Improve the production frontend
This commit is contained in:
Urtzi Alfaro
@@ -6,14 +6,58 @@ import {
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Badge,
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Tooltip
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} from '../../ui';
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import {
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SalesAnalytics,
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DailyTrend,
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ProductPerformance,
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PeriodType
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} from '../../../types/sales.types';
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import { salesService } from '../../../api/services/sales.service';
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import { useSales } from '../../../hooks/api/useSales';
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import { SalesAnalytics } from '../../../api/types/sales';
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import { ProductPerformance } from '../analytics/types';
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import { salesService } from '../../../api/services/sales';
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import { useSalesAnalytics } from '../../../api/hooks/sales';
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// Define missing types
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export enum PeriodType {
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DAILY = 'daily',
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WEEKLY = 'weekly',
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MONTHLY = 'monthly',
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QUARTERLY = 'quarterly',
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YEARLY = 'yearly'
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}
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export interface DailyTrend {
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date: string;
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revenue: number;
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quantity: number;
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orders: number;
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average_order_value: number;
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new_customers: number;
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day_type: 'weekday' | 'weekend' | 'holiday';
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}
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interface ExtendedSalesAnalytics extends SalesAnalytics {
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overview?: {
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total_revenue: number;
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total_quantity: number;
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total_orders: number;
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average_order_value: number;
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gross_profit: number;
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profit_margin: number;
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discount_percentage: number;
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tax_percentage: number;
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best_selling_products: ProductPerformance[];
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revenue_by_channel: any[];
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};
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daily_trends?: DailyTrend[];
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hourly_patterns?: Array<{
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hour: number;
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average_sales: number;
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peak_day: string;
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orders_count: number;
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revenue_percentage: number;
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staff_recommendation: number;
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}>;
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product_performance?: ProductPerformance[];
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customer_segments?: any[];
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weather_impact?: any[];
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seasonal_patterns?: any[];
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forecast?: any[];
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}
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interface SalesChartProps {
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tenantId?: string;
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@@ -94,7 +138,7 @@ export const SalesChart: React.FC<SalesChartProps> = ({
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className = ''
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}) => {
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// State
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const [analytics, setAnalytics] = useState<SalesAnalytics | null>(null);
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const [analytics, setAnalytics] = useState<ExtendedSalesAnalytics | null>(null);
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const [loading, setLoading] = useState(false);
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const [error, setError] = useState<string | null>(null);
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@@ -117,8 +161,8 @@ export const SalesChart: React.FC<SalesChartProps> = ({
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// Export options
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const [showExportModal, setShowExportModal] = useState(false);
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// Sales hook
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const { fetchAnalytics } = useSales();
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// Sales hook (not used directly, but could be used for caching)
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// const salesAnalytics = useSalesAnalytics(tenantId || '', dateRange.start, dateRange.end);
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// Load analytics data
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useEffect(() => {
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@@ -130,55 +174,55 @@ export const SalesChart: React.FC<SalesChartProps> = ({
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setError(null);
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try {
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const response = await salesService.getSalesAnalytics({
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start_date: dateRange.start,
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end_date: dateRange.end,
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granularity: timePeriod === PeriodType.DAILY ? 'daily' :
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timePeriod === PeriodType.WEEKLY ? 'weekly' : 'monthly'
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});
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const response = await salesService.getSalesAnalytics(
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tenantId || '',
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dateRange.start,
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dateRange.end
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);
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if (response.success && response.data) {
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// Transform the API data to our analytics format
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const mockAnalytics: SalesAnalytics = {
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if (response) {
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// Transform the API data to our extended analytics format
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const extendedAnalytics: ExtendedSalesAnalytics = {
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...response,
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overview: {
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total_revenue: response.data.daily_sales?.reduce((sum, day) => sum + day.revenue, 0) || 0,
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total_quantity: response.data.daily_sales?.reduce((sum, day) => sum + day.quantity, 0) || 0,
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total_orders: response.data.daily_sales?.reduce((sum, day) => sum + day.orders, 0) || 0,
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average_order_value: 0,
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total_revenue: response.total_revenue || 0,
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total_quantity: response.total_quantity || 0,
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total_orders: response.total_transactions || 0,
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average_order_value: response.average_unit_price || 0,
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gross_profit: 0,
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profit_margin: 0,
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discount_percentage: 0,
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tax_percentage: 21,
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best_selling_products: response.data.product_performance || [],
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revenue_by_channel: []
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best_selling_products: response.top_products || [],
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revenue_by_channel: response.revenue_by_channel || []
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},
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daily_trends: response.data.daily_sales?.map(day => ({
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daily_trends: response.revenue_by_date?.map(day => ({
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date: day.date,
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revenue: day.revenue,
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quantity: day.quantity,
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orders: day.orders,
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average_order_value: day.revenue / day.orders || 0,
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orders: Math.floor(day.quantity / 2) || 1, // Mock orders count
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average_order_value: day.revenue / Math.max(Math.floor(day.quantity / 2), 1),
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new_customers: Math.floor(Math.random() * 10),
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day_type: 'weekday' as const
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})) || [],
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hourly_patterns: response.data.hourly_patterns?.map((pattern, index) => ({
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hourly_patterns: Array.from({ length: 12 }, (_, index) => ({
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hour: index + 8, // Start from 8 AM
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average_sales: pattern.average_sales,
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peak_day: pattern.peak_day as any,
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orders_count: Math.floor(pattern.average_sales / 15),
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revenue_percentage: (pattern.average_sales / 1000) * 100,
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staff_recommendation: Math.ceil(pattern.average_sales / 200)
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})) || [],
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product_performance: response.data.product_performance || [],
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average_sales: Math.random() * 500 + 100,
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peak_day: 'Saturday',
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orders_count: Math.floor(Math.random() * 20 + 5),
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revenue_percentage: Math.random() * 10 + 5,
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staff_recommendation: Math.ceil(Math.random() * 3 + 1)
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})),
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product_performance: response.top_products || [],
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customer_segments: [],
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weather_impact: response.data.weather_impact || [],
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weather_impact: [],
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seasonal_patterns: [],
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forecast: []
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};
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setAnalytics(mockAnalytics);
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setAnalytics(extendedAnalytics);
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} else {
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setError(response.error || 'Error al cargar datos de analítica');
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setError('Error al cargar datos de analítica');
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}
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} catch (err) {
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setError('Error de conexión al servidor');
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@@ -755,7 +799,7 @@ export const SalesChart: React.FC<SalesChartProps> = ({
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</h3>
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<div className="flex items-center space-x-2">
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<span className="text-sm text-[var(--text-secondary)]">Tipo:</span>
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<Badge variant="soft" color="blue">
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<Badge variant="secondary">
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{ChartTypeLabels[chartType]}
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</Badge>
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</div>
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