Files
soroban-abacus-flashcards/tests
Thomas Hallock 0bea2fb733 test: add comprehensive quiz functionality tests
- Tests quiz HTML structure and control elements
- Validates JavaScript classes and methods
- Verifies default values and configuration
- Tests card count buttons and progress tracking
- Validates input parsing and scoring logic
- Checks countdown functionality and responsive design
- Tests accessibility features
- Covers various card count scenarios

Ensures interactive quiz features work correctly across different configurations.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-09 20:51:59 -05:00
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Testing

This directory contains automated tests for the Soroban flashcard generator.

Test Structure

  • test_config.py - Configuration loading and parsing tests
  • test_generation.py - Core generation logic tests
  • test_visual.py - Visual regression tests using image comparison
  • conftest.py - Pytest fixtures and configuration
  • references/ - Reference images for visual regression tests

Running Tests

Quick Start

make pytest-fast    # Run unit tests (fast)
make pytest-visual  # Run visual regression tests
make pytest         # Run all tests
make pytest-cov     # Run with coverage report

Direct pytest usage

# All tests
python3 -m pytest tests/ -v

# Skip slow tests
python3 -m pytest tests/ -v -m "not slow" 

# Visual tests only
python3 -m pytest tests/test_visual.py -v

# With coverage
python3 -m pytest tests/ -v --cov=src

Visual Testing

The visual tests generate flashcard images and compare them against reference images using perceptual hashing. This catches visual regressions while allowing for minor differences.

Updating References

When you make intentional visual changes, manually delete the old reference images in tests/references/ and run the visual tests. They will automatically create new reference images on first run.

How Visual Tests Work

  1. Generate test images (PNG format, small size for speed)
  2. Compare against reference images using imagehash library
  3. Allow small differences (hash distance < 5) for anti-aliasing variations
  4. Fail if images differ significantly, indicating a regression

Test Philosophy

  • Fast unit tests for logic and configuration
  • Visual regression tests for output verification
  • Integration tests marked as @pytest.mark.slow
  • Meaningful failures with clear error messages
  • Easy maintenance when the app evolves

Adding Tests

When adding features:

  1. Add unit tests in relevant test_*.py file
  2. Add visual tests if output changes
  3. Update references if visual changes are intentional
  4. Use appropriate markers (@pytest.mark.slow, etc.)

CI Integration

Tests are designed to run in CI environments:

  • Skip tests requiring typst if not installed
  • Use smaller images and lower DPI for speed
  • Store reference images in version control
  • Clear pass/fail criteria