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chore: import upstream snapshot with attribution
2026-07-13 13:27:08 +08:00

220 lines
7.9 KiB
Python

import os
import random
import string
from datetime import datetime, timedelta
from typing import List
import pymysql
import pymysql.cursors
# At first you need to create an test database which called dbgpt_test;
# you can use next command to create.
# CREATE DATABASE IF NOT EXISTS dbgpt_test CHARACTER SET utf8;
def build_table(connection):
connection.cursor().execute(
"""CREATE TABLE user (
id INT(11) NOT NULL AUTO_INCREMENT COMMENT '用户ID',
name VARCHAR(50) NOT NULL COMMENT '用户名',
email VARCHAR(50) NOT NULL COMMENT '电子邮件',
mobile CHAR(11) NOT NULL COMMENT '手机号码',
gender VARCHAR(20) COMMENT '性别,可选值:Male, Female',
birth DATE COMMENT '出生日期',
country VARCHAR(20) COMMENT '国家',
city VARCHAR(20) COMMENT '城市',
create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (id),
UNIQUE KEY uk_email (email)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='用户信息表';"""
)
connection.cursor().execute(
"""CREATE TABLE transaction_order (
id INT(11) NOT NULL AUTO_INCREMENT COMMENT '订单ID',
order_no CHAR(20) NOT NULL COMMENT '订单编号',
product_name VARCHAR(50) NOT NULL COMMENT '产品名称',
product_category VARCHAR(20) COMMENT '产品分类',
amount DECIMAL(10, 2) NOT NULL COMMENT '订单金额',
pay_status VARCHAR(20) COMMENT '付款状态,可选值:CANCEL, REFUND, SUCCESS, FAILD',
user_id INT(11) NOT NULL COMMENT '用户ID',
user_name VARCHAR(50) COMMENT '用户名',
create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (id),
UNIQUE KEY uk_order_no (order_no),
KEY idx_user_id (user_id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='交易订单表';"""
)
def user_build(names: List, country: str, grander: str = "Male") -> List:
countries = ["China", "US", "India", "Indonesia", "Pakistan"] # 国家列表
cities = {
"China": ["Beijing", "Shanghai", "Guangzhou", "Shenzhen", "Hangzhou"],
"US": ["New York", "Los Angeles", "Chicago", "Houston", "Phoenix"],
"India": ["Mumbai", "Delhi", "Bangalore", "Hyderabad", "Chennai"],
"Indonesia": ["Jakarta", "Surabaya", "Medan", "Bandung", "Makassar"],
"Pakistan": ["Karachi", "Lahore", "Faisalabad", "Rawalpindi", "Multan"],
}
users = []
for i in range(1, len(names) + 1):
if grander == "Male":
id = int(str(countries.index(country) + 1) + "10") + i
else:
id = int(str(countries.index(country) + 1) + "20") + i
name = names[i - 1]
email = f"{name}@example.com"
mobile = "".join(random.choices(string.digits, k=10))
gender = grander
birth = f"19{random.randint(60, 99)}-{random.randint(1, 12):02d}-{random.randint(1, 28):02d}"
country = country
city = random.choice(cities[country])
now = datetime.now()
year = now.year
start = datetime(year, 1, 1)
end = datetime(year, 12, 31)
random_date = start + timedelta(days=random.randint(0, (end - start).days))
random_time = datetime.combine(random_date, datetime.min.time()) + timedelta(
seconds=random.randint(0, 24 * 60 * 60 - 1)
)
random_datetime_str = random_time.strftime("%Y-%m-%d %H:%M:%S")
create_time = random_datetime_str
users.append(
(
id,
name,
email,
mobile,
gender,
birth,
country,
city,
create_time,
create_time,
)
)
return users
def gnerate_all_users(cursor):
users = []
users_f = ["ZhangWei", "LiQiang", "ZhangSan", "LiSi"]
users.extend(user_build(users_f, "China", "Male"))
users_m = ["Hanmeimei", "LiMeiMei", "LiNa", "ZhangLi", "ZhangMing"]
users.extend(user_build(users_m, "China", "Female"))
users1_f = ["James", "John", "David", "Richard"]
users.extend(user_build(users1_f, "US", "Male"))
users1_m = ["Mary", "Patricia", "Sarah"]
users.extend(user_build(users1_m, "US", "Female"))
users2_f = ["Ravi", "Rajesh", "Ajay", "Arjun", "Sanjay"]
users.extend(user_build(users2_f, "India", "Male"))
users2_m = ["Priya", "Sushma", "Pooja", "Swati"]
users.extend(user_build(users2_m, "India", "Female"))
for user in users:
cursor.execute(
"INSERT INTO user (id, name, email, mobile, gender, birth, country, city, create_time, update_time) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)",
user,
)
return users
def gnerate_all_orders(users, cursor):
orders = []
orders_num = 200
categories = ["Clothing", "Food", "Home Appliance", "Mother and Baby", "Travel"]
categories_product = {
"Clothing": ["T-shirt", "Jeans", "Skirt", "Other"],
"Food": ["Snack", "Fruit"],
"Home Appliance": ["Refrigerator", "Television", "Air conditioner"],
"Mother and Baby": ["Diapers", "Milk Powder", "Stroller", "Toy"],
"Travel": ["Tent", "Fishing Rod", "Bike", "Rawalpindi", "Multan"],
}
for i in range(1, orders_num + 1):
id = i
order_no = "".join(random.choices(string.ascii_uppercase, k=3)) + "".join(
random.choices(string.digits, k=10)
)
product_category = random.choice(categories)
product_name = random.choice(categories_product[product_category])
amount = round(random.uniform(0, 10000), 2)
pay_status = random.choice(["SUCCESS", "FAILD", "CANCEL", "REFUND"])
user_id = random.choice(users)[0]
user_name = random.choice(users)[1]
now = datetime.now()
year = now.year
start = datetime(year, 1, 1)
end = datetime(year, 12, 31)
random_date = start + timedelta(days=random.randint(0, (end - start).days))
random_time = datetime.combine(random_date, datetime.min.time()) + timedelta(
seconds=random.randint(0, 24 * 60 * 60 - 1)
)
random_datetime_str = random_time.strftime("%Y-%m-%d %H:%M:%S")
create_time = random_datetime_str
order = (
id,
order_no,
product_category,
product_name,
amount,
pay_status,
user_id,
user_name,
create_time,
)
cursor.execute(
"INSERT INTO transaction_order (id, order_no, product_name, product_category, amount, pay_status, user_id, user_name, create_time) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)",
order,
)
if __name__ == "__main__":
connection = pymysql.connect(
host=os.getenv("DB_HOST", "127.0.0.1"),
port=int(
os.getenv("DB_PORT", 3306),
),
user=os.getenv("DB_USER", "root"),
password=os.getenv("DB_PASSWORD", "aa12345678"),
database=os.getenv("DB_DATABASE", "dbgpt_test"),
charset="utf8mb4",
ssl_ca=None,
)
build_table(connection)
connection.commit()
cursor = connection.cursor()
users = gnerate_all_users(cursor)
connection.commit()
gnerate_all_orders(users, cursor)
connection.commit()
cursor.execute("SELECT * FROM user")
data = cursor.fetchall()
print(data)
cursor.execute("SELECT count(*) FROM transaction_order")
data = cursor.fetchall()
print("orders:" + str(data))
cursor.close()
connection.close()