fix: 修复AI视频分类进度数据不一致问题

apps/desktop/src/components/VideoClassificationProgress.tsx

@@ -28,6 +28,7 @@ export const VideoClassificationProgress: React.FC<VideoClassificationProgressPr
     taskProgress,
     refreshQueueStatus,
     refreshTaskProgress,
+    getProjectQueueStatus,
     getProjectTaskProgress,
     getClassificationStats,
     pauseQueue,
@@ -45,6 +46,15 @@ export const VideoClassificationProgress: React.FC<VideoClassificationProgressPr
   const [stats, setStats] = useState<ClassificationStats | null>(null);
   const [isExpanded, setIsExpanded] = useState(false);
 
+  // 刷新队列状态的方法
+  const refreshQueueStats = useCallback(async () => {
+    if (projectId) {
+      await getProjectQueueStatus(projectId);
+    } else {
+      await refreshQueueStatus();
+    }
+  }, [projectId, getProjectQueueStatus, refreshQueueStatus]);
+
   // 刷新任务进度的方法
   const refreshProgress = useCallback(async () => {
     if (projectId) {
@@ -59,7 +69,7 @@ export const VideoClassificationProgress: React.FC<VideoClassificationProgressPr
     if (!autoRefresh) return;
 
     const interval = setInterval(async () => {
-      await refreshQueueStatus();
+      await refreshQueueStats();
       await refreshProgress();
 
       if (projectId) {
@@ -73,17 +83,17 @@ export const VideoClassificationProgress: React.FC<VideoClassificationProgressPr
     }, refreshInterval);
 
     return () => clearInterval(interval);
-  }, [autoRefresh, refreshInterval, projectId, refreshQueueStatus, refreshProgress, getClassificationStats]);
+  }, [autoRefresh, refreshInterval, projectId, refreshQueueStats, refreshProgress, getClassificationStats]);
 
   // 初始加载
   useEffect(() => {
-    refreshQueueStatus();
+    refreshQueueStats();
     refreshProgress();
 
     if (projectId) {
       getClassificationStats(projectId).then(setStats).catch(console.error);
     }
-  }, [projectId, refreshQueueStatus, refreshProgress, getClassificationStats]);
+  }, [projectId, refreshQueueStats, refreshProgress, getClassificationStats]);
 
   // 获取状态颜色和图标
   const getStatusInfo = (status: string) => {

apps/desktop/src/store/videoClassificationStore.ts

@@ -71,6 +71,7 @@ interface VideoClassificationState {
   // Actions
   startClassification: (request: BatchClassificationRequest) => Promise<string[]>;
   getQueueStatus: () => Promise<QueueStats>;
+  getProjectQueueStatus: (projectId: string) => Promise<QueueStats>;
   getTaskProgress: (taskId: string) => Promise<TaskProgress | null>;
   getAllTaskProgress: () => Promise<Record<string, TaskProgress>>;
   getProjectTaskProgress: (projectId: string) => Promise<Record<string, TaskProgress>>;
@@ -129,6 +130,18 @@ export const useVideoClassificationStore = create<VideoClassificationState>((set
     }
   },
 
+  getProjectQueueStatus: async (projectId: string) => {
+    try {
+      const stats = await invoke<QueueStats>('get_project_classification_queue_status', { projectId });
+      set({ queueStats: stats });
+      return stats;
+    } catch (error) {
+      const errorMessage = typeof error === 'string' ? error : '获取项目队列状态失败';
+      set({ error: errorMessage });
+      throw new Error(errorMessage);
+    }
+  },
+
   getTaskProgress: async (taskId: string) => {
     try {
       const progress = await invoke<TaskProgress | null>('get_classification_task_progress', { taskId });