def test_momentum_effect_for_too_few_glucose(self):
(i_date_list, i_glucose_list, display_list, providence_list
) = self.load_input_fixture("momentum_effect_bouncing_glucose_input")
glucose_effect_dates = linear_momentum_effect(i_date_list[0:1],
i_glucose_list[0:1],
display_list[0:1],
providence_list[0:1])[0]
self.assertEqual(0, len(glucose_effect_dates))
def test_momentum_effect_for_duplicate_glucose(self):
(i_date_list, i_glucose_list, display_list, providence_list
) = self.load_input_fixture("momentum_effect_duplicate_glucose_input")
glucose_effect_dates = linear_momentum_effect(i_date_list,
i_glucose_list,
display_list,
providence_list)[0]
self.assertEqual(0, len(glucose_effect_dates))
def test_momentum_effect_for_bouncing_glucose(self):
(i_date_list, i_glucose_list, display_list, providence_list
) = self.load_input_fixture("momentum_effect_bouncing_glucose_input")
(expected_date_list, expected_glucose_list) = self.load_output_fixture(
"momentum_effect_bouncing_glucose_output")
(glucose_effect_dates, glucose_effect_values) = linear_momentum_effect(
i_date_list, i_glucose_list, display_list, providence_list)
self.assertEqual(len(expected_date_list), len(glucose_effect_dates))
for i in range(0, len(expected_date_list)):
self.assertEqual(expected_date_list[i], glucose_effect_dates[i])
self.assertAlmostEqual(glucose_effect_values[i],
expected_glucose_list[i], 2)
def get_recent_momentum_effects(glucose_starts,
glucose_values,
start_date,
now_date,
momentum_data_interval=15,
delta=5,
display_list=None,
provenances=None):
""" Get glucose momentum effects
Arguments:
glucose_starts -- list of datetime objects of times of glucose values
glucose_values -- list of glucose values (unit: mg/dL)
start_date -- date to start calculating momentum effects
now_date -- the date to assume as the "now" time (aka datetime.now())
momentum_data_interval -- time to generate momentum effects out to (mins)
delta -- time between blood glucose measurements (mins)
display_list -- list of display_only booleans
provenances -- list of provenances (Strings)
Output:
Momentum effects in format (date_of_effect, value_of_effect)
"""
assert len(glucose_starts) == len(glucose_values),\
"expected input shapes to match"
if not glucose_starts or not start_date:
return ([], [])
(filtered_dates, ends, filtered_values) = filter_date_range(
glucose_starts, [], glucose_values,
now_date - timedelta(minutes=momentum_data_interval), None)
if not display_list:
display_list = [False for i in filtered_dates]
if not provenances:
provenances = ["PyLoop" for i in filtered_dates]
effects = linear_momentum_effect(filtered_dates, filtered_values,
display_list, provenances,
momentum_data_interval, delta)
return effects
def test_momentum_effect_for_empty_glucose(self):
glucose_effect_dates = linear_momentum_effect([], [], [], [])[0]
self.assertEqual(0, len(glucose_effect_dates))