feat: Set up comprehensive Python testing infrastructure

[llbbl]

Set up Python Testing Infrastructure

Summary

This PR establishes a comprehensive testing infrastructure for the Python project, providing developers with all the tools and configurations needed to write, run, and maintain tests effectively.

Changes Made

Package Management & Dependencies

• Set up Poetry as the primary package manager with pyproject.toml configuration
• Migrated dependencies from requirements.txt to Poetry format with flexible version constraints
• Added testing dependencies: pytest, pytest-cov, pytest-mock as development dependencies

Testing Configuration

• Configured pytest with comprehensive settings in pyproject.toml:

  • Test discovery patterns for files, functions, and classes
  • Coverage reporting with 80% threshold requirement
  • HTML and XML coverage output formats
  • Custom test markers: unit, integration, slow
  • Strict configuration and warnings handling

• Coverage configuration with intelligent exclusions:

  • Source directory inclusion with proper omit patterns
  • Branch coverage enabled
  • Comprehensive exclude patterns for test files and boilerplate code

Directory Structure

• Organized test layout:

  tests/
  ├── __init__.py
  ├── conftest.py          # Shared fixtures and test utilities
  ├── unit/
  │   └── __init__.py
  ├── integration/
  │   └── __init__.py
  └── test_infrastructure_validation.py
  

Shared Test Utilities

• Comprehensive fixtures in conftest.py:
  • temp_dir, temp_file - Temporary file/directory management
  • sample_config, sample_tensor, sample_graph_data - Test data
  • mock_model, mock_optimizer, mock_dataset - Mock objects
  • set_random_seeds - Reproducible testing
  • isolated_environment - Clean test environments

Development Environment

• Updated .gitignore with testing artifacts, build files, IDE settings, and virtual environments
• Poetry lock file generated for consistent dependency versions
• Validation tests to ensure infrastructure works correctly

Testing Instructions

Running Tests

# Run all tests with coverage
poetry run pytest

# Run specific test types
poetry run pytest -m unit          # Unit tests only
poetry run pytest -m integration   # Integration tests only
poetry run pytest -m "not slow"    # Skip slow tests

# Run tests with verbose output
poetry run pytest -v

# Generate coverage report
poetry run pytest --cov-report=html
# View coverage: open htmlcov/index.html

Development Workflow

1. Install dependencies: poetry install
2. Write tests in appropriate tests/unit/ or tests/integration/ directories
3. Use shared fixtures from conftest.py
4. Run tests with coverage: poetry run pytest
5. Check coverage reports in htmlcov/ directory

Notes

• 80% coverage threshold is enforced - tests will fail if coverage drops below this
• Flexible dependency versions allow for updates while maintaining compatibility
• Multiple output formats (terminal, HTML, XML) support different development workflows
• Comprehensive fixtures reduce boilerplate and ensure consistent test setup
• Test markers enable selective test execution for different scenarios

The infrastructure is ready for immediate use - developers can start writing tests right away using the provided fixtures and configuration.

🤖 Generated with Claude Code