cd2e307402
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>
100 lines
3.7 KiB
Python
100 lines
3.7 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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print("正在修复文件结构...")
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# 读取文件
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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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# 备份原始文件
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with open('src/mocks/resumeInterviewMock.js.backup_structure', 'w', encoding='utf-8') as f:
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f.write(content)
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print("✅ 已创建备份文件: src/mocks/resumeInterviewMock.js.backup_structure")
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# 查找所有在 }] 后面出现的孤立的 compound_skills 或其他内容
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# 这些是破坏结构的多余内容
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issues_found = 0
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# 第一步：查找并删除所有多余的compound_skills等内容
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# 在每个行业数组结束后，如果有多余的内容，删除它们
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pattern = r'(\}\s*\}\s*\],)\s*compound_skills:\s*\[[^\]]*?\],\s*personal_summary:\s*"[^"]*?"\s*\}\s*\}\s*\],\s*("[\w\u4e00-\u9fff]+": \[)'
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matches = re.findall(pattern, content)
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if matches:
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print(f"发现 {len(matches)} 处多余的compound_skills结构")
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content = re.sub(pattern, r'\1\n \2', content)
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issues_found += len(matches)
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# 第二步：查找并删除孤立的数组元素
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# 在 ], 后面直接跟着字符串的情况
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pattern2 = r'(\],)\s*("[^"]+",[\s\S]*?)\],\s*personal_summary:'
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matches2 = re.findall(pattern2, content)
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if matches2:
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print(f"发现 {len(matches2)} 处孤立的数组元素")
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# 只保留第一个 ],
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content = re.sub(pattern2, r'\1', content)
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issues_found += len(matches2)
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# 第三步：确保resumeTemplates正确结束
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# 检查第6516行附近的结构
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lines = content.split('\n')
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for i in range(len(lines)):
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if i > 6510 and i < 6520:
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# 在resumeTemplates结束的地方，确保有正确的分号
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if lines[i].strip() == '};' and i == 6515:
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# 这是正确的
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pass
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elif lines[i].strip() == '}' and i == 6515:
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lines[i] = ' };'
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print(f"修复了第 {i+1} 行：添加了分号")
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issues_found += 1
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content = '\n'.join(lines)
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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✅ 修复完成，共修复了 {issues_found} 处问题")
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# 验证文件语法
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import subprocess
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result = subprocess.run(['node', '-c', 'src/mocks/resumeInterviewMock.js'],
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capture_output=True, text=True)
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if result.returncode == 0:
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print("✅ 文件语法验证通过！")
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# 测试数据加载
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test_code = """
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const { resumeInterviewMockData } = require('./src/mocks/resumeInterviewMock.js');
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console.log('Industries数量:', resumeInterviewMockData.industries.length);
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console.log('ResumeTemplates键数量:', Object.keys(resumeInterviewMockData.resumeTemplates).length);
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const camping = resumeInterviewMockData.resumeTemplates['露营地运营'];
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console.log('露营地运营模板数量:', camping ? camping.length : 0);
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"""
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with open('test_load.js', 'w') as f:
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f.write(test_code)
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result2 = subprocess.run(['node', 'test_load.js'], capture_output=True, text=True)
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if result2.returncode == 0:
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print("\n数据加载测试:")
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print(result2.stdout)
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else:
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print(f"\n数据加载失败: {result2.stderr}")
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else:
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print(f"❌ 文件仍有语法错误：\n{result.stderr}")
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print("\n尝试定位错误位置...")
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# 提取错误行号
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import re
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match = re.search(r':(\d+)', result.stderr)
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if match:
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line_num = int(match.group(1))
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print(f"错误在第 {line_num} 行附近：")
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for i in range(max(0, line_num-3), min(len(lines), line_num+3)):
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prefix = ">>> " if i == line_num-1 else " "
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print(f"{prefix}{i+1}: {lines[i][:100]}") |