import unittest
from unittest.mock import MagicMock, patch, ANY
import sys
import types

# Helper to create a mock package
def mock_package(name):
    m = MagicMock()
    m.__path__ = []
    sys.modules[name] = m
    return m

# Mock libraries before importing module under test
# We need to ensure matplotlib behaves like a package for seaborn
sys.modules['matplotlib'] = MagicMock()
sys.modules['matplotlib.colors'] = MagicMock()
sys.modules['matplotlib.pyplot'] = MagicMock()
sys.modules['matplotlib.patches'] = MagicMock()
sys.modules['plotly'] = MagicMock()
sys.modules['plotly.express'] = MagicMock()
sys.modules['plotly.graph_objects'] = MagicMock()
sys.modules['plotly.subplots'] = MagicMock()
sys.modules['graphviz'] = MagicMock()
sys.modules['seaborn'] = MagicMock()

from semantica.visualization.kg_visualizer import KGVisualizer
from semantica.visualization.ontology_visualizer import OntologyVisualizer
from semantica.visualization.utils.color_schemes import ColorScheme

class TestVisualization(unittest.TestCase):

    def setUp(self):
        self.mock_logger = MagicMock()
        self.mock_tracker = MagicMock()
        
        self.logger_patcher = patch('semantica.visualization.kg_visualizer.get_logger', return_value=self.mock_logger)
        self.tracker_patcher = patch('semantica.visualization.kg_visualizer.get_progress_tracker', return_value=self.mock_tracker)
        
        self.logger_patcher_ov = patch('semantica.visualization.ontology_visualizer.get_logger', return_value=self.mock_logger)
        self.tracker_patcher_ov = patch('semantica.visualization.ontology_visualizer.get_progress_tracker', return_value=self.mock_tracker)
        
        self.logger_patcher.start()
        self.tracker_patcher.start()
        self.logger_patcher_ov.start()
        self.tracker_patcher_ov.start()

    def tearDown(self):
        self.logger_patcher.stop()
        self.tracker_patcher.stop()
        self.logger_patcher_ov.stop()
        self.tracker_patcher_ov.stop()

    def test_kg_visualizer_initialization(self):
        viz = KGVisualizer(layout="force", color_scheme="default")
        self.assertIsInstance(viz, KGVisualizer)
        self.assertEqual(viz.layout_type, "force")
        self.assertEqual(viz.color_scheme, ColorScheme.DEFAULT)

    def test_ontology_visualizer_initialization(self):
        viz = OntologyVisualizer(color_scheme="default")
        self.assertIsInstance(viz, OntologyVisualizer)
        self.assertEqual(viz.color_scheme, ColorScheme.DEFAULT)

    @patch('semantica.visualization.kg_visualizer.ForceDirectedLayout')
    @patch('semantica.visualization.kg_visualizer.HierarchicalLayout')
    @patch('semantica.visualization.kg_visualizer.CircularLayout')
    def test_kg_visualizer_layouts_init(self, mock_circ, mock_hier, mock_force):
        viz = KGVisualizer()
        mock_force.assert_called()
        mock_hier.assert_called()
        mock_circ.assert_called()

    # We can add more specific tests if we know the methods. 
    # Since we mocked the heavy libraries, we can try calling visualize methods
    # provided we mock the internal data processing or if they handle empty data gracefully.
    
    def test_kg_visualizer_methods_existence(self):
        viz = KGVisualizer()
        self.assertTrue(hasattr(viz, 'visualize_network'))
        # Add other methods based on file reading: 
        # visualize_communities, visualize_centrality, visualize_entity_types, visualize_relationship_matrix

    def test_ontology_visualizer_methods_existence(self):
        viz = OntologyVisualizer()
        self.assertTrue(hasattr(viz, 'visualize_hierarchy'))
        # visualize_properties, visualize_structure, visualize_class_property_matrix, visualize_metrics, visualize_semantic_model

if __name__ == '__main__':
    unittest.main()
