def test_ok(self):
from meta_lists.list_data import list_data
PreloadData(list_data=list_data)
data = {k: v for k, v in self.get_options().items()}
form = PatientHistoryForm(data=data)
form.is_valid()
pprint(form._errors)
self.assertEqual(form._errors, {})
list_data = {
'trainee_prn.deathcauseinfo':
[('No information will ever be available',
'No information will ever be available'),
('Other, specify', 'Other, specify'), ('Autopsy', 'Autopsy'),
('Clinical record', 'Clinical record'),
('Information from physician/nurse/other health care provider',
'Information from physician/nurse/other health care provider'),
('Information from participant\u2019s relatives or friends',
'Information from participant\u2019s relatives or friends'),
('Information requested, still pending',
'Information requested, still pending')],
'trainee_prn.causecategory':
[('No information will ever be available',
'No information will ever be available'),
('Other, specify', 'Other, specify'), ('Cancer', 'Cancer'),
('HIV infection or HIV/AIDS-related diagnosis',
'HIV infection or HIV/AIDS-related diagnosis'),
('Disease/injury unrelated to cancer or HIV',
'Disease/injury unrelated to cancer or HIV'),
('Toxicity from cancer treatment (complications of chemotherapy, radiation, or surgery)',
'Toxicity from cancer treatment (complications of chemotherapy, radiation, or surgery)'
),
('Toxicity from HIV/AIDS treatment (HAART or treatment of HIV/AIDS-related diagnosis)',
'Toxicity from HIV/AIDS treatment (HAART or treatment of HIV/AIDS-related diagnosis)'
)]
}
preload_data = PreloadData(list_data=list_data)
('no_treatment', '- No treatment'),
(OTHER, '- Other, specify')
],
'ambition_ae.meningitissymptom': [
('headache', 'Headache'),
('vomiting', 'Vomiting'),
('fever', 'Fever'),
('seizures', 'Seizures'),
('neck_pain', 'Neck pain'),
('no_symptoms', '- No symptoms'),
(OTHER, '- Other, specify')
],
'ambition_ae.neurological': [
('meningism', 'Meningism'),
('papilloedema', ' Papilloedema'),
('focal_neurologic_deficit', 'Focal neurologic deficit'),
('CN_VI_palsy', 'Cranial Nerve VI palsy'),
('CN_III_palsy', 'Cranial Nerve III palsy'),
('CN_IV_palsy', 'Cranial Nerve IV palsy'),
('CN_VII_palsy', 'Cranial Nerve VII palsy'),
('CN_VIII_palsy', 'Cranial Nerve VIII palsy'),
('no_symptoms', '- No symptoms'),
(OTHER, '- Other CN palsy'),
],
}
preload_data = PreloadData(
list_data=list_data,
model_data={},
unique_field_data=None)
from edc_list_data import PreloadData
model_data = {
"edc_lab.consignee": [{
"name": "The META Trial",
"contact_name": "Sokoine Kivuyo",
"address": "NIMR Tanzania",
"postal_code": "-",
"city": "Dar es Salaam",
"state": None,
"country": "Tanzania",
"telephone": "+255763244779",
"mobile": "+255763244779",
"fax": None,
"email": "*****@*****.**",
}]
}
unique_field_data = {"edc_lab.consignee": {"name": ("-", "-")}}
preload_data = PreloadData(list_data=None,
model_data=model_data,
unique_field_data=unique_field_data)
def handle(self, *args, **kwargs):
PreloadData(list_data=list_data)
self.stdout.write(
self.style.SUCCESS(f'List data successfully loaded.'))