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>
91 lines
3.6 KiB
Python
91 lines
3.6 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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# 读取提取的数据
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with open('extracted_resume_data.json', 'r', encoding='utf-8') as f:
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extracted_data = json.load(f)
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def parse_resume_content(content):
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"""解析简历内容，提取项目经历、核心能力、复合能力和个人总结"""
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# 提取项目信息
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project_name = re.search(r'项目名称：(.+?)(?:\n|$)', content)
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position = re.search(r'实习岗位：(.+?)(?:\n|$)', content)
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time_period = re.search(r'实习时间：(.+?)(?:\n|$)', content)
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company = re.search(r'实习单位：(.+?)(?:\n|$)', content)
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# 提取岗位职责
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duties_match = re.search(r'(?:岗位职责|项目职责)[：\s]*\n((?:\d+\..+?(?=\n#|\n\n|\Z))+)', content, re.DOTALL)
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if duties_match:
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duties_text = duties_match.group(1).strip()
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# 提取所有职责项并合并
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duties_items = re.findall(r'\d+\.\s*(.+?)(?=\d+\.|$)', duties_text, re.DOTALL)
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description = '\n'.join([d.strip().replace('\n', '') for d in duties_items if d])
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else:
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description = ""
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# 提取核心能力
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core_skills_match = re.search(r'核心能力[：\s]*\n((?:\d+\..+?(?=\n#|\n\n|\Z))+)', content, re.DOTALL)
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core_skills = []
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if core_skills_match:
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skills_text = core_skills_match.group(1).strip()
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# 分割并清理每个技能项
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core_skills = re.findall(r'\d+\.\s*(.+?)(?=\d+\.|$)', skills_text, re.DOTALL)
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core_skills = [s.strip().replace('\n', '').replace(' ', ' ') for s in core_skills if s]
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# 提取复合能力
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compound_skills_match = re.search(r'复合能力[：\s]*\n((?:\d+\..+?(?=\n#|\Z))+)', content, re.DOTALL)
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compound_skills = []
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if compound_skills_match:
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skills_text = compound_skills_match.group(1)
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# 提取每个复合能力（格式：数字. 能力名称：描述）
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compound_skills = re.findall(r'\d+\.\s*(.+?)(?=\d+\.|$)', skills_text, re.DOTALL)
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compound_skills = [s.strip().replace('\n', '') for s in compound_skills if s]
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# 提取个人总结/评价
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personal_summary_match = re.search(r'(?:个人总结|个人评价)[：\s]*\n(.+?)(?:\Z)', content, re.DOTALL)
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personal_summary = personal_summary_match.group(1).strip() if personal_summary_match else ""
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return {
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'project_experience': {
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'project_name': project_name.group(1) if project_name else "",
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'position': position.group(1) if position else "",
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'time_period': time_period.group(1) if time_period else "",
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'company': company.group(1) if company else "",
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'description': description
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},
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'core_skills': core_skills,
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'compound_skills': compound_skills,
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'personal_summary': personal_summary
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}
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# 生成JavaScript代码更新
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updates = []
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for position_name, data in extracted_data.items():
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content = data.get('简历内容', '')
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if content:
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student_info = parse_resume_content(content)
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# 格式化为JavaScript对象
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js_obj = {
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'position': position_name,
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'studentInfo': student_info
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}
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updates.append(js_obj)
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# 保存为JSON供后续处理
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with open('resume_updates.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(f"成功处理 {len(updates)} 个岗位的数据")
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print("已保存到 resume_updates.json")
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# 显示第一个更新作为示例
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if updates:
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print("\n示例数据（第一个岗位）：")
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print(json.dumps(updates[0], ensure_ascii=False, indent=2)[:1000]) |