def statistics(self, start_date, end_date):
"""From collage snippet group. Brings statistics and collage
properties together.
"""
adapter = self.adapter
if adapter is None:
return []
# Calc periods based on aggregation period setting.
periods = dateperiods.calc_aggregation_periods(start_date, end_date,
self.aggregation_period)
statistics = []
for period_start_date, period_end_date in periods:
if not self.restrict_to_month or (
self.aggregation_period != dateperiods.MONTH) or (
self.aggregation_period == dateperiods.MONTH and
self.restrict_to_month == period_start_date.month):
# Base statistics for each period.
statistics_row = adapter.value_aggregate(
self.identifier,
{'min': None,
'max': None,
'avg': None,
'count_lt': self.boundary_value,
'count_gte': self.boundary_value,
'percentile': self.percentile_value},
start_date=period_start_date,
end_date=period_end_date)
# Add name.
if statistics_row:
statistics_row['name'] = self.name
statistics_row['period'] = dateperiods.fancy_period(
period_start_date, period_end_date,
self.aggregation_period)
statistics_row['boundary_value'] = self.boundary_value
statistics_row['percentile_value'] = self.percentile_value
statistics.append(statistics_row)
return statistics
def test_fancy_period(self):
start_date = datetime.datetime(1979, 5, 25, tzinfo=pytz.UTC)
end_date = datetime.datetime(1979, 7, 15, tzinfo=pytz.UTC)
self.assertTrue(dateperiods.fancy_period(
start_date, end_date, dateperiods.ALL))
self.assertTrue(dateperiods.fancy_period(
start_date, end_date, dateperiods.YEAR))
self.assertTrue(dateperiods.fancy_period(
start_date, end_date, dateperiods.QUARTER))
self.assertTrue(dateperiods.fancy_period(
start_date, end_date, dateperiods.MONTH))
self.assertTrue(dateperiods.fancy_period(
start_date, end_date, dateperiods.WEEK))
self.assertTrue(dateperiods.fancy_period(
start_date, end_date, dateperiods.DAY))
