def get_participantTags(self):
tag_list = []
# TODO: Implement Participant Tags
# For NLM
study_type_service = StudyTypeService("NLM", user=self.user)
if study_type_service.is_cohort_assigned(self.participant.cohort):
tag_list.append("NLM")
# TODO: Add more tags if necessary
return tag_list
def nlm_base_hourly_task(parameters):
# try to bring all hourly studies
hourly_study_types = StudyType.objects.filter(frequency=StudyType.HOURLY).all()
for an_hourly_study_type in hourly_study_types:
# try to bring nlm study architecture
log("hourly study type discovered: {}".format(an_hourly_study_type.name))
study_type_service = StudyTypeService.create_service(an_hourly_study_type)
cohort_assignments = study_type_service.get_all_child_cohort_assignments()
for a_cohort_assignment in cohort_assignments:
log("cohort discovered: {}".format(a_cohort_assignment))
a_cohort = a_cohort_assignment.cohort
participants = Participant.objects.filter(cohort=a_cohort, active=True).all()
for a_participant in participants:
log("participant discovered: {}".format(a_participant))
# generic_messages_service = GenericMessagesService.create_service(username=a_participant.user.username)
# sent_message = generic_messages_service.send_message("test intervention", "Notification.GenericMessagesTest2", "Title from Tasks", "Body from Tasks: {}".format(parameters["minute"]), False)
# log('Message sent using generic_messages: msg-{}, url- /notification/{}'.format("Sample Body: {}".format(parameters["minute"]), sent_message.data["messageId"]))
study_type_service.handle_participant_hourly_task(a_participant.user)
def test_check_sequence_assignment_3(self):
study_type_service = StudyTypeService(self.study_type_name, self.user)
self.assertFalse(study_type_service.is_level_sequence_assigned(self.user))
sample_sequence = ["1"] * 5
sample_sequence_str = ",".join(sample_sequence)
sample_csv = [sample_sequence_str] * 3
# sample_csv = ['"1","1","1","1","1"',
# '"1","1","1","1","1"',
# '"1","1","1","1","1"'
# ]
study_type_service.upload_level_csv("sample.csv", "sample_csv", sample_csv)
study_type_service.assign_level_sequence(self.user, "sample_csv")
self.assertTrue(study_type_service.is_level_sequence_assigned(self.user))
study_type_service.delete_level_csv("sample_csv")
def test_create_preloaded_level_sequence_file(self):
study_type_service = StudyTypeService(self.study_type_name, self.user)
sample_sequence = ["1"] * 5
sample_sequence_str = ",".join(sample_sequence)
sample_csv = [sample_sequence_str] * 3
# print(sample_csv)
study_type_service.upload_level_csv("sample.csv", "sample_csv", sample_csv)
# dev_service = DevService(self.user)
# print(dev_service.view_preloaded_seq())
study_type_service.delete_level_csv("sample_csv")
def test_is_decision_point_1(self):
study_type_service = StudyTypeService(self.study_type_name, self.user)
self.assertFalse(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 7, 59, 59)))
self.assertTrue(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 8, 0, 0)))
self.assertTrue(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 8, 1, 0)))
self.assertTrue(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 8, 3, 0)))
self.assertTrue(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 8, 10, 0)))
self.assertFalse(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 8, 10, 1)))
self.assertFalse(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 10, 59, 59)))
self.assertTrue(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 11, 0, 0)))
self.assertTrue(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 11, 1, 0)))
self.assertTrue(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 11, 3, 0)))
self.assertTrue(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 11, 10, 0)))
self.assertFalse(study_type_service.is_decision_needed(self.user, test_time=datetime(2021, 6, 3, 11, 10, 1)))
def test_fetch_todays_level(self):
study_type_service = StudyTypeService(self.study_type_name, self.user)
self.assertFalse(study_type_service.is_level_sequence_assigned(self.user))
sample_sequence = [str(StudyTypeService.LEVEL1)] * 5
sample_sequence_str = ",".join(sample_sequence)
sample_csv = [sample_sequence_str] * 3
# sample_csv = ['"1","1","1","1","1"',
# '"1","1","1","1","1"',
# '"1","1","1","1","1"'
# ]
study_type_service.upload_level_csv("sample.csv", "sample_csv", sample_csv)
study_type_service.assign_level_sequence(self.user, "sample_csv")
self.assertTrue(study_type_service.is_level_sequence_assigned(self.user))
self.assertEqual(StudyTypeService.LEVEL1, study_type_service.fetch_todays_level(self.user))
study_type_service.delete_level_csv("sample_csv")
def test_check_sequence_assignment_2(self):
study_type_service = StudyTypeService(self.study_type_name, self.user)
self.assertFalse(study_type_service.is_level_sequence_assigned(self.user))
def test_assign_level_sequence_2(self):
study_type_service = StudyTypeService(self.study_type_name, self.user)
self.assertRaises(PreloadedLevelSequenceFile.DoesNotExist, study_type_service.assign_level_sequence, self.user, "sample_seq")
def test_assign_level_sequence_1(self):
study_type_service = StudyTypeService(self.study_type_name, self.user)
self.assertRaises(AssertionError, study_type_service.assign_level_sequence, self.user, None)
def test_handle_conditionality(self):
study_type_service = StudyTypeService(self.study_type_name, self.user)
nlm_base_hourly_task({})
def test_use_conditionality_parameter_with_setting(self):
study_type_service = StudyTypeService(self.study_type_name, self.user)
name = "random with parameterized threshold"
description = "random with parameterized threshold"
module_path = "nlm.conditionality.parameterized_conditionality"
try:
study_type_service.remove_conditionality(module_path)
except:
pass
new_conditionality = study_type_service.add_conditionality(name, description, module_path)
conditionality_parameter_name = "nlm.test.test_conditionality.ramdom.threshold"
try:
study_type_service.remove_conditionality_parameter(new_conditionality, conditionality_parameter_name)
except:
pass
study_type_service.set_conditionality_parameter(new_conditionality, conditionality_parameter_name, 0.2)
conditionality_parameter_name2 = "nlm.test.test_conditionality.ramdom.test_str"
try:
study_type_service.remove_conditionality_parameter(new_conditionality, conditionality_parameter_name2)
except:
pass
study_type_service.set_conditionality_parameter(new_conditionality, conditionality_parameter_name2, "test string")
params = ProgramletParameters(
"Test_Test",
study_type_service,
new_conditionality)
study_type_service.call_conditionality(module_path, parameters=params)
study_type_service.remove_conditionality_parameter(new_conditionality, conditionality_parameter_name)
study_type_service.remove_conditionality_parameter(new_conditionality, conditionality_parameter_name2)
study_type_service.remove_conditionality(module_path)