
|
||
<text
|
||
x={bubble.x}
|
||
y={bubble.y + 3}
|
||
textAnchor="middle"
|
||
fontSize={8}
|
||
fill="white"
|
||
fontWeight="bold"
|
||
style={{ pointerEvents: 'none' }}
|
||
>
|
||
{bubble.name.length > 8 ? bubble.name.substring(0, 6) + '…' : bubble.name}
|
||
</text>
|
||
)}
|
||
</g>
|
||
))}
|
||
|
||
{/* Mensaje si no hay datos */}
|
||
{bubbleData.length === 0 && (
|
||
<text x={innerWidth / 2} y={innerHeight / 2} textAnchor="middle" fontSize={14} fill={COLORS.medium}>
|
||
No hay colas que cumplan los filtros seleccionados
|
||
</text>
|
||
)}
|
||
</g>
|
||
</svg>
|
||
|
||
{/* Tooltip flotante */}
|
||
{hoveredBubble && (
|
||
<div
|
||
className="absolute z-10 bg-white rounded-lg shadow-lg border border-gray-200 p-3 pointer-events-none"
|
||
style={{
|
||
left: Math.min(margin.left + hoveredBubble.x + 20, chartWidth - 200),
|
||
top: Math.min(margin.top + hoveredBubble.y - 10, chartHeight - 150),
|
||
minWidth: 180
|
||
}}
|
||
>
|
||
<div className="flex items-center justify-between gap-2 mb-2 pb-2 border-b border-gray-100">
|
||
<span className="font-bold text-sm" style={{ color: COLORS.dark }}>{hoveredBubble.name}</span>
|
||
<span
|
||
className="text-[10px] px-2 py-0.5 rounded-full font-medium text-white"
|
||
style={{ backgroundColor: TIER_BUBBLE_COLORS[hoveredBubble.tier].fill }}
|
||
>
|
||
{hoveredBubble.tier}
|
||
</span>
|
||
</div>
|
||
<div className="space-y-1 text-xs">
|
||
<div className="flex justify-between">
|
||
<span style={{ color: COLORS.medium }}>Score:</span>
|
||
<span className="font-semibold" style={{ color: COLORS.dark }}>{hoveredBubble.score.toFixed(1)}</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span style={{ color: COLORS.medium }}>Volumen:</span>
|
||
<span className="font-semibold" style={{ color: COLORS.dark }}>{formatVolume(hoveredBubble.volume)}/mes</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span style={{ color: COLORS.medium }}>Ahorro:</span>
|
||
<span className="font-semibold text-emerald-600">{formatCurrency(hoveredBubble.ahorro)}/año</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span style={{ color: COLORS.medium }}>CV AHT:</span>
|
||
<span className={`font-semibold ${hoveredBubble.cv > 120 ? 'text-red-500' : hoveredBubble.cv > 75 ? 'text-amber-500' : 'text-emerald-500'}`}>
|
||
{hoveredBubble.cv.toFixed(0)}%
|
||
</span>
|
||
</div>
|
||
<div className="flex justify-between">
|
||
<span style={{ color: COLORS.medium }}>FCR:</span>
|
||
<span className="font-semibold" style={{ color: COLORS.dark }}>{hoveredBubble.fcr.toFixed(0)}%</span>
|
||
</div>
|
||
</div>
|
||
<p className="text-[10px] text-center mt-2 pt-2 border-t border-gray-100" style={{ color: COLORS.medium }}>
|
||
Click para ver detalle
|
||
</p>
|
||
</div>
|
||
)}
|
||
</div>
|
||
|
||
{/* Leyenda */}
|
||
<div className="px-4 py-3 border-t border-gray-100 bg-gray-50/50">
|
||
<div className="flex flex-wrap justify-between gap-4">
|
||
{/* Leyenda de colores */}
|
||
<div>
|
||
<p className="text-[10px] font-bold mb-1.5" style={{ color: COLORS.dark }}>COLOR = TIER</p>
|
||
<div className="flex gap-3">
|
||
{(['AUTOMATE', 'ASSIST', 'AUGMENT'] as AgenticTier[]).map(tier => (
|
||
<div key={tier} className="flex items-center gap-1">
|
||
<div
|
||
className="w-3 h-3 rounded-full"
|
||
style={{ backgroundColor: TIER_BUBBLE_COLORS[tier].fill }}
|
||
/>
|
||
<span className="text-[10px]" style={{ color: COLORS.dark }}>
|
||
{tier === 'AUTOMATE' ? '≥7.5' : tier === 'ASSIST' ? '≥5.5' : '≥3.5'}
|
||
</span>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Leyenda de tamaños */}
|
||
<div>
|
||
<p className="text-[10px] font-bold mb-1.5" style={{ color: COLORS.dark }}>TAMAÑO = VOLUMEN</p>
|
||
<div className="flex items-center gap-3">
|
||
<div className="flex items-center gap-1">
|
||
<div className="w-2 h-2 rounded-full bg-gray-400" />
|
||
<span className="text-[10px]" style={{ color: COLORS.dark }}><1K</span>
|
||
</div>
|
||
<div className="flex items-center gap-1">
|
||
<div className="w-3.5 h-3.5 rounded-full bg-gray-400" />
|
||
<span className="text-[10px]" style={{ color: COLORS.dark }}>1K-10K</span>
|
||
</div>
|
||
<div className="flex items-center gap-1">
|
||
<div className="w-5 h-5 rounded-full bg-gray-400" />
|
||
<span className="text-[10px]" style={{ color: COLORS.dark }}>>10K</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* v3.12: Resumen con breakdown de cuadrantes */}
|
||
<div className="flex items-center gap-4">
|
||
{/* Breakdown de cuadrantes */}
|
||
<div className="flex flex-wrap gap-x-3 gap-y-1 text-[10px]">
|
||
<span className="text-emerald-600 font-medium">
|
||
🎯 {quadrantStats.quickWins.count}
|
||
</span>
|
||
<span className="text-blue-600 font-medium">
|
||
⚡ {quadrantStats.highPotential.count}
|
||
</span>
|
||
<span className="text-amber-600 font-medium">
|
||
📈 {quadrantStats.nurture.count}
|
||
</span>
|
||
{quadrantStats.lowHanging.count > 0 && (
|
||
<span className="text-gray-500 font-medium">
|
||
✅ {quadrantStats.lowHanging.count}
|
||
</span>
|
||
)}
|
||
{quadrantStats.backlog.count > 0 && (
|
||
<span className="text-gray-400 font-medium">
|
||
📋 {quadrantStats.backlog.count}
|
||
</span>
|
||
)}
|
||
<span className="text-gray-400">
|
||
= {quadrantStats.total} total
|
||
</span>
|
||
</div>
|
||
|
||
{/* Ahorro total */}
|
||
<div className="text-right border-l border-gray-200 pl-4">
|
||
<p className="text-[10px] font-bold mb-0.5" style={{ color: COLORS.dark }}>AHORRO VISIBLE</p>
|
||
<p className="text-base font-bold text-emerald-600">{formatCurrency(quadrantStats.totalAhorro)}</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Modal de detalle */}
|
||
{selectedBubble && (
|
||
<div className="fixed inset-0 z-50 flex items-center justify-center bg-black/30" onClick={() => setSelectedBubble(null)}>
|
||
<div className="bg-white rounded-xl shadow-2xl p-6 max-w-md w-full mx-4" onClick={e => e.stopPropagation()}>
|
||
<div className="flex items-center justify-between mb-4">
|
||
<h4 className="font-bold text-lg" style={{ color: COLORS.dark }}>{selectedBubble.name}</h4>
|
||
<button onClick={() => setSelectedBubble(null)} className="text-gray-400 hover:text-gray-600">
|
||
<XCircle className="w-5 h-5" />
|
||
</button>
|
||
</div>
|
||
|
||
<div className="space-y-3">
|
||
<div className="flex items-center gap-2">
|
||
<span
|
||
className="px-2 py-1 rounded-full text-xs font-medium text-white"
|
||
style={{ backgroundColor: TIER_BUBBLE_COLORS[selectedBubble.tier].fill }}
|
||
>
|
||
{selectedBubble.tier}
|
||
</span>
|
||
<span className="text-sm" style={{ color: COLORS.medium }}>
|
||
Skill: {selectedBubble.skillName}
|
||
</span>
|
||
</div>
|
||
|
||
<div className="grid grid-cols-2 gap-3 py-3 border-y border-gray-100">
|
||
<div>
|
||
<p className="text-xs" style={{ color: COLORS.medium }}>Agentic Score</p>
|
||
<p className="text-xl font-bold" style={{ color: COLORS.primary }}>{selectedBubble.score.toFixed(1)}</p>
|
||
</div>
|
||
<div>
|
||
<p className="text-xs" style={{ color: COLORS.medium }}>Ahorro Anual</p>
|
||
<p className="text-xl font-bold text-emerald-600">{formatCurrency(selectedBubble.ahorro)}</p>
|
||
</div>
|
||
<div>
|
||
<p className="text-xs" style={{ color: COLORS.medium }}>Volumen/mes</p>
|
||
<p className="text-lg font-semibold" style={{ color: COLORS.dark }}>{formatVolume(selectedBubble.volume)}</p>
|
||
</div>
|
||
<div>
|
||
<p className="text-xs" style={{ color: COLORS.medium }}>CV AHT</p>
|
||
<p className={`text-lg font-semibold ${selectedBubble.cv > 120 ? 'text-red-500' : selectedBubble.cv > 75 ? 'text-amber-500' : 'text-emerald-500'}`}>
|
||
{selectedBubble.cv.toFixed(0)}%
|
||
</p>
|
||
</div>
|
||
<div>
|
||
<p className="text-xs" style={{ color: COLORS.medium }}>FCR</p>
|
||
<p className="text-lg font-semibold" style={{ color: COLORS.dark }}>{selectedBubble.fcr.toFixed(0)}%</p>
|
||
</div>
|
||
<div>
|
||
<p className="text-xs" style={{ color: COLORS.medium }}>Transfer Rate</p>
|
||
<p className={`text-lg font-semibold ${selectedBubble.transfer > 50 ? 'text-red-500' : selectedBubble.transfer > 30 ? 'text-amber-500' : 'text-gray-700'}`}>
|
||
{selectedBubble.transfer.toFixed(0)}%
|
||
</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div className="bg-gray-50 rounded-lg p-3">
|
||
<p className="text-xs font-medium mb-1" style={{ color: COLORS.dark }}>
|
||
{selectedBubble.tier === 'AUTOMATE' ? '🎯 Candidato a Quick Win' :
|
||
selectedBubble.tier === 'ASSIST' ? '⚡ Alto Potencial con Copilot' :
|
||
'📈 Requiere estandarización previa'}
|
||
</p>
|
||
<p className="text-xs" style={{ color: COLORS.medium }}>
|
||
{selectedBubble.tier === 'AUTOMATE'
|
||
? 'Score ≥7.5 indica procesos maduros listos para automatización completa.'
|
||
: selectedBubble.tier === 'ASSIST'
|
||
? 'Score 5.5-7.5 se beneficia de asistencia IA (Copilot) para elevar a Tier 1.'
|
||
: 'Score <5.5 requiere trabajo previo de estandarización antes de automatizar.'}
|
||
</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// ========== Cabecera Agentic Readiness Score con colores corporativos ==========
|
||
function AgenticReadinessHeader({
|
||
tierData,
|
||
totalVolume,
|
||
totalQueues
|
||
}: {
|
||
tierData: TierDataType;
|
||
totalVolume: number;
|
||
totalQueues: number;
|
||
}) {
|
||
// Calcular volumen automatizable (AUTOMATE + ASSIST)
|
||
const automatizableVolume = tierData.AUTOMATE.volume + tierData.ASSIST.volume;
|
||
const automatizablePct = totalVolume > 0 ? (automatizableVolume / totalVolume) * 100 : 0;
|
||
|
||
// Porcentajes por tier
|
||
const tierPcts = {
|
||
AUTOMATE: totalVolume > 0 ? (tierData.AUTOMATE.volume / totalVolume) * 100 : 0,
|
||
ASSIST: totalVolume > 0 ? (tierData.ASSIST.volume / totalVolume) * 100 : 0,
|
||
AUGMENT: totalVolume > 0 ? (tierData.AUGMENT.volume / totalVolume) * 100 : 0,
|
||
'HUMAN-ONLY': totalVolume > 0 ? (tierData['HUMAN-ONLY'].volume / totalVolume) * 100 : 0
|
||
};
|
||
|
||
// Formatear volumen
|
||
const formatVolume = (v: number) => {
|
||
if (v >= 1000000) return `${(v / 1000000).toFixed(1)}M`;
|
||
if (v >= 1000) return `${Math.round(v / 1000)}K`;
|
||
return v.toLocaleString();
|
||
};
|
||
|
||
// Tier card config con colores consistentes con la sección introductoria
|
||
const tierConfigs = [
|
||
{ key: 'AUTOMATE', label: 'AUTOMATE', emoji: '🤖', sublabel: 'Full IA', color: '#10b981', bgColor: '#d1fae5' },
|
||
{ key: 'ASSIST', label: 'ASSIST', emoji: '🤝', sublabel: 'Copilot', color: '#3b82f6', bgColor: '#dbeafe' },
|
||
{ key: 'AUGMENT', label: 'AUGMENT', emoji: '📚', sublabel: 'Tools', color: '#f59e0b', bgColor: '#fef3c7' },
|
||
{ key: 'HUMAN-ONLY', label: 'HUMAN', emoji: '👤', sublabel: 'Manual', color: '#6b7280', bgColor: '#f3f4f6' }
|
||
];
|
||
|
||
// Calcular porcentaje de colas AUTOMATE
|
||
const pctColasAutomate = totalQueues > 0 ? (tierData.AUTOMATE.count / totalQueues) * 100 : 0;
|
||
|
||
// Generar interpretación que explica la diferencia volumen vs colas
|
||
const getInterpretation = () => {
|
||
// El score principal (88%) se basa en VOLUMEN de interacciones
|
||
// El % de colas AUTOMATE (26%) es diferente porque hay pocas colas de alto volumen
|
||
return `El ${Math.round(automatizablePct)}% representa el volumen de interacciones automatizables (AUTOMATE + ASSIST). ` +
|
||
`Solo el ${Math.round(pctColasAutomate)}% de las colas (${tierData.AUTOMATE.count} de ${totalQueues}) son AUTOMATE, ` +
|
||
`pero concentran ${Math.round(tierPcts.AUTOMATE)}% del volumen total. ` +
|
||
`Esto indica pocas colas de alto volumen automatizables - oportunidad concentrada en Quick Wins de alto impacto.`;
|
||
};
|
||
|
||
return (
|
||
<Card padding="none">
|
||
{/* Header */}
|
||
<div className="px-5 py-3 bg-gray-50 border-b border-gray-200">
|
||
<h2 className="font-semibold text-gray-900 flex items-center gap-2">
|
||
<Bot className="w-4 h-4 text-blue-600" />
|
||
Agentic Readiness Score
|
||
</h2>
|
||
</div>
|
||
|
||
<div className="p-5">
|
||
{/* Score Principal - Centrado */}
|
||
<div className="text-center mb-6">
|
||
<div className="inline-block px-8 py-4 rounded-xl border-2" style={{ borderColor: COLORS.primary, backgroundColor: `${COLORS.primary}10` }}>
|
||
<div className="text-5xl font-bold" style={{ color: COLORS.primary }}>
|
||
{Math.round(automatizablePct)}%
|
||
</div>
|
||
<div className="text-sm font-semibold mt-1" style={{ color: COLORS.dark }}>
|
||
Volumen Automatizable
|
||
</div>
|
||
<div className="text-xs" style={{ color: COLORS.medium }}>
|
||
(Tier AUTOMATE + ASSIST)
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* 4 Tier Cards - colores consistentes con sección introductoria */}
|
||
<div className="grid grid-cols-2 lg:grid-cols-4 gap-3 mb-6">
|
||
{tierConfigs.map(config => {
|
||
const tierKey = config.key as keyof TierDataType;
|
||
const data = tierData[tierKey];
|
||
const pct = tierPcts[tierKey];
|
||
|
||
return (
|
||
<div
|
||
key={config.key}
|
||
className="rounded-lg border p-3 text-center"
|
||
style={{ backgroundColor: config.bgColor, borderColor: config.color + '40' }}
|
||
>
|
||
<div className="text-xs font-bold mb-1" style={{ color: config.color }}>
|
||
{config.label}
|
||
</div>
|
||
<div className="text-2xl font-bold" style={{ color: config.color }}>
|
||
{Math.round(pct)}%
|
||
</div>
|
||
<div className="text-xs mt-1 text-gray-600">
|
||
{formatVolume(data.volume)} int
|
||
</div>
|
||
<div className="text-sm mt-1 text-gray-700">
|
||
{config.emoji} {config.sublabel}
|
||
</div>
|
||
<div className="text-xs mt-0.5 text-gray-500">
|
||
{data.count} colas
|
||
</div>
|
||
</div>
|
||
);
|
||
})}
|
||
</div>
|
||
|
||
{/* Barra de distribución visual - colores consistentes */}
|
||
<div className="mb-4">
|
||
<div className="flex h-3 rounded-full overflow-hidden bg-gray-200">
|
||
{tierPcts.AUTOMATE > 0 && (
|
||
<div
|
||
style={{ width: `${tierPcts.AUTOMATE}%`, backgroundColor: '#10b981' }}
|
||
title={`AUTOMATE: ${Math.round(tierPcts.AUTOMATE)}%`}
|
||
/>
|
||
)}
|
||
{tierPcts.ASSIST > 0 && (
|
||
<div
|
||
style={{ width: `${tierPcts.ASSIST}%`, backgroundColor: '#3b82f6' }}
|
||
title={`ASSIST: ${Math.round(tierPcts.ASSIST)}%`}
|
||
/>
|
||
)}
|
||
{tierPcts.AUGMENT > 0 && (
|
||
<div
|
||
style={{ width: `${tierPcts.AUGMENT}%`, backgroundColor: '#f59e0b' }}
|
||
title={`AUGMENT: ${Math.round(tierPcts.AUGMENT)}%`}
|
||
/>
|
||
)}
|
||
{tierPcts['HUMAN-ONLY'] > 0 && (
|
||
<div
|
||
style={{ width: `${tierPcts['HUMAN-ONLY']}%`, backgroundColor: '#6b7280' }}
|
||
title={`HUMAN: ${Math.round(tierPcts['HUMAN-ONLY'])}%`}
|
||
/>
|
||
)}
|
||
</div>
|
||
<div className="flex justify-between text-[10px] mt-1 text-gray-500">
|
||
<span>0%</span>
|
||
<span>50%</span>
|
||
<span>100%</span>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Interpretación condensada en una línea */}
|
||
<div className="pt-3" style={{ borderTop: `2px solid ${COLORS.light}` }}>
|
||
<p className="text-xs" style={{ color: COLORS.dark }}>
|
||
<span className="font-semibold" style={{ color: COLORS.primary }}>📊 Interpretación: </span>
|
||
{getInterpretation()}
|
||
</p>
|
||
</div>
|
||
|
||
{/* Footer con totales */}
|
||
<div className="mt-3 pt-3 flex items-center justify-between text-xs" style={{ borderTop: `1px solid ${COLORS.light}`, color: COLORS.medium }}>
|
||
<span>
|
||
Total: <strong style={{ color: COLORS.dark }}>{formatVolume(totalVolume)}</strong> interacciones
|
||
</span>
|
||
<span>
|
||
<strong style={{ color: COLORS.dark }}>{totalQueues}</strong> colas analizadas
|
||
</span>
|
||
</div>
|
||
</div>
|
||
</Card>
|
||
);
|
||
}
|
||
|
||
// ========== Sección de Factores del Score Global ==========
|
||
function GlobalFactorsSection({
|
||
drilldownData,
|
||
tierData,
|
||
totalVolume
|
||
}: {
|
||
drilldownData: DrilldownDataPoint[];
|
||
tierData: TierDataType;
|
||
totalVolume: number;
|
||
}) {
|
||
const allQueues = drilldownData.flatMap(skill => skill.originalQueues);
|
||
|
||
// Calcular métricas globales ponderadas por volumen
|
||
const totalQueueVolume = allQueues.reduce((sum, q) => sum + q.volume, 0);
|
||
|
||
// CV AHT promedio ponderado
|
||
const avgCV = totalQueueVolume > 0
|
||
? allQueues.reduce((sum, q) => sum + q.cv_aht * q.volume, 0) / totalQueueVolume
|
||
: 0;
|
||
|
||
// FCR Técnico promedio ponderado (consistente con Executive Summary)
|
||
const avgFCR = totalQueueVolume > 0
|
||
? allQueues.reduce((sum, q) => sum + (q.fcr_tecnico ?? (100 - q.transfer_rate)) * q.volume, 0) / totalQueueVolume
|
||
: 0;
|
||
|
||
// Transfer rate promedio ponderado
|
||
const avgTransfer = totalQueueVolume > 0
|
||
? allQueues.reduce((sum, q) => sum + q.transfer_rate * q.volume, 0) / totalQueueVolume
|
||
: 0;
|
||
|
||
// AHT promedio ponderado
|
||
const avgAHT = totalQueueVolume > 0
|
||
? allQueues.reduce((sum, q) => sum + q.aht_mean * q.volume, 0) / totalQueueVolume
|
||
: 0;
|
||
|
||
// Calidad de datos: % registros válidos (aproximación)
|
||
const validRecordsRatio = allQueues.length > 0
|
||
? allQueues.reduce((sum, q) => sum + (q.volumeValid / Math.max(1, q.volume)) * q.volume, 0) / totalQueueVolume
|
||
: 0;
|
||
const dataQualityPct = Math.round(validRecordsRatio * 100);
|
||
|
||
// Calcular scores de cada factor (0-10)
|
||
// Predictibilidad: basado en CV AHT (CV < 75% = bueno)
|
||
const predictabilityScore = Math.max(0, Math.min(10, 10 - (avgCV / 20)));
|
||
|
||
// Resolutividad: FCR (60%) + Transfer inverso (40%)
|
||
const fcrComponent = (avgFCR / 100) * 10 * 0.6;
|
||
const transferComponent = Math.max(0, (1 - avgTransfer / 50)) * 10 * 0.4;
|
||
const resolutionScore = Math.min(10, fcrComponent + transferComponent);
|
||
|
||
// Volumen: logarítmico basado en volumen del periodo
|
||
const volumeScore = Math.min(10, Math.log10(totalQueueVolume + 1) * 2.5);
|
||
|
||
// Calidad datos: % válidos
|
||
const dataQualityScore = dataQualityPct / 10;
|
||
|
||
// Simplicidad: basado en AHT (< 180s = 10, > 600s = 0)
|
||
const simplicityScore = Math.max(0, Math.min(10, 10 - ((avgAHT - 180) / 60)));
|
||
|
||
// Score global ponderado
|
||
const weights = { predictability: 0.30, resolution: 0.25, volume: 0.25, dataQuality: 0.10, simplicity: 0.10 };
|
||
const globalScore = (
|
||
predictabilityScore * weights.predictability +
|
||
resolutionScore * weights.resolution +
|
||
volumeScore * weights.volume +
|
||
dataQualityScore * weights.dataQuality +
|
||
simplicityScore * weights.simplicity
|
||
);
|
||
|
||
// Automatizable %
|
||
const automatizableVolume = tierData.AUTOMATE.volume + tierData.ASSIST.volume;
|
||
const automatizablePct = totalVolume > 0 ? Math.round((automatizableVolume / totalVolume) * 100) : 0;
|
||
|
||
const getStatus = (score: number): { emoji: string; label: string; color: string } => {
|
||
if (score >= 7) return { emoji: '🟢', label: 'Alto', color: COLORS.primary };
|
||
if (score >= 5) return { emoji: '🟡', label: 'Medio', color: COLORS.dark };
|
||
if (score >= 3) return { emoji: '🟠', label: 'Bajo', color: COLORS.medium };
|
||
return { emoji: '🔴', label: 'Crítico', color: COLORS.medium };
|
||
};
|
||
|
||
const getGlobalLabel = (score: number): string => {
|
||
if (score >= 7) return 'Listo para automatización';
|
||
if (score >= 5) return 'Potencial moderado';
|
||
if (score >= 3) return 'Requiere optimización';
|
||
return 'No preparado';
|
||
};
|
||
|
||
const formatVolume = (v: number) => {
|
||
if (v >= 1000000) return `${(v / 1000000).toFixed(2)}M`;
|
||
if (v >= 1000) return `${(v / 1000).toFixed(0)}K`;
|
||
return v.toLocaleString();
|
||
};
|
||
|
||
const factors = [
|
||
{
|
||
name: 'Predictibilidad',
|
||
score: predictabilityScore,
|
||
weight: '30%',
|
||
metric: `CV ${avgCV.toFixed(0)}%`,
|
||
status: getStatus(predictabilityScore)
|
||
},
|
||
{
|
||
name: 'Resolutividad',
|
||
score: resolutionScore,
|
||
weight: '25%',
|
||
metric: `FCR ${avgFCR.toFixed(0)}%/Tr ${avgTransfer.toFixed(0)}%`,
|
||
status: getStatus(resolutionScore)
|
||
},
|
||
{
|
||
name: 'Volumen',
|
||
score: volumeScore,
|
||
weight: '25%',
|
||
metric: `${formatVolume(totalQueueVolume)} int`,
|
||
status: getStatus(volumeScore)
|
||
},
|
||
{
|
||
name: 'Calidad Datos',
|
||
score: dataQualityScore,
|
||
weight: '10%',
|
||
metric: `${dataQualityPct}% VALID`,
|
||
status: getStatus(dataQualityScore)
|
||
},
|
||
{
|
||
name: 'Simplicidad',
|
||
score: simplicityScore,
|
||
weight: '10%',
|
||
metric: `AHT ${Math.round(avgAHT)}s`,
|
||
status: getStatus(simplicityScore)
|
||
}
|
||
];
|
||
|
||
return (
|
||
<div className="rounded-lg border border-gray-200 overflow-hidden bg-white">
|
||
{/* Header */}
|
||
<div className="px-5 py-3 bg-gray-50 border-b border-gray-200">
|
||
<h2 className="font-semibold text-gray-900">
|
||
Factores del Score (Nivel Operación Global)
|
||
</h2>
|
||
</div>
|
||
|
||
<div className="p-5">
|
||
{/* Nota explicativa */}
|
||
<div className="mb-4 p-3 rounded-lg" style={{ backgroundColor: COLORS.light }}>
|
||
<p className="text-xs" style={{ color: COLORS.dark }}>
|
||
<span className="font-semibold">⚠️ NOTA:</span> Estos factores son promedios globales.
|
||
El scoring por cola usa estos mismos factores calculados individualmente para cada cola.
|
||
</p>
|
||
</div>
|
||
|
||
{/* Tabla de factores */}
|
||
<div className="overflow-x-auto mb-4">
|
||
<table className="w-full text-sm">
|
||
<thead>
|
||
<tr style={{ color: COLORS.medium }}>
|
||
<th className="text-left py-2 font-medium">Factor</th>
|
||
<th className="text-right py-2 font-medium">Score</th>
|
||
<th className="text-right py-2 font-medium">Peso</th>
|
||
<th className="text-right py-2 font-medium">Métrica Real</th>
|
||
<th className="text-center py-2 font-medium">Status</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
{factors.map((factor, idx) => (
|
||
<tr key={factor.name} style={{ borderTop: `1px solid ${COLORS.light}` }}>
|
||
<td className="py-2 font-medium" style={{ color: COLORS.dark }}>{factor.name}</td>
|
||
<td className="py-2 text-right font-bold" style={{ color: factor.status.color }}>
|
||
{factor.score.toFixed(1)}
|
||
</td>
|
||
<td className="py-2 text-right" style={{ color: COLORS.medium }}>{factor.weight}</td>
|
||
<td className="py-2 text-right font-mono text-xs" style={{ color: COLORS.dark }}>{factor.metric}</td>
|
||
<td className="py-2 text-center">
|
||
<span className="text-xs">
|
||
{factor.status.emoji} <span style={{ color: factor.status.color }}>{factor.status.label}</span>
|
||
</span>
|
||
</td>
|
||
</tr>
|
||
))}
|
||
</tbody>
|
||
<tfoot>
|
||
<tr style={{ borderTop: `2px solid ${COLORS.medium}` }}>
|
||
<td className="py-3 font-bold" style={{ color: COLORS.dark }}>SCORE GLOBAL</td>
|
||
<td className="py-3 text-right font-bold text-lg" style={{ color: COLORS.primary }}>
|
||
{globalScore.toFixed(1)}
|
||
</td>
|
||
<td className="py-3" colSpan={2}></td>
|
||
<td className="py-3 text-center text-xs" style={{ color: COLORS.dark }}>
|
||
{getGlobalLabel(globalScore)}
|
||
</td>
|
||
</tr>
|
||
</tfoot>
|
||
</table>
|
||
</div>
|
||
|
||
{/* Insight explicativo */}
|
||
<div className="p-3 rounded-lg" style={{ backgroundColor: COLORS.light }}>
|
||
<p className="text-xs" style={{ color: COLORS.dark }}>
|
||
<span className="font-semibold" style={{ color: COLORS.primary }}>💡 </span>
|
||
El score global ({globalScore.toFixed(1)}) refleja la operación completa.
|
||
Sin embargo, <strong>{automatizablePct}%</strong> del volumen está en colas individuales
|
||
que SÍ cumplen criterios de automatización.
|
||
</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// ========== Clasificación por Skill con distribución por Tier ==========
|
||
function SkillClassificationSection({ drilldownData }: { drilldownData: DrilldownDataPoint[] }) {
|
||
// Calcular métricas por skill
|
||
const skillData = drilldownData.map(skill => {
|
||
const queues = skill.originalQueues;
|
||
const totalVolume = queues.reduce((sum, q) => sum + q.volume, 0);
|
||
|
||
// Contar colas y volumen por tier
|
||
const tierStats = {
|
||
AUTOMATE: {
|
||
count: queues.filter(q => q.tier === 'AUTOMATE').length,
|
||
volume: queues.filter(q => q.tier === 'AUTOMATE').reduce((s, q) => s + q.volume, 0)
|
||
},
|
||
ASSIST: {
|
||
count: queues.filter(q => q.tier === 'ASSIST').length,
|
||
volume: queues.filter(q => q.tier === 'ASSIST').reduce((s, q) => s + q.volume, 0)
|
||
},
|
||
AUGMENT: {
|
||
count: queues.filter(q => q.tier === 'AUGMENT').length,
|
||
volume: queues.filter(q => q.tier === 'AUGMENT').reduce((s, q) => s + q.volume, 0)
|
||
},
|
||
'HUMAN-ONLY': {
|
||
count: queues.filter(q => q.tier === 'HUMAN-ONLY').length,
|
||
volume: queues.filter(q => q.tier === 'HUMAN-ONLY').reduce((s, q) => s + q.volume, 0)
|
||
}
|
||
};
|
||
|
||
// Porcentajes por volumen
|
||
const tierPcts = {
|
||
AUTOMATE: totalVolume > 0 ? (tierStats.AUTOMATE.volume / totalVolume) * 100 : 0,
|
||
ASSIST: totalVolume > 0 ? (tierStats.ASSIST.volume / totalVolume) * 100 : 0,
|
||
AUGMENT: totalVolume > 0 ? (tierStats.AUGMENT.volume / totalVolume) * 100 : 0,
|
||
'HUMAN-ONLY': totalVolume > 0 ? (tierStats['HUMAN-ONLY'].volume / totalVolume) * 100 : 0
|
||
};
|
||
|
||
// Tier dominante por volumen
|
||
const dominantTier = Object.entries(tierPcts).reduce((max, [tier, pct]) =>
|
||
pct > max.pct ? { tier, pct } : max
|
||
, { tier: 'HUMAN-ONLY', pct: 0 });
|
||
|
||
// Volumen en T1+T2
|
||
const t1t2Pct = tierPcts.AUTOMATE + tierPcts.ASSIST;
|
||
|
||
// Determinar acción recomendada
|
||
let action = '';
|
||
let isWarning = false;
|
||
if (tierPcts.AUTOMATE >= 50) {
|
||
action = '→ Wave 4: Bot Full';
|
||
} else if (t1t2Pct >= 60) {
|
||
action = '→ Wave 3: Copilot';
|
||
} else if (tierPcts.AUGMENT >= 30) {
|
||
action = '→ Wave 2: Tools';
|
||
} else if (tierPcts['HUMAN-ONLY'] >= 50) {
|
||
action = '→ Wave 1: Foundation';
|
||
isWarning = true;
|
||
} else {
|
||
action = '→ Wave 2: Copilot';
|
||
}
|
||
|
||
return {
|
||
skill: skill.skill,
|
||
volume: totalVolume,
|
||
tierStats,
|
||
tierPcts,
|
||
dominantTier,
|
||
t1t2Pct,
|
||
action,
|
||
isWarning
|
||
};
|
||
}).sort((a, b) => b.volume - a.volume);
|
||
|
||
// Identificar quick wins y alertas
|
||
const quickWins = skillData.filter(s => s.tierPcts.AUTOMATE >= 40 || s.t1t2Pct >= 70);
|
||
const alerts = skillData.filter(s => s.tierPcts['HUMAN-ONLY'] >= 50);
|
||
|
||
const formatVolume = (v: number) => {
|
||
if (v >= 1000000) return `${(v / 1000000).toFixed(1)}M`;
|
||
if (v >= 1000) return `${Math.round(v / 1000)}K`;
|
||
return v.toLocaleString();
|
||
};
|
||
|
||
return (
|
||
<div className="rounded-lg border overflow-hidden" style={{ backgroundColor: COLORS.white, borderColor: COLORS.medium }}>
|
||
{/* Header */}
|
||
<div className="px-5 py-3" style={{ backgroundColor: COLORS.dark }}>
|
||
<h2 className="font-bold text-sm" style={{ color: COLORS.white }}>
|
||
CLASIFICACIÓN POR SKILL
|
||
</h2>
|
||
</div>
|
||
|
||
<div className="p-5">
|
||
{/* Tabla */}
|
||
<div className="overflow-x-auto">
|
||
<table className="w-full text-sm">
|
||
<thead>
|
||
<tr style={{ color: COLORS.medium }}>
|
||
<th className="text-left py-2 font-medium">Skill</th>
|
||
<th className="text-right py-2 font-medium">Volumen</th>
|
||
<th className="text-center py-2 font-medium" colSpan={4}>Distribución Colas por Tier</th>
|
||
<th className="text-left py-2 font-medium pl-4">Acción</th>
|
||
</tr>
|
||
<tr style={{ color: COLORS.medium }} className="text-xs">
|
||
<th></th>
|
||
<th></th>
|
||
<th className="text-center py-1">AUTO</th>
|
||
<th className="text-center py-1">ASIST</th>
|
||
<th className="text-center py-1">AUGM</th>
|
||
<th className="text-center py-1">HUMAN</th>
|
||
<th></th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
{skillData.map((skill, idx) => (
|
||
<tr key={skill.skill} style={{ borderTop: idx > 0 ? `1px solid ${COLORS.light}` : undefined }}>
|
||
{/* Skill name */}
|
||
<td className="py-3 font-medium" style={{ color: COLORS.dark }}>
|
||
{skill.skill}
|
||
</td>
|
||
|
||
{/* Volume */}
|
||
<td className="py-3 text-right font-bold" style={{ color: COLORS.dark }}>
|
||
{formatVolume(skill.volume)}
|
||
</td>
|
||
|
||
{/* Tier counts */}
|
||
<td className="py-3 text-center">
|
||
<div className="font-bold" style={{ color: skill.tierPcts.AUTOMATE >= 30 ? COLORS.primary : COLORS.medium }}>
|
||
{skill.tierStats.AUTOMATE.count}
|
||
</div>
|
||
<div className="text-[10px]" style={{ color: COLORS.medium }}>
|
||
({Math.round(skill.tierPcts.AUTOMATE)}%)
|
||
</div>
|
||
</td>
|
||
<td className="py-3 text-center">
|
||
<div className="font-bold" style={{ color: skill.tierPcts.ASSIST >= 30 ? COLORS.dark : COLORS.medium }}>
|
||
{skill.tierStats.ASSIST.count}
|
||
</div>
|
||
<div className="text-[10px]" style={{ color: COLORS.medium }}>
|
||
({Math.round(skill.tierPcts.ASSIST)}%)
|
||
</div>
|
||
</td>
|
||
<td className="py-3 text-center">
|
||
<div className="font-bold" style={{ color: COLORS.medium }}>
|
||
{skill.tierStats.AUGMENT.count}
|
||
</div>
|
||
<div className="text-[10px]" style={{ color: COLORS.medium }}>
|
||
({Math.round(skill.tierPcts.AUGMENT)}%)
|
||
</div>
|
||
</td>
|
||
<td className="py-3 text-center">
|
||
<div className="font-bold" style={{ color: skill.tierPcts['HUMAN-ONLY'] >= 50 ? COLORS.dark : COLORS.medium }}>
|
||
{skill.tierStats['HUMAN-ONLY'].count}
|
||
</div>
|
||
<div className="text-[10px]" style={{ color: COLORS.medium }}>
|
||
({Math.round(skill.tierPcts['HUMAN-ONLY'])}%)
|
||
</div>
|
||
</td>
|
||
|
||
{/* Action */}
|
||
<td className="py-3 pl-4">
|
||
<div className="font-medium text-xs" style={{ color: skill.isWarning ? COLORS.dark : COLORS.primary }}>
|
||
{skill.action}
|
||
</div>
|
||
<div className="text-[10px] mt-0.5" style={{ color: COLORS.medium }}>
|
||
{skill.tierPcts['HUMAN-ONLY'] >= 50 ? (
|
||
<span>Vol en T4: {Math.round(skill.tierPcts['HUMAN-ONLY'])}% ⚠️</span>
|
||
) : (
|
||
<span>Vol en T1+T2: {Math.round(skill.t1t2Pct)}%</span>
|
||
)}
|
||
</div>
|
||
</td>
|
||
</tr>
|
||
))}
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
|
||
{/* Insights */}
|
||
<div className="mt-4 pt-4 space-y-2" style={{ borderTop: `2px solid ${COLORS.light}` }}>
|
||
{quickWins.length > 0 && (
|
||
<p className="text-xs" style={{ color: COLORS.dark }}>
|
||
<span style={{ color: COLORS.primary }}>🎯 Quick Wins:</span>{' '}
|
||
{quickWins.map(s => s.skill).join(' + ')} tienen >60% volumen en T1+T2
|
||
</p>
|
||
)}
|
||
{alerts.length > 0 && (
|
||
<p className="text-xs" style={{ color: COLORS.dark }}>
|
||
<span>⚠️ Atención:</span>{' '}
|
||
{alerts.map(s => `${s.skill} tiene ${Math.round(s.tierPcts['HUMAN-ONLY'])}% en HUMAN`).join('; ')} → priorizar en Wave 1
|
||
</p>
|
||
)}
|
||
{quickWins.length === 0 && alerts.length === 0 && (
|
||
<p className="text-xs" style={{ color: COLORS.medium }}>
|
||
Distribución equilibrada entre tiers. Revisar colas individuales para priorización.
|
||
</p>
|
||
)}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// Skills Heatmap/Table (fallback cuando no hay drilldownData)
|
||
function SkillsReadinessTable({ heatmapData }: { heatmapData: HeatmapDataPoint[] }) {
|
||
const sortedData = [...heatmapData].sort((a, b) => b.automation_readiness - a.automation_readiness);
|
||
|
||
const formatVolume = (v: number) => v >= 1000 ? `${Math.round(v / 1000)}K` : v.toString();
|
||
|
||
return (
|
||
<div className="rounded-lg border overflow-hidden" style={{ backgroundColor: COLORS.white, borderColor: COLORS.medium }}>
|
||
<div className="px-5 py-3" style={{ backgroundColor: COLORS.dark }}>
|
||
<h3 className="font-bold text-sm" style={{ color: COLORS.white }}>Análisis por Skill</h3>
|
||
</div>
|
||
<div className="overflow-x-auto">
|
||
<table className="w-full text-sm">
|
||
<thead>
|
||
<tr style={{ color: COLORS.medium }}>
|
||
<th className="px-4 py-2 text-left font-medium">Skill</th>
|
||
<th className="px-4 py-2 text-right font-medium">Volumen</th>
|
||
<th className="px-4 py-2 text-right font-medium">AHT</th>
|
||
<th className="px-4 py-2 text-right font-medium">CV AHT</th>
|
||
<th className="px-4 py-2 text-center font-medium">Score</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
{sortedData.map((item, idx) => (
|
||
<tr key={item.skill} style={{ borderTop: idx > 0 ? `1px solid ${COLORS.light}` : undefined }}>
|
||
<td className="px-4 py-3 font-medium" style={{ color: COLORS.dark }}>{item.skill}</td>
|
||
<td className="px-4 py-3 text-right" style={{ color: COLORS.dark }}>{formatVolume(item.volume)}</td>
|
||
<td className="px-4 py-3 text-right" style={{ color: COLORS.medium }}>{item.aht_seconds}s</td>
|
||
<td className="px-4 py-3 text-right" style={{ color: item.variability.cv_aht > 75 ? COLORS.dark : COLORS.medium }}>
|
||
{item.variability.cv_aht.toFixed(0)}%
|
||
</td>
|
||
<td className="px-4 py-3 text-center">
|
||
<span className="px-2 py-1 rounded text-xs font-bold" style={{ backgroundColor: COLORS.light, color: COLORS.primary }}>
|
||
{(item.automation_readiness / 10).toFixed(1)}
|
||
</span>
|
||
</td>
|
||
</tr>
|
||
))}
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// Formatear AHT en formato mm:ss
|
||
function formatAHT(seconds: number): string {
|
||
const mins = Math.floor(seconds / 60);
|
||
const secs = Math.round(seconds % 60);
|
||
return `${mins}:${secs.toString().padStart(2, '0')}`;
|
||
}
|
||
|
||
// v3.4: Fila expandible por queue_skill (muestra original_queue_id al expandir con Tiers)
|
||
function ExpandableSkillRow({
|
||
dataPoint,
|
||
idx,
|
||
isExpanded,
|
||
onToggle
|
||
}: {
|
||
dataPoint: DrilldownDataPoint;
|
||
idx: number;
|
||
isExpanded: boolean;
|
||
onToggle: () => void;
|
||
}) {
|
||
// v3.4: Contar colas por Tier
|
||
const tierCounts = {
|
||
AUTOMATE: dataPoint.originalQueues.filter(q => q.tier === 'AUTOMATE').length,
|
||
ASSIST: dataPoint.originalQueues.filter(q => q.tier === 'ASSIST').length,
|
||
AUGMENT: dataPoint.originalQueues.filter(q => q.tier === 'AUGMENT').length,
|
||
'HUMAN-ONLY': dataPoint.originalQueues.filter(q => q.tier === 'HUMAN-ONLY').length
|
||
};
|
||
|
||
// Tier dominante del skill (por volumen)
|
||
const tierVolumes = {
|
||
AUTOMATE: dataPoint.originalQueues.filter(q => q.tier === 'AUTOMATE').reduce((s, q) => s + q.volume, 0),
|
||
ASSIST: dataPoint.originalQueues.filter(q => q.tier === 'ASSIST').reduce((s, q) => s + q.volume, 0),
|
||
AUGMENT: dataPoint.originalQueues.filter(q => q.tier === 'AUGMENT').reduce((s, q) => s + q.volume, 0),
|
||
'HUMAN-ONLY': dataPoint.originalQueues.filter(q => q.tier === 'HUMAN-ONLY').reduce((s, q) => s + q.volume, 0)
|
||
};
|
||
|
||
const dominantTier = (Object.keys(tierVolumes) as AgenticTier[]).reduce((a, b) =>
|
||
tierVolumes[a] > tierVolumes[b] ? a : b
|
||
);
|
||
|
||
const potentialSavings = dataPoint.annualCost ? Math.round(dataPoint.annualCost * 0.35 / 12) : 0;
|
||
const automateQueues = tierCounts.AUTOMATE;
|
||
|
||
return (
|
||
<>
|
||
<motion.tr
|
||
initial={{ opacity: 0 }}
|
||
animate={{ opacity: 1 }}
|
||
transition={{ delay: idx * 0.05 }}
|
||
className={`hover:bg-emerald-50/50 cursor-pointer ${isExpanded ? 'bg-emerald-50/40 border-l-4 border-l-emerald-500' : ''}`}
|
||
onClick={onToggle}
|
||
>
|
||
<td className="px-3 py-3 text-left">
|
||
<button className="flex items-center gap-1 text-gray-400 hover:text-gray-600">
|
||
{isExpanded ? <ChevronDown className="w-4 h-4" /> : <ChevronRight className="w-4 h-4" />}
|
||
</button>
|
||
</td>
|
||
<td className="px-3 py-3">
|
||
<div className="flex items-center gap-2">
|
||
<span className="text-sm font-semibold text-gray-800">{dataPoint.skill}</span>
|
||
<span className="px-1.5 py-0.5 bg-gray-100 text-gray-500 text-xs rounded">
|
||
{dataPoint.originalQueues.length} colas
|
||
</span>
|
||
{/* v3.4: Mostrar tiers disponibles */}
|
||
{automateQueues > 0 && (
|
||
<span className="px-1.5 py-0.5 bg-emerald-100 text-emerald-600 text-xs rounded flex items-center gap-1">
|
||
<Sparkles className="w-3 h-3" />
|
||
{automateQueues} AUTOMATE
|
||
</span>
|
||
)}
|
||
{tierCounts.ASSIST > 0 && (
|
||
<span className="px-1.5 py-0.5 bg-blue-100 text-blue-600 text-xs rounded">
|
||
{tierCounts.ASSIST} ASSIST
|
||
</span>
|
||
)}
|
||
</div>
|
||
</td>
|
||
<td className="px-3 py-3 text-sm text-gray-700 text-right font-semibold">{dataPoint.volume.toLocaleString()}</td>
|
||
<td className="px-3 py-3 text-sm text-gray-600 text-right">{formatAHT(dataPoint.aht_mean)}</td>
|
||
<td className="px-3 py-3 text-right">
|
||
<span className={`text-sm font-semibold ${dataPoint.cv_aht < 75 ? 'text-emerald-600' : 'text-amber-600'}`}>
|
||
{dataPoint.cv_aht.toFixed(0)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-3 text-right">
|
||
<span className="text-sm text-emerald-600 font-medium">{formatCurrency(potentialSavings)}/mes</span>
|
||
</td>
|
||
<td className="px-3 py-3 text-center">
|
||
<TierBadge tier={dominantTier} />
|
||
</td>
|
||
</motion.tr>
|
||
|
||
{/* Fila expandida con tabla de original_queue_id */}
|
||
{isExpanded && (
|
||
<motion.tr
|
||
initial={{ opacity: 0 }}
|
||
animate={{ opacity: 1 }}
|
||
className="bg-emerald-50/20"
|
||
>
|
||
<td colSpan={7} className="p-0">
|
||
<div className="border-l-4 border-l-emerald-300 ml-3">
|
||
{/* Header de resumen con Tiers */}
|
||
<div className="px-6 py-3 bg-emerald-50/50 border-b border-emerald-100">
|
||
<div className="flex items-center justify-between">
|
||
<div className="flex items-center gap-4 text-xs">
|
||
<span className="text-gray-600">
|
||
<strong className="text-gray-800">{dataPoint.originalQueues.length}</strong> colas
|
||
</span>
|
||
<span className="text-gray-400">|</span>
|
||
{/* v3.4: Mostrar distribución por Tier */}
|
||
{tierCounts.AUTOMATE > 0 && (
|
||
<span className="text-emerald-600 flex items-center gap-1">
|
||
<Sparkles className="w-3 h-3" />
|
||
<strong>{tierCounts.AUTOMATE}</strong> AUTOMATE
|
||
</span>
|
||
)}
|
||
{tierCounts.ASSIST > 0 && (
|
||
<span className="text-blue-600">
|
||
<strong>{tierCounts.ASSIST}</strong> ASSIST
|
||
</span>
|
||
)}
|
||
{tierCounts.AUGMENT > 0 && (
|
||
<span className="text-amber-600">
|
||
<strong>{tierCounts.AUGMENT}</strong> AUGMENT
|
||
</span>
|
||
)}
|
||
{tierCounts['HUMAN-ONLY'] > 0 && (
|
||
<span className="text-gray-500">
|
||
<strong>{tierCounts['HUMAN-ONLY']}</strong> HUMAN
|
||
</span>
|
||
)}
|
||
<span className="text-gray-400">|</span>
|
||
<span className="text-gray-600">
|
||
Coste: <strong className="text-gray-800">{formatCurrency(dataPoint.annualCost || 0)}/año</strong>
|
||
</span>
|
||
<span className="text-gray-400">|</span>
|
||
<span className="text-gray-600">
|
||
Ahorro: <strong className="text-emerald-600">{formatCurrency(potentialSavings * 12)}/año</strong>
|
||
</span>
|
||
</div>
|
||
<div className="flex items-center gap-2 text-xs text-gray-500">
|
||
<span>FCR: {(dataPoint.fcr_tecnico ?? (100 - dataPoint.transfer_rate)).toFixed(0)}%</span>
|
||
<span className="text-gray-300">|</span>
|
||
<span>Transfer: {dataPoint.transfer_rate.toFixed(0)}%</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Tabla de colas (original_queue_id) con Tiers */}
|
||
<div className="overflow-x-auto">
|
||
<table className="w-full text-sm">
|
||
<thead>
|
||
<tr className="text-xs text-gray-500 uppercase tracking-wider bg-gray-50/80 border-b border-gray-200">
|
||
<th className="px-4 py-2 text-left font-medium">Cola (original_queue_id)</th>
|
||
<th className="px-3 py-2 text-right font-medium">Volumen</th>
|
||
<th className="px-3 py-2 text-right font-medium">AHT</th>
|
||
<th className="px-3 py-2 text-right font-medium">CV</th>
|
||
<th className="px-3 py-2 text-right font-medium">Transfer</th>
|
||
<th className="px-3 py-2 text-right font-medium">FCR</th>
|
||
<th className="px-3 py-2 text-center font-medium">Score</th>
|
||
<th className="px-3 py-2 text-center font-medium">Tier</th>
|
||
<th className="px-3 py-2 text-left font-medium">Red Flags</th>
|
||
<th className="px-3 py-2 text-right font-medium">Ahorro/mes</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody className="divide-y divide-slate-100">
|
||
{dataPoint.originalQueues.map((queue, queueIdx) => {
|
||
const queueMonthlySavings = queue.annualCost ? Math.round(queue.annualCost * 0.35 / 12) : 0;
|
||
const tierStyle = getTierStyle(queue.tier);
|
||
const redFlags = detectRedFlags(queue);
|
||
|
||
return (
|
||
<tr
|
||
key={`${queue.original_queue_id}-${queueIdx}`}
|
||
className={`hover:bg-white/50 ${queue.tier === 'AUTOMATE' ? 'bg-emerald-50/30' : queue.tier === 'ASSIST' ? 'bg-blue-50/20' : queue.tier === 'HUMAN-ONLY' && redFlags.length > 0 ? 'bg-red-50/20' : ''}`}
|
||
>
|
||
<td className="px-4 py-2 font-medium text-gray-800 max-w-[250px]">
|
||
<div className="flex items-center gap-2">
|
||
<span className="truncate block" title={queue.original_queue_id}>
|
||
{queue.original_queue_id}
|
||
</span>
|
||
{/* Mostrar motivo del tier en tooltip */}
|
||
{queue.tierMotivo && (
|
||
<InfoTooltip content={<div className="text-xs">{queue.tierMotivo}</div>}>
|
||
<Info className="w-3 h-3 text-gray-400" />
|
||
</InfoTooltip>
|
||
)}
|
||
</div>
|
||
</td>
|
||
<td className="px-3 py-2 text-gray-700 text-right">{queue.volume.toLocaleString()}</td>
|
||
<td className="px-3 py-2 text-gray-600 text-right">{formatAHT(queue.aht_mean)}</td>
|
||
<td className="px-3 py-2 text-right">
|
||
<span className={`font-medium ${queue.cv_aht < 75 ? 'text-emerald-600' : queue.cv_aht < 90 ? 'text-blue-600' : queue.cv_aht > 120 ? 'text-red-600' : 'text-amber-600'}`}>
|
||
{queue.cv_aht.toFixed(0)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2 text-right">
|
||
<span className={`font-medium ${queue.transfer_rate > 50 ? 'text-red-600' : queue.transfer_rate > 30 ? 'text-amber-600' : 'text-gray-600'}`}>
|
||
{queue.transfer_rate.toFixed(0)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2 text-gray-600 text-right">{(queue.fcr_tecnico ?? (100 - queue.transfer_rate)).toFixed(0)}%</td>
|
||
<td className="px-3 py-2 text-center">
|
||
{queue.scoreBreakdown ? (
|
||
<InfoTooltip content={<ScoreBreakdownTooltip breakdown={queue.scoreBreakdown} />}>
|
||
<span className={`px-1.5 py-0.5 rounded text-xs font-medium cursor-help ${tierStyle.bg} ${tierStyle.text}`}>
|
||
{queue.agenticScore.toFixed(1)}
|
||
</span>
|
||
</InfoTooltip>
|
||
) : (
|
||
<span className={`px-1.5 py-0.5 rounded text-xs font-medium ${tierStyle.bg} ${tierStyle.text}`}>
|
||
{queue.agenticScore.toFixed(1)}
|
||
</span>
|
||
)}
|
||
</td>
|
||
<td className="px-3 py-2 text-center">
|
||
<TierBadge tier={queue.tier} />
|
||
</td>
|
||
<td className="px-3 py-2">
|
||
{redFlags.length > 0 ? (
|
||
<div className="flex flex-wrap gap-1">
|
||
{redFlags.map(flag => (
|
||
<RedFlagBadge key={flag.config.id} flag={flag} size="sm" />
|
||
))}
|
||
</div>
|
||
) : (
|
||
<span className="text-xs text-gray-400">—</span>
|
||
)}
|
||
</td>
|
||
<td className="px-3 py-2 text-right text-emerald-600 font-medium">
|
||
{formatCurrency(queueMonthlySavings)}
|
||
</td>
|
||
</tr>
|
||
);
|
||
})}
|
||
</tbody>
|
||
{/* Fila de totales */}
|
||
<tfoot>
|
||
<tr className="bg-emerald-50/50 font-semibold text-gray-700 border-t-2 border-emerald-200">
|
||
<td className="px-4 py-2">TOTAL ({dataPoint.originalQueues.length} colas)</td>
|
||
<td className="px-3 py-2 text-right">{dataPoint.volume.toLocaleString()}</td>
|
||
<td className="px-3 py-2 text-right">{formatAHT(dataPoint.aht_mean)}</td>
|
||
<td className="px-3 py-2 text-right text-emerald-600">{dataPoint.cv_aht.toFixed(0)}%</td>
|
||
<td className="px-3 py-2 text-right">{dataPoint.transfer_rate.toFixed(0)}%</td>
|
||
<td className="px-3 py-2 text-right">{(dataPoint.fcr_tecnico ?? (100 - dataPoint.transfer_rate)).toFixed(0)}%</td>
|
||
<td className="px-3 py-2 text-center">
|
||
<span className="px-1.5 py-0.5 rounded text-xs bg-gray-200 text-gray-700">
|
||
{dataPoint.agenticScore.toFixed(1)}
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2 text-center">
|
||
<TierBadge tier={dominantTier} />
|
||
</td>
|
||
<td className="px-3 py-2 text-gray-400 text-xs">—</td>
|
||
<td className="px-3 py-2 text-right text-emerald-600">{formatCurrency(potentialSavings)}</td>
|
||
</tr>
|
||
</tfoot>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
</td>
|
||
</motion.tr>
|
||
)}
|
||
</>
|
||
);
|
||
}
|
||
|
||
// ============================================
|
||
// v4.0: NUEVAS SECCIONES POR TIER
|
||
// ============================================
|
||
|
||
// Configuración de colores y estilos por tier
|
||
const TIER_SECTION_CONFIG: Record<AgenticTier, {
|
||
color: string;
|
||
bgColor: string;
|
||
borderColor: string;
|
||
gradientFrom: string;
|
||
gradientTo: string;
|
||
icon: React.ElementType;
|
||
title: string;
|
||
subtitle: string;
|
||
emptyMessage: string;
|
||
}> = {
|
||
'AUTOMATE': {
|
||
color: '#10b981',
|
||
bgColor: '#d1fae5',
|
||
borderColor: '#10b98140',
|
||
gradientFrom: 'from-emerald-50',
|
||
gradientTo: 'to-emerald-100/50',
|
||
icon: Sparkles,
|
||
title: 'Colas AUTOMATE',
|
||
subtitle: 'Listas para automatización completa con agente virtual (Score ≥7.5)',
|
||
emptyMessage: 'No hay colas clasificadas como AUTOMATE'
|
||
},
|
||
'ASSIST': {
|
||
color: '#3b82f6',
|
||
bgColor: '#dbeafe',
|
||
borderColor: '#3b82f640',
|
||
gradientFrom: 'from-blue-50',
|
||
gradientTo: 'to-blue-100/50',
|
||
icon: Bot,
|
||
title: 'Colas ASSIST',
|
||
subtitle: 'Candidatas a Copilot - IA asiste al agente humano (Score 5.5-7.5)',
|
||
emptyMessage: 'No hay colas clasificadas como ASSIST'
|
||
},
|
||
'AUGMENT': {
|
||
color: '#f59e0b',
|
||
bgColor: '#fef3c7',
|
||
borderColor: '#f59e0b40',
|
||
gradientFrom: 'from-amber-50',
|
||
gradientTo: 'to-amber-100/50',
|
||
icon: TrendingUp,
|
||
title: 'Colas AUGMENT',
|
||
subtitle: 'Requieren optimización previa: estandarizar procesos, reducir variabilidad (Score 3.5-5.5)',
|
||
emptyMessage: 'No hay colas clasificadas como AUGMENT'
|
||
},
|
||
'HUMAN-ONLY': {
|
||
color: '#6b7280',
|
||
bgColor: '#f3f4f6',
|
||
borderColor: '#6b728040',
|
||
gradientFrom: 'from-gray-50',
|
||
gradientTo: 'to-gray-100/50',
|
||
icon: Users,
|
||
title: 'Colas HUMAN-ONLY',
|
||
subtitle: 'No aptas para automatización: volumen insuficiente, datos de baja calidad o complejidad extrema',
|
||
emptyMessage: 'No hay colas clasificadas como HUMAN-ONLY'
|
||
}
|
||
};
|
||
|
||
// Componente de tabla de colas por Tier (AUTOMATE, ASSIST, AUGMENT)
|
||
function TierQueueSection({
|
||
drilldownData,
|
||
tier
|
||
}: {
|
||
drilldownData: DrilldownDataPoint[];
|
||
tier: 'AUTOMATE' | 'ASSIST' | 'AUGMENT';
|
||
}) {
|
||
const [expandedSkills, setExpandedSkills] = useState<Set<string>>(new Set());
|
||
const config = TIER_SECTION_CONFIG[tier];
|
||
const IconComponent = config.icon;
|
||
|
||
// Extraer todas las colas del tier específico, agrupadas por skill
|
||
const skillsWithTierQueues = drilldownData
|
||
.map(skill => ({
|
||
skill: skill.skill,
|
||
queues: skill.originalQueues.filter(q => q.tier === tier),
|
||
totalVolume: skill.originalQueues.filter(q => q.tier === tier).reduce((s, q) => s + q.volume, 0),
|
||
totalAnnualCost: skill.originalQueues.filter(q => q.tier === tier).reduce((s, q) => s + (q.annualCost || 0), 0)
|
||
}))
|
||
.filter(s => s.queues.length > 0)
|
||
.sort((a, b) => b.totalVolume - a.totalVolume);
|
||
|
||
const totalQueues = skillsWithTierQueues.reduce((sum, s) => sum + s.queues.length, 0);
|
||
const totalVolume = skillsWithTierQueues.reduce((sum, s) => sum + s.totalVolume, 0);
|
||
const totalCost = skillsWithTierQueues.reduce((sum, s) => sum + s.totalAnnualCost, 0);
|
||
|
||
// Calcular ahorro potencial según tier
|
||
const savingsRate = tier === 'AUTOMATE' ? 0.70 : tier === 'ASSIST' ? 0.30 : 0.15;
|
||
const potentialSavings = Math.round(totalCost * savingsRate);
|
||
|
||
const toggleSkill = (skill: string) => {
|
||
const newExpanded = new Set(expandedSkills);
|
||
if (newExpanded.has(skill)) {
|
||
newExpanded.delete(skill);
|
||
} else {
|
||
newExpanded.add(skill);
|
||
}
|
||
setExpandedSkills(newExpanded);
|
||
};
|
||
|
||
if (totalQueues === 0) {
|
||
return null;
|
||
}
|
||
|
||
return (
|
||
<div className="bg-white rounded-lg border-2 overflow-hidden shadow-sm" style={{ borderColor: config.borderColor }}>
|
||
{/* Header */}
|
||
<div className={`px-5 py-4 border-b bg-gradient-to-r ${config.gradientFrom} ${config.gradientTo}`}>
|
||
<div className="flex items-center justify-between">
|
||
<div>
|
||
<h3 className="text-lg font-bold flex items-center gap-2" style={{ color: config.color }}>
|
||
<IconComponent className="w-5 h-5" />
|
||
{config.title}
|
||
</h3>
|
||
<p className="text-sm mt-1" style={{ color: config.color + 'cc' }}>
|
||
{config.subtitle}
|
||
</p>
|
||
</div>
|
||
<div className="text-right">
|
||
<span className="text-3xl font-bold" style={{ color: config.color }}>{totalQueues}</span>
|
||
<p className="text-sm" style={{ color: config.color + 'cc' }}>colas en {skillsWithTierQueues.length} skills</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Resumen */}
|
||
<div className="px-5 py-3 border-b flex items-center justify-between text-sm" style={{ backgroundColor: config.bgColor + '40' }}>
|
||
<div className="flex gap-4 flex-wrap">
|
||
<span className="text-gray-600">
|
||
Volumen: <strong className="text-gray-800">{totalVolume.toLocaleString()}</strong> int/mes
|
||
</span>
|
||
<span className="text-gray-600">
|
||
Coste: <strong className="text-gray-800">{formatCurrency(totalCost)}</strong>/año
|
||
</span>
|
||
</div>
|
||
<span className="font-bold" style={{ color: config.color }}>
|
||
Ahorro potencial: {formatCurrency(potentialSavings)}/año
|
||
</span>
|
||
</div>
|
||
|
||
{/* Tabla por Business Unit (skill) */}
|
||
<div className="overflow-x-auto">
|
||
<table className="w-full">
|
||
<thead>
|
||
<tr className="text-xs text-gray-500 uppercase tracking-wider bg-gray-50 border-b border-gray-200">
|
||
<th className="px-3 py-2.5 text-left font-medium w-8"></th>
|
||
<th className="px-3 py-2.5 text-left font-medium">Business Unit (Skill)</th>
|
||
<th className="px-3 py-2.5 text-center font-medium">Colas</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">Volumen</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">AHT Prom.</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">CV Prom.</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">FCR</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">Ahorro Potencial</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody className="divide-y divide-gray-100">
|
||
{skillsWithTierQueues.map((skillData, idx) => {
|
||
const isExpanded = expandedSkills.has(skillData.skill);
|
||
const avgAHT = skillData.queues.reduce((s, q) => s + q.aht_mean * q.volume, 0) / skillData.totalVolume;
|
||
const avgCV = skillData.queues.reduce((s, q) => s + q.cv_aht * q.volume, 0) / skillData.totalVolume;
|
||
const avgFCR = skillData.queues.reduce((s, q) => s + (q.fcr_tecnico ?? (100 - q.transfer_rate)) * q.volume, 0) / skillData.totalVolume;
|
||
const skillSavings = Math.round(skillData.totalAnnualCost * savingsRate);
|
||
|
||
return (
|
||
<React.Fragment key={skillData.skill}>
|
||
{/* Fila del Skill */}
|
||
<tr
|
||
className="hover:bg-gray-50 cursor-pointer"
|
||
onClick={() => toggleSkill(skillData.skill)}
|
||
>
|
||
<td className="px-3 py-3 text-center">
|
||
{isExpanded ? (
|
||
<ChevronDown className="w-4 h-4 text-gray-400" />
|
||
) : (
|
||
<ChevronRight className="w-4 h-4 text-gray-400" />
|
||
)}
|
||
</td>
|
||
<td className="px-3 py-3">
|
||
<span className="font-medium text-gray-800">{skillData.skill}</span>
|
||
</td>
|
||
<td className="px-3 py-3 text-center">
|
||
<span className="px-2 py-0.5 rounded-full text-xs font-medium" style={{ backgroundColor: config.bgColor, color: config.color }}>
|
||
{skillData.queues.length}
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-3 text-right font-medium text-gray-700">
|
||
{skillData.totalVolume.toLocaleString()}
|
||
</td>
|
||
<td className="px-3 py-3 text-right text-gray-600">
|
||
{formatAHT(avgAHT)}
|
||
</td>
|
||
<td className="px-3 py-3 text-right">
|
||
<span className={avgCV < 75 ? 'text-emerald-600' : avgCV < 100 ? 'text-amber-600' : 'text-red-600'}>
|
||
{avgCV.toFixed(0)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-3 text-right text-gray-600">
|
||
{avgFCR.toFixed(0)}%
|
||
</td>
|
||
<td className="px-3 py-3 text-right font-medium" style={{ color: config.color }}>
|
||
{formatCurrency(skillSavings)}
|
||
</td>
|
||
</tr>
|
||
|
||
{/* Detalle expandible: colas individuales */}
|
||
{isExpanded && (
|
||
<tr>
|
||
<td colSpan={8} className="px-0 py-0">
|
||
<div className="mx-4 my-2 rounded-lg border overflow-hidden" style={{ borderColor: config.borderColor, backgroundColor: config.bgColor + '20' }}>
|
||
<table className="w-full text-sm">
|
||
<thead>
|
||
<tr className="text-xs text-gray-500 uppercase tracking-wider" style={{ backgroundColor: config.bgColor + '60' }}>
|
||
<th className="px-4 py-2 text-left font-medium">Cola (ID)</th>
|
||
<th className="px-3 py-2 text-right font-medium">Volumen</th>
|
||
<th className="px-3 py-2 text-right font-medium">AHT</th>
|
||
<th className="px-3 py-2 text-right font-medium">CV</th>
|
||
<th className="px-3 py-2 text-right font-medium">Transfer</th>
|
||
<th className="px-3 py-2 text-right font-medium">FCR</th>
|
||
<th className="px-3 py-2 text-center font-medium">Score</th>
|
||
<th className="px-3 py-2 text-right font-medium">Ahorro</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody className="divide-y divide-gray-100">
|
||
{skillData.queues.map((queue, qIdx) => {
|
||
const queueSavings = Math.round((queue.annualCost || 0) * savingsRate);
|
||
return (
|
||
<tr key={queue.original_queue_id} className="hover:bg-white/50">
|
||
<td className="px-4 py-2 font-medium text-gray-700 truncate max-w-[200px]" title={queue.original_queue_id}>
|
||
{queue.original_queue_id}
|
||
</td>
|
||
<td className="px-3 py-2 text-right text-gray-600">{queue.volume.toLocaleString()}</td>
|
||
<td className="px-3 py-2 text-right text-gray-600">{formatAHT(queue.aht_mean)}</td>
|
||
<td className="px-3 py-2 text-right">
|
||
<span className={queue.cv_aht < 75 ? 'text-emerald-600' : queue.cv_aht < 100 ? 'text-amber-600' : 'text-red-600'}>
|
||
{queue.cv_aht.toFixed(0)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2 text-right text-gray-600">{queue.transfer_rate.toFixed(0)}%</td>
|
||
<td className="px-3 py-2 text-right text-gray-600">{(queue.fcr_tecnico ?? (100 - queue.transfer_rate)).toFixed(0)}%</td>
|
||
<td className="px-3 py-2 text-center">
|
||
<span className="px-1.5 py-0.5 rounded text-xs font-medium" style={{ backgroundColor: config.bgColor, color: config.color }}>
|
||
{queue.agenticScore.toFixed(1)}
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2 text-right font-medium" style={{ color: config.color }}>
|
||
{formatCurrency(queueSavings)}
|
||
</td>
|
||
</tr>
|
||
);
|
||
})}
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</td>
|
||
</tr>
|
||
)}
|
||
</React.Fragment>
|
||
);
|
||
})}
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
|
||
{/* Footer */}
|
||
<div className="px-5 py-3 bg-gray-50 border-t border-gray-200 text-xs text-gray-500">
|
||
Click en un skill para ver el detalle de colas individuales
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// Componente para colas HUMAN-ONLY agrupadas por razón/red flag
|
||
function HumanOnlyByReasonSection({ drilldownData }: { drilldownData: DrilldownDataPoint[] }) {
|
||
const [expandedReasons, setExpandedReasons] = useState<Set<string>>(new Set());
|
||
const config = TIER_SECTION_CONFIG['HUMAN-ONLY'];
|
||
|
||
// Extraer todas las colas HUMAN-ONLY
|
||
const allHumanOnlyQueues = drilldownData.flatMap(skill =>
|
||
skill.originalQueues
|
||
.filter(q => q.tier === 'HUMAN-ONLY')
|
||
.map(q => ({ ...q, skillName: skill.skill }))
|
||
);
|
||
|
||
if (allHumanOnlyQueues.length === 0) {
|
||
return null;
|
||
}
|
||
|
||
// Agrupar por razón principal (red flag dominante o "Sin red flags")
|
||
const queuesByReason: Record<string, typeof allHumanOnlyQueues> = {};
|
||
|
||
allHumanOnlyQueues.forEach(queue => {
|
||
const flags = detectRedFlags(queue);
|
||
// Determinar razón principal (prioridad: cv_high > transfer_high > volume_low > valid_low)
|
||
let reason = 'Sin Red Flags específicos';
|
||
let reasonId = 'no_flags';
|
||
|
||
if (flags.length > 0) {
|
||
// Ordenar por severidad implícita
|
||
const priorityOrder = ['cv_high', 'transfer_high', 'volume_low', 'valid_low'];
|
||
const sortedFlags = [...flags].sort((a, b) =>
|
||
priorityOrder.indexOf(a.config.id) - priorityOrder.indexOf(b.config.id)
|
||
);
|
||
reasonId = sortedFlags[0].config.id;
|
||
reason = sortedFlags[0].config.label;
|
||
}
|
||
|
||
if (!queuesByReason[reasonId]) {
|
||
queuesByReason[reasonId] = [];
|
||
}
|
||
queuesByReason[reasonId].push(queue);
|
||
});
|
||
|
||
// Convertir a array y ordenar por volumen
|
||
const reasonGroups = Object.entries(queuesByReason)
|
||
.map(([reasonId, queues]) => {
|
||
const flagConfig = RED_FLAG_CONFIGS.find(c => c.id === reasonId);
|
||
return {
|
||
reasonId,
|
||
reason: flagConfig?.label || 'Sin Red Flags específicos',
|
||
description: flagConfig?.description || 'Colas que no cumplen criterios de automatización',
|
||
action: flagConfig ? getActionForFlag(flagConfig.id) : 'Revisar manualmente',
|
||
queues,
|
||
totalVolume: queues.reduce((s, q) => s + q.volume, 0),
|
||
queueCount: queues.length
|
||
};
|
||
})
|
||
.sort((a, b) => b.totalVolume - a.totalVolume);
|
||
|
||
const totalQueues = allHumanOnlyQueues.length;
|
||
const totalVolume = allHumanOnlyQueues.reduce((s, q) => s + q.volume, 0);
|
||
|
||
const toggleReason = (reasonId: string) => {
|
||
const newExpanded = new Set(expandedReasons);
|
||
if (newExpanded.has(reasonId)) {
|
||
newExpanded.delete(reasonId);
|
||
} else {
|
||
newExpanded.add(reasonId);
|
||
}
|
||
setExpandedReasons(newExpanded);
|
||
};
|
||
|
||
function getActionForFlag(flagId: string): string {
|
||
switch (flagId) {
|
||
case 'cv_high': return 'Estandarizar procesos y scripts';
|
||
case 'transfer_high': return 'Simplificar flujo, capacitar agentes';
|
||
case 'volume_low': return 'Consolidar con colas similares';
|
||
case 'valid_low': return 'Mejorar captura de datos';
|
||
default: return 'Revisar manualmente';
|
||
}
|
||
}
|
||
|
||
return (
|
||
<div className="bg-white rounded-lg border-2 overflow-hidden shadow-sm" style={{ borderColor: config.borderColor }}>
|
||
{/* Header */}
|
||
<div className={`px-5 py-4 border-b bg-gradient-to-r ${config.gradientFrom} ${config.gradientTo}`}>
|
||
<div className="flex items-center justify-between">
|
||
<div>
|
||
<h3 className="text-lg font-bold flex items-center gap-2" style={{ color: config.color }}>
|
||
<Users className="w-5 h-5" />
|
||
{config.title}
|
||
</h3>
|
||
<p className="text-sm mt-1 text-gray-600">
|
||
{config.subtitle}
|
||
</p>
|
||
</div>
|
||
<div className="text-right">
|
||
<span className="text-3xl font-bold" style={{ color: config.color }}>{totalQueues}</span>
|
||
<p className="text-sm text-gray-500">colas agrupadas por {reasonGroups.length} razones</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Resumen */}
|
||
<div className="px-5 py-3 border-b bg-gray-50 flex items-center justify-between text-sm">
|
||
<span className="text-gray-600">
|
||
Volumen total: <strong className="text-gray-800">{totalVolume.toLocaleString()}</strong> int/mes
|
||
</span>
|
||
<span className="text-gray-500">
|
||
Estas colas requieren intervención antes de considerar automatización
|
||
</span>
|
||
</div>
|
||
|
||
{/* Tabla agrupada por razón */}
|
||
<div className="overflow-x-auto">
|
||
<table className="w-full">
|
||
<thead>
|
||
<tr className="text-xs text-gray-500 uppercase tracking-wider bg-gray-50 border-b border-gray-200">
|
||
<th className="px-3 py-2.5 text-left font-medium w-8"></th>
|
||
<th className="px-3 py-2.5 text-left font-medium">Razón / Red Flag</th>
|
||
<th className="px-3 py-2.5 text-center font-medium">Colas</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">Volumen</th>
|
||
<th className="px-3 py-2.5 text-left font-medium">Acción Recomendada</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody className="divide-y divide-gray-100">
|
||
{reasonGroups.map((group) => {
|
||
const isExpanded = expandedReasons.has(group.reasonId);
|
||
|
||
return (
|
||
<React.Fragment key={group.reasonId}>
|
||
{/* Fila de la razón */}
|
||
<tr
|
||
className="hover:bg-gray-50 cursor-pointer"
|
||
onClick={() => toggleReason(group.reasonId)}
|
||
>
|
||
<td className="px-3 py-3 text-center">
|
||
{isExpanded ? (
|
||
<ChevronDown className="w-4 h-4 text-gray-400" />
|
||
) : (
|
||
<ChevronRight className="w-4 h-4 text-gray-400" />
|
||
)}
|
||
</td>
|
||
<td className="px-3 py-3">
|
||
<div className="flex items-center gap-2">
|
||
<AlertTriangle className="w-4 h-4 text-amber-500" />
|
||
<div>
|
||
<span className="font-medium text-gray-800">{group.reason}</span>
|
||
<p className="text-xs text-gray-500">{group.description}</p>
|
||
</div>
|
||
</div>
|
||
</td>
|
||
<td className="px-3 py-3 text-center">
|
||
<span className="px-2 py-0.5 rounded-full text-xs font-medium bg-gray-100 text-gray-700">
|
||
{group.queueCount}
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-3 text-right font-medium text-gray-700">
|
||
{group.totalVolume.toLocaleString()}
|
||
</td>
|
||
<td className="px-3 py-3">
|
||
<span className="text-xs px-2 py-1 rounded bg-amber-50 text-amber-700 border border-amber-200">
|
||
{group.action}
|
||
</span>
|
||
</td>
|
||
</tr>
|
||
|
||
{/* Detalle expandible: colas de esta razón */}
|
||
{isExpanded && (
|
||
<tr>
|
||
<td colSpan={5} className="px-0 py-0">
|
||
<div className="mx-4 my-2 rounded-lg border border-gray-200 overflow-hidden bg-gray-50/50">
|
||
<table className="w-full text-sm">
|
||
<thead>
|
||
<tr className="text-xs text-gray-500 uppercase tracking-wider bg-gray-100">
|
||
<th className="px-4 py-2 text-left font-medium">Cola (ID)</th>
|
||
<th className="px-3 py-2 text-left font-medium">Skill</th>
|
||
<th className="px-3 py-2 text-right font-medium">Volumen</th>
|
||
<th className="px-3 py-2 text-right font-medium">CV AHT</th>
|
||
<th className="px-3 py-2 text-right font-medium">Transfer</th>
|
||
<th className="px-3 py-2 text-center font-medium">Score</th>
|
||
<th className="px-3 py-2 text-left font-medium">Red Flags</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody className="divide-y divide-gray-100 bg-white">
|
||
{group.queues.slice(0, 20).map((queue) => {
|
||
const flags = detectRedFlags(queue);
|
||
return (
|
||
<tr key={queue.original_queue_id} className="hover:bg-gray-50">
|
||
<td className="px-4 py-2 font-medium text-gray-700 truncate max-w-[180px]" title={queue.original_queue_id}>
|
||
{queue.original_queue_id}
|
||
</td>
|
||
<td className="px-3 py-2 text-gray-600 text-xs">{queue.skillName}</td>
|
||
<td className="px-3 py-2 text-right text-gray-600">{queue.volume.toLocaleString()}</td>
|
||
<td className="px-3 py-2 text-right">
|
||
<span className={queue.cv_aht > 120 ? 'text-red-600 font-medium' : 'text-gray-600'}>
|
||
{queue.cv_aht.toFixed(0)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2 text-right">
|
||
<span className={queue.transfer_rate > 50 ? 'text-red-600 font-medium' : 'text-gray-600'}>
|
||
{queue.transfer_rate.toFixed(0)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2 text-center">
|
||
<span className="px-1.5 py-0.5 rounded text-xs font-medium bg-gray-100 text-gray-600">
|
||
{queue.agenticScore.toFixed(1)}
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2">
|
||
<div className="flex flex-wrap gap-1">
|
||
{flags.map(flag => (
|
||
<RedFlagBadge key={flag.config.id} flag={flag} size="sm" />
|
||
))}
|
||
</div>
|
||
</td>
|
||
</tr>
|
||
);
|
||
})}
|
||
</tbody>
|
||
</table>
|
||
{group.queues.length > 20 && (
|
||
<div className="px-4 py-2 text-xs text-gray-500 bg-gray-100 text-center">
|
||
Mostrando 20 de {group.queues.length} colas
|
||
</div>
|
||
)}
|
||
</div>
|
||
</td>
|
||
</tr>
|
||
)}
|
||
</React.Fragment>
|
||
);
|
||
})}
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
|
||
{/* Footer */}
|
||
<div className="px-5 py-3 bg-gray-50 border-t border-gray-200 text-xs text-gray-500">
|
||
Click en una razón para ver las colas afectadas. Priorizar acciones según volumen impactado.
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// v3.4: Sección de Candidatos Prioritarios - Por queue_skill con drill-down a original_queue_id
|
||
function PriorityCandidatesSection({ drilldownData }: { drilldownData: DrilldownDataPoint[] }) {
|
||
const [expandedRows, setExpandedRows] = useState<Set<string>>(new Set());
|
||
|
||
// Filtrar skills que tienen al menos una cola AUTOMATE
|
||
const candidateSkills = drilldownData.filter(d => d.isPriorityCandidate);
|
||
|
||
// Toggle expansión de fila
|
||
const toggleRow = (skill: string) => {
|
||
const newExpanded = new Set(expandedRows);
|
||
if (newExpanded.has(skill)) {
|
||
newExpanded.delete(skill);
|
||
} else {
|
||
newExpanded.add(skill);
|
||
}
|
||
setExpandedRows(newExpanded);
|
||
};
|
||
|
||
// Calcular totales
|
||
const totalVolume = candidateSkills.reduce((sum, c) => sum + c.volume, 0);
|
||
const totalCost = candidateSkills.reduce((sum, c) => sum + (c.annualCost || 0), 0);
|
||
const potentialMonthlySavings = Math.round(totalCost * 0.35 / 12);
|
||
|
||
// v3.4: Contar colas por Tier en todos los skills con candidatos
|
||
const allQueuesInCandidates = candidateSkills.flatMap(s => s.originalQueues);
|
||
const tierCounts = {
|
||
AUTOMATE: allQueuesInCandidates.filter(q => q.tier === 'AUTOMATE').length,
|
||
ASSIST: allQueuesInCandidates.filter(q => q.tier === 'ASSIST').length,
|
||
AUGMENT: allQueuesInCandidates.filter(q => q.tier === 'AUGMENT').length,
|
||
'HUMAN-ONLY': allQueuesInCandidates.filter(q => q.tier === 'HUMAN-ONLY').length
|
||
};
|
||
|
||
// Volumen por Tier
|
||
const tierVolumes = {
|
||
AUTOMATE: allQueuesInCandidates.filter(q => q.tier === 'AUTOMATE').reduce((s, q) => s + q.volume, 0),
|
||
ASSIST: allQueuesInCandidates.filter(q => q.tier === 'ASSIST').reduce((s, q) => s + q.volume, 0),
|
||
AUGMENT: allQueuesInCandidates.filter(q => q.tier === 'AUGMENT').reduce((s, q) => s + q.volume, 0),
|
||
'HUMAN-ONLY': allQueuesInCandidates.filter(q => q.tier === 'HUMAN-ONLY').reduce((s, q) => s + q.volume, 0)
|
||
};
|
||
|
||
if (drilldownData.length === 0) {
|
||
return null;
|
||
}
|
||
|
||
return (
|
||
<div className="bg-white rounded-lg border-2 border-emerald-200 overflow-hidden shadow-sm">
|
||
{/* Header */}
|
||
<div className="px-5 py-4 border-b bg-gradient-to-r from-emerald-50 to-emerald-100/50">
|
||
<div className="flex items-center justify-between">
|
||
<div>
|
||
<h3 className="text-lg font-bold text-emerald-800 flex items-center gap-2">
|
||
<Sparkles className="w-5 h-5" />
|
||
CLASIFICACIÓN POR TIER DE AUTOMATIZACIÓN
|
||
</h3>
|
||
<p className="text-sm text-emerald-600 mt-1">
|
||
Skills con colas clasificadas como AUTOMATE (score ≥ 7.5, CV ≤ 75%, transfer ≤ 20%)
|
||
</p>
|
||
</div>
|
||
<div className="text-right">
|
||
<span className="text-3xl font-bold text-emerald-700">{tierCounts.AUTOMATE}</span>
|
||
<p className="text-sm text-emerald-600">colas AUTOMATE en {candidateSkills.length} skills</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* v3.4: Resumen por Tier */}
|
||
<div className="px-5 py-3 bg-emerald-50/50 border-b border-emerald-100">
|
||
<div className="flex items-center justify-between text-sm">
|
||
<div className="flex gap-4 flex-wrap">
|
||
<div className="flex items-center gap-1.5 px-2 py-1 bg-emerald-100 rounded">
|
||
<Sparkles className="w-3.5 h-3.5 text-emerald-600" />
|
||
<span className="text-emerald-700">
|
||
<strong>{tierCounts.AUTOMATE}</strong> AUTOMATE ({tierVolumes.AUTOMATE.toLocaleString()} int)
|
||
</span>
|
||
</div>
|
||
<div className="flex items-center gap-1.5 px-2 py-1 bg-blue-100 rounded">
|
||
<Bot className="w-3.5 h-3.5 text-blue-600" />
|
||
<span className="text-blue-700">
|
||
<strong>{tierCounts.ASSIST}</strong> ASSIST ({tierVolumes.ASSIST.toLocaleString()} int)
|
||
</span>
|
||
</div>
|
||
<div className="flex items-center gap-1.5 px-2 py-1 bg-amber-100 rounded">
|
||
<TrendingUp className="w-3.5 h-3.5 text-amber-600" />
|
||
<span className="text-amber-700">
|
||
<strong>{tierCounts.AUGMENT}</strong> AUGMENT ({tierVolumes.AUGMENT.toLocaleString()} int)
|
||
</span>
|
||
</div>
|
||
{tierCounts['HUMAN-ONLY'] > 0 && (
|
||
<div className="flex items-center gap-1.5 px-2 py-1 bg-gray-100 rounded">
|
||
<Users className="w-3.5 h-3.5 text-gray-500" />
|
||
<span className="text-gray-600">
|
||
<strong>{tierCounts['HUMAN-ONLY']}</strong> HUMAN ({tierVolumes['HUMAN-ONLY'].toLocaleString()} int)
|
||
</span>
|
||
</div>
|
||
)}
|
||
</div>
|
||
<div className="text-right">
|
||
<span className="text-emerald-600 font-bold text-base">{formatCurrency(potentialMonthlySavings)} ahorro/mes potencial</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Tabla por queue_skill */}
|
||
{candidateSkills.length > 0 ? (
|
||
<div className="overflow-x-auto">
|
||
<table className="w-full">
|
||
<thead>
|
||
<tr className="text-xs text-gray-500 uppercase tracking-wider bg-gray-50 border-b border-gray-200">
|
||
<th className="px-3 py-2.5 text-left font-medium w-8"></th>
|
||
<th className="px-3 py-2.5 text-left font-medium">Queue Skill (Estratégico)</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">Volumen</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">AHT Prom.</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">CV Prom.</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">Ahorro Potencial</th>
|
||
<th className="px-3 py-2.5 text-center font-medium">Tier Dom.</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody className="divide-y divide-slate-100">
|
||
{candidateSkills.map((dataPoint, idx) => (
|
||
<ExpandableSkillRow
|
||
key={dataPoint.skill}
|
||
dataPoint={dataPoint}
|
||
idx={idx}
|
||
isExpanded={expandedRows.has(dataPoint.skill)}
|
||
onToggle={() => toggleRow(dataPoint.skill)}
|
||
/>
|
||
))}
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
) : (
|
||
<div className="p-8 text-center text-gray-500">
|
||
<Sparkles className="w-12 h-12 mx-auto mb-3 text-gray-300" />
|
||
<p className="font-medium">No se encontraron colas clasificadas como AUTOMATE</p>
|
||
<p className="text-sm mt-1">Todas las colas requieren optimización antes de automatizar</p>
|
||
</div>
|
||
)}
|
||
|
||
{/* Footer */}
|
||
<div className="px-5 py-3 bg-gray-50 border-t border-gray-200">
|
||
<div className="flex items-center justify-between">
|
||
<p className="text-xs text-gray-500">
|
||
<span className="font-medium">{candidateSkills.length}</span> de {drilldownData.length} skills
|
||
tienen al menos una cola tier AUTOMATE
|
||
</p>
|
||
<p className="text-xs text-gray-400">
|
||
Haz clic en un skill para ver las colas individuales con desglose de score
|
||
</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// v3.6: Sección de Colas HUMAN-ONLY con Red Flags - Contextualizada
|
||
function HumanOnlyRedFlagsSection({ drilldownData }: { drilldownData: DrilldownDataPoint[] }) {
|
||
const [showTable, setShowTable] = useState(false);
|
||
|
||
// Extraer todas las colas
|
||
const allQueues = drilldownData.flatMap(skill =>
|
||
skill.originalQueues.map(q => ({ ...q, skillName: skill.skill }))
|
||
);
|
||
|
||
// Extraer todas las colas HUMAN-ONLY
|
||
const humanOnlyQueues = allQueues.filter(q => q.tier === 'HUMAN-ONLY');
|
||
|
||
// Colas con red flags (la mayoría de HUMAN-ONLY tendrán red flags por definición)
|
||
const queuesWithFlags = humanOnlyQueues.map(q => ({
|
||
queue: q,
|
||
flags: detectRedFlags(q)
|
||
})).filter(qf => qf.flags.length > 0);
|
||
|
||
// Ordenar por volumen (mayor primero para priorizar)
|
||
queuesWithFlags.sort((a, b) => b.queue.volume - a.queue.volume);
|
||
|
||
if (queuesWithFlags.length === 0) {
|
||
return null;
|
||
}
|
||
|
||
// Calcular totales
|
||
const totalVolumeAllQueues = allQueues.reduce((sum, q) => sum + q.volume, 0);
|
||
const totalVolumeRedFlags = queuesWithFlags.reduce((sum, qf) => sum + qf.queue.volume, 0);
|
||
const pctVolumeRedFlags = totalVolumeAllQueues > 0 ? (totalVolumeRedFlags / totalVolumeAllQueues) * 100 : 0;
|
||
|
||
// v4.2: Coste usando modelo CPI (consistente con Roadmap y Executive Summary)
|
||
// IMPORTANTE: El volumen es de 11 meses, se convierte a anual: (Vol/11) × 12
|
||
const CPI_HUMANO_RF = 2.33; // €/interacción (coste unitario humano)
|
||
const costeAnualRedFlags = Math.round((totalVolumeRedFlags / DATA_PERIOD_MONTHS) * 12 * CPI_HUMANO_RF);
|
||
const costeAnualTotal = Math.round((totalVolumeAllQueues / DATA_PERIOD_MONTHS) * 12 * CPI_HUMANO_RF);
|
||
const pctCosteRedFlags = costeAnualTotal > 0 ? (costeAnualRedFlags / costeAnualTotal) * 100 : 0;
|
||
|
||
// Estadísticas detalladas por tipo de red flag
|
||
const flagStats = RED_FLAG_CONFIGS.map(config => {
|
||
const matchingQueues = queuesWithFlags.filter(qf =>
|
||
qf.flags.some(f => f.config.id === config.id)
|
||
);
|
||
const queueCount = matchingQueues.length;
|
||
const volumeAffected = matchingQueues.reduce((sum, qf) => sum + qf.queue.volume, 0);
|
||
const pctTotal = totalVolumeAllQueues > 0 ? (volumeAffected / totalVolumeAllQueues) * 100 : 0;
|
||
|
||
// Acción recomendada por tipo
|
||
let action = '';
|
||
switch (config.id) {
|
||
case 'cv_high':
|
||
action = 'Estandarizar procesos';
|
||
break;
|
||
case 'transfer_high':
|
||
action = 'Simplificar flujo / capacitar';
|
||
break;
|
||
case 'volume_low':
|
||
action = 'Consolidar con similar';
|
||
break;
|
||
case 'valid_low':
|
||
action = 'Mejorar captura datos';
|
||
break;
|
||
}
|
||
|
||
return {
|
||
config,
|
||
queueCount,
|
||
volumeAffected,
|
||
pctTotal,
|
||
action
|
||
};
|
||
}).filter(s => s.queueCount > 0);
|
||
|
||
// Insight contextual
|
||
const isHighCountLowVolume = queuesWithFlags.length > 20 && pctVolumeRedFlags < 15;
|
||
const isLowCountHighVolume = queuesWithFlags.length < 10 && pctVolumeRedFlags > 20;
|
||
const dominantFlag = flagStats.reduce((a, b) => a.volumeAffected > b.volumeAffected ? a : b, flagStats[0]);
|
||
|
||
// Mostrar top 15 en tabla
|
||
const displayQueues = queuesWithFlags.slice(0, 15);
|
||
|
||
return (
|
||
<Card>
|
||
{/* Header */}
|
||
<div className="flex items-center justify-between mb-4">
|
||
<div>
|
||
<h3 className="font-semibold text-gray-900 flex items-center gap-2">
|
||
<AlertOctagon className="w-5 h-5 text-amber-500" />
|
||
Skills con Red Flags
|
||
</h3>
|
||
<p className="text-sm text-gray-500 mt-1">
|
||
Colas que requieren intervención antes de automatizar
|
||
</p>
|
||
</div>
|
||
<Badge
|
||
label={`${queuesWithFlags.length} colas`}
|
||
variant="warning"
|
||
/>
|
||
</div>
|
||
|
||
{/* RESUMEN DE IMPACTO */}
|
||
<div className="grid grid-cols-3 gap-4 mb-4">
|
||
<div className="text-center p-3 rounded-lg bg-gray-50 border border-gray-200">
|
||
<div className="text-2xl font-bold text-gray-800">
|
||
{queuesWithFlags.length}
|
||
</div>
|
||
<div className="text-xs text-gray-500">Colas Afectadas</div>
|
||
<div className="text-xs text-gray-400 mt-1">
|
||
{Math.round((queuesWithFlags.length / allQueues.length) * 100)}% del total
|
||
</div>
|
||
</div>
|
||
<div className="text-center p-3 rounded-lg bg-gray-50 border border-gray-200">
|
||
<div className="text-2xl font-bold text-gray-800">
|
||
{totalVolumeRedFlags >= 1000 ? `${(totalVolumeRedFlags/1000).toFixed(0)}K` : totalVolumeRedFlags}
|
||
</div>
|
||
<div className="text-xs text-gray-500">Volumen Afectado</div>
|
||
<div className="text-xs text-gray-400 mt-1">
|
||
{pctVolumeRedFlags.toFixed(1)}% del total
|
||
</div>
|
||
</div>
|
||
<div className="text-center p-3 rounded-lg bg-amber-50 border border-amber-200">
|
||
<div className="text-2xl font-bold text-amber-700">
|
||
{costeAnualRedFlags >= 1000000
|
||
? `€${(costeAnualRedFlags / 1000000).toFixed(1)}M`
|
||
: `€${(costeAnualRedFlags / 1000).toFixed(0)}K`}
|
||
</div>
|
||
<div className="text-xs text-amber-600">Coste Bloqueado/año</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* INSIGHT */}
|
||
<div className="p-3 rounded-lg bg-blue-50 border border-blue-200 mb-4">
|
||
<div className="text-sm text-blue-800">
|
||
<strong>Insight:</strong>{' '}
|
||
{isHighCountLowVolume && (
|
||
<>
|
||
Muchas colas ({queuesWithFlags.length}) pero bajo volumen ({pctVolumeRedFlags.toFixed(1)}%).
|
||
Prioridad: Consolidar colas similares para ganar escala.
|
||
</>
|
||
)}
|
||
{isLowCountHighVolume && (
|
||
<>
|
||
Pocas colas ({queuesWithFlags.length}) concentran alto volumen ({pctVolumeRedFlags.toFixed(1)}%).
|
||
Prioridad: Atacar estas colas primero para máximo impacto.
|
||
</>
|
||
)}
|
||
{!isHighCountLowVolume && !isLowCountHighVolume && dominantFlag && (
|
||
<>
|
||
Red flag dominante: <strong>{dominantFlag.config.label}</strong> ({dominantFlag.queueCount} colas).
|
||
Acción: {dominantFlag.action}.
|
||
</>
|
||
)}
|
||
</div>
|
||
</div>
|
||
|
||
{/* DISTRIBUCIÓN DE RED FLAGS */}
|
||
<div className="px-5 py-4 border-b" style={{ borderColor: COLORS.light }}>
|
||
<h4 className="text-sm font-semibold mb-3" style={{ color: COLORS.dark }}>
|
||
DISTRIBUCIÓN DE RED FLAGS
|
||
</h4>
|
||
<div className="overflow-x-auto">
|
||
<table className="w-full text-sm">
|
||
<thead>
|
||
<tr className="text-xs uppercase tracking-wider" style={{ color: COLORS.medium }}>
|
||
<th className="px-3 py-2 text-left font-medium">Red Flag</th>
|
||
<th className="px-3 py-2 text-right font-medium">Colas</th>
|
||
<th className="px-3 py-2 text-right font-medium">Vol. Afectado</th>
|
||
<th className="px-3 py-2 text-right font-medium">% Total</th>
|
||
<th className="px-3 py-2 text-left font-medium">Acción Recomendada</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody className="divide-y" style={{ borderColor: COLORS.light }}>
|
||
{flagStats.map(stat => (
|
||
<tr key={stat.config.id} className="hover:bg-gray-50">
|
||
<td className="px-3 py-2.5">
|
||
<div className="flex items-center gap-2">
|
||
<XCircle className="w-4 h-4" style={{ color: COLORS.medium }} />
|
||
<span className="font-medium" style={{ color: COLORS.dark }}>{stat.config.label}</span>
|
||
</div>
|
||
<span className="text-xs" style={{ color: COLORS.medium }}>{stat.config.description}</span>
|
||
</td>
|
||
<td className="px-3 py-2.5 text-right font-medium" style={{ color: COLORS.dark }}>
|
||
{stat.queueCount}
|
||
</td>
|
||
<td className="px-3 py-2.5 text-right" style={{ color: COLORS.dark }}>
|
||
{stat.volumeAffected.toLocaleString()}
|
||
</td>
|
||
<td className="px-3 py-2.5 text-right">
|
||
<span
|
||
className={`font-medium ${stat.pctTotal > 10 ? 'text-red-600' : ''}`}
|
||
style={{ color: stat.pctTotal <= 10 ? COLORS.medium : undefined }}
|
||
>
|
||
{stat.pctTotal.toFixed(1)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2.5">
|
||
<span className="text-xs px-2 py-1 rounded" style={{ backgroundColor: COLORS.light, color: COLORS.dark }}>
|
||
{stat.action}
|
||
</span>
|
||
</td>
|
||
</tr>
|
||
))}
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
{/* PRIORIDAD */}
|
||
<div className="px-5 py-3 border-b flex items-start gap-3" style={{ backgroundColor: COLORS.light, borderColor: COLORS.light }}>
|
||
<span className="text-lg">⚠️</span>
|
||
<div className="text-sm" style={{ color: COLORS.dark }}>
|
||
<strong>PRIORIDAD:</strong>{' '}
|
||
{flagStats.find(s => s.config.id === 'cv_high')?.queueCount && flagStats.find(s => s.config.id === 'cv_high')!.queueCount > 0 ? (
|
||
<>
|
||
Resolver primero colas con <strong>CV >120%</strong> — son las más impredecibles y bloquean cualquier automatización efectiva.
|
||
</>
|
||
) : flagStats.find(s => s.config.id === 'transfer_high')?.queueCount && flagStats.find(s => s.config.id === 'transfer_high')!.queueCount > 0 ? (
|
||
<>
|
||
Priorizar colas con <strong>Transfer >50%</strong> — alta dependencia de escalado indica complejidad que debe simplificarse.
|
||
</>
|
||
) : flagStats.find(s => s.config.id === 'volume_low')?.queueCount && flagStats.find(s => s.config.id === 'volume_low')!.queueCount > 0 ? (
|
||
<>
|
||
Consolidar colas con <strong>Vol <50</strong> — el bajo volumen no justifica inversión individual.
|
||
</>
|
||
) : (
|
||
<>
|
||
Mejorar calidad de datos antes de cualquier iniciativa de automatización.
|
||
</>
|
||
)}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Botón para ver detalle de colas */}
|
||
<div className="px-5 py-3" style={{ backgroundColor: '#fafafa' }}>
|
||
<button
|
||
onClick={() => setShowTable(!showTable)}
|
||
className="text-sm flex items-center gap-2 hover:opacity-80"
|
||
style={{ color: COLORS.primary }}
|
||
>
|
||
{showTable ? <ChevronUp className="w-4 h-4" /> : <ChevronDown className="w-4 h-4" />}
|
||
{showTable ? 'Ocultar detalle de colas' : `Ver detalle de ${queuesWithFlags.length} colas con red flags`}
|
||
</button>
|
||
</div>
|
||
|
||
{/* Tabla de colas con Red Flags (colapsable) */}
|
||
{showTable && (
|
||
<div className="border-t overflow-x-auto" style={{ borderColor: COLORS.light }}>
|
||
<table className="w-full text-sm">
|
||
<thead>
|
||
<tr className="text-xs uppercase tracking-wider" style={{ backgroundColor: COLORS.light, color: COLORS.medium }}>
|
||
<th className="px-3 py-2.5 text-left font-medium">Cola</th>
|
||
<th className="px-3 py-2.5 text-left font-medium">Skill</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">Volumen</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">CV AHT</th>
|
||
<th className="px-3 py-2.5 text-right font-medium">Transfer</th>
|
||
<th className="px-3 py-2.5 text-left font-medium">Red Flags</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody className="divide-y" style={{ borderColor: COLORS.light }}>
|
||
{displayQueues.map((qf, idx) => (
|
||
<motion.tr
|
||
key={`${qf.queue.original_queue_id}-${idx}`}
|
||
initial={{ opacity: 0 }}
|
||
animate={{ opacity: 1 }}
|
||
transition={{ delay: idx * 0.02 }}
|
||
className="hover:bg-gray-50"
|
||
>
|
||
<td className="px-3 py-2.5 font-medium max-w-[200px]" style={{ color: COLORS.dark }}>
|
||
<span className="truncate block" title={qf.queue.original_queue_id}>
|
||
{qf.queue.original_queue_id}
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2.5 text-xs max-w-[150px]" style={{ color: COLORS.medium }}>
|
||
<span className="truncate block" title={(qf.queue as any).skillName}>
|
||
{(qf.queue as any).skillName}
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2.5 text-right" style={{ color: COLORS.dark }}>
|
||
{qf.queue.volume.toLocaleString()}
|
||
</td>
|
||
<td className="px-3 py-2.5 text-right">
|
||
<span className={`font-medium ${qf.queue.cv_aht > 120 ? 'text-red-600' : ''}`} style={{ color: qf.queue.cv_aht <= 120 ? COLORS.dark : undefined }}>
|
||
{qf.queue.cv_aht.toFixed(0)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2.5 text-right">
|
||
<span className={`font-medium ${qf.queue.transfer_rate > 50 ? 'text-red-600' : ''}`} style={{ color: qf.queue.transfer_rate <= 50 ? COLORS.dark : undefined }}>
|
||
{qf.queue.transfer_rate.toFixed(0)}%
|
||
</span>
|
||
</td>
|
||
<td className="px-3 py-2.5">
|
||
<div className="flex flex-wrap gap-1">
|
||
{qf.flags.map(flag => (
|
||
<RedFlagBadge key={flag.config.id} flag={flag} size="sm" />
|
||
))}
|
||
</div>
|
||
</td>
|
||
</motion.tr>
|
||
))}
|
||
</tbody>
|
||
</table>
|
||
{queuesWithFlags.length > 15 && (
|
||
<div className="px-5 py-2 text-xs text-center" style={{ backgroundColor: COLORS.light, color: COLORS.medium }}>
|
||
Mostrando top 15 de {queuesWithFlags.length} colas (ordenadas por volumen)
|
||
</div>
|
||
)}
|
||
</div>
|
||
)}
|
||
</Card>
|
||
);
|
||
}
|
||
|
||
// v3.11: Umbrales para highlighting de métricas
|
||
const METRIC_THRESHOLDS = {
|
||
fcr: { critical: 50, warning: 60, good: 70, benchmark: 68 },
|
||
cv_aht: { critical: 100, warning: 75, good: 60 },
|
||
transfer: { critical: 25, warning: 15, good: 10, benchmark: 12 }
|
||
};
|
||
|
||
// v3.11: Evaluar métrica y devolver estilo + mensaje
|
||
function getMetricStatus(value: number, metric: 'fcr' | 'cv_aht' | 'transfer'): {
|
||
className: string;
|
||
isCritical: boolean;
|
||
message: string;
|
||
} {
|
||
const thresholds = METRIC_THRESHOLDS[metric];
|
||
|
||
if (metric === 'fcr') {
|
||
// Mayor es mejor
|
||
if (value < thresholds.critical) {
|
||
return {
|
||
className: 'text-red-600 font-bold',
|
||
isCritical: true,
|
||
message: `FCR ${value.toFixed(0)}% muy por debajo del benchmark (${thresholds.benchmark}%)`
|
||
};
|
||
}
|
||
if (value < thresholds.warning) {
|
||
return { className: 'text-amber-600 font-medium', isCritical: false, message: '' };
|
||
}
|
||
return { className: 'text-emerald-600', isCritical: false, message: '' };
|
||
}
|
||
|
||
// Para CV y Transfer, menor es mejor
|
||
if (value > thresholds.critical) {
|
||
return {
|
||
className: 'text-red-600 font-bold',
|
||
isCritical: true,
|
||
message: metric === 'cv_aht'
|
||
? `CV ${value.toFixed(0)}% indica proceso muy inestable/impredecible`
|
||
: `Transfer ${value.toFixed(0)}% muy alto — revisar routing y capacitación`
|
||
};
|
||
}
|
||
if (value > thresholds.warning) {
|
||
return { className: 'text-amber-600 font-medium', isCritical: false, message: '' };
|
||
}
|
||
return { className: 'text-gray-600', isCritical: false, message: '' };
|
||
}
|
||
|
||
// v3.11: Componente para métricas con highlighting condicional
|
||
function MetricCell({
|
||
value,
|
||
metric,
|
||
suffix = '%'
|
||
}: {
|
||
value: number;
|
||
metric: 'fcr' | 'cv_aht' | 'transfer';
|
||
suffix?: string;
|
||
}) {
|
||
const status = getMetricStatus(value, metric);
|
||
|
||
return (
|
||
<td className="px-3 py-2 text-right">
|
||
<span className={`inline-flex items-center gap-1 ${status.className}`}>
|
||
{value.toFixed(0)}{suffix}
|
||
{status.isCritical && (
|
||
<AlertTriangle
|
||
className="w-3 h-3"
|
||
title={status.message}
|
||
/>
|
||
)}
|
||
</span>
|
||
</td>
|
||
);
|
||
}
|
||
|
||
// v3.4: Sección secundaria de Skills sin colas AUTOMATE (requieren optimización)
|
||
function SkillsToOptimizeSection({ drilldownData }: { drilldownData: DrilldownDataPoint[] }) {
|
||
const [showAll, setShowAll] = useState(false);
|
||
|
||
// Filtrar skills sin colas AUTOMATE
|
||
const skillsToOptimize = drilldownData.filter(d => !d.isPriorityCandidate);
|
||
|
||
if (skillsToOptimize.length === 0) {
|
||
return null;
|
||
}
|
||
|
||
// Mostrar top 20 o todos
|
||
const displaySkills = showAll ? skillsToOptimize : skillsToOptimize.slice(0, 20);
|
||
|
||
// Calcular totales
|
||
const totalVolume = skillsToOptimize.reduce((sum, s) => sum + s.volume, 0);
|
||
const totalCost = skillsToOptimize.reduce((sum, s) => sum + (s.annualCost || 0), 0);
|
||
|
||
// v3.4: Contar colas por Tier en skills a optimizar
|
||
const allQueuesInOptimize = skillsToOptimize.flatMap(s => s.originalQueues);
|
||
const tierCounts = {
|
||
ASSIST: allQueuesInOptimize.filter(q => q.tier === 'ASSIST').length,
|
||
AUGMENT: allQueuesInOptimize.filter(q => q.tier === 'AUGMENT').length,
|
||
'HUMAN-ONLY': allQueuesInOptimize.filter(q => q.tier === 'HUMAN-ONLY').length
|
||
};
|
||
|
||
return (
|
||
<div className="bg-white rounded-lg border border-amber-200 overflow-hidden">
|
||
{/* Header */}
|
||
<div className="px-5 py-3 border-b bg-gradient-to-r from-amber-50 to-amber-100/30">
|
||
<div className="flex items-center justify-between">
|
||
<div>
|
||
<h3 className="font-semibold text-amber-800 flex items-center gap-2">
|
||
<Activity className="w-4 h-4" />
|
||
Skills sin colas AUTOMATE
|
||
</h3>
|
||
<p className="text-xs text-amber-600 mt-0.5">
|
||
Procesos tier ASSIST/AUGMENT/HUMAN — requieren optimización antes de automatizar
|
||
</p>
|
||
</div>
|
||
<div className="text-right">
|
||
<span className="text-xl font-bold text-amber-700">{skillsToOptimize.length}</span>
|
||
<p className="text-xs text-amber-600">skills</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* v3.4: Resumen por Tier */}
|
||
<div className="px-5 py-2 bg-amber-50/30 border-b border-amber-100 text-xs">
|
||
<div className="flex gap-4 flex-wrap items-center">
|
||
<div className="flex items-center gap-1.5 px-2 py-0.5 bg-blue-100 rounded">
|
||
<Bot className="w-3 h-3 text-blue-600" />
|
||
<span className="text-blue-700"><strong>{tierCounts.ASSIST}</strong> ASSIST</span>
|
||
</div>
|
||
<div className="flex items-center gap-1.5 px-2 py-0.5 bg-amber-100 rounded">
|
||
<TrendingUp className="w-3 h-3 text-amber-600" />
|
||
<span className="text-amber-700"><strong>{tierCounts.AUGMENT}</strong> AUGMENT</span>
|
||
</div>
|
||
{tierCounts['HUMAN-ONLY'] > 0 && (
|
||
<div className="flex items-center gap-1.5 px-2 py-0.5 bg-gray-100 rounded">
|
||
<Users className="w-3 h-3 text-gray-500" />
|
||
<span className="text-gray-600"><strong>{tierCounts['HUMAN-ONLY']}</strong> HUMAN</span>
|
||
</div>
|
||
)}
|
||
<span className="text-gray-400 mx-2">|</span>
|
||
<span className="text-gray-600">
|
||
Volumen: <strong>{totalVolume.toLocaleString()}</strong>
|
||
</span>
|
||
<span className="text-gray-600">
|
||
Coste: <strong>{formatCurrency(totalCost)}</strong>
|
||
</span>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Tabla */}
|
||
<div className="overflow-x-auto">
|
||
<table className="w-full text-sm">
|
||
<thead>
|
||
<tr className="text-xs text-gray-500 uppercase tracking-wider bg-gray-50">
|
||
<th className="px-3 py-2 text-left font-medium">Queue Skill</th>
|
||
<th className="px-3 py-2 text-center font-medium">Colas</th>
|
||
<th className="px-3 py-2 text-right font-medium">Volumen</th>
|
||
<th className="px-3 py-2 text-right font-medium">AHT</th>
|
||
<th className="px-3 py-2 text-right font-medium">CV AHT</th>
|
||
<th className="px-3 py-2 text-right font-medium">Transfer</th>
|
||
<th className="px-3 py-2 text-right font-medium">FCR</th>
|
||
<th className="px-3 py-2 text-center font-medium">Tier Dom.</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody className="divide-y divide-slate-100">
|
||
{displaySkills.map((item, idx) => {
|
||
// v3.4: Calcular tier dominante del skill
|
||
const skillTierVolumes = {
|
||
ASSIST: item.originalQueues.filter(q => q.tier === 'ASSIST').reduce((s, q) => s + q.volume, 0),
|
||
AUGMENT: item.originalQueues.filter(q => q.tier === 'AUGMENT').reduce((s, q) => s + q.volume, 0),
|
||
'HUMAN-ONLY': item.originalQueues.filter(q => q.tier === 'HUMAN-ONLY').reduce((s, q) => s + q.volume, 0)
|
||
};
|
||
const dominantTier = (Object.keys(skillTierVolumes) as ('ASSIST' | 'AUGMENT' | 'HUMAN-ONLY')[])
|
||
.reduce((a, b) => skillTierVolumes[a] > skillTierVolumes[b] ? a : b) as AgenticTier;
|
||
|
||
return (
|
||
<tr key={`${item.skill}-${idx}`} className="hover:bg-amber-50/30">
|
||
<td className="px-3 py-2 font-medium text-gray-800 max-w-[200px] truncate" title={item.skill}>
|
||
{item.skill}
|
||
</td>
|
||
<td className="px-3 py-2 text-gray-500 text-center text-xs">
|
||
{item.originalQueues.length}
|
||
</td>
|
||
<td className="px-3 py-2 text-gray-600 text-right">{item.volume.toLocaleString()}</td>
|
||
<td className="px-3 py-2 text-gray-600 text-right">{formatAHT(item.aht_mean)}</td>
|
||
<MetricCell value={item.cv_aht} metric="cv_aht" />
|
||
<MetricCell value={item.transfer_rate} metric="transfer" />
|
||
<MetricCell value={item.fcr_tecnico ?? (100 - item.transfer_rate)} metric="fcr" />
|
||
<td className="px-3 py-2 text-center">
|
||
<TierBadge tier={dominantTier} />
|
||
</td>
|
||
</tr>
|
||
);
|
||
})}
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
|
||
{/* Footer */}
|
||
{skillsToOptimize.length > 20 && (
|
||
<div className="px-5 py-2 bg-gray-50 border-t border-gray-200">
|
||
<button
|
||
onClick={() => setShowAll(!showAll)}
|
||
className="text-xs text-[#6D84E3] hover:underline flex items-center gap-1"
|
||
>
|
||
{showAll ? (
|
||
<>
|
||
<ChevronUp className="w-3 h-3" /> Mostrar menos
|
||
</>
|
||
) : (
|
||
<>
|
||
<ChevronDown className="w-3 h-3" /> Ver todos ({skillsToOptimize.length})
|
||
</>
|
||
)}
|
||
</button>
|
||
</div>
|
||
)}
|
||
</div>
|
||
);
|
||
}
|
||
|
||
// v3.6: Sección de conexión con Roadmap
|
||
function RoadmapConnectionSection({ drilldownData }: { drilldownData: DrilldownDataPoint[] }) {
|
||
// Extraer todas las colas
|
||
const allQueues = drilldownData.flatMap(skill =>
|
||
skill.originalQueues.map(q => ({ ...q, skillName: skill.skill }))
|
||
);
|
||
|
||
const totalVolume = allQueues.reduce((sum, q) => sum + q.volume, 0);
|
||
|
||
// AUTOMATE queues (Quick Wins)
|
||
const automateQueues = allQueues.filter(q => q.tier === 'AUTOMATE');
|
||
const automateVolume = automateQueues.reduce((sum, q) => sum + q.volume, 0);
|
||
|
||
// ASSIST queues (Wave 1 target)
|
||
const assistQueues = allQueues.filter(q => q.tier === 'ASSIST');
|
||
const assistVolume = assistQueues.reduce((sum, q) => sum + q.volume, 0);
|
||
const assistPct = totalVolume > 0 ? (assistVolume / totalVolume) * 100 : 0;
|
||
|
||
// HUMAN-ONLY queues with high transfer (Wave 1 focus)
|
||
const humanOnlyHighTransfer = allQueues.filter(q =>
|
||
q.tier === 'HUMAN-ONLY' && q.transfer_rate > 50
|
||
);
|
||
|
||
// v4.2: Cálculo de ahorros alineado con modelo TCO del Roadmap
|
||
// Fórmula: (Vol/11) × 12 × Rate × (CPI_humano - CPI_target)
|
||
// IMPORTANTE: El volumen es de 11 meses, se convierte a anual
|
||
const CPI_HUMANO = 2.33;
|
||
const CPI_BOT = 0.15;
|
||
const CPI_ASSIST_TARGET = 1.50;
|
||
const RATE_AUTOMATE = 0.70; // 70% contención
|
||
const RATE_ASSIST = 0.30; // 30% deflection
|
||
|
||
// Quick Wins (AUTOMATE): 70% de interacciones pueden ser atendidas por bot
|
||
const annualSavingsAutomate = Math.round((automateVolume / DATA_PERIOD_MONTHS) * 12 * RATE_AUTOMATE * (CPI_HUMANO - CPI_BOT));
|
||
const monthlySavingsAutomate = Math.round(annualSavingsAutomate / 12);
|
||
|
||
// Potential savings from ASSIST (si implementan Copilot): 30% deflection
|
||
const potentialAnnualAssist = Math.round((assistVolume / DATA_PERIOD_MONTHS) * 12 * RATE_ASSIST * (CPI_HUMANO - CPI_ASSIST_TARGET));
|
||
|
||
// Get top skills with AUTOMATE queues
|
||
const skillsWithAutomate = drilldownData
|
||
.filter(skill => skill.originalQueues.some(q => q.tier === 'AUTOMATE'))
|
||
.map(skill => skill.skill)
|
||
.slice(0, 3);
|
||
|
||
// Get top skills needing Wave 1 (high HUMAN-ONLY %)
|
||
const skillsNeedingWave1 = drilldownData
|
||
.map(skill => {
|
||
const humanVolume = skill.originalQueues
|
||
.filter(q => q.tier === 'HUMAN-ONLY')
|
||
.reduce((s, q) => s + q.volume, 0);
|
||
const skillVolume = skill.originalQueues.reduce((s, q) => s + q.volume, 0);
|
||
const humanPct = skillVolume > 0 ? (humanVolume / skillVolume) * 100 : 0;
|
||
return { skill: skill.skill, humanPct };
|
||
})
|
||
.filter(s => s.humanPct > 50)
|
||
.sort((a, b) => b.humanPct - a.humanPct)
|
||
.slice(0, 2);
|
||
|
||
// Don't render if no data
|
||
if (automateQueues.length === 0 && assistQueues.length === 0) {
|
||
return null;
|
||
}
|
||
|
||
return (
|
||
<div className="bg-white rounded-lg border overflow-hidden shadow-sm" style={{ borderColor: COLORS.medium }}>
|
||
{/* Header */}
|
||
<div className="px-5 py-4 border-b" style={{ backgroundColor: COLORS.primary, borderColor: COLORS.primary }}>
|
||
<h3 className="text-lg font-bold text-white flex items-center gap-2">
|
||
<ChevronRight className="w-5 h-5" />
|
||
PRÓXIMOS PASOS → ROADMAP
|
||
</h3>
|
||
</div>
|
||
|
||
<div className="p-5 space-y-4">
|
||
<p className="text-sm font-medium" style={{ color: COLORS.dark }}>
|
||
BASADO EN ESTE ANÁLISIS:
|
||
</p>
|
||
|
||
{/* Quick Wins */}
|
||
{automateQueues.length > 0 && (
|
||
<div className="rounded-lg p-4 border" style={{ backgroundColor: '#f0fdf4', borderColor: '#86efac' }}>
|
||
<div className="flex items-center gap-2 mb-2">
|
||
<span className="text-lg">✅</span>
|
||
<span className="font-bold text-emerald-800">QUICK WINS INMEDIATOS (sin Wave 1)</span>
|
||
</div>
|
||
<div className="space-y-1 text-sm text-emerald-700">
|
||
<p>
|
||
<strong>{automateQueues.length} colas AUTOMATE</strong> con{' '}
|
||
<strong>{(automateVolume / 1000).toFixed(0)}K interacciones/mes</strong>
|
||
</p>
|
||
<p
|
||
className="cursor-help"
|
||
title={`Cálculo: ${automateVolume.toLocaleString()} int × 12 meses × 70% contención × €2.18/int = €${(annualSavingsAutomate / 1000000).toFixed(1)}M`}
|
||
>
|
||
Ahorro potencial: <strong className="text-emerald-800">€{(annualSavingsAutomate / 1000000).toFixed(1)}M/año</strong>
|
||
<span className="text-emerald-600 ml-1 text-xs">(70% contención × €2.18/int)</span>
|
||
</p>
|
||
{skillsWithAutomate.length > 0 && (
|
||
<p>
|
||
Skills: <strong>{skillsWithAutomate.join(', ')}</strong>
|
||
</p>
|
||
)}
|
||
<p className="pt-1 text-emerald-600 italic text-xs">
|
||
→ Alineado con Wave 4 del Roadmap. Pueden implementarse en paralelo a Wave 1.
|
||
</p>
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Wave 1: Foundation */}
|
||
{assistQueues.length > 0 && (
|
||
<div className="rounded-lg p-4 border" style={{ backgroundColor: COLORS.light, borderColor: COLORS.medium }}>
|
||
<div className="flex items-center gap-2 mb-2">
|
||
<span className="text-lg">🔧</span>
|
||
<span className="font-bold" style={{ color: COLORS.dark }}>
|
||
WAVE 1-3: FOUNDATION → ASSIST ({assistQueues.length} colas)
|
||
</span>
|
||
</div>
|
||
<div className="space-y-1 text-sm" style={{ color: COLORS.dark }}>
|
||
<p>
|
||
<strong>{(assistVolume / 1000).toFixed(0)}K interacciones/mes</strong> en tier ASSIST
|
||
</p>
|
||
{skillsNeedingWave1.length > 0 && (
|
||
<p>
|
||
<strong>Foco Wave 1:</strong> Reducir transfer en{' '}
|
||
<strong>{skillsNeedingWave1.map(s => s.skill).join(' & ')}</strong>{' '}
|
||
({Math.round(skillsNeedingWave1[0]?.humanPct || 0)}% HUMAN)
|
||
</p>
|
||
)}
|
||
<p
|
||
className="cursor-help"
|
||
title={`Cálculo: ${assistVolume.toLocaleString()} int × 12 meses × 30% deflection × €0.83/int`}
|
||
>
|
||
<strong>Potencial con Copilot:</strong>{' '}
|
||
<strong style={{ color: COLORS.primary }}>
|
||
€{potentialAnnualAssist >= 1000000
|
||
? `${(potentialAnnualAssist / 1000000).toFixed(1)}M`
|
||
: `${(potentialAnnualAssist / 1000).toFixed(0)}K`
|
||
}/año
|
||
</strong>
|
||
<span className="ml-1 text-xs" style={{ color: COLORS.medium }}>(30% deflection × €0.83/int)</span>
|
||
</p>
|
||
<p className="pt-1 italic text-xs" style={{ color: COLORS.medium }}>
|
||
→ Requiere Wave 1 (Foundation) para habilitar Copilot en Wave 3
|
||
</p>
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Link to Roadmap */}
|
||
<div className="flex items-center gap-2 pt-2">
|
||
<span className="text-lg">👉</span>
|
||
<span className="text-sm font-medium" style={{ color: COLORS.primary }}>
|
||
Ver pestaña Roadmap para plan detallado
|
||
</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
export function AgenticReadinessTab({ data, onTabChange }: AgenticReadinessTabProps) {
|
||
// Debug: Log drilldown data status
|
||
console.log('🔍 AgenticReadinessTab - drilldownData:', {
|
||
exists: !!data.drilldownData,
|
||
length: data.drilldownData?.length || 0,
|
||
sample: data.drilldownData?.slice(0, 2)
|
||
});
|
||
|
||
// Calculate factors from real data (para mostrar detalle de dimensiones)
|
||
const factors = calculateFactorsFromData(data.heatmapData);
|
||
|
||
// v3.4: Extraer todas las colas (original_queue_id) de drilldownData
|
||
const allQueues = data.drilldownData?.flatMap(skill => skill.originalQueues) || [];
|
||
const totalQueues = allQueues.length;
|
||
|
||
// v3.4: Calcular conteos y volúmenes por Tier
|
||
const tierData = {
|
||
AUTOMATE: {
|
||
count: allQueues.filter(q => q.tier === 'AUTOMATE').length,
|
||
volume: allQueues.filter(q => q.tier === 'AUTOMATE').reduce((s, q) => s + q.volume, 0)
|
||
},
|
||
ASSIST: {
|
||
count: allQueues.filter(q => q.tier === 'ASSIST').length,
|
||
volume: allQueues.filter(q => q.tier === 'ASSIST').reduce((s, q) => s + q.volume, 0)
|
||
},
|
||
AUGMENT: {
|
||
count: allQueues.filter(q => q.tier === 'AUGMENT').length,
|
||
volume: allQueues.filter(q => q.tier === 'AUGMENT').reduce((s, q) => s + q.volume, 0)
|
||
},
|
||
'HUMAN-ONLY': {
|
||
count: allQueues.filter(q => q.tier === 'HUMAN-ONLY').length,
|
||
volume: allQueues.filter(q => q.tier === 'HUMAN-ONLY').reduce((s, q) => s + q.volume, 0)
|
||
}
|
||
};
|
||
|
||
// v3.4: Agentic Readiness Score = Volumen en colas AUTOMATE / Volumen Total
|
||
const totalVolume = allQueues.reduce((sum, q) => sum + q.volume, 0);
|
||
const automatizableVolume = tierData.AUTOMATE.volume;
|
||
const agenticReadinessPercent = totalVolume > 0
|
||
? (automatizableVolume / totalVolume) * 100
|
||
: 0;
|
||
|
||
// Count skills (queue_skill level)
|
||
const totalSkills = data.drilldownData?.length || data.heatmapData.length;
|
||
|
||
return (
|
||
<div className="space-y-6">
|
||
{/* SECCIÓN 0: Introducción Metodológica (colapsable) */}
|
||
<AgenticMethodologyIntro
|
||
tierData={tierData}
|
||
totalVolume={totalVolume}
|
||
totalQueues={totalQueues}
|
||
/>
|
||
|
||
{/* SECCIÓN 1: Cabecera Agentic Readiness Score - Visión Global */}
|
||
<AgenticReadinessHeader
|
||
tierData={tierData}
|
||
totalVolume={totalVolume}
|
||
totalQueues={totalQueues}
|
||
/>
|
||
|
||
{/* SECCIÓN 2-5: Desglose por Colas en 4 Tablas por Tier */}
|
||
{data.drilldownData && data.drilldownData.length > 0 ? (
|
||
<>
|
||
{/* TABLA 1: Colas AUTOMATE - Listas para automatización */}
|
||
<TierQueueSection drilldownData={data.drilldownData} tier="AUTOMATE" />
|
||
|
||
{/* TABLA 2: Colas ASSIST - Candidatas a Copilot */}
|
||
<TierQueueSection drilldownData={data.drilldownData} tier="ASSIST" />
|
||
|
||
{/* TABLA 3: Colas AUGMENT - Requieren optimización */}
|
||
<TierQueueSection drilldownData={data.drilldownData} tier="AUGMENT" />
|
||
|
||
{/* TABLA 4: Colas HUMAN-ONLY - Agrupadas por razón/red flag */}
|
||
<HumanOnlyByReasonSection drilldownData={data.drilldownData} />
|
||
</>
|
||
) : (
|
||
/* Fallback a tabla por Línea de Negocio si no hay drilldown data */
|
||
<SkillsReadinessTable heatmapData={data.heatmapData} />
|
||
)}
|
||
|
||
{/* Link al Roadmap */}
|
||
{onTabChange && (
|
||
<div className="text-center pt-4">
|
||
<button
|
||
onClick={() => onTabChange('roadmap')}
|
||
className="text-sm text-blue-600 hover:text-blue-800 hover:underline"
|
||
>
|
||
Ver pestaña Roadmap para plan detallado →
|
||
</button>
|
||
</div>
|
||
)}
|
||
</div>
|
||
);
|
||
}
|
||
|
||
export default AgenticReadinessTab;
|