def test_usage_type_average(self):
result = UsagePlugin.costs(
start=datetime.date(2013, 10, 10),
end=datetime.date(2013, 10, 20),
usage_type=self.usage_type_average,
ventures=self.ventures_subset,
forecast=False,
)
self.assertEquals(result, {
1: {
'ut_4_count': 40.0, # average daily usage
'ut_4_cost': D('8800'),
},
2: {
'ut_4_count': 80.0, # average daily usage
'ut_4_cost': D('17600'),
},
})
def test_get_usages_incomplete_price(self):
result = UsagePlugin.costs(
start=datetime.date(2013, 10, 10),
end=datetime.date(2013, 10, 30),
usage_type=self.usage_type,
ventures=self.ventures_subset,
forecast=False,
no_price_msg=True,
)
self.assertEquals(result, {
1: {
'ut_1_count': 130.0, # 13 * 10
'ut_1_cost': _('Incomplete price'),
},
2: {
'ut_1_count': 260.0, # 13 * 20
'ut_1_cost': _('Incomplete price'),
}
})
def test_get_usages(self):
result = UsagePlugin.costs(
start=datetime.date(2013, 10, 10),
end=datetime.date(2013, 10, 20),
usage_type=self.usage_type,
ventures=self.ventures_subset,
forecast=False,
no_price_msg=False,
)
self.assertEquals(result, {
1: {
'ut_1_count': 110.0, # 11 * 10
'ut_1_cost': D('2200'), # 10 * (3 * 10 + 5 * 20 + 3 * 30)
},
2: {
'ut_1_count': 220.0, # 11 * 20
'ut_1_cost': D('4400'), # 20 * (3 * 10 + 5 * 20 + 3 * 30)
}
})
def test_usage_type_average(self):
result = UsagePlugin.costs(
start=datetime.date(2013, 10, 10),
end=datetime.date(2013, 10, 20),
usage_type=self.usage_type_average,
ventures=self.ventures_subset,
forecast=False,
)
self.assertEquals(
result,
{
1: {
'ut_4_count': 40.0, # average daily usage
'ut_4_cost': D('8800'),
},
2: {
'ut_4_count': 80.0, # average daily usage
'ut_4_cost': D('17600'),
},
})
def test_get_usages_incomplete_price(self):
result = UsagePlugin.costs(
start=datetime.date(2013, 10, 10),
end=datetime.date(2013, 10, 30),
usage_type=self.usage_type,
ventures=self.ventures_subset,
forecast=False,
no_price_msg=True,
)
self.assertEquals(
result,
{
1: {
'ut_1_count': 130.0, # 13 * 10
'ut_1_cost': _('Incomplete price'),
},
2: {
'ut_1_count': 260.0, # 13 * 20
'ut_1_cost': _('Incomplete price'),
}
})
def test_get_usages(self):
result = UsagePlugin.costs(
start=datetime.date(2013, 10, 10),
end=datetime.date(2013, 10, 20),
usage_type=self.usage_type,
ventures=self.ventures_subset,
forecast=False,
no_price_msg=False,
)
self.assertEquals(
result,
{
1: {
'ut_1_count': 110.0, # 11 * 10
'ut_1_cost': D('2200'), # 10 * (3 * 10 + 5 * 20 + 3 * 30)
},
2: {
'ut_1_count': 220.0, # 11 * 20
'ut_1_cost': D('4400'), # 20 * (3 * 10 + 5 * 20 + 3 * 30)
}
})
def test_get_usages_no_price(self):
start = datetime.date(2013, 11, 8)
end = datetime.date(2013, 11, 22)
base_usage_types = models.UsageType.objects.filter(type='BU')
for i, ut in enumerate(base_usage_types, start=1):
days = rrule.rrule(rrule.DAILY, dtstart=start, until=end)
for j, day in enumerate(days, start=1):
for k, venture in enumerate(self.ventures, start=1):
daily_usage = models.DailyUsage(
date=day,
pricing_venture=venture,
value=10 * i * k,
type=ut,
)
if ut.by_warehouse:
daily_usage.warehouse = (
self.warehouses[j % len(self.warehouses)])
daily_usage.save()
result = UsagePlugin.costs(
start=datetime.date(2013, 11, 10),
end=datetime.date(2013, 11, 20),
usage_type=self.usage_type,
ventures=self.ventures_subset,
forecast=False,
no_price_msg=True,
)
self.assertEquals(
result,
{
1: {
'ut_1_count': 110.0, # 11 * 10
'ut_1_cost': _('No price'),
},
2: {
'ut_1_count': 220.0, # 11 * 20
'ut_1_cost': _('No price'),
}
})
def test_get_usages_no_price(self):
start = datetime.date(2013, 11, 8)
end = datetime.date(2013, 11, 22)
base_usage_types = models.UsageType.objects.filter(type='BU')
for i, ut in enumerate(base_usage_types, start=1):
days = rrule.rrule(rrule.DAILY, dtstart=start, until=end)
for j, day in enumerate(days, start=1):
for k, venture in enumerate(self.ventures, start=1):
daily_usage = models.DailyUsage(
date=day,
pricing_venture=venture,
value=10 * i * k,
type=ut,
)
if ut.by_warehouse:
daily_usage.warehouse = (
self.warehouses[j % len(self.warehouses)]
)
daily_usage.save()
result = UsagePlugin.costs(
start=datetime.date(2013, 11, 10),
end=datetime.date(2013, 11, 20),
usage_type=self.usage_type,
ventures=self.ventures_subset,
forecast=False,
no_price_msg=True,
)
self.assertEquals(result, {
1: {
'ut_1_count': 110.0, # 11 * 10
'ut_1_cost': _('No price'),
},
2: {
'ut_1_count': 220.0, # 11 * 20
'ut_1_cost': _('No price'),
}
})
