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>
2025-12-12 18:16:55 +08:00
commit a7242f0c69
2932 changed files with 2303533 additions and 0 deletions
--- a/frontend_智能制造/complete_interview_update_final.py
+++ b/frontend_智能制造/complete_interview_update_final.py
@@ -0,0 +1,205 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+import json
+import re
+from datetime import datetime
+
+print("=== 完整面试题更新工具 ===")
+print("此工具将完整导入所有岗位群的所有章节面试题")
+
+# 读取智能制造岗位简历数据
+print("\n1. 读取源数据...")
+with open('网页未导入数据/智能制造产业/智能制造岗位简历.json', 'r', encoding='utf-8') as f:
+    smart_mfg_data = json.load(f)
+
+# 读取当前mock文件
+print("2. 读取当前mock文件...")
+with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
+    mock_content = f.read()
+
+# 备份原文件
+backup_time = datetime.now().strftime('%Y%m%d_%H%M%S')
+backup_file = f'src/mocks/resumeInterviewMock.js.backup_complete_update_{backup_time}'
+with open(backup_file, 'w', encoding='utf-8') as f:
+    f.write(mock_content)
+print(f"3. 已创建备份: {backup_file}")
+
+# 解析智能制造岗位简历数据
+interview_data_map = {}
+
+print("\n4. 解析面试题数据...")
+for item in smart_mfg_data:
+    job_group = item.get('简历岗位群', '')
+    interview_content = item.get('面试题内容', '')
+
+    if job_group and interview_content:
+        questions_data = []
+        
+        # 按 # 分割章节，但保留 # 标记
+        sections = re.split(r'\n(?=# )', interview_content.strip())
+        
+        for section in sections:
+            if not section.strip():
+                continue
+                
+            lines = section.split('\n')
+            if not lines:
+                continue
+                
+            # 第一行是章节标题
+            section_title = lines[0].strip()
+            if section_title.startswith('# '):
+                section_title = section_title[2:].strip()
+            
+            if not section_title:
+                continue
+                
+            current_section_questions = []
+            
+            # 解析该章节中的问题
+            i = 1  # 跳过标题行
+            while i < len(lines):
+                line = lines[i].strip()
+                if not line:
+                    i += 1
+                    continue
+                
+                # 查找问题编号（如 1. xxx 或 1、xxx）
+                question_match = re.match(r'^(\d+)[\.\、]\s*(.+)', line)
+                if question_match:
+                    question_text = question_match.group(2).strip()
+                    
+                    # 查找答案
+                    answer_lines = []
+                    i += 1  # 移到下一行开始查找答案
+                    
+                    while i < len(lines):
+                        next_line = lines[i].strip()
+                        
+                        # 如果遇到下一个问题，停止
+                        if re.match(r'^\d+[\.\、]\s*', next_line):
+                            i -= 1  # 回退，让外层循环处理
+                            break
+                            
+                        # 处理答案内容
+                        if next_line:
+                            # 移除答案标记
+                            if re.match(r'^答案[：:]?\s*', next_line):
+                                answer_text = re.sub(r'^答案[：:]?\s*', '', next_line)
+                                if answer_text:
+                                    answer_lines.append(answer_text)
+                            elif not re.match(r'^答案', next_line):
+                                # 其他内容作为答案的一部分
+                                answer_lines.append(next_line)
+                        
+                        i += 1
+                    
+                    # 整理答案
+                    answer = ' '.join(answer_lines).strip()
+                    if not answer:
+                        answer = "请根据实际情况回答"
+                    
+                    current_section_questions.append({
+                        'question': question_text,
+                        'answer': answer
+                    })
+                else:
+                    i += 1
+            
+            # 如果该章节有问题，添加到结果中
+            if current_section_questions:
+                questions_data.append({
+                    'id': f'group_q{len(questions_data) + 1}',
+                    'title': section_title,
+                    'questions': current_section_questions
+                })
+        
+        interview_data_map[job_group] = questions_data
+
+print(f"\n解析结果:")
+total_sections = 0
+total_questions = 0
+for group, data in interview_data_map.items():
+    section_count = len(data)
+    question_count = sum(len(section['questions']) for section in data)
+    total_sections += section_count
+    total_questions += question_count
+    print(f"  - {group}: {section_count} 个章节，{question_count} 道题")
+
+print(f"\n总计: {len(interview_data_map)} 个岗位群，{total_sections} 个章节，{total_questions} 道题")
+
+# 更新mock文件中的面试题
+def update_industry_questions(match):
+    industry_name = match.group(1)
+
+    # 查找对应的面试题数据
+    if industry_name not in interview_data_map:
+        return match.group(0)  # 保持原样
+
+    questions_data = interview_data_map[industry_name]
+
+    # 构建新的questions数组
+    new_questions = []
+
+    for section_data in questions_data:
+        sub_questions = []
+        for idx, q in enumerate(section_data['questions']):
+            # 转义特殊字符
+            question_text = q['question'].replace('\\', '\\\\').replace('"', '\\"')
+            answer_text = q['answer'].replace('\\', '\\\\').replace('"', '\\"').replace('\n', '\\n')
+
+            sub_questions.append('{\\n            "id": "q{}_{}", \\n            "question": "{}", \\n            "answer": "{}"\\n          }'.format(
+                section_data['id'][7:], idx+1, question_text, answer_text))
+
+        section_title = section_data['title'].replace('\\', '\\\\').replace('"', '\\"')
+
+        new_questions.append('{\\n        "id": "{}", \\n        "question": "# {}", \\n        "subQuestions": [\\n          {}\\n        ]\\n      }'.format(
+            section_data['id'], section_title, ','.join(sub_questions)))
+
+    # 替换questions部分
+    questions_str = ',\\n      '.join(new_questions)
+
+    # 构建完整的替换内容
+    before_questions = match.group(0).split('"questions": [')[0]
+    result = before_questions + '"questions": [\\n      ' + questions_str + '\\n    ]'
+
+    # 统计题目数量
+    total_questions = sum(len(section['questions']) for section in questions_data)
+    print(f"  - {industry_name}: 更新为 {len(questions_data)} 个章节，{total_questions} 道题")
+
+    return result
+
+# 执行更新
+print("\n5. 正在更新面试题数据...")
+pattern = r'"name":\s*"([^"]+)"[^}]*?"questions":\s*\[.*?\]\s*(?=\s*\})'
+new_content = re.sub(pattern, update_industry_questions, mock_content, flags=re.DOTALL)
+
+# 保存更新后的文件
+with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
+    f.write(new_content)
+
+print("\n6. ✅ 面试题数据更新完成！")
+
+# 验证语法
+print("7. 验证语法...")
+import subprocess
+result = subprocess.run(['node', '-c', 'src/mocks/resumeInterviewMock.js'],
+                       capture_output=True, text=True)
+if result.returncode == 0:
+    print("✅ 语法检查通过！")
+    
+    # 统计最终结果
+    with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
+        final_content = f.read()
+    
+    final_questions = len(re.findall(r'"id": "q[0-9]', final_content))
+    final_sections = len(re.findall(r'"question": "# ', final_content))
+    
+    print(f"\n=== 最终统计 ===")
+    print(f"总章节数: {final_sections}")
+    print(f"总题目数: {final_questions}")
+    print(f"\n现在用户可以在页面看到完整的面试题了！")
+    
+else:
+    print("❌ 语法错误：")
+    print(result.stderr)