import pandas as pd
import random

# 加载学生名单，从Excel文件导入
def load_students(file_path):
    df = pd.read_excel(file_path)
    # Excel文件有两列：'姓名' 和 '学号'
    students = df.to_dict('records')
    for student in students:
        student['积分'] = 0  # 初始化每位学生的积分为0
    return students

# 保存学生名单，更新积分后导出到Excel
def save_students(students, file_path):
    df = pd.DataFrame(students)
    df.to_excel(file_path, index=False)

# 根据积分设置每个学生的被选概率，积分越高，权重越低
def get_student_weights(students):
    max_score = max([s['积分'] for s in students])
    weights = [(max_score - s['积分'] + 1) for s in students]  # 权重为 max_score - 当前积分 + 1
    return weights

# 随机点名
def pick_student(students):
    weights = get_student_weights(students)
    picked_student = random.choices(students, weights=weights, k=1)[0]
    print(f"点到学生: {picked_student['姓名']} (学号: {picked_student['学号']})")
    return picked_student

# 增加到达课堂的积分
def update_attendance_score(student):
    student['积分'] += 1
    print(f"{student['姓名']} 到达课堂，积分 +1，总积分: {student['积分']}")

# 处理回答问题的积分
def update_answer_score(student, repeated_question_correctly, answer_score):
    if repeated_question_correctly:
        student['积分'] += 0.5
        print(f"{student['姓名']} 正确重复问题，积分 +0.5")
    else:
        student['积分'] -= 1
        print(f"{student['姓名']} 未能正确重复问题，积分 -1")

    student['积分'] += answer_score
    print(f"{student['姓名']} 回答问题，加 {answer_score} 分，总积分: {student['积分']}")

def main():
    #  Excel 文件路径
    file_path = 'students.xlsx'

    # 加载学生数据
    students = load_students(file_path)

    # 随机点名
    picked_student = pick_student(students)

    # 假设学生到达课堂                                       客户端反馈是否调用函数
    update_attendance_score(picked_student)

    # 假设学生回答问题                                       客户端反馈具体答题情况再调用函数
    repeated_correctly = True  # 假设学生正确重复了问题
    answer_score = 2.0  # 假设学生回答问题的得分是2分
    update_answer_score(picked_student, repeated_correctly, answer_score)

    # 保存更新后的数据回到 Excel 文件
    save_students(students, file_path)

if __name__ == '__main__':
    main()