def generate_actors():
f = open("actors.csv", 'w')
person = Person()
id_PK = 1
print("Generating...")
for _ in range(2500):
# generate male
id_FK = randint(1, 1000)
f.write(str(id_PK) + ',' + str(id_FK) + ','\
+ person.full_name(gender=Gender.MALE) + ','\
+ str(person.age(minimum=18, maximum=70)) + ','\
+ 'M' + ','\
+ person.nationality() + ','\
+ str(randint(1000, 1000000)) + ','\
+ str(randint(0, 5)) + '\n')
id_PK += 1
id_FK = randint(1, 1000)
# generate female
f.write(str(id_PK) + ','+ str(id_FK) + ','\
+ person.full_name(gender=Gender.FEMALE) + ','\
+ str(person.age(minimum=18, maximum=70)) + ','\
+ 'F' + ','\
+ person.nationality() + ','\
+ str(randint(1000, 1000000)) + ','\
+ str(randint(0, 5)) + '\n')
id_PK += 1
f.close()
print("DONE")
def create_human(n): # function of creating new client
if n == 1:
person = Person('ru')
else:
person = Person('en')
# Выводим исландские мужские имена.
client_info = generate_id_passport()
print('\nфамилия:\t', person.last_name())
print('имя:\t\t', person.name())
print('отчество:\t', person.surname(), '\n')
passport = generate_number_passport()
print('личный №:\t', client_info.get('idn'))
print('документ:\t', passport)
print('пол:\t\t', client_info.get('sex'))
print('возраст:\t', person.age(13, 70), '\n')
# print('аватар\t', person.avatar())
print('гражд-во:\t', person.get_current_locale())
print('Нац-сть:\t', person.nationality())
print('телефон:\t', person.telephone('+37529#######'))
print('email:\t\t', '*****@*****.**')
# print('email:\t\t', person.email())
print('проф-ия:\t', person.occupation(), '\n')
print('обращение:\t', person.title())
print('взгляды:\t', person.views_on())
print('вера:\t\t', person.worldview(), '\n')
def create_human(n):
"""
:param n: язык генерации данных
:return: сгенерированные фейковые данные
"""
log.info("Генерируем тестовые данные")
if n == 1:
person = Person('ru')
else:
person = Person('en')
log.info("person: " + str(person))
client_info = generate_id_passport()
print('\nфамилия:\t', person.last_name())
print('имя:\t\t', person.name())
print('отчество:\t', person.surname(), '\n')
passport = generate_number_passport()
print('личный №:\t', client_info.get('idn'))
print('документ:\t', passport)
print('пол:\t\t', client_info.get('sex'))
print('возраст:\t', person.age(13, 70), '\n')
# print('аватар\t', person.avatar())
print('гражд-во:\t', person.get_current_locale())
print('Нац-сть:\t',person.nationality())
print('телефон:\t', person.telephone('+37529#######'))
print('email:\t\t', person.email())
print('проф-ия:\t', person.occupation(), '\n')
print('обращение:\t', person.title())
print('взгляды:\t', person.views_on())
print('вера:\t\t', person.worldview(), '\n')
def generate_student() -> dict:
"""Generate a student record."""
person = Person()
student = {
"academic_degree": person.academic_degree(),
"age": person.age(),
"full_name": person.full_name(),
"gender": person.gender(),
"nationality": person.nationality(),
"university": person.university(),
}
return student
def generate_random_data():
p = Person()
a = Address()
return {
"name": p.full_name(),
"email": p.email(),
"nationality": p.nationality(),
"occupation": p.occupation(),
"password": p.password(),
"phone": p.telephone(),
"address": a.address(),
"city": a.city(),
"street_no": a.street_number(),
"created": Datetime().date().isoformat(),
}
#!/usr/bin/env python3
# -*- conding:utf8 -*-
from mimesis import Person, Address, Business, Payment, Text, Food
from mimesis.enums import Gender
print('#' * 5 + '个人信息' + '#' * 5)
person = Person('zh')
# 可以传递性别给full_name()
print(person.full_name(Gender.MALE))
print(person.level_of_english())
print(person.nationality())
print(person.work_experience())
print(person.political_views())
print(person.worldview())
# 自定义名字pattern
templates = ['l-d', 'U-d']
for item in templates:
print(person.username(template=item))
print('\n')
print('#' * 5 + '地址' + '#' * 5)
address = Address('zh')
print(address.coordinates())
print(address.city())
print('\n')
print('#' * 5 + '地址' + '#' * 5)
business = Business('zh')
def person(
cls,
*,
locale=Locales.EN,
qualification=None,
age=None,
blood_type=None,
email=None,
first_name=None,
last_name=None,
gender=None,
height=None,
id=None,
language=None,
nationality=None,
occupation=None,
phone=None,
title=None,
university=None,
weight=None,
work_experience=None,
):
'''
Create an Person Data Entity object.
All individual fields are automatically randomly generated based on locale. If provided, the corresponding values are overriden.
Note:
All individual fields are randomly generated. Don't expect correct correlation e.g. correct postal code for the generated city.
Keyword Arguments:
locale: Approprite Random.locale.<local_name> object. Default is Random.locale.EN
qualification: Educational Qualification
age: Age
blood_type: Blood type
email: Email address
first_name: First name
last_name: Last name
gender: Gender
height: Height
id: Identifier
language: Language
nationality: Nationality
occupation: Occupation
phone: Phone number
title: Title
university: University
weight: Weight
work_experience: Work Experience
'''
person = Person(locale=locale)
from arjuna.engine.data.entity.person import Person as ArjPerson
first_name = first_name is not None and first_name or person.first_name(
)
last_name = last_name is not None and last_name or person.last_name()
return ArjPerson(
qualification=qualification is not None and qualification
or person.academic_degree(),
age=age is not None and age or person.age(),
blood_type=blood_type is not None and blood_type
or person.blood_type(),
email=email is not None and email or person.email(),
first_name=first_name,
last_name=last_name,
name=first_name + " " + last_name,
gender=gender is not None and gender or person.gender(),
height=height is not None and height or person.height(),
id=id is not None and id or person.identifier(),
language=language is not None and language or person.language(),
nationality=nationality is not None and nationality
or person.nationality(),
occupation=occupation is not None and occupation
or person.occupation(),
phone=phone is not None and phone or person.telephone(),
title=title is not None and title or person.title(),
university=university is not None and university
or person.university(),
weight=weight is not None and weight or person.weight(),
work_experience=work_experience is not None and work_experience
or person.work_experience(),
)