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online_sys/frontend_大健康/clean_mixed_structures.py
KQL a7242f0c69 Initial commit: 教务系统在线平台
- 包含4个产业方向的前端项目:智能开发、智能制造、大健康、财经商贸
- 已清理node_modules、.yoyo等大文件,项目大小从2.6GB优化至631MB
- 配置完善的.gitignore文件

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-12 18:16:55 +08:00

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
清理混合的数据结构移除所有嵌套的subQuestions结构
只保留扁平的questions结构
"""
import re
def clean_mixed_structures():
"""清理混合结构"""
try:
# 读取文件
with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
content = f.read()
print("开始清理混合结构...")
# 1. 移除所有包含subQuestions的问题组
# 匹配从 { "id": "group_q..." 开始到对应的 } 结束的完整问题组
content = re.sub(
r',?\s*\{\s*"id":\s*"group_q\d+"[\s\S]*?"subQuestions":\s*\[[\s\S]*?\]\s*\}',
'',
content,
flags=re.DOTALL
)
# 2. 清理残留的多余逗号和空白
content = re.sub(r',\s*,', ',', content)
content = re.sub(r'\[\s*,', '[', content)
content = re.sub(r',\s*\]', ']', content)
# 3. 修复空的questions数组
content = re.sub(r'"questions":\s*\[\s*\]', '"questions": []', content)
# 4. 清理孤立的逗号和括号
content = re.sub(r'\s*\]\s*\}\s*\]\s*\},', '\n }', content)
# 5. 修复岗位间的连接
content = re.sub(r'(\s+\}\s*)\n\s+\{\s*("id":\s*"health_)', r'\1,\n {\n \2', content)
print("清理完成,写入文件...")
# 写回文件
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
f.write(content)
print("混合结构清理完成!")
return True
except Exception as e:
print(f"清理失败: {e}")
import traceback
traceback.print_exc()
return False
def main():
clean_mixed_structures()
if __name__ == "__main__":
main()