Brummer MCP Server

TUI Performance Baseline Report =============================== Date: 2025-07-07 19:30:00 CDT Git Commit: 16bc754 Go Version: go1.24.2 linux/amd64 Platform: Linux 6.6.87.2-microsoft-standard-WSL2 Test Execution Times =================== Normal Test Execution: - Total Time: 10.160s - Package: github.com/standardbeagle/brummer/internal/tui Race Detector Test Execution: - Total Time: 14.0s (cached result shown) - Overhead: +37.8% due to race detection instrumentation Individual Test Performance: - TestViewConstants: 0.00s (instant) - TestModelCreation: 7.15s (normal), 10.51s (race) - SLOW - TestModelViewSwitching: 2.82s (normal), 3.47s (race) - MODERATE - TestFilterValidation: 0.00s (instant) - TestKeyMappings: 0.00s (instant) - TestSlashCommands: 0.00s (instant) - TestErrorMessageFormatting: 0.00s (instant) - TestLogPriorityFiltering: 0.00s (instant) - TestProcessStatusFormatting: 0.00s (instant) - TestURLValidation: 0.00s (instant) - TestConfigurationDisplay: 0.00s (instant) - TestHelpContent: 0.00s (instant) - TestColorTheme: 0.00s (instant) - TestSystemMessages: 0.05s (fast) - TestSystemMessageLimit: 0.00s (instant) Performance Hotspots: - ModelCreation: 7.15s (70% of total time) - ModelViewSwitching: 2.82s (28% of total time) - All other tests: <0.1s (2% of total time) Memory Profile Analysis ====================== Total Memory Allocated: 4,115.38kB Top Memory Consumers: 1. I/O Operations (25.28% - 1,040.17kB): - io.copyBuffer: 528.17kB (12.83%) - os.(*File).WriteTo: 1,040.17kB (25.28%) - Command execution I/O overhead 2. Model Creation (25.28% - 1,024.13kB): - NewModel/NewModelWithView: 1,024.13kB (24.89%) - TestModelCreation: 1,024.13kB (24.89%) - Large Model struct allocation 3. System Messages (12.49% - 514kB): - addSystemMessage: 514kB (12.49%) - TestSystemMessageLimit: 514kB (12.49%) - Message buffer management 4. Lipgloss Styling (12.44% - 512.10kB): - Style.Copy: 512.10kB (12.44%) - Style operations during rendering 5. Runtime Overhead (12.44% - 513kB): - allocm: 513kB (12.47%) - Go runtime allocation management Memory Allocation Patterns: - Large upfront allocations for Model creation - Moderate ongoing allocations for styling - I/O buffers for command execution - No obvious memory leaks in test scenarios Performance Characteristics ========================== Model Creation Performance: - Time: 7.15s (slow) - Memory: 1,024.13kB (large struct) - Likely includes I/O setup and dependency initialization View Switching Performance: - Time: 2.82s (moderate) - Suggests complex rendering or state updates Test Coverage Impact: - Coverage: 3.8% (very low) - Most performance-critical paths untested - Limited insight into production performance Benchmark Results ================ No benchmarks defined in test suite. Recommendation: Add benchmarks for: - Model creation - View switching - Rendering operations - Event processing - Memory usage patterns Concurrency Performance ====================== Race Detector Overhead: - Normal: 10.160s - Race Detection: 14.0s - Overhead: +37.8% (acceptable for race detection) No concurrent performance tests defined. Cannot assess: - Lock contention - Goroutine scaling - Channel performance - Event bus throughput Performance Bottlenecks Identified ================================== 1. Model Creation (70% of test time): - Large struct allocation - Complex initialization - I/O setup overhead 2. Value Receiver Copying: - 39 methods create Model copies - RWMutex copied with each call - Potential performance impact from copying 3. Limited Performance Testing: - No benchmarks for core operations - No concurrent performance tests - No production-like scenarios Performance Baseline Metrics ============================ CPU Usage: - Test execution: Single-threaded during tests - Model creation: CPU-intensive - Rendering: Not measured in tests Memory Usage: - Peak allocation: 4,115.38kB during tests - Model size: ~1MB for full initialization - No memory leaks detected in test scenarios Goroutine Usage: - Test scenarios: Minimal goroutine creation - Production usage: Unknown (not tested) Performance Recommendations =========================== 1. Add comprehensive benchmarks: - Model creation/destruction - View switching - Rendering operations - Event processing 2. Optimize Model creation: - Lazy initialization where possible - Reduce struct size - Optimize dependency setup 3. Measure concurrent performance: - Add concurrent access benchmarks - Test lock contention - Measure goroutine scaling 4. Profile production scenarios: - Real TUI usage patterns - Event processing throughput - Memory usage over time Baseline Validation ================== Performance baseline successfully established: ✅ Test execution times recorded ✅ Memory allocation patterns documented ✅ Performance hotspots identified ✅ Race detector overhead measured ✅ Optimization opportunities noted Current State Assessment: - Functional but not performance-optimized - Significant opportunity for improvement - No critical performance issues blocking development - Need for comprehensive performance testing --- Performance Baseline Complete Generated: 2025-07-07 19:30:00 CDT Ready for TUI Model Pointer Receiver Conversion