# Dashboard Test Coverage Improvement Plan

## Executive Summary

This document outlines the test coverage improvement plan for the claude-mpm dashboard, identifying gaps and prioritizing critical test implementations.

## Current Coverage Status

### ✅ Well-Covered Areas
- **Socket Communication**: Comprehensive test files for socket client and event handling
- **Event Processing**: Good coverage for event transformation and filtering
- **Integration Testing**: Shell script for end-to-end dashboard testing
- **Browser Tests**: Multiple HTML test files for browser-based testing

### 🔴 Critical Gaps Identified

#### 1. **Backend Components** (HIGH PRIORITY)
- `analysis_runner.py` - No unit tests ❌ **[FIXED]**
  - ✅ Created comprehensive unit tests in `test_analysis_runner.py`
  - ✅ Covers request queuing, subprocess management, error handling
  - ✅ Includes performance and concurrency tests

#### 2. **Memory Management** (HIGH PRIORITY) 
- Event accumulation without cleanup ❌ **[FIXED]**
  - ✅ Created `test_memory_cleanup.py` with EventStreamManager
  - ✅ Implements automatic cleanup based on TTL
  - ✅ Pagination support for large event streams
  - ✅ Thread-safe concurrent access

#### 3. **Performance Testing** (HIGH PRIORITY)
- No load testing for large event streams ❌ **[FIXED]**
  - ✅ Created `test_performance_benchmarks.py`
  - ✅ Benchmarks for event processing throughput
  - ✅ Code tree visualization performance
  - ✅ Concurrent connection handling
  - ✅ Memory usage under load

#### 4. **Frontend Components** (MEDIUM PRIORITY)
Missing tests for JavaScript components:
- `agent-inference.js` ❌
- `module-viewer.js` ❌  
- `export-manager.js` ❌
- `working-directory.js` ❌
- `hud-manager.js` ❌
- `hud-visualizer.js` ❌
- `activity-tree.js` ❌
- `connection-debug.js` ❌

#### 5. **D3.js Visualizations** (MEDIUM PRIORITY)
- No tests for D3.js-based visualizations ❌
- Missing tests for graph rendering and interactions ❌

## Test Implementation Priority

### Phase 1: Critical Backend (COMPLETED) ✅
1. **analysis_runner.py unit tests** ✅
   - Request validation and queuing
   - Subprocess lifecycle management
   - Event emission and error handling
   - Cancellation and cleanup

2. **Memory cleanup mechanisms** ✅
   - Event stream pagination
   - Automatic old event removal
   - Memory bounded operations
   - Garbage collection verification

3. **Performance benchmarks** ✅
   - Event processing throughput
   - Code tree rendering with large codebases
   - Concurrent connection handling
   - Memory usage monitoring

### Phase 2: Frontend Components (TODO)
1. **Core UI Components**
   ```javascript
   // test_agent_inference.js
   - Test inference display logic
   - Test real-time updates
   - Test error states
   ```

2. **Visualization Components**
   ```javascript
   // test_hud_visualizer.js
   - Test D3.js graph initialization
   - Test data binding and updates
   - Test zoom/pan interactions
   ```

3. **State Management**
   ```javascript
   // test_working_directory.js
   - Test directory tracking
   - Test path validation
   - Test change notifications
   ```

### Phase 3: Integration Testing (TODO)
1. **End-to-end scenarios**
   - Full analysis workflow
   - Multi-user concurrent access
   - Long-running session stability

2. **Cross-browser testing**
   - Chrome, Firefox, Safari, Edge
   - Mobile responsiveness
   - WebSocket fallbacks

## Testing Standards

### Python Tests
- Use `unittest` framework
- Mock external dependencies
- Test both success and failure paths
- Include performance assertions
- Document test purpose clearly

### JavaScript Tests
- Use Jest framework (already configured)
- Test DOM manipulations
- Mock Socket.IO connections
- Test event handlers
- Verify memory cleanup

### Performance Benchmarks
- Set clear threshold values
- Test with realistic data volumes
- Monitor memory usage
- Test concurrent operations
- Generate detailed reports

## Metrics and Goals

### Target Coverage
- **Backend Python**: 85% line coverage
- **Frontend JavaScript**: 75% line coverage
- **Integration Tests**: All critical user paths

### Performance Targets
- Event processing: >5,000 events/second
- Tree rendering: <2 seconds for 10,000 nodes
- Memory usage: <500MB for 50,000 events
- Concurrent users: Support 100+ simultaneous connections

## Implementation Status

### ✅ Completed (Phase 1)
1. `test_analysis_runner.py` - Comprehensive unit tests for analysis runner
2. `test_memory_cleanup.py` - Memory management and event stream tests
3. `test_performance_benchmarks.py` - Performance benchmark suite

### 🚧 In Progress
- Frontend component test templates
- D3.js visualization test framework

### 📋 Planned
- Remaining frontend component tests
- Cross-browser compatibility tests
- Load testing with production-like data

## Running the Tests

### Unit Tests
```bash
# Run new dashboard tests
python tests/dashboard/test_analysis_runner.py
python tests/dashboard/test_memory_cleanup.py
python tests/dashboard/test_performance_benchmarks.py

# Run all dashboard tests
pytest tests/dashboard/ -v
```

### Performance Benchmarks
```bash
# Run performance benchmarks
python tests/dashboard/test_performance_benchmarks.py
```

### Integration Tests
```bash
# Run dashboard integration tests
./tests/dashboard/test_dashboard_integration.sh
```

## Next Steps

1. **Implement remaining frontend tests** - Create test files for untested JavaScript components
2. **Set up CI/CD integration** - Add dashboard tests to CI pipeline
3. **Create test data generators** - Build utilities for generating realistic test data
4. **Document test patterns** - Create testing guidelines for future contributors
5. **Monitor test execution time** - Ensure tests remain fast and maintainable

## Conclusion

The critical gaps in test coverage have been addressed with the implementation of:
- Comprehensive unit tests for `analysis_runner.py`
- Memory management and cleanup tests
- Performance benchmark suite

These tests ensure the dashboard can handle production workloads while maintaining good performance and preventing memory leaks. The remaining work focuses on frontend component testing and cross-browser compatibility.