def test_card_statistics(self):
data = cards.card_statistics(self.child)
stats = [{
'title': 'Diaper change frequency',
'stat': timezone.timedelta(0, 44228, 571429),
'type': 'duration'
}, {
'title': 'Feeding frequency',
'stat': timezone.timedelta(0, 7200),
'type': 'duration'
}, {
'title': 'Average nap duration',
'stat': timezone.timedelta(0, 4500),
'type': 'duration'
}, {
'title': 'Average naps per day',
'stat': 2.0,
'type': 'float'
}, {
'title': 'Average sleep duration',
'stat': timezone.timedelta(0, 6750),
'type': 'duration'
}, {
'title': 'Average awake duration',
'stat': timezone.timedelta(0, 19200),
'type': 'duration'
}, {
'title': 'Weight change per week',
'stat': 1.0,
'type': 'float'
}]
self.assertEqual(data['stats'], stats)
def test_card_statistics(self):
data = cards.card_statistics(self.context, self.child)
stats = [
{
'title': 'Diaper change frequency',
'stat': timezone.timedelta(0, 44228, 571429),
'type': 'duration'
},
# Statistics date basis is not particularly strong to these feeding
# examples.
# TODO: Improve testing of feeding frequency statistics.
{
'type': 'duration',
'stat': 0.0,
'title': 'Feeding frequency (past 3 days)'
},
{
'type': 'duration',
'stat': 0.0,
'title': 'Feeding frequency (past 2 weeks)'
},
{
'type': 'duration',
'stat': timezone.timedelta(0, 7200),
'title': 'Feeding frequency'
},
{
'title': 'Average nap duration',
'stat': timezone.timedelta(0, 4500),
'type': 'duration'
},
{
'title': 'Average naps per day',
'stat': 2.0,
'type': 'float'
},
{
'title': 'Average sleep duration',
'stat': timezone.timedelta(0, 6750),
'type': 'duration'
},
{
'title': 'Average awake duration',
'stat': timezone.timedelta(0, 19200),
'type': 'duration'
},
{
'title': 'Weight change per week',
'stat': 1.0,
'type': 'float'
}
]
self.assertEqual(data['stats'], stats)
self.assertFalse(data['empty'])
self.assertFalse(data['hide_empty'])
def test_card_statistics(self):
data = cards.card_statistics(self.child)
stats = [
{
'title': 'Diaper change frequency',
'stat': timezone.timedelta(0, 44228, 571429),
'type': 'duration'
},
{
'title': 'Feeding frequency',
'stat': timezone.timedelta(0, 7200),
'type': 'duration'
},
{
'title': 'Average nap duration',
'stat': timezone.timedelta(0, 4500),
'type': 'duration'
},
{
'title': 'Average naps per day',
'stat': 2.0,
'type': 'float'
},
{
'title': 'Average sleep duration',
'stat': timezone.timedelta(0, 6750),
'type': 'duration'
},
{
'title': 'Average awake duration',
'stat': timezone.timedelta(0, 19200),
'type': 'duration'
},
{
'title': 'Weight change per week',
'stat': 1.0, 'type':
'float'
}
]
# Python 2 comes up with a slightly different number for one record.
if six.PY2:
stats[0]['stat'] = timezone.timedelta(0, 44228, 571428)
self.assertEqual(data['stats'], stats)
def test_card_statistics(self):
data = cards.card_statistics(self.context, self.child)
stats = [
# Statistics date basis is not particularly strong to these diaper change
# examples.
# TODO: Improve testing of diaper change frequency statistics.
{
"type": "duration",
"stat": 0.0,
"title": "Diaper change frequency (past 3 days)",
},
{
"type": "duration",
"stat": 0.0,
"title": "Diaper change frequency (past 2 weeks)",
},
{
"title": "Diaper change frequency",
"stat": timezone.timedelta(0, 44228, 571429),
"type": "duration",
},
# Statistics date basis is not particularly strong to these feeding
# examples.
# TODO: Improve testing of feeding frequency statistics.
{
"type": "duration",
"stat": 0.0,
"title": "Feeding frequency (past 3 days)",
},
{
"type": "duration",
"stat": 0.0,
"title": "Feeding frequency (past 2 weeks)",
},
{
"type": "duration",
"stat": timezone.timedelta(days=1, seconds=46980),
"title": "Feeding frequency",
},
{
"title": "Average nap duration",
"stat": timezone.timedelta(0, 4500),
"type": "duration",
},
{
"title": "Average naps per day",
"stat": 2.0,
"type": "float"
},
{
"title": "Average sleep duration",
"stat": timezone.timedelta(0, 6750),
"type": "duration",
},
{
"title": "Average awake duration",
"stat": timezone.timedelta(0, 19200),
"type": "duration",
},
{
"title": "Weight change per week",
"stat": 1.0,
"type": "float"
},
{
"title": "Height change per week",
"stat": 1.0,
"type": "float"
},
{
"title": "Head circumference change per week",
"stat": 1.0,
"type": "float",
},
{
"title": "BMI change per week",
"stat": 1.0,
"type": "float"
},
]
self.assertEqual(data["stats"], stats)
self.assertFalse(data["empty"])
self.assertFalse(data["hide_empty"])