68 lines
2.7 KiB
Python
68 lines
2.7 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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# 读取个人简历内容.json
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with open('/Users/apple/Documents/cursor/教务系统/frontend/网页未导入数据/个人简历内容.json', 'r', encoding='utf-8') as f:
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resume_data = json.load(f)
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# 读取当前的mockData.js文件
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with open('/Users/apple/Documents/cursor/教务系统/frontend/src/data/mockData.js', 'r', encoding='utf-8') as f:
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mockdata_content = f.read()
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# 创建岗位名称到简历内容的映射
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position_map = {}
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for item in resume_data:
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if '❌岗位名称查询' in item and '简历内容' in item:
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position_name = item['❌岗位名称查询']
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resume_content = item['简历内容']
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# 解析简历内容，提取项目经历、专业技能和个人总结
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# 项目经历部分
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project_match = re.search(r'# 一、项目经历(.*?)(?=# 二、|$)', resume_content, re.DOTALL)
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project_experience = ""
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if project_match:
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project_text = project_match.group(1).strip()
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# 清理markdown格式
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project_text = project_text.replace('### ', '')
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project_text = project_text.replace('# ', '')
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project_experience = project_text
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# 专业技能部分
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skills_match = re.search(r'# 二、[专业技能|掌握技能](.*?)(?=# 三、|$)', resume_content, re.DOTALL)
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skills = ""
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if skills_match:
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skills_text = skills_match.group(1).strip()
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skills_text = skills_text.replace('### ', '')
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skills_text = skills_text.replace('# ', '')
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skills = skills_text
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# 个人总结部分
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summary_match = re.search(r'# 三、[个人总结|个人评价](.*?)$', resume_content, re.DOTALL)
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summary = ""
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if summary_match:
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summary_text = summary_match.group(1).strip()
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summary = summary_text
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position_map[position_name] = {
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'projectExperience': project_experience,
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'skills': skills,
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'personalSummary': summary
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}
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# 输出找到的岗位数量
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print(f"找到 {len(position_map)} 个岗位的简历数据")
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# 输出所有岗位名称
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print("\n已处理的岗位：")
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for position_name in sorted(position_map.keys()):
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print(f" - {position_name}")
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# 保存映射数据为JSON文件，供后续使用
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with open('/Users/apple/Documents/cursor/教务系统/frontend/scripts/resume_mapping.json', 'w', encoding='utf-8') as f:
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json.dump(position_map, f, ensure_ascii=False, indent=2)
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print("\n简历数据映射已保存到 resume_mapping.json")
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print("请运行 update_mockdata.py 来更新 mockData.js 文件") |