feat: add categories at daily report
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@ -4,7 +4,8 @@ import {
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useProductSalesAnalytics,
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useProfitLossAnalytics,
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useSalesAnalytics,
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usePaymentAnalytics
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usePaymentAnalytics,
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useCategoryAnalytics
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} from '@/services/queries/analytics'
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import { useOutletById } from '@/services/queries/outlets'
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import { formatCurrency, formatDate, formatDateDDMMYYYY, formatDatetime } from '@/utils/transform'
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@ -45,6 +46,7 @@ const DailyPOSReport = () => {
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const { data: profitLoss } = useProfitLossAnalytics(dateParams)
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const { data: products } = useProductSalesAnalytics(dateParams)
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const { data: paymentAnalytics } = usePaymentAnalytics(dateParams)
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const { data: category } = useCategoryAnalytics(dateParams)
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const productSummary = {
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totalQuantitySold: products?.data?.reduce((sum, item) => sum + (item?.quantity_sold || 0), 0) || 0,
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@ -60,6 +62,13 @@ const DailyPOSReport = () => {
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totalQuantity: profitLoss?.product_data?.reduce((sum, item) => sum + (item?.quantity_sold || 0), 0) || 0
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}
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const categorySummary = {
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totalRevenue: category?.data?.reduce((sum, item) => sum + (item?.total_revenue || 0), 0) || 0,
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orderCount: category?.data?.reduce((sum, item) => sum + (item?.order_count || 0), 0) || 0,
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productCount: category?.data?.reduce((sum, item) => sum + (item?.product_count || 0), 0) || 0,
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totalQuantity: category?.data?.reduce((sum, item) => sum + (item?.total_quantity || 0), 0) || 0
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}
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useEffect(() => {
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setNow(new Date())
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}, [])
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@ -199,13 +208,13 @@ const DailyPOSReport = () => {
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{/* Performance Summary */}
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<div className='p-8'>
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<h3 className='text-xl font-bold mb-6' style={{ color: '#36175e' }}>
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1. Ringkasan Kinerja
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1. Ringkasan
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</h3>
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<div className='grid grid-cols-2 gap-6'>
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<div className='space-y-4'>
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<div className='flex justify-between items-center py-2 border-b border-gray-200'>
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<span className='text-gray-700'>TOTAL PENJUALAN (termasuk rasik)</span>
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<span className='text-gray-700'>Total Penjualan (termasuk rasik)</span>
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<span className='font-semibold text-gray-800'>
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{formatCurrency(profitLoss?.summary.total_revenue ?? 0)}
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</span>
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@ -359,7 +368,50 @@ const DailyPOSReport = () => {
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<td className='p-3 text-right font-bold'>
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{formatCurrency(paymentAnalytics?.summary.total_amount ?? 0)}
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</td>
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<td className='p-3 text-center font-bold'>100.0%</td>
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<td className='p-3 text-center font-bold'></td>
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</tr>
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</tfoot>
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</table>
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</div>
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</div>
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{/* Category Summary */}
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<div className='px-8 pb-8'>
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<h3 className='text-xl font-bold mb-6' style={{ color: '#36175e' }}>
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2. Ringkasan Kategori
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</h3>
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<div className='bg-gray-50 rounded-lg border border-gray-200 overflow-hidden'>
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<table className='w-full'>
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<thead>
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<tr style={{ backgroundColor: '#36175e' }} className='text-white'>
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<th className='text-left p-3 font-semibold'>Nama</th>
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<th className='text-center p-3 font-semibold'>Total Produk</th>
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<th className='text-center p-3 font-semibold'>Qty</th>
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<th className='text-right p-3 font-semibold'>Jumlah Order</th>
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<th className='text-center p-3 font-semibold'>Pendapatan</th>
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</tr>
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</thead>
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<tbody>
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{category?.data?.map((c, index) => (
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<tr key={index} className={index % 2 === 0 ? 'bg-white' : 'bg-gray-50'}>
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<td className='p-3 font-medium text-gray-800'>{c.category_name}</td>
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<td className='p-3 text-center text-gray-700'>{c.product_count}</td>
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<td className='p-3 text-center text-gray-700'>{c.total_quantity}</td>
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<td className='p-3 text-center text-gray-700'>{c.order_count}</td>
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<td className='p-3 text-right font-semibold' style={{ color: '#36175e' }}>
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{formatCurrency(c.total_revenue)}
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</td>
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</tr>
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)) || []}
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</tbody>
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<tfoot>
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<tr style={{ backgroundColor: '#36175e' }} className='text-white'>
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<td className='p-3 font-bold'>TOTAL</td>
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<td className='p-3 text-center font-bold'>{categorySummary?.productCount ?? 0}</td>
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<td className='p-3 text-center font-bold'>{categorySummary?.totalQuantity ?? 0}</td>
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<td className='p-3 text-center font-bold'>{categorySummary?.orderCount ?? 0}</td>
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<td className='p-3 text-right font-bold'>{formatCurrency(categorySummary?.totalRevenue ?? 0)}</td>
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</tr>
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</tfoot>
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</table>
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@ -369,7 +421,7 @@ const DailyPOSReport = () => {
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{/* Transaction Summary */}
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<div className='px-8 pb-8'>
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<h3 className='text-xl font-bold mb-6' style={{ color: '#36175e' }}>
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3. Ringkasan Transaksi
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4. Ringkasan Item
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</h3>
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<div className='bg-gray-50 rounded-lg border border-gray-200 overflow-hidden'>
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@ -1,5 +1,12 @@
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import { useQuery } from '@tanstack/react-query'
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import { DashboardReport, PaymentReport, ProductSalesReport, ProfitLossReport, SalesReport } from '../../types/services/analytic'
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import {
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CategoryReport,
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DashboardReport,
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PaymentReport,
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ProductSalesReport,
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ProfitLossReport,
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SalesReport
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} from '../../types/services/analytic'
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import { api } from '../api'
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import { formatDateDDMMYYYY } from '../../utils/transform'
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@ -157,3 +164,33 @@ export function useProfitLossAnalytics(params: AnalyticQueryParams = {}) {
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}
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})
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}
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export function useCategoryAnalytics(params: AnalyticQueryParams = {}) {
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const today = new Date()
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const monthAgo = new Date()
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monthAgo.setDate(today.getDate() - 30)
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const defaultDateTo = formatDateDDMMYYYY(today)
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const defaultDateFrom = formatDateDDMMYYYY(monthAgo)
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const { date_from = defaultDateFrom, date_to = defaultDateTo, ...filters } = params
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return useQuery<CategoryReport>({
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queryKey: ['analytics-categories', { date_from, date_to, ...filters }],
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queryFn: async () => {
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const queryParams = new URLSearchParams()
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queryParams.append('date_from', date_from)
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queryParams.append('date_to', date_to)
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Object.entries(filters).forEach(([key, value]) => {
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if (value !== undefined && value !== null && value !== '') {
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queryParams.append(key, value.toString())
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}
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})
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const res = await api.get(`/analytics/categories?${queryParams.toString()}`)
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return res.data.data
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}
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})
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}
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@ -1,31 +1,31 @@
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export interface SalesSummary {
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total_sales: number;
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total_orders: number;
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total_items: number;
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average_order_value: number;
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total_tax: number;
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total_discount: number;
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net_sales: number;
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total_sales: number
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total_orders: number
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total_items: number
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average_order_value: number
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total_tax: number
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total_discount: number
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net_sales: number
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}
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export interface SalesDataItem {
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date: string; // ISO string, e.g., "2025-08-03T00:00:00Z"
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sales: number;
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orders: number;
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items: number;
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tax: number;
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discount: number;
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net_sales: number;
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date: string // ISO string, e.g., "2025-08-03T00:00:00Z"
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sales: number
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orders: number
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items: number
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tax: number
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discount: number
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net_sales: number
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}
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export interface SalesReport {
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organization_id: string;
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outlet_id: string;
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date_from: string; // ISO string with timezone, e.g., "2025-08-01T00:00:00+07:00"
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date_to: string; // ISO string with timezone
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group_by: string; // e.g., "day", "month", etc.
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summary: SalesSummary;
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data: SalesDataItem[];
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organization_id: string
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outlet_id: string
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date_from: string // ISO string with timezone, e.g., "2025-08-01T00:00:00+07:00"
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date_to: string // ISO string with timezone
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group_by: string // e.g., "day", "month", etc.
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summary: SalesSummary
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data: SalesDataItem[]
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}
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export interface ProductData {
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@ -105,53 +105,70 @@ export type DashboardReport = {
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}
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export interface ProfitLossReport {
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organization_id: string;
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date_from: string; // ISO date string with timezone
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date_to: string; // ISO date string with timezone
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group_by: string;
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summary: Summary;
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data: DailyData[];
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product_data: ProductDataReport[];
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organization_id: string
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date_from: string // ISO date string with timezone
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date_to: string // ISO date string with timezone
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group_by: string
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summary: Summary
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data: DailyData[]
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product_data: ProductDataReport[]
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}
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export interface Summary {
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total_revenue: number;
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total_cost: number;
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gross_profit: number;
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gross_profit_margin: number;
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total_tax: number;
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total_discount: number;
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net_profit: number;
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net_profit_margin: number;
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total_orders: number;
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average_profit: number;
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profitability_ratio: number;
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total_revenue: number
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total_cost: number
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gross_profit: number
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gross_profit_margin: number
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total_tax: number
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total_discount: number
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net_profit: number
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net_profit_margin: number
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total_orders: number
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average_profit: number
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profitability_ratio: number
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}
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export interface DailyData {
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date: string; // ISO date string with timezone
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revenue: number;
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cost: number;
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gross_profit: number;
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gross_profit_margin: number;
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tax: number;
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discount: number;
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net_profit: number;
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net_profit_margin: number;
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orders: number;
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date: string // ISO date string with timezone
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revenue: number
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cost: number
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gross_profit: number
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gross_profit_margin: number
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tax: number
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discount: number
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net_profit: number
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net_profit_margin: number
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orders: number
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}
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export interface ProductDataReport {
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product_id: string;
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product_name: string;
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category_id: string;
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category_name: string;
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quantity_sold: number;
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revenue: number;
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cost: number;
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gross_profit: number;
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gross_profit_margin: number;
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average_price: number;
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average_cost: number;
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profit_per_unit: number;
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product_id: string
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product_name: string
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category_id: string
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category_name: string
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quantity_sold: number
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revenue: number
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cost: number
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gross_profit: number
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gross_profit_margin: number
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average_price: number
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average_cost: number
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profit_per_unit: number
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}
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export interface CategoryReport {
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organization_id: string
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outlet_id: string
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date_from: string
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date_to: string
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data: CategoryDataReport[]
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}
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export interface CategoryDataReport {
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category_id: string
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category_name: string
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total_revenue: number
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total_quantity: number
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product_count: number
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order_count: number
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}
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