Emanuel Almeida
12e1552d02
- New /financial page with sales/expenses cards, monthly bar chart and expense distribution pie chart (Recharts) - New API endpoint GET /api/financial with queries on tblinvoices and tblexpenses - Compact services grid (2-col dots layout) in Monitor page - Add Syncthing to critical services monitoring - Add Financeiro nav link to Dashboard, Monitor and Financial headers Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
114 lines
3.5 KiB
TypeScript
114 lines
3.5 KiB
TypeScript
/**
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* Financial Queries Service
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* @author Descomplicar® | @link descomplicar.pt | @copyright 2026
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*/
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import db from '../db.js'
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import type { RowDataPacket } from 'mysql2'
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export async function getFinancialData() {
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const [
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[vendasMes],
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[vendasAno],
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[despesasMes],
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[despesasAno],
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categorias,
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evolucaoReceitas,
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evolucaoDespesas,
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] = await Promise.all([
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// Vendas mes actual (facturas nao-draft, nao-canceladas)
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db.query<RowDataPacket[]>(`
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SELECT COALESCE(SUM(total), 0) as valor
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FROM tblinvoices
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WHERE YEAR(date) = YEAR(CURDATE()) AND MONTH(date) = MONTH(CURDATE())
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AND status NOT IN (1, 5)
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`),
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// Vendas acumuladas ano
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db.query<RowDataPacket[]>(`
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SELECT COALESCE(SUM(total), 0) as valor
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FROM tblinvoices
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WHERE YEAR(date) = YEAR(CURDATE()) AND status NOT IN (1, 5)
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`),
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// Despesas mes actual
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db.query<RowDataPacket[]>(`
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SELECT COALESCE(SUM(amount), 0) as valor
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FROM tblexpenses
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WHERE YEAR(date) = YEAR(CURDATE()) AND MONTH(date) = MONTH(CURDATE())
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`),
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// Despesas acumuladas ano
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db.query<RowDataPacket[]>(`
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SELECT COALESCE(SUM(amount), 0) as valor
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FROM tblexpenses
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WHERE YEAR(date) = YEAR(CURDATE())
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`),
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// Distribuicao por categoria
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db.query<RowDataPacket[]>(`
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SELECT ec.name as categoria, ROUND(SUM(e.amount), 2) as total
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FROM tblexpenses e
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LEFT JOIN tblexpenses_categories ec ON e.category = ec.id
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WHERE YEAR(e.date) = YEAR(CURDATE())
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GROUP BY e.category, ec.name
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ORDER BY total DESC
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`),
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// Evolucao mensal receitas (ultimos 12 meses)
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db.query<RowDataPacket[]>(`
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SELECT DATE_FORMAT(date, '%Y-%m') as mes, ROUND(SUM(total), 2) as valor
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FROM tblinvoices
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WHERE status NOT IN (1, 5) AND date >= DATE_SUB(CURDATE(), INTERVAL 12 MONTH)
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GROUP BY mes ORDER BY mes
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`),
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// Evolucao mensal despesas (ultimos 12 meses)
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db.query<RowDataPacket[]>(`
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SELECT DATE_FORMAT(date, '%Y-%m') as mes, ROUND(SUM(amount), 2) as valor
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FROM tblexpenses
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WHERE date >= DATE_SUB(CURDATE(), INTERVAL 12 MONTH)
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GROUP BY mes ORDER BY mes
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`),
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])
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const vendas_mes = Math.round((vendasMes[0]?.valor || 0) * 100) / 100
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const vendas_ano = Math.round((vendasAno[0]?.valor || 0) * 100) / 100
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const despesas_mes = Math.round((despesasMes[0]?.valor || 0) * 100) / 100
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const despesas_ano = Math.round((despesasAno[0]?.valor || 0) * 100) / 100
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const lucro_mes = Math.round((vendas_mes - despesas_mes) * 100) / 100
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const lucro_ano = Math.round((vendas_ano - despesas_ano) * 100) / 100
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// Build monthly evolution map
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const mesesMap = new Map<string, { receita: number; despesa: number }>()
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for (const r of evolucaoReceitas[0] as RowDataPacket[]) {
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mesesMap.set(r.mes, { receita: r.valor, despesa: 0 })
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}
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for (const d of evolucaoDespesas[0] as RowDataPacket[]) {
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const existing = mesesMap.get(d.mes) || { receita: 0, despesa: 0 }
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existing.despesa = d.valor
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mesesMap.set(d.mes, existing)
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}
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const evolucao = Array.from(mesesMap.entries())
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.sort(([a], [b]) => a.localeCompare(b))
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.map(([mes, vals]) => ({
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mes,
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receita: vals.receita,
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despesa: vals.despesa,
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}))
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return {
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vendas_mes,
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vendas_ano,
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despesas_mes,
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despesas_ano,
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lucro_mes,
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lucro_ano,
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categorias: (categorias[0] as RowDataPacket[]).map(c => ({
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name: c.categoria || 'Sem categoria',
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value: c.total,
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})),
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evolucao,
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}
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}
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