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@llbbl llbbl commented Sep 3, 2025

Add Complete Python Testing Infrastructure

Summary

This PR establishes a comprehensive testing infrastructure for the Streamlit auto-filter dataframe project using Poetry as the package manager and pytest as the testing framework.

Changes Made

Package Management

  • Poetry Configuration: Set up pyproject.toml with Poetry as package manager
  • Dependencies: Migrated existing dependencies (streamlit, pandas) and added testing dependencies
  • Python Version: Configured proper Python version constraints (>=3.9, !=3.9.7, <4.0) for Streamlit compatibility

Testing Dependencies Added

  • pytest ^7.4.0 - Main testing framework
  • pytest-cov ^4.1.0 - Coverage reporting
  • pytest-mock ^3.11.0 - Mocking utilities

Testing Configuration

  • pytest settings: Configured in pyproject.toml with test discovery patterns, coverage settings, and custom markers
  • Coverage: 80% threshold, HTML/XML/terminal reporting, proper source/exclusion paths
  • Markers: Added unit, integration, and slow test markers for test categorization

Directory Structure

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

Fixtures and Test Utilities

Created comprehensive conftest.py with fixtures for:

  • DataFrame fixtures: sample, empty, numeric, categorical, datetime, mixed types
  • Utility fixtures: temp directories/files, mock Streamlit/pandas objects
  • Test data: large datasets for performance testing, parametrized fixtures

Development Workflow

  • Commands: Use poetry run pytest to run all tests
  • Coverage: Generates HTML reports in htmlcov/, XML reports in coverage.xml
  • Markers: Filter tests with -m unit, -m integration, or -m slow

Additional Setup

  • Updated .gitignore: Added testing artifacts, Python build files, virtual environments, IDE files
  • Validation tests: Created comprehensive validation suite to verify infrastructure works
  • Lock file: Generated poetry.lock for reproducible dependency installation

Running Tests

# Install dependencies
poetry install

# Run all tests
poetry run pytest

# Run with coverage (default)
poetry run pytest tests/

# Run only unit tests
poetry run pytest -m unit

# Run integration tests  
poetry run pytest -m integration

# Run without slow tests
poetry run pytest -m "not slow"

# Generate coverage report
poetry run pytest --cov-report=html

Coverage Reports

The setup generates coverage reports in multiple formats:

  • Terminal: Shows missing lines during test runs
  • HTML: Detailed report in htmlcov/index.html
  • XML: Machine-readable report in coverage.xml

Validation

All tests in the validation suite pass, confirming:

  • ✅ pytest configuration and test discovery
  • ✅ Custom fixtures and markers
  • ✅ Coverage reporting setup
  • ✅ Mock objects and utilities
  • ✅ Temporary file/directory handling
  • ✅ Import and dependency resolution

Next Steps

The testing infrastructure is now ready for developers to:

  1. Write unit tests in tests/unit/ for individual functions
  2. Write integration tests in tests/integration/ for end-to-end workflows
  3. Use the provided fixtures for consistent test data
  4. Maintain the 80% coverage threshold as new code is added

Files Added/Modified

  • pyproject.toml - Poetry configuration and pytest settings
  • tests/conftest.py - Comprehensive fixture collection
  • tests/test_setup_validation.py - Infrastructure validation tests
  • tests/__init__.py, tests/unit/__init__.py, tests/integration/__init__.py - Package structure
  • .gitignore - Updated with testing and Python artifacts
  • poetry.lock - Dependency lock file

- Configure Poetry as package manager with pyproject.toml
- Add pytest, pytest-cov, and pytest-mock as test dependencies
- Create complete testing directory structure (tests/unit/, tests/integration/)
- Implement comprehensive conftest.py with fixtures for DataFrames, mocks, and temp files
- Configure pytest with 80% coverage threshold and custom markers (unit, integration, slow)
- Set up coverage reporting (HTML, XML, terminal) with proper exclusions
- Update .gitignore with testing artifacts and Python build files
- Create validation tests to verify infrastructure setup
- Support both `poetry run pytest` and `poetry run tests` commands
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