From fe39aaf795a454e26469a3384fde0f9981db77a2 Mon Sep 17 00:00:00 2001 From: llbbl Date: Fri, 27 Jun 2025 14:45:45 -0500 Subject: [PATCH] feat: Set up comprehensive Python testing infrastructure with Poetry - Migrate from setup.py to Poetry for dependency management - Add pytest, pytest-cov, and pytest-mock as dev dependencies - Configure pytest with coverage reporting (HTML/XML outputs) - Create test directory structure (unit/integration) - Add comprehensive test fixtures in conftest.py - Update .gitignore with testing and Claude-related entries - Add Poetry scripts for running tests (test/tests commands) - Include validation tests to verify infrastructure setup --- .gitignore | 44 + poetry.lock | 8109 ++++++++++++++++++++++++++++++++ pyproject.toml | 161 + tests/__init__.py | 0 tests/conftest.py | 182 + tests/integration/__init__.py | 0 tests/test_setup_validation.py | 169 + tests/unit/__init__.py | 0 8 files changed, 8665 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 f477565..0665158 100644 --- a/.gitignore +++ b/.gitignore @@ -14,3 +14,47 @@ cache pretrained_enc_ckpts vqgan_jax_weakaug.ckpt imagenet-val + +# Testing and coverage +.pytest_cache/ +.coverage +htmlcov/ +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.tox/ +.nox/ + +# Claude settings +.claude/* + +# Virtual environments +venv/ +ENV/ +env/ +.venv/ + +# Build artifacts +build/ +dist/ +*.egg +*.whl + +# IDE files +.vscode/ +*.swp +*.swo +*~ + +# OS files +.DS_Store +Thumbs.db + +# Logs +*.log + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..bcb86b2 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,8109 @@ +# This file is automatically @generated 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AssertionError", + "raise NotImplementedError", + "if __name__ == .__main__.:", + "if TYPE_CHECKING:", + "if typing.TYPE_CHECKING:", + "@abstractmethod", + "@abc.abstractmethod", +] +precision = 2 +show_missing = true +skip_covered = false + +[tool.coverage.html] +directory = "htmlcov" + +[tool.coverage.xml] +output = "coverage.xml" + +[tool.isort] +profile = "black" +multi_line_output = 3 +include_trailing_comma = true +force_grid_wrap = 0 +use_parentheses = true +ensure_newline_before_comments = true +line_length = 88 +skip_gitignore = true + +[tool.black] +line-length = 88 +target-version = ['py38'] +include = '\.pyi?$' +extend-exclude = ''' +( + /( + \.eggs + | \.git + | \.hg + | \.mypy_cache + | \.tox + | \.venv + | _build + | buck-out + | build + | dist + )/ +) +''' + +[tool.mypy] +python_version = "3.8" +warn_return_any = true +warn_unused_configs = true +disallow_untyped_defs = false +ignore_missing_imports = true + +[build-system] +requires = ["poetry-core>=1.0.0"] +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..e29c6a2 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,182 @@ +"""Shared pytest fixtures and configuration for the RCG project.""" + +import os +import tempfile +from pathlib import Path +from typing import Generator, Dict, Any + +import pytest +import torch +import numpy as np +from omegaconf import OmegaConf, DictConfig + + +@pytest.fixture +def temp_dir() -> Generator[Path, None, None]: + """Create a temporary directory for test files.""" + with tempfile.TemporaryDirectory() as tmp_dir: + yield Path(tmp_dir) + + +@pytest.fixture +def mock_config() -> DictConfig: + """Provide a mock configuration for testing.""" + config = { + "model": { + "name": "test_model", + "hidden_dim": 128, + "num_layers": 2, + "dropout": 0.1, + }, + "training": { + "batch_size": 32, + "learning_rate": 1e-4, + "num_epochs": 10, + "seed": 42, + }, + "data": { + "dataset": "test_dataset", + "num_workers": 2, + "pin_memory": True, + }, + "logging": { + "log_dir": "logs", + "save_interval": 100, + "val_interval": 50, + }, + } + return OmegaConf.create(config) + + +@pytest.fixture +def sample_tensor() -> torch.Tensor: + """Provide a sample tensor for testing.""" + return torch.randn(4, 3, 256, 256) + + +@pytest.fixture +def sample_batch() -> Dict[str, torch.Tensor]: + """Provide a sample batch of data for testing.""" + batch_size = 4 + return { + "images": torch.randn(batch_size, 3, 256, 256), + "labels": torch.randint(0, 10, (batch_size,)), + "masks": torch.ones(batch_size, 1, 256, 256), + } + + +@pytest.fixture +def numpy_random_state(): + """Fixture to ensure reproducible numpy random state.""" + original_state = np.random.get_state() + np.random.seed(42) + yield + np.random.set_state(original_state) + + +@pytest.fixture +def torch_random_state(): + """Fixture to ensure reproducible torch random state.""" + original_state = torch.get_rng_state() + torch.manual_seed(42) + if torch.cuda.is_available(): + original_cuda_state = torch.cuda.get_rng_state() + torch.cuda.manual_seed(42) + yield + torch.set_rng_state(original_state) + if torch.cuda.is_available(): + torch.cuda.set_rng_state(original_cuda_state) + + +@pytest.fixture +def mock_model_checkpoint(temp_dir: Path) -> Path: + """Create a mock model checkpoint file.""" + checkpoint_path = temp_dir / "model_checkpoint.pt" + checkpoint = { + "epoch": 10, + "model_state_dict": {"layer1.weight": torch.randn(10, 10)}, + "optimizer_state_dict": {"param_groups": [{"lr": 0.001}]}, + "loss": 0.5, + } + torch.save(checkpoint, checkpoint_path) + return checkpoint_path + + +@pytest.fixture +def mock_image_file(temp_dir: Path) -> Path: + """Create a mock image file for testing.""" + import numpy as np + from PIL import Image + + image_path = temp_dir / "test_image.png" + image_array = np.random.randint(0, 255, (256, 256, 3), dtype=np.uint8) + image = Image.fromarray(image_array) + image.save(image_path) + return image_path + + +@pytest.fixture +def device() -> torch.device: + """Return the appropriate device for testing.""" + return torch.device("cuda" if torch.cuda.is_available() else "cpu") + + +@pytest.fixture(autouse=True) +def cleanup_cuda(): + """Automatically clean up CUDA cache after each test.""" + yield + if torch.cuda.is_available(): + torch.cuda.empty_cache() + + +@pytest.fixture +def mock_environment_variables() -> Generator[Dict[str, str], None, None]: + """Temporarily set environment variables for testing.""" + original_env = os.environ.copy() + test_env = { + "CUDA_VISIBLE_DEVICES": "0", + "OMP_NUM_THREADS": "1", + "PYTHONPATH": str(Path(__file__).parent.parent), + } + os.environ.update(test_env) + yield test_env + os.environ.clear() + os.environ.update(original_env) + + +@pytest.fixture +def capture_logs(caplog): + """Fixture to capture and assert on log messages.""" + with caplog.at_level("DEBUG"): + yield caplog + + +def pytest_configure(config): + """Configure pytest with custom markers and settings.""" + config.addinivalue_line( + "markers", "gpu: marks tests that require GPU (deselect with '-m \"not gpu\"')" + ) + config.addinivalue_line( + "markers", "slow: marks tests as slow (deselect with '-m \"not slow\"')" + ) + config.addinivalue_line( + "markers", "unit: marks tests as unit tests" + ) + config.addinivalue_line( + "markers", "integration: marks tests as integration tests" + ) + + +def pytest_collection_modifyitems(config, items): + """Modify test collection to add markers based on test location.""" + for item in items: + # Add markers based on test file location + if "unit" in str(item.fspath): + item.add_marker(pytest.mark.unit) + elif "integration" in str(item.fspath): + item.add_marker(pytest.mark.integration) + + # Skip GPU tests if CUDA is not available + if "gpu" in item.keywords and not torch.cuda.is_available(): + skip_gpu = pytest.mark.skip(reason="GPU not available") + item.add_marker(skip_gpu) \ 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..3fb6a3d --- /dev/null +++ b/tests/test_setup_validation.py @@ -0,0 +1,169 @@ +"""Validation tests to ensure the testing infrastructure is properly set up.""" + +import pytest +import torch +from pathlib import Path +from omegaconf import DictConfig + + +class TestInfrastructureValidation: + """Test class to validate the testing infrastructure setup.""" + + def test_pytest_installation(self): + """Test that pytest is properly installed.""" + assert pytest.__version__ is not None + + def test_pytest_cov_available(self): + """Test that pytest-cov plugin is available.""" + import pytest_cov + assert pytest_cov.__version__ is not None + + def test_pytest_mock_available(self): + """Test that pytest-mock is available.""" + import pytest_mock + # pytest-mock doesn't expose __version__, so check it can be imported + assert pytest_mock is not None + + def test_temp_dir_fixture(self, temp_dir): + """Test that temp_dir fixture creates a valid temporary directory.""" + assert isinstance(temp_dir, Path) + assert temp_dir.exists() + assert temp_dir.is_dir() + + # Test file creation in temp dir + test_file = temp_dir / "test.txt" + test_file.write_text("test content") + assert test_file.exists() + assert test_file.read_text() == "test content" + + def test_mock_config_fixture(self, mock_config): + """Test that mock_config fixture provides valid configuration.""" + assert isinstance(mock_config, DictConfig) + assert "model" in mock_config + assert "training" in mock_config + assert "data" in mock_config + assert mock_config.training.batch_size == 32 + assert mock_config.model.name == "test_model" + + def test_sample_tensor_fixture(self, sample_tensor): + """Test that sample_tensor fixture provides valid tensor.""" + assert isinstance(sample_tensor, torch.Tensor) + assert sample_tensor.shape == (4, 3, 256, 256) + assert sample_tensor.dtype == torch.float32 + + def test_sample_batch_fixture(self, sample_batch): + """Test that sample_batch fixture provides valid batch data.""" + assert isinstance(sample_batch, dict) + assert "images" in sample_batch + assert "labels" in sample_batch + assert "masks" in sample_batch + + assert sample_batch["images"].shape == (4, 3, 256, 256) + assert sample_batch["labels"].shape == (4,) + assert sample_batch["masks"].shape == (4, 1, 256, 256) + + def test_numpy_random_state_fixture(self, numpy_random_state): + """Test that numpy random state fixture ensures reproducibility.""" + import numpy as np + + # First run + values1 = [np.random.rand() for _ in range(5)] + + # Reset seed manually + np.random.seed(42) + + # Second run + values2 = [np.random.rand() for _ in range(5)] + + # Should produce same values + assert values1 == values2 + + def test_torch_random_state_fixture(self, torch_random_state): + """Test that torch random state fixture ensures reproducibility.""" + # First run + tensor1 = torch.randn(3, 3) + + # Reset seed manually + torch.manual_seed(42) + + # Second run + tensor2 = torch.randn(3, 3) + + # Should produce same tensor + assert torch.allclose(tensor1, tensor2) + + def test_mock_model_checkpoint_fixture(self, mock_model_checkpoint): + """Test that mock_model_checkpoint creates valid checkpoint file.""" + assert mock_model_checkpoint.exists() + assert mock_model_checkpoint.suffix == ".pt" + + # Load and verify checkpoint + checkpoint = torch.load(mock_model_checkpoint) + assert "epoch" in checkpoint + assert "model_state_dict" in checkpoint + assert "optimizer_state_dict" in checkpoint + assert "loss" in checkpoint + assert checkpoint["epoch"] == 10 + + def test_device_fixture(self, device): + """Test that device fixture returns valid torch device.""" + assert isinstance(device, torch.device) + assert device.type in ["cpu", "cuda"] + + @pytest.mark.unit + def test_unit_marker(self): + """Test that unit marker is properly configured.""" + assert True + + @pytest.mark.integration + def test_integration_marker(self): + """Test that integration marker is properly configured.""" + assert True + + @pytest.mark.slow + def test_slow_marker(self): + """Test that slow marker is properly configured.""" + import time + time.sleep(0.1) # Simulate slow test + assert True + + def test_coverage_configuration(self): + """Test that coverage is properly configured.""" + # This test verifies coverage is running by its mere existence + assert True + + def test_mock_image_file_fixture(self, mock_image_file): + """Test that mock_image_file creates valid image file.""" + assert mock_image_file.exists() + assert mock_image_file.suffix == ".png" + + # Verify it's a valid image + from PIL import Image + img = Image.open(mock_image_file) + assert img.size == (256, 256) + assert img.mode == "RGB" + + +@pytest.mark.parametrize("value,expected", [ + (1, 1), + (2, 4), + (3, 9), + (4, 16), +]) +def test_parametrize_decorator(value, expected): + """Test that parametrize decorator works correctly.""" + assert value ** 2 == expected + + +def test_capture_logs_fixture(capture_logs): + """Test that capture_logs fixture works correctly.""" + import logging + + logger = logging.getLogger(__name__) + logger.debug("Debug message") + logger.info("Info message") + logger.warning("Warning message") + + assert "Debug message" in capture_logs.text + assert "Info message" in capture_logs.text + assert "Warning message" in capture_logs.text \ 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