AIclinicalresearch/docs/03-业务模块/AIA-AI智能问答/04-开发计划/03-前端组件设计.md

AIA V2.1 前端组件设计

版本：V2.1
创建日期：2026-01-11
技术栈：React 19 + TypeScript 5 + Ant Design 6 + Ant Design X 2.1

---

📁 模块结构

frontend-v2/src/modules/aia/
├── pages/
│   ├── Dashboard.tsx              # 智能体大厅（首页）
│   └── Workspace.tsx              # 对话工作台
├── components/
│   ├── AgentPipeline/
│   │   ├── index.tsx              # 5阶段流水线容器
│   │   ├── StageColumn.tsx        # 单阶段列
│   │   └── AgentCard.tsx          # 智能体卡片
│   ├── IntentSearch/
│   │   ├── index.tsx              # 意图搜索框
│   │   └── SuggestionDropdown.tsx # 建议下拉框
│   ├── ConversationList/
│   │   ├── index.tsx              # 历史会话列表
│   │   └── ConversationItem.tsx   # 会话项
│   ├── MessageList/
│   │   ├── index.tsx              # 消息列表
│   │   ├── UserMessage.tsx        # 用户消息
│   │   ├── AssistantMessage.tsx   # AI回复
│   │   └── ThinkingBlock.tsx      # 深度思考折叠块
│   ├── Attachment/
│   │   ├── AttachmentUpload.tsx   # 附件上传
│   │   ├── AttachmentCard.tsx     # 附件卡片
│   │   └── AttachmentPreview.tsx  # 附件预览
│   ├── SlashCommands/
│   │   └── index.tsx              # 快捷指令菜单
│   └── ActionBar/
│       └── index.tsx              # 结果操作栏
├── hooks/
│   ├── useConversation.ts         # 对话管理
│   ├── useAgents.ts               # 智能体数据
│   ├── useIntentRouter.ts         # 意图路由
│   ├── useStreamMessage.ts        # 流式消息
│   └── useAttachment.ts           # 附件上传
├── api/
│   └── index.ts                   # API 封装
├── types/
│   └── index.ts                   # TypeScript 类型
├── styles/
│   ├── dashboard.module.css       # Dashboard 样式
│   └── workspace.module.css       # Workspace 样式
└── index.tsx                      # 模块入口 + 路由

---

🎨 设计规范

色彩系统

:root {
  /* 5阶段流水线主题色 */
  --stage-design: #3B82F6;     /* 蓝色 - 研究设计 */
  --stage-data: #8B5CF6;       /* 紫色 - 数据采集 */
  --stage-analysis: #10B981;   /* 绿色 - 统计分析 */
  --stage-write: #F59E0B;      /* 橙色 - 论文撰写 */
  --stage-publish: #EF4444;    /* 红色 - 成果发布 */
  
  /* 功能色 */
  --ai-assistant: #6366F1;     /* AI助手主色 */
  --thinking-bg: #F3F4F6;      /* 思考块背景 */
  --thinking-border: #E5E7EB;  /* 思考块边框 */
  
  /* Gemini 风格 */
  --bg-primary: #FFFFFF;
  --bg-secondary: #F9FAFB;
  --text-primary: #111827;
  --text-secondary: #6B7280;
  --border-light: #E5E7EB;
}

间距系统

/* 遵循 8px 网格 */
--spacing-xs: 4px;
--spacing-sm: 8px;
--spacing-md: 16px;
--spacing-lg: 24px;
--spacing-xl: 32px;
--spacing-2xl: 48px;

断点

/* 移动优先 */
--breakpoint-sm: 640px;   /* 手机 */
--breakpoint-md: 768px;   /* 平板 */
--breakpoint-lg: 1024px;  /* 桌面 */
--breakpoint-xl: 1280px;  /* 大屏 */

---

📄 页面设计

1. Dashboard（智能体大厅）

// pages/Dashboard.tsx

import { IntentSearch } from '../components/IntentSearch';
import { AgentPipeline } from '../components/AgentPipeline';

export const Dashboard: React.FC = () => {
  return (
    <div className={styles.dashboard}>
      {/* 顶部意图搜索框 */}
      <header className={styles.header}>
        <h1>AI 智能助手</h1>
        <p>有什么可以帮助您的？</p>
        <IntentSearch />
      </header>
      
      {/* 5阶段智能体流水线 */}
      <main className={styles.main}>
        <AgentPipeline />
      </main>
    </div>
  );
};

布局特点：

• 顶部居中大搜索框
• 5阶段流水线横向平铺（桌面）/ 纵向滚动（移动）
• Gemini 风格大留白

---

2. Workspace（对话工作台）

// pages/Workspace.tsx

import { ChatContainer } from '@/shared/components/Chat';
import { ConversationList } from '../components/ConversationList';
import { ThinkingBlock } from '../components/MessageList/ThinkingBlock';
import { AttachmentUpload } from '../components/Attachment/AttachmentUpload';

export const Workspace: React.FC = () => {
  const { conversationId } = useParams();
  const { conversation, messages, sendMessage } = useConversation(conversationId);
  
  return (
    <div className={styles.workspace}>
      {/* 左侧边栏 - 历史会话 */}
      <aside className={styles.sidebar}>
        <ConversationList />
      </aside>
      
      {/* 主对话区 */}
      <main className={styles.main}>
        {/* 对话头部 */}
        <header className={styles.header}>
          <AgentAvatar agent={conversation?.agent} />
          <h2>{conversation?.agent?.name}</h2>
        </header>
        
        {/* 消息列表 - 复用通用 Chat 组件 */}
        <ChatContainer
          messages={messages}
          onSend={sendMessage}
          renderMessage={(msg) => (
            <div className={styles.message}>
              {/* 深度思考块 */}
              {msg.thinkingContent && (
                <ThinkingBlock content={msg.thinkingContent} />
              )}
              {/* 消息内容 */}
              <MarkdownRenderer content={msg.content} />
              {/* 附件卡片 */}
              {msg.attachments?.map(att => (
                <AttachmentCard key={att.id} attachment={att} />
              ))}
            </div>
          )}
          inputFooter={<AttachmentUpload />}
        />
      </main>
    </div>
  );
};

---

🧩 组件详细设计

1. AgentPipeline（5阶段流水线）

// components/AgentPipeline/index.tsx

interface AgentPipelineProps {
  onAgentClick: (agentId: string) => void;
}

export const AgentPipeline: React.FC<AgentPipelineProps> = ({ onAgentClick }) => {
  const { agents } = useAgents();
  
  const stages = [
    { key: 'design', title: '研究设计', color: 'var(--stage-design)' },
    { key: 'data', title: '数据采集', color: 'var(--stage-data)' },
    { key: 'analysis', title: '统计分析', color: 'var(--stage-analysis)' },
    { key: 'write', title: '论文撰写', color: 'var(--stage-write)' },
    { key: 'publish', title: '成果发布', color: 'var(--stage-publish)' },
  ];
  
  return (
    <div className={styles.pipeline}>
      {stages.map((stage, index) => (
        <StageColumn
          key={stage.key}
          title={stage.title}
          color={stage.color}
          agents={agents.filter(a => a.stage === stage.key)}
          onAgentClick={onAgentClick}
          showConnector={index < stages.length - 1}
        />
      ))}
    </div>
  );
};

样式特点：

.pipeline {
  display: flex;
  gap: var(--spacing-lg);
  overflow-x: auto;
  padding: var(--spacing-xl) 0;
}

/* 移动端纵向布局 */
@media (max-width: 768px) {
  .pipeline {
    flex-direction: column;
    overflow-x: visible;
  }
}

---

2. IntentSearch（意图搜索框）

// components/IntentSearch/index.tsx

export const IntentSearch: React.FC = () => {
  const [query, setQuery] = useState('');
  const [suggestions, setSuggestions] = useState<IntentSuggestion[]>([]);
  const { routeIntent, isLoading } = useIntentRouter();
  const navigate = useNavigate();
  
  // 500ms 防抖
  const debouncedQuery = useDebouncedValue(query, 500);
  
  useEffect(() => {
    if (debouncedQuery.length >= 2) {
      routeIntent(debouncedQuery).then(setSuggestions);
    }
  }, [debouncedQuery]);
  
  const handleSelect = (suggestion: IntentSuggestion) => {
    // 跳转到对应智能体
    navigate(`/aia/workspace?agent=${suggestion.agentId}&prompt=${encodeURIComponent(suggestion.prefillPrompt)}`);
  };
  
  return (
    <div className={styles.searchContainer}>
      <Input.Search
        size="large"
        placeholder="描述您的需求，AI 将为您推荐合适的助手..."
        value={query}
        onChange={(e) => setQuery(e.target.value)}
        loading={isLoading}
        className={styles.searchInput}
      />
      
      {suggestions.length > 0 && (
        <SuggestionDropdown
          suggestions={suggestions}
          onSelect={handleSelect}
        />
      )}
    </div>
  );
};

---

3. ThinkingBlock（深度思考折叠块）

// components/MessageList/ThinkingBlock.tsx

interface ThinkingBlockProps {
  content: string;
  duration?: number;  // 思考耗时（秒）
  isStreaming?: boolean;  // 是否正在生成
}

export const ThinkingBlock: React.FC<ThinkingBlockProps> = ({
  content,
  duration,
  isStreaming = false,
}) => {
  // 生成中展开，完成后自动收起
  const [expanded, setExpanded] = useState(isStreaming);
  
  useEffect(() => {
    if (!isStreaming && expanded) {
      // 完成后 1.5s 自动收起
      const timer = setTimeout(() => setExpanded(false), 1500);
      return () => clearTimeout(timer);
    }
  }, [isStreaming]);
  
  return (
    <div className={styles.thinkingBlock}>
      <div 
        className={styles.header}
        onClick={() => setExpanded(!expanded)}
      >
        <span className={styles.icon}>
          {isStreaming ? <LoadingOutlined spin /> : <BulbOutlined />}
        </span>
        <span className={styles.title}>
          {isStreaming ? '正在深度思考...' : `已深度思考 (耗时 ${duration?.toFixed(1)}s)`}
        </span>
        <span className={styles.expandIcon}>
          {expanded ? <UpOutlined /> : <DownOutlined />}
        </span>
      </div>
      
      {expanded && (
        <div className={styles.content}>
          <Typography.Text type="secondary">
            {content}
          </Typography.Text>
        </div>
      )}
    </div>
  );
};

样式：

.thinkingBlock {
  background: var(--thinking-bg);
  border: 1px solid var(--thinking-border);
  border-radius: 8px;
  margin-bottom: var(--spacing-md);
}

.header {
  display: flex;
  align-items: center;
  padding: var(--spacing-sm) var(--spacing-md);
  cursor: pointer;
  user-select: none;
}

.content {
  padding: var(--spacing-md);
  padding-top: 0;
  font-size: 13px;
  line-height: 1.6;
  color: var(--text-secondary);
}

---

4. AttachmentUpload（附件上传）

// components/Attachment/AttachmentUpload.tsx

interface AttachmentUploadProps {
  conversationId: string;
  onUploadComplete: (attachment: Attachment) => void;
  maxCount?: number;  // 默认 5
}

export const AttachmentUpload: React.FC<AttachmentUploadProps> = ({
  conversationId,
  onUploadComplete,
  maxCount = 5,
}) => {
  const { uploadFile, uploading, progress } = useAttachment();
  const [attachments, setAttachments] = useState<Attachment[]>([]);
  
  const handleUpload = async (file: File) => {
    if (attachments.length >= maxCount) {
      message.error(`最多上传 ${maxCount} 个附件`);
      return false;
    }
    
    // 文件类型校验
    const allowedTypes = ['application/pdf', 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'text/plain', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'];
    if (!allowedTypes.includes(file.type)) {
      message.error('仅支持 PDF、Word、TXT、Excel 文件');
      return false;
    }
    
    // 文件大小校验（20MB）
    if (file.size > 20 * 1024 * 1024) {
      message.error('文件大小不能超过 20MB');
      return false;
    }
    
    const attachment = await uploadFile(conversationId, file);
    setAttachments([...attachments, attachment]);
    onUploadComplete(attachment);
    return false;  // 阻止默认上传
  };
  
  return (
    <div className={styles.uploadContainer}>
      <Upload
        beforeUpload={handleUpload}
        showUploadList={false}
        accept=".pdf,.docx,.txt,.xlsx"
        multiple
      >
        <Button icon={<PaperClipOutlined />} type="text">
          添加附件
        </Button>
      </Upload>
      
      {/* 已上传附件列表 */}
      <div className={styles.attachmentList}>
        {attachments.map(att => (
          <AttachmentCard
            key={att.id}
            attachment={att}
            onRemove={() => {
              setAttachments(attachments.filter(a => a.id !== att.id));
            }}
          />
        ))}
      </div>
      
      {/* 上传进度 */}
      {uploading && (
        <Progress percent={progress} size="small" />
      )}
    </div>
  );
};

---

5. SlashCommands（快捷指令）

// components/SlashCommands/index.tsx

interface SlashCommandsProps {
  onSelect: (command: SlashCommand) => void;
  onClose: () => void;
}

const commands: SlashCommand[] = [
  { key: 'polish', icon: '✨', label: '润色', description: '优化文本表达' },
  { key: 'expand', icon: '📝', label: '扩写', description: '扩展内容细节' },
  { key: 'translate', icon: '🌐', label: '翻译', description: '中英互译' },
  { key: 'export', icon: '📄', label: '导出Word', description: '导出为 Word 文档' },
];

export const SlashCommands: React.FC<SlashCommandsProps> = ({
  onSelect,
  onClose,
}) => {
  const [selectedIndex, setSelectedIndex] = useState(0);
  
  // 键盘导航
  useEffect(() => {
    const handleKeyDown = (e: KeyboardEvent) => {
      switch (e.key) {
        case 'ArrowUp':
          e.preventDefault();
          setSelectedIndex(i => Math.max(0, i - 1));
          break;
        case 'ArrowDown':
          e.preventDefault();
          setSelectedIndex(i => Math.min(commands.length - 1, i + 1));
          break;
        case 'Enter':
          e.preventDefault();
          onSelect(commands[selectedIndex]);
          break;
        case 'Escape':
          onClose();
          break;
      }
    };
    
    window.addEventListener('keydown', handleKeyDown);
    return () => window.removeEventListener('keydown', handleKeyDown);
  }, [selectedIndex]);
  
  return (
    <div className={styles.commandMenu}>
      {commands.map((cmd, index) => (
        <div
          key={cmd.key}
          className={`${styles.commandItem} ${index === selectedIndex ? styles.selected : ''}`}
          onClick={() => onSelect(cmd)}
          onMouseEnter={() => setSelectedIndex(index)}
        >
          <span className={styles.icon}>{cmd.icon}</span>
          <div className={styles.content}>
            <div className={styles.label}>{cmd.label}</div>
            <div className={styles.description}>{cmd.description}</div>
          </div>
        </div>
      ))}
    </div>
  );
};

---

6. ActionBar（结果操作栏）

// components/ActionBar/index.tsx

interface ActionBarProps {
  message: Message;
  onCopy: () => void;
  onRegenerate: () => void;
  onExport: () => void;
}

export const ActionBar: React.FC<ActionBarProps> = ({
  message,
  onCopy,
  onRegenerate,
  onExport,
}) => {
  return (
    <div className={styles.actionBar}>
      <Tooltip title="复制">
        <Button
          type="text"
          icon={<CopyOutlined />}
          onClick={onCopy}
        />
      </Tooltip>
      <Tooltip title="重新生成">
        <Button
          type="text"
          icon={<ReloadOutlined />}
          onClick={onRegenerate}
        />
      </Tooltip>
      <Tooltip title="导出 Word">
        <Button
          type="text"
          icon={<FileWordOutlined />}
          onClick={onExport}
        />
      </Tooltip>
    </div>
  );
};

---

🎣 Hooks 设计

useConversation

// hooks/useConversation.ts

interface UseConversationReturn {
  conversation: Conversation | null;
  messages: Message[];
  isLoading: boolean;
  sendMessage: (content: string, attachmentIds?: string[]) => Promise<void>;
  regenerate: (messageId: string) => Promise<void>;
  deleteConversation: () => Promise<void>;
}

export function useConversation(conversationId?: string): UseConversationReturn {
  const [conversation, setConversation] = useState<Conversation | null>(null);
  const [messages, setMessages] = useState<Message[]>([]);
  const [isLoading, setIsLoading] = useState(false);
  
  // 加载对话
  useEffect(() => {
    if (conversationId) {
      api.getConversation(conversationId).then(data => {
        setConversation(data);
        setMessages(data.messages);
      });
    }
  }, [conversationId]);
  
  // 发送消息（流式）
  const sendMessage = async (content: string, attachmentIds?: string[]) => {
    setIsLoading(true);
    
    // 添加用户消息
    const userMessage: Message = {
      id: `temp-${Date.now()}`,
      role: 'user',
      content,
      attachments: [],
      createdAt: new Date().toISOString(),
    };
    setMessages(prev => [...prev, userMessage]);
    
    // 初始化 AI 消息
    const aiMessage: Message = {
      id: `temp-ai-${Date.now()}`,
      role: 'assistant',
      content: '',
      thinkingContent: '',
      createdAt: new Date().toISOString(),
    };
    setMessages(prev => [...prev, aiMessage]);
    
    // 流式接收
    await api.sendMessageStream(conversationId!, content, attachmentIds, {
      onThinkingDelta: (delta) => {
        setMessages(prev => {
          const last = prev[prev.length - 1];
          return [...prev.slice(0, -1), {
            ...last,
            thinkingContent: (last.thinkingContent || '') + delta,
          }];
        });
      },
      onDelta: (delta) => {
        setMessages(prev => {
          const last = prev[prev.length - 1];
          return [...prev.slice(0, -1), {
            ...last,
            content: last.content + delta,
          }];
        });
      },
      onComplete: (finalMessage) => {
        setMessages(prev => {
          return [...prev.slice(0, -1), finalMessage];
        });
        setIsLoading(false);
      },
      onError: (error) => {
        message.error(error.message);
        setIsLoading(false);
      },
    });
  };
  
  return {
    conversation,
    messages,
    isLoading,
    sendMessage,
    regenerate: async () => {},
    deleteConversation: async () => {},
  };
}

useStreamMessage

// hooks/useStreamMessage.ts

interface StreamCallbacks {
  onThinkingStart?: () => void;
  onThinkingDelta?: (content: string) => void;
  onThinkingEnd?: (duration: number) => void;
  onMessageStart?: (id: string) => void;
  onDelta?: (content: string) => void;
  onMessageEnd?: (message: Message) => void;
  onComplete?: (message: Message) => void;
  onError?: (error: Error) => void;
}

export function useStreamMessage() {
  const streamMessage = async (
    url: string,
    body: object,
    callbacks: StreamCallbacks
  ) => {
    const response = await fetch(url, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Accept': 'text/event-stream',
      },
      body: JSON.stringify(body),
    });
    
    const reader = response.body?.getReader();
    const decoder = new TextDecoder();
    
    while (true) {
      const { done, value } = await reader!.read();
      if (done) break;
      
      const chunk = decoder.decode(value);
      const events = parseSSE(chunk);
      
      for (const event of events) {
        switch (event.type) {
          case 'thinking_start':
            callbacks.onThinkingStart?.();
            break;
          case 'thinking_delta':
            callbacks.onThinkingDelta?.(event.data.content);
            break;
          case 'thinking_end':
            callbacks.onThinkingEnd?.(event.data.duration);
            break;
          case 'message_start':
            callbacks.onMessageStart?.(event.data.id);
            break;
          case 'delta':
            callbacks.onDelta?.(event.data.content);
            break;
          case 'message_end':
            callbacks.onMessageEnd?.(event.data);
            break;
          case 'done':
            callbacks.onComplete?.(event.data);
            break;
          case 'error':
            callbacks.onError?.(new Error(event.data.message));
            break;
        }
      }
    }
  };
  
  return { streamMessage };
}

---

📱 响应式设计

断点策略

// 断点定义
const breakpoints = {
  sm: 640,   // 手机
  md: 768,   // 平板（主要断点）
  lg: 1024,  // 桌面
  xl: 1280,  // 大屏
};

Dashboard 响应式

断点	布局
< 768px	流水线纵向滚动，卡片单列
≥ 768px	流水线横向 5 列

Workspace 响应式

断点	布局
< 768px	侧边栏隐藏（抽屉滑出），输入框键盘适配
≥ 768px	侧边栏固定显示 240px

---

📝 类型定义

// types/index.ts

export interface Agent {
  id: string;
  name: string;
  description: string;
  icon: string;
  stage: 'design' | 'data' | 'analysis' | 'write' | 'publish';
  color: string;
  knowledgeBaseId?: string;
  isTool?: boolean;
  targetModule?: string;
  welcomeMessage?: string;
  suggestedQuestions?: string[];
}

export interface Conversation {
  id: string;
  title: string;
  agentId: string;
  agent?: Agent;
  projectId?: string;
  messageCount: number;
  lastMessage?: string;
  createdAt: string;
  updatedAt: string;
}

export interface Message {
  id: string;
  conversationId?: string;
  role: 'user' | 'assistant';
  content: string;
  thinkingContent?: string;
  attachments?: Attachment[];
  model?: string;
  tokens?: number;
  isPinned?: boolean;
  createdAt: string;
}

export interface Attachment {
  id: string;
  filename: string;
  mimeType: string;
  size: number;
  ossUrl: string;
  textExtracted: boolean;
  tokenCount: number;
  truncated: boolean;
  createdAt: string;
}

export interface IntentSuggestion {
  agentId: string;
  agentName: string;
  confidence: number;
  prefillPrompt: string;
}

export interface SlashCommand {
  key: string;
  icon: string;
  label: string;
  description: string;
}

---

📝 更新日志

日期	版本	内容
2026-01-11	V1.0	创建前端组件设计文档