Rollback analytics to ed1f129b07
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Build and Deploy / build-and-deploy (push) Successful in 1m5s
All checks were successful
Build and Deploy / build-and-deploy (push) Successful in 1m5s
This commit is contained in:
@@ -1,6 +1,5 @@
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const { Pool } = require('pg');
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const { DATABASE_URL } = require('./config');
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const { ORDER_DATE_SQL } = require('./sql/orderDateSql');
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const pool = new Pool({
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connectionString: DATABASE_URL
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@@ -37,7 +36,11 @@ const initDB = async () => {
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await pool.query(`
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UPDATE orders
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SET data_pedido_date = ${ORDER_DATE_SQL}
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SET data_pedido_date = CASE
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WHEN data_pedido ~ '^\\d{4}[-/]\\d{1,2}[-/]\\d{1,2}' THEN to_date(replace(left(data_pedido, 10), '/', '-'), 'YYYY-MM-DD')
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WHEN data_pedido ~ '^\\d{1,2}[-/]\\d{1,2}[-/]\\d{4}' THEN to_date(replace(left(data_pedido, 10), '/', '-'), 'DD-MM-YYYY')
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ELSE NULL
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END
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WHERE data_pedido_date IS NULL
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AND data_pedido IS NOT NULL
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AND data_pedido != '';
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@@ -1,5 +1,4 @@
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const { pool } = require('../db');
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const { ORDER_DATE_SQL } = require('../sql/orderDateSql');
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const SIZE_SUFFIX_SQL_PATTERN = '\\s+-\\s+(?:(?:PP|P|M|G|GG|XG|XGG|EG|EGG|EXG|U|UNICO|ÚNICO|\\d{2})(?:/(?:PP|P|M|G|GG|XG|XGG|EG|EGG|EXG|U|UNICO|ÚNICO|\\d{2}))*)$';
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const PRODUCT_NAME_SQL = `
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@@ -8,7 +7,6 @@ const PRODUCT_NAME_SQL = `
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ELSE NULLIF(TRIM(regexp_replace(split_part(COALESCE(produto_descricao, 'Unknown'), ' TAMANHO', 1), '${SIZE_SUFFIX_SQL_PATTERN}', '', 'i')), '')
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END
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`;
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const CUSTOMER_KEY_SQL = "COALESCE(NULLIF(cliente_fone, ''), 'name:' || COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido'))";
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const normalizeDateParam = (value) => {
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if (!value) return null;
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@@ -35,18 +33,18 @@ const normalizeDateParam = (value) => {
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const buildDateFilter = ({ start, end } = {}) => {
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const params = [];
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const filters = [`${ORDER_DATE_SQL} IS NOT NULL`];
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const filters = ['data_pedido_date IS NOT NULL'];
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const normalizedStart = normalizeDateParam(start);
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const normalizedEnd = normalizeDateParam(end);
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if (normalizedStart) {
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params.push(normalizedStart);
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filters.push(`${ORDER_DATE_SQL} >= $${params.length}::date`);
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filters.push(`data_pedido_date >= $${params.length}::date`);
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}
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if (normalizedEnd) {
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params.push(normalizedEnd);
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filters.push(`${ORDER_DATE_SQL} <= $${params.length}::date`);
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filters.push(`data_pedido_date <= $${params.length}::date`);
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}
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return {
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@@ -213,8 +211,8 @@ const getProductAnalytics = async (range = {}) => {
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COALESCE(SUM(quantidade), 0) as quantity_sold,
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COALESCE(SUM(quantidade * valor_unitario), 0) as revenue,
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COUNT(*)::int as order_line_count,
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MIN(${ORDER_DATE_SQL}) as first_sale_date,
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MAX(${ORDER_DATE_SQL}) as last_sale_date
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MIN(data_pedido_date) as first_sale_date,
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MAX(data_pedido_date) as last_sale_date
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FROM orders
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${whereClause}
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GROUP BY name
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@@ -237,21 +235,19 @@ const getClientAnalytics = async (range = {}) => {
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const { params, whereClause } = buildDateFilter(range);
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const result = await pool.query(`
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SELECT
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${CUSTOMER_KEY_SQL} as customer_key,
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MAX(COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido')) as name,
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COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido') as name,
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MAX(NULLIF(cliente_fone, '')) as phone,
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COALESCE(SUM(quantidade), 0) as quantity_purchased,
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COALESCE(SUM(quantidade * valor_unitario), 0) as total_spent,
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COUNT(DISTINCT COALESCE(NULLIF(pedido_id, ''), data_pedido || '_' || valor_pedido::text))::int as order_count,
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MAX(${ORDER_DATE_SQL}) as last_purchase_date
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MAX(data_pedido_date) as last_purchase_date
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FROM orders
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${whereClause}
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GROUP BY customer_key
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GROUP BY COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido')
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ORDER BY total_spent DESC;
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`, params);
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return result.rows.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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quantityPurchased: toNumber(row.quantity_purchased),
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@@ -265,69 +261,62 @@ 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 tagReference = getPreviousDate(normalizedStart) || normalizedEnd;
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const recencyReferenceDate = tagReference ? '$1::date' : 'CURRENT_DATE';
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const historyParams = tagReference ? [tagReference] : [];
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const periodQuery = pool.query(`
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const [periodResult, historyResult] = await Promise.all([
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pool.query(`
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SELECT
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${CUSTOMER_KEY_SQL} as customer_key,
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MAX(cliente_nome) as name,
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MAX(NULLIF(cliente_fone, '')) as phone,
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cliente_fone as phone,
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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(${ORDER_DATE_SQL}) as last_purchase_date,
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GREATEST((${periodRecencyReferenceDate} - MAX(${ORDER_DATE_SQL}))::int, 0) as recency_days
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MAX(data_pedido_date) as last_purchase_date
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FROM orders
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${whereClause}
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GROUP BY customer_key
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AND cliente_fone IS NOT NULL
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AND cliente_fone != ''
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GROUP BY cliente_fone
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ORDER BY monetary DESC;
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`, params);
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const historyQuery = usePeriodAsHistory ? null : pool.query(`
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`, params),
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pool.query(`
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SELECT
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${CUSTOMER_KEY_SQL} as customer_key,
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MAX(cliente_nome) as name,
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MAX(NULLIF(cliente_fone, '')) as phone,
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cliente_fone as phone,
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COALESCE(SUM(quantidade * valor_unitario), 0) as monetary,
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COUNT(DISTINCT COALESCE(NULLIF(pedido_id, ''), data_pedido || '_' || valor_pedido::text))::int as frequency,
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COALESCE(SUM(quantidade), 0) as quantity_purchased,
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MAX(${ORDER_DATE_SQL}) as last_purchase_date,
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GREATEST((${recencyReferenceDate} - MAX(${ORDER_DATE_SQL}))::int, 0) as recency_days
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MAX(data_pedido_date) as last_purchase_date,
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GREATEST((${recencyReferenceDate} - MAX(data_pedido_date))::int, 0) as recency_days
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FROM orders
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WHERE ${ORDER_DATE_SQL} IS NOT NULL
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AND ${ORDER_DATE_SQL} <= ${recencyReferenceDate}
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GROUP BY customer_key;
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`, historyParams);
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WHERE data_pedido_date IS NOT NULL
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AND data_pedido_date <= ${recencyReferenceDate}
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AND cliente_fone IS NOT NULL
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AND cliente_fone != ''
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GROUP BY cliente_fone;
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`, historyParams)
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]);
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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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const historyClients = buildRfmClients(historyResult.rows.map(row => ({
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name: row.name,
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phone: row.phone || '',
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phone: row.phone,
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monetary: toNumber(row.monetary),
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frequency: toNumber(row.frequency),
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quantityPurchased: toNumber(row.quantity_purchased),
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lastPurchaseDate: row.last_purchase_date,
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recencyDays: toNumber(row.recency_days)
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})));
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const tagsByCustomerKey = new Map(historyClients.map(client => [client.customerKey, client]));
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const tagsByPhone = new Map(historyClients.map(client => [client.phone, client]));
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const clients = periodResult.rows.map(row => {
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const taggedClient = tagsByCustomerKey.get(row.customer_key);
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const taggedClient = tagsByPhone.get(row.phone);
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if (!taggedClient) {
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const newCustomerSegment = getRfmSegment(3, 1);
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return {
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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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phone: row.phone,
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monetary: toNumber(row.monetary),
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frequency: toNumber(row.frequency),
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quantityPurchased: toNumber(row.quantity_purchased),
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@@ -345,9 +334,8 @@ const getRfmAnalytics = async (range = {}) => {
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return {
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...taggedClient,
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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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phone: row.phone,
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monetary: toNumber(row.monetary),
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frequency: toNumber(row.frequency),
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quantityPurchased: toNumber(row.quantity_purchased),
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@@ -384,6 +372,5 @@ module.exports = {
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getDashboardAnalytics,
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getProductAnalytics,
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normalizeDateParam,
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ORDER_DATE_SQL,
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scoreTertile
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};
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@@ -1,44 +0,0 @@
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const ISO_ORDER_YEAR_SQL = "substring(data_pedido from '^(\\d{4})[-/]')::int";
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const ISO_ORDER_MONTH_SQL = "substring(data_pedido from '^\\d{4}[-/](\\d{1,2})[-/]')::int";
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const ISO_ORDER_DAY_SQL = "substring(data_pedido from '^\\d{4}[-/]\\d{1,2}[-/](\\d{1,2})')::int";
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const BR_ORDER_DAY_SQL = "substring(data_pedido from '^(\\d{1,2})[-/]')::int";
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const BR_ORDER_MONTH_SQL = "substring(data_pedido from '^\\d{1,2}[-/](\\d{1,2})[-/]')::int";
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const BR_ORDER_YEAR_SQL = "substring(data_pedido from '^\\d{1,2}[-/]\\d{1,2}[-/](\\d{4})')::int";
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const buildSafeDateSql = ({ yearSql, monthSql, daySql }) => {
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const candidateDateSql = `(make_date(${yearSql}, ${monthSql}, 1) + ((${daySql} - 1) * INTERVAL '1 day'))::date`;
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return `
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CASE
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WHEN ${yearSql} BETWEEN 1 AND 9999
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AND ${monthSql} BETWEEN 1 AND 12
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AND ${daySql} BETWEEN 1 AND 31
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AND EXTRACT(MONTH FROM ${candidateDateSql})::int = ${monthSql}
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THEN ${candidateDateSql}
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ELSE NULL
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END
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`;
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};
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const ORDER_DATE_SQL = `
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COALESCE(
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data_pedido_date,
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CASE
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WHEN data_pedido ~ '^\\d{4}[-/]\\d{1,2}[-/]\\d{1,2}' THEN ${buildSafeDateSql({
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yearSql: ISO_ORDER_YEAR_SQL,
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monthSql: ISO_ORDER_MONTH_SQL,
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daySql: ISO_ORDER_DAY_SQL
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})}
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WHEN data_pedido ~ '^\\d{1,2}[-/]\\d{1,2}[-/]\\d{4}' THEN ${buildSafeDateSql({
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yearSql: BR_ORDER_YEAR_SQL,
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monthSql: BR_ORDER_MONTH_SQL,
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daySql: BR_ORDER_DAY_SQL
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})}
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ELSE NULL
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END
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)
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`;
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module.exports = {
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ORDER_DATE_SQL
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};
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@@ -9,26 +9,10 @@ const {
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getRfmAnalytics,
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getRfmSegment,
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normalizeDateParam,
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ORDER_DATE_SQL,
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scoreTertile
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} = require('../services/analyticsService');
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const { pool } = require('../db');
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const compactSql = (sql) => sql.replace(/\s+/g, ' ').trim();
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const expectedDateFilter = ({ startPlaceholder, endPlaceholder } = {}) => {
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const filters = [`${ORDER_DATE_SQL} IS NOT NULL`];
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if (startPlaceholder) {
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filters.push(`${ORDER_DATE_SQL} >= ${startPlaceholder}::date`);
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}
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if (endPlaceholder) {
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filters.push(`${ORDER_DATE_SQL} <= ${endPlaceholder}::date`);
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}
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return `WHERE ${filters.join(' AND ')}`;
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};
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test('normalizeDateParam accepts strict ISO dates', () => {
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assert.equal(normalizeDateParam('2026-05-28'), '2026-05-28');
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});
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@@ -44,8 +28,8 @@ test('buildDateFilter builds bounded date predicates', () => {
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assert.deepEqual(filter.params, ['2026-05-01', '2026-05-28']);
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assert.equal(
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compactSql(filter.whereClause),
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compactSql(expectedDateFilter({ startPlaceholder: '$1', endPlaceholder: '$2' }))
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filter.whereClause,
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'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
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);
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});
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@@ -54,8 +38,8 @@ test('buildDateFilter builds Hoje as an inclusive single-day date predicate', ()
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assert.deepEqual(filter.params, ['2026-06-15', '2026-06-15']);
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assert.equal(
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compactSql(filter.whereClause),
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compactSql(expectedDateFilter({ startPlaceholder: '$1', endPlaceholder: '$2' }))
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filter.whereClause,
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'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
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);
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});
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@@ -64,8 +48,8 @@ test('buildDateFilter builds Ontem as an inclusive single-day date predicate', (
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assert.deepEqual(filter.params, ['2026-06-14', '2026-06-14']);
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assert.equal(
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compactSql(filter.whereClause),
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compactSql(expectedDateFilter({ startPlaceholder: '$1', endPlaceholder: '$2' }))
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filter.whereClause,
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'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
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);
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});
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@@ -74,8 +58,8 @@ test('buildDateFilter builds Ultimos 7 dias as an inclusive calendar range', ()
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assert.deepEqual(filter.params, ['2026-06-09', '2026-06-15']);
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assert.equal(
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compactSql(filter.whereClause),
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compactSql(expectedDateFilter({ startPlaceholder: '$1', endPlaceholder: '$2' }))
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filter.whereClause,
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'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
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);
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});
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@@ -84,8 +68,8 @@ test('buildDateFilter builds custom single-day ranges inclusively', () => {
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assert.deepEqual(filter.params, ['2026-06-10', '2026-06-10']);
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assert.equal(
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compactSql(filter.whereClause),
|
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compactSql(expectedDateFilter({ startPlaceholder: '$1', endPlaceholder: '$2' }))
|
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filter.whereClause,
|
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'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
|
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);
|
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});
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@@ -94,20 +78,11 @@ test('buildDateFilter ignores invalid bounds', () => {
|
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|
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assert.deepEqual(filter.params, ['2026-05-28']);
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assert.equal(
|
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compactSql(filter.whereClause),
|
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compactSql(expectedDateFilter({ endPlaceholder: '$1' }))
|
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filter.whereClause,
|
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'WHERE data_pedido_date IS NOT NULL AND data_pedido_date <= $1::date'
|
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);
|
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});
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test('buildDateFilter falls back to parsing the stored display date when normalized dates are missing', () => {
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const filter = buildDateFilter({ start: '2026-05-01', end: '2026-05-28' });
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const whereClause = compactSql(filter.whereClause);
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assert.match(whereClause, /COALESCE\( data_pedido_date,/);
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assert.match(whereClause, /data_pedido ~ '\^\\d\{4\}/);
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assert.match(whereClause, /data_pedido ~ '\^\\d\{1,2\}/);
|
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});
|
||||
|
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test('getPreviousDate returns the calendar day before an ISO date', () => {
|
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assert.equal(getPreviousDate('2026-06-15'), '2026-06-14');
|
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assert.equal(getPreviousDate('2026-03-01'), '2026-02-28');
|
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@@ -216,30 +191,28 @@ test('buildRfmClients scores segments from RFM history when period totals are sm
|
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assert.equal(yesterdayBuyer.monetaryScore, 3);
|
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});
|
||||
|
||||
test('getRfmAnalytics classifies period buyers by history through the selected range end', async () => {
|
||||
test('getRfmAnalytics groups period buyers by their RFM tag before the selected period', async () => {
|
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const originalQuery = pool.query;
|
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const calls = [];
|
||||
|
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pool.query = async (sql, params) => {
|
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calls.push({ sql, params });
|
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const isHistoryQuery = params.length === 1;
|
||||
const referenceDate = params[0];
|
||||
const isHistoryQuery = sql.includes('recency_days');
|
||||
const endDate = params[0];
|
||||
|
||||
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
|
||||
recency_days: endDate === '2026-06-13' ? 0 : 1
|
||||
},
|
||||
{
|
||||
customer_key: '2',
|
||||
name: 'Cliente Antigo',
|
||||
phone: '2',
|
||||
monetary: 50,
|
||||
@@ -249,7 +222,6 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
|
||||
recency_days: 164
|
||||
},
|
||||
{
|
||||
customer_key: '3',
|
||||
name: 'Cliente Medio',
|
||||
phone: '3',
|
||||
monetary: 100,
|
||||
@@ -257,16 +229,6 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
|
||||
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
|
||||
}
|
||||
]
|
||||
};
|
||||
@@ -275,7 +237,6 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
|
||||
return {
|
||||
rows: [
|
||||
{
|
||||
customer_key: '1',
|
||||
name: 'Cliente Ontem',
|
||||
phone: '1',
|
||||
monetary: 100,
|
||||
@@ -284,22 +245,12 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
|
||||
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'
|
||||
}
|
||||
]
|
||||
};
|
||||
@@ -310,69 +261,18 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
|
||||
const yesterday = await getRfmAnalytics({ start: '2026-06-14', end: '2026-06-14' });
|
||||
|
||||
assert.deepEqual(calls[0].params, ['2026-06-09', '2026-06-15']);
|
||||
assert.match(compactSql(calls[1].sql), /\(\$1::date - MAX\( COALESCE\( data_pedido_date,/);
|
||||
assert.match(compactSql(calls[1].sql), /COALESCE\( data_pedido_date,.* <= \$1::date/);
|
||||
assert.deepEqual(calls[1].params, ['2026-06-15']);
|
||||
assert.match(calls[1].sql, /\(\$1::date - MAX\(data_pedido_date\)\)::int/);
|
||||
assert.match(calls[1].sql, /data_pedido_date <= \$1::date/);
|
||||
assert.deepEqual(calls[1].params, ['2026-06-08']);
|
||||
assert.deepEqual(calls[2].params, ['2026-06-14', '2026-06-14']);
|
||||
assert.deepEqual(calls[3].params, ['2026-06-14']);
|
||||
assert.deepEqual(calls[3].params, ['2026-06-13']);
|
||||
assert.equal(sevenDays.clients[0].segmentKey, 'champions');
|
||||
assert.equal(yesterday.clients[0].segmentKey, 'champions');
|
||||
assert.equal(yesterday.clients[0].frequency, 1);
|
||||
assert.equal(yesterday.clients[0].monetary, 100);
|
||||
assert.equal(yesterday.clients.length, 3);
|
||||
assert.equal(yesterday.clients.length, 2);
|
||||
assert.ok(!yesterday.clients.some(client => client.phone === '2'));
|
||||
assert.ok(yesterday.clients.some(client => client.phone === '4' && client.segmentKey === 'new_customers'));
|
||||
assert.ok(yesterday.clients.some(client => (
|
||||
client.customerKey === 'name:Cliente Sem Fone' &&
|
||||
client.phone === '' &&
|
||||
client.segmentKey === 'champions' &&
|
||||
client.monetary === 30
|
||||
)));
|
||||
} finally {
|
||||
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(compactSql(calls[0].sql), /\(\$2::date - MAX\( COALESCE\( data_pedido_date,/);
|
||||
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;
|
||||
}
|
||||
|
||||
@@ -109,16 +109,6 @@ const authFetch = async (path: string, options: RequestInit = {}): Promise<Respo
|
||||
return response;
|
||||
};
|
||||
|
||||
const fetchClientAnalyticsForRange = async (dateRange: DateRange): Promise<ClientAnalyticsItem[]> => {
|
||||
const params = new URLSearchParams({
|
||||
start: formatDateParam(dateRange.start),
|
||||
end: formatDateParam(dateRange.end)
|
||||
});
|
||||
const response = await authFetch(`/analytics/clients?${params.toString()}`);
|
||||
if (!response.ok) return [];
|
||||
return await response.json();
|
||||
};
|
||||
|
||||
export const fetchDashboardAnalytics = async (dateRange: DateRange): Promise<DashboardAnalytics | null> => {
|
||||
try {
|
||||
const params = new URLSearchParams({
|
||||
@@ -151,7 +141,13 @@ export const fetchRfmAnalytics = async (dateRange: DateRange): Promise<RfmAnalyt
|
||||
|
||||
export const fetchClientAnalytics = async (dateRange: DateRange): Promise<ClientAnalyticsItem[]> => {
|
||||
try {
|
||||
return await fetchClientAnalyticsForRange(dateRange);
|
||||
const params = new URLSearchParams({
|
||||
start: formatDateParam(dateRange.start),
|
||||
end: formatDateParam(dateRange.end)
|
||||
});
|
||||
const response = await authFetch(`/analytics/clients?${params.toString()}`);
|
||||
if (!response.ok) return [];
|
||||
return await response.json();
|
||||
} catch (error) {
|
||||
console.error('Fetch client analytics failed', error);
|
||||
return [];
|
||||
|
||||
@@ -7,7 +7,7 @@ import DateRangePicker from '../components/DateRangePicker';
|
||||
import type { ClientSortOption, ClientSummary } from '../analytics/clients';
|
||||
|
||||
const clientTypeStyles: Record<string, string> = {
|
||||
'Sem análise': 'border-zinc-500/30 bg-zinc-500/15 text-zinc-300',
|
||||
'Sem análise': 'border-zinc-600/30 bg-zinc-600/15 text-zinc-300',
|
||||
'Campeão': 'border-emerald-500/30 bg-emerald-500/15 text-emerald-300',
|
||||
'Potencial Leal': 'border-sky-500/30 bg-sky-500/15 text-sky-300',
|
||||
'Novo Cliente': 'border-cyan-500/30 bg-cyan-500/15 text-cyan-300',
|
||||
@@ -83,13 +83,12 @@ const Clients = () => {
|
||||
let isMounted = true;
|
||||
|
||||
const loadClients = async () => {
|
||||
const clientsData = await fetchClientAnalytics(dateRange);
|
||||
const [clientsData, rfmData] = await Promise.all([
|
||||
fetchClientAnalytics(dateRange),
|
||||
fetchRfmAnalytics(dateRange)
|
||||
]);
|
||||
if (isMounted) {
|
||||
setClientAnalytics(clientsData);
|
||||
}
|
||||
|
||||
const rfmData = await fetchRfmAnalytics(dateRange);
|
||||
if (isMounted) {
|
||||
setRfmAnalytics(rfmData);
|
||||
}
|
||||
};
|
||||
@@ -103,9 +102,9 @@ const Clients = () => {
|
||||
|
||||
const allClientsData = useMemo(() => {
|
||||
const normalizedSearch = searchTerm.trim().toLowerCase();
|
||||
const rfmByCustomerKey = new Map((rfmAnalytics?.clients || []).map(client => [client.customerKey, client]));
|
||||
const rfmByPhone = new Map((rfmAnalytics?.clients || []).map(client => [client.phone, client]));
|
||||
const clients = clientAnalytics.map((client): ClientSummary => {
|
||||
const rfmClient = rfmByCustomerKey.get(client.customerKey);
|
||||
const rfmClient = client.phone ? rfmByPhone.get(client.phone) : undefined;
|
||||
return {
|
||||
name: client.name,
|
||||
phone: client.phone,
|
||||
|
||||
@@ -292,7 +292,7 @@ const Rfm = () => {
|
||||
<div className="bg-dark-card p-6 rounded-2xl border border-dark-border shadow-sm">
|
||||
<p className="text-dark-muted text-sm font-medium mb-1">Clientes no Período</p>
|
||||
<h3 className="text-3xl font-bold text-dark-text">{clients.length}</h3>
|
||||
<p className="mt-1 text-xs font-semibold text-dark-muted">Segmento RFV calculado até o fim do período</p>
|
||||
<p className="mt-1 text-xs font-semibold text-dark-muted">Agrupados pela tag RFV anterior</p>
|
||||
</div>
|
||||
<div className="bg-dark-card p-6 rounded-2xl border border-dark-border shadow-sm">
|
||||
<p className="text-dark-muted text-sm font-medium mb-1">Receita no Período</p>
|
||||
@@ -312,7 +312,7 @@ const Rfm = () => {
|
||||
<div className="mb-4 flex flex-col gap-3 lg:flex-row lg:items-end lg:justify-between">
|
||||
<div>
|
||||
<h2 className="text-lg font-bold text-dark-text">Matriz RFV</h2>
|
||||
<p className="text-sm font-medium text-dark-muted">Compradores do período agrupados pelo RFV histórico até a data final.</p>
|
||||
<p className="text-sm font-medium text-dark-muted">Compradores do período agrupados pela tag RFV anterior ao período.</p>
|
||||
</div>
|
||||
<div className="flex items-center gap-2 text-xs font-semibold text-dark-muted">
|
||||
<span>Menor prioridade</span>
|
||||
|
||||
@@ -64,7 +64,6 @@ export interface DashboardAnalytics {
|
||||
}
|
||||
|
||||
export interface ClientAnalyticsItem {
|
||||
customerKey: string;
|
||||
name: string;
|
||||
phone: string;
|
||||
quantityPurchased: number;
|
||||
@@ -74,7 +73,6 @@ export interface ClientAnalyticsItem {
|
||||
}
|
||||
|
||||
export interface RfmClient {
|
||||
customerKey: string;
|
||||
name: string;
|
||||
phone: string;
|
||||
monetary: number;
|
||||
|
||||
Reference in New Issue
Block a user