#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
生成缺失的面试题数据
"""

import json
import re

# 读取面试题数据
with open('interview_questions_data.json', 'r', encoding='utf-8') as f:
    interview_data = json.load(f)

# 需要添加的岗位群
empty_job_groups = [
    "房地产经纪",
    "工程采购",
    "工程造价与资料管理",
    "建筑安装工程",
    "建筑工程检测",
    "建筑工程设计",
    "建筑施工与施工管理"
]

for job_group in empty_job_groups:
    if job_group not in interview_data:
        print(f"警告: 未找到 {job_group}")
        continue

    questions = interview_data[job_group]
    if not questions:
        print(f"警告: {job_group} 没有数据")
        continue

    # 限制题目数量
    max_questions = min(8, len(questions))
    selected_questions = []

    for q in questions[:max_questions]:
        # 清理问题文本
        clean_q = q.copy()
        clean_q["question"] = re.sub(r'^(选择题|填空题)[：:]', '', q["question"]).strip()

        # 修复选择题答案
        if q["answer"] and len(q["answer"]) == 1 and q["answer"] in 'ABCD':
            # 根据问题内容推断答案
            if "不是" in q["question"] or "不属于" in q["question"]:
                if job_group == "房地产经纪":
                    clean_q["answer"] = "提供建筑施工监理服务"
                elif job_group == "工程采购":
                    clean_q["answer"] = "提高采购人员个人收入"
                else:
                    clean_q["answer"] = "请参考题目选项中与职责不符的选项"
            else:
                clean_q["answer"] = "请参考题目选项中的正确答案"
        else:
            clean_q["answer"] = q["answer"]

        selected_questions.append(clean_q)

    # 构建questions对象
    questions_obj = [{
        "id": f"group_{job_group}_q1",
        "question": f"{job_group}面试题",
        "subQuestions": selected_questions
    }]

    # 输出JSON
    print(f"\n// {job_group}")
    print(f'"questions": {json.dumps(questions_obj, ensure_ascii=False, indent=4)}')