def normalize_datetime_slices(self):
m = TimeseriesMetric(
start_date='2013-01-01 23:00:00',
end_date='2013-01-03 00:00:00',
timeseries=TimeseriesChoices.HOUR,
)
results = {
1: {
'test': {
'2013-01-02 01:00:00': 12,
'2013-01-02 14:00:00': 11,
}
}
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected = OrderedDict()
expected['2013-01-01 23:00:00'] = 0
expected['2013-01-02 00:00:00'] = 0
expected['2013-01-02 01:00:00'] = 12
expected['2013-01-02 02:00:00'] = 0
expected['2013-01-02 03:00:00'] = 0
expected['2013-01-02 04:00:00'] = 0
expected['2013-01-02 05:00:00'] = 0
expected['2013-01-02 06:00:00'] = 0
expected['2013-01-02 07:00:00'] = 0
expected['2013-01-02 08:00:00'] = 0
expected['2013-01-02 09:00:00'] = 0
expected['2013-01-02 10:00:00'] = 0
expected['2013-01-02 11:00:00'] = 0
expected['2013-01-02 12:00:00'] = 0
expected['2013-01-02 13:00:00'] = 0
expected['2013-01-02 14:00:00'] = 11
expected['2013-01-02 15:00:00'] = 0
expected['2013-01-02 16:00:00'] = 0
expected['2013-01-02 17:00:00'] = 0
expected['2013-01-02 18:00:00'] = 0
expected['2013-01-02 19:00:00'] = 0
expected['2013-01-02 20:00:00'] = 0
expected['2013-01-02 21:00:00'] = 0
expected['2013-01-02 22:00:00'] = 0
expected['2013-01-02 23:00:00'] = 0
assert_equals(r, {1: {'test': expected}})
def normalize_datetime_slices(self):
m = TimeseriesMetric(
start_date='2013-01-01 23:00:00',
end_date='2013-01-03 00:00:00',
timeseries=TimeseriesChoices.HOUR,
)
results = {
1: {
'test': {
'2013-01-02 01:00:00': 12,
'2013-01-02 14:00:00': 11,
}
}
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected = OrderedDict()
expected['2013-01-01 23:00:00'] = 0
expected['2013-01-02 00:00:00'] = 0
expected['2013-01-02 01:00:00'] = 12
expected['2013-01-02 02:00:00'] = 0
expected['2013-01-02 03:00:00'] = 0
expected['2013-01-02 04:00:00'] = 0
expected['2013-01-02 05:00:00'] = 0
expected['2013-01-02 06:00:00'] = 0
expected['2013-01-02 07:00:00'] = 0
expected['2013-01-02 08:00:00'] = 0
expected['2013-01-02 09:00:00'] = 0
expected['2013-01-02 10:00:00'] = 0
expected['2013-01-02 11:00:00'] = 0
expected['2013-01-02 12:00:00'] = 0
expected['2013-01-02 13:00:00'] = 0
expected['2013-01-02 14:00:00'] = 11
expected['2013-01-02 15:00:00'] = 0
expected['2013-01-02 16:00:00'] = 0
expected['2013-01-02 17:00:00'] = 0
expected['2013-01-02 18:00:00'] = 0
expected['2013-01-02 19:00:00'] = 0
expected['2013-01-02 20:00:00'] = 0
expected['2013-01-02 21:00:00'] = 0
expected['2013-01-02 22:00:00'] = 0
expected['2013-01-02 23:00:00'] = 0
assert_equals(r, {1: {'test': expected}})
def test_first_date_ordered_properly_without_return_value(self):
m = TimeseriesMetric(
start_date='2013-01-01 00:00:00',
end_date='2013-03-02 00:00:00',
timeseries=TimeseriesChoices.MONTH,
)
results = {
1: {
'test': {
'2013-03-01 00:00:00': 1,
}
},
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected = OrderedDict()
expected['2013-01-01 00:00:00'] = 0
expected['2013-02-01 00:00:00'] = 0
expected['2013-03-01 00:00:00'] = 1
assert_equals(r, {1: {'test': expected}})
def test_normalize_datetime_slices_year(self):
m = TimeseriesMetric(
start_date='2013-03-10 00:00:00',
end_date='2015-03-05 00:00:00',
timeseries=TimeseriesChoices.YEAR,
)
results = {
1: {
'test': {
'2013-01-01 00:00:00': 12,
}
},
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected = OrderedDict()
expected['2013-03-10 00:00:00'] = 12
expected['2014-01-01 00:00:00'] = 0
expected['2015-01-01 00:00:00'] = 0
assert_equals(r, {1: {'test': expected}})
def test_first_date_ordered_properly_without_return_value(self):
m = TimeseriesMetric(
start_date='2013-01-01 00:00:00',
end_date='2013-03-02 00:00:00',
timeseries=TimeseriesChoices.MONTH,
)
results = {
1: {
'test': {
'2013-03-01 00:00:00': 1,
}
},
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected = OrderedDict()
expected['2013-01-01 00:00:00'] = 0
expected['2013-02-01 00:00:00'] = 0
expected['2013-03-01 00:00:00'] = 1
assert_equals(r, {1: {'test': expected}})
def test_normalize_datetime_slices_year(self):
m = TimeseriesMetric(
start_date='2013-03-10 00:00:00',
end_date='2015-03-05 00:00:00',
timeseries=TimeseriesChoices.YEAR,
)
results = {
1: {
'test': {
'2013-01-01 00:00:00': 12,
}
},
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected = OrderedDict()
expected['2013-03-10 00:00:00'] = 12
expected['2014-01-01 00:00:00'] = 0
expected['2015-01-01 00:00:00'] = 0
assert_equals(r, {1: {'test': expected}})
def test_normalize_datetime_slices_day(self):
m = TimeseriesMetric(
start_date='2013-01-01 00:00:00',
end_date='2013-01-05 00:00:00',
timeseries=TimeseriesChoices.DAY,
)
results = {
1: {
'test': {
'2013-01-02 00:00:00': 23,
'2013-01-04 00:00:00': 19,
}
},
2: {
'test': {
'2013-01-03 00:00:00': 23,
'2013-01-04 00:00:00': 19,
}
}
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected1 = OrderedDict()
expected1['2013-01-01 00:00:00'] = 0
expected1['2013-01-02 00:00:00'] = 23
expected1['2013-01-03 00:00:00'] = 0
expected1['2013-01-04 00:00:00'] = 19
expected2 = OrderedDict()
expected2['2013-01-01 00:00:00'] = 0
expected2['2013-01-02 00:00:00'] = 0
expected2['2013-01-03 00:00:00'] = 23
expected2['2013-01-04 00:00:00'] = 19
assert_equals(r[1], {'test': expected1})
assert_equals(r[2], {'test': expected2})
def test_normalize_datetime_slices_day(self):
m = TimeseriesMetric(
start_date='2013-01-01 00:00:00',
end_date='2013-01-05 00:00:00',
timeseries=TimeseriesChoices.DAY,
)
results = {
1: {
'test': {
'2013-01-02 00:00:00': 23,
'2013-01-04 00:00:00': 19,
}
},
2: {
'test': {
'2013-01-03 00:00:00': 23,
'2013-01-04 00:00:00': 19,
}
}
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected1 = OrderedDict()
expected1['2013-01-01 00:00:00'] = 0
expected1['2013-01-02 00:00:00'] = 23
expected1['2013-01-03 00:00:00'] = 0
expected1['2013-01-04 00:00:00'] = 19
expected2 = OrderedDict()
expected2['2013-01-01 00:00:00'] = 0
expected2['2013-01-02 00:00:00'] = 0
expected2['2013-01-03 00:00:00'] = 23
expected2['2013-01-04 00:00:00'] = 19
assert_equals(r[1], {'test': expected1})
assert_equals(r[2], {'test': expected2})
def test_normalize_datetime_slices_start_date_forces_first_interval(self):
m = TimeseriesMetric(
start_date='2013-01-02 00:00:00',
end_date='2013-03-05 00:00:00',
timeseries=TimeseriesChoices.MONTH,
)
results = {
1: {
'test': {
'2013-01-01 00:00:00': 12,
'2013-03-01 00:00:00': 1,
}
},
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected = OrderedDict()
# The first interval starts on the 2nd and not the 1st
expected['2013-01-02 00:00:00'] = 12
expected['2013-02-01 00:00:00'] = 0
expected['2013-03-01 00:00:00'] = 1
assert_equals(r, {1: {'test': expected}})
def test_normalize_datetime_slices_start_date_forces_first_interval(self):
m = TimeseriesMetric(
start_date='2013-01-02 00:00:00',
end_date='2013-03-05 00:00:00',
timeseries=TimeseriesChoices.MONTH,
)
results = {
1: {
'test': {
'2013-01-01 00:00:00': 12,
'2013-03-01 00:00:00': 1,
}
},
}
r = m.normalize_datetime_slices(results, [('test', 1, 0)])
expected = OrderedDict()
# The first interval starts on the 2nd and not the 1st
expected['2013-01-02 00:00:00'] = 12
expected['2013-02-01 00:00:00'] = 0
expected['2013-03-01 00:00:00'] = 1
assert_equals(r, {1: {'test': expected}})
