def createManufacturerData(numberValues, lastIndex):
valuesList = list()
phonePattern = re.compile(r'^\D*(\d{3})\D*(\d{3})\D*(\d{4})\D*(\d*)$')
for i in range(numberValues):
address = barnum.create_city_state_zip()
phone = phonePattern.search(barnum.create_phone()).groups()
# Create list with all the values for the MANUFACTURER table
valuesList.append([
lastIndex + i, # MAN_CODE attribute
barnum.create_company_name(), # MAN_COMPANY
barnum.create_street(), # MAN_STREET
address[1], # MAN_CITY
address[2], # MAN_STATE
int(address[0]), # MAN_ZIP
int(phone[0]), # MAN_AREACODE
phone[1] + "-" + phone[2], # MAN_PHONE
((barnum.create_cc_number())[1])[0] # MAN_ACCNUM
])
return valuesList
def generate():
record_list = []
meter_list = load_db()
if len(meter_list) == 0:
print('ERROR - empty file!!!!!!!')
else:
for meter in meter_list:
# Fullname
name_tuple = barnum.create_name()
fullname = name_tuple[0] + ' ' + name_tuple[1]
# Zip, city, state
zip_tuple = barnum.create_city_state_zip()
zipcode = zip_tuple[0]
city = zip_tuple[1]
state = zip_tuple[2]
# House no. and street
street = barnum.create_street()
# Phone no.
phone = barnum.create_phone()
# create and print cis data record
cis_data_row = [
str(uuid.uuid4()), fullname, zipcode, city, state, street,
phone, meter
]
print(cis_data_row)
record_list.append(cis_data_row)
write('cis_data.csv', record_list)
if rlocation.address[-3:] == "USA":
break
print ': %s, %s, %s' % (zipcode, city, state)
print ': %s' % rlocation
print "."
if location != None:
name = barnum.create_name()
now = datetime.utcnow()
then = now - timedelta(2 * 365)
when = random_date(then, now)
birthday = barnum.create_birthday()
document = {
"_id": create_object_id(when),
"Name": ' '.join(name),
"Address": {
"Street": barnum.create_street(),
"City": city,
"State": state,
"Zip": zipcode,
"Location": {
"type":
"Point",
"coordinates": [
location.longitude + offset(),
location.latitude + offset()
]
}
},
"DOB": {
"Date": birthday.strftime("%B %d, %Y"),
"Day": birthday.strftime("%A")
def generate_address():
street = barnum.create_street()
zip, city, state = barnum.create_city_state_zip()
return street, city, state, zip
print("Seleccione una opción:")
print("1. Generar archivo json")
print("2. insertar en base de datos mongo")
option = int(input("Opción: "))
for ehr in range(n_health_records):
patient_history = {}
if option == 1:
patient_history["_id"] = {"$oid":str(ObjectId())}
patient_history["nombre"] = process_data(names.get_first_name(), option)
patient_history["apellidos"] = process_data(names.get_last_name() + " " + names.get_last_name(), option)
patient_history["rut"] = str( random.randint(11111111,99999999) ) + '-' + str( random.randint(1,9) )
patient_history["direccion"] = process_data(barnum.create_street(), option)
patient_history["fecha_nacimiento"] = process_data(randomDate(), option)
patient_history["ciudad"] = process_data(random.choice(constant.CITIES), option)
patient_history["es_atendido_ahora"] = False
patient_history["activo"] = True
"""
if option == 1:
patient_history["profesionales_que_atendieron"] = random.sample(constant.HC_PROFESSIONAL_ID, random.randint(1,len(constant.HC_PROFESSIONAL_ID)))#len(constant.HC_PROFESSIONAL_ID)
n_sessions = len(patient_history["profesionales_que_atendieron"])
if option == 2:
patient_history["profesionales_que_atendieron"] = [{"user_id":random.choice([117, 118]), "fecha":"07/02/2021"}]
n_sessions = random.randint(1,15)
"""
n_sessions = random.randint(1,15)
patient_history["sesiones_medica"] = []