77 lines
2.9 KiB
Python
77 lines
2.9 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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替换企业内推岗位数据
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将能源产业的内推岗位数据替换到companyJobsData.json中
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"""
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import json
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import os
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from datetime import datetime
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def main():
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# 读取能源产业内推岗位数据
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energy_data_path = '网页未导入数据/能源产业/能源内推岗位.json'
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target_path = 'src/mocks/companyJobsData.json'
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# 创建备份
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backup_path = f'{target_path}.backup_{datetime.now().strftime("%Y%m%d_%H%M%S")}'
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print(f"读取能源产业数据: {energy_data_path}")
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with open(energy_data_path, 'r', encoding='utf-8') as f:
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energy_jobs = json.load(f)
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print(f"共读取到 {len(energy_jobs)} 个岗位")
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# 如果目标文件存在，先备份
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if os.path.exists(target_path):
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print(f"备份原文件到: {backup_path}")
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with open(target_path, 'r', encoding='utf-8') as f:
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original_data = f.read()
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with open(backup_path, 'w', encoding='utf-8') as f:
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f.write(original_data)
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# 处理能源数据，确保字段完整
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processed_jobs = []
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for job in energy_jobs:
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# 添加必要的字段映射
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processed_job = {
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"内推岗位名称": job.get("内推岗位名称", ""),
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"就业管家课程": "能源", # 标记为能源产业
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"薪资": job.get("薪资", ""),
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"工作地点": job.get("工作地点", ""),
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"学历要求": job.get("学历要求", ""),
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"招聘人数": job.get("招聘人数", ""),
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"职位标签": job.get("职位标签", []),
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"职位描述": job.get("职位描述", ""),
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"任职要求": job.get("任职要求", ""),
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"公司介绍": job.get("公司介绍", ""),
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"岗位标签": "就业", # 统一标记
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"岗位相关标签": job.get("岗位相关标签", "专业相关岗位"),
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"福利标签": job.get("福利标签", []),
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"截止时间": job.get("岗位招聘截止时间", "2025/12/31")
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}
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processed_jobs.append(processed_job)
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# 写入新数据
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print(f"写入 {len(processed_jobs)} 个岗位到: {target_path}")
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with open(target_path, 'w', encoding='utf-8') as f:
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json.dump(processed_jobs, f, ensure_ascii=False, indent=2)
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print("✅ 数据替换完成!")
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print(f"- 原文件已备份: {backup_path}")
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print(f"- 新数据已写入: {target_path}")
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print(f"- 共替换 {len(processed_jobs)} 个能源产业岗位")
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# 验证数据
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with open(target_path, 'r', encoding='utf-8') as f:
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verify_data = json.load(f)
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print(f"✅ 验证: 文件包含 {len(verify_data)} 个岗位")
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# 显示前3个岗位名称作为验证
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print("\n前3个岗位:")
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for i, job in enumerate(verify_data[:3]):
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print(f" {i+1}. {job['内推岗位名称']} - {job['工作地点']} - {job['薪资']}")
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if __name__ == "__main__":
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main()
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