a7242f0c69
- 包含4个产业方向的前端项目：智能开发、智能制造、大健康、财经商贸 - 已清理node_modules、.yoyo等大文件，项目大小从2.6GB优化至631MB - 配置完善的.gitignore文件 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
171 lines
6.2 KiB
Python
171 lines
6.2 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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重新组织面试题数据 - 只修改数据，不修改代码结构
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将各个position的questions合并到对应industry的questions字段
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"""
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import json
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import re
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from datetime import datetime
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def load_health_resume_data():
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"""加载大健康岗位简历数据"""
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try:
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with open('网页未导入数据/大健康产业/大健康岗位简历.json', 'r', encoding='utf-8') as f:
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return json.load(f)
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except Exception as e:
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print(f"Error loading health resume data: {e}")
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return None
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def parse_interview_content_to_flat_array(content):
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"""解析面试题内容，转换为扁平的问答数组"""
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if not content:
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return []
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questions = []
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# 按大标题分割（# 一、二、三等）
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if content.startswith('# '):
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content = '\n' + content
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sections = re.split(r'\n# ([一二三四五六七八九十]+、[^#\n]+)', content)
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if len(sections) < 2:
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return []
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question_counter = 1
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for i in range(1, len(sections), 2):
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if i + 1 < len(sections):
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section_title = sections[i].strip()
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section_content = sections[i + 1].strip()
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# 按问题编号分割 (1. 2. 3. 等)
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question_parts = re.split(r'\n\s*(\d+\.)?\s*', section_content)
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for j in range(1, len(question_parts)):
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if j >= len(question_parts) or question_parts[j] is None:
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continue
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question_block = str(question_parts[j]).strip()
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if not question_block or question_block.endswith('.'):
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continue
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# 提取问题和答案
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lines = question_block.split('\n')
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question_text = ""
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answer_text = ""
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in_answer = False
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for line in lines:
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line = line.strip()
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if line.startswith('示例答案：'):
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in_answer = True
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continue
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if not in_answer and line and not line.startswith('示例答案：'):
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if question_text:
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question_text += " "
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question_text += line
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elif in_answer and line:
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if answer_text:
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answer_text += " "
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answer_text += line
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if question_text:
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questions.append({
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"id": f"q{question_counter}",
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"question": question_text,
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"answer": answer_text
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})
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question_counter += 1
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return questions
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def reorganize_questions_by_industry():
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"""重新组织面试题数据"""
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try:
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# 加载大健康数据
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health_data = load_health_resume_data()
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if not health_data:
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print("Failed to load health resume data")
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return False
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# 按面试题类别分组
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category_questions = {}
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for item in health_data:
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category = item.get('面试题', '')
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interview_content = item.get('面试题内容', '')
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if category and interview_content and category not in category_questions:
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questions = parse_interview_content_to_flat_array(interview_content)
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if questions:
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category_questions[category] = questions
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print(f"解析了 {len(category_questions)} 个面试题类别")
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# 读取现有文件
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with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
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content = f.read()
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# 创建备份
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backup_filename = f'src/mocks/resumeInterviewMock.js.backup_{datetime.now().strftime("%Y%m%d_%H%M%S")}'
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with open(backup_filename, 'w', encoding='utf-8') as f:
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f.write(content)
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print(f"已创建备份文件: {backup_filename}")
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updated_content = content
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# 首先移除所有position级别的questions字段
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updated_content = re.sub(
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r',?\s*"questions": \[[^\]]*?\](?:\s*,\s*)?',
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'',
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updated_content,
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flags=re.DOTALL
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)
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# 映射关系：行业名称 -> 面试题类别
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industry_category_mapping = {
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"健康管理": "健康管理类岗位面试题",
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"健康检查": "健康检查类岗位面试题",
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"康复治疗": "康复治疗类岗位面试题",
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"医疗美容": "医疗美容类岗位面试题",
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"运营管理": "运营类岗位面试题",
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"心理健康": "心理健康类岗位面试题",
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"供应链管理": "供应链类岗位面试题",
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"药品制造": "药品制造类岗位面试题",
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"检测分析": "检测分析类岗位面试题",
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"临床研究": "临床研究类岗位面试题"
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}
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# 为每个行业添加对应的面试题
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for industry_name, category in industry_category_mapping.items():
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if category in category_questions:
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questions_data = category_questions[category]
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questions_json = json.dumps(questions_data, ensure_ascii=False, indent=6)
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# 查找对应行业并添加questions字段
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pattern = rf'("name": "{re.escape(industry_name)}"[^}}]*?"positions": \[[^\]]*?\]\s*)'
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replacement = r'\1,\n "questions": ' + questions_json
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updated_content = re.sub(
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pattern,
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replacement,
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updated_content,
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flags=re.DOTALL
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)
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print(f"✅ 为 {industry_name} 行业添加了面试题 ({len(questions_data)} 个问题)")
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# 写回文件
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(updated_content)
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print("面试题数据重组完成！")
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return True
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except Exception as e:
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print(f"重组失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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if __name__ == "__main__":
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reorganize_questions_by_industry() |