- Create comprehensive project status digest documentation - Add make update-digest target with Claude Code prerequisite check - Include current architecture, features, and development approach - Document repository structure and getting started guide - Add digest update workflow for version releases 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
130 lines
4.7 KiB
Markdown
130 lines
4.7 KiB
Markdown
# MarkiTect Project - Status Digest
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**Version:** 0.1.0
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**Last Updated:** 2025-09-22
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**Tagline:** "Your Markdown, Redefined"
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## Core Vision
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Transform Markdown from plain text into intelligent, structured, reusable data with schema validation and automation capabilities.
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## Architecture Overview
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### MarkiTect Library (Python Core)
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- **Reusable Python package** designed for CLI, service offerings, and third-party integration
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- **TDD approach** with comprehensive test coverage
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- **Modern packaging** using `pyproject.toml` and semantic versioning
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- **Minimal dependencies** with `markdown-it-py` as primary parser
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### MarkiTect CLI (Command-Line Interface)
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- **SQLite database** for temporary, in-memory operations
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- **GraphQL API** using `graphene` library for read/write operations
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- **SQLAlchemy ORM** for data modeling (MarkdownFile, SchemaFile, AST content)
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- **JSON Schema validation** using `jsonschema` library
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## Key Features & Components
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### Core Functionality
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- **AbstractSyntaxTree** processing and manipulation
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- **MarkdownParser** using `markdown-it-py` for detailed AST generation
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- **JsonSchemaValidator** for enforcing document structure
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- **ChunkInclusion** system for modular content composition
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- **StaticSiteGenerator** integration capabilities
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### Schema Operations
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- **Generate schemas** from existing Markdown at specified nesting depths
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- **Validate Markdown** against defined schemas
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- **Generate stub files** from schemas with placeholder content
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- **InclusionStub** handling for modular document architecture
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### GraphQL Interface
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- **Query operations** for retrieving Markdown files, schemas, and AST data
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- **Mutation operations** for adding/updating content in database
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- **Real-time validation** and schema checking
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## Development Approach
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### Test-Driven Development
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- Comprehensive **TDD guide** integrated into project workflow
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- **Test-first approach** for all new features
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- **High coverage** requirements for public APIs
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- **Integration tests** for key workflows
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### Markdown Feature Support (MF-1 through MF-10)
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Complete specification coverage including:
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- Headings and sections structure
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- Text formatting (bold, italic, strikethrough)
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- Lists (ordered, unordered, task lists)
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- Links, images, and media handling
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- Code blocks and syntax highlighting
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- Tables and complex formatting
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- Footnotes and reference systems
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## Project Status
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### Current State
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- **Early development phase** with foundational parser implemented
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- **Comprehensive documentation** and architecture planning complete
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- **Build system** with sophisticated Makefile for development workflow
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- **Virtual environment management** with activation detection
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### Social Integration
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- **CoulombSocial participation** since September 2025
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- **GitLab issues integration** for use case tracking
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- **Open-source development** model with collaborative wiki
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## Technical Foundation
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### Development Tools
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- **Python 3.8+** with modern tooling (Black, Ruff, mypy)
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- **Make-based workflow** with intelligent environment detection
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- **Git submodules** for wiki documentation management
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- **Automated testing** and CI/CD pipeline planning
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### Brand Identity
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- **Professional visual identity** with 3D "M" logo incorporating Markdown symbols
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- **Color palette**: Deep teal/navy (primary), vibrant orange, lime green
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- **Core pillars**: Structural Integrity, Consistency, Reusability, Automation
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## Repository Structure
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```
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markitect_project/
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├── markitect/ # Main Python package
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│ ├── __init__.py
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│ └── parser.py # Core parsing functionality
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├── tests/ # Test suite
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│ └── test_parser.py # Parser tests
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├── wiki/ # Git submodule with comprehensive documentation
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├── Makefile # Development workflow automation
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├── pyproject.toml # Python package configuration
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├── ProjectStatusDigest.md # This document
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└── README.md # Project overview
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```
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## Getting Started
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1. **Environment Setup:**
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```bash
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make setup # Create venv and install dependencies
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make venv-status # Check environment activation state
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```
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2. **Development Workflow:**
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```bash
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make test # Run test suite
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make update # Pull latest changes from upstream
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make status # Check git status
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```
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3. **Building:**
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```bash
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make build # Build the package
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make clean # Clean build artifacts
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```
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---
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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.
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> **Note:** This digest is maintained using Claude Code. Run `make update-digest` to refresh with latest project information. |