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darth-veitcher-comfydv/tests/README.md
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darth-veitcher 130c57f88b Add comprehensive pytest test suite and fix FormatString node issues
- Fixed Jinja2 regex pattern to handle spaces around filters ({{ var | filter }})
- Added null safety in IS_CHANGED method for empty/None templates
- Restored dynamic output functionality for variable chaining
- Created 47 comprehensive tests with 78% coverage on format_string.py
- Set up test infrastructure with ComfyUI dependency mocking
- Used importlib to bypass package imports during testing
- Added conditional imports in root __init__.py for test compatibility
- Configured pytest in pyproject.toml (removed outdated pytest.ini)
- Added pytest and pytest-cov to dev dependencies
- Updated .gitignore for test artifacts
- Removed deprecated model_unload.py
2025-11-05 11:59:31 +00:00

3.4 KiB

Tests

This directory contains comprehensive pytest tests for the comfydv package.

Running Tests

# Run all tests
uv run pytest

# Run with verbose output
uv run pytest -v

# Run with coverage report
uv run pytest --cov=src/comfydv --cov-report=html

# Run specific test file
uv run pytest tests/test_format_string.py

# Run specific test class
uv run pytest tests/test_format_string.py::TestVariableExtraction

# Run specific test
uv run pytest tests/test_format_string.py::TestVariableExtraction::test_extract_simple_single_variable

# Run tests matching a pattern
uv run pytest -k "jinja2"

Coverage reports are available in htmlcov/index.html after running with --cov-report=html.

Test Coverage

Current: 75% (203 statements total, 51 missed)

  • format_string.py: 78% coverage
  • __init__.py: 100% coverage
  • circuit_breaker.py: 68% coverage
  • random_choice.py: 60% coverage
  • utils.py: 75% coverage

Test Structure

conftest.py

Contains pytest configuration, fixtures, and mocks for ComfyUI dependencies:

  • Mock ComfyUI modules (comfy, server, folder_paths, aiohttp)
  • Uses pytest_configure hook to install mocks before test collection
  • Provides format_string_class fixture using importlib to directly load module
  • Fixtures for test data and class instances
  • Pytest hooks for early mock installation

test_format_string.py

Comprehensive test suite for the FormatString node with 47 tests organized into classes:

  • TestVariableExtraction (12 tests): Variable extraction from templates
  • TestSimpleFormatting (4 tests): Python format string rendering
  • TestJinja2Formatting (5 tests): Jinja2 template rendering
  • TestDynamicOutputs (6 tests): Dynamic output configuration
  • TestOutputConsistency (3 tests): Outputs match RETURN_TYPES/RETURN_NAMES
  • TestInputTypes (4 tests): INPUT_TYPES method validation
  • TestIsChanged (5 tests): Cache invalidation logic
  • TestStatePersistence (2 tests): State saving/loading
  • TestEdgeCases (4 tests): Error handling and edge cases
  • TestTimeNowFunction (2 tests): time_now utility function

Mocking Strategy

The tests use importlib.util to directly load the format_string.py module, bypassing the package __init__.py which has ComfyUI dependencies. This allows testing without ComfyUI installation while maintaining the root __init__.py for ComfyUI extension discovery.

Writing Tests

Example test

def test_new_feature(self, format_string_class, sample_data):
    """Test that new feature works correctly."""
    result = format_string_class.some_method(sample_data["name"])
    assert result == expected_value

Available fixtures

  • format_string_class: Fresh FormatString class with reset state
  • sample_templates: Dictionary of sample template strings
  • sample_data: Dictionary of sample data for templates

Test naming convention

Use descriptive names: test_<what>_<condition>_<expected>

Troubleshooting

Debugging failed tests

# Run with verbose output
uv run pytest -vv --tb=long

# Run with pdb debugger
uv run pytest --pdb

Test isolation

Each test is independent. The format_string_class fixture provides a fresh instance with reset state.

Future Improvements

  • Add integration tests with actual ComfyUI installation
  • Add JavaScript tests for frontend functionality
  • Increase coverage for circuit_breaker and random_choice nodes
  • Add property-based testing with Hypothesis