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Refactor: Switched all exports to .xlsx and enhanced Weekly Grid export

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Christian Vidal Wolf
2026-01-27 15:55:59 +01:00
parent 7178b57073
commit 219d050bf2
4 changed files with 206 additions and 226 deletions
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components/DataGrid.tsx
+2 -2
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@@ -3,7 +3,7 @@ import {
LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer
} from 'recharts';
import { SalesRecord, PivotRow, AdsRecord, CombinedKPIs } from '../types';
import { pivotSalesData, generateCSV, aggregateForTimeSeries, aggregateForComparisonTimeSeries, applyPanEUGrouping } from '../services/dataProcessor';
import { pivotSalesData, generateXLSX, aggregateForTimeSeries, aggregateForComparisonTimeSeries, applyPanEUGrouping } from '../services/dataProcessor';
import { DownloadIcon, FunnelIcon, CloseIcon, ChartIcon, TrendingIcon } from './Icons';
interface DataGridProps {
@@ -551,7 +551,7 @@ const DataGrid: React.FC<DataGridProps> = ({ data, hasCustomerFilter, adsData =
};
const handleExport = () => {
generateCSV(processedRows, effectiveDimensions, years);
generateXLSX(processedRows, effectiveDimensions, years);
};
const addFilter = () => {
components/TopMovers.tsx
+14 -34
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@@ -1,6 +1,6 @@
import React, { useState, useMemo } from 'react';
import { SalesRecord } from './types';
import React, { useState, useMemo, useCallback } from 'react';
import * as XLSX from 'xlsx';
import { SalesRecord } from '../types';
import { DownloadIcon } from './Icons';
interface TopMoversProps {
@@ -34,45 +34,25 @@ const MoversTable: React.FC<{
return val.toLocaleString('de-DE');
};
const handleExport = () => {
const handleExport = useCallback(() => {
if (!data || data.length === 0) return;
// Helper to force Comma as thousands separator (US Locale)
const formatForCSV = (val: number) => {
return val.toLocaleString('de-DE', {
useGrouping: true,
minimumFractionDigits: metric === 'sellOut' ? 2 : 0,
maximumFractionDigits: metric === 'sellOut' ? 2 : 0,
});
};
// Prepare data for CSV
const csvData = data.map((item, index) => ({
const exportData = data.map((item, index) => ({
Rank: index + 1,
Title: item.title,
SKU: item.sku,
'Product Line': item.line,
[`${previousYear} ${metric === 'sellOut' ? 'Sell Out' : 'Units'}`]: formatForCSV(item.previousValue),
[`${currentYear} ${metric === 'sellOut' ? 'Sell Out' : 'Units'}`]: formatForCSV(item.currentValue),
'Difference': formatForCSV(item.diff),
'% Change': `${item.pct.toFixed(2)}%`
[`${previousYear} ${metric === 'sellOut' ? 'Sell Out' : 'Units'}`]: item.previousValue,
[`${currentYear} ${metric === 'sellOut' ? 'Sell Out' : 'Units'}`]: item.currentValue,
'Difference': item.diff,
'% Change': Number(item.pct.toFixed(2))
}));
// Generate CSV string
// @ts-ignore - Papa is loaded globally via CDN
const csv = Papa.unparse(csvData);
// Create download link
const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
const url = URL.createObjectURL(blob);
const link = document.createElement('a');
link.href = url;
const filename = `${title.replace(/\s+/g, '_')}_${currentYear}_vs_${previousYear}.csv`;
link.setAttribute('download', filename);
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
};
const ws = XLSX.utils.json_to_sheet(exportData);
const wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, ws, 'Top Movers');
XLSX.writeFile(wb, `${title.replace(/\s+/g, '_')}_${currentYear}_vs_${previousYear}.xlsx`);
}, [data, title, currentYear, previousYear, metric]);
const colorClass = type === 'growth' ? 'text-emerald-400' : 'text-rose-400';
const bgClass = type === 'growth' ? 'bg-emerald-500/10 text-emerald-400' : 'bg-rose-500/10 text-rose-400';
components/WeeklyGrid.tsx
+16 -1
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@@ -246,15 +246,30 @@ const WeeklyGrid: React.FC<WeeklyGridProps> = ({ data, top50Ranking, onDrillDown
allWeeks.forEach(week => {
rowData[`${week} Units`] = row.unitsByWeek[week] || 0;
rowData[`${week} Spend`] = row.spendByWeek[week] || 0;
rowData[`${week} GV`] = row.gvByWeek[week] || 0;
});
return rowData;
});
// Add Totals row
const totalsRow: any = {
SKU: 'TOTALS',
ASIN: '',
Title: 'ALL FILTERED PRODUCTS',
Line: '',
};
allWeeks.forEach(week => {
totalsRow[`${week} Units`] = weekTotals[week]?.units || 0;
totalsRow[`${week} Spend`] = weekTotals[week]?.spend || 0;
totalsRow[`${week} GV`] = weekTotals[week]?.gv || 0;
});
exportData.push(totalsRow);
const ws = XLSX.utils.json_to_sheet(exportData);
const wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, ws, 'Weekly Sales');
XLSX.writeFile(wb, `Weekly_Sales_Export_${new Date().toISOString().slice(0, 10)}.xlsx`);
}, [sortedRows, allWeeks]);
}, [sortedRows, allWeeks, weekTotals]);
return (
<div className="flex flex-col gap-4 animate-fade-in">
services/dataProcessor.ts
+21 -36
View File
@@ -1270,18 +1270,19 @@ export const pivotSalesData = (data: any[], dimensions: string[] = ['title', 'cu
};
};
export const generateCSV = (rows: PivotRow[], dimensions: string[], years: string[]) => {
// Flatten PivotRows into CSV-friendly objects
export const generateXLSX = (rows: PivotRow[], dimensions: string[], years: string[]) => {
// Flatten PivotRows into Excel-friendly objects
const flatData = rows.map(row => {
const flatRow: any = {};
// Add Dimension Columns
dimensions.forEach(dim => {
// Map internal key to nicer Header if needed
let header = dim;
if (dim === 'line') header = 'Product Line';
if (dim === 'title') header = 'Title';
if (dim === 'customer') header = 'Customer';
if (dim === 'sku' || dim === 'SKU') header = 'SKU';
if (dim === 'asin' || dim === 'ASIN') header = 'ASIN';
flatRow[header] = row[dim as keyof PivotRow];
});
@@ -1306,22 +1307,13 @@ export const generateCSV = (rows: PivotRow[], dimensions: string[], years: strin
return flatRow;
});
// Generate CSV string
// @ts-ignore
const csv = Papa.unparse(flatData);
// Trigger Download
const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
const url = URL.createObjectURL(blob);
const link = document.createElement('a');
link.href = url;
link.setAttribute('download', `sales_export_${new Date().toISOString().split('T')[0]}.csv`);
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
const ws = XLSX.utils.json_to_sheet(flatData);
const wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, ws, 'Business Data');
XLSX.writeFile(wb, `Business_Data_Export_${new Date().toISOString().slice(0, 10)}.xlsx`);
};
export const generateItemMoversCSV = (
export const generateItemMoversXLSX = (
data: ItemGrowthMetric[],
periods: { current: string; previous: string },
type: 'Gainers' | 'Losers'
@@ -1331,27 +1323,20 @@ export const generateItemMoversCSV = (
ASIN: item.asin || '-',
'Product Title': item.title || '-',
'Product Line': item.line || '-',
[`Sell Out ${periods.previous}`]: item.previousYearSellOut.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
[`Sell Out ${periods.current}`]: item.currentYearSellOut.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
'SO Diff': item.sellOutGrowthValue.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
'SO Growth %': item.sellOutGrowthPercentage.toLocaleString('de-DE', { minimumFractionDigits: 1, maximumFractionDigits: 1 }) + '%',
[`Units ${periods.previous}`]: item.previousYearUnits.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
[`Units ${periods.current}`]: item.currentYearUnits.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
'Units Diff': item.unitsGrowthValue.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 }),
'Units Growth %': item.unitsGrowthPercentage.toLocaleString('de-DE', { minimumFractionDigits: 1, maximumFractionDigits: 1 }) + '%',
[`Sell Out ${periods.previous}`]: item.previousYearSellOut,
[`Sell Out ${periods.current}`]: item.currentYearSellOut,
'SO Diff': item.sellOutGrowthValue,
'SO Growth %': Number(item.sellOutGrowthPercentage.toFixed(2)),
[`Units ${periods.previous}`]: item.previousYearUnits,
[`Units ${periods.current}`]: item.currentYearUnits,
'Units Diff': item.unitsGrowthValue,
'Units Growth %': Number(item.unitsGrowthPercentage.toFixed(2)),
}));
// @ts-ignore
const csv = Papa.unparse(flatData);
const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
const url = URL.createObjectURL(blob);
const link = document.createElement('a');
link.href = url;
link.setAttribute('download', `${type}_${periods.current}_vs_${periods.previous}_${new Date().toISOString().split('T')[0]}.csv`);
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
const ws = XLSX.utils.json_to_sheet(flatData);
const wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, ws, type);
XLSX.writeFile(wb, `${type}_${periods.current}_vs_${periods.previous}_${new Date().toISOString().split('T')[0]}.xlsx`);
};