def test_holt_winters(self):
timespan = 3600 * 24 * 8 # 8 days
stop = int(time.time())
step = 100
series = TimeSeries('foo.bar',
stop - timespan,
stop,
step,
[x**1.5 for x in range(0, timespan, step)])
series[10] = None
series.pathExpression = 'foo.bar'
self.write_series(series, [(100, timespan)])
ctx = {
'startTime': parseATTime('-1d'),
}
analysis = functions.holtWintersForecast(ctx, [series])
self.assertEqual(len(analysis), 1)
analysis = functions.holtWintersConfidenceBands(ctx, [series])
self.assertEqual(len(analysis), 2)
analysis = functions.holtWintersConfidenceArea(ctx, [series])
self.assertEqual(len(analysis), 2)
analysis = functions.holtWintersAberration(ctx, [series])
self.assertEqual(len(analysis), 1)
def test_holt_winters(self):
timespan = 3600 * 24 * 8 # 8 days
stop = int(time.time())
step = 100
series = TimeSeries('foo.bar', stop - timespan, stop, step,
[x**1.5 for x in range(0, timespan, step)])
series[10] = None
series.pathExpression = 'foo.bar'
self.write_series(series, [(100, timespan)])
ctx = {
'startTime': parseATTime('-1d'),
}
analysis = functions.holtWintersForecast(ctx, [series])
self.assertEqual(len(analysis), 1)
analysis = functions.holtWintersConfidenceBands(ctx, [series])
self.assertEqual(len(analysis), 2)
analysis = functions.holtWintersConfidenceArea(ctx, [series])
self.assertEqual(len(analysis), 2)
analysis = functions.holtWintersAberration(ctx, [series])
self.assertEqual(len(analysis), 1)