feat: add categories at daily report

This commit is contained in:
efrilm 2025-08-14 02:07:55 +07:00
parent a13597725b
commit 7a8bd59bb4
3 changed files with 173 additions and 67 deletions

View File

@ -4,7 +4,8 @@ import {
useProductSalesAnalytics,
useProfitLossAnalytics,
useSalesAnalytics,
usePaymentAnalytics
usePaymentAnalytics,
useCategoryAnalytics
} from '@/services/queries/analytics'
import { useOutletById } from '@/services/queries/outlets'
import { formatCurrency, formatDate, formatDateDDMMYYYY, formatDatetime } from '@/utils/transform'
@ -45,6 +46,7 @@ const DailyPOSReport = () => {
const { data: profitLoss } = useProfitLossAnalytics(dateParams)
const { data: products } = useProductSalesAnalytics(dateParams)
const { data: paymentAnalytics } = usePaymentAnalytics(dateParams)
const { data: category } = useCategoryAnalytics(dateParams)
const productSummary = {
totalQuantitySold: products?.data?.reduce((sum, item) => sum + (item?.quantity_sold || 0), 0) || 0,
@ -60,6 +62,13 @@ const DailyPOSReport = () => {
totalQuantity: profitLoss?.product_data?.reduce((sum, item) => sum + (item?.quantity_sold || 0), 0) || 0
}
const categorySummary = {
totalRevenue: category?.data?.reduce((sum, item) => sum + (item?.total_revenue || 0), 0) || 0,
orderCount: category?.data?.reduce((sum, item) => sum + (item?.order_count || 0), 0) || 0,
productCount: category?.data?.reduce((sum, item) => sum + (item?.product_count || 0), 0) || 0,
totalQuantity: category?.data?.reduce((sum, item) => sum + (item?.total_quantity || 0), 0) || 0
}
useEffect(() => {
setNow(new Date())
}, [])
@ -199,13 +208,13 @@ const DailyPOSReport = () => {
{/* Performance Summary */}
<div className='p-8'>
<h3 className='text-xl font-bold mb-6' style={{ color: '#36175e' }}>
1. Ringkasan Kinerja
1. Ringkasan
</h3>
<div className='grid grid-cols-2 gap-6'>
<div className='space-y-4'>
<div className='flex justify-between items-center py-2 border-b border-gray-200'>
<span className='text-gray-700'>TOTAL PENJUALAN (termasuk rasik)</span>
<span className='text-gray-700'>Total Penjualan (termasuk rasik)</span>
<span className='font-semibold text-gray-800'>
{formatCurrency(profitLoss?.summary.total_revenue ?? 0)}
</span>
@ -359,7 +368,50 @@ const DailyPOSReport = () => {
<td className='p-3 text-right font-bold'>
{formatCurrency(paymentAnalytics?.summary.total_amount ?? 0)}
</td>
<td className='p-3 text-center font-bold'>100.0%</td>
<td className='p-3 text-center font-bold'></td>
</tr>
</tfoot>
</table>
</div>
</div>
{/* Category Summary */}
<div className='px-8 pb-8'>
<h3 className='text-xl font-bold mb-6' style={{ color: '#36175e' }}>
2. Ringkasan Kategori
</h3>
<div className='bg-gray-50 rounded-lg border border-gray-200 overflow-hidden'>
<table className='w-full'>
<thead>
<tr style={{ backgroundColor: '#36175e' }} className='text-white'>
<th className='text-left p-3 font-semibold'>Nama</th>
<th className='text-center p-3 font-semibold'>Total Produk</th>
<th className='text-center p-3 font-semibold'>Qty</th>
<th className='text-right p-3 font-semibold'>Jumlah Order</th>
<th className='text-center p-3 font-semibold'>Pendapatan</th>
</tr>
</thead>
<tbody>
{category?.data?.map((c, index) => (
<tr key={index} className={index % 2 === 0 ? 'bg-white' : 'bg-gray-50'}>
<td className='p-3 font-medium text-gray-800'>{c.category_name}</td>
<td className='p-3 text-center text-gray-700'>{c.product_count}</td>
<td className='p-3 text-center text-gray-700'>{c.total_quantity}</td>
<td className='p-3 text-center text-gray-700'>{c.order_count}</td>
<td className='p-3 text-right font-semibold' style={{ color: '#36175e' }}>
{formatCurrency(c.total_revenue)}
</td>
</tr>
)) || []}
</tbody>
<tfoot>
<tr style={{ backgroundColor: '#36175e' }} className='text-white'>
<td className='p-3 font-bold'>TOTAL</td>
<td className='p-3 text-center font-bold'>{categorySummary?.productCount ?? 0}</td>
<td className='p-3 text-center font-bold'>{categorySummary?.totalQuantity ?? 0}</td>
<td className='p-3 text-center font-bold'>{categorySummary?.orderCount ?? 0}</td>
<td className='p-3 text-right font-bold'>{formatCurrency(categorySummary?.totalRevenue ?? 0)}</td>
</tr>
</tfoot>
</table>
@ -369,7 +421,7 @@ const DailyPOSReport = () => {
{/* Transaction Summary */}
<div className='px-8 pb-8'>
<h3 className='text-xl font-bold mb-6' style={{ color: '#36175e' }}>
3. Ringkasan Transaksi
4. Ringkasan Item
</h3>
<div className='bg-gray-50 rounded-lg border border-gray-200 overflow-hidden'>

View File

@ -1,5 +1,12 @@
import { useQuery } from '@tanstack/react-query'
import { DashboardReport, PaymentReport, ProductSalesReport, ProfitLossReport, SalesReport } from '../../types/services/analytic'
import {
CategoryReport,
DashboardReport,
PaymentReport,
ProductSalesReport,
ProfitLossReport,
SalesReport
} from '../../types/services/analytic'
import { api } from '../api'
import { formatDateDDMMYYYY } from '../../utils/transform'
@ -157,3 +164,33 @@ export function useProfitLossAnalytics(params: AnalyticQueryParams = {}) {
}
})
}
export function useCategoryAnalytics(params: AnalyticQueryParams = {}) {
const today = new Date()
const monthAgo = new Date()
monthAgo.setDate(today.getDate() - 30)
const defaultDateTo = formatDateDDMMYYYY(today)
const defaultDateFrom = formatDateDDMMYYYY(monthAgo)
const { date_from = defaultDateFrom, date_to = defaultDateTo, ...filters } = params
return useQuery<CategoryReport>({
queryKey: ['analytics-categories', { date_from, date_to, ...filters }],
queryFn: async () => {
const queryParams = new URLSearchParams()
queryParams.append('date_from', date_from)
queryParams.append('date_to', date_to)
Object.entries(filters).forEach(([key, value]) => {
if (value !== undefined && value !== null && value !== '') {
queryParams.append(key, value.toString())
}
})
const res = await api.get(`/analytics/categories?${queryParams.toString()}`)
return res.data.data
}
})
}

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@ -1,31 +1,31 @@
export interface SalesSummary {
total_sales: number;
total_orders: number;
total_items: number;
average_order_value: number;
total_tax: number;
total_discount: number;
net_sales: number;
total_sales: number
total_orders: number
total_items: number
average_order_value: number
total_tax: number
total_discount: number
net_sales: number
}
export interface SalesDataItem {
date: string; // ISO string, e.g., "2025-08-03T00:00:00Z"
sales: number;
orders: number;
items: number;
tax: number;
discount: number;
net_sales: number;
date: string // ISO string, e.g., "2025-08-03T00:00:00Z"
sales: number
orders: number
items: number
tax: number
discount: number
net_sales: number
}
export interface SalesReport {
organization_id: string;
outlet_id: string;
date_from: string; // ISO string with timezone, e.g., "2025-08-01T00:00:00+07:00"
date_to: string; // ISO string with timezone
group_by: string; // e.g., "day", "month", etc.
summary: SalesSummary;
data: SalesDataItem[];
organization_id: string
outlet_id: string
date_from: string // ISO string with timezone, e.g., "2025-08-01T00:00:00+07:00"
date_to: string // ISO string with timezone
group_by: string // e.g., "day", "month", etc.
summary: SalesSummary
data: SalesDataItem[]
}
export interface ProductData {
@ -105,53 +105,70 @@ export type DashboardReport = {
}
export interface ProfitLossReport {
organization_id: string;
date_from: string; // ISO date string with timezone
date_to: string; // ISO date string with timezone
group_by: string;
summary: Summary;
data: DailyData[];
product_data: ProductDataReport[];
organization_id: string
date_from: string // ISO date string with timezone
date_to: string // ISO date string with timezone
group_by: string
summary: Summary
data: DailyData[]
product_data: ProductDataReport[]
}
export interface Summary {
total_revenue: number;
total_cost: number;
gross_profit: number;
gross_profit_margin: number;
total_tax: number;
total_discount: number;
net_profit: number;
net_profit_margin: number;
total_orders: number;
average_profit: number;
profitability_ratio: number;
total_revenue: number
total_cost: number
gross_profit: number
gross_profit_margin: number
total_tax: number
total_discount: number
net_profit: number
net_profit_margin: number
total_orders: number
average_profit: number
profitability_ratio: number
}
export interface DailyData {
date: string; // ISO date string with timezone
revenue: number;
cost: number;
gross_profit: number;
gross_profit_margin: number;
tax: number;
discount: number;
net_profit: number;
net_profit_margin: number;
orders: number;
date: string // ISO date string with timezone
revenue: number
cost: number
gross_profit: number
gross_profit_margin: number
tax: number
discount: number
net_profit: number
net_profit_margin: number
orders: number
}
export interface ProductDataReport {
product_id: string;
product_name: string;
category_id: string;
category_name: string;
quantity_sold: number;
revenue: number;
cost: number;
gross_profit: number;
gross_profit_margin: number;
average_price: number;
average_cost: number;
profit_per_unit: number;
product_id: string
product_name: string
category_id: string
category_name: string
quantity_sold: number
revenue: number
cost: number
gross_profit: number
gross_profit_margin: number
average_price: number
average_cost: number
profit_per_unit: number
}
export interface CategoryReport {
organization_id: string
outlet_id: string
date_from: string
date_to: string
data: CategoryDataReport[]
}
export interface CategoryDataReport {
category_id: string
category_name: string
total_revenue: number
total_quantity: number
product_count: number
order_count: number
}