129 lines
4.3 KiB
Python
129 lines
4.3 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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完整更新所有岗位群的面试题：
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1. 删除所有题型前缀（选择题：、填空题：、判断题：等）
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2. 将所有面试题放入对应岗位群（不限制数量）
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3. 修复选择题答案
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"""
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import json
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import re
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from datetime import datetime
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def clean_question_text(question):
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"""删除所有题型前缀"""
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# 删除"选择题："、"填空题："、"判断题："、"问答题："、"情景题："、"案例："等前缀
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question = re.sub(r'^(选择题|填空题|判断题|问答题|情景题|案例|模拟)[：:]', '', question)
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return question.strip()
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def fix_choice_answer(question, answer):
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"""修复选择题答案"""
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if answer and len(answer) == 1 and answer in 'ABCD':
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# 根据问题内容推断可能的答案
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if "不是" in question or "不属于" in question or "不合规" in question:
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return "请参考题目选项中与要求不符的选项"
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else:
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return "请参考题目选项中的正确答案"
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return answer
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def update_all_questions():
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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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# 读取mock文件
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with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
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content = f.read()
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# 备份
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backup_name = f'src/mocks/resumeInterviewMock.js.backup_{datetime.now().strftime("%Y%m%d_%H%M%S")}_complete'
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with open(backup_name, 'w', encoding='utf-8') as f:
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f.write(content)
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print(f"已创建备份: {backup_name}")
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# 所有岗位群列表
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all_job_groups = [
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"BIM建筑信息模型",
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"房地产经纪",
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"工程采购",
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"工程监理",
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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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"建筑测量",
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"建筑工程检测",
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"建筑工程设计",
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"建筑工程制图",
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"建筑节能",
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"建筑施工与施工管理",
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"施工安全管理",
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"室内设计",
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"招投标管理"
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]
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updated = 0
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for job_group in all_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} 的面试题数据")
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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} 没有面试题")
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continue
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# 不限制题目数量，使用所有题目
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selected_questions = []
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for q in questions:
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# 清理问题文本
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clean_q = {
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"id": q["id"],
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"question": clean_question_text(q["question"]),
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"answer": fix_choice_answer(q["question"], q["answer"])
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}
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selected_questions.append(clean_q)
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# 构建questions数组
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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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# 格式化JSON
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questions_json = json.dumps(questions_obj, ensure_ascii=False, indent=4)
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# 查找并替换该岗位群的questions字段
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# 使用更精确的正则表达式
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pattern = rf'("name":\s*"{re.escape(job_group)}"[^{{}}]*?"questions":\s*)(\[[^\]]*?\])'
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def replace_func(match):
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nonlocal updated
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# 调整缩进
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indented_json = questions_json.replace('\n', '\n ')
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updated += 1
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return match.group(1) + indented_json
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new_content, count = re.subn(pattern, replace_func, content, flags=re.DOTALL)
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if count > 0:
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content = new_content
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print(f"✓ 已更新: {job_group} ({len(selected_questions)} 道题)")
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else:
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print(f"× 未找到: {job_group}")
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# 额外清理：删除任何残留的判断题前缀
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content = re.sub(r'"question":\s*"判断题：([^"]*)"', r'"question": "\1"', content)
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# 写回文件
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(content)
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print(f"\n总共更新了 {updated} 个岗位群的面试题")
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print("已删除所有题型前缀（选择题、填空题、判断题等）")
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print("已将所有面试题内容放入对应岗位群")
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if __name__ == "__main__":
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update_all_questions()
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