31 lines
1.0 KiB
Python
31 lines
1.0 KiB
Python
|
#!/usr/bin/env python3
|
|||
|
|
# -*- coding: utf-8 -*-
|
|||
|
|
|
|||
|
|
import json
|
|||
|
|
|
|||
|
|
# 读取大健康岗位面试状态数据
|
|||
|
|
with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/网页未导入数据/大健康产业/大健康岗位面试状态.json', 'r', encoding='utf-8') as f:
|
|||
|
|
health_status = json.load(f)
|
|||
|
|
|
|||
|
|
# 转换数据格式
|
|||
|
|
converted_status = []
|
|||
|
|
for item in health_status:
|
|||
|
|
# 构建阶段日期字符串
|
|||
|
|
stage_date = f"{item['流程标签']}：{item['流程时间']}"
|
|||
|
|
|
|||
|
|
# 构建面试状态字符串
|
|||
|
|
interview_status = item['内容']
|
|||
|
|
|
|||
|
|
converted_status.append({
|
|||
|
|
"查询岗位名称": item["查询岗位名称"],
|
|||
|
|
"阶段日期": stage_date,
|
|||
|
|
"面试状态": interview_status
|
|||
|
|
})
|
|||
|
|
|
|||
|
|
# 保存转换后的数据
|
|||
|
|
output_path = 'src/data/interviewStatus.json'
|
|||
|
|
with open(output_path, 'w', encoding='utf-8') as f:
|
|||
|
|
json.dump(converted_status, f, ensure_ascii=False, indent=2)
|
|||
|
|
|
|||
|
|
print(f"✅ 成功转换 {len(converted_status)} 条面试状态数据")
|
|||
|
|
print(f"✅ 已保存到 {output_path}")
|