OPTIMIZATION_FEATURES.md•3.22 kB
# MCP-FreeCAD Optimization Features
This document outlines the optimization features implemented in the MCP-FreeCAD integration project.
## 1. Caching System
The caching system improves performance by storing frequently accessed resources and responses:
- **Implementation**: Time-to-live (TTL) cache with key-based lookup
- **Features**:
- Configurable TTL per entry
- Size-limited cache to prevent memory overflow
- Cache statistics tracking (hits, misses, hit rate)
- Cache invalidation by key or pattern
- **API Endpoints**:
- `GET /cache/stats`: View cache statistics and keys
- `POST /cache/clear`: Clear all cached data
- `DELETE /cache/item/{key}`: Remove specific item from cache
## 2. Recovery Mechanism
The recovery system improves reliability by handling transient failures:
- **Implementation**: Retry mechanism with exponential backoff
- **Features**:
- Configurable retry limits
- Exponential backoff with maximum delay
- Failure statistics tracking
- Async and sync operation support
- **Usage**:
- Used in API endpoints to handle FreeCAD connection issues
- Used in tool execution to ensure reliable operation
## 3. Performance Monitoring
The performance monitoring system provides insights into server performance:
- **Implementation**: Metrics collection with timing information
- **Features**:
- Request timing for all endpoints
- Error tracking and aggregation
- System resource monitoring (CPU, memory, disk)
- Slow endpoint identification
- **API Endpoints**:
- `GET /health`: Basic health check
- `GET /health/detailed`: Detailed system information
- `GET /diagnostics`: Complete performance overview
- `GET /diagnostics/slow_endpoints`: Identify bottlenecks
- `GET /diagnostics/errors`: Error analysis
- `POST /diagnostics/reset`: Reset performance counters
## 4. Testing Utilities
Testing tools to verify optimization functionality:
- **test_optimization.py**: Comprehensive test script for optimization features
- Tests health endpoints
- Tests cache functionality
- Tests performance monitoring
- Includes stress testing capability
## Configuration
Optimization features can be configured in the `config.json` file:
```json
{
"cache": {
"enabled": true,
"default_ttl": 30.0,
"max_size": 100
},
"recovery": {
"max_retries": 5,
"retry_delay": 2.0,
"backoff_factor": 1.5,
"max_delay": 30.0
},
"performance": {
"monitoring_enabled": true,
"metrics_retention": 3600,
"sample_rate": 1.0
}
}
```
## Impact on Performance
- **Response Time**: Caching reduces response time for frequently accessed resources
- **Reliability**: Recovery mechanism improves system stability and reduces failures
- **Observability**: Performance monitoring provides insights into system health
- **Resource Usage**: Optimized to minimize CPU and memory overhead
## Future Improvements
- Add more sophisticated caching strategies (LRU, LFU)
- Implement distributed caching for multi-instance deployments
- Enhance recovery with more advanced circuit breaker patterns
- Integrate with external monitoring systems (Prometheus, Grafana)
- Add user-configurable alerting based on performance thresholds