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d260a22637
This is a first pass at building a framework for collecting various stats about realms, users, streams, etc. Includes: * New analytics tables for storing counts data * Raw SQL queries for pulling data from zerver/models.py tables * Aggregation functions for aggregating hourly stats into daily stats, and aggregating user/stream level stats into realm level stats * A management command for pulling the data Note that counts.py was added to the linter exclude list due to errors around %%s.
29 lines
1.4 KiB
Python
29 lines
1.4 KiB
Python
from django.test import TestCase
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from django.utils import timezone
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from analytics.lib.interval import TimeInterval, floor_to_interval_boundary, subtract_interval, timeinterval_range
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from datetime import datetime, timedelta
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class TimeIntervalTest(TestCase):
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def test_time_interval_creation(self):
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# type: () -> None
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time_interval = TimeInterval('day', datetime(2016, 4, 29, 3, 14, 15, 926535).replace(tzinfo=timezone.utc))
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self.assertEqual(time_interval.start, datetime(2016, 4, 28, 3, 0, 0).replace(tzinfo=timezone.utc))
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self.assertEqual(time_interval.end, datetime(2016, 4, 29, 3, 0, 0).replace(tzinfo=timezone.utc))
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def test_datetime_leap_second(self):
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# type: () -> None
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after_leap = datetime(2015, 7, 1)
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self.assertEqual(subtract_interval(after_leap, 'hour'), datetime(2015, 6, 30, 23))
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def test_timeinterval_range(self):
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# type: () -> None
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first = datetime(2016, 4, 29, 3, 14, 15, 926535).replace(tzinfo=timezone.utc)
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self.assertEqual(len(timeinterval_range(first, first + timedelta(days = 1), 'day', 'hour')), 24)
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first_hour = floor_to_interval_boundary(first, 'hour')
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self.assertEqual(len(timeinterval_range(first_hour, first_hour + timedelta(days = 1), 'day', 'hour')), 25)
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self.assertEqual(len(timeinterval_range(first_hour, first_hour + timedelta(days = 1), 'day', 'day')), 1)
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# TODO: test UTC / timezone flooring stuff
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