49 lines
1.7 KiB
Python
49 lines
1.7 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 extract_energy_questions():
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"""
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提取能源产业相关的面试题
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"""
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# 读取面试题文件
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with open("网页未导入数据/岗位群面试题（全产业）.json", 'r', encoding='utf-8') as f:
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data = json.load(f)
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# 能源产业相关的岗位群（基于能源岗位简历.json中的岗位群）
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energy_job_groups = [
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"EHS体系", "变电站运维", "配电网运维", "储能系统运维",
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"光伏系统运维", "风力发电运维", "电力系统调度",
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"能源数据分析", "碳排放管理"
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]
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# 查找匹配的面试题
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energy_questions = []
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found_groups = set()
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for item in data:
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job_group = item.get("简历岗位群", "")
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# 检查是否为能源相关岗位群
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for energy_group in energy_job_groups:
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if energy_group in job_group or job_group in energy_group:
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energy_questions.append(item)
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found_groups.add(job_group)
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break
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print(f"✅ 找到 {len(energy_questions)} 个能源产业相关的面试题")
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print(f"📋 涵盖的岗位群：{found_groups}")
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# 如果没有找到能源相关的，查看所有岗位群名称
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if len(energy_questions) == 0:
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all_groups = set()
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for item in data:
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all_groups.add(item.get("简历岗位群", ""))
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print(f"\n📝 所有岗位群列表（前20个）：")
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for i, group in enumerate(list(all_groups)[:20]):
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print(f" {i+1}. {group}")
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return energy_questions
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if __name__ == "__main__":
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questions = extract_energy_questions()
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