feat(lieferung/neu): PDF upload with SSE streaming and result dialog
- Add PDF-Upload button to ManifestHeader (delivery forms only) - New ManifestPdfDialog: live SSE event log, structured basedata, and line-items table streamed from POST /api/delivery/parsePDF - ApiClient.delivery.parsePdfSse: multipart/form-data upload, async generator yielding typed SSE events (status, llm_call, tool_call, usage, progress, result, error) - ManifestForm.handlePdfUpload: drives SSE generator, updates dialog state in real-time; dialog opens immediately on upload - Fix MUI icon imports (CheckCircle, ErrorOutlined)
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184
src/utils/importArtikelCsv.js
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184
src/utils/importArtikelCsv.js
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/**
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* Client-side bulk import of the shop `artikeltabelle.csv` export format.
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*
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* The CSV is semicolon-separated (often wrapped in `="…"` from Excel export)
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* with columns:
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* ArtNr; Name; Preis; USt; Pfand; Hersteller; Kategorie; Barcode; V/K
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*
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* All work is done through the existing dashback API:
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* - categories → POST /api/category
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* - brands → PUT /api/brand
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* - articles → POST /api/article (+ price / brand / ean / categories PUTs)
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*/
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/** Parse one `="value"` / `"value"` / plain Excel-style CSV cell. */
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export function stripCell(value) {
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if (value == null) return '';
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let text = String(value).trim();
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if (text.startsWith('=')) text = text.slice(1);
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text = text.trim();
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if (
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text.length >= 2 &&
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text.startsWith('"') &&
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text.endsWith('"')
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) {
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text = text.slice(1, -1).replace(/""/g, '"');
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}
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return text.trim();
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}
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/**
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* Split a semicolon CSV line into cells, honoring double-quoted fields.
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* (Cell values are still raw; use `stripCell` for the Excel `="…"` wrapper.)
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*/
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export function splitCsvLine(line) {
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const cells = [];
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let cur = '';
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let inQuotes = false;
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for (let i = 0; i < line.length; i++) {
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const ch = line[i];
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if (inQuotes) {
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if (ch === '"') {
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if (line[i + 1] === '"') {
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cur += '"';
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i++;
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} else {
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inQuotes = false;
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}
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} else {
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cur += ch;
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}
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} else if (ch === '"') {
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inQuotes = true;
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} else if (ch === ';') {
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cells.push(cur);
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cur = '';
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} else {
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cur += ch;
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}
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}
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cells.push(cur);
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return cells.map((c) => stripCell(c));
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}
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/**
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* Parse a CSV string into row objects keyed by the header names.
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* Skips blank lines and the optional `sep=;` hint line.
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*/
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export function parseArtikelCsv(csvText) {
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const lines = String(csvText ?? '')
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.replace(/\r\n/g, '\n')
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.split('\n')
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.map((l) => l.trim())
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.filter((l) => l !== '' && l !== 'sep=;');
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if (lines.length === 0) return [];
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const headers = splitCsvLine(lines[0]);
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const rows = [];
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for (let i = 1; i < lines.length; i++) {
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const cells = splitCsvLine(lines[i]);
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const row = {};
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headers.forEach((header, idx) => {
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row[header] = cells[idx] ?? '';
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});
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if (row.Name) rows.push(row);
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}
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return rows;
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}
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/**
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* Resolve a de-DE (or plain) number from a CSV field.
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* Accepts `2,00`, `1.234,56`, and plain `2.00`.
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*/
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export function parseCsvNumber(value) {
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const text = String(value ?? '').trim();
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if (text === '') return null;
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let normalized = text.replace(/\s/g, '');
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if (normalized.includes(',')) {
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normalized = normalized.replace(/\./g, '').replace(',', '.');
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}
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const parsed = Number(normalized);
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return Number.isFinite(parsed) && parsed >= 0 ? parsed : null;
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}
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/** EAN from a CSV cell (digits only), or null. */
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export function parseCsvEan(value) {
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const digits = String(value ?? '').replace(/\D/g, '');
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return digits || null;
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}
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/**
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* Split a `Kategorie` path (`Haupt | Grow | Erde`) into trimmed segments.
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* Empty / falsy path → [].
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*/
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export function parseCategoryPath(value) {
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return String(value ?? '')
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.split('|')
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.map((s) => s.trim())
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.filter(Boolean);
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}
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/**
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* Column index → name. Uses a forgiving match so the exact header text
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* (with or without `="` wrapper, case) doesn't matter.
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*/
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function headerName(name) {
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return stripCell(name).toLowerCase().trim();
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}
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export const COLUMNS = {
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artNr: 'artnr',
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name: 'name',
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price: 'preis',
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tax: 'ust',
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deposit: 'pfand',
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brand: 'hersteller',
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category: 'kategorie',
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ean: 'barcode',
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vk: 'v/k',
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};
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/**
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* Normalize one raw CSV row object into the typed import record.
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* Unknown/missing columns become null/[] so downstream code can skip them.
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*/
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export function normalizeRow(row, headers = []) {
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const byName = new Map();
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(headers.length ? headers : Object.keys(row)).forEach((h) => {
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byName.set(headerName(h), row[h] ?? row[stripCell(h)] ?? '');
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});
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const get = (key) => byName.get(COLUMNS[key]) ?? byName.get(key) ?? '';
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const artNr = get('artNr');
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const name = get('name');
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const price = parseCsvNumber(get('price'));
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const tax = parseCsvNumber(get('tax'));
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const brand = get('brand');
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const categoryPath = parseCategoryPath(get('category'));
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const ean = parseCsvEan(get('ean'));
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const vk = get('vk');
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return {
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artNr,
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name,
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price,
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tax,
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deposit: parseCsvNumber(get('deposit')),
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brand,
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categoryPath,
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ean,
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vk,
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};
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}
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/**
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* Parse a full CSV string into typed import records.
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* @param {string} csvText
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* @returns {Array<ReturnType<typeof normalizeRow>>}
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*/
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export function parseImportCsv(csvText) {
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const rawRows = parseArtikelCsv(csvText);
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const headers = rawRows.length ? Object.keys(rawRows[0]) : [];
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return rawRows.map((row) => normalizeRow(row, headers));
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}
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