feat: add comprehensive testing infrastructure with Poetry

[llbbl]

Add Python Testing Infrastructure

Summary

This PR sets up a complete testing infrastructure for the PyTorch deep learning project using Poetry as the package manager and pytest as the testing framework.

Changes Made

Package Management

• ✅ Added pyproject.toml with Poetry configuration
• ✅ Migrated from requirements-based to Poetry dependency management
• ✅ Added PyTorch and torchvision as main dependencies

Testing Dependencies

• ✅ Added pytest (v7.4.0) - Main testing framework
• ✅ Added pytest-cov (v4.1.0) - Coverage reporting
• ✅ Added pytest-mock (v3.11.1) - Mocking utilities
• All testing dependencies are properly isolated as development dependencies

Testing Configuration

• ✅ Configured pytest with:

  • Test discovery patterns for test_*.py and *_test.py files
  • Coverage settings with HTML and XML report generation
  • Custom markers: unit, integration, slow
  • Strict mode for better error detection

• ✅ Configured coverage with:

  • Source directory targeting the code/ directory
  • Exclusion patterns for test files and virtual environments
  • Branch coverage enabled
  • Multiple report formats (terminal, HTML, XML)

Directory Structure

tests/
├── __init__.py
├── conftest.py              # Shared pytest fixtures
├── test_setup_validation.py # Infrastructure validation tests
├── unit/
│   └── __init__.py
└── integration/
    └── __init__.py

Shared Fixtures (conftest.py)

• temp_dir - Temporary directory management
• sample_config - Mock configuration dictionary
• mock_dataset_path - Creates mock dataset structure
• sample_tensor - Sample PyTorch tensors for testing
• sample_labels - Sample label tensors
• device - Consistent device selection (CPU)
• reset_random_seeds - Reproducibility fixture
• mock_model_checkpoint - Mock model checkpoint creation
• capture_stdout - Stdout capture for testing print statements

Development Commands

• poetry run test - Run all tests
• poetry run tests - Alternative command (both work)
• poetry run pytest -m unit - Run only unit tests
• poetry run pytest -m integration - Run only integration tests
• poetry run pytest -m slow - Run only slow tests

Additional Updates

• ✅ Updated .gitignore with:
  • Testing artifacts (.pytest_cache/, .coverage, htmlcov/, etc.)
  • Build artifacts and virtual environments
  • Claude settings (.claude/*)
  • Note: poetry.lock is NOT ignored (as intended)

How to Use

1. Install dependencies:

   poetry install

2. Run all tests:

   poetry run test
   # or
   poetry run tests

3. Run specific test markers:

   poetry run pytest -m unit
   poetry run pytest -m integration
   poetry run pytest -m "not slow"

4. Generate coverage reports:

   poetry run pytest --cov-report=html
   # View report at htmlcov/index.html

Validation

The infrastructure has been validated with 15 passing tests that verify:

• ✅ Pytest installation and execution
• ✅ All fixtures are accessible and working
• ✅ PyTorch integration
• ✅ Custom markers registration
• ✅ Coverage configuration
• ✅ Directory structure creation

Notes

• Coverage threshold is initially set to 0% to allow gradual test implementation
• The infrastructure is ready for immediate test development
• All common testing patterns are supported through the provided fixtures
• The setup follows Python testing best practices

[UchihaBaiQing]

邮件已收到，祝好！

[llbbl]

不客气