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>
101 lines
3.4 KiB
Python
101 lines
3.4 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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from datetime import datetime
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# 读取岗位等级数据
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def load_job_levels():
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with open('网页未导入数据/文旅产业/岗位等级.json', 'r', encoding='utf-8') as f:
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data = json.load(f)
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# 创建岗位名称到等级的映射
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job_levels_map = {}
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for item in data:
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job_name = item['❌岗位名称']
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level = item['前端查询名称']
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job_levels_map[job_name] = level
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return job_levels_map
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# 读取当前的joblevel.json
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def load_current_joblevel():
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with open('src/data/joblevel.json', 'r', encoding='utf-8') as f:
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return json.load(f)
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# 重新整理joblevel.json
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def reorganize_joblevel():
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# 备份原文件
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backup_path = f'src/data/joblevel.json.backup_{datetime.now().strftime("%Y%m%d_%H%M%S")}'
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with open('src/data/joblevel.json', 'r', encoding='utf-8') as f:
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original_data = json.load(f)
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with open(backup_path, 'w', encoding='utf-8') as f:
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json.dump(original_data, f, ensure_ascii=False, indent=4)
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print(f"已备份: {backup_path}")
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# 加载岗位等级映射
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job_levels_map = load_job_levels()
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# 收集所有岗位信息
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all_positions = []
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for level_key, level_data in original_data['data'].items():
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for position in level_data['list']:
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all_positions.append(position)
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# 按新的等级重新分组
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new_data = {
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"code": 200,
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"message": "操作成功",
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"data": {
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"high": {
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"name": "储备干部岗",
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"list": []
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},
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"middle": {
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"name": "技术骨干岗",
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"list": []
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},
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"ordinary": {
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"name": "普通岗",
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"list": []
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}
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}
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}
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# 分配岗位到正确的等级
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unmatched_positions = []
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for position in all_positions:
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position_name = position['position_name']
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if position_name in job_levels_map:
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level = job_levels_map[position_name]
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if level == "储备干部岗":
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new_data['data']['high']['list'].append(position)
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elif level == "技术骨干岗":
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new_data['data']['middle']['list'].append(position)
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elif level == "普通岗":
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new_data['data']['ordinary']['list'].append(position)
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print(f"分配: {position_name} -> {level}")
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else:
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# 对于未匹配的岗位，保持原有等级或默认为普通岗
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unmatched_positions.append(position)
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print(f"未找到匹配: {position_name}")
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# 将未匹配的岗位添加到普通岗
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for position in unmatched_positions:
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new_data['data']['ordinary']['list'].append(position)
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print(f"默认分配到普通岗: {position['position_name']}")
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# 写回文件
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with open('src/data/joblevel.json', 'w', encoding='utf-8') as f:
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json.dump(new_data, f, ensure_ascii=False, indent=4)
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# 统计结果
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print("\n" + "=" * 50)
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print("重新整理完成！")
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print(f"储备干部岗: {len(new_data['data']['high']['list'])} 个岗位")
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print(f"技术骨干岗: {len(new_data['data']['middle']['list'])} 个岗位")
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print(f"普通岗: {len(new_data['data']['ordinary']['list'])} 个岗位")
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print("=" * 50)
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if __name__ == "__main__":
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reorganize_joblevel() |