From c4daa2545b78ae68fd96c1a1858804a4e79413f2 Mon Sep 17 00:00:00 2001
From: Manideep-Kanna <72699920+Manideep-Kanna@users.noreply.github.com>
Date: Wed, 11 Dec 2024 17:31:04 +0530
Subject: [PATCH] Fix#27796 Added condition and test case for the getData
 parameter input functionality (#27843)

This fixes #27796
Implemented the exception for the passing parameter scenario for getData
function

- Added condition to check if parameters are passed or not
- Added tests in Tensor.test.js
---
 src/bindings/js/node/src/tensor.cpp            | 6 ++++++
 src/bindings/js/node/tests/unit/tensor.test.js | 6 ++++++
 2 files changed, 12 insertions(+)

diff --git a/src/bindings/js/node/src/tensor.cpp b/src/bindings/js/node/src/tensor.cpp
index 78785a10b2275b..14a68286e5372c 100644
--- a/src/bindings/js/node/src/tensor.cpp
+++ b/src/bindings/js/node/src/tensor.cpp
@@ -66,6 +66,12 @@ Napi::Object TensorWrap::wrap(Napi::Env env, ov::Tensor tensor) {
 }
 
 Napi::Value TensorWrap::get_data(const Napi::CallbackInfo& info) {
+    Napi::Env env = info.Env();
+    if (info.Length() > 0) {
+        reportError(env, "getData() does not accept any arguments.");
+        return env.Undefined();
+    }
+
     auto type = _tensor.get_element_type();
 
     switch (type) {
diff --git a/src/bindings/js/node/tests/unit/tensor.test.js b/src/bindings/js/node/tests/unit/tensor.test.js
index 656bdf9b122e58..2cd5115b5af2a8 100644
--- a/src/bindings/js/node/tests/unit/tensor.test.js
+++ b/src/bindings/js/node/tests/unit/tensor.test.js
@@ -121,6 +121,12 @@ describe('ov.Tensor tests', () => {
       assert.deepStrictEqual(tensor.getData(), data);
     });
 
+    it('getData should throw an error if arguments are provided', () => {
+      const tensor = new ov.Tensor(ov.element.f32, shape, data);
+      assert.throws(() => tensor.getData(1), {
+        message: 'getData() does not accept any arguments.',
+      });
+    });
     it('test tensor.data setter - different element type throws', () => {
       const float64Data = Float64Array.from([1, 2, 3]);
       const tensor = new ov.Tensor(ov.element.f32, [1, 3]);