feat: Set up comprehensive Python testing infrastructure with Poetry

[llbbl]

Set Up Python Testing Infrastructure

Summary

This PR establishes a complete testing infrastructure for the Python project using Poetry as the package manager and pytest as the testing framework. The setup provides a solid foundation for writing and running tests with comprehensive coverage reporting.

Changes Made

Package Management

• Poetry Configuration: Created pyproject.toml with Poetry setup
• Dependency Migration: Migrated all dependencies from requirements.txt to Poetry
• Python Version: Configured Python compatibility (>=3.8.1, excluding 3.9.7 per Streamlit requirements)

Testing Framework

• pytest: Added as the primary testing framework
• pytest-cov: Added for coverage reporting
• pytest-mock: Added for mocking utilities
• All testing dependencies are properly isolated as development dependencies

Testing Configuration

pytest Configuration (pyproject.toml):

• Test discovery patterns for flexible test file naming
• Coverage reporting with multiple formats (terminal, HTML, XML)
• Custom markers for test categorization:
  • @pytest.mark.unit - Fast, isolated unit tests
  • @pytest.mark.integration - Integration tests with dependencies
  • @pytest.mark.slow - Long-running tests
• Strict mode enabled for better error detection
• Coverage threshold initially set to 0% (should be increased as tests are added)

Directory Structure

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

Shared Fixtures (conftest.py)

• temp_dir: Temporary directory for file operations
• mock_env_vars: Environment variable mocking
• sample_config: Sample configuration for testing
• mock_api_response: Mock API response structure
• isolated_filesystem: Isolated filesystem for safe file operations
• mock_streamlit: Streamlit component mocking

Build Configuration

• Updated .gitignore with testing artifacts and Poetry files
• Poetry lock file is tracked (not ignored) for reproducible builds

How to Use

Install Dependencies

poetry install

Run Tests

Both commands work:

poetry run test
poetry run tests

Run Tests with Options

# Run only unit tests
poetry run pytest -m unit

# Run with verbose output
poetry run pytest -v

# Run specific test file
poetry run pytest tests/test_setup_validation.py

# Generate coverage report
poetry run pytest --cov

Coverage Reports

• Terminal: Displayed after each test run
• HTML: Generated in htmlcov/ directory
• XML: Generated as coverage.xml for CI integration

Next Steps

1. Increase coverage threshold in pyproject.toml as tests are added (currently 0%)
2. Write unit tests for existing modules (chatbot.py, generateCode.py)
3. Add integration tests for API interactions
4. Configure CI/CD to run tests automatically

Validation

The setup includes validation tests that verify:

• All testing packages are properly installed
• Directory structure is correctly created
• Configuration files exist and are valid
• Custom markers work as expected
• Shared fixtures are accessible

All validation tests pass successfully, confirming the infrastructure is ready for use.