69 lines
2.5 KiB
Python
69 lines
2.5 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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将土木水利产业的岗位数据（带企业图片）合并到companyJobsData.json
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"""
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import json
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import os
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# 文件路径
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COMPANY_JOBS_DATA_PATH = "src/mocks/companyJobsData.json"
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CIVIL_JOBS_PATH = "网页未导入数据/土木水利产业/土木水利内推岗位.json"
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COMPANY_IMAGES_DATA_PATH = "网页未导入数据/土木水利产业/土木水利_内推岗位企业图片.json"
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def main():
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# 读取企业图片数据
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with open(COMPANY_IMAGES_DATA_PATH, 'r', encoding='utf-8') as f:
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company_images_data = json.load(f)
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# 创建岗位名称到图片URL的映射
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image_map = {}
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for item in company_images_data:
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position_name = item.get("内推岗位名称")
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image_urls = item.get("BOSS照片链接", "")
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if position_name and image_urls:
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image_map[position_name] = image_urls
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print(f"✓ 读取到 {len(image_map)} 个岗位的企业图片数据")
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# 读取土木水利岗位数据
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with open(CIVIL_JOBS_PATH, 'r', encoding='utf-8') as f:
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civil_jobs_data = json.load(f)
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print(f"✓ 读取到 {len(civil_jobs_data)} 个土木水利岗位")
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# 为土木水利岗位添加企业图片字段
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updated_count = 0
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for job in civil_jobs_data:
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position_name = job.get("内推岗位名称")
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if position_name and position_name in image_map:
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job["BOSS照片链接"] = image_map[position_name]
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updated_count += 1
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print(f" ✓ {position_name} - 已添加企业图片")
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print(f"\n✓ 为 {updated_count}/{len(civil_jobs_data)} 个土木水利岗位添加了企业图片")
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# 读取现有的岗位数据
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with open(COMPANY_JOBS_DATA_PATH, 'r', encoding='utf-8') as f:
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existing_jobs_data = json.load(f)
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print(f"✓ 当前文件中有 {len(existing_jobs_data)} 个岗位")
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# 合并数据（添加土木水利岗位到现有数据）
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merged_data = existing_jobs_data + civil_jobs_data
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print(f"✓ 合并后共 {len(merged_data)} 个岗位")
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# 写回文件
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with open(COMPANY_JOBS_DATA_PATH, 'w', encoding='utf-8') as f:
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json.dump(merged_data, f, ensure_ascii=False, indent=2)
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print(f"\n✅ 数据已成功写入: {COMPANY_JOBS_DATA_PATH}")
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print(f" - 文旅产业岗位: {len(existing_jobs_data)} 个")
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print(f" - 土木水利产业岗位: {len(civil_jobs_data)} 个")
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print(f" - 其中带企业图片: {updated_count} 个")
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if __name__ == "__main__":
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main()
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