#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import json

# 读取全产业岗位面试状态数据
with open('网页未导入数据/岗位面试状态（全产业）.json', 'r', encoding='utf-8') as f:
    all_industry_data = json.load(f)

# 提取视觉设计产业的数据
visual_design_data = [item for item in all_industry_data if item['所属产业'] == '视觉设计']

# 转换为目标格式
converted_data = []
for item in visual_design_data:
    # 解析阶段和时间
    stage_parts = item['流程时间'].split(' ')
    date_part = stage_parts[0] if stage_parts else '2025/9/1'
    time_part = ' '.join(stage_parts[1:]) if len(stage_parts) > 1 else '10:00'
    
    # 构造阶段日期文本
    stage_date = f"{item['流程标签']}：{item['流程时间']}"
    
    # 构造面试状态文本
    if item['流程标签'] == '简历未通过':
        status_text = '岗位内推结束'
    elif item['流程标签'] == '面试日期已过':
        status_text = '岗位内推结束'
    elif item['流程标签'] == '面试未通过':
        status_text = '岗位内推结束'
    elif item['流程标签'] == 'Offer已拒绝':
        status_text = '岗位内推结束'
    elif item['流程标签'] == 'Offer已接收':
        status_text = '岗位内推结束'
    elif item['流程标签'] == '面试日期':
        status_text = '等待面试，预计1天内开始'
    else:
        status_text = '等待HR反馈，预计2天内有结果'
    
    converted_data.append({
        "查询岗位名称": item['查询岗位名称'],
        "阶段日期": stage_date,
        "面试状态": status_text
    })

# 写入新的interviewStatus.json文件
output_file = 'src/data/interviewStatus.json'
with open(output_file, 'w', encoding='utf-8') as f:
    json.dump(converted_data, fp=f, ensure_ascii=False, indent=2)

print(f"已成功更新 {output_file}")
print(f"共处理 {len(converted_data)} 条视觉设计产业的岗位面试状态数据")