Create test_data_pipeline.py

Author: KOSASIH

tests/test_neuromorphic_analytics/test_data_pipeline.py

@@ -0,0 +1,25 @@
+# tests/test_neuromorphic_analytics/test_data_pipeline.py
+
+import unittest
+from src.neuromorphic_analytics.data_pipeline import DataPipeline
+
+class TestDataPipeline(unittest.TestCase):
+    def setUp(self):
+        """Set up the Data Pipeline for testing."""
+        self.data_sources = ['source1', 'source2']
+        self.data_pipeline = DataPipeline(self.data_sources)
+
+    def test_collect_data(self):
+        """Test the data collection functionality."""
+        collected_data = self.data_pipeline.collect_data()
+        self.assertEqual(len(collected_data), len(self.data_sources) * 5)  # Expecting 5 data points from each source
+
+    def test_preprocess_data(self):
+        """Test the data preprocessing functionality."""
+        raw_data = [0.1, 0.5, 0.9]
+        preprocessed_data = self.data_pipeline.preprocess_data(raw_data)
+        self.assertEqual(len(preprocessed_data), len(raw_data))  # Check if the length remains the same
+        self.assertTrue(all(0 <= data <= 1 for data in preprocessed_data))  # Check if all data is normalized
+
+if __name__ == '__main__':
+    unittest.main()