def _get_headroom_metrics(self, assign_cpus, lcutil, sysutil):
util_max = self.analyzer.get_lcutilmax()
if util_max < lcutil:
self.analyzer.update_lcutilmax(lcutil)
util_max = lcutil
capacity = assign_cpus * 100
return [
WCAMetric(name=Metric.LCCAPACITY, value=capacity),
WCAMetric(name=Metric.LCMAX, value=util_max),
WCAMetric(name=Metric.SYSUTIL, value=sysutil)
]
def _append_metrics(self, metrics, mname, mvalue):
metric = WCAMetric(
name=mname,
value=mvalue,
labels=dict(
task_id=self.cid,
)
)
metrics.append(metric)
def get_wca_metrics(self, app, vcpu):
metrics = []
if self.metrics:
for met, val in self.metrics.items():
label_dict = dict(task_id=self.cid)
if app:
label_dict['application'] = app
label_dict['initial_task_cpu_assignment'] = str(vcpu)
metric = WCAMetric(name=met, value=val, labels=label_dict)
metrics.append(metric)
return metrics
def get_wca_metrics(self, app):
metrics = []
if self.metrics:
for met, val in self.metrics.items():
label_dict = dict(
task_id=self.cid
)
if app:
label_dict['application'] = app
metric = WCAMetric(
name=met,
value=val,
labels=label_dict
)
metrics.append(metric)
return metrics
def _get_threshold_metrics(self):
"""Encode threshold objects as WCA metrics.
In contrast to *_threshold metrics from Container,
all utilization partitions are exposed for all workloads.
"""
metrics = []
# Only when debugging is enabled.
if log.getEffectiveLevel() == logging.DEBUG:
for cid, threshold in self.analyzer.threshold.items():
if cid == 'lcutilmax':
metrics.append(
WCAMetric(name='threshold_lcutilmax', value=threshold)
)
continue
if 'tdp' in threshold and 'bar' in threshold['tdp']:
metrics.extend([
WCAMetric(
name='threshold_tdp_bar',
value=threshold['tdp']['bar'],
labels=dict(cid=cid)),
WCAMetric(
name='threshold_tdp_util',
value=threshold['tdp']['util'],
labels=dict(cid=cid)),
])
if 'thresh' in threshold:
for d in threshold['thresh']:
metrics.extend([
WCAMetric(
name='threshold_cpi',
labels=dict(start=str(int(d['util_start'])),
end=str(int(d['util_end'])),
cid=cid),
value=d['cpi']),
WCAMetric(
name='threshold_mpki',
labels=dict(start=str(int(d['util_start'])),
end=str(int(d['util_end'])),
cid=cid),
value=(d['mpki'])),
WCAMetric(
name='threshold_mb',
labels=dict(start=str(int(d['util_start'])),
end=str(int(d['util_end'])),
cid=cid),
value=(d['mb'])),
])
return metrics
