83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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def extract_positions_from_json():
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"""从化工项目案例.json提取每个项目的适用岗位"""
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# 读取化工项目案例数据
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with open('网页未导入数据/化工产业/化工项目案例.json', 'r', encoding='utf-8') as f:
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data = json.load(f)
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# 读取化工岗位简历数据获取等级映射
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with open('网页未导入数据/化工产业/化工岗位简历.json', 'r', encoding='utf-8') as f:
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resume_data = json.load(f)
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position_levels = {}
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for item in resume_data:
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position = item.get('岗位名称', '').strip()
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level = item.get('岗位等级标签', '').strip()
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if position and level:
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position_levels[position] = level
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print('化工项目案例中的适用岗位（带等级）：')
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print('=' * 80)
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project_positions = {}
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for i, project in enumerate(data, 1):
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name = project.get('案例名称', '')
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positions_str = project.get('适用岗位', '')
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# 将岗位字符串分割成列表
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if positions_str:
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positions = [p.strip() for p in positions_str.replace('，', ',').split(',') if p.strip()]
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else:
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positions = []
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# 为每个岗位添加等级
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positions_with_level = []
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for pos in positions:
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# 查找岗位等级
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if pos in position_levels:
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level = position_levels[pos]
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else:
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# 根据岗位名称推测等级
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if '工程师' in pos:
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level = '技术骨干岗'
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elif '技术员' in pos or '操作员' in pos or '实验员' in pos:
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level = '普通岗'
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elif '助理' in pos:
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level = '储备干部岗'
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else:
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level = '技术骨干岗' # 默认
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positions_with_level.append({
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'position': pos,
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'level': level
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})
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project_positions[i] = {
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'name': name,
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'positions': positions_with_level
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}
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print(f'\n项目 {i}: {name}')
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print(f' 适用岗位 ({len(positions)}个):')
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for p in positions_with_level:
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print(f' - {p["position"]} [{p["level"]}]')
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return project_positions
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def save_positions_data():
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"""保存项目岗位数据供后续使用"""
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positions_data = extract_positions_from_json()
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with open('project_positions_from_json.json', 'w', encoding='utf-8') as f:
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json.dump(positions_data, f, ensure_ascii=False, indent=2)
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print(f'\n✅ 已保存项目岗位数据到 project_positions_from_json.json')
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return positions_data
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if __name__ == "__main__":
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save_positions_data()
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