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>
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() |