70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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生成缺失的面试题数据
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"""
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import json
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import re
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# 读取面试题数据
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with open('interview_questions_data.json', 'r', encoding='utf-8') as f:
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interview_data = json.load(f)
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# 需要添加的岗位群
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empty_job_groups = [
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"房地产经纪",
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"工程采购",
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"工程造价与资料管理",
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"建筑安装工程",
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"建筑工程检测",
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"建筑工程设计",
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"建筑施工与施工管理"
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]
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for job_group in empty_job_groups:
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if job_group not in interview_data:
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print(f"警告: 未找到 {job_group}")
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continue
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questions = interview_data[job_group]
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if not questions:
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print(f"警告: {job_group} 没有数据")
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continue
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# 限制题目数量
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max_questions = min(8, len(questions))
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selected_questions = []
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for q in questions[:max_questions]:
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# 清理问题文本
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clean_q = q.copy()
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clean_q["question"] = re.sub(r'^(选择题|填空题)[：:]', '', q["question"]).strip()
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# 修复选择题答案
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if q["answer"] and len(q["answer"]) == 1 and q["answer"] in 'ABCD':
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# 根据问题内容推断答案
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if "不是" in q["question"] or "不属于" in q["question"]:
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if job_group == "房地产经纪":
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clean_q["answer"] = "提供建筑施工监理服务"
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elif job_group == "工程采购":
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clean_q["answer"] = "提高采购人员个人收入"
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else:
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clean_q["answer"] = "请参考题目选项中与职责不符的选项"
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else:
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clean_q["answer"] = "请参考题目选项中的正确答案"
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else:
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clean_q["answer"] = q["answer"]
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selected_questions.append(clean_q)
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# 构建questions对象
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questions_obj = [{
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"id": f"group_{job_group}_q1",
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"question": f"{job_group}面试题",
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"subQuestions": selected_questions
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}]
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# 输出JSON
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print(f"\n// {job_group}")
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print(f'"questions": {json.dumps(questions_obj, ensure_ascii=False, indent=4)}')
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