2026-09-23 01:03:00 +08:00
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"""
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种子数据初始化模块
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在 main.py 启动时自动调用,向数据库注入测试数据
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幂等设计:已存在数据则跳过,不重复插入
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"""
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from datetime import date
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from sqlalchemy import text
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from databases import engine_all, Base_all, Session
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def seed_test_data():
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"""启动时自动注入测试数据(幂等)"""
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db = Session()
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try:
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# 临时关闭外键检查,避免 class_management_model.py 的 FK bug
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db.execute(text("SET FOREIGN_KEY_CHECKS = 0"))
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# 导入所有模型以获取 metadata(触发 Base_all.metadata.create_all)
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import students.model.students_model
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import Teachers.model.tea_model
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import scores.model.score_model
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import stu_jiuye.model
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# 创建所有表(临时关闭外键检查)
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db.execute(text("SET FOREIGN_KEY_CHECKS = 0"))
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Base_all.metadata.create_all(bind=engine_all)
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# 手动建 classes 表(因 FK bug 无法通过 ORM 建表)
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db.execute(text("""
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CREATE TABLE IF NOT EXISTS classes (
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id INT AUTO_INCREMENT PRIMARY KEY,
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num VARCHAR(50) NOT NULL UNIQUE,
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name VARCHAR(50) NOT NULL,
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head_teacher_id INT,
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coach_teacher_id INT,
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tutor_teacher_id INT,
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class_start_time DATE,
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class_end_time DATE,
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is_delete INT DEFAULT 0,
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create_time DATETIME,
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update_time DATETIME,
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FOREIGN KEY (head_teacher_id) REFERENCES teachers(id),
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FOREIGN KEY (coach_teacher_id) REFERENCES teachers(id),
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FOREIGN KEY (tutor_teacher_id) REFERENCES teachers(id)
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)
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"""))
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# 恢复外键检查
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db.execute(text("SET FOREIGN_KEY_CHECKS = 1"))
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db.commit()
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# 幂等检查:科目表有数据就跳过全部
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if db.execute(text("SELECT COUNT(*) FROM subject")).scalar() > 0:
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return
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print(" [种子] 开始注入测试数据...")
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# ── 1. 科目 ──────────────────────────────────────
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subjects = ["Python程序设计", "数据结构", "数据库原理",
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"人工智能导论", "计算机网络", "操作系统"]
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sub_ids = {}
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for name in subjects:
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result = db.execute(
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text("INSERT INTO subject (name) VALUES (:name)"),
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{"name": name}
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)
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sub_ids[name] = result.lastrowid
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# ── 2. 教师 ──────────────────────────────────────
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teachers = [
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("张伟", "m", 1, sub_ids["Python程序设计"],
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"北京", "Python", "博士", "清华", date(2018, 3, 1), "6年"),
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("李芳", "f", 1, sub_ids["数据结构"],
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"上海", "算法", "博士", "北大", date(2019, 9, 1), "4年"),
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("王强", "m", 2, sub_ids["数据库原理"],
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"广州", "MySQL", "硕士", "中山大学", date(2020, 2, 1), "3年"),
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("陈静", "f", 2, sub_ids["人工智能导论"],
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"深圳", "机器学习", "博士", "华南理工", date(2017, 7, 1), "7年"),
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("刘洋", "m", 3, sub_ids["计算机网络"],
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"杭州", "网络", "硕士", "浙江大学", date(2021, 1, 1), "2年"),
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("赵敏", "f", 3, sub_ids["操作系统"],
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"南京", "Linux", "博士", "南京大学", date(2019, 3, 1), "5年"),
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]
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teacher_ids = []
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for t in teachers:
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phone = f"1380000{len(teacher_ids):04d}"
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result = db.execute(text("""
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INSERT INTO teachers (name, sex, class_id, phone, subject_id,
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home_place, specialty, education, collage,
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start_time, work_experience, is_delete)
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VALUES (:name, :sex, :class_id, :phone, :subject_id,
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:home_place, :specialty, :education, :collage,
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:start_time, :work_experience, 0)
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"""), {
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"name": t[0], "sex": t[1], "class_id": t[2],
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"phone": phone, "subject_id": t[3],
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"home_place": t[4], "specialty": t[5],
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"education": t[6], "collage": t[7],
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"start_time": t[8], "work_experience": t[9],
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})
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teacher_ids.append(result.lastrowid)
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# ── 3. 班级 ──────────────────────────────────────
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classes = [
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("CS202401", "计算机科学2401班", teacher_ids[0],
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teacher_ids[1], teacher_ids[2],
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date(2024, 9, 1), date(2028, 6, 30)),
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("CS202402", "计算机科学2402班", teacher_ids[3],
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teacher_ids[4], teacher_ids[5],
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date(2024, 9, 1), date(2028, 6, 30)),
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("AI202501", "人工智能2501班", teacher_ids[0],
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teacher_ids[3], teacher_ids[5],
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date(2025, 9, 1), date(2029, 6, 30)),
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]
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class_ids = []
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for c in classes:
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result = db.execute(text("""
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INSERT INTO classes (num, name, head_teacher_id, coach_teacher_id,
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tutor_teacher_id, class_start_time,
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class_end_time, is_delete)
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VALUES (:num, :name, :head_teacher_id, :coach_teacher_id,
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:tutor_teacher_id, :class_start_time,
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:class_end_time, 0)
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"""), {
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"num": c[0], "name": c[1],
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"head_teacher_id": c[2], "coach_teacher_id": c[3],
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"tutor_teacher_id": c[4],
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"class_start_time": c[5], "class_end_time": c[6],
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})
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class_ids.append(result.lastrowid)
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# ── 4. 学生 ──────────────────────────────────────
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first_names = ["志强", "丽华", "建国", "美玲", "文博", "晓燕",
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"浩然", "雨桐", "子轩", "思涵",
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"俊杰", "雅琪", "宇航", "欣怡", "天翊",
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"诗涵", "一诺", "浩宇", "梓萱", "博文"]
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home_places = ["北京", "上海", "广州", "深圳", "杭州", "成都", "武汉", "西安"]
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colleges = ["清华大学", "北京大学", "复旦大学", "上海交通大学",
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"浙江大学", "南京大学", "武汉大学", "华中科技大学"]
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specialties = ["计算机科学", "软件工程", "数据科学", "人工智能"]
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for i in range(20):
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class_idx = i % 3
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enrollment = date(2024, 9, 1) if class_idx != 2 else date(2025, 9, 1)
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graduate = date(2028, 6, 30) if class_idx != 2 else date(2029, 6, 30)
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phone = f"1390000{1000 + i}"
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db.execute(text("""
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INSERT INTO students (num, name, age, sex, home_Place, college,
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specialty, enrollment_time, graduate_time,
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education, class_id, advisor_id, phone, is_deleted)
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VALUES (:num, :name, :age, :sex, :home_Place, :college,
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:specialty, :enrollment_time, :graduate_time,
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'本科', :class_id, :advisor_id, :phone, 0)
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"""), {
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"num": f"2024{1001 + i}",
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"name": first_names[i],
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"age": 18 + (i % 4),
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"sex": "男" if i % 2 == 0 else "女",
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"home_Place": home_places[i % 8],
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"college": colleges[i % 8],
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"specialty": specialties[i % 4],
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"enrollment_time": enrollment,
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"graduate_time": graduate,
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"class_id": class_ids[class_idx],
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"advisor_id": teacher_ids[i % 6],
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"phone": phone,
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})
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# ── 5. 成绩 ──────────────────────────────────────
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all_students = db.execute(
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text("SELECT id, class_id FROM students WHERE is_deleted = 0")
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).fetchall()
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all_subjects = db.execute(
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text("SELECT id FROM subject")
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).fetchall()
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for idx, st in enumerate(all_students):
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for subj_idx, sub in enumerate(all_subjects):
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score_val = 60 + (idx * 7 + subj_idx * 13) % 41
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# 前3名学生部分课程不及格(供统计接口测试)
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if idx < 3 and subj_idx < 2:
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score_val = 30 + (idx * 5) % 25
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db.execute(text("""
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INSERT INTO scores (sid, cid, num, score, t_subject, is_deleted)
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VALUES (:sid, :cid, 1, :score, :t_subject, 0)
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"""), {
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"sid": st[0], "cid": st[1],
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"score": score_val, "t_subject": sub[0],
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})
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# ── 6. 地址 ──────────────────────────────────────
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addresses = ["北京市海淀区", "上海市浦东新区", "深圳市南山区",
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"杭州市西湖区", "广州市天河区"]
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address_ids = []
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for addr in addresses:
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result = db.execute(
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text("INSERT INTO Address (somewhere) VALUES (:where)"),
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{"where": addr}
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)
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address_ids.append(result.lastrowid)
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# ── 7. 公司 ──────────────────────────────────────
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companies = ["字节跳动", "阿里巴巴", "腾讯", "华为", "百度"]
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company_ids = []
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for idx, comp_name in enumerate(companies):
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result = db.execute(
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2026-09-23 02:19:58 +08:00
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text("INSERT INTO Company (employment_company) VALUES (:name)"),
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{"name": comp_name}
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2026-09-23 01:03:00 +08:00
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)
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company_ids.append(result.lastrowid)
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# ── 8. 就业信息 ───────────────────────────────────
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employment_data = [
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(all_students[0][0], all_students[0][1], company_ids[0],
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35000, date(2028, 3, 1), date(2028, 4, 15)),
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(all_students[1][0], all_students[1][1], company_ids[1],
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32000, date(2028, 3, 1), date(2028, 5, 1)),
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(all_students[2][0], all_students[2][1], company_ids[2],
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30000, date(2028, 3, 1), date(2028, 4, 20)),
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(all_students[3][0], all_students[3][1], company_ids[3],
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28000, date(2028, 3, 1), date(2028, 5, 10)),
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(all_students[4][0], all_students[4][1], company_ids[4],
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25000, date(2028, 3, 1), date(2028, 6, 1)),
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(all_students[5][0], all_students[5][1], company_ids[0],
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33000, date(2028, 3, 1), date(2028, 4, 25)),
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(all_students[6][0], all_students[6][1], company_ids[1],
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29000, date(2028, 3, 1), None),
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(all_students[7][0], all_students[7][1], company_ids[2],
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31000, date(2028, 3, 1), date(2028, 5, 5)),
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]
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2026-09-23 02:19:58 +08:00
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for idx, emp in enumerate(employment_data):
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2026-09-23 01:03:00 +08:00
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db.execute(text("""
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2026-09-23 02:19:58 +08:00
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INSERT INTO Employments (stuid, class_id, company_id, address_id,
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2026-09-23 01:03:00 +08:00
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employment_salary, employment_open_time,
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offer_recived_time, is_deleted)
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2026-09-23 02:19:58 +08:00
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VALUES (:stuid, :class_id, :company_id, :addr_id, :salary,
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2026-09-23 01:03:00 +08:00
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:open_time, :offer_time, 0)
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"""), {
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"stuid": emp[0], "class_id": emp[1],
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2026-09-23 02:19:58 +08:00
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"company_id": emp[2], "addr_id": address_ids[idx % len(address_ids)],
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"salary": emp[3], "open_time": emp[4], "offer_time": emp[5],
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2026-09-23 01:03:00 +08:00
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})
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db.commit()
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print(f" [种子] 完成!插入 {len(subjects)} 科目、{len(teachers)} 教师、"
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f"{len(classes)} 班级、20 学生、{len(all_students)*len(all_subjects)} 成绩、"
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f"{len(companies)} 公司、{len(employment_data)} 就业")
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except Exception as e:
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db.rollback()
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print(f" [种子] 失败: {e}")
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raise
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finally:
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db.close()
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