An advanced markdown engine
tegwick
1d86bf1bbd
Comprehensive fix for test suite warnings across multiple issue test files: ### SQLite3 Date Adapter Warnings (Python 3.12) - Fixed 101 warnings in Issue 113 (activity_tracker.py) - Fixed 55 warnings in Issue 114 (allocation_engine.py) - Fixed 148 warnings in Issue 122 (worktime_tracker.py + test file) - Fixed 18 warnings in Issue 124 (day_wrapup_commands.py + worktime_tracker.py) ### Pytest-asyncio Configuration - Added asyncio_default_fixture_loop_scope = function to pytest.ini - Eliminates pytest-asyncio deprecation warning ### Runtime Warnings for Unawaited Coroutines - Fixed 2 warnings in Issue 59 (gitea plugin async mocking) - Enhanced AsyncTestCase with better coroutine cleanup - Improved async mock management in test utilities ### Technical Changes - Convert Python date/datetime objects to ISO strings before SQLite queries - Use .isoformat() with defensive hasattr() checks for backward compatibility - Simplified async test mocking to avoid coroutine creation - Enhanced cleanup_async_mocks() function for comprehensive cleanup ### Results - Before: ~324 warnings across test suite - After: 0 warnings - completely clean test suite - All 216+ tests pass with zero warning noise 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| cli | ||
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| cost_notes | ||
| docs | ||
| domain | ||
| examples | ||
| gitea | ||
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| infrastructure | ||
| markitect | ||
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| tddai | ||
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| =0.21.0 | ||
| CAPABILITIES.md | ||
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| CONCEPT.md | ||
| CONFIG.md | ||
| DEPENDENCIES.md | ||
| install-claude.sh | ||
| install-cursor.sh | ||
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| install-nvm.sh | ||
| install-pip.sh | ||
| INSTALL.md | ||
| install.py | ||
| install.sh | ||
| LICENSE.md | ||
| Makefile | ||
| pyproject.toml | ||
| pytest-timeout.ini | ||
| pytest.ini | ||
| README.md | ||
| RELEASE.md | ||
| release.py | ||
| tddai-setup.sh | ||
| tddai_cli.py | ||
| TESTING.md | ||
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