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>
140 lines
4.2 KiB
Python
140 lines
4.2 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import re
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from datetime import datetime
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def create_backup(file_path):
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"""创建备份文件"""
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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backup_path = f"{file_path}.backup_{timestamp}"
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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with open(backup_path, '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_path}")
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return backup_path
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def simplify_content_structure():
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"""将content对象简化为只包含原始内容"""
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file_path = 'src/mocks/resumeInterviewMock.js'
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# 创建备份
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create_backup(file_path)
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# 有真实修改版的岗位列表（这些要保留original和modified）
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real_modified_positions = {
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"会展策划师",
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"会展执行助理",
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"会展讲解员",
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"活动策划师",
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"活动执行",
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"漫展策划师",
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"旅游规划师",
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"旅游计调专员",
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"景区运营专员",
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"文旅运营总监助理"
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}
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# 读取文件内容
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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# 处理模式：
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# 1. 找到position: "岗位名"
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# 2. 找到其后的content: {
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# 3. 如果岗位不在real_modified_positions中，将content: { original: `...`, modified: `...` } 改为 content: `...`
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def process_position_block(match):
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full_match = match.group(0)
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position_name = match.group(1)
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if position_name in real_modified_positions:
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# 保留原样
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print(f"✓ 保留 {position_name} 的original和modified结构")
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return full_match
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# 提取original内容
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original_match = re.search(r'original:\s*`([^`]*)`', full_match, re.DOTALL)
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if original_match:
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original_content = original_match.group(1)
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# 替换整个content对象为简单字符串
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new_content = re.sub(
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r'content:\s*\{[^}]*original:\s*`[^`]*`[^}]*modified:\s*`[^`]*`[^}]*\}',
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f'content: `{original_content}`',
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full_match,
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flags=re.DOTALL
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)
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print(f"✗ 简化 {position_name} 的content结构（删除modified）")
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return new_content
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return full_match
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# 匹配position到整个content对象的模式
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pattern = r'position:\s*"([^"]+)"[^{]*content:\s*\{[^}]*original:\s*`[^`]*`[^}]*modified:\s*`[^`]*`[^}]*\}'
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# 执行替换
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new_content = re.sub(pattern, process_position_block, content, flags=re.DOTALL)
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# 保存文件
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with open(file_path, 'w', encoding='utf-8') as f:
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f.write(new_content)
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print("\n处理完成！")
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def verify_results():
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"""验证结果"""
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file_path = 'src/mocks/resumeInterviewMock.js'
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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# 统计还有modified字段的岗位
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pattern = r'position:\s*"([^"]+)"[^}]*modified:\s*`'
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matches = re.findall(pattern, content, re.DOTALL)
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print("\n验证结果：")
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print("=" * 50)
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print(f"还有modified字段的岗位（共{len(set(matches))}个）：")
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for position in set(matches):
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print(f" - {position}")
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# 期望的列表
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expected = {
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"会展策划师",
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"会展执行助理",
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"会展讲解员",
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"活动策划师",
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"活动执行",
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"漫展策划师",
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"旅游规划师",
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"旅游计调专员",
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"景区运营专员",
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"文旅运营总监助理"
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}
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found = set(matches)
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if found == expected:
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print("\n✓ 完美！所有岗位的modified字段都正确")
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else:
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missing = expected - found
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extra = found - expected
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if missing:
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print(f"\n⚠️ 缺少modified的岗位：{missing}")
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if extra:
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print(f"\n⚠️ 不应该有modified的岗位：{extra}")
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def main():
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print("开始简化content结构...")
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print("=" * 50)
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# 简化content结构
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simplify_content_structure()
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# 验证结果
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verify_results()
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if __name__ == "__main__":
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main() |