2017-04-13 08:12:56 +02:00
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from analytics.lib.counts import CountStat
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from analytics.lib.fixtures import generate_time_series_data
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2017-11-16 00:55:49 +01:00
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from zerver.lib.test_classes import ZulipTestCase
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2017-04-13 08:12:56 +02:00
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2020-06-11 00:54:34 +02:00
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2017-04-13 08:12:56 +02:00
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# A very light test suite; the code being tested is not run in production.
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class TestFixtures(ZulipTestCase):
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2017-11-05 06:54:00 +01:00
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def test_deterministic_settings(self) -> None:
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2017-04-13 08:12:56 +02:00
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# test basic business_hour / non_business_hour calculation
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# test we get an array of the right length with frequency=CountStat.DAY
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data = generate_time_series_data(
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2021-02-12 08:19:30 +01:00
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days=7, business_hours_base=20, non_business_hours_base=15, spikiness=0
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)
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2017-04-13 08:12:56 +02:00
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self.assertEqual(data, [400, 400, 400, 400, 400, 360, 360])
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data = generate_time_series_data(
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2021-02-12 08:19:30 +01:00
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days=1,
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business_hours_base=2000,
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non_business_hours_base=1500,
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growth=2,
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spikiness=0,
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frequency=CountStat.HOUR,
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)
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2017-04-13 08:12:56 +02:00
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# test we get an array of the right length with frequency=CountStat.HOUR
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self.assertEqual(len(data), 24)
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# test that growth doesn't affect the first data point
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self.assertEqual(data[0], 2000)
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# test that the last data point is growth times what it otherwise would be
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2021-02-12 08:19:30 +01:00
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self.assertEqual(data[-1], 1500 * 2)
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2017-04-13 08:12:56 +02:00
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# test autocorrelation == 1, since that's the easiest value to test
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data = generate_time_series_data(
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2021-02-12 08:19:30 +01:00
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days=1,
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business_hours_base=2000,
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non_business_hours_base=2000,
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autocorrelation=1,
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frequency=CountStat.HOUR,
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)
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2017-04-13 08:12:56 +02:00
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self.assertEqual(data[0], data[1])
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self.assertEqual(data[0], data[-1])
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