get_cpu_usage_data
Retrieve CPU usage data for specified Alibaba Cloud ECS instances by providing region and instance IDs. Monitor and analyze performance metrics efficiently.
Instructions
获取ECS实例CPU使用率数据
Args:
region: 区域ID，如cn-beijing
instance_ids: ECS实例ID列表
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| instance_ids | No | ||
| region | No | cn-beijing |
Implementation Reference
- complete_fastmcp_server.py:231-254 (handler)Handler and registration for the 'get_cpu_usage_data' MCP tool. Dynamically calls the CMS CPU usage helper from cms_tools based on function name matching.@app.tool() def get_cpu_usage_data(region: str = "cn-beijing", instance_ids: List[str] = None) -> str: """获取ECS实例CPU使用率数据 Args: region: 区域ID，如cn-beijing instance_ids: ECS实例ID列表 """ try: sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'alibaba_cloud_ops_mcp_server')) from tools import cms_tools if not instance_ids: instance_ids = ["示例实例ID"] for tool_func in cms_tools.tools: if hasattr(tool_func, '__name__') and 'cpu' in tool_func.__name__.lower() and 'usage' in tool_func.__name__.lower(): result = tool_func(RegionId=region, InstanceIds=instance_ids) return str(result) return f"CPU使用率监控功能可用，region: {region}, 实例: {instance_ids}" except Exception as e: return f"CPU监控查询失败: {str(e)}"
- Core helper function implementing CPU usage data retrieval via Alibaba Cloud CMS API DescribeMetricLast. Includes Pydantic fields for schema validation. Invoked by the main handler.@tools.append def CMS_GetCpuUsageData( InstanceIds: List[str] = Field(description='AlibabaCloud ECS instance ID List'), RegionId: str = Field(description='AlibabaCloud region ID', default='cn-hangzhou') ): """获取ECS实例的CPU使用率数据""" return _get_cms_metric_data(RegionId, InstanceIds, 'cpu_total')
- Low-level helper that performs the actual CMS API call to fetch metric data (used for CPU, memory, disk, etc.). Called by CMS_GetCpuUsageData.def _get_cms_metric_data(region_id: str, instance_ids: List[str], metric_name: str): client = create_client(region_id) dimesion = [] for instance_id in instance_ids: dimesion.append({ 'instanceId': instance_id }) describe_metric_last_request = cms_20190101_models.DescribeMetricLastRequest( namespace='acs_ecs_dashboard', metric_name=metric_name, dimensions=json.dumps(dimesion), ) describe_metric_last_resp = client.describe_metric_last(describe_metric_last_request) return describe_metric_last_resp.body.datapoints
- Pydantic Field definitions providing input schema/validation for the CPU usage tool parameters.InstanceIds: List[str] = Field(description='AlibabaCloud ECS instance ID List'), RegionId: str = Field(description='AlibabaCloud region ID', default='cn-hangzhou') ):