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+[tool.poetry] +name = "person-reid-research" +version = "0.1.0" +description = "Person Re-identification Research Project" +authors = ["Your Name "] +packages = [{include = "core"}, {include = "tools"}] + +[tool.poetry.dependencies] +python = "^3.7" + +[tool.poetry.group.dev.dependencies] +pytest = "^7.0.0" +pytest-cov = "^4.0.0" +pytest-mock = "^3.10.0" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.pytest.ini_options] +testpaths = ["tests"] +python_files = ["test_*.py", "*_test.py"] +python_classes = ["Test*"] +python_functions = ["test_*"] +addopts = [ + "--strict-markers", + "--strict-config", + "--verbose", + "--cov=core", + "--cov=tools", + "--cov-report=term-missing", + "--cov-report=html:htmlcov", + "--cov-report=xml:coverage.xml", + "--cov-fail-under=80", +] +markers = [ + "unit: Unit tests", + "integration: Integration tests", + "slow: Slow tests", +] + +[tool.coverage.run] +source = ["core", "tools"] +omit = [ + "*/tests/*", + "*/test_*", + "*/__pycache__/*", + "*/migrations/*", + "*/venv/*", + "*/virtualenv/*", + "*/.venv/*", + "*/.tox/*", + "*/build/*", + "*/dist/*", +] + +[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" \ No newline at end of file diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..0acdc77 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,160 @@ +""" +Shared pytest fixtures for the Person ReID testing suite. +""" +import os +import tempfile +import shutil +from pathlib import Path +import pytest +from unittest.mock import Mock, MagicMock + + +@pytest.fixture +def temp_dir(): + """Create a temporary directory for testing.""" + temp_path = tempfile.mkdtemp() + yield temp_path + shutil.rmtree(temp_path, ignore_errors=True) + + +@pytest.fixture +def temp_file(): + """Create a temporary file for testing.""" + with tempfile.NamedTemporaryFile(delete=False) as tmp: + temp_path = tmp.name + yield temp_path + try: + os.unlink(temp_path) + except FileNotFoundError: + pass + + +@pytest.fixture +def mock_config(): + """Mock configuration object for testing.""" + config = Mock() + config.cuda = 'cuda' + config.mode = 'train' + config.output_path = '/tmp/test_output' + config.market_path = '/tmp/market' + config.duke_path = '/tmp/duke' + config.train_dataset = 'market' + config.test_dataset = 'market' + config.image_size = [384, 192] + config.mis_align_ratio = 0.05 + config.use_rea = True + config.p = 18 + config.k = 4 + config.part_num = 6 + config.pid_num = 751 + config.margin = 0.3 + config.milestones = [50, 80, 100] + config.base_learning_rate = 0.5 + config.total_train_epochs = 120 + config.auto_resume_training_from_lastest_steps = True + config.max_save_model_num = 1 + config.resume_test_model = '/path/to/model.pth' + config.test_mode = 'inter-camera' + config.resume_visualize_model = '/path/to/model.pkl' + config.visualize_dataset = 'market' + config.visualize_mode = 'inter-camera' + config.visualize_output_path = '/tmp/visualization' + return config + + +@pytest.fixture +def mock_dataset_paths(temp_dir): + """Create mock dataset directory structure.""" + market_path = Path(temp_dir) / "market" + duke_path = Path(temp_dir) / "duke" + + # Create basic directory structure + for dataset_path in [market_path, duke_path]: + dataset_path.mkdir(exist_ok=True) + (dataset_path / "bounding_box_train").mkdir(exist_ok=True) + (dataset_path / "bounding_box_test").mkdir(exist_ok=True) + (dataset_path / "query").mkdir(exist_ok=True) + + return { + 'market': str(market_path), + 'duke': str(duke_path) + } + + +@pytest.fixture +def mock_model(): + """Mock neural network model for testing.""" + model = MagicMock() + model.eval.return_value = model + model.train.return_value = model + model.cuda.return_value = model + model.parameters.return_value = [] + return model + + +@pytest.fixture +def mock_dataloader(): + """Mock dataloader for testing.""" + loader = MagicMock() + loader.__iter__ = MagicMock(return_value=iter([])) + loader.__len__ = MagicMock(return_value=0) + return loader + + +@pytest.fixture +def mock_optimizer(): + """Mock optimizer for testing.""" + optimizer = MagicMock() + optimizer.zero_grad = MagicMock() + optimizer.step = MagicMock() + optimizer.state_dict = MagicMock(return_value={}) + optimizer.load_state_dict = MagicMock() + return optimizer + + +@pytest.fixture +def mock_logger(): + """Mock logger for testing.""" + logger = MagicMock() + logger.info = MagicMock() + logger.error = MagicMock() + logger.warning = MagicMock() + return logger + + +@pytest.fixture(autouse=True) +def reset_environment(): + """Reset environment variables before each test.""" + original_env = os.environ.copy() + yield + os.environ.clear() + os.environ.update(original_env) + + +@pytest.fixture +def sample_image_tensor(): + """Create a sample image tensor for testing.""" + try: + import torch + return torch.randn(3, 384, 192) + except ImportError: + # If torch is not available, return None + return None + + +@pytest.fixture +def sample_batch(): + """Create a sample batch of data for testing.""" + try: + import torch + return { + 'images': torch.randn(32, 3, 384, 192), + 'pids': torch.randint(0, 751, (32,)), + 'camids': torch.randint(0, 6, (32,)) + } + except ImportError: + return { + 'images': None, + 'pids': list(range(32)), + 'camids': list(range(32)) + } \ No newline at end of file diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_infrastructure_validation.py b/tests/test_infrastructure_validation.py new file mode 100644 index 0000000..5b052b1 --- /dev/null +++ b/tests/test_infrastructure_validation.py @@ -0,0 +1,223 @@ +""" +Validation tests to verify that the testing infrastructure is working correctly. +These tests ensure that pytest, coverage, fixtures, and the overall setup are functional. +""" +import pytest +import os +import tempfile +from pathlib import Path + + +def test_pytest_works(): + """Basic test to verify pytest is working.""" + assert True + + +def test_pytest_markers(): + """Test that custom markers are available.""" + assert hasattr(pytest.mark, 'unit') + assert hasattr(pytest.mark, 'integration') + assert hasattr(pytest.mark, 'slow') + + +@pytest.mark.unit +def test_unit_marker(): + """Test with unit marker.""" + assert 1 + 1 == 2 + + +@pytest.mark.integration +def test_integration_marker(): + """Test with integration marker.""" + assert "hello" + " world" == "hello world" + + +@pytest.mark.slow +def test_slow_marker(): + """Test with slow marker.""" + import time + time.sleep(0.01) # Simulate slow test + assert True + + +def test_temp_dir_fixture(temp_dir): + """Test that temp_dir fixture works.""" + assert os.path.exists(temp_dir) + assert os.path.isdir(temp_dir) + + # Create a file in temp dir + test_file = Path(temp_dir) / "test.txt" + test_file.write_text("test content") + + assert test_file.exists() + assert test_file.read_text() == "test content" + + +def test_temp_file_fixture(temp_file): + """Test that temp_file fixture works.""" + # File should not exist yet (created but deleted) + # Write to it to verify the path is valid + with open(temp_file, 'w') as f: + f.write("test content") + + assert os.path.exists(temp_file) + + with open(temp_file, 'r') as f: + content = f.read() + + assert content == "test content" + + +def test_mock_config_fixture(mock_config): + """Test that mock_config fixture works.""" + assert mock_config.cuda == 'cuda' + assert mock_config.mode == 'train' + assert mock_config.p == 18 + assert mock_config.k == 4 + assert mock_config.part_num == 6 + assert mock_config.pid_num == 751 + assert isinstance(mock_config.image_size, list) + assert len(mock_config.image_size) == 2 + + +def test_mock_dataset_paths_fixture(mock_dataset_paths): + """Test that mock_dataset_paths fixture works.""" + assert 'market' in mock_dataset_paths + assert 'duke' in mock_dataset_paths + + market_path = Path(mock_dataset_paths['market']) + duke_path = Path(mock_dataset_paths['duke']) + + assert market_path.exists() + assert duke_path.exists() + + # Check directory structure + for dataset_path in [market_path, duke_path]: + assert (dataset_path / "bounding_box_train").exists() + assert (dataset_path / "bounding_box_test").exists() + assert (dataset_path / "query").exists() + + +def test_mock_model_fixture(mock_model): + """Test that mock_model fixture works.""" + # Test that model methods can be called + result_eval = mock_model.eval() + result_train = mock_model.train() + result_cuda = mock_model.cuda() + + # Should return the model itself for chaining + assert result_eval == mock_model + assert result_train == mock_model + assert result_cuda == mock_model + + # Test that parameters method exists + params = mock_model.parameters() + assert hasattr(mock_model, 'parameters') + + +def test_mock_dataloader_fixture(mock_dataloader): + """Test that mock_dataloader fixture works.""" + assert hasattr(mock_dataloader, '__iter__') + assert hasattr(mock_dataloader, '__len__') + + # Should be iterable + items = list(mock_dataloader) + assert isinstance(items, list) + + +def test_mock_optimizer_fixture(mock_optimizer): + """Test that mock_optimizer fixture works.""" + # Test that optimizer methods exist and can be called + mock_optimizer.zero_grad() + mock_optimizer.step() + + state_dict = mock_optimizer.state_dict() + assert isinstance(state_dict, dict) + + mock_optimizer.load_state_dict({}) + + +def test_mock_logger_fixture(mock_logger): + """Test that mock_logger fixture works.""" + # Test that logger methods can be called + mock_logger.info("test info") + mock_logger.error("test error") + mock_logger.warning("test warning") + + # Verify methods were called + mock_logger.info.assert_called_with("test info") + mock_logger.error.assert_called_with("test error") + mock_logger.warning.assert_called_with("test warning") + + +def test_sample_batch_fixture(sample_batch): + """Test that sample_batch fixture works.""" + assert 'images' in sample_batch + assert 'pids' in sample_batch + assert 'camids' in sample_batch + + # Check that all have the same length (32) + if sample_batch['images'] is not None: + # If torch is available, check tensor shapes + assert sample_batch['images'].shape[0] == 32 + assert sample_batch['pids'].shape[0] == 32 + assert sample_batch['camids'].shape[0] == 32 + else: + # If torch not available, check list lengths + assert len(sample_batch['pids']) == 32 + assert len(sample_batch['camids']) == 32 + + +def test_environment_reset(reset_environment): + """Test that environment reset fixture works.""" + # Set an environment variable + os.environ['TEST_VAR'] = 'test_value' + assert os.environ.get('TEST_VAR') == 'test_value' + # The fixture should reset this after the test + + +class TestInfrastructureIntegration: + """Test class to verify class-based testing works.""" + + def test_class_based_test(self): + """Test that class-based tests work.""" + assert True + + def test_with_fixture_in_class(self, mock_config): + """Test that fixtures work in test classes.""" + assert mock_config.mode == 'train' + + +@pytest.mark.parametrize("input,expected", [ + (1, 2), + (2, 3), + (3, 4), +]) +def test_parametrized_test(input, expected): + """Test that parametrized tests work.""" + assert input + 1 == expected + + +def test_assertion_with_custom_message(): + """Test assertions with custom messages.""" + value = 42 + assert value == 42, f"Expected 42, but got {value}" + + +def test_exception_handling(): + """Test that exception handling works.""" + with pytest.raises(ValueError, match="invalid literal"): + int("not a number") + + +def test_coverage_measurement(): + """Test that will be used to verify coverage measurement.""" + def covered_function(): + return "This function should be covered" + + def uncovered_function(): # pragma: no cover + return "This function should not be covered" + + result = covered_function() + assert result == "This function should be covered" + # Note: we don't call uncovered_function to test coverage exclusion \ No newline at end of file diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py new file mode 100644 index 0000000..e69de29