Create test_ai_model.py

blockchain_integration/pi_network/pinnacle/tests/test_ai_model.py

@@ -0,0 +1,35 @@
+import unittest
+from unittest.mock import MagicMock, patch
+from pinnacle.utils.ai_utils import AIUtils
+from pinnacle.ai_models.prophet_model import ProphetModel
+
+class TestAIModel(unittest.TestCase):
+    def setUp(self):
+        self.ai_utils = AIUtils(ai_model=ProphetModel())
+
+    def test_make_predictions(self):
+        # Mock the Prophet model
+        prophet_model = MagicMock()
+        prophet_model.make_future_dataframe.return_value = 'future_df'
+        prophet_model.predict.return_value = 'predictions'
+        with patch('pinnacle.ai_models.prophet_model.Prophet', return_value=prophet_model):
+            predictions = self.ai_utils.make_predictions('ETH', 30)
+            self.assertEqual(predictions, 'predictions')
+
+    def test_train_model(self):
+        # Mock the Prophet model
+        prophet_model = MagicMock()
+        prophet_model.fit.return_value = None
+        with patch('pinnacle.ai_models.prophet_model.Prophet', return_value=prophet_model):
+            self.ai_utils.train_model('ETH', 'data.csv')
+
+    def test_get_model_performance(self):
+        # Mock the Prophet model
+        prophet_model = MagicMock()
+        prophet_model.evaluate.return_value = {'mse': 0.01}
+        with patch('pinnacle.ai_models.prophet_model.Prophet', return_value=prophet_model):
+            performance = self.ai_utils.get_model_performance('ETH')
+            self.assertEqual(performance, {'mse': 0.01})
+
+if __name__ == '__main__':
+    unittest.main()