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>
250 lines
9.2 KiB
Python
250 lines
9.2 KiB
Python
#!/usr/bin/env python3
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import json
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import re
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import os
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from datetime import datetime
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# 读取视觉设计岗位简历.json文件获取所有面试题
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json_file = '网页未导入数据/视觉设计产业/视觉设计岗位简历.json'
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mock_file = 'src/mocks/resumeInterviewMock.js'
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print("正在读取所有产业的面试题和答案...")
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with open(json_file, 'r', encoding='utf-8') as f:
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positions_data = json.load(f)
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# 创建产业到面试题的映射
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industry_questions = {}
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# 产业名称映射
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industry_map = {
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"UI设计师": "UI设计",
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"包装设计师": "包装设计",
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"插画师": "插画设计",
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"影视灯光": "灯光",
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"角色原画师": "动画设计",
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"场景原画师": "动画设计",
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"二维动画师": "动画设计",
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"三维动画师": "动画设计",
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"三维动作师": "动画设计",
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"分镜绘制": "动画设计",
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"特效设计师": "后期特效",
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"后期合成": "后期特效",
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"剪辑师": "剪辑",
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"剪辑助理": "剪辑",
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"导演助理": "剪辑",
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"品牌视觉内容策划": "品牌设计",
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"品牌设计师": "品牌设计",
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"标志设计师": "品牌设计",
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"平面设计师": "平面设计",
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"书籍装帧设计师": "平面设计",
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"广告设计师": "平面设计",
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"3D建模师": "三维设计",
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"三维模型师": "三维设计",
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"三维材质师": "三维设计",
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"三维灯光师": "三维设计",
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"三维绑定师": "三维设计",
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"三维渲染师": "三维设计",
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"影视摄像": "摄影/摄像",
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"影视摄影": "摄影/摄像",
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"室内设计师": "室内设计",
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"调色师": "调色",
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"自媒体运营专员": "新媒体运营",
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"新媒体内容策划": "新媒体运营",
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"社交媒体运营": "新媒体运营",
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"音效设计师": "音频处理",
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"音频编辑师": "音频处理",
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"配音配乐师": "音频处理",
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"导演": "影视节目策划",
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"编剧": "影视节目策划",
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"直播运营": "直播",
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"直播策划": "直播",
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"主持人": "直播"
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}
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# 提取每个岗位的面试题
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for position in positions_data:
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position_name = position.get("岗位名称", "")
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if position_name in industry_map:
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industry = industry_map[position_name]
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# 提取面试题
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interview_content = position.get("面试题内容", "")
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if interview_content and industry not in industry_questions:
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questions = []
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lines = interview_content.split('\n')
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current_question = None
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current_answer = ''
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collecting_answer = False
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for line in lines:
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line_stripped = line.strip()
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# 检测问题行
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if line_stripped and line_stripped[0].isdigit() and '. 问题' in line_stripped:
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# 保存上一个问题
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if current_question:
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answer = current_answer.strip()
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if len(answer) > 400:
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cut_point = 400
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for sep in ['。', '；', '. ']:
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pos = answer[:400].rfind(sep)
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if pos > 200:
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cut_point = pos + 1
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break
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answer = answer[:cut_point]
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questions.append({
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'question': current_question,
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'answer': answer if answer else "请根据您的实际经验和项目情况进行回答。"
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})
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# 提取新问题
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parts = line_stripped.split('问题：', 1)
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if len(parts) > 1:
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current_question = parts[1].strip()
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else:
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parts = line_stripped.split('问题:', 1)
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if len(parts) > 1:
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current_question = parts[1].strip()
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else:
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# 尝试其他格式
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parts = line_stripped.split('. ', 1)
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if len(parts) > 1:
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current_question = parts[1].strip()
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current_answer = ''
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collecting_answer = False
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# 检测答案开始
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elif any(marker in line for marker in ['参考回答：', '参考答案：', '答案：']):
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collecting_answer = True
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for marker in ['参考回答：', '参考答案：', '答案：']:
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if marker in line:
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answer_part = line.split(marker, 1)[1].strip()
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if answer_part:
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current_answer = answer_part
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break
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# 收集答案内容
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elif collecting_answer and line.strip():
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if (line_stripped and line_stripped[0].isdigit() and '. 问题' in line_stripped) or line_stripped.startswith('#'):
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collecting_answer = False
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else:
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if current_answer:
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current_answer += ' '
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current_answer += line.strip()
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# 保存最后一个问题
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if current_question:
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answer = current_answer.strip()
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if len(answer) > 400:
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cut_point = 400
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for sep in ['。', '；', '. ']:
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pos = answer[:400].rfind(sep)
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if pos > 200:
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cut_point = pos + 1
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break
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answer = answer[:cut_point]
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questions.append({
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'question': current_question,
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'answer': answer if answer else "请根据您的实际经验和项目情况进行回答。"
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})
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if questions:
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industry_questions[industry] = questions
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print(f"提取了 {industry} 的 {len(questions)} 个问题")
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# 读取现有文件
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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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# 创建备份
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backup_file = f"{mock_file}.backup_all_industries_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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with open(backup_file, 'w', encoding='utf-8') as f:
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f.write(content)
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print(f"\n已创建备份：{backup_file}")
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# 更新每个产业的questions字段
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print("\n开始更新所有产业的面试题...")
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updated_count = 0
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for industry, questions in industry_questions.items():
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if industry == "UI设计":
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# UI设计已经更新过了
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continue
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# 构建新的questions数组
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sub_questions = []
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for i, qa in enumerate(questions, 1):
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question_text = qa['question'].replace('"', '\\"')
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answer_text = qa['answer'].replace('"', '\\"').replace('\n', ' ')
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sub_questions.append({
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"id": f"q{updated_count+2}_{i}",
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"question": question_text,
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"answer": answer_text
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})
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# 查找产业位置
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pattern = rf'"name":\s*"{re.escape(industry)}".*?"questions":\s*\['
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match = re.search(pattern, content, re.DOTALL)
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if match:
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# 找到questions数组的结束位置
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start_pos = match.end()
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bracket_count = 1
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end_pos = start_pos
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while bracket_count > 0 and end_pos < len(content):
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if content[end_pos] == '[':
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bracket_count += 1
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elif content[end_pos] == ']':
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bracket_count -= 1
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end_pos += 1
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if bracket_count == 0:
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# 构建新的questions内容
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new_questions = [{
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"id": f"group_q{updated_count+2}",
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"question": f"# {industry}面试题",
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"subQuestions": sub_questions
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}]
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# 转换为JSON字符串
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questions_str = json.dumps(new_questions, ensure_ascii=False, indent=6)
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# 调整缩进
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questions_str = '\n'.join([' ' + line if line.strip() else line
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for line in questions_str.split('\n')])
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# 替换内容
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content = content[:match.end()-1] + questions_str + content[end_pos-1:]
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updated_count += 1
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print(f"✓ 更新了 {industry} 的 {len(sub_questions)} 个问题")
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else:
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print(f"✗ 未能正确解析 {industry} 的questions数组")
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else:
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print(f"✗ 未找到产业：{industry}")
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# 写入文件
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if updated_count > 0:
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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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# 验证语法
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print(f"\n验证语法...")
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result = os.popen(f'node -c {mock_file} 2>&1').read()
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if result:
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print(f"❌ 语法错误：{result}")
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# 恢复备份
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with open(backup_file, 'r', encoding='utf-8') as f:
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content = f.read()
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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("已恢复备份")
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else:
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print("✓ 语法验证通过")
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print(f"\n成功更新 {updated_count} 个产业的面试题！")
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print("所有视觉设计产业的面试题已更新为完整版本。")
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else:
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print("\n未能更新任何产业") |