a7242f0c69
- 包含4个产业方向的前端项目：智能开发、智能制造、大健康、财经商贸 - 已清理node_modules、.yoyo等大文件，项目大小从2.6GB优化至631MB - 配置完善的.gitignore文件 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
88 lines
3.3 KiB
Python
88 lines
3.3 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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import os
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print("替换岗位面试状态数据...")
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# 读取全产业面试状态数据
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/网页未导入数据/岗位面试状态（全产业）.json', 'r', encoding='utf-8') as f:
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all_status_data = json.load(f)
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# 筛选大健康产业的数据
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health_status_data = [item for item in all_status_data if item['所属产业'] == '大健康']
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# 转换为前端需要的格式
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converted_data = []
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for item in health_status_data:
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# 根据流程标签和内容确定面试状态显示文本
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status_text = item['内容']
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# 组装阶段日期信息
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stage_date = f"{item['流程标签']}：{item['流程时间']}"
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converted_item = {
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"查询岗位名称": item['查询岗位名称'],
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"阶段日期": stage_date,
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"面试状态": status_text
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}
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converted_data.append(converted_item)
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print(f"筛选出 {len(converted_data)} 条大健康产业的面试状态数据")
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# 备份原文件
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original_file = '/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/data/interviewStatus.json'
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backup_file = '/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/data/interviewStatus.json.backup_before_health_replace'
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with open(original_file, 'r', encoding='utf-8') as f:
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original_content = f.read()
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with open(backup_file, 'w', encoding='utf-8') as f:
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f.write(original_content)
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print(f"原文件已备份为: {backup_file}")
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# 写入新数据
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with open(original_file, 'w', encoding='utf-8') as f:
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json.dump(converted_data, f, ensure_ascii=False, indent=2)
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print("✓ 面试状态数据替换完成!")
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# 处理状态图片文件
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status_images_map = {
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"简历筛选未通过": "1-off_初筛未通过.json",
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"面试未通过": "2-off_面试未通过.json",
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"未参与面试": "3-off_未参与面试.json",
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"Offer已拒绝": "4-off_拒绝Offer.json",
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"Offer已接收": "4-on_收到Offer.json",
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"已收到Offer": "4-on_收到Offer.json"
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}
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# 创建状态图片映射配置
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public_images_dir = '/Users/apple/Documents/cursor/教务系统/frontend_大健康/public/images/interview-status/'
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status_files_dir = '/Users/apple/Documents/cursor/教务系统/frontend_大健康/网页未导入数据/岗位面试状态/'
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# 确保目标目录存在
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os.makedirs(public_images_dir, exist_ok=True)
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print("\n处理状态展开内容文件...")
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# 为每个状态创建对应的展开内容JSON文件
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status_details_map = {}
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for status_key, json_filename in status_images_map.items():
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json_path = os.path.join(status_files_dir, json_filename)
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if os.path.exists(json_path):
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with open(json_path, 'r', encoding='utf-8') as f:
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status_details_map[status_key] = json.load(f)
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print(f"✓ 读取状态详情文件: {json_filename}")
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# 创建一个合并的状态详情文件
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merged_status_file = '/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/data/interviewStatusDetails.json'
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with open(merged_status_file, 'w', encoding='utf-8') as f:
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json.dump(status_details_map, f, ensure_ascii=False, indent=2)
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print(f"\n✓ 创建合并的状态详情文件: interviewStatusDetails.json")
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print("\n面试状态数据替换完成！")
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print("注意：状态图片文件需要手动复制到 public/images/interview-status/ 目录") |