From ffda566fd3d589ce7f56dc271c16126d8c62a0db Mon Sep 17 00:00:00 2001
From: kumarabhirup <hey@kumareth.com>
Date: Wed, 4 Mar 2026 11:08:23 -0800
Subject: [PATCH] feat(web): add spreadsheet data transform utilities

---
 .../components/workspace/spreadsheet-utils.ts | 124 ++++++++++++++++++
 1 file changed, 124 insertions(+)
 create mode 100644 apps/web/app/components/workspace/spreadsheet-utils.ts

diff --git a/apps/web/app/components/workspace/spreadsheet-utils.ts b/apps/web/app/components/workspace/spreadsheet-utils.ts
new file mode 100644
index 00000000000..055c9528109
--- /dev/null
+++ b/apps/web/app/components/workspace/spreadsheet-utils.ts
@@ -0,0 +1,124 @@
+import type { CellBase, Matrix, Selection, Point } from "react-spreadsheet";
+import { createEmptyMatrix } from "react-spreadsheet";
+import { utils, type WorkSheet } from "xlsx";
+
+// ---------------------------------------------------------------------------
+// File extension helpers
+// ---------------------------------------------------------------------------
+
+const TEXT_EXTENSIONS = new Set(["csv", "tsv"]);
+
+export function fileExt(filename: string): string {
+  return filename.split(".").pop()?.toLowerCase() ?? "";
+}
+
+export function isTextSpreadsheet(filename: string): boolean {
+  return TEXT_EXTENSIONS.has(fileExt(filename));
+}
+
+// ---------------------------------------------------------------------------
+// Cell reference helpers
+// ---------------------------------------------------------------------------
+
+/** Convert zero-based column index to Excel-style label (A, B, ..., Z, AA, AB, ...) */
+export function columnLabel(idx: number): string {
+  let label = "";
+  let n = idx;
+  do {
+    label = String.fromCharCode(65 + (n % 26)) + label;
+    n = Math.floor(n / 26) - 1;
+  } while (n >= 0);
+  return label;
+}
+
+/** Format a cell coordinate as an Excel-style reference like "C7" */
+export function cellRef(point: Point): string {
+  return `${columnLabel(point.column)}${point.row + 1}`;
+}
+
+// ---------------------------------------------------------------------------
+// Data conversion
+// ---------------------------------------------------------------------------
+
+/** Convert an xlsx WorkSheet to a react-spreadsheet data matrix */
+export function sheetToMatrix(sheet: WorkSheet): Matrix<CellBase> {
+  const raw: unknown[][] = utils.sheet_to_json(sheet, {
+    header: 1,
+    defval: "",
+  });
+  if (raw.length === 0) {return createEmptyMatrix<CellBase>(1, 1);}
+
+  const maxCols = raw.reduce((m, r) => Math.max(m, r.length), 0);
+  return raw.map((row) => {
+    const cells: (CellBase | undefined)[] = [];
+    for (let c = 0; c < maxCols; c++) {
+      const v = c < row.length ? row[c] : "";
+      cells.push({ value: v == null ? "" : v });
+    }
+    return cells;
+  });
+}
+
+/** Convert a react-spreadsheet data matrix to an xlsx WorkSheet */
+export function matrixToSheet(data: Matrix<CellBase>): WorkSheet {
+  const aoa: unknown[][] = data.map((row) =>
+    (row ?? []).map((cell) => (cell ? cell.value : "")),
+  );
+  return utils.aoa_to_sheet(aoa);
+}
+
+/** Convert data matrix to CSV text */
+export function matrixToCsv(data: Matrix<CellBase>, sep = ","): string {
+  return data
+    .map((row) =>
+      (row ?? [])
+        .map((cell) => {
+          const v = cell ? String(cell.value) : "";
+          if (v.includes(sep) || v.includes('"') || v.includes("\n")) {
+            return `"${v.replace(/"/g, '""')}"`;
+          }
+          return v;
+        })
+        .join(sep),
+    )
+    .join("\n");
+}
+
+// ---------------------------------------------------------------------------
+// Selection statistics
+// ---------------------------------------------------------------------------
+
+export type SelectionStatsResult = {
+  count: number;
+  numericCount: number;
+  sum: number;
+  avg: number;
+};
+
+/** Compute summary stats for numeric cells in current selection */
+export function selectionStats(
+  data: Matrix<CellBase>,
+  sel: Selection | null,
+): SelectionStatsResult | null {
+  if (!sel) {return null;}
+  const range = sel.toRange(data);
+  if (!range) {return null;}
+
+  let count = 0;
+  let numericCount = 0;
+  let sum = 0;
+
+  for (const pt of range) {
+    const cell = data[pt.row]?.[pt.column];
+    if (!cell) {continue;}
+    count++;
+    const n = Number(cell.value);
+    if (cell.value !== "" && !isNaN(n)) {
+      numericCount++;
+      sum += n;
+    }
+  }
+
+  if (count <= 1) {return null;}
+  return { count, numericCount, sum, avg: numericCount > 0 ? sum / numericCount : 0 };
+}