def overview(self, request, project_id, cluster_id, node_ip):
""" 节点指标总览 """
params = self.params_validate(FetchMetricOverviewSLZ)
# 默认包含 container_count, pod_count
response_data = {'container_count': '0', 'pod_count': '0'}
container_pod_count = prom.get_container_pod_count(cluster_id, node_ip)
for count in container_pod_count.get('result') or []:
for k, v in count['metric'].items():
if k == 'metric_name' and count['value']:
response_data[v] = count['value'][1]
# 默认使用全维度，若指定则使用指定的维度
dimensions = params.get('dimensions') or [
dim for dim in constants.MetricDimension
]
for dimension in dimensions:
if dimension not in constants.NODE_DIMENSIONS_FUNC:
raise error_codes.APIError(
_("节点指标维度 {} 不合法").format(dimension))
dimension_func = constants.NODE_DIMENSIONS_FUNC[dimension]
response_data[dimension] = dimension_func(cluster_id, node_ip)
return Response(response_data)
def overview(self, request, project_id, cluster_id):
"""节点列表快照数据
"""
data = self.get_validated_data(request)
ip = data["res_id"]
# 默认包含container_count, pod_count
data = {
"container_count": "0",
"pod_count": "0",
}
container_pod_count = prometheus.get_container_pod_count(
cluster_id, ip)
for count in container_pod_count.get("result") or []:
for k, v in count["metric"].items():
if k == "metric_name" and count["value"]:
data[v] = count["value"][1]
# 其他维度数据动态请求
dimensions_func = {
"cpu_usage": prometheus.get_node_cpu_usage,
"memory_usage": prometheus.get_node_memory_usage,
"disk_usage": prometheus.get_node_disk_usage,
"diskio_usage": prometheus.get_node_diskio_usage,
"mesos_memory_usage": prometheus.mesos_agent_memory_usage,
"mesos_cpu_usage": prometheus.mesos_agent_cpu_usage,
"mesos_ip_remain_count": prometheus.mesos_agent_ip_remain_count,
}
# 默认4个维度, 和老接口兼容
dimensions = request.GET.get("dimensions")
if not dimensions:
dimensions = [
"cpu_usage", "memory_usage", "disk_usage", "diskio_usage"
]
else:
dimensions = dimensions.split(",")
for dimension in dimensions:
if dimension not in dimensions_func:
raise error_codes.APIError(_("dimension not valid"))
func = dimensions_func[dimension]
result = func(cluster_id, ip)
data[dimension] = result
return response.Response(data)