a7242f0c69
- 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>
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]}") |