This is patch 3 of 3 to change the internal usage of the terms Bay and BayModel. This patch updates Bay to Cluster in DB and Object as well as all the usages. No functionality should be changed by this patch, just naming and db updates. Change-Id: Ife04b0f944ded03ca932d70e09e6766d09cf5d9f Implements: blueprint rename-bay-to-cluster
167 lines
5.4 KiB
Python
167 lines
5.4 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import ast
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from magnum.common import utils
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from magnum.conductor import k8s_api as k8s
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from magnum.conductor import monitors
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class K8sMonitor(monitors.MonitorBase):
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def __init__(self, context, cluster):
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super(K8sMonitor, self).__init__(context, cluster)
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self.data = {}
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self.data['nodes'] = []
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self.data['pods'] = []
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@property
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def metrics_spec(self):
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return {
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'memory_util': {
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'unit': '%',
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'func': 'compute_memory_util',
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},
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'cpu_util': {
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'unit': '%',
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'func': 'compute_cpu_util',
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},
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}
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def pull_data(self):
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k8s_api = k8s.create_k8s_api(self.context, self.cluster)
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nodes = k8s_api.list_namespaced_node()
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self.data['nodes'] = self._parse_node_info(nodes)
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pods = k8s_api.list_namespaced_pod('default')
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self.data['pods'] = self._parse_pod_info(pods)
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def _compute_res_util(self, res):
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res_total = 0
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for node in self.data['nodes']:
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res_total += node[res]
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res_reserved = 0
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for pod in self.data['pods']:
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res_reserved += pod[res]
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if res_total == 0:
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return 0
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else:
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return res_reserved * 100 / res_total
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def compute_memory_util(self):
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return self._compute_res_util('Memory')
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def compute_cpu_util(self):
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return self._compute_res_util('Cpu')
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def _parse_pod_info(self, pods):
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"""Parse pods and retrieve memory and cpu details about each pod
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:param pods: The output of k8s_api.list_namespaced_pod()
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For example:
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{
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'items': [{
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'status': {
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'container_statuses': None,
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'pod_ip': None,
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'phase': 'Pending',
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'message': None,
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'conditions': None,
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},
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'spec': {
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'containers': [{
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'image': 'nginx',
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'resources': {'requests': None,
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'limits': "{u'cpu': u'500m',
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u'memory': u'1280e3'}"},
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}],
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},
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'api_version': None,
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}],
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'kind': 'PodList',
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}
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The above output is the dict form of:
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k8sclient.client.models.v1_pod_list.
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V1PodList object
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:return: Memory size of each pod. Example:
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[{'Memory': 1280000.0, cpu: 0.5},
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{'Memory': 1280000.0, cpu: 0.5}]
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"""
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pods = pods.items
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parsed_containers = []
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for pod in pods:
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containers = pod.spec.containers
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for container in containers:
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memory = 0
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cpu = 0
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resources = container.resources
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limits = resources.limits
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if limits is not None:
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# Output of resources.limits is string
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# for example:
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# limits = "{cpu': '500m': 'memory': '1000Ki'}"
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limits = ast.literal_eval(limits)
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if limits.get('memory', ''):
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memory = utils.get_k8s_quantity(limits['memory'])
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if limits.get('cpu', ''):
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cpu = utils.get_k8s_quantity(limits['cpu'])
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container_dict = {
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'Memory': memory,
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'Cpu': cpu,
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}
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parsed_containers.append(container_dict)
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return parsed_containers
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def _parse_node_info(self, nodes):
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"""Parse nodes to retrieve memory and cpu of each node
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:param nodes: The output of k8s_api.list_namespaced_node()
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For example:
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{
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'items': [{
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'status': {
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'phase': None,
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'capacity': "{u'cpu': u'1',
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u'memory': u'2049852Ki'}",
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},
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}],
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'api_version': None,
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'kind': 'NodeList',
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'api_version': 'v1',
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}
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The above output is the dict form of:
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k8sclient.client.models.v1_node_list.
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V1NodeList object
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:return: CPU core number and Memory size of each node. Example:
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[{'cpu': 1, 'Memory': 1024.0},
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{'cpu': 1, 'Memory': 1024.0}]
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"""
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nodes = nodes.items
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parsed_nodes = []
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for node in nodes:
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# Output of node.status.capacity is strong
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# for example:
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# capacity = "{'cpu': '1', 'memory': '1000Ki'}"
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capacity = ast.literal_eval(node.status.capacity)
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memory = utils.get_k8s_quantity(capacity['memory'])
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cpu = int(capacity['cpu'])
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parsed_nodes.append({'Memory': memory, 'Cpu': cpu})
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return parsed_nodes
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