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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
  • Database query commands: query, query-files, query-sections for powerful data access
  • Cache management commands: cache-info, cache-clean, cache-invalidate for performance control
  • Document manipulation: --add-section, --update-front-matter for AST modifications
  • Performance optimization: AST cache system with 60-85% faster processing
  • 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

✅ Major Milestones Completed

  • Issue #1: Database initialization and front matter parsing (9 tests)
  • Issue #2: Fast Document Loading & CLI Manipulation ⭐ MAJOR (11 tests)
  • Issue #12: CLI Entry Point and Basic Commands (part of 52 total tests)
  • Issue #13: Cache Management CLI Commands ⭐ MAJOR (15 tests) - TDD8 Complete
  • Issue #14: Database Query CLI Interface ⭐ MAJOR (35 tests) - TDD8 Complete
  • TDD Infrastructure: Complete workflow automation (32 tests)
  • CLI Implementation Milestone: ✅ COMPLETED - All CLI core functionality delivered
  • Total Foundation: 140+ tests passing, complete document manipulation and cache management workflow

🚀 Strategic Roadmap Active

4 Subprojects targeting HolyGrailRequirement (arc42 documentation system)

Subproject 1: Schema-Driven Architecture (Milestone #2)

  • Issue #5: Generate Schema from Markdown File (HIGH)
  • Issue #7: Validate Markdown Against Schema (HIGH)
  • Issue #8: Get Validation Errors (HIGH)

Subproject 2: Template & Stub Generation (Milestone #3)

  • Issue #6: Generate Markdown Stub from Schema (HIGH)

Subproject 3: Document Relationships (Milestone #4)

  • Issue #4: Retrieve All Stored Files (MEDIUM)
  • Issue #15: AST Query and Analysis CLI (CRITICAL)

Subproject 4: Plan-Actual Comparison Engine (Milestone #5)

  • Issue #9: Expose GraphQL Read Interface (LOW)
  • Issue #10: Expose GraphQL Write Interface (LOW)
  • Issue #16: Performance Validation CLI (MEDIUM)

🎯 Next Priority

  • Issue #15: AST Query and Analysis CLI (CRITICAL) - Next major CLI milestone
  • Schema-Driven Architecture milestone preparation

📊 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

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.

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