def test_reduceSeriesWithDivide(self):
sl, inputList = self._generate_mr_series()
expectedResult = [
TimeSeries('group.server1.reduce.mock',0,1,1,[None]),
TimeSeries('group.server2.reduce.mock',0,1,1,[None])
]
results = functions.reduceSeries({}, copy.deepcopy(inputList), "divideSeries", 2, "metric1","metric2" )
self.assertEqual(results,expectedResult)
def test_reduceSeries(self):
sl, inputList = self._generate_mr_series()
expectedResult = [
TimeSeries('group.server1.reduce.mock',0,1,1,[None]),
TimeSeries('group.server2.reduce.mock',0,1,1,[None])
]
resultSeriesList = [TimeSeries('mock(series)',0,1,1,[None])]
mock = MagicMock(return_value = resultSeriesList)
with patch.dict(functions.SeriesFunctions,{ 'mock': mock }):
results = functions.reduceSeries({}, copy.deepcopy(inputList), "mock", 2, "metric1","metric2" )
self.assertEqual(results,expectedResult)
self.assertEqual(mock.mock_calls, [call({},inputList[0]), call({},inputList[1])])
def test_reduceSeries(self):
sl, inputList = self._generate_mr_series()
expectedResult = [
TimeSeries('group.server1.reduce.mock',0,1,1,[None]),
TimeSeries('group.server2.reduce.mock',0,1,1,[None])
]
resultSeriesList = [TimeSeries('mock(series)',0,1,1,[None])]
mock = MagicMock(return_value = resultSeriesList)
with patch.dict(functions.SeriesFunctions,{ 'mock': mock }):
results = functions.reduceSeries({}, copy.deepcopy(inputList), "mock", 2, "metric1","metric2" )
self.assertEqual(results,expectedResult)
self.assertEqual(mock.mock_calls, [call({},inputList[0]), call({},inputList[1])])
def test_reduceSeries(self):
sl, inputList = self._generate_mr_series()
expectedResult = [
TimeSeries('group.server1.reduce.mock',0,1,1,[None]),
TimeSeries('group.server2.reduce.mock',0,1,1,[None])
]
def mock(requestContext,series):
return [TimeSeries('mock(series)',0,1,1,[None])]
with patch.dict(functions.SeriesFunctions,{ 'mock': mock }):
results = functions.reduceSeries({}, copy.deepcopy(inputList), "mock", 2, "metric1","metric2" )
self.assertEqual(results,expectedResult)
def test_reduceSeries_asPercent(self):
seriesList = [
TimeSeries('group.server1.bytes_used',0,1,1,[1]),
TimeSeries('group.server1.total_bytes',0,1,1,[2]),
TimeSeries('group.server2.bytes_used',0,1,1,[3]),
TimeSeries('group.server2.total_bytes',0,1,1,[4]),
]
for series in seriesList:
series.pathExpression = "tempPath"
expectedResult = [
TimeSeries('group.server1.reduce.asPercent',0,1,1,[50]), #100*1/2
TimeSeries('group.server2.reduce.asPercent',0,1,1,[75]) #100*3/4
]
mappedResult = [seriesList[0]],[seriesList[1]], [seriesList[2]],[seriesList[3]]
results = functions.reduceSeries({}, copy.deepcopy(mappedResult), "asPercent", 2, "bytes_used", "total_bytes")
self.assertEqual(results,expectedResult)
def test_reduceSeries_asPercent(self):
seriesList = [
TimeSeries('group.server1.bytes_used',0,1,1,[1]),
TimeSeries('group.server1.total_bytes',0,1,1,[2]),
TimeSeries('group.server2.bytes_used',0,1,1,[3]),
TimeSeries('group.server2.total_bytes',0,1,1,[4]),
]
for series in seriesList:
series.pathExpression = "tempPath"
expectedResult = [
TimeSeries('group.server1.reduce.asPercent',0,1,1,[50]), #100*1/2
TimeSeries('group.server2.reduce.asPercent',0,1,1,[75]) #100*3/4
]
mappedResult = [seriesList[0]],[seriesList[1]], [seriesList[2]],[seriesList[3]]
results = functions.reduceSeries({}, copy.deepcopy(mappedResult), "asPercent", 2, "bytes_used", "total_bytes")
self.assertEqual(results,expectedResult)
