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>
129 lines
3.9 KiB
Python
129 lines
3.9 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 remove_fake_modified_versions():
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"""删除没有真实修改版的岗位的modified字段"""
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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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# 找到所有包含position和modified的代码块
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# 匹配模式：从position: "岗位名" 开始，到包含modified字段的整个content对象
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pattern = r'position:\s*"([^"]+)".*?content:\s*\{[^}]*?original:\s*`[^`]*?`[^}]*?modified:\s*`[^`]*?`[^}]*?\}'
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def process_match(match):
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full_match = match.group(0)
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position_name = match.group(1)
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# 如果是有真实修改版的岗位，保持不变
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if position_name in real_modified_positions:
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print(f"✓ 保留 {position_name} 的修改版")
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return full_match
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# 否则，删除modified字段
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# 找到modified字段的开始位置
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modified_pattern = r',\s*modified:\s*`[^`]*?`'
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new_content = re.sub(modified_pattern, '', full_match)
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print(f"✗ 删除 {position_name} 的假修改版")
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return new_content
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# 执行替换
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new_content = re.sub(pattern, process_match, 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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"""验证处理结果"""
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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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# 统计所有有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(matches)}个）：")
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for position in matches:
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print(f" - {position}")
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# 期望的岗位列表
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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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# 检查是否匹配
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print("\n检查结果：")
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for position in expected:
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if position in matches:
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print(f" ✓ {position} - 已保留modified")
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else:
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print(f" ✗ {position} - 未找到modified（可能有问题）")
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# 检查是否有不应该有modified的岗位
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unexpected = [p for p in matches if p not in expected]
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if unexpected:
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print("\n⚠️ 警告：以下岗位不应该有modified字段：")
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for position in unexpected:
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print(f" - {position}")
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def main():
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print("开始处理没有真实修改版的岗位...")
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print("=" * 50)
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# 删除假的修改版
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remove_fake_modified_versions()
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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() |