60 lines
2.1 KiB
Python
60 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 fix_interview_status_format():
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"""修正面试状态显示格式：使用"岗位内推流程"和冒号分隔符"""
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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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# 获取字段值
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position_name = item['查询岗位名称']
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process = item['岗位内推流程'] # 使用"岗位内推流程"而不是"流程标签"
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flow_time = item['流程时间']
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content = item['内容']
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# 构建显示格式：岗位内推流程：时间
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stage_date_str = f"{process}：{flow_time}"
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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": position_name,
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"阶段日期": stage_date_str,
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"面试状态": content,
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"岗位内推流程": process, # 保存流程字段
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"流程时间": flow_time # 保留完整时间
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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"已成功更新面试状态数据格式:")
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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已更新的面试状态示例:")
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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']}:")
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print(f" 阶段日期: {item['阶段日期']}")
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print(f" 面试状态: {item['面试状态']}")
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if __name__ == "__main__":
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fix_interview_status_format()
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