def next_book(authors: typing.List[Author],
data_locale: str) -> typing.Iterator[Book]:
code = mimesis.Code(data_locale)
date = mimesis.Datetime(data_locale)
text = mimesis.Text(data_locale)
book_id = 0
while True:
book_id += 1
book = Book(book_id)
book.title = text.title()
book.author = random.choice(authors)
book.isbn = code.isbn()
book.release_at = date.date(start=1800, end=2018)
yield book
def code(request):
return mimesis.Code(request.param)
def code():
return mimesis.Code()
outsize = config["products"]["total"]
# config suppliers
n_suppliers = config["suppliers"]["total"]
supplier_id_range = list(range(1, n_suppliers + 1))
# data processing config
amounts_cpu = config["data_processing"]["amount_in_cpu"]
auto_batch = True if config["data_processing"][
"auto_batch_based_in_cpu"] == "True" else False
# loading mocking data type
food = mimesis.Food(language)
person = mimesis.Person(language)
dates = mimesis.Datetime(language)
code = mimesis.Code(language)
# 5 categories
categories_prob = common_functions.random_probabilities(1, 5)
suppliers_prob = common_functions.random_probabilities(1, n_suppliers)
products = []
def generate_products(amount, index_start):
# generates products' info
# amount: number of products to generate
# index_start: from what index starts
results = set()