Optimize RFV all-period scoring
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This commit is contained in:
Cauê Faleiros
2026-06-17 15:50:27 -03:00
parent 7764933fd9
commit 2445272f3a
2 changed files with 107 additions and 39 deletions

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@@ -197,7 +197,7 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
const mockClient = {
query: async (sql, params = []) => {
calls.push({ sql, params });
const isHistoryQuery = sql.includes('recency_days');
const isHistoryQuery = sql.includes('= ANY');
const isPeriodQuery = sql.includes('FROM orders');
const referenceDate = params[0];
@@ -261,7 +261,8 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
monetary: 100,
frequency: 1,
quantity_purchased: 1,
last_purchase_date: '2026-06-14'
last_purchase_date: '2026-06-14',
recency_days: 1
},
{
customer_key: '4',
@@ -270,7 +271,8 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
monetary: 25,
frequency: 1,
quantity_purchased: 1,
last_purchase_date: '2026-06-14'
last_purchase_date: '2026-06-14',
recency_days: 1
},
{
customer_key: 'name:Cliente Sem Fone',
@@ -279,7 +281,8 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
monetary: 30,
frequency: 1,
quantity_purchased: 1,
last_purchase_date: '2026-06-14'
last_purchase_date: '2026-06-14',
recency_days: 1
}
]
};
@@ -321,3 +324,59 @@ test('getRfmAnalytics classifies period buyers by history through the selected r
pool.connect = originalConnect;
}
});
test('getRfmAnalytics reuses period rows as RFV history for all-period ranges', async () => {
const originalConnect = pool.connect;
const calls = [];
const mockClient = {
query: async (sql, params = []) => {
calls.push({ sql, params });
if (!sql.includes('FROM orders')) {
return { rows: [] };
}
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: 'name:Cliente Sem Fone',
name: 'Cliente Sem Fone',
phone: null,
monetary: 50,
frequency: 1,
quantity_purchased: 1,
last_purchase_date: '2026-01-01',
recency_days: 165
}
]
};
},
release: () => {}
};
pool.connect = async () => mockClient;
try {
const result = await getRfmAnalytics({ start: '2000-01-01', end: '2026-06-15' });
const selectCalls = calls.filter(call => call.sql.includes('FROM orders'));
assert.equal(selectCalls.length, 1);
assert.match(selectCalls[0].sql, /\(\$2::date - MAX\(data_pedido_date\)\)::int/);
assert.doesNotMatch(selectCalls[0].sql, /= ANY/);
assert.deepEqual(selectCalls[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);
assert.ok(result.clients.some(client => client.customerKey === 'name:Cliente Sem Fone' && client.phone === ''));
} finally {
pool.connect = originalConnect;
}
});