tegwick
a17c362653
Complete implementation of Phase 1 core infrastructure: Core Infrastructure Components: - ExplodeVariant enum (flat, hierarchical, semantic) - ExplodeMode, ManifestVersion, DetectionConfidence enums - BaseVariant abstract class with common interface - ExplodeOptions, ImplodeOptions, ExplodeResult, ImplodeResult dataclasses Manifest System: - ManifestManager class for manifest.md creation and parsing - StructureEntry and ManifestData dataclasses - YAML front matter with complete metadata preservation - Validation and update mechanisms Variant Detection: - VariantDetector class with multiple detection strategies - Manifest-based detection (highest priority) - Directory naming pattern recognition - Semantic structure analysis with confidence scoring - Automatic fallback and combination logic Command Interface Updates: - md-explode: Added --variant parameter with [flat|hierarchical|semantic] - md-explode: Added --create-manifest/--no-manifest option - md-implode: Added --force-variant parameter for manual override - md-implode: Integrated auto-detection with verbose output - Updated help text and examples for both commands Test Coverage: - Comprehensive test suite with 21 test cases - Tests for all enums, dataclasses, and core functionality - ManifestManager creation, reading, and validation tests - VariantDetector pattern recognition and confidence tests - 100% test pass rate with robust edge case handling Infrastructure Features: - Backward compatibility maintained (flat variant default) - Graceful handling of unimplemented variants with user warnings - Extensible design for easy addition of new variants - Clear separation between infrastructure and implementation Success Criteria Met: ✅ ExplodeVariant enum with all planned variants ✅ ManifestManager creates and parses manifest.md files ✅ Commands accept variant parameters ✅ Auto-detection logic identifies variant types ✅ Unit tests achieve 100% pass rate ✅ Backward compatibility maintained Ready for Phase 2: Variant implementations (Issue #149) 🤖 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