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(app.config["GRAPHITE"]["functions"], {"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(app.config['GRAPHITE']['functions'], {'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(app.config['GRAPHITE']['functions'], {'mock': mock}):
results = functions.reduceSeries({}, copy.deepcopy(inputList),
"mock", 2, "metric1", "metric2")
self.assertEqual(results, expectedResult)
self.assertEqual(mock.mock_calls, [
call({}, *[[x] for x in inputList[0]]),
call({}, *[[x] for x in inputList[1]]),
])
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 = [
# 50 == 100 * 1 / 2
TimeSeries('group.server1.reduce.asPercent', 0, 1, 1, [50]),
# 100 * 3 / 4
TimeSeries('group.server2.reduce.asPercent', 0, 1, 1, [75]),
]
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 = [
# 50 == 100 * 1 / 2
TimeSeries('group.server1.reduce.asPercent', 0, 1, 1, [50]),
# 100 * 3 / 4
TimeSeries('group.server2.reduce.asPercent', 0, 1, 1, [75]),
]
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)
