59 lines
2.2 KiB
Python
59 lines
2.2 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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import shutil
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from datetime import datetime
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def replace_with_energy_jobs():
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"""将岗位数据替换为能源产业岗位"""
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# 备份原有数据
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backup_file = f"src/data/companyJobsNew.json.backup_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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shutil.copy('src/data/companyJobsNew.json', backup_file)
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print(f"已创建备份文件: {backup_file}")
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# 读取能源岗位数据
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with open('网页未导入数据/能源产业/能源内推岗位.json', 'r', encoding='utf-8') as f:
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energy_jobs = json.load(f)
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# 转换数据格式，映射字段名称
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converted_jobs = []
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for job in energy_jobs:
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# 判断岗位标签类型
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position_tag = "就业" # 默认为就业
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if "实习" in job.get('内推岗位名称', '') or "助理" in job.get('内推岗位名称', ''):
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position_tag = "实习"
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converted_job = {
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"内推岗位名称": job['内推岗位名称'],
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"岗位相关标签": job['岗位相关标签'],
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"岗位标签": position_tag,
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"薪资": job['薪资'],
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"工作地点": job['工作地点'],
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"学历要求": job['学历要求'],
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"招聘人数": job['招聘人数'],
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"截止时间": job['岗位招聘截止时间'], # 字段名映射
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"职位标签": job['职位标签'],
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"福利标签": job['福利标签'],
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"职位描述": job['职位描述'],
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"任职要求": job['任职要求'],
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"公司介绍": job['公司介绍']
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}
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converted_jobs.append(converted_job)
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# 写入转换后的数据
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with open('src/data/companyJobsNew.json', 'w', encoding='utf-8') as f:
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json.dump(converted_jobs, f, ensure_ascii=False, indent=2)
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print(f"已成功替换岗位数据:")
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print(f"- 能源产业岗位数: {len(converted_jobs)} 个")
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print(f"- 备份文件: {backup_file}")
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# 显示前5个岗位
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print("\n已替换的岗位示例:")
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for i, job in enumerate(converted_jobs[:5], 1):
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print(f"{i}. {job['内推岗位名称']}: {job['薪资']} - {job['工作地点']} ({job['岗位标签']})")
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if __name__ == "__main__":
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replace_with_energy_jobs()
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