tegwick
f4b32ded8a
PHASE 1.1 IMPLEMENTATION SUMMARY: ✅ Removed 200+ MagicMock pollution directories ✅ Fixed improper Path mocking in test_issue_13_cache_info_command.py ✅ Improved test mocking patterns (patch cache service vs global Path) ✅ Maintained 100% test success rate (307/307 tests passing) ✅ Prevented future pollution with better mocking strategy CHANGES: - Removed MagicMock/Path.cwd().__truediv__()/ directory tree - Updated 6 test methods to use proper service-level mocking - Replaced problematic patch('markitect.cli.Path') patterns - Added specific patch('markitect.cache_service.CacheDirectoryService.get_cache_stats') VALIDATION: - All 307 tests pass - No new MagicMock directories created during test runs - Zero risk, high impact infrastructure cleanup Implements: MAIN_BRANCH_OPTIMIZATION_GAMEPLAN.md Phase 1.1 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
MarkiTect - Advanced Markdown Engine
Your Markdown, Redefined.
MarkiTect transforms markdown from plain text into intelligent, structured data with performance optimization, schema validation, and relational querying capabilities. Stop treating documentation as text files—start managing it as a database.
Key Features:
- Lightning Performance: 60-85% faster document processing through intelligent AST caching
- Schema Validation: Enforce document structure and consistency
- Database Integration: Query markdown content with SQL-like operations
- CLI Tools: Complete command-line interface for automation and workflows
📚 Documentation
Quick Start: Getting Started · Command Reference
Architecture: Caching System · Performance Philosophy
Development: TDD Workflow · Contributing
Project Status: Current Status · Roadmap · Next Actions