def generate_random_data(count): db = flask_sqlalchemy.get_state(current_app).db User.query.delete(synchronize_session='evaluate') for x in range(count): p = Person(locales.EN) date_created = datetime.datetime.now() - datetime.timedelta( days=p.work_experience() * 365) user = User(email=p.email(), password="******", date_created=date_created) user.set_password(user.password) db.session.add(user) print_progress_bar(x + 1, count, prefix='Progress:', suffix='Complete', length=50) if x % 10 == 0: db.session.commit() db.session.commit()
#!/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(), )