Optimize RFV all-period analytics
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@@ -262,12 +262,14 @@ const getClientAnalytics = async (range = {}) => {
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const getRfmAnalytics = async (range = {}) => {
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const { params, whereClause } = buildDateFilter(range);
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const normalizedStart = normalizeDateParam(range.start);
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const normalizedEnd = normalizeDateParam(range.end);
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const periodRecencyReferenceDate = normalizedEnd ? `$${params.length}::date` : 'CURRENT_DATE';
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const recencyReferenceDate = normalizedEnd ? '$1::date' : 'CURRENT_DATE';
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const historyParams = normalizedEnd ? [normalizedEnd] : [];
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const usePeriodAsHistory = !normalizedStart || normalizedStart <= '2000-01-01';
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const [periodResult, historyResult] = await Promise.all([
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pool.query(`
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const periodQuery = pool.query(`
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SELECT
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${CUSTOMER_KEY_SQL} as customer_key,
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MAX(cliente_nome) as name,
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@@ -275,13 +277,15 @@ const getRfmAnalytics = async (range = {}) => {
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COALESCE(SUM(quantidade * valor_unitario), 0) as monetary,
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COUNT(DISTINCT COALESCE(NULLIF(pedido_id, ''), data_pedido || '_' || valor_pedido::text))::int as frequency,
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COALESCE(SUM(quantidade), 0) as quantity_purchased,
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MAX(data_pedido_date) as last_purchase_date
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MAX(data_pedido_date) as last_purchase_date,
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GREATEST((${periodRecencyReferenceDate} - MAX(data_pedido_date))::int, 0) as recency_days
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FROM orders
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${whereClause}
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GROUP BY customer_key
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ORDER BY monetary DESC;
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`, params),
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pool.query(`
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`, params);
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const historyQuery = usePeriodAsHistory ? null : pool.query(`
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SELECT
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${CUSTOMER_KEY_SQL} as customer_key,
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MAX(cliente_nome) as name,
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@@ -295,10 +299,15 @@ const getRfmAnalytics = async (range = {}) => {
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WHERE data_pedido_date IS NOT NULL
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AND data_pedido_date <= ${recencyReferenceDate}
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GROUP BY customer_key;
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`, historyParams)
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]);
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`, historyParams);
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const historyClients = buildRfmClients(historyResult.rows.map(row => ({
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const [periodResult, historyResult] = historyQuery
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? await Promise.all([periodQuery, historyQuery])
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: [await periodQuery, null];
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const historyRows = historyResult ? historyResult.rows : periodResult.rows;
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const historyClients = buildRfmClients(historyRows.map(row => ({
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customerKey: row.customer_key,
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name: row.name,
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phone: row.phone || '',
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