更新12个教务系统并优化项目大小

主要更新： - 更新所有12个产业的教务系统数据和功能 - 删除所有 node_modules 文件夹（节省3.7GB） - 删除所有 .yoyo 缓存文件夹（节省1.2GB） - 删除所有 dist 构建文件（节省55MB）项目优化： - 项目大小从 8.1GB 减少到 3.2GB（节省60%空间） - 保留完整的源代码和配置文件 - .gitignore 已配置，防止再次提交大文件启动脚本： - start-industry.sh/bat/ps1 脚本会自动检测并安装依赖 - 首次启动时自动运行 npm install - 支持单个或批量启动产业系统 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 14:36:25 +08:00
parent 60921dbfb9
commit 38350dca36
792 changed files with 470498 additions and 11589 deletions
--- a/frontend_智能制造/update_all_interview_questions.py
+++ b/frontend_智能制造/update_all_interview_questions.py
@@ -0,0 +1,191 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+import json
+import re
+from datetime import datetime
+
+# 读取智能制造岗位简历数据
+print("正在读取智能制造岗位简历.json...")
+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("正在读取当前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_{backup_time}'
+with open(backup_file, 'w', encoding='utf-8') as f:
+    f.write(mock_content)
+print(f"已创建备份文件: {backup_file}")
+
+# 解析智能制造岗位简历数据，构建完整的面试题映射
+interview_data_map = {}
+
+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:
+        # 解析面试题内容
+        questions_data = []
+
+        lines = interview_content.split('\n')
+        current_section = None
+        current_section_questions = []
+        section_id = 1
+
+        for line in lines:
+            line = line.strip()
+            if not line:
+                continue
+
+            # 大标题（如 # 一、xxx）
+            if line.startswith('# '):
+                # 保存上一个section
+                if current_section and current_section_questions:
+                    questions_data.append({
+                        'id': f'group_q{section_id}',
+                        'title': current_section,
+                        'questions': current_section_questions
+                    })
+                    section_id += 1
+
+                current_section = line[2:].strip()
+                current_section_questions = []
+
+            # 问题编号（如 1. xxx 或 1、xxx）
+            elif re.match(r'^(\d+)[\.、]\s+', line):
+                # 提取问题
+                question_match = re.match(r'^(\d+)[\.、]\s+(.+)', line)
+                if question_match:
+                    question_text = question_match.group(2).strip()
+
+                    # 查找后续的答案
+                    answer_lines = []
+                    line_index = lines.index(line) + 1
+
+                    while line_index < len(lines):
+                        next_line = lines[line_index].strip()
+
+                        # 如果遇到下一个问题或章节，停止
+                        if next_line.startswith('#') or re.match(r'^(\d+)[\.、]\s+', next_line):
+                            break
+
+                        # 如果是答案标记
+                        if next_line.startswith('示例答案') or next_line.startswith('答案'):
+                            # 提取答案内容
+                            if '：' in next_line or ':' in next_line:
+                                answer_text = re.sub(r'^(示例答案|答案)[：:]?\s*', '', next_line)
+                                answer_lines.append(answer_text)
+                            line_index += 1
+                            # 继续读取多行答案
+                            while line_index < len(lines):
+                                next_line = lines[line_index].strip()
+                                if not next_line or next_line.startswith('#') or re.match(r'^(\d+)[\.、]\s+', next_line):
+                                    break
+                                answer_lines.append(next_line)
+                                line_index += 1
+                            break
+                        elif next_line:
+                            # 如果没有明确的答案标记，下一行非空内容可能就是答案
+                            answer_lines.append(next_line)
+                            line_index += 1
+                            break
+                        else:
+                            line_index += 1
+
+                    answer = ' '.join(answer_lines).strip()
+
+                    current_section_questions.append({
+                        'question': question_text,
+                        'answer': answer
+                    })
+
+        # 保存最后一个section
+        if current_section and current_section_questions:
+            questions_data.append({
+                'id': f'group_q{section_id}',
+                'title': current_section,
+                'questions': current_section_questions
+            })
+
+        interview_data_map[job_group] = questions_data
+
+print(f"\n共解析 {len(interview_data_map)} 个岗位群的面试题数据")
+
+# 更新mock文件中的面试题
+def update_industry_questions(match):
+    full_match = match.group(0)
+    industry_name = match.group(1)
+
+    # 查找对应的面试题数据
+    if industry_name not in interview_data_map:
+        print(f"  - {industry_name}: 保持原样（未找到对应数据）")
+        return full_match
+
+    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(f'''{{
+            "id": "q{section_data['id'][7:]}_{idx+1}",
+            "question": "{question_text}",
+            "answer": "{answer_text}"
+          }}''')
+
+        section_title = section_data['title'].replace('\\', '\\\\').replace('"', '\\"')
+
+        new_questions.append(f'''{{
+        "id": "{section_data['id']}",
+        "question": "# {section_title}",
+        "subQuestions": [
+          {','.join(sub_questions)}
+        ]
+      }}''')
+
+    # 替换questions部分
+    questions_str = ',\n      '.join(new_questions)
+
+    # 构建完整的替换内容
+    result = match.group(0).split('"questions": [')[0]
+    result += '"questions": [\n      '
+    result += questions_str
+    result += '\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("\n正在更新面试题数据...")
+pattern = r'"name":\s*"([^"]+)"[^}]*?"questions":\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("\n✅ 面试题数据更新完成！")
+
+# 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！")
+else:
+    print("❌ 语法错误：")
+    print(result.stderr)