def test_summary(self):
"""Test that we can track summaries in Service303"""
# Add a summary with a label to the regisry
c = Summary('process_max_fds', 'A summary', ['result'], registry=self.registry)
c.labels('success').observe(1.23)
c.labels('failure').observe(2.34)
# Build proto outputs
summary1 = metrics_pb2.Summary(sample_count=1, sample_sum=1.23)
summary2 = metrics_pb2.Summary(sample_count=1, sample_sum=2.34)
metric1 = metrics_pb2.Metric(summary=summary1,
timestamp_ms=1234000)
metric2 = metrics_pb2.Metric(summary=summary2,
timestamp_ms=1234000)
family = metrics_pb2.MetricFamily(
name=str(metricsd_pb2.process_max_fds),
type=metrics_pb2.SUMMARY)
metric1.label.add(
name=str(metricsd_pb2.result),
value='success')
metric2.label.add(
name=str(metricsd_pb2.result),
value='failure')
family.metric.extend([metric1, metric2])
with unittest.mock.patch('time.time') as mock_time:
mock_time.side_effect = lambda: 1234
self.assertCountEqual(list(metrics_export.get_metrics(self.registry))[0].metric,
family.metric)
def _summary_to_proto(
metric: prometheus_client.core.Metric,
) -> [metrics_pb2.MetricFamily]:
"""
1. Get metrics by unique labelset ignoring quantile
2. convert to proto separately for each one
"""
family_by_labelset = {}
for sample in metric.samples:
(name, labels, value, *_) = sample
# get real family by checking labels (ignoring quantile)
distinct_labels = frozenset(_remove_label(labels, 'quantile').items())
if distinct_labels not in family_by_labelset:
fam = metrics_pb2.MetricFamily(
name=metric.name,
type=metrics_pb2.SUMMARY,
)
summ = metrics_pb2.Summary(sample_count=0, sample_sum=0)
fam.metric.extend([metrics_pb2.Metric(summary=summ)])
family_by_labelset[distinct_labels] = fam
unique_family = family_by_labelset[distinct_labels]
if str.endswith(name, "_sum"):
unique_family.metric[0].summary.sample_sum = value
elif str.endswith(name, "_count"):
unique_family.metric[0].summary.sample_count = int(value)
elif 'quantile' in labels:
unique_family.metric[0].summary.quantile.extend([
metrics_pb2.Quantile(
quantile=float(labels['quantile']),
value=value,
),
])
# Add non-quantile labels to all metrics
for labelset in family_by_labelset.keys():
for label in labelset:
family_by_labelset[labelset].metric[0].label.add(
name=label[0],
value=label[1],
)
return list(family_by_labelset.values())
