230 lines
9.9 KiB
Python
230 lines
9.9 KiB
Python
# Copyright (c) 2014 VMware, Inc.
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# 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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from oslo.vmware import vim_util
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PERF_MANAGER_TYPE = "PerformanceManager"
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PERF_COUNTER_PROPERTY = "perfCounter"
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VM_INSTANCE_ID_PROPERTY = 'config.extraConfig["nvp.vm-uuid"].value'
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# ESXi Servers sample performance data every 20 seconds. 20-second interval
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# data is called instance data or real-time data. To retrieve instance data,
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# we need to specify a value of 20 seconds for the "PerfQuerySpec.intervalId"
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# property. In that case the "QueryPerf" method operates as a raw data feed
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# that bypasses the vCenter database and instead retrieves performance data
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# from an ESXi host.
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# The following value is time interval for real-time performance stats
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# in seconds and it is not configurable.
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VC_REAL_TIME_SAMPLING_INTERVAL = 20
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class VsphereOperations(object):
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"""Class to invoke vSphere APIs calls.
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vSphere APIs calls are required by various pollsters, collecting data from
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VMware infrastructure.
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"""
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def __init__(self, api_session, max_objects):
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self._api_session = api_session
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self._max_objects = max_objects
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# Mapping between "VM's Nova instance Id" -> "VM's MOID"
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# In case a VM is deployed by Nova, then its name is instance ID.
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# So this map essentially has VM names as keys.
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self._vm_moid_lookup_map = {}
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# Mapping from full name -> ID, for VC Performance counters
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self._perf_counter_id_lookup_map = None
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def _init_vm_moid_lookup_map(self):
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session = self._api_session
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result = session.invoke_api(vim_util, "get_objects", session.vim,
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"VirtualMachine", self._max_objects,
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[VM_INSTANCE_ID_PROPERTY],
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False)
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while result:
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for vm_object in result.objects:
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vm_moid = vm_object.obj.value
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# propSet will be set only if the server provides value
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if hasattr(vm_object, 'propSet') and vm_object.propSet:
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vm_instance_id = vm_object.propSet[0].val
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if vm_instance_id:
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self._vm_moid_lookup_map[vm_instance_id] = vm_moid
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result = session.invoke_api(vim_util, "continue_retrieval",
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session.vim, result)
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def get_vm_moid(self, vm_instance_id):
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"""Method returns VC MOID of the VM by its NOVA instance ID."""
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if vm_instance_id not in self._vm_moid_lookup_map:
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self._init_vm_moid_lookup_map()
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return self._vm_moid_lookup_map.get(vm_instance_id, None)
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def _init_perf_counter_id_lookup_map(self):
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# Query details of all the performance counters from VC
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session = self._api_session
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client_factory = session.vim.client.factory
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perf_manager = session.vim.service_content.perfManager
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prop_spec = vim_util.build_property_spec(
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client_factory, PERF_MANAGER_TYPE, [PERF_COUNTER_PROPERTY])
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obj_spec = vim_util.build_object_spec(
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client_factory, perf_manager, None)
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filter_spec = vim_util.build_property_filter_spec(
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client_factory, [prop_spec], [obj_spec])
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options = client_factory.create('ns0:RetrieveOptions')
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options.maxObjects = 1
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prop_collector = session.vim.service_content.propertyCollector
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result = session.invoke_api(session.vim, "RetrievePropertiesEx",
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prop_collector, specSet=[filter_spec],
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options=options)
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perf_counter_infos = result.objects[0].propSet[0].val.PerfCounterInfo
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# Extract the counter Id for each counter and populate the map
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self._perf_counter_id_lookup_map = {}
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for perf_counter_info in perf_counter_infos:
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counter_group = perf_counter_info.groupInfo.key
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counter_name = perf_counter_info.nameInfo.key
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counter_rollup_type = perf_counter_info.rollupType
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counter_id = perf_counter_info.key
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counter_full_name = (counter_group + ":" + counter_name + ":" +
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counter_rollup_type)
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self._perf_counter_id_lookup_map[counter_full_name] = counter_id
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def get_perf_counter_id(self, counter_full_name):
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"""Method returns the ID of VC performance counter by its full name.
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A VC performance counter is uniquely identified by the
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tuple {'Group Name', 'Counter Name', 'Rollup Type'}.
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It will have an id - counter ID (changes from one VC to another),
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which is required to query performance stats from that VC.
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This method returns the ID for a counter,
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assuming 'CounterFullName' => 'Group Name:CounterName:RollupType'.
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"""
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if not self._perf_counter_id_lookup_map:
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self._init_perf_counter_id_lookup_map()
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return self._perf_counter_id_lookup_map[counter_full_name]
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# TODO(akhils@vmware.com) Move this method to common library
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# when it gets checked-in
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def query_vm_property(self, vm_moid, property_name):
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"""Method returns the value of specified property for a VM.
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:param vm_moid: moid of the VM whose property is to be queried
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:param property_name: path of the property
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"""
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vm_mobj = vim_util.get_moref(vm_moid, "VirtualMachine")
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session = self._api_session
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return session.invoke_api(vim_util, "get_object_property",
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session.vim, vm_mobj, property_name)
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def query_vm_aggregate_stats(self, vm_moid, counter_id, duration):
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"""Method queries the aggregated real-time stat value for a VM.
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This method should be used for aggregate counters.
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:param vm_moid: moid of the VM
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:param counter_id: id of the perf counter in VC
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:param duration: in seconds from current time,
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over which the stat value was applicable
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:return: the aggregated stats value for the counter
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"""
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# For aggregate counters, device_name should be ""
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stats = self._query_vm_perf_stats(vm_moid, counter_id, "", duration)
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# Performance manager provides the aggregated stats value
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# with device name -> None
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return stats.get(None, 0)
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def query_vm_device_stats(self, vm_moid, counter_id, duration):
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"""Method queries the real-time stat values for a VM, for all devices.
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This method should be used for device(non-aggregate) counters.
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:param vm_moid: moid of the VM
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:param counter_id: id of the perf counter in VC
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:param duration: in seconds from current time,
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over which the stat value was applicable
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:return: a map containing the stat values keyed by the device ID/name
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"""
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# For device counters, device_name should be "*" to get stat values
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# for all devices.
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stats = self._query_vm_perf_stats(vm_moid, counter_id, "*", duration)
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# For some device counters, in addition to the per device value
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# the Performance manager also returns the aggregated value.
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# Just to be consistent, deleting the aggregated value if present.
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stats.pop(None, None)
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return stats
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def _query_vm_perf_stats(self, vm_moid, counter_id, device_name, duration):
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"""Method queries the real-time stat values for a VM.
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:param vm_moid: moid of the VM for which stats are needed
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:param counter_id: id of the perf counter in VC
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:param device_name: name of the device for which stats are to be
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queried. For aggregate counters pass empty string ("").
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For device counters pass "*", if stats are required over all
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devices.
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:param duration: in seconds from current time,
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over which the stat value was applicable
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:return: a map containing the stat values keyed by the device ID/name
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"""
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session = self._api_session
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client_factory = session.vim.client.factory
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# Construct the QuerySpec
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metric_id = client_factory.create('ns0:PerfMetricId')
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metric_id.counterId = counter_id
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metric_id.instance = device_name
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query_spec = client_factory.create('ns0:PerfQuerySpec')
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query_spec.entity = vim_util.get_moref(vm_moid, "VirtualMachine")
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query_spec.metricId = [metric_id]
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query_spec.intervalId = VC_REAL_TIME_SAMPLING_INTERVAL
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# We query all samples which are applicable over the specified duration
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samples_cnt = (int(duration / VC_REAL_TIME_SAMPLING_INTERVAL)
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if duration else 1)
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query_spec.maxSample = samples_cnt
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perf_manager = session.vim.service_content.perfManager
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perf_stats = session.invoke_api(session.vim, 'QueryPerf', perf_manager,
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querySpec=[query_spec])
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stat_values = {}
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if perf_stats:
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entity_metric = perf_stats[0]
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sample_infos = entity_metric.sampleInfo
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if len(sample_infos) > 0:
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for metric_series in entity_metric.value:
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# Take the average of all samples to improve the accuracy
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# of the stat value
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stat_value = float(sum(metric_series.value)) / samples_cnt
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device_id = metric_series.id.instance
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stat_values[device_id] = stat_value
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return stat_values
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