81 lines
2.4 KiB
Python
81 lines
2.4 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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import re
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from datetime import datetime
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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")}_direct'
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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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# 为每个空岗位群生成面试题
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def generate_questions(job_group_name):
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if job_group_name not in interview_data:
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return []
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questions = interview_data[job_group_name][:8] # 限制8道题
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cleaned = []
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for q in questions:
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clean_q = {
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"id": q["id"],
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"question": re.sub(r'^(选择题|填空题)[：:]', '', q["question"]).strip(),
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"answer": q["answer"]
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}
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# 修复单字母答案
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if len(q["answer"]) == 1 and q["answer"] in 'ABCD':
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if "不是" in q["question"] or "不属于" in q["question"]:
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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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cleaned.append(clean_q)
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return [{
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"id": f"group_{job_group_name}_q1",
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"question": f"{job_group_name}面试题",
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"subQuestions": cleaned
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}]
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# 手动替换每个空questions
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updates = [
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(184, "房地产经纪"),
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(251, "工程采购"),
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(422, "工程造价与资料管理"),
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(529, "建筑安装工程"),
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(740, "建筑工程检测"),
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(867, "建筑工程设计"),
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(1142, "建筑施工与施工管理")
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]
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lines = content.split('\n')
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for line_no, job_group in updates:
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questions_obj = generate_questions(job_group)
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if questions_obj:
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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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# 调整缩进（4个空格）
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questions_json = questions_json.replace('\n', '\n ')
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# 替换对应行
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lines[line_no - 1] = ' "questions": ' + questions_json
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print(f"✓ 已更新: {job_group} (行 {line_no})")
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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('\n'.join(lines))
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print("\n完成所有更新！")
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