snapshot of https://github.com/excalidraw/excalidraw.git (master, 2026-09-16; blobs > 131072B omitted)

packages/excalidraw/charts/charts.parse.ts

@@ -0,0 +1,174 @@
+import { type ParseSpreadsheetResult } from "./charts.types";
+
+/**
+ * @private exported for testing
+ */
+export const tryParseNumber = (s: string): number | null => {
+  const match =
+    /^([-+]?)[$\u20AC\u00A3\u00A5\u20A9]?([-+]?)([\d.,]+)[%]?$/.exec(s);
+  if (!match) {
+    return null;
+  }
+  return parseFloat(`${(match[1] || match[2]) + match[3]}`.replace(/,/g, ""));
+};
+
+const isNumericColumn = (lines: string[][], columnIndex: number) =>
+  lines.slice(1).every((line) => tryParseNumber(line[columnIndex]) !== null);
+
+/**
+ * @private exported for testing
+ */
+export const tryParseCells = (cells: string[][]): ParseSpreadsheetResult => {
+  const numCols = cells[0].length;
+
+  if (numCols > 2) {
+    const hasHeader = cells[0].every((cell) => tryParseNumber(cell) === null);
+    const rows = hasHeader ? cells.slice(1) : cells;
+
+    if (rows.length < 1) {
+      return { ok: false, reason: "No data rows" };
+    }
+
+    const invalidNumericColumn = rows.some((row) =>
+      row.slice(1).some((value) => tryParseNumber(value) === null),
+    );
+    if (invalidNumericColumn) {
+      return { ok: false, reason: "Value is not numeric" };
+    }
+
+    // When there are more value columns than data rows, the data is in
+    // "wide" format — transpose so columns become labels (dimensions)
+    // and rows become series. This enables e.g. radar charts for wide data.
+    const numValueCols = numCols - 1;
+    if (numValueCols > rows.length) {
+      const labels = hasHeader ? cells[0].slice(1).map((h) => h.trim()) : null;
+      const series = rows.map((row) => ({
+        title: row[0]?.trim() || null,
+        values: row.slice(1).map((v) => tryParseNumber(v)!),
+      }));
+      const title =
+        series.length === 1
+          ? series[0].title
+          : hasHeader
+          ? cells[0][0].trim() || null
+          : null;
+      return {
+        ok: true,
+        data: { title, labels, series },
+      };
+    }
+
+    const series = cells[0].slice(1).map((seriesTitle, index) => {
+      const valueColumnIndex = index + 1;
+      const fallbackTitle = `Series ${valueColumnIndex}`;
+      return {
+        title: hasHeader ? seriesTitle.trim() || fallbackTitle : fallbackTitle,
+        values: rows.map((row) => tryParseNumber(row[valueColumnIndex])!),
+      };
+    });
+
+    return {
+      ok: true,
+      data: {
+        title: hasHeader ? cells[0][0].trim() || null : null,
+        labels: rows.map((row) => row[0]),
+        series,
+      },
+    };
+  }
+
+  if (numCols === 1) {
+    if (!isNumericColumn(cells, 0)) {
+      return { ok: false, reason: "Value is not numeric" };
+    }
+
+    const hasHeader = tryParseNumber(cells[0][0]) === null;
+    const title = hasHeader ? cells[0][0] : null;
+    const values = (hasHeader ? cells.slice(1) : cells).map((line) =>
+      tryParseNumber(line[0]),
+    );
+
+    if (values.length < 2) {
+      return { ok: false, reason: "Less than two rows" };
+    }
+
+    return {
+      ok: true,
+      data: {
+        title,
+        labels: null,
+        series: [{ title, values: values as number[] }],
+      },
+    };
+  }
+
+  const hasHeader = tryParseNumber(cells[0][1]) === null;
+  const rows = hasHeader ? cells.slice(1) : cells;
+
+  if (rows.length < 2) {
+    return { ok: false, reason: "Less than 2 rows" };
+  }
+
+  const invalidNumericColumn = rows.some(
+    (row) => tryParseNumber(row[1]) === null,
+  );
+  if (invalidNumericColumn) {
+    return { ok: false, reason: "Value is not numeric" };
+  }
+
+  const title = hasHeader ? cells[0][1] : null;
+
+  return {
+    ok: true,
+    data: {
+      title,
+      labels: rows.map((row) => row[0]),
+      series: [{ title, values: rows.map((row) => tryParseNumber(row[1])!) }],
+    },
+  };
+};
+
+export const tryParseSpreadsheet = (text: string): ParseSpreadsheetResult => {
+  // Copy/paste from excel, spreadsheets, TSV, CSV, semicolon-separated.
+  const parseDelimitedLines = (delimiter: "\t" | "," | ";") =>
+    text
+      .replace(/\r\n?/g, "\n")
+      .split("\n")
+      .filter((line) => line.trim().length > 0)
+      .map((line) => line.split(delimiter).map((cell) => cell.trim()));
+
+  // Score each delimiter: prefer consistent column counts with the most columns.
+  // A delimiter that produces all single-column rows likely isn't the right one.
+  const candidates = (["\t", ",", ";"] as const).map((delimiter) => {
+    const parsed = parseDelimitedLines(delimiter);
+    const numCols = parsed[0]?.length ?? 0;
+    const isConsistent =
+      parsed.length > 0 && parsed.every((line) => line.length === numCols);
+    return { delimiter, parsed, numCols, isConsistent };
+  });
+
+  // Prefer: consistent + most columns. Among ties, tab > comma > semicolon
+  // (the array order already encodes this priority).
+  const best =
+    candidates.find((c) => c.isConsistent && c.numCols > 1) ??
+    candidates.find((c) => c.isConsistent) ??
+    candidates[0];
+
+  const lines = best.parsed;
+
+  if (lines.length === 0) {
+    return { ok: false, reason: "No values" };
+  }
+
+  const numColsFirstLine = lines[0].length;
+  const isSpreadsheet = lines.every((line) => line.length === numColsFirstLine);
+
+  if (!isSpreadsheet) {
+    return {
+      ok: false,
+      reason: "All rows don't have same number of columns",
+    };
+  }
+
+  return tryParseCells(lines);
+};