def test_summary_quantiles(self):
families = text_string_to_metric_families("""# TYPE a summary
# HELP a help
a_count 1
a_sum 2
a{quantile="0.5"} 0.7
""")
# The Python client doesn't support quantiles, but we
# still need to be able to parse them.
metric_family = SummaryMetricFamily("a", "help", count_value=1, sum_value=2)
metric_family.add_sample("a", {"quantile": "0.5"}, 0.7)
self.assertEqual([metric_family], list(families))
def collect(self):
response = requests.get(args.uri)
json = response.json()
metrics = json['metrics']
# iterate over all metrics
for k in metrics:
underscores = re.sub('\.|-|\s', '_', k).lower()
if metrics[k]['type'] == 'timer':
# we have a timer, expose as a Prometheus Summary
underscores = underscores + '_' + metrics[k]['duration_unit']
summary = SummaryMetricFamily(underscores, 'libmedida metric type: ' + metrics[k]['type'], count_value=metrics[k]['count'], sum_value=(metrics[k]['mean'] * metrics[k]['count']))
# add stellar-core calculated quantiles to our summary
summary.add_sample(underscores, labels={'quantile':'0.75'}, value=metrics[k]['75%'])
summary.add_sample(underscores, labels={'quantile':'0.99'}, value=metrics[k]['99%'])
yield summary
elif metrics[k]['type'] == 'counter':
# we have a counter, this is a Prometheus Gauge
yield GaugeMetricFamily(underscores, 'libmedida metric type: ' + metrics[k]['type'], value=metrics[k]['count'])
elif metrics[k]['type'] == 'meter':
# we have a meter, this is a Prometheus Counter
yield CounterMetricFamily(underscores, 'libmedida metric type: ' + metrics[k]['type'], value=metrics[k]['count'])
def collect(self):
# TODO handle missing labels, probably return 500?
labels = self.get_labels()
labels_p75 = labels.copy() # Work on copy of labels variable to avoid other metrics getting quantile label
labels_p75.update({'quantile': '0.75'})
labels_p99 = labels.copy() # Work on copy of labels variable to avoid other metrics getting quantile label
labels_p99.update({'quantile': '0.99'})
response = requests.get(args.uri)
metrics = response.json()['metrics']
# iterate over all metrics
for k in metrics:
metric_name = re.sub('\.|-|\s', '_', k).lower()
metric_name = 'stellar_core_' + metric_name
if metrics[k]['type'] == 'timer':
# we have a timer, expose as a Prometheus Summary
# we convert stellar-core time units to seconds, as per Prometheus best practices
metric_name = metric_name + '_seconds'
if 'sum' in metrics[k]:
# use libmedida sum value
total_duration = metrics[k]['sum']
else:
# compute sum value
total_duration = (metrics[k]['mean'] * metrics[k]['count'])
summary = SummaryMetricFamily(metric_name, 'libmedida metric type: ' + metrics[k]['type'], labels=labels.keys())
summary.add_metric(labels.values(), count_value=metrics[k]['count'],
sum_value=(duration_to_seconds(total_duration, metrics[k]['duration_unit'])))
# add stellar-core calculated quantiles to our summary
summary.add_sample(metric_name, labels=labels_p75,
value=(duration_to_seconds(metrics[k]['75%'], metrics[k]['duration_unit'])))
summary.add_sample(metric_name, labels=labels_p99,
value=(duration_to_seconds(metrics[k]['99%'], metrics[k]['duration_unit'])))
yield summary
elif metrics[k]['type'] == 'counter':
# we have a counter, this is a Prometheus Gauge
g = GaugeMetricFamily(metric_name, 'libmedida metric type: ' + metrics[k]['type'], labels=labels.keys())
g.add_metric(labels.values(), metrics[k]['count'])
yield g
elif metrics[k]['type'] == 'meter':
# we have a meter, this is a Prometheus Counter
c = CounterMetricFamily(metric_name, 'libmedida metric type: ' + metrics[k]['type'], labels=labels.keys())
c.add_metric(labels.values(), metrics[k]['count'])
yield c
# Export metrics from the info endpoint
response = requests.get(args.info_uri)
info = response.json()['info']
if not all([i in info for i in self.info_keys]):
print('WARNING: info endpoint did not return all required fields')
return
# Ledger metrics
for core_name, prom_name in self.ledger_metrics.items():
g = GaugeMetricFamily('stellar_core_ledger_{}'.format(prom_name),
'Stellar core ledger metric name: {}'.format(core_name),
labels=labels.keys())
g.add_metric(labels.values(), info['ledger'][core_name])
yield g
# Quorum metrics are reported under dynamic name for example:
# "quorum" : {
# "758110" : {
# "agree" : 3,
tmp = info['quorum'].values()[0]
for metric in self.quorum_metrics:
g = GaugeMetricFamily('stellar_core_quorum_{}'.format(metric),
'Stellar core quorum metric: {}'.format(metric),
labels=labels.keys())
g.add_metric(labels.values(), tmp[metric])
yield g
# Peers metrics
g = GaugeMetricFamily('stellar_core_peers_authenticated_count',
'Stellar core authenticated_count count',
labels=labels.keys())
g.add_metric(labels.values(), info['peers']['authenticated_count'])
yield g
g = GaugeMetricFamily('stellar_core_peers_pending_count',
'Stellar core pending_count count',
labels=labels.keys())
g.add_metric(labels.values(), info['peers']['pending_count'])
yield g
g = GaugeMetricFamily('stellar_core_protocol_version',
'Stellar core protocol_version',
labels=labels.keys())
g.add_metric(labels.values(), info['protocol_version'])
yield g
g = GaugeMetricFamily('stellar_core_synced', 'Stellar core sync status', labels=labels.keys())
if info['state'] == 'Synced!':
g.add_metric(labels.values(), 1)
else:
g.add_metric(labels.values(), 0)
yield g
g = GaugeMetricFamily('stellar_core_started_on', 'Stellar core start time in epoch', labels=labels.keys())
date = datetime.strptime(info['startedOn'], "%Y-%m-%dT%H:%M:%SZ")
g.add_metric(labels.values(), int(date.strftime('%s')))
yield g