tegwick
7198041143
Resolve the integration issue where outline mode schema generation captured heading text correctly but draft generation didn't use it, resulting in generic placeholders instead of preserved document structure. Key changes: - Enhanced StubGenerator._extract_heading_text_from_schema() to extract actual heading text from enum constraints - Modified heading generation logic in _generate_content_from_headings() to use captured text - Fixed both H1 and H2+ heading handling to preserve source document structure - Added comprehensive test suite covering all outline mode functionality - Updated end-to-end test to reflect expected behavior (stubs vs full validation) Impact: - Outline schemas now properly integrate with draft generation - Generated drafts preserve actual heading text from source documents - End-to-end workflow: example → outline schema → draft maintains document structure - Backward compatibility maintained for existing functionality Tests: 8/8 passing in test_issue_46_schema_generation_outline.py Resolves: coulomb/markitect_project#46 🤖 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