Optimize RFV all-period analytics

backend/services/analyticsService.js

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

backend/test/analyticsService.test.js

@@ -197,7 +197,7 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
 
     pool.query = async (sql, params) => {
         calls.push({ sql, params });
-        const isHistoryQuery = sql.includes('recency_days');
+        const isHistoryQuery = sql.includes('AND data_pedido_date <= $1::date');
         const referenceDate = params[0];
 
         if (isHistoryQuery) {
@@ -282,3 +282,48 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
         pool.query = originalQuery;
     }
 });
+
+test('getRfmAnalytics reuses period rows as RFV history for all-period ranges', async () => {
+    const originalQuery = pool.query;
+    const calls = [];
+
+    pool.query = async (sql, params) => {
+        calls.push({ sql, params });
+        return {
+            rows: [
+                {
+                    customer_key: '1',
+                    name: 'Cliente Frequente',
+                    phone: '1',
+                    monetary: 5000,
+                    frequency: 20,
+                    quantity_purchased: 20,
+                    last_purchase_date: '2026-06-14',
+                    recency_days: 1
+                },
+                {
+                    customer_key: '2',
+                    name: 'Cliente Antigo',
+                    phone: '2',
+                    monetary: 50,
+                    frequency: 1,
+                    quantity_purchased: 1,
+                    last_purchase_date: '2026-01-01',
+                    recency_days: 165
+                }
+            ]
+        };
+    };
+
+    try {
+        const result = await getRfmAnalytics({ start: '2000-01-01', end: '2026-06-15' });
+
+        assert.equal(calls.length, 1);
+        assert.match(calls[0].sql, /\(\$2::date - MAX\(data_pedido_date\)\)::int/);
+        assert.deepEqual(calls[0].params, ['2000-01-01', '2026-06-15']);
+        assert.equal(result.clients.length, 2);
+        assert.equal(result.segments.reduce((total, segment) => total + segment.count, 0), 2);
+    } finally {
+        pool.query = originalQuery;
+    }
+});