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>
51 lines
1.7 KiB
Python
51 lines
1.7 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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print("开始转换大健康岗位数据...")
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# 读取大健康岗位简历数据
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/网页未导入数据/大健康产业/大健康岗位简历.json', 'r', encoding='utf-8') as f:
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health_data = json.load(f)
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# 按岗位群分组
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position_groups = {}
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for item in health_data:
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group_name = item['简历岗位群']
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if group_name not in position_groups:
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position_groups[group_name] = {
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'positions': [],
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'questions': [],
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'resumes': {}
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}
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# 添加岗位信息
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position = {
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'title': item['岗位名称'],
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'level': item['岗位等级标签'],
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'avatar': item['简历头像url']
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}
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if position not in position_groups[group_name]['positions']:
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position_groups[group_name]['positions'].append(position)
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# 添加简历内容
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position_groups[group_name]['resumes'][item['岗位名称']] = item['简历内容']
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# 添加面试题（避免重复）
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if item['面试题内容'] and item['面试题内容'] not in position_groups[group_name]['questions']:
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position_groups[group_name]['questions'].append(item['面试题内容'])
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# 统计信息
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print(f"\n找到 {len(position_groups)} 个岗位群:")
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for group_name, group_data in position_groups.items():
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print(f" - {group_name}: {len(group_data['positions'])} 个岗位")
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# 保存分组后的数据
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/health_data_grouped.json', 'w', encoding='utf-8') as f:
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json.dump(position_groups, f, ensure_ascii=False, indent=2)
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print("\n✓ 数据分组完成，已保存到 health_data_grouped.json")
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