82 lines
2.6 KiB
Python
82 lines
2.6 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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from collections import defaultdict
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def extract_job_groups():
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"""
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从能源岗位简历.json提取所有岗位群并生成面试题数据结构
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"""
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# 读取能源岗位简历数据
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with open("网页未导入数据/能源产业/能源岗位简历.json", 'r', encoding='utf-8') as f:
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energy_jobs = json.load(f)
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# 按岗位群分组
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job_groups = defaultdict(list)
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for job in energy_jobs:
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group_name = job.get("简历岗位群", "")
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if group_name:
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job_groups[group_name].append(job)
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# 生成industries数据结构
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industries = []
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group_id = 1
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for group_name, jobs in job_groups.items():
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industry = {
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"id": f"energy_{group_id}",
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"name": group_name,
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"positions": [],
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"questions": [
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{
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"id": f"group_q{group_id}",
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"question": f"# {group_name}面试题",
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"subQuestions": []
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}
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]
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}
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# 添加该岗位群下的所有岗位
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pos_id = 1
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for job in jobs:
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position = {
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"id": f"energy_{group_id}_{pos_id}",
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"title": job["岗位名称"],
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"level": job.get("岗位等级标签", "基础岗"),
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"avatar": job.get("岗位头像", ""),
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"department": group_name,
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"type": "全职",
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"experience": "1-3年",
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"education": "大专",
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"salary": "8-15K",
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"location": "北京",
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"updateTime": "2024-01-20",
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"description": f"负责{job['岗位名称']}相关工作",
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"requirements": []
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}
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industry["positions"].append(position)
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pos_id += 1
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industries.append(industry)
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group_id += 1
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# 输出统计信息
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print(f"✅ 找到 {len(job_groups)} 个岗位群")
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print("📋 岗位群列表：")
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for i, (group_name, jobs) in enumerate(job_groups.items(), 1):
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print(f" {i}. {group_name} ({len(jobs)}个岗位)")
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# 保存到文件
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with open("energy_industries_data.js", 'w', encoding='utf-8') as f:
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f.write("// 能源产业岗位群数据\n")
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f.write("const industries = ")
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f.write(json.dumps(industries, ensure_ascii=False, indent=2))
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f.write(";\n\nexport default industries;")
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print(f"\n✅ 数据已保存到 energy_industries_data.js")
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return industries
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if __name__ == "__main__":
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extract_job_groups()
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