0; function h(mixed $value): string { return htmlspecialchars((string) ($value ?? ''), ENT_QUOTES, 'UTF-8'); } function renderCell(mixed $value): string { if ($value === null || $value === '') { return '—'; } return h($value); } function flashClasses(?array $flash): string { $type = (string) ($flash['type'] ?? 'info'); return match ($type) { 'success' => 'border-emerald-200 bg-emerald-50 text-emerald-900', 'danger' => 'border-rose-200 bg-rose-50 text-rose-900', 'warning' => 'border-amber-200 bg-amber-50 text-amber-900', default => 'border-sky-200 bg-sky-50 text-sky-900', }; } ?> <?= h($appName) ?>
Stage 1

Upload an Excel workbook, wipe the current imported dataset, process the rows, and review the stored results with derived fields.

Current imported rows
Showing a preview of the latest row(s).

Upload and import

The previous imported data is cleared before the new workbook is inserted.

Supported files: .xls and .xlsx.

Ready to import 0%
Rows detected: 0 Chunk size:
Open full table
1 Validate file
2 Wipe existing rows
3 Normalize and derive fields
4 Store in PostgreSQL
5 Review preview table

Imported data preview

Showing of row(s)
Row
$previewLimit): ?>
Preview is limited to row(s). Open the full table for search and pagination.
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Choose an Excel workbook and run the import to display the latest processed rows here.