From 55f6f8b39b521f30656eb179e6791a0ff794f686 Mon Sep 17 00:00:00 2001
From: Jay Danielsen <jay.danielsen@cision.com>
Date: Fri, 30 Aug 2024 12:10:08 -0400
Subject: [PATCH] fix for empty string handling

---
 lib/utils.js |  2 +-
 package.json |  2 +-
 test/test.js | 26 ++++++++++++++++++++++++++
 3 files changed, 28 insertions(+), 2 deletions(-)

diff --git a/lib/utils.js b/lib/utils.js
index 6a22455..b29a359 100644
--- a/lib/utils.js
+++ b/lib/utils.js
@@ -133,7 +133,7 @@ module.exports = {
     } else if (_.isBoolean(v)) {
       t = 'b';
       v = '<v>' + (v === true ? '1' : '0') + '</v>';
-    } else if (v) {
+    } else if (v !== undefined) {
       v = '<is><t>' + escapeXML(v) + '</t></is>';
       t = 'inlineStr';
     }
diff --git a/package.json b/package.json
index 9a79100..c8ae766 100644
--- a/package.json
+++ b/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@brandwatch/xlsx-stream",
   "description": "Creates SpreadsheetML (.xlsx) files in sequence with streaming interface.",
-  "version": "0.2.0",
+  "version": "0.2.1",
   "homepage": "https://github.com/BrandwatchLtd/node-xlsx-stream",
   "author": {
     "name": "Ryota Suzuki",
diff --git a/test/test.js b/test/test.js
index feaacc6..d02a775 100644
--- a/test/test.js
+++ b/test/test.js
@@ -168,6 +168,32 @@ describe("xlsx-stream", () => {
     });
   });
 
+  describe("empty string", () => {
+    const filePath = path.join(dirPath, "emptyString.xlsx");
+    const expectedRows = [
+      ['Place Holder', ''],
+    ];
+
+    it("should create an xlsx file and preserve empty string", (done) => {
+      const x = xlsx_stream();
+      const out = fs.createWriteStream(filePath);
+      x.pipe(out);
+      expectedRows.forEach((row) => x.write(row));
+      x.end();
+      out.on("finish", () => {
+        const workSheetsFromFile = xlsx.parse(filePath);
+        const rows = workSheetsFromFile[0].data;
+
+        assert.deepStrictEqual(
+          rows,
+          expectedRows,
+          `Rows do not match. Expected ${JSON.stringify(expectedRows)}, but got ${JSON.stringify(rows)}`,
+        );
+        done();
+      });
+    });
+  });
+
   describe("Large dataset", () => {
     it("should handle large dataset", (done) => {
       const randRows = 10000 + _.random(10000);