From 0a1974710797396cbdca88b99d3454cc2af4dc4d Mon Sep 17 00:00:00 2001 From: llbbl Date: Thu, 26 Jun 2025 14:09:26 -0500 Subject: [PATCH] feat: add comprehensive testing infrastructure with Poetry - Set up Poetry as package manager with pyproject.toml configuration - Add pytest, pytest-cov, and pytest-mock as dev dependencies - Configure pytest with markers (unit, integration, slow) and coverage settings - Create tests directory structure with conftest.py containing shared fixtures - Add validation tests to verify infrastructure setup - Update .gitignore with testing and build artifacts - Configure Poetry scripts for running tests with 'poetry run test[s]' --- .gitignore | 47 ++ poetry.lock | 1254 ++++++++++++++++++++++++++++++++ pyproject.toml | 82 +++ tests/__init__.py | 0 tests/conftest.py | 172 +++++ tests/integration/__init__.py | 0 tests/test_setup_validation.py | 125 ++++ tests/unit/__init__.py | 0 8 files changed, 1680 insertions(+) create mode 100644 poetry.lock create mode 100644 pyproject.toml create mode 100644 tests/__init__.py create mode 100644 tests/conftest.py create mode 100644 tests/integration/__init__.py create mode 100644 tests/test_setup_validation.py create mode 100644 tests/unit/__init__.py diff --git a/.gitignore b/.gitignore index 790d58d..e23469b 100644 --- a/.gitignore +++ b/.gitignore @@ -8,3 +8,50 @@ dataset/* .ipynb_checkpoints code/chapter03_object_detection_introduction/tiny_detector_demo/checkpoint.pth.tar code/chapter03_object_detection_introduction/tiny_detector_demo/checkpoint_ssd300.pth.tar + +# Testing related +.pytest_cache/ +.coverage +htmlcov/ +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.tox/ +.nox/ + +# Claude settings +.claude/* + +# Build artifacts +dist/ +build/ +*.egg-info/ +*.egg +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.manifest +*.spec + +# Virtual environments +venv/ +ENV/ +env/ +.venv/ +.env + +# IDE files +.vscode/ +*.swp +*.swo +*~ +.project +.pydevproject +.settings/ + +# Package manager files +# Note: Do NOT ignore poetry.lock or uv.lock +__pycache__/ +*.py[cod] +*$py.class diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..3381ee9 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,1254 @@ +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. + +[[package]] +name = "certifi" +version = "2025.6.15" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057"}, + {file = "certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b"}, +] + +[[package]] +name = "charset-normalizer" +version = "3.4.2" +description = "The Real First Universal Charset Detector. 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+python_files = ["test_*.py", "*_test.py"] +python_classes = ["Test*"] +python_functions = ["test_*"] +addopts = [ + "-ra", + "--strict-markers", + "--strict-config", + "--cov=code", + "--cov-branch", + "--cov-report=term-missing:skip-covered", + "--cov-report=html:htmlcov", + "--cov-report=xml:coverage.xml", + "--cov-fail-under=0", +] +markers = [ + "unit: Unit tests", + "integration: Integration tests", + "slow: Slow running tests", +] + +[tool.coverage.run] +source = ["code"] +branch = true +parallel = true +omit = [ + "*/tests/*", + "*/__pycache__/*", + "*/site-packages/*", + "*/dist-packages/*", + "*/.venv/*", + "*/venv/*", +] + +[tool.coverage.report] +exclude_lines = [ + "pragma: no cover", + "def __repr__", + "def __str__", + "raise AssertionError", + "raise NotImplementedError", + "if __name__ == .__main__.:", + "if TYPE_CHECKING:", + "if typing.TYPE_CHECKING:", +] +precision = 2 +show_missing = true +skip_covered = false + +[tool.coverage.html] +directory = "htmlcov" + +[tool.coverage.xml] +output = "coverage.xml" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" \ 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..f69ee26 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,172 @@ +import os +import tempfile +import shutil +from pathlib import Path +from typing import Generator, Dict, Any + +import pytest +import torch + + +@pytest.fixture +def temp_dir() -> Generator[Path, None, None]: + """ + Create a temporary directory for test files. + + Yields: + Path: Path to the temporary directory + """ + temp_path = tempfile.mkdtemp() + yield Path(temp_path) + shutil.rmtree(temp_path) + + +@pytest.fixture +def sample_config() -> Dict[str, Any]: + """ + Provide a sample configuration dictionary for testing. + + Returns: + Dict[str, Any]: Sample configuration + """ + return { + "model": { + "name": "test_model", + "num_classes": 10, + "input_size": 224, + "channels": 3, + }, + "training": { + "batch_size": 32, + "learning_rate": 0.001, + "epochs": 10, + "device": "cpu", + }, + "data": { + "train_path": "/path/to/train", + "val_path": "/path/to/val", + "test_path": "/path/to/test", + } + } + + +@pytest.fixture +def mock_dataset_path(temp_dir: Path) -> Path: + """ + Create a mock dataset directory structure. + + Args: + temp_dir: Temporary directory fixture + + Returns: + Path: Path to the mock dataset + """ + dataset_path = temp_dir / "mock_dataset" + + # Create subdirectories + for split in ["train", "val", "test"]: + split_dir = dataset_path / split + split_dir.mkdir(parents=True, exist_ok=True) + + # Create some mock class directories + for class_idx in range(3): + class_dir = split_dir / f"class_{class_idx}" + class_dir.mkdir(exist_ok=True) + + # Create mock image files + for img_idx in range(2): + img_file = class_dir / f"image_{img_idx}.jpg" + img_file.touch() + + return dataset_path + + +@pytest.fixture +def sample_tensor() -> torch.Tensor: + """ + Create a sample tensor for testing. + + Returns: + torch.Tensor: A sample 4D tensor (batch, channels, height, width) + """ + return torch.randn(4, 3, 224, 224) + + +@pytest.fixture +def sample_labels() -> torch.Tensor: + """ + Create sample labels for testing. + + Returns: + torch.Tensor: A sample label tensor + """ + return torch.randint(0, 10, (4,)) + + +@pytest.fixture +def device() -> torch.device: + """ + Get the appropriate device for testing. + + Returns: + torch.device: CPU device for consistent testing + """ + return torch.device("cpu") + + +@pytest.fixture(autouse=True) +def reset_random_seeds(): + """ + Reset random seeds before each test for reproducibility. + """ + torch.manual_seed(42) + if torch.cuda.is_available(): + torch.cuda.manual_seed_all(42) + + +@pytest.fixture +def mock_model_checkpoint(temp_dir: Path) -> Dict[str, Any]: + """ + Create a mock model checkpoint. + + Args: + temp_dir: Temporary directory fixture + + Returns: + Dict[str, Any]: Mock checkpoint data + """ + checkpoint = { + "epoch": 5, + "model_state_dict": {"layer1.weight": torch.randn(10, 10)}, + "optimizer_state_dict": {"param_groups": [{"lr": 0.001}]}, + "loss": 0.1234, + "accuracy": 0.95, + } + + checkpoint_path = temp_dir / "checkpoint.pth" + torch.save(checkpoint, checkpoint_path) + + return { + "path": checkpoint_path, + "data": checkpoint + } + + +@pytest.fixture +def capture_stdout(monkeypatch): + """ + Capture stdout for testing print statements. + + Args: + monkeypatch: pytest monkeypatch fixture + + Returns: + list: List to collect stdout outputs + """ + outputs = [] + + def mock_print(*args, **kwargs): + outputs.append(" ".join(map(str, args))) + + monkeypatch.setattr("builtins.print", mock_print) + return outputs \ 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_setup_validation.py b/tests/test_setup_validation.py new file mode 100644 index 0000000..16143c1 --- /dev/null +++ b/tests/test_setup_validation.py @@ -0,0 +1,125 @@ +""" +Validation tests to ensure the testing infrastructure is properly set up. +""" + +import pytest +import torch +from pathlib import Path + + +class TestInfrastructureSetup: + """Test class to validate the testing infrastructure.""" + + def test_pytest_is_working(self): + """Verify that pytest is running correctly.""" + assert True + + def test_fixtures_are_available(self, temp_dir, sample_config): + """Verify that custom fixtures are accessible.""" + assert isinstance(temp_dir, Path) + assert temp_dir.exists() + assert isinstance(sample_config, dict) + assert "model" in sample_config + + def test_torch_is_imported(self): + """Verify that PyTorch can be imported.""" + assert torch.__version__ + tensor = torch.tensor([1, 2, 3]) + assert tensor.shape == (3,) + + def test_markers_are_registered(self): + """Verify that custom markers are properly registered.""" + # This test itself uses the markers to verify they work + pass + + @pytest.mark.unit + def test_unit_marker(self): + """Test that unit marker works.""" + assert True + + @pytest.mark.integration + def test_integration_marker(self): + """Test that integration marker works.""" + assert True + + @pytest.mark.slow + def test_slow_marker(self): + """Test that slow marker works.""" + assert True + + def test_mock_dataset_fixture(self, mock_dataset_path): + """Test the mock dataset fixture creates proper structure.""" + assert mock_dataset_path.exists() + + for split in ["train", "val", "test"]: + split_dir = mock_dataset_path / split + assert split_dir.exists() + assert split_dir.is_dir() + + # Check that class directories exist + class_dirs = list(split_dir.iterdir()) + assert len(class_dirs) == 3 + + # Check that images exist in each class + for class_dir in class_dirs: + images = list(class_dir.iterdir()) + assert len(images) == 2 + + def test_tensor_fixtures(self, sample_tensor, sample_labels): + """Test tensor fixtures are created correctly.""" + assert sample_tensor.shape == (4, 3, 224, 224) + assert sample_labels.shape == (4,) + assert sample_labels.dtype == torch.long + + def test_checkpoint_fixture(self, mock_model_checkpoint): + """Test the checkpoint fixture creates valid checkpoint.""" + assert "path" in mock_model_checkpoint + assert "data" in mock_model_checkpoint + + checkpoint_path = mock_model_checkpoint["path"] + assert checkpoint_path.exists() + + # Load and verify checkpoint + loaded = torch.load(checkpoint_path) + assert loaded["epoch"] == 5 + assert "model_state_dict" in loaded + assert "optimizer_state_dict" in loaded + + def test_device_fixture(self, device): + """Test device fixture returns CPU device.""" + assert device.type == "cpu" + + def test_random_seed_fixture(self): + """Test that random seeds are reset between tests.""" + # Generate random numbers + random1 = torch.rand(5) + + # The fixture should ensure reproducibility + torch.manual_seed(42) + random2 = torch.rand(5) + + assert torch.allclose(random1, random2) + + def test_capture_stdout_fixture(self, capture_stdout): + """Test stdout capture fixture.""" + print("Test output 1") + print("Test output 2") + + assert len(capture_stdout) == 2 + assert capture_stdout[0] == "Test output 1" + assert capture_stdout[1] == "Test output 2" + + +class TestCoverageConfiguration: + """Test coverage configuration is working.""" + + def test_coverage_is_collected(self): + """Verify coverage collection is enabled.""" + # This test runs to ensure coverage is being collected + assert True + + def test_source_directory_exists(self): + """Verify the source directory for coverage exists.""" + code_dir = Path("code") + assert code_dir.exists() + assert code_dir.is_dir() \ 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