729c2d0ab4
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
72 lines
2.6 KiB
Python
72 lines
2.6 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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from oslo_serialization import jsonutils
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from magnum.common import urlfetch
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from magnum.conductor import monitors
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class MesosMonitor(monitors.MonitorBase):
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def __init__(self, context, cluster):
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super(MesosMonitor, self).__init__(context, cluster)
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self.data = {}
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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 _build_url(self, url, protocol='http', port='80', path='/'):
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return protocol + '://' + url + ':' + port + path
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def _is_leader(self, state):
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return state['leader'] == state['pid']
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def pull_data(self):
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self.data['mem_total'] = 0
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self.data['mem_used'] = 0
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self.data['cpu_total'] = 0
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self.data['cpu_used'] = 0
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for master_addr in self.cluster.master_addresses:
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mesos_master_url = self._build_url(master_addr, port='5050',
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path='/state')
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master = jsonutils.loads(urlfetch.get(mesos_master_url))
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if self._is_leader(master):
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for slave in master['slaves']:
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self.data['mem_total'] += slave['resources']['mem']
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self.data['mem_used'] += slave['used_resources']['mem']
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self.data['cpu_total'] += slave['resources']['cpus']
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self.data['cpu_used'] += slave['used_resources']['cpus']
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break
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def compute_memory_util(self):
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if self.data['mem_total'] == 0 or self.data['mem_used'] == 0:
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return 0
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else:
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return self.data['mem_used'] * 100 / self.data['mem_total']
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def compute_cpu_util(self):
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if self.data['cpu_total'] == 0 or self.data['cpu_used'] == 0:
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return 0
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else:
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return self.data['cpu_used'] * 100 / self.data['cpu_total']
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