get_cpu_usage_data
Retrieve CPU usage metrics for Alibaba Cloud ECS instances to monitor performance and identify resource utilization patterns.
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 |
|---|---|---|---|
| region | No | cn-beijing | |
| instance_ids | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- complete_fastmcp_server.py:232-253 (handler)Main MCP tool handler and registration for get_cpu_usage_data. Dynamically selects and calls CMS_GetCpuUsageData from cms_tools based on name matching.
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)}" - Helper function CMS_GetCpuUsageData that wraps the core metric query for CPU usage, invoked by the main handler.
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') - Core helper implementing the Alibaba Cloud CMS API call to fetch metric data (cpu_total for CPU usage).
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