def testVarzAggregatorAverageRate(self):
test_varz = self._getSampleRateData()
metrics = {
'metric1': VarzType.AverageRate,
'metric2': VarzType.AverageRate,
'metric3': VarzType.AverageRate,
'metric4': VarzType.AverageRate,
}
random.seed(1)
aggs = VarzAggregator.Aggregate(test_varz, metrics)
self.assertEqual(_round(aggs['metric1'][('service1', None)].total, 2),
[2.0, 2.0, 2.70, 2.97, 3.0, 3.0])
self.assertEqual(_round(aggs['metric2'][('service1', None)].total, 2),
[1.5, 1.5, 1.90, 1.99, 2.0, 2.0])
self.assertEqual(_round(aggs['metric2'][('service2', None)].total, 2),
[2.5, 2.5, 2.90, 2.99, 3.0, 3.0])
self.assertEqual(_round(aggs['metric3'][('service1', None)].total, 2),
[2.0, 2.0, 2.70, 2.97, 3.0, 3.0])
self.assertEqual(
_round(aggs['metric4'][('service1', 'client1')].total, 2),
[1.5, 1.5, 1.9, 1.99, 2.0, 2.0])
self.assertEqual(
_round(aggs['metric4'][('service1', 'client2')].total, 2),
[2.5, 2.5, 2.9, 2.99, 3.0, 3.0])
self.assertEqual(
_round(aggs['metric4'][('service2', 'client1')].total, 2),
[4.5, 4.5, 4.9, 4.99, 5.0, 5.0])
def testShortStreamingPercentile(self):
source = Source(None, 'test', None, None)
metric = 'test'
VarzReceiver.VARZ_METRICS.clear()
VarzReceiver.VARZ_DATA.clear()
VarzReceiver.RegisterMetric(metric, VarzType.AverageTimer)
VarzReceiver.RecordPercentileSample(source, metric, 1)
VarzReceiver.RecordPercentileSample(source, metric, 2)
VarzReceiver.RecordPercentileSample(source, metric, 3)
VarzReceiver.RecordPercentileSample(source, metric, 2)
aggs = VarzAggregator.Aggregate(VarzReceiver.VARZ_DATA,
VarzReceiver.VARZ_METRICS)
self.assertEqual(_round(aggs[metric][('test', None)].total, 2),
[2.0, 2.0, 2.70, 2.97, 3.0, 3.0])
def testLongStreamingPercentile(self):
source = Source(None, 'test', None, None)
metric = 'test'
VarzReceiver.VARZ_METRICS.clear()
VarzReceiver.VARZ_DATA.clear()
VarzReceiver.RegisterMetric(metric, VarzType.AverageTimer)
random.seed(1)
for n in range(10000):
VarzReceiver.RecordPercentileSample(source, metric,
float(random.randint(0, 100)))
aggs = VarzAggregator.Aggregate(VarzReceiver.VARZ_DATA,
VarzReceiver.VARZ_METRICS)
def testLongStreamingPercentile(self):
source = Source(None, 'test', None, None)
metric = 'test'
VarzReceiver.VARZ_METRICS.clear()
VarzReceiver.VARZ_DATA.clear()
VarzReceiver.RegisterMetric(metric, VarzType.AverageTimer)
random.seed(1)
for n in xrange(10000):
VarzReceiver.RecordPercentileSample(source, metric,
float(random.randint(0, 100)))
aggs = VarzAggregator.Aggregate(VarzReceiver.VARZ_DATA,
VarzReceiver.VARZ_METRICS)
self.assertEqual(_round(aggs[metric][('test', None)].total, 2),
[50.25, 50, 92.0, 100.0, 100.0, 100.0])
def testVarzAggregatorBasic(self):
test_varz = self._getSampleData()
metrics = {
'metric1': VarzType.Counter,
'metric2': VarzType.Counter,
'metric3': VarzType.Counter,
'metric4': VarzType.Counter,
}
aggs = VarzAggregator.Aggregate(test_varz, metrics)
# Endpoints are aggregated to a service
self.assertEqual(aggs['metric1'][('service1', None)].total, 3.0)
# Services are kept separate
self.assertEqual(aggs['metric2'][('service1', None)].total, 1.0)
self.assertEqual(aggs['metric2'][('service2', None)].total, 2.0)
# Method are aggregated to a service
self.assertEqual(aggs['metric3'][('service1', None)].total, 3.0)
# Methods are agregated to a client + service
self.assertEqual(aggs['metric4'][('service1', 'client1')].total, 1.0)
self.assertEqual(aggs['metric4'][('service1', 'client2')].total, 2.0)
self.assertEqual(aggs['metric4'][('service2', 'client1')].total, 3.0)