feat: set up comprehensive Python testing infrastructure

[llbbl]

Set up comprehensive Python testing infrastructure

Summary

This PR establishes a complete testing infrastructure for the BARK-ML project, providing developers with all the tools needed to write and run tests effectively.

Changes Made

• Package Management: Set up Poetry as the package manager with pyproject.toml configuration
• Testing Framework: Configured pytest with comprehensive settings including:
  • Coverage reporting with 80% threshold
  • Custom markers for organizing tests (unit, integration, slow)
  • Strict configuration for better test reliability
  • HTML and XML coverage reports
• Directory Structure: Created organized test structure:
  • tests/ - Root test directory
  • tests/unit/ - Unit test subdirectory
  • tests/integration/ - Integration test subdirectory
  • All directories include proper __init__.py files
• Shared Fixtures: Added tests/conftest.py with comprehensive fixtures:
  • Temporary file and directory management
  • Mock objects for environments, agents, and models
  • Sample configurations and data structures
  • Environment cleanup utilities
• Development Dependencies: Added essential testing packages:
  • pytest - Main testing framework
  • pytest-cov - Coverage reporting
  • pytest-mock - Enhanced mocking utilities
• Configuration: Updated .gitignore with testing artifacts and development files
• Validation: Created validation tests to verify infrastructure works correctly

Running Tests

After this PR is merged, developers can run tests using:

# Install dependencies
poetry install

# Run all tests
poetry run pytest

# Run with coverage
poetry run pytest --cov=bark_ml

# Run specific test types
poetry run pytest -m unit          # Only unit tests
poetry run pytest -m integration   # Only integration tests  
poetry run pytest -m slow          # Only slow tests

# Run tests in specific directories
poetry run pytest tests/unit/
poetry run pytest tests/integration/

Coverage Reports

The testing infrastructure generates coverage reports in multiple formats:

• Terminal output with missing line numbers
• HTML report in htmlcov/ directory
• XML report as coverage.xml for CI integration

Test Organization

Tests are organized using pytest markers:

• @pytest.mark.unit - Fast, isolated unit tests
• @pytest.mark.integration - Tests that check component interactions
• @pytest.mark.slow - Long-running tests (can be excluded in CI)

Development Notes

• The poetry.lock file is NOT added to .gitignore as it should be committed for reproducible builds
• Coverage threshold is set to 80% but can be adjusted in pyproject.toml
• All major Python versions (3.7+) are supported
• Comprehensive fixtures are available in conftest.py for common testing scenarios

Testing the Infrastructure

The PR includes validation tests that verify:

• All testing tools are properly installed and configured
• Fixtures are working correctly
• Test discovery and execution work as expected
• Coverage reporting generates properly

🤖 Generated with Claude Code