get_performance_stats
Retrieve performance metrics and statistics for image processing operations to monitor efficiency and optimize workflows.
Instructions
获取性能统计信息
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- main.py:793-806 (handler)MCP tool handler and registration for 'get_performance_stats'. Calls the utility function from utils.performance and formats the result as a JSON string.
@mcp.tool() def get_performance_stats() -> str: """获取性能统计信息""" try: stats = utils_get_performance_stats() return json.dumps({ "success": True, "data": stats }, ensure_ascii=False, indent=2) except Exception as e: return json.dumps({ "success": False, "error": f"获取性能统计失败: {str(e)}" }, ensure_ascii=False, indent=2) - utils/performance.py:351-358 (helper)Core helper function that aggregates performance statistics from global monitor, cache, and resource manager instances.
def get_performance_stats() -> Dict[str, Any]: """获取完整的性能统计""" return { "monitor": performance_monitor.get_stats(), "cache": image_cache.get_stats(), "resources": resource_manager.get_stats(), "timestamp": time.time() } - main.py:85-85 (registration)Import of the performance stats utility function used by the MCP tool handler.
from utils.performance import get_performance_stats as utils_get_performance_stats, reset_performance_stats as utils_reset_performance_stats