377 lines
8.6 KiB
Python
377 lines
8.6 KiB
Python
from faker import Faker
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import random
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from datetime import datetime
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# 初始化Faker生成器（简体中文）
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fake = Faker("zh_CN")
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# 定义固定值
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TEAM_ID = 106
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PLAN_ID = 131
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# 常见民族列表
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ETHNIC_GROUPS = [
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"汉",
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"壮",
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"满",
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"回",
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"苗",
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"维吾尔",
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"土家",
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"彝",
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"蒙古",
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"藏",
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"布依",
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"侗",
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"瑶",
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"朝鲜",
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"白",
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"哈尼",
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"哈萨克",
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"黎",
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"傣",
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"畲",
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"傈僳",
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"仡佬",
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"东乡",
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"高山",
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"拉祜",
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"水",
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"佤",
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"纳西",
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"羌",
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"土",
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"仫佬",
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"锡伯",
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"柯尔克孜",
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"达斡尔",
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"景颇",
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"毛南",
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"撒拉",
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"布朗",
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"塔吉克",
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"阿昌",
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"普米",
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"鄂温克",
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"怒",
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"京",
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"基诺",
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"德昂",
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"保安",
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"俄罗斯",
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"裕固",
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"乌兹别克",
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"门巴",
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"鄂伦春",
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"独龙",
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"塔塔尔",
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"赫哲",
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"珞巴",
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]
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# 疾病列表（健康状态）
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HEALTH_CONDITIONS = [
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"无",
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"近视",
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"弱视",
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"鼻炎",
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"哮喘",
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"过敏体质",
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"蛀牙",
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"肥胖",
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"发育迟缓",
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"ADHD",
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"缺铁性贫血",
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"维生素缺乏",
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"易感冒体质",
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"偏瘦",
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"过敏(花粉)",
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"过敏(尘螨)",
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"过敏(牛奶)",
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"消化不良",
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"多动症",
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"抽动症",
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"癫痫",
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"小儿麻痹",
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"乙肝病毒携带",
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]
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# 艺术特长
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ART_TALENTS = [
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"无",
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"钢琴",
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"小提琴",
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"绘画",
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"书法",
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"舞蹈",
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"声乐",
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"戏剧表演",
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"摄影",
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"编程",
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"动画制作",
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"模型制作",
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"手工艺术",
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]
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# 体育特长
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SPORTS_TALENTS = [
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"无",
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"游泳",
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"篮球",
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"足球",
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"乒乓球",
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"羽毛球",
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"田径",
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"武术",
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"跆拳道",
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"空手道",
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"轮滑",
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"滑板",
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"自行车",
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"健美操",
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]
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# 科技特长
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TECH_TALENTS = [
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"无",
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"机器人编程",
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"电子制作",
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"3D打印",
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"人工智能",
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"网页设计",
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"科学实验",
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"天文观测",
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"植物培养",
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"动物观察",
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"航模制作",
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]
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# 职业列表
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OCCUPATIONS = [
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"医生",
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"教师",
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"工程师",
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"程序员",
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"设计师",
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"建筑师",
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"销售经理",
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"会计",
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"律师",
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"公务员",
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"记者",
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"警察",
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"消防员",
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"厨师",
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"商人",
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"自由职业",
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"个体经营者",
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"银行职员",
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"人力资源",
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"市场营销",
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]
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# 公司类型
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WORKPLACES = [
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"国有企业",
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"民营企业",
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"外资企业",
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"合资企业",
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"政府机关",
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"事业单位",
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"学校",
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"医院",
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"设计事务所",
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"律师事务所",
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"科技公司",
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"互联网公司",
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"金融机构",
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"建筑公司",
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"零售企业",
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]
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# 小学名称
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PRIMARY_SCHOOLS = [
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"第一实验小学",
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"第二实验小学",
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"育才小学",
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"阳光小学",
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"希望小学",
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"和平小学",
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"实验小学分校",
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"新世纪小学",
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"东方小学",
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"先锋小学",
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"星光小学",
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"明德小学",
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]
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def generate_id_num(birthday):
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"""生成符合规则的身份证号"""
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# 生成前6位（地区码，使用真实的地区码）
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region_codes = [
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"110101",
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"110105",
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"110106",
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"110107",
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"310112",
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"330102",
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"440106",
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"440304",
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]
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# 出生日期码（8位）
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birth_code = birthday.replace("-", "")
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# 顺序码（3位）
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sequence_code = str(random.randint(101, 998))
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# 生成校验码（1位）
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base = (
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region_codes[random.randint(0, len(region_codes) - 1)]
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+ birth_code
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+ sequence_code
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)
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weight = [7, 9, 10, 5, 8, 4, 2, 1, 6, 3, 7, 9, 10, 5, 8, 4, 2]
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checksum_map = {
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0: "1",
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1: "0",
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2: "X",
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3: "9",
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4: "8",
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5: "7",
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6: "6",
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7: "5",
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8: "4",
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9: "3",
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10: "2",
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}
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total = 0
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for i in range(17):
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total += int(base[i]) * weight[i]
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checksum = checksum_map[total % 11]
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return base + checksum
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def generate_student_data():
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"""生成单个学生数据"""
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# 基础信息
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sex = random.choice(["男", "女"])
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# 生日 (2010-2015年出生)
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birthday = fake.date_between(start_date="-15y", end_date="-8y").strftime("%Y-%m-%d")
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# 生成符合规则的身份证号
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id_num = generate_id_num(birthday)
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# 计算年龄（仅用于展示）
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birth_year = int(birthday[:4])
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current_year = datetime.now().year
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age = current_year - birth_year
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# 生成学生信息
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data = {
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"teamId": TEAM_ID,
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"stuName": fake.name(), # 学生姓名
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"idNum": id_num, # 身份证号
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"formerName": random.choices(
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["无", fake.last_name() + fake.first_name()], weights=[0.8, 0.2]
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)[
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0
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], # 曾用名
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"sex": sex, # 性别
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"nation": random.choice(ETHNIC_GROUPS), # 民族
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"birthday": birthday, # 生日
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"finishSchool": random.choice(PRIMARY_SCHOOLS), # 毕业学校
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"file": None, # 文件
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"hkadr": fake.province()
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+ "/"
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+ fake.city()
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+ "/"
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+ fake.district(), # 户口所在地
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"homeAddress": fake.address(), # 家庭住址
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"health": random.choice(HEALTH_CONDITIONS), # 健康状况
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"artisticSpecialty": random.choice(ART_TALENTS), # 艺术特长
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"artisticAchievements": "无", # 艺术成就
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"technologicalSpecialty": random.choice(TECH_TALENTS), # 科技特长
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"technologicalAchievements": "无", # 科技成就
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"sportsSpecialty": random.choice(SPORTS_TALENTS), # 体育特长
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"sportsAchievements": "无", # 体育成就
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"planId": PLAN_ID, # 计划ID
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"imageUrl": "", # 图片URL
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"schoolCode": "G" + id_num[:-1], # 学籍号
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"age": age, # 年龄（仅用于展示）
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"email": fake.email() if random.random() > 0.7 else "", # 邮箱
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"height": str(random.randint(130, 170)), # 身高
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"weight": str(random.randint(25, 60)), # 体重
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"measurements": f"{random.randint(60, 90)},{random.randint(60, 90)},{random.randint(60, 90)}", # 三围
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}
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# 生成监护人信息
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guardian_prefix = fake.last_name()
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# 监护人1 - 通常为父母之一
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relationship_choices = ["父亲", "母亲", "爷爷", "奶奶", "外公", "外婆"]
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relationship = random.choice(relationship_choices[:2]) # 主要选择父母
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data.update(
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{
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"guardian1Name": guardian_prefix
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+ ("先生" if relationship == "父亲" else "女士"), # 监护人1姓名
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"guardian1Relationship": relationship, # 关系
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"guardian1IdCardNumber": generate_id_num(
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fake.date_between(start_date="-55y", end_date="-25y").strftime(
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"%Y-%m-%d"
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)
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), # 身份证号
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"guardian1Contact": fake.phone_number(), # 联系方式
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"guardian1Occupation": random.choice(OCCUPATIONS), # 职业
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"guardian1Workplace": random.choice(WORKPLACES), # 工作单位
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}
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)
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# 监护人2 - 可能是另一位家长或其他人
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if relationship == "父亲":
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guardian2_relationship = "母亲"
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else:
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guardian2_relationship = random.choices(
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["父亲", "爷爷", "奶奶", "外公", "外婆", "其他亲属"],
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weights=[0.7, 0.1, 0.1, 0.05, 0.05, 0.1],
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)[0]
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data.update(
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{
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"guardian2Name": guardian_prefix
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+ (
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"先生" if guardian2_relationship in ["父亲", "爷爷", "外公"] else "女士"
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), # 监护人2姓名
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"guardian2Relationship": guardian2_relationship, # 关系
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"guardian2IdCardNumber": generate_id_num(
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fake.date_between(start_date="-55y", end_date="-25y").strftime(
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"%Y-%m-%d"
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)
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), # 身份证号
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"guardian2Contact": (
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fake.phone_number() if guardian2_relationship != "无" else ""
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), # 联系方式
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"guardian2Occupation": (
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random.choice(OCCUPATIONS) if guardian2_relationship != "无" else ""
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), # 职业
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"guardian2Workplace": (
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random.choice(WORKPLACES) if guardian2_relationship != "无" else ""
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), # 工作单位
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}
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)
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return data
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def generate_students():
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student = generate_student_data()
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return student
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generate_students()
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