mirror of
https://github.com/christianvidalwolf-prog/CrazeAnalytix.git
synced 2026-08-03 14:15:23 +02:00
Refactor: Switched all exports to .xlsx and enhanced Weekly Grid export
This commit is contained in:
@@ -3,7 +3,7 @@ import {
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LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer
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LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer
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} from 'recharts';
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} from 'recharts';
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import { SalesRecord, PivotRow, AdsRecord, CombinedKPIs } from '../types';
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import { SalesRecord, PivotRow, AdsRecord, CombinedKPIs } from '../types';
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import { pivotSalesData, generateCSV, aggregateForTimeSeries, aggregateForComparisonTimeSeries, applyPanEUGrouping } from '../services/dataProcessor';
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import { pivotSalesData, generateXLSX, aggregateForTimeSeries, aggregateForComparisonTimeSeries, applyPanEUGrouping } from '../services/dataProcessor';
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import { DownloadIcon, FunnelIcon, CloseIcon, ChartIcon, TrendingIcon } from './Icons';
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import { DownloadIcon, FunnelIcon, CloseIcon, ChartIcon, TrendingIcon } from './Icons';
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interface DataGridProps {
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interface DataGridProps {
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@@ -551,7 +551,7 @@ const DataGrid: React.FC<DataGridProps> = ({ data, hasCustomerFilter, adsData =
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};
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};
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const handleExport = () => {
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const handleExport = () => {
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generateCSV(processedRows, effectiveDimensions, years);
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generateXLSX(processedRows, effectiveDimensions, years);
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};
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};
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const addFilter = () => {
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const addFilter = () => {
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+14
-34
@@ -1,6 +1,6 @@
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import React, { useState, useMemo, useCallback } from 'react';
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import React, { useState, useMemo } from 'react';
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import * as XLSX from 'xlsx';
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import { SalesRecord } from './types';
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import { SalesRecord } from '../types';
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import { DownloadIcon } from './Icons';
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import { DownloadIcon } from './Icons';
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interface TopMoversProps {
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interface TopMoversProps {
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@@ -34,45 +34,25 @@ const MoversTable: React.FC<{
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return val.toLocaleString('de-DE');
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return val.toLocaleString('de-DE');
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};
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};
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const handleExport = () => {
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const handleExport = useCallback(() => {
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if (!data || data.length === 0) return;
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if (!data || data.length === 0) return;
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// Helper to force Comma as thousands separator (US Locale)
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const exportData = data.map((item, index) => ({
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const formatForCSV = (val: number) => {
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return val.toLocaleString('de-DE', {
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useGrouping: true,
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minimumFractionDigits: metric === 'sellOut' ? 2 : 0,
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maximumFractionDigits: metric === 'sellOut' ? 2 : 0,
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});
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};
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// Prepare data for CSV
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const csvData = data.map((item, index) => ({
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Rank: index + 1,
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Rank: index + 1,
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Title: item.title,
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Title: item.title,
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SKU: item.sku,
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SKU: item.sku,
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'Product Line': item.line,
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'Product Line': item.line,
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[`${previousYear} ${metric === 'sellOut' ? 'Sell Out' : 'Units'}`]: formatForCSV(item.previousValue),
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[`${previousYear} ${metric === 'sellOut' ? 'Sell Out' : 'Units'}`]: item.previousValue,
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[`${currentYear} ${metric === 'sellOut' ? 'Sell Out' : 'Units'}`]: formatForCSV(item.currentValue),
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[`${currentYear} ${metric === 'sellOut' ? 'Sell Out' : 'Units'}`]: item.currentValue,
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'Difference': formatForCSV(item.diff),
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'Difference': item.diff,
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'% Change': `${item.pct.toFixed(2)}%`
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'% Change': Number(item.pct.toFixed(2))
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}));
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}));
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// Generate CSV string
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const ws = XLSX.utils.json_to_sheet(exportData);
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// @ts-ignore - Papa is loaded globally via CDN
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const wb = XLSX.utils.book_new();
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const csv = Papa.unparse(csvData);
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XLSX.utils.book_append_sheet(wb, ws, 'Top Movers');
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XLSX.writeFile(wb, `${title.replace(/\s+/g, '_')}_${currentYear}_vs_${previousYear}.xlsx`);
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// Create download link
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}, [data, title, currentYear, previousYear, metric]);
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const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
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const url = URL.createObjectURL(blob);
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const link = document.createElement('a');
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link.href = url;
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const filename = `${title.replace(/\s+/g, '_')}_${currentYear}_vs_${previousYear}.csv`;
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link.setAttribute('download', filename);
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document.body.appendChild(link);
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link.click();
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document.body.removeChild(link);
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};
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const colorClass = type === 'growth' ? 'text-emerald-400' : 'text-rose-400';
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const colorClass = type === 'growth' ? 'text-emerald-400' : 'text-rose-400';
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const bgClass = type === 'growth' ? 'bg-emerald-500/10 text-emerald-400' : 'bg-rose-500/10 text-rose-400';
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const bgClass = type === 'growth' ? 'bg-emerald-500/10 text-emerald-400' : 'bg-rose-500/10 text-rose-400';
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@@ -246,15 +246,30 @@ const WeeklyGrid: React.FC<WeeklyGridProps> = ({ data, top50Ranking, onDrillDown
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allWeeks.forEach(week => {
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allWeeks.forEach(week => {
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rowData[`${week} Units`] = row.unitsByWeek[week] || 0;
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rowData[`${week} Units`] = row.unitsByWeek[week] || 0;
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rowData[`${week} Spend`] = row.spendByWeek[week] || 0;
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rowData[`${week} Spend`] = row.spendByWeek[week] || 0;
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rowData[`${week} GV`] = row.gvByWeek[week] || 0;
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});
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});
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return rowData;
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return rowData;
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});
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});
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// Add Totals row
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const totalsRow: any = {
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SKU: 'TOTALS',
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ASIN: '',
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Title: 'ALL FILTERED PRODUCTS',
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Line: '',
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};
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allWeeks.forEach(week => {
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totalsRow[`${week} Units`] = weekTotals[week]?.units || 0;
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totalsRow[`${week} Spend`] = weekTotals[week]?.spend || 0;
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totalsRow[`${week} GV`] = weekTotals[week]?.gv || 0;
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});
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exportData.push(totalsRow);
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const ws = XLSX.utils.json_to_sheet(exportData);
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const ws = XLSX.utils.json_to_sheet(exportData);
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const wb = XLSX.utils.book_new();
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const wb = XLSX.utils.book_new();
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XLSX.utils.book_append_sheet(wb, ws, 'Weekly Sales');
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XLSX.utils.book_append_sheet(wb, ws, 'Weekly Sales');
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XLSX.writeFile(wb, `Weekly_Sales_Export_${new Date().toISOString().slice(0, 10)}.xlsx`);
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XLSX.writeFile(wb, `Weekly_Sales_Export_${new Date().toISOString().slice(0, 10)}.xlsx`);
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}, [sortedRows, allWeeks]);
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}, [sortedRows, allWeeks, weekTotals]);
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return (
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return (
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<div className="flex flex-col gap-4 animate-fade-in">
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<div className="flex flex-col gap-4 animate-fade-in">
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+21
-36
@@ -1270,18 +1270,19 @@ export const pivotSalesData = (data: any[], dimensions: string[] = ['title', 'cu
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};
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};
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};
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};
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export const generateCSV = (rows: PivotRow[], dimensions: string[], years: string[]) => {
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export const generateXLSX = (rows: PivotRow[], dimensions: string[], years: string[]) => {
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// Flatten PivotRows into CSV-friendly objects
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// Flatten PivotRows into Excel-friendly objects
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const flatData = rows.map(row => {
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const flatData = rows.map(row => {
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const flatRow: any = {};
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const flatRow: any = {};
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// Add Dimension Columns
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// Add Dimension Columns
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dimensions.forEach(dim => {
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dimensions.forEach(dim => {
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// Map internal key to nicer Header if needed
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let header = dim;
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let header = dim;
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if (dim === 'line') header = 'Product Line';
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if (dim === 'line') header = 'Product Line';
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if (dim === 'title') header = 'Title';
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if (dim === 'title') header = 'Title';
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if (dim === 'customer') header = 'Customer';
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if (dim === 'customer') header = 'Customer';
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if (dim === 'sku' || dim === 'SKU') header = 'SKU';
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if (dim === 'asin' || dim === 'ASIN') header = 'ASIN';
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flatRow[header] = row[dim as keyof PivotRow];
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flatRow[header] = row[dim as keyof PivotRow];
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});
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});
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@@ -1306,22 +1307,13 @@ export const generateCSV = (rows: PivotRow[], dimensions: string[], years: strin
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return flatRow;
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return flatRow;
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});
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});
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// Generate CSV string
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const ws = XLSX.utils.json_to_sheet(flatData);
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// @ts-ignore
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const wb = XLSX.utils.book_new();
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const csv = Papa.unparse(flatData);
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XLSX.utils.book_append_sheet(wb, ws, 'Business Data');
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XLSX.writeFile(wb, `Business_Data_Export_${new Date().toISOString().slice(0, 10)}.xlsx`);
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// Trigger Download
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const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
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const url = URL.createObjectURL(blob);
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const link = document.createElement('a');
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link.href = url;
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link.setAttribute('download', `sales_export_${new Date().toISOString().split('T')[0]}.csv`);
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document.body.appendChild(link);
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link.click();
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document.body.removeChild(link);
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};
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};
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export const generateItemMoversCSV = (
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export const generateItemMoversXLSX = (
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data: ItemGrowthMetric[],
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data: ItemGrowthMetric[],
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periods: { current: string; previous: string },
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periods: { current: string; previous: string },
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type: 'Gainers' | 'Losers'
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type: 'Gainers' | 'Losers'
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@@ -1331,27 +1323,20 @@ export const generateItemMoversCSV = (
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ASIN: item.asin || '-',
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ASIN: item.asin || '-',
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'Product Title': item.title || '-',
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'Product Title': item.title || '-',
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'Product Line': item.line || '-',
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'Product Line': item.line || '-',
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[`Sell Out ${periods.previous}`]: item.previousYearSellOut.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
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[`Sell Out ${periods.previous}`]: item.previousYearSellOut,
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[`Sell Out ${periods.current}`]: item.currentYearSellOut.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
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[`Sell Out ${periods.current}`]: item.currentYearSellOut,
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'SO Diff': item.sellOutGrowthValue.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
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'SO Diff': item.sellOutGrowthValue,
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'SO Growth %': item.sellOutGrowthPercentage.toLocaleString('de-DE', { minimumFractionDigits: 1, maximumFractionDigits: 1 }) + '%',
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'SO Growth %': Number(item.sellOutGrowthPercentage.toFixed(2)),
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[`Units ${periods.previous}`]: item.previousYearUnits.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
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[`Units ${periods.previous}`]: item.previousYearUnits,
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[`Units ${periods.current}`]: item.currentYearUnits.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
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[`Units ${periods.current}`]: item.currentYearUnits,
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'Units Diff': item.unitsGrowthValue.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
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'Units Diff': item.unitsGrowthValue,
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'Units Growth %': item.unitsGrowthPercentage.toLocaleString('de-DE', { minimumFractionDigits: 1, maximumFractionDigits: 1 }) + '%',
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'Units Growth %': Number(item.unitsGrowthPercentage.toFixed(2)),
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}));
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}));
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// @ts-ignore
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const ws = XLSX.utils.json_to_sheet(flatData);
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const csv = Papa.unparse(flatData);
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const wb = XLSX.utils.book_new();
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XLSX.utils.book_append_sheet(wb, ws, type);
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const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
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XLSX.writeFile(wb, `${type}_${periods.current}_vs_${periods.previous}_${new Date().toISOString().split('T')[0]}.xlsx`);
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const url = URL.createObjectURL(blob);
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const link = document.createElement('a');
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link.href = url;
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link.setAttribute('download', `${type}_${periods.current}_vs_${periods.previous}_${new Date().toISOString().split('T')[0]}.csv`);
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document.body.appendChild(link);
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link.click();
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document.body.removeChild(link);
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};
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};
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