85 lines
2.7 KiB
Python
85 lines
2.7 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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更新剩余的空questions数组
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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 update_remaining_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")}_remaining'
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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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# 定义需要更新的岗位群映射
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updates_map = {
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"房地产经纪": "房地产经纪",
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"工程采购": "工程采购",
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"工程造价与资料管理": "工程造价与资料管理",
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"建筑安装工程": "建筑安装工程",
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"建筑工程检测": "建筑工程检测",
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"建筑工程设计": "建筑工程设计",
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"建筑施工与施工管理": "建筑施工与施工管理"
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}
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updated = 0
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# 为每个岗位群更新questions
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for job_group_name, data_key in updates_map.items():
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if data_key not in interview_data:
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print(f"未找到 {data_key} 的面试题数据")
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continue
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questions = interview_data[data_key]
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if not questions:
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continue
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# 限制题目数量
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max_questions = min(10, len(questions))
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selected_questions = questions[:max_questions]
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# 构建questions数组
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questions_obj = [{
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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": selected_questions
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}]
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# 查找并替换
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# 使用正则表达式查找该岗位群的questions字段
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pattern = rf'("name":\s*"{re.escape(job_group_name)}"[^}}]*?"questions":\s*)\[\]'
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def replace_func(match):
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nonlocal updated
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questions_json = json.dumps(questions_obj, ensure_ascii=False, indent=4)
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# 调整缩进
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questions_json = questions_json.replace('\n', '\n ')
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updated += 1
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return match.group(1) + questions_json
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content = re.sub(pattern, replace_func, content, flags=re.DOTALL)
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if updated > 0:
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print(f"已更新: {job_group_name} ({len(selected_questions)} 道题)")
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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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return updated
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if __name__ == "__main__":
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update_remaining_questions()
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