"""Unit tests for signal processing mixins."""

import pytest
import numpy as np
from unittest.mock import Mock, patch, MagicMock
from pathlib import Path

from tests.fixtures.test_utils import BaseTestCase, EEGAssertions, MockOperations
from tests.fixtures.synthetic_data import create_synthetic_raw

# Import will be mocked for tests that don't need full functionality
try:
    from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
    from autoclean.mixins.signal_processing.ica import ICAMixin
    SIGNAL_PROCESSING_AVAILABLE = True
except ImportError:
    SIGNAL_PROCESSING_AVAILABLE = False


@pytest.mark.skipif(not SIGNAL_PROCESSING_AVAILABLE, reason="Signal processing mixins not available")
class TestBasicStepsMixin:
    """Test the BasicStepsMixin functionality."""
    
    def setup_method(self):
        """Set up test fixtures."""
        self.raw = create_synthetic_raw(duration=10.0, sfreq=1000.0)
        self.config = {
            "tasks": {
                "test_task": {
                    "settings": {
                        "resample_step": {"enabled": True, "value": 250},
                        "filtering": {
                            "enabled": True,
                            "value": {"l_freq": 1, "h_freq": 100, "notch_freqs": [60]}
                        },
                        "trim_step": {"enabled": True, "value": 2},
                        "crop_step": {"enabled": False, "value": {"start": 0, "end": null}},
                        "drop_outerlayer": {"enabled": False, "value": []},
                        "eog_step": {"enabled": False, "value": []}
                    }
                }
            }
        }
    
    def test_basic_steps_mixin_interface(self):
        """Test that BasicStepsMixin has expected interface."""
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        # Should have run_basic_steps method
        assert hasattr(BasicStepsMixin, 'run_basic_steps')
        assert callable(getattr(BasicStepsMixin, 'run_basic_steps'))
    
    def test_basic_steps_mixin_inheritance(self):
        """Test BasicStepsMixin can be inherited."""
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        class TestClass(BasicStepsMixin):
            def __init__(self):
                self.raw = create_synthetic_raw()
                self.config = self.config
            
            def _get_data_object(self, data=None, use_epochs=False):
                return data if data is not None else self.raw
            
            def resample_data(self, data=None, use_epochs=False):
                return data if data is not None else self.raw
            
            def filter_data(self, data=None, use_epochs=False):
                return data if data is not None else self.raw
            
            def drop_outerlayer_channels(self, data=None, use_epochs=False):
                return data if data is not None else self.raw
            
            def assign_eog_channels(self, data=None, use_epochs=False):
                return data if data is not None else self.raw
            
            def trim_edges(self, data=None, use_epochs=False):
                return data if data is not None else self.raw
            
            def crop_duration(self, data=None, use_epochs=False):
                return data if data is not None else self.raw
        
        test_instance = TestClass()
        
        # Should be able to call run_basic_steps
        assert hasattr(test_instance, 'run_basic_steps')
        
        # Mock the individual step methods to avoid full processing
        with patch.object(test_instance, 'resample_data', return_value=self.raw), \
             patch.object(test_instance, 'filter_data', return_value=self.raw), \
             patch.object(test_instance, 'drop_outerlayer_channels', return_value=self.raw), \
             patch.object(test_instance, 'assign_eog_channels', return_value=self.raw), \
             patch.object(test_instance, 'trim_edges', return_value=self.raw), \
             patch.object(test_instance, 'crop_duration', return_value=self.raw):
            
            result = test_instance.run_basic_steps()
            assert result is not None
    
    @patch('autoclean.utils.logging.message')
    def test_basic_steps_sequential_execution(self, mock_message):
        """Test that basic steps execute in correct sequence."""
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        class TestClass(BasicStepsMixin):
            def __init__(self):
                self.raw = create_synthetic_raw()
                self.execution_order = []
            
            def _get_data_object(self, data=None, use_epochs=False):
                return data if data is not None else self.raw
            
            def resample_data(self, data=None, use_epochs=False):
                self.execution_order.append('resample')
                return data if data is not None else self.raw
            
            def filter_data(self, data=None, use_epochs=False):
                self.execution_order.append('filter')
                return data if data is not None else self.raw
            
            def drop_outerlayer_channels(self, data=None, use_epochs=False):
                self.execution_order.append('drop_outerlayer')
                return data if data is not None else self.raw
            
            def assign_eog_channels(self, data=None, use_epochs=False):
                self.execution_order.append('assign_eog')
                return data if data is not None else self.raw
            
            def trim_edges(self, data=None, use_epochs=False):
                self.execution_order.append('trim')
                return data if data is not None else self.raw
            
            def crop_duration(self, data=None, use_epochs=False):
                self.execution_order.append('crop')
                return data if data is not None else self.raw
        
        test_instance = TestClass()
        test_instance.run_basic_steps()
        
        # Verify execution order
        expected_order = ['resample', 'filter', 'drop_outerlayer', 'assign_eog', 'trim', 'crop']
        assert test_instance.execution_order == expected_order
    
    def test_basic_steps_data_parameter_handling(self):
        """Test that BasicStepsMixin handles data parameter correctly."""
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        class TestClass(BasicStepsMixin):
            def __init__(self):
                self.raw = create_synthetic_raw()
                self.received_data = None
            
            def _get_data_object(self, data=None, use_epochs=False):
                self.received_data = data
                return data if data is not None else self.raw
            
            def resample_data(self, data=None, use_epochs=False):
                return data
            
            def filter_data(self, data=None, use_epochs=False):
                return data
            
            def drop_outerlayer_channels(self, data=None, use_epochs=False):
                return data
            
            def assign_eog_channels(self, data=None, use_epochs=False):
                return data
            
            def trim_edges(self, data=None, use_epochs=False):
                return data
            
            def crop_duration(self, data=None, use_epochs=False):
                return data
        
        test_instance = TestClass()
        
        # Test with explicit data parameter
        custom_raw = create_synthetic_raw(duration=5.0)
        result = test_instance.run_basic_steps(data=custom_raw)
        
        assert test_instance.received_data == custom_raw
        assert result == custom_raw


@pytest.mark.skipif(not SIGNAL_PROCESSING_AVAILABLE, reason="Signal processing mixins not available")
class TestICAMixin:
    """Test the ICAMixin functionality."""
    
    def test_ica_mixin_interface(self):
        """Test that ICAMixin has expected interface."""
        from autoclean.mixins.signal_processing.ica import ICAMixin
        
        # Should have ICA-related methods
        expected_methods = ['run_ica', 'apply_ica']
        for method in expected_methods:
            if hasattr(ICAMixin, method):
                assert callable(getattr(ICAMixin, method))
    
    def test_ica_mixin_inheritance(self):
        """Test ICAMixin can be inherited."""
        from autoclean.mixins.signal_processing.ica import ICAMixin
        
        class TestClass(ICAMixin):
            def __init__(self):
                self.raw = create_synthetic_raw()
                self.ica = None
        
        test_instance = TestClass()
        assert isinstance(test_instance, ICAMixin)
    
    @patch('mne.preprocessing.ICA')
    def test_ica_mixin_mock_functionality(self, mock_ica_class):
        """Test ICAMixin functionality with mocked ICA."""
        from autoclean.mixins.signal_processing.ica import ICAMixin
        
        # Mock ICA object
        mock_ica = MockOperations.mock_ica_fit(create_synthetic_raw(), n_components=15)
        mock_ica_class.return_value = mock_ica
        
        class TestClass(ICAMixin):
            def __init__(self):
                self.raw = create_synthetic_raw()
                self.ica = None
                self.config = {
                    "tasks": {
                        "test": {
                            "settings": {
                                "ICA": {
                                    "enabled": True,
                                    "value": {
                                        "method": "picard",
                                        "n_components": 15
                                    }
                                }
                            }
                        }
                    }
                }
        
        test_instance = TestClass()
        
        # Test that ICA methods exist and can be mocked
        if hasattr(test_instance, 'run_ica'):
            # Mock the method to avoid heavy computation
            with patch.object(test_instance, 'run_ica', return_value=test_instance) as mock_run:
                result = test_instance.run_ica()
                mock_run.assert_called_once()


class TestSignalProcessingMixinsMocked:
    """Test signal processing mixins with heavy mocking."""
    
    def test_basic_steps_mixin_mocked(self):
        """Test BasicStepsMixin with complete mocking."""
        # Mock the entire mixin
        mock_mixin = Mock()
        mock_mixin.run_basic_steps.return_value = create_synthetic_raw()
        
        # Test interface
        result = mock_mixin.run_basic_steps()
        mock_mixin.run_basic_steps.assert_called_once()
        EEGAssertions.assert_raw_properties(result)
    
    def test_ica_mixin_mocked(self):
        """Test ICAMixin with complete mocking."""
        # Mock the entire mixin
        mock_mixin = Mock()
        mock_mixin.run_ica.return_value = Mock()
        mock_mixin.apply_ica.return_value = create_synthetic_raw()
        
        # Test interface
        mock_mixin.run_ica()
        result = mock_mixin.apply_ica()
        
        mock_mixin.run_ica.assert_called_once()
        mock_mixin.apply_ica.assert_called_once()
        EEGAssertions.assert_raw_properties(result)
    
    def test_signal_processing_pipeline_mocked(self):
        """Test signal processing pipeline with mocked components."""
        # Mock a complete signal processing pipeline
        mock_pipeline = Mock()
        
        # Mock sequential processing
        raw_data = create_synthetic_raw()
        mock_pipeline.run_basic_steps.return_value = raw_data
        mock_pipeline.run_ica.return_value = mock_pipeline
        mock_pipeline.apply_ica.return_value = raw_data
        
        # Test pipeline execution
        result = mock_pipeline.run_basic_steps()
        mock_pipeline.run_ica()
        final_result = mock_pipeline.apply_ica()
        
        # Verify calls
        mock_pipeline.run_basic_steps.assert_called_once()
        mock_pipeline.run_ica.assert_called_once()
        mock_pipeline.apply_ica.assert_called_once()
        
        # Verify results
        EEGAssertions.assert_raw_properties(result)
        EEGAssertions.assert_raw_properties(final_result)


class TestSignalProcessingMixinsConceptual:
    """Conceptual tests for signal processing mixins design."""
    
    def test_signal_processing_design_patterns(self):
        """Test that signal processing mixins follow good design patterns."""
        if not SIGNAL_PROCESSING_AVAILABLE:
            pytest.skip("Signal processing mixins not available")
        
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        # Mixin pattern - should not be instantiated directly
        # but should provide functionality when mixed in
        assert hasattr(BasicStepsMixin, 'run_basic_steps')
        
        # Should be designed for composition
        class ComposedClass(BasicStepsMixin):
            pass
        
        assert issubclass(ComposedClass, BasicStepsMixin)
    
    def test_signal_processing_modularity(self):
        """Test signal processing modularity concept."""
        if not SIGNAL_PROCESSING_AVAILABLE:
            pytest.skip("Signal processing mixins not available")
        
        # Different mixins should handle different concerns
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        # BasicStepsMixin should handle basic preprocessing
        assert 'basic_steps' in BasicStepsMixin.__module__
        
        # Each mixin should be focused on its domain
        assert 'BasicSteps' in BasicStepsMixin.__name__
    
    def test_signal_processing_extensibility(self):
        """Test signal processing extensibility concept."""
        if not SIGNAL_PROCESSING_AVAILABLE:
            pytest.skip("Signal processing mixins not available")
        
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        # Should be extensible through inheritance
        class CustomBasicSteps(BasicStepsMixin):
            def custom_step(self):
                return "custom processing"
        
        # Should maintain original functionality
        assert hasattr(CustomBasicSteps, 'run_basic_steps')
        # Should add new functionality
        assert hasattr(CustomBasicSteps, 'custom_step')


# Error handling tests
class TestSignalProcessingMixinsErrorHandling:
    """Test signal processing mixins error handling."""
    
    @pytest.mark.skipif(not SIGNAL_PROCESSING_AVAILABLE, reason="Signal processing mixins not available")
    def test_basic_steps_error_handling(self):
        """Test BasicStepsMixin error handling."""
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        class FailingClass(BasicStepsMixin):
            def _get_data_object(self, data=None, use_epochs=False):
                raise ValueError("No data available")
            
            def resample_data(self, data=None, use_epochs=False):
                return data
        
        test_instance = FailingClass()
        
        # Should propagate errors appropriately
        with pytest.raises(ValueError, match="No data available"):
            test_instance.run_basic_steps()
    
    @pytest.mark.skipif(not SIGNAL_PROCESSING_AVAILABLE, reason="Signal processing mixins not available")
    def test_missing_method_error_handling(self):
        """Test error handling when required methods are missing."""
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        class IncompleteClass(BasicStepsMixin):
            # Missing required methods
            pass
        
        test_instance = IncompleteClass()
        
        # Should raise AttributeError for missing methods
        with pytest.raises(AttributeError):
            test_instance.run_basic_steps()
    
    def test_invalid_data_handling(self):
        """Test handling of invalid data types."""
        if not SIGNAL_PROCESSING_AVAILABLE:
            pytest.skip("Signal processing mixins not available")
        
        from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
        
        class TestClass(BasicStepsMixin):
            def _get_data_object(self, data=None, use_epochs=False):
                return "invalid_data_type"  # Not a Raw object
            
            def resample_data(self, data=None, use_epochs=False):
                if not hasattr(data, 'info'):
                    raise TypeError("Expected Raw object")
                return data
        
        test_instance = TestClass()
        
        # Should handle invalid data types appropriately
        with pytest.raises(TypeError, match="Expected Raw object"):
            test_instance.run_basic_steps()


# Performance and optimization tests
class TestSignalProcessingMixinsPerformance:
    """Test signal processing mixins performance considerations."""
    
    def test_basic_steps_performance_mocked(self):
        """Test BasicStepsMixin performance with mocked operations."""
        # This tests that the mixin doesn't add significant overhead
        mock_raw = create_synthetic_raw()
        
        call_count = 0
        
        def mock_step(data=None, use_epochs=False):
            nonlocal call_count
            call_count += 1
            return data if data is not None else mock_raw
        
        if SIGNAL_PROCESSING_AVAILABLE:
            from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
            
            class FastTestClass(BasicStepsMixin):
                def __init__(self):
                    self.raw = mock_raw
                
                def _get_data_object(self, data=None, use_epochs=False):
                    return data if data is not None else self.raw
                
                resample_data = mock_step
                filter_data = mock_step
                drop_outerlayer_channels = mock_step
                assign_eog_channels = mock_step
                trim_edges = mock_step
                crop_duration = mock_step
            
            test_instance = FastTestClass()
            result = test_instance.run_basic_steps()
            
            # Should call all steps exactly once
            assert call_count == 6  # 6 basic steps
            assert result == mock_raw
    
    def test_mixin_memory_efficiency(self):
        """Test that mixins don't create memory leaks."""
        # Test that mixin instances can be garbage collected
        if SIGNAL_PROCESSING_AVAILABLE:
            from autoclean.mixins.signal_processing.basic_steps import BasicStepsMixin
            
            class TestClass(BasicStepsMixin):
                def __init__(self):
                    self.raw = create_synthetic_raw()
            
            # Create and delete instances
            instances = [TestClass() for _ in range(10)]
            del instances
            
            # Should not cause memory issues
            assert True  # If we get here, no memory errors occurred