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>

frontend_大健康/add_health11_questions.py

@@ -0,0 +1,141 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import json
+import re
+
+# 读取大健康岗位简历数据
+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:
+    health_data = json.load(f)
+
+# 获取药物研发的面试题
+drug_questions = []
+for item in health_data:
+    if item.get('简历岗位群') == '药物研发':
+        interview_content = item.get('面试题内容', '')
+        if interview_content and not drug_questions:  # 只取第一个
+            # 提取问题
+            content = interview_content
+
+            # 删除"判断题："前缀
+            content = re.sub(r'判断题[：:]?\s*', '', content)
+
+            # 分割成类别
+            sections = re.split(r'\n# ([一二三四五六七八九十]+、[^#\n]+)', content)
+
+            questions = []
+            if len(sections) > 1:
+                for i in range(1, len(sections), 2):
+                    if i+1 >= len(sections):
+                        break
+
+                    category_title = sections[i].strip()
+                    category_content = sections[i+1]
+
+                    # 提取问题和答案
+                    sub_questions = []
+                    lines = category_content.split('\n')
+
+                    current_question = None
+                    current_answer = []
+                    in_answer = False
+
+                    for line in lines:
+                        line = line.strip()
+
+                        # 检查是否是新问题
+                        question_match = re.match(r'^(\d+)\.\s*(.+)$', line)
+                        if question_match:
+                            # 保存上一个问题
+                            if current_question and current_answer:
+                                answer_text = ' '.join(current_answer).strip()
+                                answer_text = re.sub(r'^(示例)?答案[：:]?\s*', '', answer_text)
+                                if answer_text:
+                                    sub_questions.append({
+                                        "question": current_question,
+                                        "answer": answer_text
+                                    })
+
+                            # 开始新问题
+                            current_question = question_match.group(2).strip()
+                            current_answer = []
+                            in_answer = False
+
+                        # 检查是否是答案开始
+                        elif '答案' in line or '示例答案' in line:
+                            in_answer = True
+                            answer_part = re.sub(r'^(示例)?答案[：:]?\s*', '', line).strip()
+                            if answer_part:
+                                current_answer.append(answer_part)
+
+                        # 收集答案内容
+                        elif in_answer and line and not re.match(r'^#', line):
+                            current_answer.append(line)
+
+                    # 保存最后一个问题
+                    if current_question and current_answer:
+                        answer_text = ' '.join(current_answer).strip()
+                        answer_text = re.sub(r'^(示例)?答案[：:]?\s*', '', answer_text)
+                        if answer_text:
+                            sub_questions.append({
+                                "question": current_question,
+                                "answer": answer_text
+                            })
+
+                    if sub_questions:
+                        questions.append({
+                            "category": category_title,
+                            "questions": sub_questions
+                        })
+
+            drug_questions = questions
+            break
+
+# 转换为前端格式
+questions_array = []
+total_q = 0
+for i, cat in enumerate(drug_questions, 1):
+    sub_q_array = []
+    for j, q in enumerate(cat['questions'], 1):
+        total_q += 1
+        sub_q_array.append({
+            "id": f"q{total_q}",
+            "question": q['question'],
+            "answer": q['answer']
+        })
+
+    questions_array.append({
+        "id": f"group_q{i}",
+        "question": cat['category'],
+        "subQuestions": sub_q_array
+    })
+
+# 生成JSON字符串
+questions_json = json.dumps(questions_array, ensure_ascii=False, indent=2)
+
+# 读取Mock文件
+with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
+    content = f.read()
+
+# 在health_11的positions数组后添加questions
+# 找到最后一个position的结束
+pattern = r'("id":\s*"health_11_4"[^}]*?"requirements":\s*\[[^\]]*?\]\s*\}\]\s*\})'
+
+match = re.search(pattern, content, re.DOTALL)
+if match:
+    end_pos = match.end()
+
+    # 在这个位置插入questions
+    # 先找到']'的位置（positions数组的结束）
+    positions_end = content.rfind(']', 0, end_pos)
+
+    # 构建新的内容
+    new_content = content[:positions_end] + '],\n    "questions": ' + questions_json + '\n  ' + content[end_pos:]
+
+    # 写回文件
+    with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
+        f.write(new_content)
+
+    print(f"✓ 已添加药物研发的 {len(questions_array)} 个分类，共 {total_q} 个面试题")
+else:
+    print("未找到health_11的结构")