feat: Add comprehensive Python testing infrastructure

[llbbl]

Add Comprehensive Python Testing Infrastructure

Summary

This PR sets up a complete testing infrastructure for the Python project, providing a robust foundation for test-driven development and code quality assurance.

Key Changes:

• Set up Poetry as the package manager with dependency management
• Added comprehensive pytest configuration with coverage reporting
• Created structured testing directories with shared fixtures
• Implemented validation tests to verify the infrastructure works correctly

Testing Infrastructure Components

Package Management

• Poetry Configuration: Set up pyproject.toml with Poetry for dependency management
• Testing Dependencies: Added pytest, pytest-cov, and pytest-mock as development dependencies
• Package Mode: Configured as library-only project (no package installation required)

Testing Configuration

• pytest Settings: Comprehensive test discovery, strict configuration, and custom markers
• Coverage Reporting: 80% coverage threshold with HTML, XML, and terminal reports
• Custom Markers: @pytest.mark.unit, @pytest.mark.integration, @pytest.mark.slow
• Test Discovery: Automatic discovery of test files and functions

Directory Structure

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

Shared Fixtures (tests/conftest.py)

• temp_dir & temp_file: Temporary file system operations
• sample_data & sample_list: Test data providers
• mock_config & mock_logger: Mock objects for testing
• mock_response: HTTP response mocking
• env_vars: Environment variable testing
• capture_output: stdout/stderr capture
• mock_file_system: Complete file system mocking

Validation Tests

• Infrastructure Validation: 29 comprehensive tests verifying all components work
• Fixture Testing: Validates all shared fixtures are functional
• Marker Testing: Confirms custom pytest markers work correctly
• Feature Testing: Tests parametrization, exception handling, and pytest features

Instructions for Running Tests

Basic Commands

# Install dependencies poetry install # Run all tests poetry run pytest # Run with coverage poetry run pytest --cov # Run specific test types poetry run pytest -m unit # Unit tests only poetry run pytest -m integration # Integration tests only poetry run pytest -m slow # Slow tests only # Run specific test file poetry run pytest tests/test_infrastructure.py # Run with verbose output poetry run pytest -v # Generate coverage report poetry run pytest --cov --cov-report=html

Coverage Reports

• Terminal: Shows missing lines during test execution
• HTML: Generate htmlcov/index.html for detailed browser viewing
• XML: Generate coverage.xml for CI/CD integration

Configuration Details

Coverage Settings

• Threshold: 80% minimum coverage required
• Source: Covers all Python files in the project
• Exclusions: Tests, cache, virtual environments, and build artifacts
• Reports: Multi-format output (HTML, XML, terminal)

Development Workflow

1. Write Tests: Add test files in appropriate directories (tests/unit/ or tests/integration/)
2. Use Fixtures: Leverage shared fixtures from conftest.py
3. Run Tests: Use poetry run pytest for execution
4. Check Coverage: Ensure coverage meets the 80% threshold
5. Use Markers: Tag tests with appropriate markers for selective execution

Notes

• Poetry Lock File: The poetry.lock file is included in version control for reproducible builds
• Python Compatibility: Configured for Python 3.8+ compatibility
• IDE Integration: Configuration works with popular IDEs and editors
• CI/CD Ready: XML coverage reports suitable for continuous integration
• Extensible: Easy to add new fixtures, markers, and test configurations

Validation

✅ All 29 validation tests pass successfully
✅ Coverage reporting configured and functional
✅ Custom markers working correctly
✅ Fixtures available and tested
✅ Poetry dependency management working
✅ Test discovery and execution verified

The testing infrastructure is ready for immediate use. Developers can start writing unit and integration tests right away using the comprehensive fixture library and configuration provided.

🤖 Generated with Claude Code

[harshitgupta028]

Hi @llbbl

I appreciate the effort you have made here, but this repository only contains the Python coding questions and their solutions. I'm just trying to understand how will your PR help here.

[llbbl]

trying to setup a pipline of repos open to help with testing. tests could be added for the solutions? if you don't think will be helpful to add testing, just close the pr.

[harshitgupta028]

Yeah, I think we can use it for "tests could be added for the solutions"