cd2e307402
主要内容： - 包含12个产业的完整教务系统前端代码 - 智能启动脚本 (start-industry.sh) - 可视化产业导航页面 (index.html) - 项目文档 (README.md) 优化内容： - 删除所有node_modules和.yoyo文件夹，从7.5GB减少到2.7GB - 添加.gitignore文件避免上传不必要的文件 - 自动依赖管理和智能启动系统 产业列表： 1. 文旅产业 (5150) 2. 智能制造 (5151) 3. 智能开发 (5152) 4. 财经商贸 (5153) 5. 视觉设计 (5154) 6. 交通物流 (5155) 7. 大健康 (5156) 8. 土木水利 (5157) 9. 食品产业 (5158) 10. 化工产业 (5159) 11. 能源产业 (5160) 12. 环保产业 (5161) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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def extract_position_levels():
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"""从大健康岗位简历.json中提取岗位等级映射"""
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# 读取大健康岗位简历数据
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with open('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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resume_data = json.load(f)
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# 提取岗位名称和等级的映射
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position_level_map = {}
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for item in resume_data:
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position_name = item.get('岗位名称', '')
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level = item.get('岗位等级标签', '')
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if position_name and level:
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position_level_map[position_name] = level
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# 打印映射关系
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print("大健康产业岗位等级映射：")
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print("=" * 50)
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# 按等级分组显示
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levels = {}
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for position, level in position_level_map.items():
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if level not in levels:
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levels[level] = []
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levels[level].append(position)
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for level in ['基础岗', '技术骨干岗', '储备干部岗']:
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if level in levels:
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print(f"\n{level}（{len(levels[level])}个岗位）：")
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for position in sorted(levels[level]):
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print(f" - {position}")
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# 保存映射为JSON文件
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with open('position_level_mapping.json', 'w', encoding='utf-8') as f:
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json.dump(position_level_map, f, ensure_ascii=False, indent=2)
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print("\n\n岗位等级映射已保存到 position_level_mapping.json")
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print(f"总计 {len(position_level_map)} 个岗位")
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return position_level_map
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if __name__ == "__main__":
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mapping = extract_position_levels() |