Create aiModel.test.js

Author: KOSASIH

tests/aiModel.test.js

@@ -0,0 +1,63 @@
+// tests/aiModel.test.js - Unit tests for AI Model module
+
+import AIModel from '../src/space/aiModel';
+import * as tf from '@tensorflow/tfjs'; // Import TensorFlow.js
+
+jest.mock('@tensorflow/tfjs'); // Mock TensorFlow.js for testing
+
+describe('AIModel', () => {
+    let aiModel;
+    const modelPath = 'path/to/model.json';
+
+    beforeEach(() => {
+        aiModel = new AIModel(modelPath);
+    });
+
+    test('should initialize the model', async () => {
+        const mockModel = { predict: jest.fn() };
+        tf.loadLayersModel.mockResolvedValue(mockModel); // Mock the model loading
+
+        await aiModel.initialize();
+        expect(tf.loadLayersModel).toHaveBeenCalledWith(modelPath);
+        expect(aiModel.model).toBe(mockModel);
+    });
+
+    test('should throw an error if model initialization fails', async () => {
+        tf.loadLayersModel.mockRejectedValue(new Error('Failed to load model'));
+
+        await expect(aiModel.initialize()).rejects.toThrow('Failed to initialize AI model');
+    });
+
+    test('should preprocess data correctly', () => {
+        const inputData = [[1, 2, 3], [4, 5, 6]];
+        const expectedTensor = tf.tensor(inputData);
+
+        const tensorData = aiModel.preprocessData(inputData);
+        expect(tensorData).toEqual(expectedTensor);
+    });
+
+    test('should make predictions', async () => {
+        const mockModel = { predict: jest.fn().mockReturnValue(tf.tensor([[0.5]])) };
+        aiModel.model = mockModel; // Set the mocked model
+
+        const inputData = [[1, 2, 3]];
+        const processedData = aiModel.preprocessData(inputData);
+        await aiModel.analyze(inputData);
+
+        expect(mockModel.predict).toHaveBeenCalledWith(processedData);
+    });
+
+    test('should throw an error if model is not initialized before prediction', async () => {
+        const inputData = [[1, 2, 3]];
+
+        await expect(aiModel.analyze(inputData)).rejects.toThrow('AI model is not initialized');
+    });
+
+    test('should throw an error during analysis if prediction fails', async () => {
+        const mockModel = { predict: jest.fn().mockImplementation(() => { throw new Error('Prediction error'); }) };
+        aiModel.model = mockModel; // Set the mocked model
+
+        const inputData = [[1, 2, 3]];
+        await expect(aiModel.analyze(inputData)).rejects.toThrow('Failed to analyze data');
+    });
+});