def percentileOfSeries(requestContext, *args):
levels = []
seriesList = []
for arg in args:
logging.info("Arg: %s", arg)
if isinstance(arg, (int, long, float)):
levels.append(arg)
elif isinstance(arg, basestring):
levels += [float(x) for x in arg.split(";")]
else:
seriesList += arg
logging.info("Levels: %s", levels)
logging.info("Series: %s", seriesList)
result = []
for level in levels:
if levels <= 0:
raise ValueError('The requested percent is required to be greater than 0')
name = 'percentilesOfSeries(%s,%g)' % (seriesList[0].pathExpression, level)
(start, end, step) = functions.normalize([seriesList])[1:]
values = [functions._getPercentile(row, level, False) for row in functions.izip(*seriesList)]
resultSeries = TimeSeries(name, start, end, step, values)
resultSeries.pathExpression = name
result.append(resultSeries)
return result
def test_normalize_generate_series_list_input(self):
seriesList = self._generate_series_list()
self.assertEqual(functions.normalize([seriesList]), (seriesList, 0, 101, 1))
def test_normalize_None_values(self):
seriesList = []
seriesList.append(TimeSeries("collectd.test-db{0}.load.value", 0, 5, 1, [None, None, None, None, None]))
self.assertEqual(functions.normalize([seriesList]), (seriesList, 0, 5, 1))
def test_normalize_empty(self):
with self.assertRaises(NormalizeEmptyResultError):
functions.normalize([])
def test_normalize_empty(self):
try:
functions.normalize([])
except NormalizeEmptyResultError:
pass
def test_normalize_empty(self):
try:
functions.normalize([])
except NormalizeEmptyResultError:
pass
