tegwick
e46e97801d
Add comprehensive emoji preference support to complement existing --ascii flag: 🎯 Core Features: • Add --emoji flag to visualization tools (visualize_schema.py, schema_summary.py) • Implement MARKITECT_EMOJI environment variable support • Maintain backward compatibility with existing --ascii flag behavior • Establish proper priority: CLI flags > environment variables > defaults 🏗️ Architecture: • Create shared emoji_utils.py module for centralized logic • Implement determine_output_mode() for standardized preference resolution • Add add_emoji_arguments() for consistent argument parser setup • Follow DRY principle - eliminate duplicate code between tools 🧪 Testing: • 18 comprehensive tests covering all functionality • Basic flag tests: existence, mutual exclusivity, defaults, precedence • Environment variable tests: recognition, case handling, CLI overrides • Configuration integration tests: system compatibility, error handling • All 1337 project tests pass (no regressions) 💡 User Experience: • Consistent behavior across all MarkiTect visualization tools • Multiple preference setting methods (CLI flags, environment variables) • Robust error handling with sensible defaults (emoji by default) • Clear help documentation and discoverable usage patterns 🔧 Implementation Details: • Mutually exclusive argument groups prevent conflicting flags • Case-insensitive environment variable processing • Valid false values: 'false', 'f', '0' - all others default to emoji • Comprehensive documentation with usage examples The implementation follows TDD principles and MarkiTect architectural patterns, ensuring high quality and maintainability while delivering enhanced usability features. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
MarkiTect - Advanced Markdown Engine
Your Markdown, Redefined.
MarkiTect transforms markdown from plain text into intelligent, structured data with performance optimization, schema validation, and relational querying capabilities. Stop treating documentation as text files—start managing it as a database.
Key Features:
- Lightning Performance: 60-85% faster document processing through intelligent AST caching
- Schema Validation: Enforce document structure and consistency
- Database Integration: Query markdown content with SQL-like operations
- CLI Tools: Complete command-line interface for automation and workflows
📚 Documentation
Quick Start: Getting Started · Command Reference
Architecture: Caching System · Performance Philosophy
Development: TDD Workflow · Contributing
Project Status: Current Status · Roadmap · Next Actions