64 lines
2.1 KiB
Python
64 lines
2.1 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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import shutil
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from datetime import datetime
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def convert_energy_interview_status():
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"""将能源产业面试状态数据转换为系统格式"""
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# 备份原有数据
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backup_file = f"src/data/interviewStatus.json.backup_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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shutil.copy('src/data/interviewStatus.json', backup_file)
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print(f"已创建备份文件: {backup_file}")
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# 读取能源面试状态数据
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with open('网页未导入数据/能源产业/能源岗位面试状态.json', 'r', encoding='utf-8') as f:
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energy_status = json.load(f)
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# 转换数据格式
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converted_status = []
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for item in energy_status:
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# 构建阶段日期字段
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stage = item['岗位内推流程']
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time = item['流程时间'].split(' ')[0] # 取日期部分
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# 映射流程阶段名称
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stage_map = {
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'HR评估': 'HR评估',
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'面试': '面试',
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'面试结果': '面试',
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'Offer': 'Offer'
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}
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stage_name = stage_map.get(stage, stage)
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# 构建面试状态文本
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status_text = item['内容']
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# 创建转换后的记录
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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": f"{stage_name}：{time}",
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"面试状态": status_text
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}
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converted_status.append(converted_item)
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# 写入转换后的数据
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with open('src/data/interviewStatus.json', 'w', encoding='utf-8') as f:
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json.dump(converted_status, f, ensure_ascii=False, indent=2)
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print(f"已成功替换面试状态数据:")
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print(f"- 能源产业面试状态记录数: {len(converted_status)} 条")
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print(f"- 备份文件: {backup_file}")
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# 显示前5条记录
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print("\n已替换的面试状态示例:")
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for i, item in enumerate(converted_status[:5], 1):
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print(f"{i}. {item['查询岗位名称']}: {item['阶段日期']} - {item['面试状态']}")
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if __name__ == "__main__":
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convert_energy_interview_status()
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