52 lines
1.9 KiB
Python
52 lines
1.9 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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# 读取全产业岗位面试状态数据
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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:
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all_industry_data = json.load(f)
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# 提取视觉设计产业的数据
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visual_design_data = [item for item in all_industry_data if item['所属产业'] == '视觉设计']
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# 转换为目标格式
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converted_data = []
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for item in visual_design_data:
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# 解析阶段和时间
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stage_parts = item['流程时间'].split(' ')
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date_part = stage_parts[0] if stage_parts else '2025/9/1'
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time_part = ' '.join(stage_parts[1:]) if len(stage_parts) > 1 else '10:00'
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# 构造阶段日期文本
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stage_date = f"{item['流程标签']}：{item['流程时间']}"
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# 构造面试状态文本
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if item['流程标签'] == '简历未通过':
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status_text = '岗位内推结束'
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elif item['流程标签'] == '面试日期已过':
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status_text = '岗位内推结束'
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elif item['流程标签'] == '面试未通过':
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status_text = '岗位内推结束'
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elif item['流程标签'] == 'Offer已拒绝':
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status_text = '岗位内推结束'
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elif item['流程标签'] == 'Offer已接收':
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status_text = '岗位内推结束'
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elif item['流程标签'] == '面试日期':
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status_text = '等待面试，预计1天内开始'
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else:
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status_text = '等待HR反馈，预计2天内有结果'
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converted_data.append({
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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": stage_date,
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"面试状态": status_text
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})
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# 写入新的interviewStatus.json文件
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output_file = 'src/data/interviewStatus.json'
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with open(output_file, 'w', encoding='utf-8') as f:
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json.dump(converted_data, fp=f, ensure_ascii=False, indent=2)
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print(f"已成功更新 {output_file}")
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print(f"共处理 {len(converted_data)} 条视觉设计产业的岗位面试状态数据")
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