cd2e307402
主要内容： - 包含12个产业的完整教务系统前端代码 - 智能启动脚本 (start-industry.sh) - 可视化产业导航页面 (index.html) - 项目文档 (README.md) 优化内容： - 删除所有node_modules和.yoyo文件夹，从7.5GB减少到2.7GB - 添加.gitignore文件避免上传不必要的文件 - 自动依赖管理和智能启动系统 产业列表： 1. 文旅产业 (5150) 2. 智能制造 (5151) 3. 智能开发 (5152) 4. 财经商贸 (5153) 5. 视觉设计 (5154) 6. 交通物流 (5155) 7. 大健康 (5156) 8. 土木水利 (5157) 9. 食品产业 (5158) 10. 化工产业 (5159) 11. 能源产业 (5160) 12. 环保产业 (5161) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
77 lines
2.9 KiB
Python
77 lines
2.9 KiB
Python
#!/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() |