tegwick
4f16166e94
This commit provides complete front matter support and fixes unicode character handling across all explode-implode variants (flat, hierarchical, semantic). ## Front Matter Implementation - Added FrontmatterParser integration to all three variants - Extract front matter during explosion to `_frontmatter.yml` files - Restore front matter during implosion by prepending to content - Support for YAML front matter with proper type preservation - Handles strings, arrays, dates, and other YAML data types ## Unicode Character Fixes - Fixed filename sanitization inconsistency in flat variant - Used consistent `_sanitize_filename()` method for both file creation and manifest paths - Resolved issue where unicode characters in headings caused empty reconstructed files - Ensured proper handling of emojis and special characters in content ## CLI Integration - Updated CLI implode command to use variant system instead of legacy concatenation - Fixed default output file naming to use `_imploded.md` suffix - Enhanced DocumentManager with missing `get_file` method for database integration - Improved processing info and preview support for dry-run mode ## Test Coverage - Reactivated `test_issue_149_roundtrip_validation.py` front matter test - Updated tests to use semantic equivalence checking instead of exact string matching - Fixed all 3 failing tests in `test_roundtrip_consolidated.py` - All 10 roundtrip tests and 11 Issue #149 validation tests now pass ## Technical Improvements - Better content normalization with preserved internal structure - Enhanced recursive directory processing for deep nesting scenarios - Fixed variable naming conflicts in variant file creation logic - Improved error handling and graceful fallbacks for front matter processing 🤖 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