feat: 实现多订单班支持系统

主要功能:
- 修改RequirementModal支持12个订单班选择
- 添加OrderClassIconMap图标映射组件
- Store中添加selectedOrderClass状态管理
- WorkflowPage支持传递orderClass参数
- web_result添加URL参数切换功能
- 创建order-class-handler.js动态处理页面主题

技术改进:
- 创建软链接关联订单班数据目录
- 生成wenlu.json和food.json数据结构
- 删除重复的web_result目录
- 添加测试页面test-order-class.html

影响范围:
- 展会策划系统现支持12个订单班
- 结果展示页面自动适配不同订单班主题
- 用户可选择不同行业生成对应方案

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

scripts/convert_food_to_json.py

@@ -0,0 +1,142 @@
+#!/usr/bin/env python3
+"""
+将食品订单班的Markdown文档转换为JSON格式
+"""
+
+import json
+import re
+from pathlib import Path
+
+def parse_markdown_to_json():
+    """解析Markdown文档并转换为JSON"""
+    
+    # 路径设置
+    base_path = Path("/Users/xiaoqi/Documents/Dev/Project/2025-09-08_n8nDEMO演示")
+    md_file = base_path / "data/订单班文档资料/食品/notion文稿/中高端个性化轻食店铺经营方案 278d463fce51805081f7cfdc7280f4a4.md"
+    
+    # 读取Markdown文件
+    with open(md_file, 'r', encoding='utf-8') as f:
+        content = f.read()
+    
+    # 数据结构
+    data = {
+        "title": "中高端个性化轻食店铺经营方案",
+        "category": "食品",
+        "description": "一个针对年轻消费群体的中高端轻食品牌经营方案",
+        "sections": [],
+        "images": []
+    }
+    
+    # 提取所有图片
+    images = re.findall(r'!\[([^\]]*)\]\(([^)]+)\)', content)
+    for alt, path in images:
+        # 清理路径
+        clean_path = path.replace('./image/', '')
+        data["images"].append({
+            "alt": alt,
+            "src": f"images/food/{clean_path}"
+        })
+    
+    # 按章节解析内容
+    sections_pattern = r'^# ([^#\n]+)\n((?:(?!^#).*\n?)*)'
+    sections = re.findall(sections_pattern, content, re.MULTILINE)
+    
+    for section_title, section_content in sections:
+        if section_title.strip() == "中高端个性化轻食店铺经营方案":
+            continue
+            
+        section_data = {
+            "title": section_title.strip(),
+            "content": [],
+            "subsections": []
+        }
+        
+        # 解析二级标题
+        subsections_pattern = r'^## ([^#\n]+)\n((?:(?!^##).*\n?)*)'
+        subsections = re.findall(subsections_pattern, section_content, re.MULTILINE)
+        
+        for subsection_title, subsection_content in subsections:
+            subsection_data = {
+                "title": subsection_title.strip(),
+                "content": []
+            }
+            
+            # 清理内容
+            lines = subsection_content.strip().split('\n')
+            for line in lines:
+                line = line.strip()
+                if line and not line.startswith('!['):
+                    # 处理列表项
+                    if line.startswith('- '):
+                        subsection_data["content"].append({
+                            "type": "list-item",
+                            "text": line[2:].strip()
+                        })
+                    elif line.startswith('**') and line.endswith('**'):
+                        subsection_data["content"].append({
+                            "type": "bold",
+                            "text": line[2:-2].strip()
+                        })
+                    else:
+                        subsection_data["content"].append({
+                            "type": "text",
+                            "text": line
+                        })
+            
+            section_data["subsections"].append(subsection_data)
+        
+        # 如果没有二级标题，直接解析内容
+        if not subsections:
+            lines = section_content.strip().split('\n')
+            for line in lines:
+                line = line.strip()
+                if line and not line.startswith('![') and not line.startswith('##'):
+                    section_data["content"].append({
+                        "type": "text",
+                        "text": line
+                    })
+        
+        data["sections"].append(section_data)
+    
+    # 添加关键指标
+    data["highlights"] = {
+        "target": "年轻白领、健身爱好者、追求品质生活的群体",
+        "investment": "50-100万元",
+        "location": "商业区、写字楼密集区",
+        "features": [
+            "健康营养的轻食产品",
+            "个性化定制服务",
+            "舒适的就餐环境",
+            "线上线下融合运营"
+        ],
+        "advantages": [
+            "市场需求旺盛",
+            "毛利率较高",
+            "品牌差异化明显",
+            "复购率高"
+        ]
+    }
+    
+    return data
+
+def main():
+    """主函数"""
+    print("开始转换食品订单班数据...")
+    
+    # 转换数据
+    data = parse_markdown_to_json()
+    
+    # 保存JSON文件
+    output_dir = Path("/Users/xiaoqi/Documents/Dev/Project/2025-09-08_n8nDEMO演示/web_frontend/data")
+    output_dir.mkdir(exist_ok=True)
+    
+    output_file = output_dir / "food_order_data.json"
+    with open(output_file, 'w', encoding='utf-8') as f:
+        json.dump(data, f, ensure_ascii=False, indent=2)
+    
+    print(f"✅ 数据已保存到: {output_file}")
+    print(f"   - 章节数: {len(data['sections'])}")
+    print(f"   - 图片数: {len(data['images'])}")
+
+if __name__ == "__main__":
+    main()