# 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 (COMPLETED) - All 5 CLI commands implemented with 81.4/100 performance baseline ### 🎯 **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:** ```bash 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:** ```bash make test # Run comprehensive test suite (20+ tests) make update # Pull latest changes from upstream make status # Check git status ``` 3. **TDD Workflow:** ```bash 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:** ```bash 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:** ```bash 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.