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 handle(self, *args, **options):
UserProfile.objects.all().delete()
Author.objects.all().delete()
person = Person('en')
for _ in range(COUNT_ELEM):
first_name = person.first_name()
last_name = person.last_name()
login = f'{first_name}.{last_name}'
email = person.email()
birthday_year = datetime.today().year - person.age(minimum=14,
maximum=100)
print(f'Created:{login} - {email}')
user = {
"user_name": login,
"first_name": first_name,
"last_name": last_name,
"gender": person.sex('M', 'F'),
"birthday_year": birthday_year,
"email": email
}
author = {
"first_name": first_name,
"last_name": last_name,
"birthday_year": birthday_year,
}
new_user = UserProfile(**user)
new_user.save()
new_author = Author(**author)
new_author.save()
User.objects.all().delete()
User.objects.create_superuser('admin', 'admin@localhost', 'admin')
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 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 createPlayers(team):
person = Person("en")
adress = Address("en")
players = []
MAX_N = len(team)
arrOfIds = [i + 1 for i in range(MAX_N)]
for i in range(MAX_N):
positions = [1, 2, 3, 4, 5]
numbers = [k for k in range(1, 99, 1)]
curTeamID = choice(arrOfIds)
arrOfIds.remove(curTeamID)
for _ in range(len(positions)):
curID = str(len(players) + 1)
teamID = str(curTeamID)
name = person.full_name()
position = choice(positions)
height = str(randint(150, 220))
weight = str(person.weight())
number = str(choice(numbers))
age = str(person.age())
country = adress.country(allow_random=True)
positions.remove(position)
numbers.remove(int(number))
players.append([curID, teamID, name, position, height, weight, number, age, country])
f = open("Players.csv", "w", encoding='utf-8')
for player in players:
line = str(player[0]) + ',' + str(player[1]) + ',' + str(player[2]) + ',' +\
str(player[3]) + ',' + str(player[4]) + ',' + str(player[5]) + ',' +\
str(player[6]) + ',' + str(player[7]) + ',' + str(player[8]) + '\n'
f.write(line)
f.close()
def seedDatabase(rows):
person = Person('en')
for _ in range(0, int(rows)):
first_name = person.first_name()
age = person.age()
new_user = User(first_name=first_name, age=age)
Db.session.add(new_user)
Db.session.commit()
return redirect(url_for('index'))
def create_personalData(): # function of generate new client data
passport = ''
person = Person('ru')
# Выводим исландские мужские имена.
lastname = person.last_name()
personalData['lastname'] = lastname
# print('\nфамилия:\t', personalData['lastname'])
name = person.name()
personalData['name'] = name
# print('имя:\t\t', personalData['name'])
surname = person.surname()
personalData['surname'] = surname
# print('отчество:\t', personalData['surname'])
gender = person.gender()
personalData['gender'] = gender
# print('пол:\t\t', personalData['gender'])
for _ in range(2):
varLet = random.choice(string.ascii_uppercase)
passport += varLet
passport += person.telephone('#######')
personalData['passport'] = passport
# print('паспорт:\t', personalData['passport'])
### birthday
currentDate()
personalData['age'] = age
personalData['age'][2] = str(
int(personalData['age'][2]) - person.age(16, 70))
# print('возраст:\t', personalData['age'], '\n')
###
# print('гражд-во:\t', person.get_current_locale())
# print('Нац-сть:\t',person.nationality())
### mobile
mobile = person.telephone('+37529#######')
personalData['mobile'] = mobile
# print('телефон:\t', personalData['mobile'])
###
### email
# personalData['email'] = person.email()
# print('email:\t\t', personalData['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')
return personalData
def gen_data_simple_schema(self, data_path, partition_date, num_rows,
file_format):
"""
Input
- data_path: path where the partition will be created (string)
- partition_date: partition date to be created (date)
- num_rows: number of rows to be generated (integer)
- file_format: format of file to be generated (parquet or avro)
This function creates a data sample with a simple schema
"""
person = Person('en')
# Create a simple schema
schema_df = StructType([
StructField('identifier', StringType(), True),
StructField('first_name', StringType(), True),
StructField('last_name', StringType(), True),
StructField('occupation', StringType(), True),
StructField('age', IntegerType(), True),
StructField('date', DateType(), True)
])
# generate data
for _ in range(num_rows):
df_temp = self.spark.createDataFrame([[
person.identifier(),
person.first_name(),
person.last_name(),
person.occupation(),
person.age(), partition_date
]], schema_df)
try:
df = df.union(df_temp)
except:
df = df_temp
df.coalesce(1).write.partitionBy('date').mode('overwrite').format(
file_format).save(data_path)
print('Partition created: {data_path}/date={date}'.format(
data_path=data_path, date=partition_date))
print('# Rows:', df.count())
print('Schema:')
df.printSchema()
print('\n')
return
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_directors():
f = open("directors.csv", 'w')
person = Person()
ID = 1
for _ in range(500):
# generate male
f.write(str(ID) + ','\
+ person.full_name(gender=Gender.MALE) + ','\
+ str(person.age(minimum=24, maximum=70)) + ','\
+ 'M' + ','\
+ str(randint(1, 9)) + '\n')
ID += 1
# generate female
f.write(str(ID) + ','\
+ person.full_name(gender=Gender.FEMALE) + ','\
+ str(person.age(minimum=24, maximum=70)) + ','\
+ 'F' + ','\
+ str(randint(1, 9)) + '\n')
ID += 1
f.close()
def make_full_name(self, loc, value):
global sex
per = Person(loc)
rsp = RussiaSpecProvider()
if value == 'male':
sex = Gender.MALE
elif value == 'famale':
sex = Gender.FEMALE
name = per.name(sex)
surname = per.surname(sex)
patron = rsp.patronymic(sex)
age = per.age(16, 66)
occup = per.occupation()
return name, surname, patron, age, occup
def get_user(number):
"""
Creates random user data
:param number: number of users
:return: user data list
"""
data = []
for i in range(number):
user_gender = random.sample([Gender.MALE, Gender.FEMALE], 1)[0]
person = Person('ru')
data.append(
OrderedDict(first_name=person.first_name(gender=user_gender),
last_name=person.last_name(gender=user_gender),
age=person.age(minimum=18, maximum=66),
email=person.email(domains=('yandex.ru', 'gmail.com')),
username=person.username(template='UU_d')))
return data
def update():
db.users.remove({})
db.goods.remove({})
users, goods = [], []
for _ in range(30):
person = Person(locales.ZH)
user = {
"name": person.name(),
"age": person.age(),
"sex": choice(["boy", "girl"]),
"mobile": person.telephone(),
"wechat": person.email(),
"status": choice(["normal", "in_debt"]),
"isVip": Development().boolean(),
}
users.append(user)
db.users.insert_many(users)
""")
conn.commit()
for i in range(20):
#idd = g.code.imei()
idd = n
gender = random.choice(gen)
if gender == 'Женский':
first_name = p.first_name(gender=Gender.FEMALE)
last_name = p.last_name(gender=Gender.FEMALE)
#self.patron = rus.patronymic(gender = Gender.FEMALE)
elif gender == 'Мужской':
first_name = p.first_name(gender=Gender.MALE)
last_name = p.last_name(gender=Gender.MALE)
#self.patron = rus.patronymic(gender = Gender.MALE)
age = p.age(minimum=18, maximum=70)
month_ob = dt.month()
day_ob = dt.day_of_month()
year_ob = 2020 - age
city_ob = adr.city()
city = adr.city()
address = adr.address()
phone = p.telephone(mask='+7(###)-###-####')
email = p.email(domains=['mimesis.name'])
user = (int(idd), str(gender), str(first_name), str(last_name), str(age),
str(month_ob), str(day_ob), str(year_ob), str(city_ob), str(city),
str(address), str(phone), str(email))
cur.execute(
"INSERT INTO people VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?);",
def gen_data_remove_column(self, data_path, partition_date, num_rows,
file_format):
"""
Input
- data_path: path where the partition will be created (string)
- partition_date: partition date to be created (date)
- num_rows: number of rows to be generated (integer)
- file_format: format of file to be generated (parquet or avro)
This function creates a data sample removing some columns
"""
person = Person('en')
address = Address('en')
schema_street = StructType([
StructField('street_name', StringType(), True)
# StructField('lat', FloatType(), True), #column removed
# StructField('long', FloatType(), True) #column removed
])
schema_address_details = StructType([
StructField('street', schema_street, True),
StructField('number', IntegerType(), True)
])
schema_address = StructType([
StructField('address_details', schema_address_details, True),
StructField('city', StringType(), True),
StructField('country', StringType(), True),
# StructField('country_code', StringType(), True), #column removed
StructField('state', StringType(), True),
StructField('postal_code', IntegerType(), True)
])
schema_df = StructType([
StructField('identifier', StringType(), True),
StructField('first_name', StringType(), True),
StructField('last_name', StringType(), True),
StructField('occupation', StringType(), True),
StructField('age', IntegerType(), True),
StructField('address', schema_address, True),
# StructField('title_name', StringType(), True), #column removed
StructField('date', DateType(), True)
])
for _ in range(num_rows):
df_temp = self.spark.createDataFrame(
[[
person.identifier(),
person.first_name(),
person.last_name(),
person.occupation(),
person.age(),
[
[
[
address.street_name()
#float(address.latitude()),
#float(address.longitude())
],
int(address.street_number())
],
address.city(),
address.country(),
#address.country_code(),
address.state(),
int(address.postal_code())
],
#person.title(),
partition_date
]],
schema_df)
try:
df = df.union(df_temp)
except:
df = df_temp
df.coalesce(1).write.partitionBy('date').mode('overwrite').format(
file_format).save(data_path)
print('Partition created: {data_path}/date={date}'.format(
data_path=data_path, date=partition_date))
print('# Rows:', df.count())
print('Schema:')
df.printSchema()
print('\n')
return
from mimesis import Person
Person = Person('de')
print(Person.email())
print(Person.telephone())
print(Person.age())
from collections import OrderedDict
from csv import DictWriter
import os
from mimesis import Person
COUNT = 100
LOCAL = 'en-gb'
HERE = os.path.dirname(__file__)
person = Person(LOCAL)
records = []
for _ in range(COUNT):
record = OrderedDict(
name=person.full_name(),
email=person.email(),
age=person.age(minimum=18, maximum=45),
height=person.height(),
blood_type=person.blood_type()
)
records.append(record)
with open(os.path.join(HERE, './fakedata.csv'), 'w') as f:
writer = DictWriter(f, fieldnames=records[0].keys())
writer.writeheader()
writer.writerows(records)
#!/usr/bin/env python3
# -*- conding:utf8 -*-
from mimesis import Person
person_en = Person('en')
print(person_en.full_name())
print(person_en.age())
print(person_en.favorite_movie())
print('*' * 20)
person_zh = Person('zh')
print(person_zh.full_name())
print(person_zh.age())
print(person_zh.favorite_movie())
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(),
)
return 0.01*pow(np.abs(df[age] - 30), 2.5) + df[age] + 50*df[marketing_level]*gated_age + 2*df[account_balance] + noise
##################################################
##################################################
### Generate a DataFrame of user information
##################################################
# Generate 10,000 rows of the following:
# user_id, first_name, last_name, email, password, address,
# birth_date, credit_card_num, credit_card_exp, security_answer,
# account_balance
user_df = pd.DataFrame([[x, person.name(), person.surname(), person.gender(),
person.email(), hashed_passwd(person.password()),
address.address(), person.age(),
payment.credit_card_number(),
payment.credit_card_expiration_date(), text.word(),
account_balance(), np.random.randint(1, 11)]
for x in range(10000)])
user_df.columns = ["user_id", "first_name", "last_name",
"gender", "email", "password_hashed", "address",
"age", "credit_card_num", "credit_card_exp",
"security_answer", "account_balance",
"marketing_level"]
# Generate sales, based on a noisy linear model
user_df['sales'] = generate_sales(user_df)
user_df['sales'] = user_df['sales'] - user_df['sales'].min()
user_df['sales'] /= 40
### Generate a DataFrame of user information
##################################################
# Generate 10,000 rows of the following:
# user_id, first_name, last_name, email, password, address,
# birth_date, credit_card_num, credit_card_exp, security_answer,
# account_balance
user_df = pd.DataFrame([[
x,
person.name(),
person.surname(),
person.gender(),
person.email(),
hashed_passwd(person.password()),
address.address(),
person.age(),
payment.credit_card_number(),
payment.credit_card_expiration_date(),
text.word(),
account_balance(),
np.random.randint(1, 11)
] for x in range(10000)])
user_df.columns = [
"user_id", "first_name", "last_name", "gender", "email", "password_hashed",
"address", "age", "credit_card_num", "credit_card_exp", "security_answer",
"account_balance", "marketing_level"
]
# Generate sales, based on a noisy linear model
user_df['sales'] = generate_sales(user_df)
# -*- encoding : utf-8 -*- """ @File : __init__.py.py @Time :2021/3/29 18:46 @Author :kuang congxian @Contact :[email protected] @Description : null """ from mimesis import Person from pprint import pprint person = Person("zh") pprint("{}[age:{}, sex:{}, university:{}]".format(person.name(), person.age(), person.sex(), person.university()))