def test_histogram(self):
"""Test that we can track histogram in Service303"""
# Add a histogram with a label to the regisry
c = Histogram('process_max_fds',
'A summary', ['result'],
registry=self.registry,
buckets=[0, 2, float('inf')])
c.labels('success').observe(1.23)
c.labels('failure').observe(2.34)
# Build proto outputs
histogram1 = metrics_pb2.Histogram(sample_count=1, sample_sum=1.23)
histogram1.bucket.add(upper_bound=0, cumulative_count=0)
histogram1.bucket.add(upper_bound=2, cumulative_count=1)
histogram1.bucket.add(upper_bound=float('inf'), cumulative_count=1)
histogram2 = metrics_pb2.Histogram(sample_count=1, sample_sum=2.34)
histogram2.bucket.add(upper_bound=0, cumulative_count=0)
histogram2.bucket.add(upper_bound=2, cumulative_count=0)
histogram2.bucket.add(upper_bound=float('inf'), cumulative_count=1)
metric1 = metrics_pb2.Metric(histogram=histogram1,
timestamp_ms=1234000)
metric2 = metrics_pb2.Metric(histogram=histogram2,
timestamp_ms=1234000)
family = metrics_pb2.MetricFamily(name=str(
metricsd_pb2.process_max_fds),
type=metrics_pb2.HISTOGRAM)
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 _histogram_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 le)
distinct_labels = frozenset(_remove_label(labels, 'le').items())
if distinct_labels not in family_by_labelset:
fam = metrics_pb2.MetricFamily(
name=metric.name,
type=metrics_pb2.HISTOGRAM,
)
hist = metrics_pb2.Histogram(sample_count=0, sample_sum=0)
fam.metric.extend([metrics_pb2.Metric(histogram=hist)])
family_by_labelset[distinct_labels] = fam
unique_family = family_by_labelset[distinct_labels]
if str.endswith(name, "_sum"):
unique_family.metric[0].histogram.sample_sum = value
elif str.endswith(name, "_count"):
unique_family.metric[0].histogram.sample_count = int(value)
elif 'le' in labels:
unique_family.metric[0].histogram.bucket.extend([
metrics_pb2.Bucket(
upper_bound=float(labels['le']),
cumulative_count=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=str(label[0]), value=str(label[1]),
)
return list(family_by_labelset.values())