import { useCallback, useEffect, useMemo, useState } from 'react'; import { Link, useOutletContext } from 'react-router-dom'; import { ChevronLeft, ChevronRight, Download, Filter, Loader2, Search, Users } from 'lucide-react'; import DateRangePicker from '../components/DateRangePicker'; import { exportToCSV, fetchRfmAnalytics } from '../dataService'; import type { DateRange, RfmAnalytics, RfmClient, RfmSegment } from '../types'; const emptyClients: RfmClient[] = []; const emptySegments: RfmSegment[] = []; const segmentStyles: Record = { champions: { accent: 'bg-emerald-500', bg: 'bg-emerald-500/10', text: 'text-emerald-400' }, potential_loyalists: { accent: 'bg-sky-500', bg: 'bg-sky-500/10', text: 'text-sky-400' }, new_customers: { accent: 'bg-cyan-500', bg: 'bg-cyan-500/10', text: 'text-cyan-400' }, loyal_customers: { accent: 'bg-blue-500', bg: 'bg-blue-500/10', text: 'text-blue-400' }, need_attention: { accent: 'bg-amber-500', bg: 'bg-amber-500/10', text: 'text-amber-400' }, about_to_sleep: { accent: 'bg-orange-500', bg: 'bg-orange-500/10', text: 'text-orange-400' }, at_risk: { accent: 'bg-rose-500', bg: 'bg-rose-500/10', text: 'text-rose-400' }, hibernating: { accent: 'bg-fuchsia-500', bg: 'bg-fuchsia-500/10', text: 'text-fuchsia-400' }, lost: { accent: 'bg-zinc-500', bg: 'bg-zinc-500/10', text: 'text-zinc-400' } }; const rfmSegmentDefinitions: Array> = [ { key: 'champions', label: 'Champions' }, { key: 'potential_loyalists', label: 'Potenciais Leais' }, { key: 'new_customers', label: 'Novos Clientes' }, { key: 'loyal_customers', label: 'Clientes Leais' }, { key: 'need_attention', label: 'Precisam de Atenção' }, { key: 'about_to_sleep', label: 'Quase Dormindo' }, { key: 'at_risk', label: 'Em Risco' }, { key: 'hibernating', label: 'Hibernando' }, { key: 'lost', label: 'Perdidos' } ]; const segmentDescriptions: Record = { champions: 'Recentes, frequentes e valiosos', potential_loyalists: 'Recentes com bom potencial', new_customers: 'Primeira compra recente', loyal_customers: 'Valiosos, mas menos recentes', need_attention: 'Base intermediária para nutrir', about_to_sleep: 'Baixo valor começando a esfriar', at_risk: 'Valiosos sem compra recente', hibernating: 'Sem compra recente e valor médio', lost: 'Baixa atividade e distante' }; const segmentActions: Record = { champions: 'Oferecer acesso antecipado, benefícios VIP e lançamentos.', potential_loyalists: 'Estimular a próxima compra com recomendações personalizadas.', new_customers: 'Enviar boas-vindas e incentivo para a segunda compra.', loyal_customers: 'Manter relacionamento com ofertas relevantes e recorrentes.', need_attention: 'Reativar interesse com campanha leve e produtos recentes.', about_to_sleep: 'Enviar lembrete antes que o cliente esfrie completamente.', at_risk: 'Priorizar recuperação com oferta forte ou contato direto.', hibernating: 'Testar reativação de baixo custo com mensagem objetiva.', lost: 'Evitar alto investimento; usar apenas campanhas ocasionais.' }; const segmentByScore: Record = { '3-3': 'champions', '3-2': 'potential_loyalists', '3-1': 'new_customers', '2-3': 'loyal_customers', '2-2': 'need_attention', '2-1': 'about_to_sleep', '1-3': 'at_risk', '1-2': 'hibernating', '1-1': 'lost' }; const formatCurrency = (value: number) => { return new Intl.NumberFormat('pt-BR', { style: 'currency', currency: 'BRL' }).format(value); }; const DAY_MS = 24 * 60 * 60 * 1000; const parseLocalDate = (value: string) => { if (!value) return null; const match = value.match(/^(\d{4})-(\d{2})-(\d{2})/); if (match) { const [, year, month, day] = match; return new Date(Number(year), Number(month) - 1, Number(day)); } const parsedDate = new Date(value); return Number.isNaN(parsedDate.getTime()) ? null : parsedDate; }; const startOfDay = (date: Date) => { const nextDate = new Date(date); nextDate.setHours(0, 0, 0, 0); return nextDate; }; const formatDate = (value: string) => { if (!value) return 'N/A'; const date = parseLocalDate(value); return date ? date.toLocaleDateString('pt-BR') : 'N/A'; }; const scoreLabel = (score: number) => { if (score === 3) return 'Alto'; if (score === 2) return 'Médio'; return 'Baixo'; }; const getSegment = (segments: RfmSegment[], key: string) => { return segments.find(segment => segment.key === key); }; const segmentForCell = (segments: RfmSegment[], recencyScore: number, valueScore: number) => { const matrixKey = `${recencyScore}-${valueScore}`; return getSegment(segments, segmentByScore[matrixKey]); }; const ScoreBadge = ({ value }: { value: number }) => ( {value} ); const Rfm = () => { const { dateRange, setDateRange, refreshInterval, setRefreshInterval } = useOutletContext<{ dateRange: DateRange; setDateRange: (range: DateRange) => void; refreshInterval: number; setRefreshInterval: (interval: number) => void; }>(); const [analytics, setAnalytics] = useState(null); const [isLoading, setIsLoading] = useState(true); const [searchTerm, setSearchTerm] = useState(''); const [segmentFilter, setSegmentFilter] = useState('all'); const [selectedSegmentKey, setSelectedSegmentKey] = useState(''); const [currentPage, setCurrentPage] = useState(1); const [itemsPerPage, setItemsPerPage] = useState(20); const loadRfm = useCallback(async (range: DateRange) => { setIsLoading(true); const data = await fetchRfmAnalytics(range); setAnalytics(data); setIsLoading(false); }, []); useEffect(() => { // RFM is calculated server-side from the selected date range. // eslint-disable-next-line react-hooks/set-state-in-effect void loadRfm(dateRange); }, [dateRange, loadRfm]); useEffect(() => { if (refreshInterval === 0) return; const intervalId = setInterval(() => { void loadRfm(dateRange); }, refreshInterval); return () => clearInterval(intervalId); }, [dateRange, loadRfm, refreshInterval]); const visibleAnalytics = analytics; const clients = visibleAnalytics?.clients || emptyClients; const segments = useMemo(() => { const sourceSegments = visibleAnalytics?.segments || emptySegments; return rfmSegmentDefinitions.map(definition => { const segment = sourceSegments.find(item => item.key === definition.key); return segment || { ...definition, count: 0, totalRevenue: 0, averageRevenue: 0 }; }); }, [visibleAnalytics]); const getPeriodRecencyDays = useCallback((lastPurchaseDate: string) => { const purchaseDate = parseLocalDate(lastPurchaseDate); if (!purchaseDate) return 0; const purchaseDay = startOfDay(purchaseDate).getTime(); const rangeEndDay = startOfDay(dateRange.end).getTime(); return Math.max(0, Math.floor((rangeEndDay - purchaseDay) / DAY_MS)); }, [dateRange.end]); const formatPeriodRecency = useCallback((lastPurchaseDate: string) => { const days = getPeriodRecencyDays(lastPurchaseDate); if (days === 0) return 'Hoje'; if (days === 1) return 'Ontem'; return `${days} dias`; }, [getPeriodRecencyDays]); const filteredClients = useMemo(() => { const normalizedSearch = searchTerm.trim().toLowerCase(); return clients.filter(client => { const matchesSegment = segmentFilter === 'all' || client.segmentKey === segmentFilter; const matchesSearch = !normalizedSearch || client.name.toLowerCase().includes(normalizedSearch) || client.phone.toLowerCase().includes(normalizedSearch); return matchesSegment && matchesSearch; }); }, [clients, searchTerm, segmentFilter]); const totalPages = Math.ceil(filteredClients.length / itemsPerPage); const startIndex = (currentPage - 1) * itemsPerPage; const paginatedClients = filteredClients.slice(startIndex, startIndex + itemsPerPage); const totals = useMemo(() => { const totalRevenue = clients.reduce((sum, client) => sum + client.monetary, 0); const periodClientCount = clients.filter(client => client.frequency > 0 || client.monetary > 0).length; const activeSegments = segments.filter(segment => segment.count > 0).length; const topSegment = [...segments].sort((a, b) => b.totalRevenue - a.totalRevenue)[0]; return { totalRevenue, periodClientCount, activeSegments, topSegment }; }, [clients, segments]); const segmentInsights = useMemo(() => { return segments.reduce>((insights, segment) => { const segmentClients = clients.filter(client => client.segmentKey === segment.key); const totalOrders = segmentClients.reduce((sum, client) => sum + client.frequency, 0); const totalRecency = segmentClients.reduce((sum, client) => sum + getPeriodRecencyDays(client.lastPurchaseDate), 0); insights[segment.key] = { averageRecencyDays: segmentClients.length ? totalRecency / segmentClients.length : 0, averageTicket: totalOrders ? segment.totalRevenue / totalOrders : 0, customerPercent: clients.length ? (segment.count / clients.length) * 100 : 0, revenuePercent: totals.totalRevenue ? (segment.totalRevenue / totals.totalRevenue) * 100 : 0, topClients: [...segmentClients].sort((a, b) => b.monetary - a.monetary).slice(0, 3) }; return insights; }, {}); }, [clients, segments, getPeriodRecencyDays, totals.totalRevenue]); const selectedSegment = selectedSegmentKey ? getSegment(segments, selectedSegmentKey) : undefined; const selectedSegmentStyle = segmentStyles[selectedSegment?.key || 'lost'] || segmentStyles.lost; const selectedSegmentInsights = selectedSegment ? segmentInsights[selectedSegment.key] : null; const handleExport = () => { const exportData = filteredClients.map(client => ({ Cliente: client.name, Telefone: client.phone, Segmento: client.segmentLabel, RFM: client.rfmScore, Recencia: client.recencyScore, Frequencia: client.frequencyScore, Monetario: client.monetaryScore, 'Compra no periodo': formatPeriodRecency(client.lastPurchaseDate), 'Pedidos no periodo': client.frequency, 'Ticket medio no periodo (R$)': (client.frequency ? client.monetary / client.frequency : 0).toFixed(2).replace('.', ','), 'Receita no periodo (R$)': client.monetary.toFixed(2).replace('.', ','), 'Ultima compra': formatDate(client.lastPurchaseDate) })); exportToCSV(exportData, `rfm_${new Date().toISOString().split('T')[0]}.csv`); }; return (

RFM

Segmentação de clientes por recência, frequência e valor monetário.

void loadRfm(dateRange)} />
{isLoading && (
Atualizando RFM
)}

Clientes no Período

{clients.length}

Agrupados pela tag RFM anterior

Receita no Período

{formatCurrency(totals.totalRevenue)}

Segmentos com Compra

{totals.activeSegments}

Maior receita no período: {totals.topSegment?.label || 'N/A'}

Matriz RFM

Compradores do período agrupados pela tag RFM anterior ao período.

Menor prioridade Maior prioridade

Eixos

Recência / Valor

{[1, 2, 3].map(valueScore => (

Valor {valueScore}

{scoreLabel(valueScore)}

))} {[3, 2, 1].map(recencyScore => (

Rec. {recencyScore}

{scoreLabel(recencyScore)}

{recencyScore === 3 ? 'Compra recente' : recencyScore === 2 ? 'Intermediário' : 'Distante'}

{[1, 2, 3].map(valueScore => { const segment = segmentForCell(segments, recencyScore, valueScore); const style = segmentStyles[segment?.key || 'lost']; const isActive = segmentFilter === segment?.key; const intensity = segment?.count ? 'opacity-100' : 'opacity-75'; return ( ); })}
))}

Segmentos

{segments.map(segment => { const style = segmentStyles[segment.key] || segmentStyles.lost; return ( ); })}
{selectedSegment && selectedSegmentInsights && (

Segmento selecionado

{selectedSegment.label}

{segmentActions[selectedSegment.key]}

Clientes

{selectedSegmentInsights.customerPercent.toFixed(1)}%

Receita período

{selectedSegmentInsights.revenuePercent.toFixed(1)}%

Ticket período

{formatCurrency(selectedSegmentInsights.averageTicket)}

Compra período

{selectedSegmentInsights.averageRecencyDays.toFixed(0)} dias

)}
{ setSearchTerm(event.target.value); setCurrentPage(1); }} className="w-full sm:w-72 bg-dark-input border border-dark-border text-dark-text rounded-xl pl-10 pr-4 py-2.5 focus:outline-none focus:border-brand-primary hover:border-brand-primary transition-colors shadow-sm" />
{paginatedClients.map((client: RfmClient) => { const style = segmentStyles[client.segmentKey] || segmentStyles.lost; return ( ); })}
Cliente Segmento RFM Última Compra Pedidos no Período Ticket no Período Receita no Período
{client.name} {client.phone || 'N/A'} {client.segmentLabel}
{formatDate(client.lastPurchaseDate)} {formatPeriodRecency(client.lastPurchaseDate)} {client.frequency} {formatCurrency(client.frequency ? client.monetary / client.frequency : 0)} {formatCurrency(client.monetary)}
{!filteredClients.length && (
Nenhum cliente encontrado.
)}
Mostrar clientes por página
Mostrando {filteredClients.length > 0 ? startIndex + 1 : 0} a {Math.min(startIndex + itemsPerPage, filteredClients.length)} de {filteredClients.length} clientes
); }; export default Rfm;