def verify_metrics(self, cache, expected_metrics):
infos = cache.get_monitoring_infos()
# Reconstruct metrics dictionary from monitoring infos
metrics = {
info.urn.rsplit(':', 1)[1]:
monitoring_infos.extract_gauge_value(info)[1]
for info in infos if "_total" not in info.urn
and info.type == monitoring_infos.LATEST_INT64_TYPE
}
self.assertDictEqual(metrics, expected_metrics)
# Metrics and total metrics should be identical for a single bundle.
# The following two gauges are not part of the total metrics:
try:
del metrics['capacity']
del metrics['size']
except KeyError:
pass
total_metrics = {
info.urn.rsplit(':', 1)[1].rsplit("_total")[0]:
monitoring_infos.extract_counter_value(info)
for info in infos if "_total" in info.urn
and info.type == monitoring_infos.SUM_INT64_TYPE
}
self.assertDictEqual(metrics, total_metrics)
def test_int64_user_gauge(self):
metric = GaugeCell().get_cumulative()
result = monitoring_infos.int64_user_gauge('gaugenamespace',
'gaugename', metric)
_, gauge_value = monitoring_infos.extract_gauge_value(result)
self.assertEqual(0, gauge_value)