tegwick 0acde1e840 feat: Complete Issue #5 - Schema Generation Foundation for arc42 Architecture Documentation
CRITICAL MILESTONE: Establish schema-driven architecture foundation that unlocks the entire
pathway to HolyGrailRequirement - intelligent arc42 architecture documentation with AI-supported
plan-actual comparison capabilities.

Major Components Implemented:

🎯 SCHEMA GENERATION SERVICE:
• SchemaGenerator class with sophisticated AST analysis capabilities
• Depth-limited heading extraction for arc42 section-specific schemas
• Comprehensive structural element detection (headings, paragraphs, lists, code blocks, etc.)
• JSON Schema Draft 7 compliant output with proper validation metadata
• Robust error handling with domain-specific exceptions (FileNotFoundError, InvalidDepthError)

🖥️ CLI INTEGRATION:
• generate-schema command with full argument and option support
• Multiple output formats (JSON, YAML) with stdout or file output
• Configurable depth limiting for architectural document analysis
• User-friendly summaries and progress feedback
• Integration with existing CLI framework and error handling patterns

📊 COMPREHENSIVE TESTING:
• 6 comprehensive test scenarios covering core functionality and edge cases
• Perfect integration with architectural test system (71 service layer tests passing)
• Test coverage for schema generation, depth limiting, error handling, and JSON compliance
• Architectural layer L4 (Service) test placement following reverse dependency principles

🏗️ STRATEGIC ARCHITECTURE:
• Leverages existing AST processing infrastructure for maximum efficiency
• Builds on proven markdown-it parsing with intelligent caching
• Seamless integration with existing CLI framework and configuration system
• Foundation for Issues #7 (Schema Validation) and #8 (Validation Errors)

Technical Excellence:
- Full JSON Schema Draft 7 specification compliance for validator compatibility
- Sophisticated AST token analysis with structural pattern recognition
- Configurable depth filtering essential for arc42 template compliance
- Comprehensive metadata extraction for architectural analysis
- Robust exception handling with actionable error messages

Strategic Value:
- 🎯 33% completion of critical path Phase 1 (Schema Foundation)
- 🔑 Unlocks schema validation and error reporting capabilities
- 🏛️ Essential building block for arc42 architectural documentation intelligence
- 🚀 Direct pathway to AI-supported plan-actual comparison capabilities

This implementation transforms MarkiTect from advanced markdown processor toward intelligent
architecture documentation platform, establishing the schema-driven foundation critical for
achieving the HolyGrailRequirement of arc42 compliance with AI intelligence.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-29 14:53:05 +02:00

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

Description
An advanced markdown engine
https://coulomb.social/open/MarkiTect
Readme 34 MiB
2025-11-08 20:34:42 +00:00
Languages
Python 84.7%
JavaScript 8%
HTML 5.6%
Makefile 1.3%
Shell 0.2%
Other 0.1%