算法设计历史版本

historyVersion/basicVersion1.py

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+import pandas as pd
+import random
+
+# 读取学生名单 Excel 文件
+def read_student_list(file_path):
+    df = pd.read_excel(file_path)
+    df['积分'] = 0  # 初始化每个学生的积分为0
+    return df
+# 学生名单保存在 students.xlsx 文件中
+students = read_student_list('students.xlsx')
+print(students)
+
+
+# 点名规则：按积分计算选中的概率
+def weighted_random_choice(df):
+    total_weight = sum([1 / (1 + score) for score in df['积分']])
+    r = random.uniform(0, total_weight)
+    upto = 0
+    for i, row in df.iterrows():
+        weight = 1 / (1 + row['积分'])
+        if upto + weight >= r:
+            return i  # 返回被点名的学生索引
+        upto += weight
+
+# 更新积分
+def update_score(df, index, answer_correctness):
+    df.loc[index, 'score'] += 1  # 点到一次+1
+    # 根据回答情况调整积分
+    if answer_correctness == 'wrong':
+        df.loc[index, 'score'] -= 1
+    elif answer_correctness == 'partial':
+        df.loc[index, 'score'] += 1
+    elif answer_correctness == 'correct':
+        df.loc[index, 'score'] += 3
+# 示例：更新一个被选中学生的积分
+selected_index = weighted_random_choice(students)
+update_score(students, selected_index, 'correct')
+
+# 保存更新后的名单
+def save_to_excel(df):
+    df.to_excel("updated_students.xlsx", index=False)
+# 示例
+save_to_excel(students)
+
+# 主循环，随机点名并更新积分
+def classroom_roll_call(file_path, num_sessions):
+    for _ in range(num_sessions):
+        selected_index = weighted_random_choice(students)
+        # 模拟回答情况
+        answer = random.choice(['wrong', 'partial', 'correct'])
+        update_score(students, selected_index, answer)
+# 示例：进行10次点名
+classroom_roll_call('students.xlsx', 10)

historyVersion/basicVersion2.py

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+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()

historyVersion/connectVersion1.py

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+from flask import Flask, request, jsonify
+import pandas as pd
+import random
+
+app = Flask(__name__)
+
+
+# 加载学生名单，从Excel文件导入
+def load_students(file_path):
+    df = pd.read_excel(file_path)
+    students = df.to_dict('records')
+    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]
+    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]
+    return picked_student
+
+
+# 增加到达课堂的积分
+def update_attendance_score(student):
+    student['积分'] += 1
+    return 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
+    else:
+        student['积分'] -= 1
+
+    student['积分'] += answer_score
+    return student['积分']
+
+
+# 文件路径
+file_path = 'students.xlsx'
+
+
+@app.route('/get_random_student', methods=['GET'])
+def get_random_student():
+    students = load_students(file_path)
+    picked_student = pick_student(students)
+    return jsonify({'姓名':picked_student['姓名'], '学号':picked_student['学号']})
+
+
+@app.route('/update_attendance_score_route', methods=['POST'])
+def update_attendance_score_route():
+    data = request.json                   #确定学生到达课堂后 前端传递学号回来
+    student_id = data['学号']
+
+    students = load_students(file_path)
+
+    for student in students:
+        if student['学号'] == student_id:
+            updated_score = update_attendance_score(student)
+            break
+
+    save_students(students, file_path)
+
+    return jsonify({"学号": student_id, "积分": updated_score})
+
+
+@app.route('/update_answer_score_route', methods=['POST'])
+def update_answer_score_route():
+    data = request.json
+    student_id = data['学号']
+    repeated_correctly = data['repeated_correctly']
+    answer_score = data['answer_score']
+
+    students = load_students(file_path)
+
+    for student in students:
+        if student['学号'] == student_id:
+            updated_score = update_answer_score(student, repeated_correctly, answer_score)
+            break
+
+    save_students(students, file_path)
+
+    return jsonify({"学号": student_id, "积分": updated_score})
+
+
+if __name__ == '__main__':
+    app.run(debug=True)