adjust test case

apps/dashboard_app/tests/test_dashboard_data_handler.py

@@ -5,9 +5,31 @@
 @pytest.fixture
 def mock_data_connector():
     """Fixture to mock the DataConnector."""
-    with patch("dashboard_app.helpers.load_data.DataConnector") as MockConnector:
-        connector = MockConnector.return_value
-        connector.fetch_data.return_value = MagicMock()
+    with patch("dashboard_app.helpers.load_data.data_connector") as MockConnector:
+        connector = MockConnector
+        # Mocking fetch_data calls with dummy data
+        connector.fetch_data.side_effect = [
+            MagicMock(to_dict=lambda orient: [
+                {
+                    "user": "user1",
+                    "collateral_enabled": [True, False],
+                    "collateral": [100, 200],
+                    "debt": [50, 150],
+                    "block": 5
+                },
+                {
+                    "user": "user2",
+                    "collateral_enabled": [True],
+                    "collateral": [300],
+                    "debt": [100],
+                    "block": 6
+                }
+            ]),
+            MagicMock(
+                collateral=1.5,
+                debt=2.0
+            ),
+        ]
         yield connector
 
 @pytest.fixture
@@ -42,10 +64,12 @@ def test_load_data_success(mock_get_prices, handler):
 
 # Negative Scenario: Missing or Invalid Data
 def test_load_data_missing_data(handler):
-    handler._get_loan_stats = MagicMock(side_effect=Exception("Data fetch error"))
-    with pytest.raises(Exception, match="Data fetch error"):
+    """Test for handling missing data in load_data method."""
+    handler._get_loan_stats = MagicMock(side_effect=AttributeError("'list' object has no attribute 'keys'"))
+    with pytest.raises(AttributeError, match="'list' object has no attribute 'keys'"):
         handler.load_data()
 
+
 # Negative Scenario: Invalid Prices
 @patch("dashboard_app.helpers.load_data.get_prices")
 def test_load_data_invalid_prices(mock_get_prices, handler):