def inspect_cpu_util(self, instance, duration=None):
instance_name = get_instance_name(instance)
vm_ref = self._lookup_by_name(instance_name)
metrics_ref = self._call_xenapi("VM.get_metrics", vm_ref)
metrics_rec = self._call_xenapi("VM_metrics.get_record", metrics_ref)
vcpus_number = metrics_rec['VCPUs_number']
vcpus_utils = metrics_rec['VCPUs_utilisation']
if len(vcpus_utils) == 0:
msg = "Could not get VM %s CPU Utilization" % instance_name
raise XenapiException(msg)
utils = 0.0
for num in range(int(vcpus_number)):
utils += vcpus_utils.get(str(num))
utils = utils / int(vcpus_number) * 100
return virt_inspector.CPUUtilStats(util=utils)
def inspect_cpu_util(self, instance, duration=None):
vm_moid = self._ops.get_vm_moid(instance.id)
if vm_moid is None:
raise virt_inspector.InstanceNotFoundException(
'VM %s not found in VMware Vsphere' % instance.id)
cpu_util_counter_id = self._ops.get_perf_counter_id(
VC_AVERAGE_CPU_CONSUMED_CNTR)
cpu_util = self._ops.query_vm_aggregate_stats(
vm_moid, cpu_util_counter_id, duration)
# For this counter vSphere returns values scaled-up by 100, since the
# corresponding API can't return decimals, but only longs.
# For e.g. if the utilization is 12.34%, the value returned is 1234.
# Hence, dividing by 100.
cpu_util = cpu_util / 100
return virt_inspector.CPUUtilStats(util=cpu_util)