def test_TimeSeries_consolidate(self):
values = range(0, 100)
series = TimeSeries("collectd.test-db.load.value",
0, len(values)/2, 1, values)
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
def test_TimeSeries_iterate_valuesPerPoint_2_invalid(self):
values = range(0, 100)
series = TimeSeries("collectd.test-db.load.value",
0, 5, 1, values, consolidate='bogus')
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
with self.assertRaises(Exception):
list(series)
def test_TimeSeries_iterate_valuesPerPoint_2_min(self):
values = range(0, 100)
series = TimeSeries("collectd.test-db.load.value",
0, 5, 1, values, consolidate='min')
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value",
0, 5, 1, list(range(0, 100, 2)) + [None])
self.assertEqual(list(series), list(expected))
def test_TimeSeries_iterate_valuesPerPoint_2_none_values(self):
values = [None, None, None, None, None]
series = TimeSeries("collectd.test-db.load.value",
0, len(values)/2, 1, values)
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value",
0, 5, 1, [None, None, None])
self.assertEqual(list(series), list(expected))
def test_TimeSeries_iterate_valuesPerPoint_2_avg(self):
values = range(0, 100)
series = TimeSeries("collectd.test-db.load.value",
0, len(values)/2, 1, values)
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1,
list(map(lambda x: x+0.5, range(0, 100, 2))) +
[None])
self.assertEqual(list(series), list(expected))
