Limit RFV history query to period buyers

backend/services/analyticsService.js

@@ -1,5 +1,6 @@
 const { pool } = require('../db');
 
+const RFM_QUERY_TIMEOUT_MS = 15000;
 const SIZE_SUFFIX_SQL_PATTERN = '\\s+-\\s+(?:(?:PP|P|M|G|GG|XG|XGG|EG|EGG|EXG|U|UNICO|ÚNICO|\\d{2})(?:/(?:PP|P|M|G|GG|XG|XGG|EG|EGG|EXG|U|UNICO|ÚNICO|\\d{2}))*)$';
 const PRODUCT_NAME_SQL = `
     CASE
@@ -263,11 +264,13 @@ const getClientAnalytics = async (range = {}) => {
 const getRfmAnalytics = async (range = {}) => {
     const { params, whereClause } = buildDateFilter(range);
     const normalizedEnd = normalizeDateParam(range.end);
-    const recencyReferenceDate = normalizedEnd ? '$1::date' : 'CURRENT_DATE';
-    const historyParams = normalizedEnd ? [normalizedEnd] : [];
+    const client = await pool.connect();
 
-    const [periodResult, historyResult] = await Promise.all([
-        pool.query(`
+    try {
+        await client.query('BEGIN');
+        await client.query(`SET LOCAL statement_timeout = '${RFM_QUERY_TIMEOUT_MS}ms'`);
+
+        const periodResult = await client.query(`
             SELECT
                 ${CUSTOMER_KEY_SQL} as customer_key,
                 MAX(COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido')) as name,
@@ -280,8 +283,37 @@ const getRfmAnalytics = async (range = {}) => {
             ${whereClause}
             GROUP BY customer_key
             ORDER BY monetary DESC;
-        `, params),
-        pool.query(`
+        `, params);
+
+        if (!periodResult.rows.length) {
+            await client.query('COMMIT');
+            return {
+                range: {
+                    start: normalizeDateParam(range.start),
+                    end: normalizeDateParam(range.end)
+                },
+                clients: [],
+                segments: buildRfmSegments([]),
+                matrix: {
+                    recencyScores: [3, 2, 1],
+                    valueScores: [1, 2, 3]
+                }
+            };
+        }
+
+        const periodPhones = [...new Set(periodResult.rows.map(row => row.phone).filter(Boolean))];
+        const periodNamesWithoutPhone = [...new Set(periodResult.rows
+            .filter(row => !row.phone && String(row.customer_key || '').startsWith('name:'))
+            .map(row => String(row.customer_key).slice(5))
+            .filter(Boolean))];
+        const historyParams = [];
+        const recencyReferenceDate = normalizedEnd
+            ? `$${historyParams.push(normalizedEnd)}::date`
+            : 'CURRENT_DATE';
+        const phoneListParam = `$${historyParams.push(periodPhones)}::text[]`;
+        const nameListParam = `$${historyParams.push(periodNamesWithoutPhone)}::text[]`;
+
+        const historyResult = await client.query(`
             SELECT
                 ${CUSTOMER_KEY_SQL} as customer_key,
                 MAX(COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido')) as name,
@@ -294,73 +326,87 @@ const getRfmAnalytics = async (range = {}) => {
             FROM orders
             WHERE data_pedido_date IS NOT NULL
               AND data_pedido_date <= ${recencyReferenceDate}
+              AND (
+                NULLIF(cliente_fone, '') = ANY(${phoneListParam})
+                OR (
+                    NULLIF(cliente_fone, '') IS NULL
+                    AND COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido') = ANY(${nameListParam})
+                )
+              )
             GROUP BY customer_key;
-        `, historyParams)
-    ]);
+        `, historyParams);
 
-    const historyClients = buildRfmClients(historyResult.rows.map(row => ({
-        customerKey: row.customer_key,
-        name: row.name,
-        phone: row.phone || '',
-        monetary: toNumber(row.monetary),
-        frequency: toNumber(row.frequency),
-        quantityPurchased: toNumber(row.quantity_purchased),
-        lastPurchaseDate: row.last_purchase_date,
-        recencyDays: toNumber(row.recency_days)
-    })));
-    const tagsByCustomerKey = new Map(historyClients.map(client => [client.customerKey, client]));
-
-    const clients = periodResult.rows.map(row => {
-        const taggedClient = tagsByCustomerKey.get(row.customer_key);
-        if (!taggedClient) {
-            const newCustomerSegment = getRfmSegment(3, 1);
-            return {
-                customerKey: row.customer_key,
-                name: row.name,
-                phone: row.phone || '',
-                monetary: toNumber(row.monetary),
-                frequency: toNumber(row.frequency),
-                quantityPurchased: toNumber(row.quantity_purchased),
-                lastPurchaseDate: row.last_purchase_date,
-                recencyDays: 0,
-                recencyScore: 3,
-                frequencyScore: 1,
-                monetaryScore: 1,
-                valueScore: 1,
-                rfmScore: '311',
-                segmentKey: newCustomerSegment.key,
-                segmentLabel: newCustomerSegment.label
-            };
-        }
-
-        return {
-            ...taggedClient,
+        const historyClients = buildRfmClients(historyResult.rows.map(row => ({
             customerKey: row.customer_key,
             name: row.name,
             phone: row.phone || '',
             monetary: toNumber(row.monetary),
             frequency: toNumber(row.frequency),
             quantityPurchased: toNumber(row.quantity_purchased),
-            lastPurchaseDate: row.last_purchase_date
-        };
-    }).sort((a, b) => {
-        if (b.recencyScore !== a.recencyScore) return b.recencyScore - a.recencyScore;
-        if (b.valueScore !== a.valueScore) return b.valueScore - a.valueScore;
-        return b.monetary - a.monetary;
-    });
+            lastPurchaseDate: row.last_purchase_date,
+            recencyDays: toNumber(row.recency_days)
+        })));
+        const tagsByCustomerKey = new Map(historyClients.map(historyClient => [historyClient.customerKey, historyClient]));
 
-    return {
-        range: {
-            start: normalizeDateParam(range.start),
-            end: normalizeDateParam(range.end)
-        },
-        clients,
-        segments: buildRfmSegments(clients),
-        matrix: {
-            recencyScores: [3, 2, 1],
-            valueScores: [1, 2, 3]
-        }
-    };
+        const clients = periodResult.rows.map(row => {
+            const taggedClient = tagsByCustomerKey.get(row.customer_key);
+            if (!taggedClient) {
+                const newCustomerSegment = getRfmSegment(3, 1);
+                return {
+                    customerKey: row.customer_key,
+                    name: row.name,
+                    phone: row.phone || '',
+                    monetary: toNumber(row.monetary),
+                    frequency: toNumber(row.frequency),
+                    quantityPurchased: toNumber(row.quantity_purchased),
+                    lastPurchaseDate: row.last_purchase_date,
+                    recencyDays: 0,
+                    recencyScore: 3,
+                    frequencyScore: 1,
+                    monetaryScore: 1,
+                    valueScore: 1,
+                    rfmScore: '311',
+                    segmentKey: newCustomerSegment.key,
+                    segmentLabel: newCustomerSegment.label
+                };
+            }
+
+            return {
+                ...taggedClient,
+                customerKey: row.customer_key,
+                name: row.name,
+                phone: row.phone || '',
+                monetary: toNumber(row.monetary),
+                frequency: toNumber(row.frequency),
+                quantityPurchased: toNumber(row.quantity_purchased),
+                lastPurchaseDate: row.last_purchase_date
+            };
+        }).sort((a, b) => {
+            if (b.recencyScore !== a.recencyScore) return b.recencyScore - a.recencyScore;
+            if (b.valueScore !== a.valueScore) return b.valueScore - a.valueScore;
+            return b.monetary - a.monetary;
+        });
+
+        await client.query('COMMIT');
+
+        return {
+            range: {
+                start: normalizeDateParam(range.start),
+                end: normalizeDateParam(range.end)
+            },
+            clients,
+            segments: buildRfmSegments(clients),
+            matrix: {
+                recencyScores: [3, 2, 1],
+                valueScores: [1, 2, 3]
+            }
+        };
+    } catch (error) {
+        await client.query('ROLLBACK').catch(() => {});
+        throw error;
+    } finally {
+        client.release();
+    }
 };
 
 module.exports = {

backend/test/analyticsService.test.js

@@ -192,106 +192,118 @@ test('buildRfmClients scores segments from RFM history when period totals are sm
 });
 
 test('getRfmAnalytics classifies period buyers by history through the selected range end', async () => {
-    const originalQuery = pool.query;
+    const originalConnect = pool.connect;
     const calls = [];
+    const mockClient = {
+        query: async (sql, params = []) => {
+            calls.push({ sql, params });
+            const isHistoryQuery = sql.includes('recency_days');
+            const isPeriodQuery = sql.includes('FROM orders');
+            const referenceDate = params[0];
 
-    pool.query = async (sql, params) => {
-        calls.push({ sql, params });
-        const isHistoryQuery = sql.includes('recency_days');
-        const referenceDate = params[0];
+            if (!isPeriodQuery) {
+                return { rows: [] };
+            }
+
+            if (isHistoryQuery) {
+                return {
+                    rows: [
+                        {
+                            customer_key: '1',
+                            name: 'Cliente Ontem',
+                            phone: '1',
+                            monetary: 5000,
+                            frequency: 20,
+                            quantity_purchased: 20,
+                            last_purchase_date: '2026-06-14',
+                            recency_days: referenceDate === '2026-06-14' ? 0 : 1
+                        },
+                        {
+                            customer_key: '2',
+                            name: 'Cliente Antigo',
+                            phone: '2',
+                            monetary: 50,
+                            frequency: 1,
+                            quantity_purchased: 1,
+                            last_purchase_date: '2026-01-01',
+                            recency_days: 164
+                        },
+                        {
+                            customer_key: '3',
+                            name: 'Cliente Medio',
+                            phone: '3',
+                            monetary: 100,
+                            frequency: 2,
+                            quantity_purchased: 2,
+                            last_purchase_date: '2026-03-01',
+                            recency_days: 105
+                        },
+                        {
+                            customer_key: 'name:Cliente Sem Fone',
+                            name: 'Cliente Sem Fone',
+                            phone: null,
+                            monetary: 1000,
+                            frequency: 10,
+                            quantity_purchased: 10,
+                            last_purchase_date: '2026-06-14',
+                            recency_days: 1
+                        }
+                    ]
+                };
+            }
 
-        if (isHistoryQuery) {
             return {
                 rows: [
                     {
                         customer_key: '1',
                         name: 'Cliente Ontem',
                         phone: '1',
-                        monetary: 5000,
-                        frequency: 20,
-                        quantity_purchased: 20,
-                        last_purchase_date: '2026-06-14',
-                        recency_days: referenceDate === '2026-06-14' ? 0 : 1
-                    },
-                    {
-                        customer_key: '2',
-                        name: 'Cliente Antigo',
-                        phone: '2',
-                        monetary: 50,
+                        monetary: 100,
                         frequency: 1,
                         quantity_purchased: 1,
-                        last_purchase_date: '2026-01-01',
-                        recency_days: 164
+                        last_purchase_date: '2026-06-14'
                     },
                     {
-                        customer_key: '3',
-                        name: 'Cliente Medio',
-                        phone: '3',
-                        monetary: 100,
-                        frequency: 2,
-                        quantity_purchased: 2,
-                        last_purchase_date: '2026-03-01',
-                        recency_days: 105
+                        customer_key: '4',
+                        name: 'Cliente Novo no Periodo',
+                        phone: '4',
+                        monetary: 25,
+                        frequency: 1,
+                        quantity_purchased: 1,
+                        last_purchase_date: '2026-06-14'
                     },
                     {
                         customer_key: 'name:Cliente Sem Fone',
                         name: 'Cliente Sem Fone',
                         phone: null,
-                        monetary: 1000,
-                        frequency: 10,
-                        quantity_purchased: 10,
-                        last_purchase_date: '2026-06-14',
-                        recency_days: 1
+                        monetary: 30,
+                        frequency: 1,
+                        quantity_purchased: 1,
+                        last_purchase_date: '2026-06-14'
                     }
                 ]
             };
-        }
-
-        return {
-            rows: [
-                {
-                    customer_key: '1',
-                    name: 'Cliente Ontem',
-                    phone: '1',
-                    monetary: 100,
-                    frequency: 1,
-                    quantity_purchased: 1,
-                    last_purchase_date: '2026-06-14'
-                },
-                {
-                    customer_key: '4',
-                    name: 'Cliente Novo no Periodo',
-                    phone: '4',
-                    monetary: 25,
-                    frequency: 1,
-                    quantity_purchased: 1,
-                    last_purchase_date: '2026-06-14'
-                },
-                {
-                    customer_key: 'name:Cliente Sem Fone',
-                    name: 'Cliente Sem Fone',
-                    phone: null,
-                    monetary: 30,
-                    frequency: 1,
-                    quantity_purchased: 1,
-                    last_purchase_date: '2026-06-14'
-                }
-            ]
-        };
+        },
+        release: () => {}
     };
+    pool.connect = async () => mockClient;
 
     try {
         const sevenDays = await getRfmAnalytics({ start: '2026-06-09', end: '2026-06-15' });
         const yesterday = await getRfmAnalytics({ start: '2026-06-14', end: '2026-06-14' });
+        const selectCalls = calls.filter(call => call.sql.includes('FROM orders'));
 
-        assert.deepEqual(calls[0].params, ['2026-06-09', '2026-06-15']);
-        assert.doesNotMatch(calls[0].sql, /cliente_fone IS NOT NULL/);
-        assert.match(calls[1].sql, /\(\$1::date - MAX\(data_pedido_date\)\)::int/);
-        assert.match(calls[1].sql, /data_pedido_date <= \$1::date/);
-        assert.doesNotMatch(calls[1].sql, /cliente_fone IS NOT NULL/);
-        assert.deepEqual(calls[1].params, ['2026-06-15']);
-        assert.deepEqual(calls[2].params, ['2026-06-14', '2026-06-14']);
-        assert.deepEqual(calls[3].params, ['2026-06-14']);
+        assert.match(calls[1].sql, /SET LOCAL statement_timeout/);
+        assert.deepEqual(selectCalls[0].params, ['2026-06-09', '2026-06-15']);
+        assert.doesNotMatch(selectCalls[0].sql, /cliente_fone IS NOT NULL/);
+        assert.match(selectCalls[1].sql, /\(\$1::date - MAX\(data_pedido_date\)\)::int/);
+        assert.match(selectCalls[1].sql, /data_pedido_date <= \$1::date/);
+        assert.match(selectCalls[1].sql, /NULLIF\(cliente_fone, ''\) = ANY\(\$2::text\[\]\)/);
+        assert.match(selectCalls[1].sql, /COALESCE\(NULLIF\(cliente_nome, ''\), 'Cliente Desconhecido'\) = ANY\(\$3::text\[\]\)/);
+        assert.doesNotMatch(selectCalls[1].sql, /cliente_fone IS NOT NULL/);
+        assert.deepEqual(selectCalls[1].params, ['2026-06-15', ['1', '4'], ['Cliente Sem Fone']]);
+        assert.deepEqual(selectCalls[2].params, ['2026-06-14', '2026-06-14']);
+        assert.deepEqual(selectCalls[3].params, ['2026-06-14', ['1', '4'], ['Cliente Sem Fone']]);
         assert.equal(sevenDays.clients[0].segmentKey, 'champions');
         assert.equal(yesterday.clients[0].segmentKey, 'champions');
         assert.equal(yesterday.clients[0].frequency, 1);
@@ -306,6 +318,6 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
             client.monetary === 30
         )));
     } finally {
-        pool.query = originalQuery;
+        pool.connect = originalConnect;
     }
 });

src/pages/Clients.tsx

@@ -83,12 +83,14 @@ const Clients = () => {
     let isMounted = true;
 
     const loadClients = async () => {
-      const [clientsData, rfmData] = await Promise.all([
-        fetchClientAnalytics(dateRange),
-        fetchRfmAnalytics(dateRange)
-      ]);
+      const clientsData = await fetchClientAnalytics(dateRange);
       if (isMounted) {
         setClientAnalytics(clientsData);
+        setRfmAnalytics(null);
+      }
+
+      const rfmData = await fetchRfmAnalytics(dateRange);
+      if (isMounted) {
         setRfmAnalytics(rfmData);
       }
     };