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generate_data.py
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generate_data.py
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import duckdb
from faker import Faker
from random import randint, random
from uuid import uuid4
fake = Faker()
customers = {
0: "Mr. Marcus Kennedy",
1: "Alexander Long",
2: "Roberto Davies",
3: "Debra Branch",
4: "Ashley Oliver",
5: "Mallory Carpenter",
6: "Richard Dixon",
7: "Matthew Schultz",
8: "Jerry Carroll",
9: "Kristin House",
}
products = {
0: "Orbital Keys",
1: "XPress Bottle",
2: "InstaPress",
3: "Uno Wear",
4: "Allure Kit",
5: "Swish Wallet",
6: "Onovo Supply",
7: "Sharpy Knife",
}
class Order:
def __init__(self) -> None:
self.datetime = fake.date_time_between(start_date="-5y", end_date="now").strftime("%Y-%m-%d %H:%M:%S")
self.id = str(uuid4())
self.customer_id = str(fake.random_choices(elements=customers.keys(), length=1)[0])
self.customer_name = customers[int(self.customer_id)]
self.product_id = str(fake.random_choices(elements=products.keys(), length=1)[0])
self.product_name = products[int(self.product_id)]
self.quantity = str(randint(1, 1000))
self.amount = str(round(random() * (10 ** randint(2, 6)), 2))
self.delivery_country = fake.country()
self.status = fake.random_choices(elements=("SUCCESS", "FAILED", "PENDING"), length=1)[0]
@classmethod
def get_columns(cls):
return "datetime,id,customer_id,customer_name,product_id,product_name,quantity,amount,delivery_country,status"
def to_csv(self) -> str:
return ",".join(
(
self.datetime,
self.id,
self.customer_id,
self.customer_name,
self.product_id,
self.product_name,
self.quantity,
self.amount,
self.delivery_country,
self.status,
)
)
def generate_dataset_orders(filename: str = "data/orders.csv", num_rows: int = 1000):
with open(filename, "w") as outfile:
outfile.write(Order.get_columns() + "\n")
for _ in range(num_rows):
order = Order()
outfile.write(order.to_csv() + "\n")
def load_file(db: str = "duck.db", infile_path: str = "data/orders.csv", table_name: str = "orders"):
with duckdb.connect(db) as conn:
conn.execute(f"CREATE OR REPLACE TABLE {table_name} as SELECT * FROM read_csv_auto('{infile_path}')")
return True