markitect-main/ProjectStatusDigest.md

# MarkiTect Project - Status Digest

**Version:** 0.1.0
**Last Updated:** 2025-09-23
**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)
- **Reusable Python package** designed for CLI, service offerings, and third-party integration
- **TDD approach** with comprehensive test coverage and pytest framework
- **Modern packaging** using `pyproject.toml` and semantic versioning
- **Minimal dependencies** with `markdown-it-py` as primary parser

### TDD Infrastructure (tddai Library)
- **Complete TDD workspace management** with Python library architecture
- **Issue-driven development** with Gitea API integration
- **AI-assisted test generation** framework for automated TDD workflows
- **Workspace lifecycle management** from issue creation to test integration
- **CLI interface** (`tddai_cli.py`) for seamless command-line operations

### MarkiTect CLI (Command-Line Interface)
- **SQLite database** for temporary, in-memory operations
- **GraphQL API** using `graphene` library for read/write operations
- **SQLAlchemy ORM** for data modeling (MarkdownFile, SchemaFile, AST content)
- **JSON Schema validation** using `jsonschema` library

## 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
- **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
├── 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 (20+ tests)
│   ├── test_parser.py   # Parser tests
│   ├── test_issue_11_*.py # TDD infrastructure 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
   ```

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.