cd2e307402
主要内容： - 包含12个产业的完整教务系统前端代码 - 智能启动脚本 (start-industry.sh) - 可视化产业导航页面 (index.html) - 项目文档 (README.md) 优化内容： - 删除所有node_modules和.yoyo文件夹，从7.5GB减少到2.7GB - 添加.gitignore文件避免上传不必要的文件 - 自动依赖管理和智能启动系统 产业列表： 1. 文旅产业 (5150) 2. 智能制造 (5151) 3. 智能开发 (5152) 4. 财经商贸 (5153) 5. 视觉设计 (5154) 6. 交通物流 (5155) 7. 大健康 (5156) 8. 土木水利 (5157) 9. 食品产业 (5158) 10. 化工产业 (5159) 11. 能源产业 (5160) 12. 环保产业 (5161) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
270 lines
9.0 KiB
Python
270 lines
9.0 KiB
Python
#!/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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import datetime
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import shutil
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def parse_interview_questions(content):
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"""解析面试题内容，提取问题和答案"""
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questions = []
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lines = content.split('\n')
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current_question = None
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current_answer = []
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question_id = 1
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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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# 检查是否是问题行（数字+句号开头）
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question_match = re.match(r'^(\d+)\.[\s ]+(.+)$', line)
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if question_match:
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# 保存上一个问题
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if current_question and current_answer:
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answer_text = '\n'.join(current_answer).strip()
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if answer_text:
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current_question['answer'] = answer_text
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questions.append(current_question)
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current_answer = []
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# 创建新问题
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question_text = question_match.group(2).rstrip('？?')
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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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}
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question_id += 1
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in_answer = False
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# 检查是否是答案开始标记
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elif '示例答案' in line or '答案：' in line or '答案:' in line:
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in_answer = True
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answer_in_line = re.sub(r'^.*?(示例答案|答案)[：:]?\s*', '', line).strip()
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if answer_in_line:
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current_answer.append(answer_in_line)
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# 收集答案内容
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elif in_answer and current_question and line:
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if not line.startswith('#'):
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current_answer.append(line)
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# 检查是否到达下一个部分（标题）
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elif line.startswith('#') and current_question and current_answer:
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answer_text = '\n'.join(current_answer).strip()
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if answer_text:
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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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current_answer = []
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in_answer = False
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# 保存最后一个问题
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if current_question and current_answer:
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answer_text = '\n'.join(current_answer).strip()
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if answer_text:
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current_question['answer'] = answer_text
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questions.append(current_question)
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return questions
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def generate_energy_data():
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"""生成能源产业的完整数据"""
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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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# 岗位级别映射
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level_mapping = {
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"高级": "技术骨干岗",
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"中级": "技术骨干岗",
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"普通": "普通岗",
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"": "普通岗"
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}
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# 默认头像
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default_avatars = [
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"https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/butler_position_avatar/recuPFYfYv4rBd.jpeg",
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"https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/butler_position_avatar/recuPFYfYvF54F.jpeg",
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"https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/butler_position_avatar/recuPFYfYvumAH.jpeg"
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]
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# 按岗位群分组
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groups = {}
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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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if group_name not in groups:
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groups[group_name] = {
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"positions": [],
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"questions": None,
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"templates": []
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}
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# 添加岗位信息
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position = {
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"id": f"energy_{len(groups)}_{len(groups[group_name]['positions'])+1}",
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"title": job.get("岗位名称", ""),
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"level": level_mapping.get(job.get("岗位等级标签", ""), "普通岗"),
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"avatar": job.get("简历头像url") or default_avatars[len(groups[group_name]['positions']) % 3],
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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.get('岗位名称', '')}相关工作",
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"requirements": []
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}
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groups[group_name]["positions"].append(position)
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# 添加简历模板
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template = {
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"position": job.get("岗位名称", ""),
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"level": level_mapping.get(job.get("岗位等级标签", ""), "普通岗"),
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"avatar": job.get("简历头像url") or default_avatars[0],
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"content": {
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"original": job.get("简历内容", ""),
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"modified": "" # 如果有修改版本可以在这里添加
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},
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"studentInfo": {
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"project_experience": {
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"project_name": "",
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"position": "",
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"time_period": "XXXXXX",
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"company": "XXXXXX",
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"description": ""
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},
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"core_skills": [],
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"compound_skills": [],
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"personal_summary": ""
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}
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}
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groups[group_name]["templates"].append(template)
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# 提取面试题（只提取一次）
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if not groups[group_name]["questions"] and "面试题内容" in job:
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questions = parse_interview_questions(job["面试题内容"])
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groups[group_name]["questions"] = questions
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# 生成industries数组
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industries = []
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resumeTemplates = {}
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group_id = 1
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for group_name, data in groups.items():
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# 生成industry对象
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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": data["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": data["questions"] if data["questions"] else []
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}
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]
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}
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industries.append(industry)
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# 添加到resumeTemplates
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resumeTemplates[group_name] = data["templates"]
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group_id += 1
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return industries, resumeTemplates
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def update_mock_file():
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"""更新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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# 生成新数据
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industries, resumeTemplates = generate_energy_data()
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# 生成完整的mock文件内容
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content = '''// 简历与面试题Mock数据
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// 岗位群列表
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const industries = %s;
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// 简历模板数据
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const resumeTemplates = %s;
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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: "王强",
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phone: "138****8888",
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email: "wangqiang@example.com",
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age: 22,
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education: "苏州健雄职业技术学院 2020.9-2023.6",
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experience: "应届毕业生",
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location: "苏州"
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},
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workExperience: [
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{
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company: "苏州某智能制造企业",
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position: "模具设计与制造实习生",
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duration: "2023.03-2023.06",
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description: "负责模具设计与制造相关工作"
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}
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],
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skills: ["模具设计", "机械制图", "CAD/CAM", "数控编程"],
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projects: []
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};
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export const resumeInterviewService = {
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getIndustries: async () => {
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// 模拟API调用延迟
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await new Promise((resolve) => setTimeout(resolve, 500));
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return industries;
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},
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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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export function getMockPageData() {
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return resumeInterviewMockData;
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}
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export { myResume };
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''' % (json.dumps(industries, ensure_ascii=False, indent=2),
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json.dumps(resumeTemplates, ensure_ascii=False, indent=2))
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# 写入新文件
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.write(content)
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print("✅ 成功生成能源产业mock数据")
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# 统计结果
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print("\n📊 数据统计：")
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print(f" - 岗位群数量: {len(industries)}")
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print(f" - 岗位总数: {sum(len(ind['positions']) for ind in industries)}")
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print(f" - 面试题总数: {sum(len(ind['questions'][0]['subQuestions']) for ind in industries if ind['questions'])}")
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print("\n📋 岗位群列表：")
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for ind in industries:
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q_count = len(ind['questions'][0]['subQuestions']) if ind['questions'] else 0
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print(f" - {ind['name']}: {len(ind['positions'])}个岗位, {q_count}个面试题")
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if __name__ == "__main__":
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update_mock_file()
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