Files
dashfront/src/utils/importArtikelCsv.js
seb dbf978d015 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)
2026-09-15 08:50:16 +02:00

185 lines
4.8 KiB
JavaScript

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