def create_hospitalisations(patient, facility, n):
for _ in range(n):
hospitalisation = Hospitalisation()
hospitalisation.patient = patient
hospitalisation.facility = facility
hospitalisation.date_of_admission = random_date(date(2000, 1, 1), date.today())
hospitalisation.date_of_discharge = random_date(hospitalisation.date_of_admission, date.today())
hospitalisation.reason_for_admission = 'Test'
db.session.add(hospitalisation)
def f(patient, facility, n):
for _ in range(n):
dialysis = Dialysis()
dialysis.patient = patient
dialysis.facility = facility
dialysis.from_date = random_date(date(2000, 1, 1), date.today())
if random.random() > 0.5:
dialysis.to_date = random_date(dialysis.from_date, date.today())
dialysis.dialysis_type = random.choice(dialysis_types)
db.session.add(dialysis)
def f(patient, facility, n):
for _ in range(n):
plasmapheresis = Plasmapheresis()
plasmapheresis.patient = patient
plasmapheresis.facility = facility
plasmapheresis.from_date = random_date(date(2000, 1, 1), date.today())
if random.random() > 0.5:
plasmapheresis.to_date = random_date(plasmapheresis.from_date, date.today())
plasmapheresis.no_of_exchanges = random.randint(1, 10)
plasmapheresis.response = random.choice(plasmapheresis_responses)
db.session.add(plasmapheresis)
def create_renal_imaging(patient, facility, n):
for _ in range(n):
renal_imaging = RenalImaging()
renal_imaging.patient = patient
renal_imaging.facility = facility
renal_imaging.date = random_date(date(2000, 1, 1), date.today())
renal_imaging.imaging_type = random.choice(['USS', 'CT', 'MRI'])
renal_imaging.right_present = random_bool()
renal_imaging.left_present = random_bool()
if renal_imaging.right_present:
renal_imaging.right_type = random.choice(['transplant', 'natural'])
renal_imaging.right_length = random.randint(11, 14)
renal_imaging.right_cysts = random_bool()
renal_imaging.right_calcification = random_bool()
if renal_imaging.right_calcification:
renal_imaging.right_nephrocalcinosis = random_bool()
renal_imaging.right_nephrolithiasis = random_bool()
if renal_imaging.left_present:
renal_imaging.left_type = random.choice(['transplant', 'natural'])
renal_imaging.left_length = random.randint(11, 14)
renal_imaging.left_cysts = random_bool()
renal_imaging.left_calcification = random_bool()
if renal_imaging.left_calcification:
renal_imaging.left_nephrocalcinosis = random_bool()
renal_imaging.left_nephrolithiasis = random_bool()
db.session.add(renal_imaging)
def f(patient, facility, n):
for _ in range(n):
transplant = Transplant()
transplant.patient = patient
transplant.facility = facility
transplant.transplant_date = random_date(date(2000, 1, 1), date.today())
transplant.transplant_type = random.choice(transplant_types)
transplant.recurred = random_bool()
if transplant.recurred:
transplant.date_recurred = random_date(transplant.transplant_date, date.today())
if random.random() > 0.75:
transplant.date_failed = random_date(transplant.transplant_date, date.today())
db.session.add(transplant)
def f(patient, facility, n):
for _ in range(n):
medication = Medication()
medication.patient = patient
medication.facility = facility
medication.from_date = random_date(date(2000, 1, 1), date.today())
if random.random() > 0.5:
medication.to_date = random_date(medication.from_date, date.today())
medication.name = random.choice(MEDICATION_NAMES)
medication.dose_quantity = random.randint(1, 10)
medication.dose_unit = random.choice(medication_dose_units)
medication.frequency = random.choice(medication_frequencies)
medication.route = random.choice(medication_routes)
db.session.add(medication)
def create_posts(n):
for x in range(n):
d = random_date(date(2008, 1, 1), date.today())
post = Post()
post.title = '%s Newsletter' % d.strftime('%b %Y')
post.body = generate_lorem_ipsum(n=3, html=False)
post.published = d
db.session.add(post)
def create_patients(n):
# TODO create data for remote facilities
radar_facility = get_radar_facility()
unit_facilities = Facility.query\
.join(Facility.unit)\
.filter(Facility.is_internal)\
.all()
disease_groups = DiseaseGroup.query.all()
result_group_definitions = ResultGroupDefinition.query.all()
create_dialysis = create_dialysis_f()
create_medications = create_medications_f()
create_transplants = create_transplants_f()
create_plasmapheresis = create_plasmapheresis_f()
for _ in range(n):
patient = Patient()
patient.recruited_date = random_date(date(2008, 1, 1), date.today())
db.session.add(patient)
gender = generate_gender()
create_demographics(patient, radar_facility, gender)
for facility in random.sample(unit_facilities, random.randint(1, 3)):
unit_patient = UnitPatient(unit=facility.unit, patient=patient)
unit_patient.created_date = random_date(patient.recruited_date, date.today())
db.session.add(unit_patient)
create_demographics(patient, facility, gender)
create_result_groups(patient, facility, result_group_definitions, 10)
create_dialysis(patient, facility, 5)
create_medications(patient, facility, 5)
create_transplants(patient, facility, 3)
create_hospitalisations(patient, facility, 3)
create_plasmapheresis(patient, facility, 3)
create_renal_imaging(patient, facility, 3)
disease_group = random.choice(disease_groups)
disease_group_patient = DiseaseGroupPatient(disease_group=disease_group, patient=patient)
disease_group_patient.created_date = random_date(patient.recruited_date, date.today())
db.session.add(disease_group_patient)