2 Commits

Author	SHA1	Message	Date
tegwick	1d86bf1bbd	fix: eliminate all test suite warnings - Issue #129 ... 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>	2025-10-06 02:11:28 +02:00
tegwick	a98e2fa329	feat: create Datamodel Optimization Specialist Agent - Issue #127 ... Based on successful IssueActivity optimization (Issue #126), created a comprehensive Claude Code subagent specialized in datamodel enhancement: Agent Documentation (docs/sub_agents/datamodel_optimizer.md): - 4-phase optimization methodology (Discovery, Analysis, Enhancement, Validation) - Core patterns: property-based formatting, serialization consolidation - Integration framework with Claude Code ecosystem - Success metrics and implementation roadmap Practical Implementation Tool (tools/datamodel_optimizer.py): - AST-based datamodel discovery engine - Usage pattern analysis with impact scoring - Multi-format reporting (summary, detailed, JSON) - CLI interface for interactive and batch processing Real Codebase Validation: - Analyzed 97 datamodels in current codebase - Identified 350 usage patterns and 119 optimization opportunities - Potential 518 lines of code reduction - Correctly recognized IssueActivity optimizations from Issue #126 Core Capabilities: - Property-based formatting consolidation - Verbose serialization → single method calls - Test data consistency (dict mocks → proper objects) - Business logic encapsulation Agent provides systematic, reusable framework for datamodel optimization across any codebase while preserving interface compatibility. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-10-05 14:05:48 +02:00