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

packages/excalidraw/tests/charts.test.tsx

@@ -0,0 +1,164 @@
+import { tryParseSpreadsheet } from "../charts";
+
+describe("tryParseSpreadsheet", () => {
+  it("works for numbers with comma in them", () => {
+    const result = tryParseSpreadsheet(
+      `Week Index${"\t"}Users
+Week 1${"\t"}814
+Week 2${"\t"}10,301
+Week 3${"\t"}4,264`,
+    );
+    expect(result).toMatchSnapshot();
+  });
+
+  it("parses multi-series CSV for radar charts", () => {
+    const result = tryParseSpreadsheet(
+      `Metric,Player A,Player B,Player C
+Speed,80,60,75
+Strength,65,85,70
+Agility,90,70,88
+Intelligence,70,88,92
+Stamina,85,75,80`,
+    );
+
+    expect(result).toEqual({
+      ok: true,
+      data: {
+        title: "Metric",
+        labels: ["Speed", "Strength", "Agility", "Intelligence", "Stamina"],
+        series: [
+          { title: "Player A", values: [80, 65, 90, 70, 85] },
+          { title: "Player B", values: [60, 85, 70, 88, 75] },
+          { title: "Player C", values: [75, 70, 88, 92, 80] },
+        ],
+      },
+    });
+  });
+
+  it("parses TSV with empty chart-name header cell", () => {
+    const result = tryParseSpreadsheet(
+      `\tDunk\tEgg
+Physical Strength\t10\t2
+Swordsmanship\t8\t1
+Political Instinct\t3\t9`,
+    );
+
+    expect(result).toEqual({
+      ok: true,
+      data: {
+        title: null,
+        labels: ["Physical Strength", "Swordsmanship", "Political Instinct"],
+        series: [
+          { title: "Dunk", values: [10, 8, 3] },
+          { title: "Egg", values: [2, 1, 9] },
+        ],
+      },
+    });
+  });
+
+  it("parses 2-row multi-series TSV without transposing", () => {
+    const result = tryParseSpreadsheet(
+      `Physical Strength\t10\t2
+Swordsmanship skill\t8\t1`,
+    );
+
+    expect(result).toEqual({
+      ok: true,
+      data: {
+        title: null,
+        labels: ["Physical Strength", "Swordsmanship skill"],
+        series: [
+          { title: "Series 1", values: [10, 8] },
+          { title: "Series 2", values: [2, 1] },
+        ],
+      },
+    });
+  });
+
+  it("parses semicolon-separated values", () => {
+    const result = tryParseSpreadsheet(
+      `Metric;Player A;Player B
+Speed;80;60
+Strength;65;85
+Agility;90;70`,
+    );
+
+    expect(result).toEqual({
+      ok: true,
+      data: {
+        title: "Metric",
+        labels: ["Speed", "Strength", "Agility"],
+        series: [
+          { title: "Player A", values: [80, 65, 90] },
+          { title: "Player B", values: [60, 85, 70] },
+        ],
+      },
+    });
+  });
+
+  it("transposes wide data (more value cols than rows) into series-per-row", () => {
+    const result = tryParseSpreadsheet(
+      `trait,Dunk,Egg,Daeron
+Physical,10,2,7
+Mental,10,2,7`,
+    );
+
+    expect(result).toEqual({
+      ok: true,
+      data: {
+        title: "trait",
+        labels: ["Dunk", "Egg", "Daeron"],
+        series: [
+          { title: "Physical", values: [10, 2, 7] },
+          { title: "Mental", values: [10, 2, 7] },
+        ],
+      },
+    });
+  });
+
+  it("transposes single data row with header into single series", () => {
+    const result = tryParseSpreadsheet(
+      `trait,Dunk,Egg,Daeron
+Physical,10,2,7`,
+    );
+
+    expect(result).toEqual({
+      ok: true,
+      data: {
+        title: "Physical",
+        labels: ["Dunk", "Egg", "Daeron"],
+        series: [{ title: "Physical", values: [10, 2, 7] }],
+      },
+    });
+  });
+
+  it("transposes single data row without header into single series", () => {
+    const result = tryParseSpreadsheet(`Physical,10,2,7`);
+
+    expect(result).toEqual({
+      ok: true,
+      data: {
+        title: "Physical",
+        labels: null,
+        series: [{ title: "Physical", values: [10, 2, 7] }],
+      },
+    });
+  });
+
+  it("prefers tab over comma/semicolon when tabs produce multiple columns", () => {
+    const result = tryParseSpreadsheet(
+      `Label\tValue
+A\t10
+B\t20`,
+    );
+
+    expect(result).toEqual({
+      ok: true,
+      data: {
+        title: "Value",
+        labels: ["A", "B"],
+        series: [{ title: "Value", values: [10, 20] }],
+      },
+    });
+  });
+});