tegwick
c4877543d5
Complete cleanup and modernization of JavaScript testing infrastructure with comprehensive automated test coverage and improved output formatting. JavaScript Development Files Cleanup: - Moved 53 manual development/debugging test files to history/javascript-dev-tests/ - Added comprehensive README documenting archived files and their purposes - Cleaned main project directory of development artifacts New Automated Test Suite (68 tests): - keyboard-shortcuts.test.js: Tests Ctrl+Enter, Escape, accessibility features (8 tests) - section-splitting.test.js: Tests heading detection, content parsing, ID generation (14 tests) - image-editing.test.js: Tests dialog positioning, alt text, reset functionality (19 tests) - button-events.test.js: Tests click handling, state management, event delegation (21 tests) Integration Test Fixes: - Fixed 13 failing integration tests by properly mocking component dependencies - Updated tests to match actual component APIs instead of assumed interfaces - Improved error handling and test reliability Enhanced Test Output Formatting: - Updated testdrive-jsui-test-all target to show clear test count summaries - Separated JavaScript (68 tests) and Python (11 tests) results distinctly - Added combined summary showing total coverage (79 tests) - Improved error handling and visual formatting Main Makefile Improvements: - Fixed default target issue by adding .DEFAULT_GOAL := help - Restored proper make help behavior when called without arguments Key Achievements: - Replaced 53 manual test files with 68 automated tests - Achieved 100% test pass rate (79/79 tests passing) - Enhanced CI/CD integration with clear test reporting - Preserved all critical UI functionality in automated test coverage - Improved developer experience with clearer test output Testing Status: - ✅ 68 JavaScript tests (Jest) - Core UI functionality - ✅ 11 Python tests (pytest) - Integration bridge testing - ✅ 100% automated test coverage for critical functionality - ✅ Clean, maintainable test codebase 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
MarkiTect Documentation
Welcome to the MarkiTect documentation. This directory contains comprehensive documentation for developers, users, and contributors.
Documentation Structure
📐 Architecture Documentation (architecture/)
Deep technical documentation about system design, performance, and implementation details.
- Caching System - Why and how MarkiTect's AST caching delivers 60-85% performance improvements
- Coming soon: Database Schema, CLI Architecture, Plugin System
👥 User Guides (user-guides/)
End-user documentation for working with MarkiTect CLI and features.
- Coming soon: Getting Started, Command Reference, Best Practices
🔧 Development Documentation (development/)
Documentation for contributors and developers extending MarkiTect.
- Coming soon: Contributing Guide, Testing Strategy, Release Process
Quick Links
For Users
- Installation & Setup
- Command Reference (coming soon)
- Performance Guide (coming soon)
For Developers
- Architecture Overview - System design and component relationships
- Development Setup - Local development environment
- API Documentation (coming soon)
Project Management
- Project Status - Current development status
- Roadmap - Strategic development plan
- Current Tasks - Task management using Keep a Todofile format
Key Concepts
Core Architecture Principles
- Parse Once, Use Many Times - AST caching for 60-85% performance improvement
- Convention Over Configuration - Sensible defaults with minimal setup
- Schema-Driven Processing - Structured markdown with validation
- Relational Metadata - Database-powered document relationships
Performance Philosophy
MarkiTect treats markdown documents as structured, queryable data rather than plain text. This approach enables:
- Lightning-fast document processing through intelligent caching
- Complex querying and relationship management
- Schema validation and consistency enforcement
- Scalable performance that grows with your content
Contributing to Documentation
Documentation follows the same quality standards as code:
- Clear Structure - Logical organization and navigation
- Practical Examples - Real-world usage patterns
- Performance Context - Why architectural decisions matter
- User-Focused - Written for the intended audience
Documentation Standards
- Use clear, concise language
- Include practical examples
- Explain the "why" behind design decisions
- Keep technical accuracy as the highest priority
- Update docs when changing functionality
This documentation is maintained alongside the codebase. For the most current information, always refer to the latest version in the repository.