def testGetStatisticsMultpleInstances(self, ec2InstanceMetricGetterMock,
getAutostackFromMetricMock,
_engineFactoryMock):
metricID = "abc"
class MetricRowSpec(object):
uid = None
datasource = None
metricRowMock = Mock(spec_set=MetricRowSpec,
uid=metricID,
datasource="autostack")
autostackMock = Mock()
getAutostackFromMetricMock.return_value = autostackMock
metricGetterMock = Mock()
ec2InstanceMetricGetterMock.return_value = metricGetterMock
metricGetterMock.collectMetricStatistics.return_value = [
InstanceMetricData(instanceID="tempID1",
records=[
MetricRecord(timestamp=None,
value={
"min": 5.0,
"max": 20.0
})
]),
InstanceMetricData(instanceID="tempID2",
records=[
MetricRecord(timestamp=None,
value={
"min": 15.0,
"max": 30.0
})
]),
]
# Call the function under test
stats = aggregation.getStatistics(metricRowMock)
# Validate stats
self.assertSetEqual(set(stats.keys()), set(("min", "max")))
# Make sure to include 20% buffer on range
self.assertAlmostEqual(stats["min"], 7.0)
self.assertAlmostEqual(stats["max"], 28.0)
# Validate mocks were called correctly
self.assertEqual(getAutostackFromMetricMock.call_args[0][1], metricID)
metricGetterMock.collectMetricStatistics.assert_called_once_with(
autostackMock, metricRowMock)
metricGetterMock.close.assert_called_once()
def testAggregationNoValues(self):
"""Single metric with no values."""
slices = (
InstanceMetricData("id", ()),
)
result = aggregation.aggregate(slices)
self.assertEqual(len(result), 0)
def testAggregationSingleValue(self):
"""Single metric with single value."""
timestamp = datetime.datetime.utcnow()
slices = (InstanceMetricData("id",
(MetricRecord(timestamp, 100.0), )), )
result = aggregation.aggregate(slices)
self.assertEqual(len(result), 1)
self.assertIsInstance(result[0], tuple)
self.assertSequenceEqual(result[0], (timestamp, 100.0))
def testAggregationMultipleMetricsAlignedSum(self):
"""Multiple metrics with matching timestamps."""
timestamp2 = datetime.datetime.utcnow()
timestamp1 = timestamp2 - datetime.timedelta(minutes=5)
slices = (
InstanceMetricData("id1", (
MetricRecord(timestamp1, 100.0),
MetricRecord(timestamp2, 50.0),
)),
InstanceMetricData("id2", (
MetricRecord(timestamp1, 80.0),
MetricRecord(timestamp2, 30.0),
)),
)
result = aggregation.aggregate(slices, aggregationFn=sum)
self.assertEqual(len(result), 2)
self.assertIsInstance(result[0], tuple)
self.assertIsInstance(result[1], tuple)
self.assertSequenceEqual(result[0], (timestamp1, 180.0))
self.assertSequenceEqual(result[1], (timestamp2, 80.0))
def testAggregationMultipleValues(self):
"""Single metric with multiple values at different timestamps."""
timestamp2 = datetime.datetime.utcnow()
timestamp1 = timestamp2 - datetime.timedelta(minutes=5)
slices = (InstanceMetricData("id", (
MetricRecord(timestamp1, 100.0),
MetricRecord(timestamp2, 50.0),
)), )
result = aggregation.aggregate(slices)
self.assertEqual(len(result), 2)
self.assertIsInstance(result[0], tuple)
self.assertIsInstance(result[1], tuple)
self.assertSequenceEqual(result[0], (timestamp1, 100.0))
self.assertSequenceEqual(result[1], (timestamp2, 50.0))
def testAggregationMultipleMetricsMisaligned(self):
"""Multiple metrics with both matching and non-matching timestamps."""
timestamp3 = datetime.datetime.utcnow()
timestamp2 = timestamp3 - datetime.timedelta(minutes=5)
timestamp1 = timestamp2 - datetime.timedelta(minutes=5)
slices = (
InstanceMetricData("id1", (
MetricRecord(timestamp1, 100.0),
MetricRecord(timestamp2, 50.0),
)),
InstanceMetricData("id2", (
MetricRecord(timestamp2, 80.0),
MetricRecord(timestamp3, 30.0),
)),
)
result = aggregation.aggregate(slices)
self.assertEqual(len(result), 3)
self.assertIsInstance(result[0], tuple)
self.assertIsInstance(result[1], tuple)
self.assertIsInstance(result[2], tuple)
self.assertSequenceEqual(result[0], (timestamp1, 100.0))
self.assertSequenceEqual(result[1], (timestamp2, 65.0))
self.assertSequenceEqual(result[2], (timestamp3, 30.0))
def testMetricNotFoundFromSetLastTimestamp(self, engineMock, repoMock,
ec2InstanceMetricGetterMock,
_metricStreamerMock):
"""Test handling of ObjectNotFoundError when calling
repository.setMetricLastTimestamp in _processAutostackMetricRequests.
In this case, we expect _processAutostackMetricRequests to skip this
collection and continue processing the next one(s)
"""
# Ignore attemting to look for MySQL transient errors.
# We're not testing those here.
repoMock.retryOnTransientErrors.side_effect = lambda f: f
# Define metric to skip over
errMetric = Mock(spec_set=self.MetricRowSpec)
errMetric.name = "errMetric"
errInstanceID = "i-00000"
errRefID = 0 # index into requests sequence
errRequest = AutostackMetricRequest(
refID=errRefID,
autostack=Mock(spec_set=self.AutostackRowSpec),
metric=errMetric)
errMetricRecord = MetricRecord(timestamp=datetime.datetime.utcnow(),
value=2)
errData = InstanceMetricData(instanceID=errInstanceID,
records=[errMetricRecord])
errCollection = MetricCollection(refID=errRefID,
slices=[errData],
timeRange=self.timeRange,
nextMetricTime=self.timeRange.end)
# Define "ok" metric
okMetric = Mock(spec_set=self.MetricRowSpec)
okMetric.name = "okMetric"
okInstanceID = "i-11111"
okRefID = 1 # index into requests sequence
okRequest = AutostackMetricRequest(
refID=okRefID,
autostack=Mock(spec_set=self.AutostackRowSpec),
metric=okMetric)
okDataValue = 111
okMetricRecord = MetricRecord(timestamp=datetime.datetime.utcnow(),
value=okDataValue)
okData = InstanceMetricData(instanceID=okInstanceID,
records=[okMetricRecord])
okCollection = MetricCollection(refID=okRefID,
slices=[okData],
timeRange=self.timeRange,
nextMetricTime=self.timeRange.end)
# Make setMetricLastTimestamp error on first call (error metric) and pass
# on second call (ok metric)
repoMock.setMetricLastTimestamp.side_effect = (
app_exceptions.ObjectNotFoundError("Expected: things happen"),
None)
requests = [errRequest, okRequest]
collections = [errCollection, okCollection]
metricGetterInstanceMock = ec2InstanceMetricGetterMock.return_value
metricGetterInstanceMock.collectMetricData.return_value = iter(
collections)
streamedData = []
_metricStreamerMock.return_value.streamMetricData.side_effect = (
lambda data, *args, **kwargs: streamedData.append(data))
aggSvc = aggregator_service.AggregatorService()
with patch.object(aggregator_service,
"getAggregationFn",
autospec=True,
return_value=None):
aggSvc._processAutostackMetricRequests(
engine=engineMock,
requests=requests,
modelSwapper=Mock(spec_set=ModelSwapperInterface))
self.assertEqual(len(streamedData), 1)
self.assertEqual(len(streamedData[0]), 1)
self.assertEqual(streamedData[0][0][1], okDataValue)