73 lines
2.7 KiB
Python
73 lines
2.7 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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def convert_interview_status():
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# 读取土木水利岗位面试状态数据
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with open('网页未导入数据/土木水利产业/土木水利岗位面试状态.json', 'r', encoding='utf-8') as f:
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civil_interview_data = json.load(f)
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print(f"土木水利面试状态数量: {len(civil_interview_data)}")
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# 字段映射和状态转换
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converted_interviews = []
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# 状态映射表
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status_mapping = {
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"Offer已接收": "已收到Offer，请于2天内答复",
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"面试完成": "等待面试结果，预计3天内有结果",
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"简历接收": "简历初筛中，预计2天内有结果",
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"面试日期已过": "面试日期已确定，等待面试",
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"面试未通过": "面试未通过，岗位内推结束",
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"HR评估完成": "HR初筛未通过",
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"复试完成": "复试已完成，等待终面结果",
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"终面完成": "终面已完成，等待最终结果"
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}
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for item in civil_interview_data:
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# 提取和转换字段
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position_name = item.get("查询岗位名称", "")
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flow_time = item.get("流程时间", "")
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flow_label = item.get("流程标签", "")
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# 构建阶段日期字段
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stage_date = ""
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if "Offer" in flow_label:
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stage_date = f"收到Offer：{flow_time}"
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elif "面试" in flow_label:
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if "完成" in flow_label or "已过" in flow_label:
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stage_date = f"面试结果：{flow_time}"
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else:
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stage_date = f"面试日期：{flow_time}"
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elif "简历" in flow_label or "HR" in flow_label:
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stage_date = f"简历筛选：{flow_time}"
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else:
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stage_date = f"状态更新：{flow_time}"
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# 获取面试状态描述
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interview_status = status_mapping.get(flow_label, item.get("内容", "处理中"))
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converted_interview = {
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"查询岗位名称": position_name,
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"阶段日期": stage_date,
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"面试状态": interview_status
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}
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converted_interviews.append(converted_interview)
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print(f"转换后的面试状态数量: {len(converted_interviews)}")
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# 保存转换后的数据
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with open('src/data/interviewStatus.json', 'w', encoding='utf-8') as f:
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json.dump(converted_interviews, f, ensure_ascii=False, indent=2)
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print("✅ 岗位面试状态数据替换完成")
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# 显示前几个状态信息
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print("\n前5个面试状态:")
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for i, status in enumerate(converted_interviews[:5]):
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print(f"{i+1}. {status['查询岗位名称']} - {status['面试状态']}")
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if __name__ == "__main__":
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convert_interview_status()
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