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_equal_list_color_bad2(self):
values = range(0, 100)
series1 = TimeSeries("collectd.test-db.load.value",
0, len(values), 1, values)
series2 = TimeSeries("collectd.test-db.load.value",
0, len(values), 1, values)
series1.color = 'white'
with self.assertRaises(AssertionError):
self.assertEqual(series1, series2)
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_sum(self):
values = range(0, 100)
series = TimeSeries("collectd.test-db.load.value",
0, 5, 1, values, consolidate='sum')
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(1, 200, 4)) + [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))
def _generate_series_list(self, config=None):
seriesList = []
if not config:
config = [range(101), range(101), [1, None, None, None, None]]
for i, c in enumerate(config):
name = "collectd.test-db{0}.load.value".format(i + 1)
seriesList.append(TimeSeries(name, 0, 1, 1, c))
return seriesList
def test_TimeSeries_equal_list_color(self):
values = range(0, 100)
series1 = TimeSeries("collectd.test-db.load.value",
0, len(values), 1, values)
series1.color = 'white'
series2 = TimeSeries("collectd.test-db.load.value",
0, len(values), 1, values)
series2.color = 'white'
self.assertEqual(series1, series2)
def test_TimeSeries_iterate(self):
values = range(0, 100)
series = TimeSeries("collectd.test-db.load.value",
0, len(values), 1, values)
for i, val in enumerate(series):
self.assertEqual(val, values[i])
def test_TimeSeries_init_no_args(self):
with self.assertRaises(TypeError):
TimeSeries()
def test_TimeSeries_equal_list(self):
values = range(0, 100)
series = TimeSeries("collectd.test-db.load.value",
0, len(values), 1, values)
with self.assertRaises(AssertionError):
self.assertEqual(values, series)
def test_nonempty_false_nones(self):
series = TimeSeries("collectd.test-db.load.value",
0, 4, 1, [None, None, None, None])
self.assertFalse(nonempty(series))
def test_nonempty_true(self):
values = range(0, 100)
series = TimeSeries("collectd.test-db.load.value",
0, len(values), 1, values)
self.assertTrue(nonempty(series))
def test_TimeSeries_init_string_values(self):
series = TimeSeries("collectd.test-db.load.value",
0, 2, 1, "ab")
expected = TimeSeries("collectd.test-db.load.value",
0, 2, 1, ["a", "b"])
self.assertEqual(series, expected)