def test_desc_order(self):
"""
Check the returned data is in descending order by date.
"""
d_range = (datetime.date(2012, 05, 01), datetime.date(2012, 05, 15))
stats = list(get_series_line(Contribution, 'day', addon=self.app.pk,
date__range=d_range))
eq_(stats, sorted(stats, key=lambda x: x['date'], reverse=True))
def test_desc_order(self):
"""
Check the returned data is in descending order by date.
"""
d_range = (datetime.date(2012, 05, 01), datetime.date(2012, 05, 15))
stats = list(get_series_line(Contribution, 'day', addon=self.app.pk,
date__range=d_range))
eq_(stats, sorted(stats, key=lambda x: x['date'], reverse=True))
def test_basic(self):
"""
Check a sale (count) is found for each day in the expected range.
"""
d_range = (datetime.date(2012, 05, 01), datetime.date(2012, 05, 15))
stats = list(get_series_line(Contribution, 'day', addon=self.app.pk,
date__range=d_range))
dates_with_sales = [c['date'] for c in stats if c['count'] > 0]
days = [d.day for d in dates_with_sales]
for day in self.expected_days:
eq_(day in days, True)
def test_basic(self):
"""
Check a sale (count) is found for each day in the expected range.
"""
d_range = (datetime.date(2012, 05, 01), datetime.date(2012, 05, 15))
stats = list(get_series_line(Contribution, 'day', addon=self.app.pk,
date__range=d_range))
dates_with_sales = [c['date'] for c in stats if c['count'] > 0]
days = [d.day for d in dates_with_sales]
for day in self.expected_days:
eq_(day in days, True)
def test_revenue(self):
"""
Check each day's revenue is correct.
"""
d_range = (datetime.date(2012, 05, 01), datetime.date(2012, 05, 05))
stats = list(get_series_line(Contribution, 'day',
primary_field='revenue',
addon=self.app.pk,
date__range=d_range))
for stat, day in zip(stats, sorted(self.expected_days, reverse=True)):
expected_revenue = day * .99
eq_(round(stat['count'], 2), round(expected_revenue, 2))
def test_revenue(self):
"""
Check each day's revenue is correct.
"""
d_range = (datetime.date(2012, 05, 01), datetime.date(2012, 05, 05))
stats = list(get_series_line(Contribution, 'day',
primary_field='revenue',
addon=self.app.pk,
date__range=d_range))
for stat, day in zip(stats, sorted(self.expected_days, reverse=True)):
expected_revenue = day * .99
eq_(round(stat['count'], 2), round(expected_revenue, 2))
