feat: Set up comprehensive Python testing infrastructure - #7
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- Added pytest, pytest-cov, and pytest-mock as development dependencies - Configured pytest with test discovery patterns, markers (unit/integration/slow) - Set up coverage reporting with 80% threshold, HTML and XML output - Created tests/ directory structure with unit/ and integration/ subdirs - Added comprehensive fixtures in conftest.py for common testing scenarios - Created validation tests to verify testing infrastructure works correctly - Updated .gitignore with testing artifacts and Python-related entries - Configured Poetry scripts for running tests (poetry run test/tests) The testing infrastructure is now ready for developers to write comprehensive test suites.
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Set up Python Testing Infrastructure
Summary
This PR establishes a complete testing infrastructure for the Python backend using Poetry, pytest, and coverage tools. The setup provides a solid foundation for writing comprehensive unit and integration tests.
Changes Made
Testing Dependencies
Configuration (
backend/pyproject.toml)poetry run testandpoetry run testscommandsDirectory Structure
Fixtures and Testing Utilities (
tests/conftest.py)Coverage Settings
app/directoryhtmlcov/), XML (coverage.xml)Running Tests
Basic Commands
Coverage Options
Validation
The infrastructure includes validation tests (
test_setup_validation.py) that verify:unit,integration,slow)All 17 validation tests pass, confirming the infrastructure is ready for use.
Development Workflow
tests/unit/ortests/integration/)conftest.pyfor common testing scenariospoetry run pytesthtmlcov/index.htmlNotes
.gitignoreupdated with testing artifacts and Python patternsThe testing infrastructure provides a professional-grade foundation for maintaining code quality and reliability.