def _getSampleRateData(self):
test_varz = {
'metric1': {
Source(None, 'service1', 'enpoint1', None):
_SampleSet(2, [1, 2]),
Source(None, 'service1', 'enpoint2', None):
_SampleSet(2, [2, 3])
},
'metric2': {
Source(None, 'service1', 'endpoint1', None):
_SampleSet(2, [1, 2]),
Source(None, 'service2', 'endpoint1', None):
_SampleSet(2, [2, 3])
},
'metric3': {
Source('method1', 'service1', None, None):
_SampleSet(2, [1, 2]),
Source('method2', 'service1', None, None):
_SampleSet(2, [2, 3]),
},
'metric4': {
Source(None, 'service1', None, 'client1'):
_SampleSet(2, [1, 2]),
Source(None, 'service1', None, 'client2'):
_SampleSet(2, [2, 3]),
Source(None, 'service2', None, 'client1'):
_SampleSet(2, [4, 5])
},
}
return test_varz
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 _getSampleData(self):
test_varz = {
'metric1': {
Source(None, 'service1', 'enpoint1', None): 1,
Source(None, 'service1', 'enpoint2', None): 2
},
'metric2': {
Source(None, 'service1', 'endpoint1', None): 1,
Source(None, 'service2', 'endpoint1', None): 2
},
'metric3': {
Source('method1', 'service1', None, None): 1,
Source('method2', 'service1', None, None): 2,
},
'metric4': {
Source(None, "service1", None, "client1"): 1,
Source(None, "service1", None, "client2"): 2,
Source(None, "service2", None, "client1"): 3,
},
}
return test_varz
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])