feat: Set up comprehensive Python testing infrastructure

.gitignore

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+# Testing
+.pytest_cache/
+.coverage
+htmlcov/
+coverage.xml
+.tox/
+.cache
+
+# Claude settings
+.claude/
+
+# Build artifacts
+build/
+dist/
+*.egg-info/
+__pycache__/
+*.py[cod]
+*$py.class
+
+# Virtual environments
+venv/
+env/
+.env
+.venv/
+ENV/
+env.bak/
+venv.bak/
+
+# IDE files
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# OS files
+.DS_Store
+.DS_Store?
+._*
+.Spotlight-V100
+.Trashes
+ehthumbs.db
+Thumbs.db
+
+# Temporary files
+*.tmp
+*.temp
+*.log
+
+# Model files (optional - uncomment if you don't want to track trained models)
+# *.h5
+# *.pkl
+# *.joblib
+
+# Data files (optional - uncomment if you don't want to track data files)
+# *.txt
+# *.csv
+# *.json

pyproject.toml

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+[tool.poetry]
+name = "robotic-hand-emg"
+version = "0.1.0"
+description = "EMG signal processing for robotic hand control using Myo armband"
+authors = ["Your Name <you@example.com>"]
+readme = "README.md"
+package-mode = false
+
+[tool.poetry.dependencies]
+python = ">=3.8,<3.12"
+numpy = "^1.21.0"
+scikit-learn = "^1.1.0"
+matplotlib = "^3.5.0"
+psutil = "^5.9.0"
+pyserial = "^3.5"
+
+[tool.poetry.group.dev.dependencies]
+pytest = "^7.4.0"
+pytest-cov = "^4.1.0"
+pytest-mock = "^3.11.1"
+
+[tool.poetry.scripts]
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.pytest.ini_options]
+minversion = "6.0"
+addopts = [
+    "-ra",
+    "-q",
+    "--strict-markers",
+    "--strict-config",
+    "--cov=tests",
+    "--cov-report=term-missing",
+    "--cov-report=html",
+    "--cov-report=xml",
+    "--cov-fail-under=80"
+]
+testpaths = ["tests"]
+python_files = ["test_*.py", "*_test.py"]
+python_classes = ["Test*"]
+python_functions = ["test_*"]
+markers = [
+    "unit: Unit tests",
+    "integration: Integration tests", 
+    "slow: Slow running tests"
+]
+
+[tool.coverage.run]
+source = ["tests"]
+omit = [
+    "*/site-packages/*",
+    "*/.venv/*",
+    "*/venv/*",
+    "*/__pycache__/*"
+]
+
+[tool.coverage.report]
+exclude_lines = [
+    "pragma: no cover",
+    "def __repr__",
+    "if self.debug:",
+    "if settings.DEBUG",
+    "raise AssertionError",
+    "raise NotImplementedError",
+    "if 0:",
+    "if __name__ == .__main__.:",
+    "class .*\\bProtocol\\):",
+    "@(abc\\.)?abstractmethod"
+]
+show_missing = true
+precision = 2
+
+[tool.coverage.html]
+directory = "htmlcov"
+
+[tool.coverage.xml]
+output = "coverage.xml"

tests/conftest.py

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+import pytest
+import tempfile
+import shutil
+from pathlib import Path
+from unittest.mock import Mock, MagicMock
+import numpy as np
+
+
+@pytest.fixture
+def temp_dir():
+    """Provide a temporary directory for tests."""
+    temp_path = tempfile.mkdtemp()
+    yield Path(temp_path)
+    shutil.rmtree(temp_path)
+
+
+@pytest.fixture
+def sample_emg_data():
+    """Provide sample EMG data for testing."""
+    return np.random.randint(-128, 128, size=(1000, 8))
+
+
+@pytest.fixture
+def mock_myo_device():
+    """Mock Myo device for testing."""
+    mock_device = Mock()
+    mock_device.stream_emg = Mock()
+    return mock_device
+
+
+@pytest.fixture
+def mock_myo_hub():
+    """Mock Myo Hub for testing."""
+    mock_hub = Mock()
+    mock_hub.run = Mock()
+    return mock_hub
+
+
+@pytest.fixture
+def mock_keras_model():
+    """Mock Keras model for testing."""
+    mock_model = Mock()
+    mock_model.predict = Mock(return_value=np.array([[0.1, 0.8, 0.05, 0.03, 0.02]]))
+    mock_model.fit = Mock()
+    mock_model.save = Mock()
+    return mock_model
+
+
+@pytest.fixture
+def mock_serial_port():
+    """Mock serial port for testing."""
+    mock_port = Mock()
+    mock_port.write = Mock()
+    mock_port.readline = Mock(return_value=b'0')
+    mock_port.close = Mock()
+    mock_port.in_waiting = 1
+    return mock_port
+
+
+@pytest.fixture
+def sample_training_labels():
+    """Provide sample training labels."""
+    return np.array([0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4])
+
+
+@pytest.fixture
+def sample_concatenated_array():
+    """Provide sample concatenated array for training."""
+    return np.random.rand(100, 8)
+
+
+@pytest.fixture
+def mock_matplotlib_plt():
+    """Mock matplotlib pyplot for testing."""
+    mock_plt = Mock()
+    mock_plt.plot = Mock()
+    mock_plt.title = Mock()
+    mock_plt.xlabel = Mock()
+    mock_plt.ylabel = Mock()
+    mock_plt.legend = Mock()
+    mock_plt.show = Mock()
+    return mock_plt
+
+
+@pytest.fixture(autouse=True)
+def disable_user_input(monkeypatch):
+    """Automatically disable user input for all tests."""
+    monkeypatch.setattr('builtins.input', lambda _: 'test_user')
+
+
+@pytest.fixture
+def mock_process_manager():
+    """Mock process management utilities."""
+    mock_manager = Mock()
+    mock_manager.check_if_process_running = Mock(return_value=True)
+    mock_manager.restart_process = Mock(return_value=True)
+    return mock_manager
+
+
+@pytest.fixture
+def sample_model_history():
+    """Provide sample training history for testing."""
+    return {
+        'acc': [0.1, 0.3, 0.5, 0.7, 0.9],
+        'val_acc': [0.15, 0.35, 0.45, 0.65, 0.85],
+        'loss': [2.0, 1.5, 1.0, 0.5, 0.2],
+        'val_loss': [1.9, 1.6, 1.2, 0.7, 0.3]
+    }

tests/test_infrastructure_validation.py

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+import pytest
+import numpy as np
+from pathlib import Path
+import tempfile
+import sys
+import os
+
+
+class TestInfrastructureValidation:
+    """Test suite to validate the testing infrastructure setup."""
+
+    def test_pytest_works(self):
+        """Test that pytest is working correctly."""
+        assert True
+
+    def test_numpy_import(self):
+        """Test that numpy can be imported and basic operations work."""
+        arr = np.array([1, 2, 3, 4, 5])
+        assert arr.sum() == 15
+        assert arr.mean() == 3.0
+
+    def test_fixtures_available(self, temp_dir, sample_emg_data):
+        """Test that fixtures from conftest.py are available."""
+        assert temp_dir.exists()
+        assert isinstance(sample_emg_data, np.ndarray)
+        assert sample_emg_data.shape == (1000, 8)
+
+    def test_mock_functionality(self, mock_keras_model):
+        """Test that mock fixtures work correctly."""
+        predictions = mock_keras_model.predict(np.random.rand(1, 8))
+        assert predictions is not None
+        mock_keras_model.predict.assert_called_once()
+
+    @pytest.mark.unit
+    def test_unit_marker(self):
+        """Test that unit test marker works."""
+        assert True
+
+    @pytest.mark.integration 
+    def test_integration_marker(self):
+        """Test that integration test marker works."""
+        assert True
+
+    def test_file_operations(self, temp_dir):
+        """Test file operations in temporary directory."""
+        test_file = temp_dir / "test.txt"
+        test_file.write_text("Hello, testing!")
+        content = test_file.read_text()
+        assert content == "Hello, testing!"
+
+    def test_python_path_includes_project_root(self):
+        """Test that the project root is in Python path for imports."""
+        project_root = Path(__file__).parent.parent
+        assert str(project_root) in sys.path or str(project_root.resolve()) in sys.path
+
+    def test_coverage_configuration(self):
+        """Test that coverage configuration is working."""
+        # This test will only pass if coverage is configured correctly
+        # The actual coverage will be measured when running with --cov
+        assert True
+
+    def test_environment_variables(self):
+        """Test environment handling."""
+        test_var = os.environ.get('TEST_VAR', 'default_value')
+        assert isinstance(test_var, str)
+
+
+class TestDataProcessing:
+    """Test data processing utilities that might be useful for the main code."""
+
+    def test_array_normalization(self, sample_emg_data):
+        """Test basic array normalization."""
+        normalized = (sample_emg_data - sample_emg_data.mean()) / sample_emg_data.std()
+        assert abs(normalized.mean()) < 1e-10  # Should be close to 0
+        assert abs(normalized.std() - 1.0) < 1e-10  # Should be close to 1
+
+    def test_array_reshaping(self, sample_emg_data):
+        """Test array reshaping operations."""
+        # Test flattening
+        flattened = sample_emg_data.flatten()
+        assert flattened.shape == (8000,)
+
+        # Test reshape back
+        reshaped = flattened.reshape(1000, 8)
+        assert reshaped.shape == sample_emg_data.shape
+        assert np.array_equal(reshaped, sample_emg_data)
+
+    def test_batch_processing(self, sample_emg_data):
+        """Test batch processing functionality."""
+        batch_size = 50
+        num_batches = len(sample_emg_data) // batch_size
+
+        batches = []
+        for i in range(num_batches):
+            start_idx = i * batch_size
+            end_idx = start_idx + batch_size
+            batch = sample_emg_data[start_idx:end_idx]
+            batches.append(batch)
+
+        assert len(batches) == num_batches
+        assert all(batch.shape == (batch_size, 8) for batch in batches)
+
+
+@pytest.mark.slow
+class TestSlowOperations:
+    """Test slow operations that might be skipped in quick test runs."""
+
+    def test_large_array_operations(self):
+        """Test operations on large arrays."""
+        large_array = np.random.rand(10000, 100)
+        result = np.dot(large_array.T, large_array)
+        assert result.shape == (100, 100)
+
+    def test_multiple_iterations(self):
+        """Test operations that require multiple iterations."""
+        results = []
+        for i in range(100):
+            arr = np.random.rand(10, 10)
+            eigenvals = np.linalg.eigvals(arr)
+            results.append(eigenvals.max())
+        assert len(results) == 100