fix: 修复查询结果 API 响应格式解析问题

问题修复:
-  修复查询结果响应中缺少 task_id 字段导致的解析失败
-  重构数据结构，区分提交任务和查询结果的不同响应格式
-  添加类型守卫确保类型安全的数据访问
-  优化轮询逻辑，正确检测任务完成状态 (status: 'done')

技术改进:
- 分离提交和查询的数据结构：
  * RealmanAvatarPictureCreateRoleOmniSubmitData (包含 task_id)
  * RealmanAvatarPictureCreateRoleOmniResultData (包含 status, image_urls, resp_data)
- 使用 TypeScript 联合类型和类型守卫确保类型安全
- 更新前端代码使用正确的数据访问路径
- 完善错误处理和状态检测逻辑

现在 OmniHuman 主体识别功能可以正确解析查询结果响应了！

apps/desktop/src-tauri/src/business/services/volcano_video_service.rs

@@ -136,21 +136,32 @@ pub struct RealmanAvatarPictureCreateRoleOmniResult {
     pub time_elapsed: String,
 }
 
-/// OmniHuman 主体识别返回数据
+/// OmniHuman 主体识别提交任务返回数据
 #[derive(Debug, Clone, Serialize, Deserialize)]
-pub struct RealmanAvatarPictureCreateRoleOmniData {
+pub struct RealmanAvatarPictureCreateRoleOmniSubmitData {
+    /// 任务ID
+    pub task_id: String,
+}
+
+/// OmniHuman 主体识别查询结果返回数据
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct RealmanAvatarPictureCreateRoleOmniResultData {
     /// 输出处理过的图片url数组（单张图）
     pub image_urls: Option<Vec<String>>,
     /// 返回图base64数组
     pub binary_data_base64: Option<Vec<String>>,
-    /// 任务ID
-    pub task_id: String,
     /// 算法返回数据
     pub resp_data: Option<String>,
     /// 任务状态
     pub status: Option<String>,
-    /// 算法返回信息
+}
-    pub algorithm_base_resp: Option<serde_json::Value>,
+
+/// OmniHuman 主体识别返回数据（兼容两种情况）
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum RealmanAvatarPictureCreateRoleOmniData {
+    Submit(RealmanAvatarPictureCreateRoleOmniSubmitData),
+    Result(RealmanAvatarPictureCreateRoleOmniResultData),
 }
 
 /// 火山云视频生成服务

apps/desktop/src/pages/tools/OmniHumanDetectionTool.tsx

@@ -13,7 +13,11 @@ import { open } from '@tauri-apps/plugin-dialog';
 import { useNotifications } from '../../components/NotificationSystem';
 import videoGenerationService from '../../services/videoGenerationService';
 import fileUploadService from '../../services/fileUploadService';
-import { RealmanAvatarPictureCreateRoleOmniResponse } from '../../types/videoGeneration';
+import {
+  RealmanAvatarPictureCreateRoleOmniResponse,
+  RealmanAvatarPictureCreateRoleOmniResultData,
+  RealmanAvatarPictureCreateRoleOmniSubmitData
+} from '../../types/videoGeneration';
 
 const OmniHumanDetectionTool: React.FC = () => {
   const [selectedImage, setSelectedImage] = useState<string>('');
@@ -26,6 +30,16 @@ const OmniHumanDetectionTool: React.FC = () => {
 
   const { addNotification, success, error } = useNotifications();
 
+  // 类型守卫：检查是否为查询结果数据
+  const isResultData = (data: any): data is RealmanAvatarPictureCreateRoleOmniResultData => {
+    return data && typeof data === 'object' && ('status' in data || 'image_urls' in data || 'resp_data' in data);
+  };
+
+  // 类型守卫：检查是否为提交任务数据
+  const isSubmitData = (data: any): data is RealmanAvatarPictureCreateRoleOmniSubmitData => {
+    return data && typeof data === 'object' && 'task_id' in data;
+  };
+
   // 轮询查询结果
   const pollForResult = useCallback(async (taskId: string): Promise<RealmanAvatarPictureCreateRoleOmniResponse> => {
     const maxAttempts = 30; // 最多轮询30次
@@ -36,13 +50,16 @@ const OmniHumanDetectionTool: React.FC = () => {
         const result = await videoGenerationService.realmanAvatarPictureCreateRoleOmniGetResult(taskId);
 
         // 检查任务状态
-        if (result.Result.data?.status === 'completed' || result.Result.data?.image_urls?.length) {
+        if (result.Result.data && isResultData(result.Result.data)) {
+          const resultData = result.Result.data;
+          if (resultData.status === 'done' || resultData.image_urls?.length) {
             // 任务完成，返回结果
             return result;
-        } else if (result.Result.data?.status === 'failed') {
+          } else if (resultData.status === 'failed') {
             // 任务失败
             throw new Error('任务处理失败');
           }
+        }
 
         // 任务还在处理中，继续轮询
         setUploadProgress(80 + (attempt / maxAttempts) * 15); // 80-95% 的进度用于轮询
@@ -125,7 +142,8 @@ const OmniHumanDetectionTool: React.FC = () => {
       setUploadProgress(80);
 
       if (submitResponse.Result.code === 10000) {
-        const taskId = submitResponse.Result.data?.task_id;
+        const data = submitResponse.Result.data;
+        const taskId = data && isSubmitData(data) ? data.task_id : undefined;
         if (taskId) {
           setCurrentTaskId(taskId);
           success('主体识别任务提交成功，正在处理中...');
@@ -269,17 +287,17 @@ const OmniHumanDetectionTool: React.FC = () => {
                   <span className="text-green-800 font-medium">识别成功</span>
                 </div>
                 <div className="text-sm text-green-700">
-                  <p>任务ID: {result.Result.data?.task_id || currentTaskId}</p>
+                  <p>任务ID: {currentTaskId || (result.Result.data && isSubmitData(result.Result.data) ? result.Result.data.task_id : '未知')}</p>
                   <p>请求ID: {result.Result.request_id}</p>
                   <p>处理时间: {result.Result.time_elapsed}</p>
                 </div>
               </div>
 
-              {result.Result.data?.image_urls && result.Result.data.image_urls.length > 0 && (
+              {result.Result.data && isResultData(result.Result.data) && result.Result.data.image_urls && result.Result.data.image_urls.length > 0 && (
                 <div>
                   <h4 className="font-medium text-gray-900 mb-2">处理后的图片</h4>
                   <div className="grid grid-cols-1 md:grid-cols-2 gap-4">
-                    {result.Result.data.image_urls.map((url, index) => (
+                    {result.Result.data.image_urls.map((url: string, index: number) => (
                       <div key={index} className="border border-gray-200 rounded-lg p-4 bg-gray-50">
                         <img
                           src={url}
@@ -302,7 +320,7 @@ const OmniHumanDetectionTool: React.FC = () => {
                 </div>
               )}
 
-              {result.Result.data?.resp_data && (
+              {result.Result.data && isResultData(result.Result.data) && result.Result.data.resp_data && (
                 <div>
                   <h4 className="font-medium text-gray-900 mb-2">算法返回数据</h4>
                   <div className="p-3 bg-gray-50 border border-gray-200 rounded text-sm font-mono">

apps/desktop/src/types/videoGeneration.ts

@@ -397,21 +397,26 @@ export interface RealmanAvatarPictureCreateRoleOmniRequest {
   image_url: string;
 }
 
-export interface RealmanAvatarPictureCreateRoleOmniData {
+export interface RealmanAvatarPictureCreateRoleOmniSubmitData {
+  /** 任务ID */
+  task_id: string;
+}
+
+export interface RealmanAvatarPictureCreateRoleOmniResultData {
   /** 输出处理过的图片url数组（单张图） */
   image_urls?: string[];
   /** 返回图base64数组 */
   binary_data_base64?: string[];
-  /** 任务ID */
-  task_id: string;
   /** 算法返回数据 */
   resp_data?: string;
   /** 任务状态 */
   status?: string;
-  /** 算法返回信息 */
-  algorithm_base_resp?: any;
 }
 
+export type RealmanAvatarPictureCreateRoleOmniData =
+  | RealmanAvatarPictureCreateRoleOmniSubmitData
+  | RealmanAvatarPictureCreateRoleOmniResultData;
+
 export interface VolcanoResponseMetadata {
   Action: string;
   Region: string;