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