主要内容: - 包含12个产业的完整教务系统前端代码 - 智能启动脚本 (start-industry.sh) - 可视化产业导航页面 (index.html) - 项目文档 (README.md) 优化内容: - 删除所有node_modules和.yoyo文件夹,从7.5GB减少到2.7GB - 添加.gitignore文件避免上传不必要的文件 - 自动依赖管理和智能启动系统 产业列表: 1. 文旅产业 (5150) 2. 智能制造 (5151) 3. 智能开发 (5152) 4. 财经商贸 (5153) 5. 视觉设计 (5154) 6. 交通物流 (5155) 7. 大健康 (5156) 8. 土木水利 (5157) 9. 食品产业 (5158) 10. 化工产业 (5159) 11. 能源产业 (5160) 12. 环保产业 (5161) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
#!/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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import datetime
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import shutil
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def clean_interview_questions():
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"""
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清理面试题数据,删除difficulty和tags字段
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"""
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mock_file = "src/mocks/resumeInterviewMock.js"
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# 备份文件
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backup_path = f"{mock_file}.backup_{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}"
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shutil.copy(mock_file, backup_path)
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print(f"✅ 已备份文件到:{backup_path}")
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# 读取文件内容
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with open(mock_file, 'r', encoding='utf-8') as f:
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content = f.read()
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# 使用正则表达式删除difficulty和tags字段
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# 删除difficulty行
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content = re.sub(r',?\s*"difficulty":\s*"[^"]*"', '', content)
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# 删除tags字段(包括数组内容)
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content = re.sub(r',?\s*"tags":\s*\[[^\]]*\]', '', content)
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# 清理多余的逗号(如果answer后面有逗号但后面没有其他字段)
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content = re.sub(r'("answer":\s*"[^"]*"),\s*\n\s*}', r'\1\n }', content)
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# 清理多余的空行
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content = re.sub(r'\n\s*\n\s*\n', '\n', content)
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# 写回文件
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.write(content)
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print("✅ 成功清理面试题数据")
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# 验证清理结果
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with open(mock_file, 'r', encoding='utf-8') as f:
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check_content = f.read()
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difficulty_count = len(re.findall(r'"difficulty"', check_content))
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tags_count = len(re.findall(r'"tags"', check_content))
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if difficulty_count == 0 and tags_count == 0:
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print("✅ 验证成功:已完全删除difficulty和tags字段")
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else:
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print(f"⚠️ 仍有残留:difficulty出现{difficulty_count}次,tags出现{tags_count}次")
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if __name__ == "__main__":
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clean_interview_questions() |