Initial commit: 教务系统在线平台
- 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>
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frontend_大健康/update_full_questions.py
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164
frontend_大健康/update_full_questions.py
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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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print("更新完整的面试题内容...")
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# 读取大健康岗位简历数据
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/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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health_data = json.load(f)
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# 读取当前的Mock数据
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
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content = f.read()
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# 备份
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/mocks/resumeInterviewMock.js.backup_before_full_questions', 'w', encoding='utf-8') as f:
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f.write(content)
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# 读取health_mock_data.json以获取当前结构
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/health_mock_data.json', 'r', encoding='utf-8') as f:
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mock_data = json.load(f)
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# 按岗位群分组，提取完整面试题
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position_groups = {}
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for item in health_data:
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group_name = item['简历岗位群']
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if group_name not in position_groups:
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position_groups[group_name] = {
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'positions': [],
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'questions_content': item.get('面试题内容', '')
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}
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# 岗位群ID映射
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group_id_map = {
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'健康管理': 'health_management',
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'健康检查': 'health_check',
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'康复治疗': 'rehabilitation',
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'慢性病管理': 'chronic_disease',
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'轻医美': 'medical_beauty',
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'社群运营': 'community_operation',
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'心理健康': 'mental_health',
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'药品供应链管理': 'pharma_supply',
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'药品生产': 'pharma_production',
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'药品质量检测': 'pharma_quality',
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'药物研发': 'pharma_research'
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}
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# 解析面试题内容的函数
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def parse_questions(content, group_id):
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if not content:
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return []
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questions = []
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# 提取大类问题（一、二、三等）
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sections = re.findall(r'#\s*([一二三四五六七八九十]+、[^\n]+)\n(.*?)(?=#\s*[一二三四五六七八九十]+、|$)', content, re.DOTALL)
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for section_idx, (section_title, section_content) in enumerate(sections, 1):
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# 提取每个小问题和答案
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q_pattern = r'(\d+\.\s*[^\n]+)\n\s*示例答案[：:]\s*\n(.*?)(?=\d+\.|#|$)'
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sub_questions_match = re.findall(q_pattern, section_content, re.DOTALL)
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if sub_questions_match:
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subQuestions = []
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for q_idx, (question_text, answer_text) in enumerate(sub_questions_match, 1):
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# 清理问题和答案文本
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question_clean = question_text.strip()
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answer_clean = answer_text.strip()
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subQuestions.append({
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'id': f'q{q_idx}',
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'question': question_clean,
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'answer': answer_clean
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})
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if subQuestions:
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questions.append({
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'id': f"{group_id}_q{section_idx}",
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'question': section_title.strip(),
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'subQuestions': subQuestions # 包含所有问题，不限制数量
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})
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return questions
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# 更新industries中的questions
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for industry in mock_data['industries']:
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group_name = industry['name']
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if group_name in position_groups:
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questions_content = position_groups[group_name]['questions_content']
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full_questions = parse_questions(questions_content, industry['id'])
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if full_questions:
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industry['questions'] = full_questions
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print(f"✓ {group_name}: 更新了 {len(full_questions)} 个大类，共 {sum(len(q['subQuestions']) for q in full_questions)} 个问题")
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# 将更新后的数据转换为JavaScript格式
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industries_js = json.dumps(mock_data['industries'], ensure_ascii=False, indent=2)
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resumeTemplates_js = json.dumps(mock_data['resumeTemplates'], ensure_ascii=False, indent=2)
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# 创建新的Mock文件内容
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new_content = f"""// 简历与面试题Mock数据
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// 岗位群列表
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const industries = {industries_js};
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// 简历模板数据
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const resumeTemplates = {resumeTemplates_js};
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// 我的简历数据
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const myResume = {{
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personalInfo: {{
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name: "张三",
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phone: "138****8888",
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email: "zhangsan@example.com",
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age: 25,
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education: "苏州信息职业技术学院 2020.9-2023.6",
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experience: "2年",
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location: "北京"
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}},
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workExperience: [
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{{
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company: "某健康管理公司",
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position: "健康管理师",
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duration: "2022.03-2024.01",
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description: "负责健康评估和健康管理方案制定工作"
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}}
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],
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skills: ["健康评估", "健康管理", "数据分析", "客户服务"],
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projects: [
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{{
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name: "企业员工健康管理项目",
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role: "健康管理师",
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duration: "2023.05-2023.12",
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description: "负责企业员工的健康评估和管理方案制定"
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}}
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]
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}};
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// 获取页面mock数据的函数
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export function getMockPageData() {{
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return resumeInterviewMockData;
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}}
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// 导出合并的数据
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export const resumeInterviewMockData = {{
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industries,
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resumeTemplates,
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myResume
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}};
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"""
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# 写入新内容
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(new_content)
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# 保存更新后的JSON数据
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/health_mock_data_full.json', 'w', encoding='utf-8') as f:
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json.dump(mock_data, f, ensure_ascii=False, indent=2)
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print("\n✓ 面试题更新完成!")
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print(" - 已包含完整的面试题内容")
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print(" - 原文件已备份为 resumeInterviewMock.js.backup_before_full_questions")
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