def test_aggregate_metrics_to_monthly_is_correct_for_uncast_dates_with_averaged_columns(
self):
data = {
'2017-08-02': {
'conversions': 1,
'cpc': 2,
'cost': 4
},
'2017-08-04': {
'conversions': 8,
'cpc': 16,
'cost': 32
},
'2017-09-02': {
'conversions': 64,
'cpc': 128,
'cost': 256
},
'2016-08-08': {
'conversions': 512,
'cpc': 1024,
'cost': 2048
},
}
expected = {
'2017-08-01': {
'conversions': 9,
'cpc': 9,
'cost': 36
},
'2017-09-01': {
'conversions': 64,
'cpc': 128,
'cost': 256
},
'2016-08-01': {
'conversions': 512,
'cpc': 1024,
'cost': 2048
},
}
self.assertEqual(
Adapter.aggregate_metrics_to_monthly(data,
date_format='%Y-%m-%d',
average_columns=('cpc', )),
expected,
)
def test_aggregate_metrics_to_monthly_is_correct_with_averaged_columns(
self):
data = {
date(2017, 8, 2): {
'conversions': 1,
'cpc': 2,
'cost': 4
},
date(2017, 8, 4): {
'conversions': 8,
'cpc': 16,
'cost': 32
},
date(2017, 9, 2): {
'conversions': 64,
'cpc': 128,
'cost': 256
},
date(2016, 8, 8): {
'conversions': 512,
'cpc': 1024,
'cost': 2048
},
}
expected = {
date(2017, 8, 1): {
'conversions': 9,
'cpc': 9,
'cost': 36
},
date(2017, 9, 1): {
'conversions': 64,
'cpc': 128,
'cost': 256
},
date(2016, 8, 1): {
'conversions': 512,
'cpc': 1024,
'cost': 2048
},
}
self.assertEqual(
Adapter.aggregate_metrics_to_monthly(data,
average_columns=('cpc', )),
expected,
)
