tegwick
35cbe715a5
Complete TDD implementation of core MarkiTect functionality: **Database Module (markitect/database.py):** - DatabaseManager class with SQLite database initialization - markdown_files table with proper schema (id, filename, front_matter, content, created_at) - Front matter storage as JSON with content separation - File storage, retrieval, and listing methods - Comprehensive error handling **Front Matter Module (markitect/frontmatter.py):** - FrontMatterParser class with YAML front matter parsing - Clean separation of metadata from markdown content - Graceful handling of invalid YAML and missing front matter - Regex-based parsing with proper delimiter handling **Dependencies:** - Added PyYAML for front matter parsing - Updated pyproject.toml with new dependency **Test Coverage:** - 9 comprehensive tests covering all functionality - Database initialization and schema validation - Front matter parsing with Issue #1 example content - Integrated workflow testing (storage/retrieval) - Error handling for edge cases **TDD Process:** - RED phase: 8 failing tests defining requirements - GREEN phase: Minimal implementation making all tests pass - Validation: Complete workflow verified with example content This implementation provides the foundation for all subsequent MarkiTect features, handling the exact example from Issue #1 specification. Issue #1: Initialize Database and Store Example Markdown File coulomb/markitect_project#1 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
MarkiTect - Advanced Markdown Engine
Your Markdown, Redefined.
MarkiTect is an open-source tool designed to bring structural integrity and consistency to your Markdown files. It empowers you to stop treating your documentation as plain text and start managing it as structured data.
With MarkiTect, you can define a schema to enforce the exact structure of your documents—ensuring every file has the right sections, headings, and hierarchy. This makes it easier than ever to maintain, validate, and automate large-scale documentation projects. Build with confidence, not with manual checks.