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

from unittest.mock import Mock, patch

import pytest

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

# 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
    BasicStepsMixin = None
    ICAMixin = None


@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": None},
                        },
                        "drop_outerlayer": {"enabled": False, "value": []},
                        "eog_step": {"enabled": False, "value": []},
                    }
                }
            }
        }

    def test_basic_steps_mixin_interface(self):
        """Test that BasicStepsMixin has expected interface."""

        # 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."""

        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."""

        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."""

        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."""

        # 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."""

        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."""

        # 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": "infomax", "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")

        # BasicStepsMixin already imported at module level

        # 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
        # BasicStepsMixin already imported at module level

        # 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")

        # BasicStepsMixin already imported at module level

        # 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."""

        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."""

        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")

        # BasicStepsMixin already imported at module level

        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:
            # BasicStepsMixin already imported at module level

            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:
            # BasicStepsMixin already imported at module level

            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
