121 lines
4.1 KiB
Python
121 lines
4.1 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 re
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from collections import defaultdict
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import datetime
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import shutil
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def parse_interview_questions(content):
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"""
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解析面试题内容，提取问题和答案
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"""
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questions = []
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# 按段落分割内容
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sections = content.split('\n\n')
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question_id = 1
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current_question = None
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for section in sections:
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section = section.strip()
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if not section:
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continue
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# 跳过标题行（以#开头）
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if section.startswith('#'):
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continue
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# 检查是否是问题（通常是数字开头或包含"？"）
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if re.match(r'^\d+\.', section) or '？' in section:
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# 提取问题文本
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question_text = re.sub(r'^\d+\.\s*', '', section).strip()
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current_question = {
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'id': f'q{question_id}',
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'question': question_text,
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'answer': '',
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'difficulty': '中等',
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'tags': []
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}
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question_id += 1
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elif current_question and (section.startswith('示例答案') or section.startswith('答案')):
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# 提取答案
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answer_text = re.sub(r'^(示例答案|答案)[：:]?\s*', '', section).strip()
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current_question['answer'] = answer_text
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questions.append(current_question)
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current_question = None
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return questions
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def extract_and_update_interview_questions():
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"""
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从能源岗位简历.json提取面试题并更新mock文件
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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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# 按岗位群分组并提取面试题
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job_groups = defaultdict(list)
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interview_questions = {}
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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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# 提取面试题内容
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if "面试题内容" in job and group_name not in interview_questions:
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questions = parse_interview_questions(job["面试题内容"])
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if questions:
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interview_questions[group_name] = questions[:5] # 每个岗位群取前5个问题
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# 读取mock文件
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mock_file = "src/mocks/resumeInterviewMock.js"
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# 备份文件
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backup_path = f"{mock_file}.backup_{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}"
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shutil.copy(mock_file, backup_path)
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print(f"✅ 已备份文件到：{backup_path}")
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# 读取文件内容
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with open(mock_file, 'r', encoding='utf-8') as f:
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content = f.read()
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# 查找并替换每个岗位群的questions
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import re
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# 分析content，找到industries数组
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industries_match = re.search(r'const industries = (\[[\s\S]*?\]);', content)
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if industries_match:
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industries_str = industries_match.group(1)
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industries = json.loads(industries_str)
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# 更新每个岗位群的questions
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for industry in industries:
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group_name = industry.get("name", "")
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if group_name in interview_questions:
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# 更新subQuestions
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for question_obj in industry.get("questions", []):
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question_obj["subQuestions"] = interview_questions[group_name]
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# 将更新后的industries转回字符串
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new_industries_str = json.dumps(industries, ensure_ascii=False, indent=2)
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new_content = content[:industries_match.start(1)] + new_industries_str + content[industries_match.end(1):]
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# 写回文件
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.write(new_content)
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print("✅ 成功更新面试题数据")
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print("\n📊 更新的岗位群面试题：")
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for group_name, questions in interview_questions.items():
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print(f" - {group_name}: {len(questions)}个问题")
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else:
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print("❌ 未找到industries数组")
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if __name__ == "__main__":
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extract_and_update_interview_questions()
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