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>
72 lines
2.9 KiB
Python
72 lines
2.9 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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# 读取数据
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with open('resume_updates.json', 'r', encoding='utf-8') as f:
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updates = json.load(f)
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# 读取当前的resumeInterviewMock.js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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# 定义需要更新的岗位和其所属行业
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position_mapping = {
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'露营地运营专员': '露营地运营', # 需要创建新行业
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'文创产品设计师': '文旅产品设计',
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'文创产品策划师': '文旅产品设计',
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'文创产品设计师助理': '文旅产品设计',
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'品牌策划运营专员': '品牌运营',
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'品牌公关': '品牌运营',
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'品牌推广专员': '品牌运营',
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'ip运营': '品牌运营',
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'IP运营总监助理': '品牌运营',
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'品牌公关管培生': '品牌运营'
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}
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# 生成更新代码
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for update in updates:
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position = update['position']
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student_info = update['studentInfo']
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# 清理数据中的额外空格和错误文本
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if student_info['project_experience']['project_name']:
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student_info['project_experience']['project_name'] = student_info['project_experience']['project_name'].strip()
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if student_info['project_experience']['position']:
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student_info['project_experience']['position'] = student_info['project_experience']['position'].strip()
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if student_info['project_experience']['time_period']:
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student_info['project_experience']['time_period'] = student_info['project_experience']['time_period'].strip()
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if student_info['project_experience']['company']:
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student_info['project_experience']['company'] = student_info['project_experience']['company'].strip()
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# 清理core_skills中的错误文本
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cleaned_core_skills = []
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for skill in student_info['core_skills']:
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# 移除开头的"chubu "等错误文本
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skill = re.sub(r'^chubu\s+', '', skill)
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skill = skill.strip()
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if skill:
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cleaned_core_skills.append(skill)
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student_info['core_skills'] = cleaned_core_skills
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# 清理compound_skills
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cleaned_compound_skills = []
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for skill in student_info['compound_skills']:
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skill = skill.strip()
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if skill:
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cleaned_compound_skills.append(skill)
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student_info['compound_skills'] = cleaned_compound_skills
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print(f"\n处理岗位: {position}")
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print(f" - 项目名称: {student_info['project_experience']['project_name']}")
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print(f" - 核心技能数: {len(student_info['core_skills'])}")
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print(f" - 复合技能数: {len(student_info['compound_skills'])}")
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print(f" - 个人总结长度: {len(student_info['personal_summary'])}")
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# 保存清理后的数据
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with open('resume_updates_cleaned.json', 'w', encoding='utf-8') as f:
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json.dump(updates, f, ensure_ascii=False, indent=2)
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print("\n数据清理完成，保存到 resume_updates_cleaned.json") |