Registry Review MCP Server

# Test Suite Optimization - Executive Summary **Date**: 2025-11-20 **Objective**: Optimize test suite from 56.6s to <15s **Status**: Analysis complete, ready for implementation --- ## 📊 Current State ``` Tests: 223 active (273 total, 50 deselected) Execution Time: 56.6s (baseline) Pass Rate: 99.1% (221 passed, 2 failed) Async Tests: 104 (46.6%) Slowest Test: 21.8s (test_start_review_full_workflow) ``` **Key Finding**: Suite is well-structured and optimization-ready. No major refactoring needed. --- ## 🎯 Optimization Strategy ### Three-Tier Approach **Tier 1: Quick Wins** (1-2 hours) - Enable parallel execution with pytest-xdist - Optimize cleanup fixture scope - Skip marker tests by default - **Expected**: 56s → 20-25s (55-65% improvement) **Tier 2: Structural** (3-4 hours) - Split largest test file (1,083 lines) - Optimize slowest test (21.8s → 5-8s) - Cache document discovery results - Implement lazy fixture loading - **Expected**: 25s → 12-15s (40-50% further improvement) **Tier 3: Advanced** (6-8 hours, optional) - Session-scope extraction fixtures - Test result caching - Parallel async execution - **Expected**: 15s → 8-10s (20-40% further improvement) --- ## ✅ Immediate Next Steps 1. **Install pytest-xdist**: `pip install pytest-xdist` 2. **Run tests in parallel**: `pytest tests/ -n 4` 3. **Update pytest.ini**: Skip marker tests by default 4. **Change cleanup scope**: Module instead of function 5. **Validate**: Run suite 3 times, ensure stability **Time to implement**: 30 minutes **Expected result**: 20-25 seconds execution time --- ## 📈 Performance Projections | Stage | Time | Reduction | Effort | |-------|------|-----------|--------| | Current | 56.6s | - | - | | Tier 1 | 20-25s | 55-65% | 1-2h | | Tier 2 | 12-15s | 73-79% | +3-4h | | Tier 3 | 8-10s | 83-86% | +6-8h | **Recommendation**: Implement Tier 1, evaluate if further optimization needed. --- ## 🚨 Risk Assessment ### Low Risk ✅ - Parallel execution (tests already isolated) - Skip marker tests (clear separation) - File splitting (pure refactoring) ### Medium Risk ⚠️ - Cleanup scope change (verify no state leakage) - Workflow test splitting (may affect coverage) ### High Risk 🔴 - Filesystem mocking (may miss real bugs) - Defer - Complex async changes (debugging complexity) - Defer --- ## 📝 Key Documents 1. **TEST_SUITE_OPTIMIZATION_REPORT.md** - Full analysis (7,000+ words) 2. **TEST_OPTIMIZATION_CHECKLIST.md** - Step-by-step implementation guide 3. **TESTING_QUICK_REFERENCE.md** - Developer quick reference 4. **This file** - Executive summary --- ## 💡 Key Insights ### Strengths ✅ Modern async/await patterns throughout ✅ Session-scoped fixtures already implemented ✅ Automatic cost tracking infrastructure ✅ Proper test isolation with cleanup ✅ Three-tier architecture defined ### Opportunities ⚠️ No parallel execution (biggest win) ⚠️ Function-scoped cleanup (unnecessary overhead) ⚠️ Largest test file needs splitting ⚠️ Slowest test needs optimization ⚠️ Marker tests block default runs --- ## 🎯 Success Criteria ### Primary Goal ✅ Test suite executes in <15 seconds ### Secondary Goals ✅ Maintain 100% test pass rate ✅ No increase in flakiness ✅ Preserve test isolation ✅ Maintain code coverage --- ## 📞 Questions? Refer to: - **Implementation details**: TEST_OPTIMIZATION_CHECKLIST.md - **Technical analysis**: TEST_SUITE_OPTIMIZATION_REPORT.md - **Daily usage**: TESTING_QUICK_REFERENCE.md - **Cost tracking**: docs/TEST_COST_OPTIMIZATION.md --- **Next Action**: Implement Tier 1 Quick Wins (30 minutes) **Expected Result**: 56s → 20-25s execution time **Ready to Begin**: ✅ Yes