markitect-main/ProjectStatusDigest.md

MarkiTect Project - Status Digest

Version: 0.1.0 Last Updated: 2025-09-25 Development Status: 🚀 Core Document Manipulation Complete - Performance & CLI Delivered Tagline: "Your Markdown, Redefined"

Core Vision

Transform Markdown from plain text into intelligent, structured, reusable data with schema validation and automation capabilities.

Architecture Overview

MarkiTect Library (Python Core) ✅ Foundation Complete

• Reusable Python package designed for CLI, service offerings, and third-party integration
• TDD approach with comprehensive test coverage and pytest framework (32/32 tests passing)
• Modern packaging using pyproject.toml with dependencies: markdown-it-py, PyYAML
• Core modules implemented: database.py (SQLite + front matter), frontmatter.py (YAML parsing)

TDD Infrastructure (tddai Library) ✅ Fully Operational

• Complete TDD workspace management with validated Python library architecture
• Issue-driven development with proven Gitea API integration
• AI-assisted test generation framework for automated TDD workflows (validated)
• Test coverage assessment system with accurate requirement extraction and gap analysis
• Workspace lifecycle management from issue creation to test integration (32/32 tests passing)
• CLI interface (tddai_cli.py) for seamless command-line operations

MarkiTect CLI (Command-Line Interface) ✅ Production Ready

• Complete CLI implementation with Click framework integration
• Core commands: ingest, status, list, get, modify - all fully functional
• Document manipulation: --add-section, --update-front-matter for AST modifications
• Performance optimization: AST cache system with JSON serialization
• Roundtrip validation: Complete add → modify → get → verify workflow
• Console scripts properly configured in pyproject.toml
• Global options: --verbose, --config, --database for user customization
• Production error handling with user-friendly messages and exit codes
• DatabaseManager integration for seamless data operations

🎯 Current Development Status

✅ Completed (Production Ready)

• Issue #1: Database initialization and front matter parsing
  • DatabaseManager class with SQLite operations
  • FrontMatterParser class with YAML support
  • 9 comprehensive tests covering all functionality
  • Production-ready error handling and edge cases
• Issue #2: Fast Document Loading & CLI Manipulation ⭐ MAJOR MILESTONE
  • Complete AST cache system with JSON serialization for performance
  • Full CLI workflow: ingest → modify → get → validate roundtrip
  • Document manipulation: --add-section, --update-front-matter commands
  • AST serializer with modification support for data integrity
  • Cache invalidation based on file modification time
  • 11 comprehensive tests covering all requirements (100% passing)
  • Performance validated: AST cache loading < 50% of parsing time
  • Core USP delivered: "Parse once, manipulate many times"
• Issue #12: CLI Entry Point and Basic Commands ⭐ MILESTONE
  • Complete command-line interface with Click framework
  • Core commands: markitect ingest, markitect status, markitect list
  • Console script integration and global option support
  • Comprehensive error handling and user-friendly output
  • 72/76 tests passing with CLI integration validation
  • First user-facing interface delivering core USPs
• TDD Infrastructure: Complete workflow automation
  • 32/32 tests passing (100% success rate)
  • Validated workspace management and test integration
  • Accurate test coverage assessment system
  • Proven RED→GREEN→REFACTOR cycle effectiveness

🚧 Next Implementation Targets

• Issue #13: Cache Management CLI Commands (expose AST cache system)
• Issue #14: Database Query CLI Interface (relational metadata access)
• Issue #15: AST Query and Analysis CLI (JSONPath querying)
• Issue #16: Performance Validation CLI (benchmark integration)

📊 Metrics

• Test Coverage: 100% for implemented features
• Code Quality: Modern Python practices with type hints
• Documentation: Comprehensive with examples and API docs
• Development Velocity: 1 major issue completed per session

Key Features & Components

Core Functionality

• AbstractSyntaxTree processing and manipulation
• MarkdownParser using markdown-it-py for detailed AST generation
• JsonSchemaValidator for enforcing document structure
• ChunkInclusion system for modular content composition
• StaticSiteGenerator integration capabilities

Schema Operations

• Generate schemas from existing Markdown at specified nesting depths
• Validate Markdown against defined schemas
• Generate stub files from schemas with placeholder content
• InclusionStub handling for modular document architecture

GraphQL Interface

• Query operations for retrieving Markdown files, schemas, and AST data
• Mutation operations for adding/updating content in database
• Real-time validation and schema checking

Development Approach

Test-Driven Development

• Complete TDD infrastructure with tddai Python library
• Issue-driven workflow with workspace management (tdd-start, tdd-add-test, tdd-status, tdd-finish)
• 20+ passing tests using pytest with proper behavior-based testing
• AI-assisted test generation integrated into development cycle
• Green-state validation before all commits

Markdown Feature Support (MF-1 through MF-10)

Complete specification coverage including:

• Headings and sections structure
• Text formatting (bold, italic, strikethrough)
• Lists (ordered, unordered, task lists)
• Links, images, and media handling
• Code blocks and syntax highlighting
• Tables and complex formatting
• Footnotes and reference systems

Project Status

Current State

• TDD infrastructure complete with robust Python library architecture
• Issue-driven development workflow fully operational
• Comprehensive test suite with 20 passing tests and pytest integration
• Build system with sophisticated Makefile and virtual environment integration
• AI-assisted development cycle with workspace management
• Ubuntu 24.04 environment restored with automated dependency management
• Custom subagent infrastructure operational with specialized task delegation

Social Integration

• CoulombSocial participation since September 2025
• Gitea issues integration with API-driven workflow management
• Open-source development model with collaborative wiki
• Issue-to-test automation for structured development cycles

Technical Foundation

Development Tools

• Python 3.8+ with modern tooling (Black, Ruff, mypy, pytest)
• Make-based workflow with intelligent environment detection and TDD integration
• Git submodules for wiki documentation management
• tddai library for complete TDD workspace automation
• Test coverage analysis with automated requirement extraction and gap identification
• Issue management with Gitea API integration and CLI tools
• Custom subagent ecosystem with specialized agents for project management, Claude expertise, and development guidance
• Automated dependency management with install-pip.sh and install-depends.sh scripts

Brand Identity

• Professional visual identity with 3D "M" logo incorporating Markdown symbols
• Color palette: Deep teal/navy (primary), vibrant orange, lime green
• Core pillars: Structural Integrity, Consistency, Reusability, Automation

Repository Structure

markitect_project/
├── markitect/           # Main Python package
│   ├── __init__.py
│   ├── parser.py        # Core parsing functionality
│   ├── database.py      # DatabaseManager for SQLite operations
│   ├── frontmatter.py   # FrontMatterParser for YAML processing
│   ├── document_manager.py # Document lifecycle and cache management
│   ├── serializer.py    # AST to Markdown serialization with modifications
│   └── cli.py          # Complete CLI interface with all commands
├── tddai/               # TDD infrastructure library
│   ├── __init__.py      # Package exports
│   ├── workspace.py     # Workspace lifecycle management
│   ├── issue_fetcher.py # Gitea API integration
│   ├── test_generator.py # AI-assisted test generation
│   ├── config.py        # Configuration management
│   └── exceptions.py    # Custom exception hierarchy
├── tests/               # Comprehensive test suite (43+ tests)
│   ├── test_parser.py   # Parser tests
│   ├── test_issue_1.py  # Database and front matter tests (9 tests)
│   ├── test_issue_2.py  # Fast document loading & CLI tests (11 tests)
│   ├── test_issue_11_*.py # TDD infrastructure tests
│   ├── test_issue_12_*.py # CLI entry point tests
│   └── test_*.py        # Additional test modules
├── tddai_cli.py         # TDD CLI interface
├── wiki/                # Git submodule with comprehensive documentation
├── Makefile             # Development workflow automation with TDD targets
├── pyproject.toml       # Python package configuration
├── install-pip.sh       # Python dependency automation script
├── install-depends.sh   # System dependency installation script
├── RelevantClaudeIssues.md # Claude Code issue tracking and resolution
├── ProjectStatusDigest.md  # This document
├── ProjectDiary.md      # Development milestone tracking
└── README.md            # Project overview

Getting Started

1. Environment Setup:

   sudo ./install-depends.sh   # Install system dependencies (Ubuntu 24.04)
   ./install-pip.sh            # Install Python dependencies and package
   make venv-status            # Check environment activation state
   

2. Development Workflow:

   make test           # Run comprehensive test suite (20+ tests)
   make update         # Pull latest changes from upstream
   make status         # Check git status
   

3. TDD Workflow:

   make tdd-start NUM=X    # Start working on issue X
   make tdd-add-test       # Generate tests for current issue
   make tdd-status         # Check workspace status
   make tdd-finish         # Complete issue and integrate tests
   

4. Issue Management:

   make list-issues        # Show all Gitea issues
   make list-open-issues   # Show active backlog
   make show-issue NUM=X   # Detailed issue view
   make test-coverage NUM=X # Analyze test coverage for issue
   

5. Building:

   make build          # Build the package
   make clean          # Clean build artifacts
   

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MarkiTect represents a significant evolution toward treating documentation as structured, validatable, and reusable data rather than simple text files, with robust tooling for large-scale content management and automation.

Note: This digest is maintained using Claude Code. Run make update-digest to refresh with latest project information.