Merge remote-tracking branch 'origin/master' into codex/generation-task-reliability

# Conflicts:
#	src/components/AppShell.tsx

scripts/smoke-generation-mocked.mjs

@@ -42,9 +42,9 @@ assertNoMatch(
   /dashscope\.aliyuncs\.com|\/dashscope-api\b|Bearer\s+sk-/i,
 );
 assertMatch("image generation must go through the app API", generationClient, /buildApiUrl\("ai\/image"\)/);
-assertMatch("video generation must go through the app API", generationClient, /buildApiUrl\("ai\/video"\)/);
+assertMatch("video generation must go through the app API", generationClient, /serverRequest<\{ taskId: string \}>\("ai\/video"/);
 assertMatch("binary uploads must go through the app OSS API", generationClient, /buildApiUrl\("oss\/upload-binary"\)/);
-assertMatch("URL uploads must go through the app OSS API", generationClient, /buildApiUrl\("oss\/upload-by-url"\)/);
+assertMatch("URL uploads must go through the app OSS API", generationClient, /serverRequest<\{ url: string; signedUrl\?: string; ossKey\?: string \}>\("oss\/upload-by-url"/);
 assertMatch(
   "ecommerce video history must durable-copy media before saving",
   ecommerceVideoService,

src/App.tsx

@@ -15,6 +15,7 @@ import {
   WalletOutlined,
 } from "@ant-design/icons";
 import { lazy, Suspense, useCallback, useEffect, useMemo, useRef, useState } from "react";
+import { useShallow } from "zustand/react/shallow";
 import ErrorBoundary from "./components/ErrorBoundary";
 import { reportError } from "./utils/errorReporting";
 import { initNotificationPermission } from "./utils/generationNotifier";
@@ -48,6 +49,7 @@ const CommunityCaseAddPage = lazy(() => import("./features/community-review/Comm
 const CommunityReviewPage = lazy(() => import("./features/community-review/CommunityReviewPage"));
 const AvatarConsolePage = lazy(() => import("./features/digital-human/AvatarConsolePage"));
 const DigitalHumanPage = lazy(() => import("./features/digital-human/DigitalHumanPage"));
+const DialogGeneratorPage = lazy(() => import("./features/dialog-generator/DialogGeneratorPage"));
 const EcommercePage = lazy(() => import("./features/ecommerce/EcommercePage"));
 const HomePage = lazy(() => import("./features/home/HomePage"));
 const ImageWorkbenchPage = lazy(() => import("./features/image-workbench/ImageWorkbenchPage"));
@@ -110,6 +112,7 @@ const VIEW_KEYS = new Set<WebViewKey>([
   "resolutionUpscale",
   "watermarkRemoval",
   "subtitleRemoval",
+  "dialogGenerator",
   "digitalHuman",
   "avatarConsole",
   "characterMix",
@@ -123,7 +126,28 @@ const VIEW_KEYS = new Set<WebViewKey>([
   "not-found",
 ]);
 
-const PUBLIC_VIEW_SET = new Set<WebViewKey>(["home", "login", "community", "more", "userAgreement", "privacyPolicy", "not-found"]);
+const PUBLIC_VIEW_SET = new Set<WebViewKey>(["home", "login", "community", "more", "dialogGenerator", "userAgreement", "privacyPolicy", "not-found"]);
+const LEGACY_PAGE_STYLE_VIEWS = new Set<WebViewKey>([
+  "login",
+  "workbench",
+  "canvas",
+  "community",
+  "communityReview",
+  "communityCaseAdd",
+  "assets",
+  "ecommerce",
+  "ecommerceHub",
+  "digitalHuman",
+  "characterMix",
+  "more",
+]);
+
+let legacyPageStylesPromise: Promise<unknown> | null = null;
+
+function loadLegacyPageStyles(): Promise<unknown> {
+  legacyPageStylesPromise ??= import("./styles/pages/legacy-pages.css");
+  return legacyPageStylesPromise;
+}
 
 function normalizeViewKey(rawView: string): WebViewKey {
   const normalized =
@@ -231,61 +255,122 @@ function App() {
   const canvasAutoOpenedRecentRef = useRef(false);
 
   // Session store
-  const session = useSessionStore((s) => s.session);
-  const loginPromptOpen = useSessionStore((s) => s.loginPromptOpen);
-  const pendingAction = useSessionStore((s) => s.pendingAction);
-  const sessionReplacedOpen = useSessionStore((s) => s.sessionReplacedOpen);
-  const sessionReplacedMessage = useSessionStore((s) => s.sessionReplacedMessage);
-  const setSession = useSessionStore((s) => s.setSession);
-  const openLoginPrompt = useSessionStore((s) => s.openLoginPrompt);
-  const closeLoginPrompt = useSessionStore((s) => s.closeLoginPrompt);
-  const showSessionReplaced = useSessionStore((s) => s.showSessionReplaced);
-  const hideSessionReplaced = useSessionStore((s) => s.hideSessionReplaced);
-  const clearSessionState = useSessionStore((s) => s.clearSession);
+  const {
+    session,
+    loginPromptOpen,
+    pendingAction,
+    sessionReplacedOpen,
+    sessionReplacedMessage,
+    setSession,
+    openLoginPrompt,
+    closeLoginPrompt,
+    showSessionReplaced,
+    hideSessionReplaced,
+    clearSession: clearSessionState,
+  } = useSessionStore(useShallow((s) => ({
+    session: s.session,
+    loginPromptOpen: s.loginPromptOpen,
+    pendingAction: s.pendingAction,
+    sessionReplacedOpen: s.sessionReplacedOpen,
+    sessionReplacedMessage: s.sessionReplacedMessage,
+    setSession: s.setSession,
+    openLoginPrompt: s.openLoginPrompt,
+    closeLoginPrompt: s.closeLoginPrompt,
+    showSessionReplaced: s.showSessionReplaced,
+    hideSessionReplaced: s.hideSessionReplaced,
+    clearSession: s.clearSession,
+  })));
 
   // Project store
-  const projects = useProjectStore((s) => s.projects);
-  const projectsLoaded = useProjectStore((s) => s.projectsLoaded);
-  const canvasWorkflow = useProjectStore((s) => s.canvasWorkflow);
-  const currentCanvasProjectId = useProjectStore((s) => s.currentCanvasProjectId);
-  const pendingDeleteProject = useProjectStore((s) => s.pendingDeleteProject);
-  const deleteProjectSubmitting = useProjectStore((s) => s.deleteProjectSubmitting);
-  const setProjects = useProjectStore((s) => s.setProjects);
-  const setProjectsLoaded = useProjectStore((s) => s.setProjectsLoaded);
-  const setCanvasWorkflow = useProjectStore((s) => s.setCanvasWorkflow);
-  const setCurrentCanvasProjectId = useProjectStore((s) => s.setCurrentCanvasProjectId);
-  const openDeleteProjectModal = useProjectStore((s) => s.openDeleteProject);
-  const closeDeleteProjectModal = useProjectStore((s) => s.closeDeleteProject);
-  const setDeleteProjectSubmitting = useProjectStore((s) => s.setDeleteProjectSubmitting);
-  const clearProjectState = useProjectStore((s) => s.clearProjectState);
+  const {
+    projects,
+    projectsLoaded,
+    canvasWorkflow,
+    currentCanvasProjectId,
+    pendingDeleteProject,
+    deleteProjectSubmitting,
+    setProjects,
+    setProjectsLoaded,
+    setCanvasWorkflow,
+    setCurrentCanvasProjectId,
+    openDeleteProject: openDeleteProjectModal,
+    closeDeleteProject: closeDeleteProjectModal,
+    setDeleteProjectSubmitting,
+    clearProjectState,
+  } = useProjectStore(useShallow((s) => ({
+    projects: s.projects,
+    projectsLoaded: s.projectsLoaded,
+    canvasWorkflow: s.canvasWorkflow,
+    currentCanvasProjectId: s.currentCanvasProjectId,
+    pendingDeleteProject: s.pendingDeleteProject,
+    deleteProjectSubmitting: s.deleteProjectSubmitting,
+    setProjects: s.setProjects,
+    setProjectsLoaded: s.setProjectsLoaded,
+    setCanvasWorkflow: s.setCanvasWorkflow,
+    setCurrentCanvasProjectId: s.setCurrentCanvasProjectId,
+    openDeleteProject: s.openDeleteProject,
+    closeDeleteProject: s.closeDeleteProject,
+    setDeleteProjectSubmitting: s.setDeleteProjectSubmitting,
+    clearProjectState: s.clearProjectState,
+  })));
 
   // Task store
-  const tasks = useTaskStore((s) => s.tasks);
-  const appendTask = useTaskStore((s) => s.appendTask);
-  const mergeServerTasks = useTaskStore((s) => s.mergeServerTasks);
-  const clearTasks = useTaskStore((s) => s.clearTasks);
+  const {
+    tasks,
+    appendTask,
+    mergeServerTasks,
+    clearTasks,
+  } = useTaskStore(useShallow((s) => ({
+    tasks: s.tasks,
+    appendTask: s.appendTask,
+    mergeServerTasks: s.mergeServerTasks,
+    clearTasks: s.clearTasks,
+  })));
 
   // App store
-  const usage = useAppStore((s) => s.usage);
-  const runtimeNotifications = useAppStore((s) => s.runtimeNotifications);
-  const serverNotifications = useAppStore((s) => s.serverNotifications);
-  const activeView = useAppStore((s) => s.activeView);
-  const workspaceExpanded = useAppStore((s) => s.workspaceExpanded);
-  const imageWorkbenchTool = useAppStore((s) => s.imageWorkbenchTool);
-  const pendingEcommerceTemplate = useAppStore((s) => s.pendingEcommerceTemplate);
-  const backendHealth = useAppStore((s) => s.backendHealth);
-  const setUsage = useAppStore((s) => s.setUsage);
-  const pushNotification = useAppStore((s) => s.pushNotification);
-  const setRuntimeNotifications = useAppStore((s) => s.setRuntimeNotifications);
-  const setServerNotifications = useAppStore((s) => s.setServerNotifications);
-  const setView = useAppStore((s) => s.setView);
-  const setWorkspaceExpanded = useAppStore((s) => s.setWorkspaceExpanded);
-  const setImageWorkbenchTool = useAppStore((s) => s.setImageWorkbenchTool);
-  const setPendingEcommerceTemplate = useAppStore((s) => s.setPendingEcommerceTemplate);
-  const setBackendHealth = useAppStore((s) => s.setBackendHealth);
-  const markNotificationRead = useAppStore((s) => s.markNotificationRead);
-  const markAllNotificationsRead = useAppStore((s) => s.markAllNotificationsRead);
-  const clearAppState = useAppStore((s) => s.clearAppState);
+  const {
+    usage,
+    runtimeNotifications,
+    serverNotifications,
+    activeView,
+    workspaceExpanded,
+    imageWorkbenchTool,
+    pendingEcommerceTemplate,
+    backendHealth,
+    setUsage,
+    pushNotification,
+    setRuntimeNotifications,
+    setServerNotifications,
+    setView,
+    setWorkspaceExpanded,
+    setImageWorkbenchTool,
+    setPendingEcommerceTemplate,
+    setBackendHealth,
+    markNotificationRead,
+    markAllNotificationsRead,
+    clearAppState,
+  } = useAppStore(useShallow((s) => ({
+    usage: s.usage,
+    runtimeNotifications: s.runtimeNotifications,
+    serverNotifications: s.serverNotifications,
+    activeView: s.activeView,
+    workspaceExpanded: s.workspaceExpanded,
+    imageWorkbenchTool: s.imageWorkbenchTool,
+    pendingEcommerceTemplate: s.pendingEcommerceTemplate,
+    backendHealth: s.backendHealth,
+    setUsage: s.setUsage,
+    pushNotification: s.pushNotification,
+    setRuntimeNotifications: s.setRuntimeNotifications,
+    setServerNotifications: s.setServerNotifications,
+    setView: s.setView,
+    setWorkspaceExpanded: s.setWorkspaceExpanded,
+    setImageWorkbenchTool: s.setImageWorkbenchTool,
+    setPendingEcommerceTemplate: s.setPendingEcommerceTemplate,
+    setBackendHealth: s.setBackendHealth,
+    markNotificationRead: s.markNotificationRead,
+    markAllNotificationsRead: s.markAllNotificationsRead,
+    clearAppState: s.clearAppState,
+  })));
 
   const [ecommerceEverMounted, setEcommerceEverMounted] = useState(false);
   const isEcommerceActive = activeView === "ecommerce" || activeView === "ecommerceHub";
@@ -293,6 +378,12 @@ function App() {
     if (isEcommerceActive && !ecommerceEverMounted) setEcommerceEverMounted(true);
   }, [isEcommerceActive]); // eslint-disable-line react-hooks/exhaustive-deps
 
+  useEffect(() => {
+    if (LEGACY_PAGE_STYLE_VIEWS.has(activeView) || ecommerceEverMounted) {
+      void loadLegacyPageStyles();
+    }
+  }, [activeView, ecommerceEverMounted]);
+
   // Dismiss boot splash after first render
   useEffect(() => {
     const splash = document.getElementById("app-boot-splash");
@@ -1159,6 +1250,8 @@ function App() {
             onSelectView={handleSetView}
           />
         );
+      case "dialogGenerator":
+        return <DialogGeneratorPage />;
       case "report":
         return <ReportPage />;
       case "providerHealth":

src/api/aiGenerationClient.ts

@@ -3,6 +3,7 @@ import {
   buildAuthHeaders,
   isRecord,
   readJsonResponse,
+  serverRequest,
   throwResponseError,
 } from "./serverConnection";
 import { isOptionalApiRouteMissing } from "./apiErrorUtils";
@@ -134,6 +135,12 @@ export interface ChatInput {
   temperature?: number;
 }
 
+export interface ChatUsage {
+  promptTokens?: number;
+  completionTokens?: number;
+  totalTokens?: number;
+}
+
 export interface AiTaskStatus {
   taskId: string;
   projectId?: string;
@@ -159,7 +166,7 @@ function normalizeTaskStatus(status: AiTaskStatus["status"]): WebGenerationPrevi
 function taskTitle(task: AiTaskStatus): string {
   const prompt = typeof task.params?.prompt === "string" ? task.params.prompt.trim() : "";
   if (prompt) return prompt.length > 20 ? `${prompt.slice(0, 20)}...` : prompt;
-  return task.type === "video" ? "视频生成任务" : "图像生成任务";
+  return task.type === "video" ? "\u89c6\u9891\u751f\u6210\u4efb\u52a1" : "\u56fe\u50cf\u751f\u6210\u4efb\u52a1";
 }
 
 function toPreviewTask(task: AiTaskStatus): WebGenerationPreviewTask {
@@ -237,6 +244,10 @@ function emitImageRouteDebug(label: string, payload: Record<string, unknown>): v
 
 let taskHistoryRouteMissing = false;
 
+const TASK_SUBMIT_TIMEOUT_MS = 90_000;
+const TASK_STATUS_TIMEOUT_MS = 20_000;
+const NON_RETRYING_REQUEST = { maxRetries: 0 };
+
 export const aiGenerationClient = {
   async createImageTask(input: ImageGenInput): Promise<ImageTaskCreateResponse> {
     const requestUrl = buildApiUrl("ai/image");
@@ -250,15 +261,13 @@ export const aiGenerationClient = {
       projectId: input.projectId,
       conversationId: input.conversationId,
     });
-    const res = await fetch(requestUrl, {
+    const payload = await serverRequest<ImageTaskCreateResponse>("ai/image", {
       method: "POST",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify(input),
+      body: input,
+      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
+      maxRetries: NON_RETRYING_REQUEST.maxRetries,
+      fallbackMessage: "Image generation request failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Image generation request failed");
-    }
-    const payload = await readJsonResponse<ImageTaskCreateResponse>(res, "Image generation response failed");
     if (payload.providerDebug) {
       emitImageRouteDebug("[ai/image-provider-debug]", payload.providerDebug as Record<string, unknown>);
     }
@@ -266,96 +275,83 @@ export const aiGenerationClient = {
   },
 
   async createVideoTask(input: VideoGenInput): Promise<{ taskId: string }> {
-    const res = await fetch(buildApiUrl("ai/video"), {
+    return serverRequest<{ taskId: string }>("ai/video", {
       method: "POST",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify(input),
+      body: input,
+      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
+      maxRetries: NON_RETRYING_REQUEST.maxRetries,
+      fallbackMessage: "Video generation request failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Video generation request failed");
-    }
-    return readJsonResponse<{ taskId: string }>(res, "Video generation response failed");
   },
 
   async createVideoSuperResolveTask(input: VideoSuperResolveInput): Promise<{ taskId: string }> {
-    const res = await fetch(buildApiUrl("ai/video/super-resolve"), {
+    return serverRequest<{ taskId: string }>("ai/video/super-resolve", {
       method: "POST",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify(input),
+      body: input,
+      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
+      maxRetries: NON_RETRYING_REQUEST.maxRetries,
+      fallbackMessage: "Video super-resolution request failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Video super-resolution request failed");
-    }
-    return readJsonResponse<{ taskId: string }>(res, "Video super-resolution response failed");
   },
 
   async createEraseSubtitlesTask(input: EraseSubtitlesInput): Promise<{ taskId: string }> {
-    const res = await fetch(buildApiUrl("ai/video/erase-subtitles"), {
+    return serverRequest<{ taskId: string }>("ai/video/erase-subtitles", {
       method: "POST",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify(input),
+      body: input,
+      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
+      maxRetries: NON_RETRYING_REQUEST.maxRetries,
+      fallbackMessage: "Subtitle removal request failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Subtitle removal request failed");
-    }
-    return readJsonResponse<{ taskId: string }>(res, "Subtitle removal response failed");
   },
 
   async createVideoEditTask(input: VideoEditInput): Promise<{ taskId: string }> {
-    const res = await fetch(buildApiUrl("ai/video/edit"), {
+    return serverRequest<{ taskId: string }>("ai/video/edit", {
       method: "POST",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify({ ...input, model: input.model || "happyhorse-1.0-video-edit" }),
+      body: { ...input, model: input.model || "happyhorse-1.0-video-edit" },
+      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
+      maxRetries: NON_RETRYING_REQUEST.maxRetries,
+      fallbackMessage: "Video edit request failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Video edit request failed");
-    }
-    return readJsonResponse<{ taskId: string }>(res, "Video edit response failed");
   },
 
   async createImageSuperResolveTask(input: ImageSuperResolveInput): Promise<{ taskId: string }> {
-    const res = await fetch(buildApiUrl("ai/image/super-resolve"), {
+    return serverRequest<{ taskId: string }>("ai/image/super-resolve", {
       method: "POST",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify(input),
+      body: input,
+      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
+      maxRetries: NON_RETRYING_REQUEST.maxRetries,
+      fallbackMessage: "Image super-resolution request failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Image super-resolution request failed");
-    }
-    return readJsonResponse<{ taskId: string }>(res, "Image super-resolution response failed");
   },
 
   async createImageEditTask(input: ImageEditInput): Promise<{ taskId: string }> {
-    const res = await fetch(buildApiUrl("ai/image/edit"), {
+    return serverRequest<{ taskId: string }>("ai/image/edit", {
       method: "POST",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify(input),
+      body: input,
+      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
+      maxRetries: NON_RETRYING_REQUEST.maxRetries,
+      fallbackMessage: "Image edit request failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Image edit request failed");
-    }
-    return readJsonResponse<{ taskId: string }>(res, "Image edit response failed");
   },
 
   async cancelTask(taskId: string): Promise<void> {
-    const res = await fetch(buildApiUrl(`ai/tasks/${taskId}/cancel`), {
+    try {
+      await serverRequest<void>(`ai/tasks/${taskId}/cancel`, {
         method: "PATCH",
-      headers: buildAuthHeaders(),
+        maxRetries: NON_RETRYING_REQUEST.maxRetries,
+        fallbackMessage: "Task cancel failed",
       });
-    if (!res.ok && res.status !== 404) {
-      await throwResponseError(res, "Task cancel failed");
+    } catch (error) {
+      if (isOptionalApiRouteMissing(error)) return;
+      throw error;
     }
   },
 
   async getTaskStatus(taskId: string): Promise<AiTaskStatus> {
-    const res = await fetch(buildApiUrl(`ai/tasks/${taskId}`), {
-      method: "GET",
-      headers: buildAuthHeaders(),
+    return serverRequest<AiTaskStatus>(`ai/tasks/${taskId}`, {
+      timeoutMs: TASK_STATUS_TIMEOUT_MS,
+      fallbackMessage: "Task status request failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Task status request failed");
-    }
-    return readJsonResponse<AiTaskStatus>(res, "Task status response failed");
   },
 
   async downloadTaskResult(taskId: string): Promise<{ blob: Blob; filename?: string; contentType?: string }> {
@@ -381,13 +377,11 @@ export const aiGenerationClient = {
     if (params?.status) search.set("status", params.status);
     if (params?.type) search.set("type", params.type);
     if (params?.projectId) search.set("projectId", params.projectId);
-    const res = await fetch(buildApiUrl(`ai/tasks${search.toString() ? `?${search}` : ""}`), {
-      method: "GET",
-      headers: buildAuthHeaders(),
-    });
-    if (!res.ok) {
     try {
-        await throwResponseError(res, "Task history request failed");
+      const payload = await serverRequest<unknown>(`ai/tasks${search.toString() ? `?${search}` : ""}`, {
+        fallbackMessage: "Task history request failed",
+      });
+      return extractTaskList(payload).map(toPreviewTask);
     } catch (error) {
       if (isOptionalApiRouteMissing(error)) {
         taskHistoryRouteMissing = true;
@@ -395,35 +389,29 @@ export const aiGenerationClient = {
       }
       throw error;
     }
-    }
-    const payload = await readJsonResponse<unknown>(res, "Task history response failed");
-    return extractTaskList(payload).map(toPreviewTask);
   },
 
   async bindTaskToConversation(taskId: string, conversationId: number): Promise<void> {
-    const res = await fetch(buildApiUrl(`ai/tasks/${taskId}/conversation`), {
+    try {
+      await serverRequest<void>(`ai/tasks/${taskId}/conversation`, {
         method: "PATCH",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify({ conversationId }),
+        body: { conversationId },
+        maxRetries: NON_RETRYING_REQUEST.maxRetries,
+        fallbackMessage: "Task conversation binding failed",
       });
-    if (res.status === 404) {
-      return;
-    }
-    if (!res.ok) {
-      await throwResponseError(res, "Task conversation binding failed");
+    } catch (error) {
+      if (isOptionalApiRouteMissing(error)) return;
+      throw error;
     }
   },
 
   async uploadAsset(input: UploadAssetInput): Promise<{ url: string; signedUrl?: string; ossKey?: string }> {
-    const res = await fetch(buildApiUrl("oss/upload"), {
+    return serverRequest<{ url: string; signedUrl?: string; ossKey?: string }>("oss/upload", {
       method: "POST",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify(input),
+      body: input,
+      maxRetries: NON_RETRYING_REQUEST.maxRetries,
+      fallbackMessage: "Asset upload failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Asset upload failed");
-    }
-    return readJsonResponse<{ url: string; ossKey?: string }>(res, "Asset upload response failed");
   },
 
   async uploadAssetBinary(blob: Blob, options?: { name?: string; mimeType?: string; scope?: string }): Promise<{ url: string; signedUrl?: string; ossKey?: string }> {
@@ -445,15 +433,12 @@ export const aiGenerationClient = {
   },
 
   async uploadAssetByUrl(input: UploadAssetByUrlInput): Promise<{ url: string; signedUrl?: string; ossKey?: string }> {
-    const res = await fetch(buildApiUrl("oss/upload-by-url"), {
+    return serverRequest<{ url: string; signedUrl?: string; ossKey?: string }>("oss/upload-by-url", {
       method: "POST",
-      headers: buildAuthHeaders(),
-      body: JSON.stringify(input),
+      body: input,
+      maxRetries: NON_RETRYING_REQUEST.maxRetries,
+      fallbackMessage: "Asset upload by URL failed",
     });
-    if (!res.ok) {
-      await throwResponseError(res, "Asset upload by URL failed");
-    }
-    return readJsonResponse<{ url: string; ossKey?: string }>(res, "Asset upload by URL response failed");
   },
 
   subscribeTaskStatus(
@@ -500,6 +485,7 @@ export const aiGenerationClient = {
     input: ChatInput,
     onChunk: (text: string) => void,
     signal?: AbortSignal,
+    onUsage?: (usage: ChatUsage) => void,
   ): Promise<void> {
     const res = await fetch(buildApiUrl("ai/chat"), {
       method: "POST",
@@ -512,7 +498,7 @@ export const aiGenerationClient = {
     }
 
     const reader = res.body?.getReader();
-    if (!reader) throw new Error("无法读取响应流");
+    if (!reader) throw new Error("\u65e0\u6cd5\u8bfb\u53d6\u54cd\u5e94\u6d41");
 
     const decoder = new TextDecoder();
     let buffer = "";
@@ -529,8 +515,24 @@ export const aiGenerationClient = {
         const payload = line.slice(6).trim();
         if (!payload) continue;
         try {
-          const chunk = JSON.parse(payload) as { delta?: string; done?: boolean; error?: string };
+          const chunk = JSON.parse(payload) as {
+            delta?: string;
+            done?: boolean;
+            error?: string;
+            usage?: ChatUsage & {
+              prompt_tokens?: number;
+              completion_tokens?: number;
+              total_tokens?: number;
+            };
+          };
           if (chunk.error) throw new Error(chunk.error);
+          if (chunk.usage) {
+            onUsage?.({
+              promptTokens: chunk.usage.promptTokens ?? chunk.usage.prompt_tokens,
+              completionTokens: chunk.usage.completionTokens ?? chunk.usage.completion_tokens,
+              totalTokens: chunk.usage.totalTokens ?? chunk.usage.total_tokens,
+            });
+          }
           if (chunk.delta) onChunk(chunk.delta);
           if (chunk.done) return;
         } catch (e) {

src/api/providerHealthClient.ts

@@ -1,4 +1,4 @@
-import { buildApiUrl, buildAuthHeaders } from "./serverConnection";
+import { serverRequest } from "./serverConnection";
 
 export interface ProviderHealthEntry {
   status: string;
@@ -32,13 +32,8 @@ export interface ProviderHealthResponse {
 
 export const providerHealthClient = {
   async getStatus(): Promise<ProviderHealthResponse> {
-    const res = await fetch(buildApiUrl("admin/providers/status"), {
-      method: "GET",
-      headers: buildAuthHeaders(),
+    return serverRequest<ProviderHealthResponse>("admin/providers/status", {
+      fallbackMessage: "Provider health request failed",
     });
-    if (!res.ok) {
-      throw new Error(`Provider health request failed (${res.status})`);
-    }
-    return res.json() as Promise<ProviderHealthResponse>;
   },
 };

src/api/scriptEvalClient.ts

@@ -1,9 +1,11 @@
-import { buildApiUrl, buildAuthHeaders } from "./serverConnection";
+import { serverRequest } from "./serverConnection";
 
 export interface ScriptEvalResult {
   totalScore: number;
   grade: string;
   dimensionScores: Record<string, number>;
+  subScores?: Record<string, Record<string, number>>;
+  evidence?: Record<string, string[]>;
   summary: string;
   issues: string[];
   highlights: string[];
@@ -12,6 +14,33 @@ export interface ScriptEvalResult {
 
 const MODEL = "qwen3.7-max";
 
+const EVAL_OUTPUT_CONTRACT = `
+强制输出 JSON，主维度键名必须严格为：
+hook(20), plot(20), character(15), logic(15), visual(15), content(15)。
+不要把 dialogue 作为主维度返回；台词对白作为 character/plot/content 的证据和子项分析。
+
+同时返回 subScores 和 evidence：
+- subScores：每个主维度 3-5 个细分参数，分值按该维度满分拆分。
+- evidence：每个主维度 1-3 条具体证据，必须指向场景、台词、设定、冲突或段落。
+
+返回结构：
+{
+  "dimensionScores": { "hook": 数字, "plot": 数字, "character": 数字, "logic": 数字, "visual": 数字, "content": 数字 },
+  "subScores": {
+    "hook": { "openingImpact": 数字, "suspenseChain": 数字, "sceneHook": 数字 },
+    "plot": { "structure": 数字, "rhythm": 数字, "conflict": 数字, "reversal": 数字 },
+    "character": { "motivation": 数字, "arc": 数字, "voice": 数字, "relationship": 数字 },
+    "logic": { "causality": 数字, "worldRules": 数字, "foreshadowing": 数字, "continuity": 数字 },
+    "visual": { "sceneDetail": 数字, "shotPotential": 数字, "aigcFeasibility": 数字 },
+    "content": { "theme": 数字, "emotion": 数字, "marketFit": 数字, "originality": 数字 }
+  },
+  "evidence": { "hook": ["..."], "plot": ["..."], "character": ["..."], "logic": ["..."], "visual": ["..."], "content": ["..."] },
+  "summary": "200-300字综合评价",
+  "issues": ["具体扣分点，带维度和证据", ...],
+  "highlights": ["具体亮点，带维度和证据", ...],
+  "suggestions": ["按优先级排列的改稿建议", ...]
+}`;
+
 const EVAL_SYSTEM_PROMPT = `你是一位资深影视剧本评审专家，拥有二十年以上的编剧、制片和剧本医生经验。你精通各类影视叙事理论（三幕式、英雄之旅、起承转合、序列法），同时深度跟踪AIGC短剧/漫剧行业最新趋势。你的任务是对用户提供的剧本进行严谨、系统、多维度的量化评分。
 
 【剧本类型识别】
@@ -46,10 +75,10 @@ const EVAL_SYSTEM_PROMPT = `你是一位资深影视剧本评审专家，拥有
 const DIMENSION_WEIGHTS: Record<string, { maxScore: number }> = {
   hook: { maxScore: 20 },
   plot: { maxScore: 20 },
-  character: { maxScore: 18 },
-  dialogue: { maxScore: 15 },
+  character: { maxScore: 15 },
+  logic: { maxScore: 15 },
   visual: { maxScore: 15 },
-  content: { maxScore: 12 },
+  content: { maxScore: 15 },
 };
 
 function computeTotalAndGrade(scores: Record<string, number>): { totalScore: number; grade: string } {
@@ -68,29 +97,83 @@ function extractJson(text: string): unknown {
   return JSON.parse(raw);
 }
 
+function normalizeScoreValue(value: unknown, maxScore: number): number {
+  const score = Number(value);
+  if (!Number.isFinite(score)) return 0;
+  return Math.max(0, Math.min(maxScore, Math.round(score * 10) / 10));
+}
+
+function isRecord(value: unknown): value is Record<string, unknown> {
+  return Boolean(value && typeof value === "object" && !Array.isArray(value));
+}
+
+function normalizeEvidenceItems(source: unknown[], limit: number): string[] {
+  const items: string[] = [];
+  for (const item of source) {
+    const value = String(item).trim();
+    if (!value) continue;
+    items.push(value);
+    if (items.length >= limit) break;
+  }
+  return items;
+}
+
+function normalizeNestedScores(value: unknown): Record<string, Record<string, number>> {
+  if (!isRecord(value)) return {};
+
+  const normalized: Record<string, Record<string, number>> = {};
+  for (const [dimensionKey, dimension] of Object.entries(DIMENSION_WEIGHTS)) {
+    const source = value[dimensionKey] ?? (dimensionKey === "logic" ? value.dialogue : undefined);
+    if (!isRecord(source)) continue;
+
+    const entries = Object.entries(source)
+      .map(([key, score]) => [key, normalizeScoreValue(score, dimension.maxScore)] as const)
+      .filter(([, score]) => score > 0);
+    if (entries.length > 0) normalized[dimensionKey] = Object.fromEntries(entries);
+  }
+
+  return normalized;
+}
+
+function normalizeEvidence(value: unknown): Record<string, string[]> {
+  if (!isRecord(value)) return {};
+
+  const normalized: Record<string, string[]> = {};
+  for (const dimensionKey of Object.keys(DIMENSION_WEIGHTS)) {
+    const source = value[dimensionKey] ?? (dimensionKey === "logic" ? value.dialogue : undefined);
+    if (!Array.isArray(source)) continue;
+
+    const items = normalizeEvidenceItems(source, 3);
+    if (items.length > 0) normalized[dimensionKey] = items;
+  }
+
+  return normalized;
+}
+
 export async function evaluateScript(script: string, signal?: AbortSignal): Promise<ScriptEvalResult> {
-  const res = await fetch(buildApiUrl("ai/chat"), {
+  const payload = await serverRequest<{
+    content?: string;
+    choices?: Array<{ message?: { content?: string } }>;
+    text?: string;
+  }>("ai/chat", {
     method: "POST",
-    headers: buildAuthHeaders(),
-    body: JSON.stringify({
+    body: {
       model: MODEL,
       messages: [
         { role: "system", content: EVAL_SYSTEM_PROMPT },
+        { role: "system", content: EVAL_OUTPUT_CONTRACT },
         { role: "user", content: `请评测以下剧本：\n\n${script.slice(0, 8000)}` },
       ],
       stream: false,
       temperature: 0.3,
       max_tokens: 4096,
-    }),
+    },
     signal,
+    timeoutMs: 180_000,
+    maxRetries: 0,
+    fallbackMessage: "评测请求失败",
   });
 
-  if (!res.ok) {
-    const errText = await res.text().catch(() => "");
-    throw new Error(`评测请求失败 (${res.status}): ${errText.slice(0, 200)}`);
-  }
-
-  const payload = await res.json();
   const content: string = payload?.content ?? payload?.choices?.[0]?.message?.content ?? payload?.text ?? "";
 
   if (!content) throw new Error("模型未返回有效内容");
@@ -101,8 +184,8 @@ export async function evaluateScript(script: string, signal?: AbortSignal): Prom
   if (!rawScores || typeof rawScores !== "object") throw new Error("评分格式异常");
 
   for (const key of Object.keys(DIMENSION_WEIGHTS)) {
-    const val = Number(rawScores[key] ?? 0);
-    dimensionScores[key] = Math.max(0, Math.min(DIMENSION_WEIGHTS[key].maxScore, val));
+    const rawValue = key === "logic" ? rawScores.logic ?? rawScores.dialogue : rawScores[key];
+    dimensionScores[key] = normalizeScoreValue(rawValue, DIMENSION_WEIGHTS[key].maxScore);
   }
 
   const { totalScore, grade } = computeTotalAndGrade(dimensionScores);
@@ -111,6 +194,8 @@ export async function evaluateScript(script: string, signal?: AbortSignal): Prom
     totalScore,
     grade,
     dimensionScores,
+    subScores: normalizeNestedScores(parsed.subScores),
+    evidence: normalizeEvidence(parsed.evidence),
     summary: String(parsed.summary || ""),
     issues: Array.isArray(parsed.issues) ? parsed.issues.map(String) : [],
     highlights: Array.isArray(parsed.highlights) ? parsed.highlights.map(String) : [],

src/api/serverConnection.ts

@@ -22,6 +22,9 @@ export interface ServerRequestOptions {
   signal?: AbortSignal;
   /** Per-request timeout in ms. Defaults to DEFAULT_REQUEST_TIMEOUT_MS. Pass 0 to disable. */
   timeoutMs?: number;
+  /** Defaults to 2. Use 0 for non-idempotent task submission endpoints. */
+  maxRetries?: number;
+  fallbackMessage?: string;
 }
 
 export const DEFAULT_REQUEST_TIMEOUT_MS = 30_000;
@@ -343,8 +346,10 @@ const MAX_RETRIES = 2;
 export async function serverRequest<T>(path: string, options?: ServerRequestOptions): Promise<T> {
   let lastError: unknown;
   const timeoutMs = options?.timeoutMs ?? DEFAULT_REQUEST_TIMEOUT_MS;
+  const maxRetries = options?.maxRetries ?? MAX_RETRIES;
+  const fallbackMessage = options?.fallbackMessage || "Request failed";
 
-  for (let attempt = 0; attempt <= MAX_RETRIES; attempt++) {
+  for (let attempt = 0; attempt <= maxRetries; attempt++) {
     const controller = timeoutMs > 0 ? new AbortController() : null;
     const timeoutId =
       controller && typeof window !== "undefined"
@@ -366,11 +371,11 @@ export async function serverRequest<T>(path: string, options?: ServerRequestOpti
         credentials: "include",
       });
 
-      const payload = await readJsonResponse<unknown>(response, "Request failed");
+      const payload = await readJsonResponse<unknown>(response, fallbackMessage);
       return (options?.raw ? payload : unwrapApiPayload(payload)) as T;
     } catch (error) {
       lastError = error;
-      if (attempt < MAX_RETRIES && isRetryable(error) && !options?.signal?.aborted) {
+      if (attempt < maxRetries && isRetryable(error) && !options?.signal?.aborted) {
         await new Promise((r) => setTimeout(r, getRetryDelay(attempt, error)));
         continue;
       }

src/api/taskSubscription.ts

@@ -1,4 +1,9 @@
 import { aiGenerationClient } from "./aiGenerationClient";
+import {
+  buildLocalTimeoutMessage,
+  getTaskTimeoutPolicy,
+  isTaskLocallyTimedOut,
+} from "../utils/taskLifecycle";
 
 export interface TaskProgressEvent {
   taskId: string;
@@ -12,16 +17,28 @@ export interface WaitForTaskOptions {
   onProgress?: (event: TaskProgressEvent) => void;
   abortRef?: { current: boolean };
   timeoutMs?: number;
+  noProgressTimeoutMs?: number;
+  startedAt?: number;
+  kind?: "image" | "video" | "text";
+  model?: string | null;
+  operation?: string | null;
 }
 
 const POLL_INTERVAL = 3000;
-const DEFAULT_TIMEOUT = 30 * 60 * 1000;
 
 export function waitForTask(
   taskId: string,
   options: WaitForTaskOptions = {},
 ): Promise<string | null> {
-  const { onProgress, abortRef, timeoutMs = DEFAULT_TIMEOUT } = options;
+  const { onProgress, abortRef } = options;
+  const timeoutPolicy = getTaskTimeoutPolicy({
+    kind: options.kind,
+    model: options.model,
+    operation: options.operation,
+  });
+  const timeoutMs = options.timeoutMs ?? timeoutPolicy.maxRuntimeMs;
+  const noProgressTimeoutMs = options.noProgressTimeoutMs ?? timeoutPolicy.noProgressTimeoutMs;
+  const startedAt = options.startedAt ?? Date.now();
 
   return new Promise((resolve, reject) => {
     let settled = false;
@@ -29,6 +46,8 @@ export function waitForTask(
     let timeoutId: ReturnType<typeof setTimeout> | null = null;
     let sseConnected = false;
     let fallbackTimerId: ReturnType<typeof setTimeout> | null = null;
+    let lastProgress = 0;
+    let lastProgressAt = startedAt;
 
     const settle = (fn: () => void) => {
       if (settled) return;
@@ -40,7 +59,7 @@ export function waitForTask(
     };
 
     timeoutId = setTimeout(
-      () => settle(() => reject(new Error("等待任务结果超时，请稍后在任务历史中查看"))),
+      () => settle(() => reject(new Error(buildLocalTimeoutMessage(options.kind || "video")))),
       timeoutMs,
     );
 
@@ -50,19 +69,22 @@ export function waitForTask(
         settle(() => resolve(null));
         return;
       }
+      const progress = Number(event.progress || 0);
+      if (progress > lastProgress || event.status === "completed") {
+        lastProgress = Math.max(lastProgress, progress);
+        lastProgressAt = Date.now();
+      }
       onProgress?.(event);
       if (event.status === "completed") {
         settle(() => resolve(event.resultUrl || null));
       } else if (event.status === "failed" || event.status === "cancelled") {
-        settle(() => reject(new Error(event.error || "任务失败")));
+        settle(() => reject(new Error(event.error || "任务失败，请稍后重试")));
       }
     };
 
-    // Try SSE first
     cleanup = aiGenerationClient.subscribeTaskStatus(taskId, handleUpdate);
     sseConnected = true;
 
-    // Fallback: if SSE doesn't deliver any event within 5s, switch to polling
     fallbackTimerId = setTimeout(() => {
       if (settled || !sseConnected) return;
       if (cleanup) cleanup();
@@ -72,9 +94,22 @@ export function waitForTask(
     function startPolling() {
       const poll = async () => {
         while (!settled) {
-          if (abortRef?.current) { settle(() => resolve(null)); return; }
+          if (abortRef?.current) {
+            settle(() => resolve(null));
+            return;
+          }
           await new Promise((r) => setTimeout(r, POLL_INTERVAL));
           if (settled || abortRef?.current) return;
+          const timeoutReason = isTaskLocallyTimedOut({
+            startedAt,
+            lastProgressAt,
+            progress: lastProgress,
+            policy: { ...timeoutPolicy, noProgressTimeoutMs },
+          });
+          if (timeoutReason) {
+            settle(() => reject(new Error(buildLocalTimeoutMessage(options.kind || "video"))));
+            return;
+          }
           try {
             const task = await aiGenerationClient.getTaskStatus(taskId);
             handleUpdate({
@@ -89,7 +124,7 @@ export function waitForTask(
           }
         }
       };
-      poll();
+      void poll();
     }
   });
 }

src/api/webGenerationGateway.ts

@@ -103,7 +103,7 @@ export const webGenerationGateway = {
         prompt,
         createdAt,
         source: "server",
-        errorMessage: err instanceof Error ? err.message : "请求失败",
+        errorMessage: err instanceof Error ? err.message : "请求失败，请稍后重试",
       };
     }
   },

src/components/AppShell.tsx

@@ -13,6 +13,7 @@ import {
 import { useEffect, useMemo, useRef, useState } from "react";
 import type { ReactNode } from "react";
 import { publicConfigClient, type WebPublicConfig } from "../api/publicConfigClient";
+import { toast } from "./toast/toastStore";
 import type { ServerConnectionHealth } from "../api/serverConnection";
 import { ossAssets } from "../data/ossAssets";
 import { canManageCommunityCases, canReviewCommunity } from "../features/community-review/communityPermissions";
@@ -40,6 +41,32 @@ interface AppShellProps {
 }
 
 const BRAND_LOGO_URL = ossAssets.brand.logo;
+const TOOL_SURFACE_VIEW_SET = new Set<WebViewKey>([
+  "workbench",
+  "canvas",
+  "more",
+  "scriptTokens",
+  "tokenUsage",
+  "ecommerceTemplates",
+  "sizeTemplate",
+  "imageWorkbench",
+  "resolutionUpscale",
+  "digitalHuman",
+  "dialogGenerator",
+  "avatarConsole",
+  "characterMix",
+] as WebViewKey[]);
+const PRIMARY_NAV_ORDER: WebViewKey[] = [
+  "workbench",
+  "ecommerce",
+  "sizeTemplate",
+  "canvas",
+  "scriptTokens",
+  "tokenUsage",
+  "community",
+  "assets",
+  "more",
+];
 
 function formatBalance(cents: number): string {
   const value = Math.max(0, cents) / 100;
@@ -74,37 +101,12 @@ function AppShell({
   const [navJustActivated, setNavJustActivated] = useState<WebViewKey | null>(null);
   const isAuthView = activeView === "login";
   const isImmersiveView = activeView === "agent" || activeView === "avatarConsole";
-  const showFloatingNav = (!isAuthView || !!session) && !isImmersiveView && activeView !== "home";
-  const toolSurfaceViews = [
-    "workbench",
-    "canvas",
-    "more",
-    "scriptTokens",
-    "tokenUsage",
-    "ecommerceTemplates",
-    "sizeTemplate",
-    "imageWorkbench",
-    "resolutionUpscale",
-    "digitalHuman",
-    "avatarConsole",
-    "characterMix",
-  ] as WebViewKey[];
-  const showPageScrollActions = showFloatingNav && !toolSurfaceViews.includes(activeView);
+  const showFloatingNav = !isAuthView && !isImmersiveView && activeView !== "home";
+  const showPageScrollActions = showFloatingNav && !TOOL_SURFACE_VIEW_SET.has(activeView);
 
   const visibleNavItems = useMemo(
     () => {
-      const orderedKeys: WebViewKey[] = [
-        "workbench",
-        "ecommerce",
-        "sizeTemplate",
-        "canvas",
-        "scriptTokens",
-        "tokenUsage",
-        "community",
-        "assets",
-        "more",
-      ];
-      return orderedKeys
+      return PRIMARY_NAV_ORDER
         .map((key) => navItems.find((item) => item.key === key))
         .filter((item): item is WebNavItem => Boolean(item));
     },
@@ -369,7 +371,7 @@ function AppShell({
                 className="member-button"
                 type="button"
                 aria-label={`积分余额 ${displayedBalanceLabel}`}
-                onClick={() => setRechargeOpen(true)}
+                onClick={() => toast.info("充值功能即将开放，敬请期待")}
               >
                 <WalletOutlined />
                 <span className="member-button__label">{displayedBalanceLabel}</span>

src/components/NotFoundPage.tsx

@@ -1,5 +1,6 @@
 import { HomeOutlined } from "@ant-design/icons";
 import { useCallback } from "react";
+import "../styles/pages/not-found.css";
 
 interface NotFoundPageProps {
   onGoHome: () => void;

src/components/PageTransition.tsx

@@ -23,6 +23,7 @@ const NAV_ORDER: string[] = [
   "resolutionUpscale",
   "watermarkRemoval",
   "subtitleRemoval",
+  "dialogGenerator",
   "digitalHuman",
   "avatarConsole",
   "characterMix",

src/data/ossAssets.ts

@@ -21,7 +21,7 @@ export const ossAssets = {
   },
   home: {
     backgroundVideo: muban("hero-bg.mp4"),
-    heroSlides: [muban("hero-1.png"), muban("hero-2.png"), muban("hero-3.png")],
+    heroSlides: [oss("static/banners/light2_轮播1.jpg"), oss("static/banners/light2_轮播2.jpg"), oss("static/banners/light2_轮播3.jpg")],
     features: {
       ecommerce: muban("feature-ecommerce.jpg"),
       script: muban("feature-script.jpg"),

src/features/agent/AgentPage.tsx

@@ -14,6 +14,7 @@ import {
   ThunderboltOutlined,
 } from "@ant-design/icons";
 import { useRef, useState } from "react";
+import "../../styles/pages/agent.css";
 import WorkspacePageShell from "../../components/WorkspacePageShell";
 import type { WebGenerationPreviewTask } from "../../types";
 

src/features/assets/AssetsPage.tsx

@@ -11,6 +11,7 @@ import {
   UserOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useMemo, useRef, useState, type JSX } from "react";
+import "../../styles/pages/assets.css";
 import { assetClient, type ServerAssetItem } from "../../api/assetClient";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { useDebounce } from "../../hooks/useDebounce";

src/features/canvas/CanvasMarkingPopover.tsx

@@ -0,0 +1,40 @@
+interface CanvasMarkingPopoverProps {
+  value?: string;
+  placeholder: string;
+  onChange: (value: string) => void;
+  onClear: () => void;
+  onDone: () => void;
+}
+
+export function CanvasMarkingPopover({
+  value,
+  placeholder,
+  onChange,
+  onClear,
+  onDone,
+}: CanvasMarkingPopoverProps) {
+  return (
+    <div
+      className="studio-canvas-marking-popover"
+      onMouseDown={(event) => event.stopPropagation()}
+      onClick={(event) => event.stopPropagation()}
+    >
+      <textarea
+        className="studio-canvas-marking-input"
+        placeholder={placeholder}
+        value={value || ""}
+        onChange={(event) => onChange(event.target.value)}
+      />
+      <div className="studio-canvas-marking-actions">
+        {value ? (
+          <button type="button" className="studio-canvas-marking-clear" onClick={onClear}>
+            清除
+          </button>
+        ) : null}
+        <button type="button" className="studio-canvas-marking-done" onClick={onDone}>
+          完成
+        </button>
+      </div>
+    </div>
+  );
+}

src/features/canvas/CanvasPage.tsx

@@ -28,10 +28,13 @@
 import {
   ReactFlow,
 } from "@xyflow/react";
+import "@xyflow/react/dist/style.css";
+import "../../styles/pages/canvas.css";
 import { useCallback, useEffect, useMemo, useRef, useState, type ChangeEvent, type CSSProperties, type MouseEvent, type WheelEvent } from "react";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { assetClient, type ServerAssetItem } from "../../api/assetClient";
 import { communityClient } from "../../api/communityClient";
+import { modelCapabilitiesClient } from "../../api/modelCapabilitiesClient";
 import type { CreatePreviewTaskInput } from "../../api/webGenerationGateway";
 import WorkspacePageShell from "../../components/WorkspacePageShell";
 import type {
@@ -52,6 +55,7 @@ import { useCanvasHistory, type CanvasHistorySnapshot } from "./useCanvasHistory
 import { useCanvasKeyboard } from "./useCanvasKeyboard";
 import { useCanvasNodeDrag } from "./useCanvasNodeDrag";
 import { useCanvasGeneration, addCanvasGenKeepalive, removeCanvasGenKeepalive } from "./useCanvasGeneration";
+import { useCanvasAssetSummary, useCanvasVisibleNodes } from "./useCanvasDerivedState";
 import {
   toHappyHorseDisplayModel,
 } from "../../utils/happyHorseRouting";
@@ -118,7 +122,7 @@ import {
   defaultVideoModel,
   image4kCapableModels,
   imageFocusRatioOptions,
-  imageModelOptions,
+  imageModelOptions as fallbackCanvasImageModelOptions,
   imageRatioOptions,
   textModelOptions,
   videoDurationOptions,
@@ -182,6 +186,9 @@ import {
 } from "./canvasWorkflowDeserialize";
 import { CanvasNodeToolbar, CanvasNodeVideoPlayer, CanvasSelectChip } from "./canvasComponents";
 import type { CanvasNodeToolbarAction } from "./canvasComponents";
+import { CanvasMarkingPopover } from "./CanvasMarkingPopover";
+import { CanvasPromptMentionTextarea, CanvasTextPromptComposer } from "./CanvasTextPromptComposer";
+import { CanvasMultiGridPanel, CanvasUpscalePanel, CanvasInpaintPanel } from "./canvasToolPanels";
 import { CanvasSmoothedProgressRing } from "./CanvasSmoothedProgressRing";
 
 const canvasEnterpriseVideoModelOptions: CanvasOption[] = ENTERPRISE_VIDEO_MODEL_OPTIONS.map((option) => ({
@@ -192,7 +199,6 @@ const canvasEnterpriseVideoModelOptions: CanvasOption[] = ENTERPRISE_VIDEO_MODEL
 // --- Canvas generation keep-alive (survives page refresh / view switch) ---
 
 const MENTION_TOKEN_RE = /@(?:图片|视频|文本)\d+/g;
-const MENTION_BOUNDARY_RE = /\s|[，。、；：！？?(){}[\]<>]/;
 
 function buildNodeMentionOptions(
   kind: CanvasNodeKind,
@@ -336,6 +342,7 @@ function CanvasPage({
   const [imageFocusNodeId, setImageFocusNodeId] = useState<string | null>(null);
   const [imageFocusDraft, setImageFocusDraft] = useState<CanvasImageFocusSelection | null>(null);
   const [imageFocusDrag, setImageFocusDrag] = useState<CanvasImageFocusDrag | null>(null);
+  const [canvasToolModal, setCanvasToolModal] = useState<{ tool: "multiGrid" | "upscale" | "inpaint"; imageNode: CanvasImageNode } | null>(null);
   const [stylePickerImageNodeId, setStylePickerImageNodeId] = useState<string | null>(null);
   const [stylePickerCases, setStylePickerCases] = useState<CanvasStyleCase[]>([]);
   const [stylePickerLoading, setStylePickerLoading] = useState(false);
@@ -352,6 +359,8 @@ function CanvasPage({
   const [projectNameEditing, setProjectNameEditing] = useState(false);
   const [videoNodeMenu, setVideoNodeMenu] = useState<{ left: number; top: number; nodeId: string } | null>(null);
   const [videoNodes, setVideoNodes] = useState<CanvasVideoNode[]>([]);
+  const [canvasImageModelOptions, setCanvasImageModelOptions] = useState<CanvasOption[]>(fallbackCanvasImageModelOptions);
+  const [canvasVideoModelOptions, setCanvasVideoModelOptions] = useState<CanvasOption[]>(canvasEnterpriseVideoModelOptions);
   const [selectedNode, setSelectedNode] = useState<CanvasSelectedNode | null>(null);
   const [selectedNodes, setSelectedNodes] = useState<CanvasSelectedNode[]>([]);
   const [selectionContextMenu, setSelectionContextMenu] = useState<CanvasFloatingMenuPosition | null>(null);
@@ -392,10 +401,12 @@ function CanvasPage({
   const suppressNextPaneClickRef = useRef(false);
   const canvasAutoSaveTimerRef = useRef<number | null>(null);
   const canvasAutoSaveIdleHandleRef = useRef<number | null>(null);
+  const canvasAutoSaveRetryTimerRef = useRef<number | null>(null);
   const canvasAutoSaveInFlightRef = useRef(false);
   const canvasAutoSavePendingRef = useRef(false);
   const lastAutoSavedWorkflowFingerprintRef = useRef("");
   const canvasAutoSaveHydrationRef = useRef(true);
+  const textNodeMentionFocusTimerRef = useRef<number | null>(null);
   const textNodeIdRef = useRef(9);
   const imageNodeIdRef = useRef(1);
   const videoNodeIdRef = useRef(1);
@@ -456,9 +467,39 @@ function CanvasPage({
     callbacksRef: dragCallbacksRef,
     suppressNextPaneClickRef,
   });
+
+  useEffect(() => {
+    let cancelled = false;
+
+    if (!isAuthenticated) {
+      setCanvasImageModelOptions(fallbackCanvasImageModelOptions);
+      setCanvasVideoModelOptions(canvasEnterpriseVideoModelOptions);
+      return () => {
+        cancelled = true;
+      };
+    }
+
+    modelCapabilitiesClient
+      .get()
+      .then((capabilities) => {
+        if (cancelled) return;
+        setCanvasImageModelOptions(capabilities.imageModels.length ? capabilities.imageModels : fallbackCanvasImageModelOptions);
+        setCanvasVideoModelOptions(capabilities.videoModels.length ? capabilities.videoModels : canvasEnterpriseVideoModelOptions);
+      })
+      .catch(() => {
+        if (cancelled) return;
+        setCanvasImageModelOptions(fallbackCanvasImageModelOptions);
+        setCanvasVideoModelOptions(canvasEnterpriseVideoModelOptions);
+      });
+
+    return () => {
+      cancelled = true;
+    };
+  }, [isAuthenticated]);
+
   const visibleImageModelOptions = useMemo(
-    () => filterImageModelOptionsForSession(imageModelOptions, session),
-    [session],
+    () => filterImageModelOptionsForSession(canvasImageModelOptions, session),
+    [canvasImageModelOptions, session],
   );
   const fallbackVisibleImageModel = visibleImageModelOptions[0]?.value || defaultImageModel;
   const resolveVisibleImageModel = useCallback(
@@ -484,7 +525,11 @@ function CanvasPage({
     else if (kind === "video") updateVideoNodePrompt(nodeId, nextValue);
     else updateTextNodePrompt(nodeId, nextValue);
     closeTextNodeMention(nodeId);
-    setTimeout(() => {
+    if (textNodeMentionFocusTimerRef.current !== null) {
+      window.clearTimeout(textNodeMentionFocusTimerRef.current);
+    }
+    textNodeMentionFocusTimerRef.current = window.setTimeout(() => {
+      textNodeMentionFocusTimerRef.current = null;
       if (textarea) {
         textarea.focus();
         textarea.setSelectionRange(nextCaret, nextCaret);
@@ -520,10 +565,22 @@ function CanvasPage({
   const [autoSaveStatus, setAutoSaveStatus] = useState<"saved" | "saving" | "error" | "idle">("idle");
   const autoSaveStatusTimerRef = useRef<number | null>(null);
 
+  useEffect(() => {
+    return () => {
+      if (canvasAutoSaveTimerRef.current !== null) window.clearTimeout(canvasAutoSaveTimerRef.current);
+      if (canvasAutoSaveRetryTimerRef.current !== null) window.clearTimeout(canvasAutoSaveRetryTimerRef.current);
+      if (autoSaveStatusTimerRef.current !== null) window.clearTimeout(autoSaveStatusTimerRef.current);
+      if (textNodeMentionFocusTimerRef.current !== null) window.clearTimeout(textNodeMentionFocusTimerRef.current);
+      if (canvasAutoSaveIdleHandleRef.current !== null && "cancelIdleCallback" in window) {
+        window.cancelIdleCallback(canvasAutoSaveIdleHandleRef.current);
+      }
+    };
+  }, []);
+
   // Save immediately when user leaves page or switches tab (placed after runCanvasAutoSave definition)
   // — see useEffect below near runCanvasAutoSave
 
-  const canvasAssets = serverAssets.filter((asset) => asset.imageUrl);
+  const { canvasAssets, assetCountsByCategory } = useCanvasAssetSummary(serverAssets);
   const shouldShowEmptyProjectState =
     projectsLoaded && projects.length === 0 && !projectId && workflow.source === "blank" && workflow.nodes.length === 0;
   const isWaitingForProjects = isAuthenticated && !projectsLoaded;
@@ -2585,13 +2642,17 @@ function CanvasPage({
     setConnectorDrag(null);
   };
 
-  const collapsedPackageNodeKeys = new Set(
-    nodePackages.flatMap((nodePackage) =>
-      nodePackage.collapsed ? nodePackage.nodeIds.map((node) => getCanvasSelectionKey(node)) : []
-    )
-  );
-  const isNodeCollapsedInPackage = (kind: CanvasNodeKind, id: string) =>
-    collapsedPackageNodeKeys.has(getCanvasSelectionKey({ kind, id }));
+  const {
+    isNodeCollapsedInPackage,
+    visibleTextNodes,
+    visibleImageNodes,
+    visibleVideoNodes,
+  } = useCanvasVisibleNodes({
+    textNodes,
+    imageNodes,
+    videoNodes,
+    nodePackages,
+  });
   const isLinkCollapsedInPackage = (link: { sourceKind: CanvasNodeKind; sourceNodeId: string; targetKind: CanvasNodeKind; targetNodeId: string }) =>
     isNodeCollapsedInPackage(link.sourceKind, link.sourceNodeId) ||
     isNodeCollapsedInPackage(link.targetKind, link.targetNodeId);
@@ -2824,7 +2885,7 @@ function CanvasPage({
         if (targetPort) {
           connectCanvasPorts(connectorDrag.port, targetPort);
         } else {
-          const menuPosition = positionFloatingMenu(event.clientX, event.clientY, 200, 160, 0);
+          const menuPosition = positionFloatingMenu(event.clientX, event.clientY, 200, 160, -40);
           setConnectionDropMenu({
             ...menuPosition,
             originLeft: event.clientX,
@@ -3124,7 +3185,13 @@ function CanvasPage({
       canvasAutoSaveInFlightRef.current = false;
       if (canvasAutoSavePendingRef.current) {
         canvasAutoSavePendingRef.current = false;
-        window.setTimeout(() => void runCanvasAutoSave(), canvasAutoSaveIdleTimeoutMs);
+        if (canvasAutoSaveRetryTimerRef.current !== null) {
+          window.clearTimeout(canvasAutoSaveRetryTimerRef.current);
+        }
+        canvasAutoSaveRetryTimerRef.current = window.setTimeout(() => {
+          canvasAutoSaveRetryTimerRef.current = null;
+          void runCanvasAutoSave();
+        }, canvasAutoSaveIdleTimeoutMs);
       }
     }
   }, [
@@ -3193,7 +3260,13 @@ function CanvasPage({
         );
         return;
       }
-      window.setTimeout(() => void runCanvasAutoSave(), canvasAutoSaveIdleTimeoutMs);
+      if (canvasAutoSaveRetryTimerRef.current !== null) {
+        window.clearTimeout(canvasAutoSaveRetryTimerRef.current);
+      }
+      canvasAutoSaveRetryTimerRef.current = window.setTimeout(() => {
+        canvasAutoSaveRetryTimerRef.current = null;
+        void runCanvasAutoSave();
+      }, canvasAutoSaveIdleTimeoutMs);
     }, canvasAutoSaveDebounceMs);
 
     return () => {
@@ -3205,6 +3278,10 @@ function CanvasPage({
         window.cancelIdleCallback(canvasAutoSaveIdleHandleRef.current);
         canvasAutoSaveIdleHandleRef.current = null;
       }
+      if (canvasAutoSaveRetryTimerRef.current !== null) {
+        window.clearTimeout(canvasAutoSaveRetryTimerRef.current);
+        canvasAutoSaveRetryTimerRef.current = null;
+      }
     };
   }, [
     isAuthenticated,
@@ -3750,12 +3827,12 @@ function CanvasPage({
             onPaneContextMenu={(shouldShowEmptyProjectState || isWaitingForProjects) ? undefined : handlePaneContextMenu}
           />
           <div className="studio-canvas-zoom-controls" onMouseDown={(e) => e.stopPropagation()}>
-            <button type="button" title="缩小" onClick={zoomCanvasOut}>−</button>
-            <button type="button" className="studio-canvas-zoom-controls__pct" title="重置缩放" onClick={resetCanvasZoom}>
+            <button type="button" title="缩小" aria-label="缩小" onClick={zoomCanvasOut}>−</button>
+            <button type="button" className="studio-canvas-zoom-controls__pct" title="重置缩放" aria-label="重置缩放" onClick={resetCanvasZoom}>
               {Math.round(canvasViewport.zoom * 100)}%
             </button>
-            <button type="button" title="放大" onClick={zoomCanvasIn}>+</button>
-            <button type="button" title="适应视图" onClick={fitCanvasView}>⊡</button>
+            <button type="button" title="放大" aria-label="放大" onClick={zoomCanvasIn}>+</button>
+            <button type="button" title="适应视图" aria-label="适应视图" onClick={fitCanvasView}>⊡</button>
           </div>
           {(shouldShowEmptyProjectState || isWaitingForProjects) ? (
             <div
@@ -3931,7 +4008,7 @@ function CanvasPage({
               ) : null}
             </svg>
           ) : null}
-          {textNodes.filter((textNode) => !isNodeCollapsedInPackage("text", textNode.id)).map((textNode) => {
+          {visibleTextNodes.map((textNode) => {
             const textNodeSelected = isSelectedNode("text", textNode.id);
             const textNodeActive = isActiveSelectedNode("text", textNode.id);
             const textNodeResizing = nodeResizeDrag?.kind === "text" && nodeResizeDrag.nodeId === textNode.id;
@@ -4080,126 +4157,26 @@ function CanvasPage({
                     onMouseDown={(event) => handleNodeResizeStart(event, "text", textNode.id, textNode.size)}
                   />
                 </div>
-                {textNodeActive && !isCanvasNodeMoving ? (() => {
-                  const mentionOptions = buildNodeMentionOptions("text", textNode.id, imageNodes, videoNodes, textNodes, getIncomingCanvasPorts, manualLinks);
-                  const mentionState = textNodeMentionStates[textNode.id] || { open: false, query: "", start: 0, caret: 0, activeIndex: 0 };
-                  const filteredMentions = mentionState.open
-                    ? mentionOptions.filter((o) => !mentionState.query || o.searchText.includes(mentionState.query.toLowerCase()))
-                    : [];
-
-                  const handlePromptChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
-                    const value = e.target.value;
-                    const caret = e.target.selectionStart || 0;
-                    updateTextNodePrompt(textNode.id, value);
-
-                    // Detect @-mention trigger
-                    const beforeCaret = value.slice(0, caret);
-                    const atIdx = beforeCaret.lastIndexOf("@");
-                    if (atIdx >= 0) {
-                      const query = beforeCaret.slice(atIdx + 1);
-                      if (!MENTION_BOUNDARY_RE.test(query) && !query.includes(" ")) {
-                        setTextNodeMentionStates((prev) => ({ ...prev, [textNode.id]: { open: true, query, start: atIdx, caret, activeIndex: 0 } }));
-                        return;
-                      }
-                    }
-                    closeTextNodeMention(textNode.id);
-                  };
-
-                  const handlePromptKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
-                    if (!mentionState.open || filteredMentions.length === 0) return;
-                    if (e.key === "ArrowDown") {
-                      e.preventDefault();
-                      setTextNodeMentionStates((prev) => ({ ...prev, [textNode.id]: { ...mentionState, activeIndex: (mentionState.activeIndex + 1) % filteredMentions.length } }));
-                    } else if (e.key === "ArrowUp") {
-                      e.preventDefault();
-                      setTextNodeMentionStates((prev) => ({ ...prev, [textNode.id]: { ...mentionState, activeIndex: (mentionState.activeIndex - 1 + filteredMentions.length) % filteredMentions.length } }));
-                    } else if (e.key === "Enter" || e.key === "Tab") {
-                      e.preventDefault();
-                      const opt = filteredMentions[mentionState.activeIndex];
-                      if (opt) {
-                        const ta = e.currentTarget;
-                        insertTextNodeMention(textNode.id, opt, ta);
-                      }
-                    } else if (e.key === "Escape") {
-                      e.preventDefault();
-                      closeTextNodeMention(textNode.id);
-                    }
-                  };
-
-                  const handlePromptSelect = (e: React.SyntheticEvent<HTMLTextAreaElement>) => {
-                    const ta = e.currentTarget;
-                    const caret = ta.selectionStart || 0;
-                    setTextNodeMentionStates((prev) => {
-                      const cur = prev[textNode.id];
-                      if (!cur?.open) return prev;
-                      return { ...prev, [textNode.id]: { ...cur, caret } };
-                    });
-                  };
-
-                  return (
-                  <div className="studio-canvas-text-composer">
-                    <div className="studio-canvas-text-composer__input-wrap">
-                    <textarea
-                      value={textNode.prompt}
-                      onMouseDown={(event) => event.stopPropagation()}
-                      onChange={handlePromptChange}
-                      onKeyDown={handlePromptKeyDown}
-                      onSelect={handlePromptSelect}
-                      placeholder="写下你想讲的故事、场景或角色设定。@引用连接的节点"
+                {textNodeActive && !isCanvasNodeMoving ? (
+                  <CanvasTextPromptComposer
+                    nodeId={textNode.id}
+                    prompt={textNode.prompt}
+                    canGenerate={textNodeCanGenerate}
+                    isGenerating={textNodeGenerating}
+                    mentionOptions={buildNodeMentionOptions("text", textNode.id, imageNodes, videoNodes, textNodes, getIncomingCanvasPorts, manualLinks)}
+                    mentionState={textNodeMentionStates[textNode.id]}
+                    onPromptChange={updateTextNodePrompt}
+                    onMentionStateChange={setTextNodeMentionStates}
+                    onCloseMention={closeTextNodeMention}
+                    onInsertMention={insertTextNodeMention}
+                    onGenerate={handleGenerateTextNode}
                   />
-                    {mentionState.open ? (
-                      <div className="studio-canvas-mention-panel">
-                        {filteredMentions.length > 0 ? filteredMentions.map((opt, idx) => (
-                          <button
-                            key={opt.token}
-                            type="button"
-                            className={`studio-canvas-mention-item${idx === mentionState.activeIndex ? " is-active" : ""}`}
-                            onMouseDown={(e) => { e.preventDefault(); const ta = e.currentTarget.closest(".studio-canvas-text-composer")?.querySelector("textarea") || null; insertTextNodeMention(textNode.id, opt, ta as HTMLTextAreaElement | null); }}
-                          >
-                            <span className="studio-canvas-mention-thumb">
-                              {opt.kind === "image" && opt.previewUrl ? <img src={opt.previewUrl} alt="" /> : opt.kind === "image" ? "🖼" : opt.kind === "video" ? "🎬" : "📝"}
-                            </span>
-                            <span className="studio-canvas-mention-label">{opt.nodeTitle}</span>
-                            <span className="studio-canvas-mention-token">{opt.token}</span>
-                          </button>
-                        )) : (
-                          <div className="studio-canvas-mention-item" style={{ opacity: 0.5, pointerEvents: "none" }}>
-                            <span className="studio-canvas-mention-label">没有可引用的连接节点</span>
-                          </div>
-                        )}
-                      </div>
                 ) : null}
               </div>
-                  <div className="studio-canvas-text-composer__footer">
-                    <button
-                      type="button"
-                      className={`studio-canvas-text-composer__send studio-canvas-generate-button${textNodeCanGenerate && !textNodeGenerating ? " is-ready" : ""}`}
-                      title={textNodeGenerating ? "生成中" : "生成"}
-                      disabled={textNodeGenerating || !textNodeCanGenerate}
-                      aria-busy={textNodeGenerating}
-                      onMouseDown={(event) => {
-                        event.preventDefault();
-                        event.stopPropagation();
-                        if (!textNodeGenerating && textNodeCanGenerate) {
-                          void handleGenerateTextNode(textNode.id);
-                        }
-                      }}
-                      onClick={(event) => {
-                        event.preventDefault();
-                        event.stopPropagation();
-                      }}
-                    >
-                      <SendOutlined />
-                    </button>
-                  </div>
-                </div>
-                );
-              })() : null}
-              </div>
             </div>
             );
           })}
-          {imageNodes.filter((imageNode) => !isNodeCollapsedInPackage("image", imageNode.id)).map((imageNode) => {
+          {visibleImageNodes.map((imageNode) => {
             const imageNodeSelected = isSelectedNode("image", imageNode.id);
             const imageNodeActive = isActiveSelectedNode("image", imageNode.id);
             const imageNodeResizing = nodeResizeDrag?.kind === "image" && nodeResizeDrag.nodeId === imageNode.id;
@@ -4264,7 +4241,7 @@ function CanvasPage({
                         setSelectedExistingCategory("");
                         setSaveAssetOpen(true);
                       }
-                      if (key === "upscale") void handleGenerateImageNode(imageNode.id);
+                      if (key === "upscale") setCanvasToolModal({ tool: "upscale", imageNode });
                     }}
                     moreActions={[
                       { key: "copy", label: "复制链接", icon: <CopyOutlined />, disabled: !imageNode.imageUrl },
@@ -4457,38 +4434,7 @@ function CanvasPage({
                     </button>
                   </div>
                 ) : null}
-                {imageNodeActive && !isCanvasNodeMoving && !imageNodeFocusActive ? (() => {
-                  const imgMentionOptions = buildNodeMentionOptions("image", imageNode.id, imageNodes, videoNodes, textNodes, getIncomingCanvasPorts, manualLinks);
-                  const imgMentionState = textNodeMentionStates[imageNode.id] || { open: false, query: "", start: 0, caret: 0, activeIndex: 0 };
-                  const imgFilteredMentions = imgMentionState.open
-                    ? imgMentionOptions.filter((o) => !imgMentionState.query || o.searchText.includes(imgMentionState.query.toLowerCase()))
-                    : [];
-
-                  const handleImagePromptChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
-                    const value = e.target.value;
-                    const caret = e.target.selectionStart || 0;
-                    updateImageNodePrompt(imageNode.id, value);
-                    const beforeCaret = value.slice(0, caret);
-                    const atIdx = beforeCaret.lastIndexOf("@");
-                    if (atIdx >= 0) {
-                      const query = beforeCaret.slice(atIdx + 1);
-                      if (!MENTION_BOUNDARY_RE.test(query) && !query.includes(" ")) {
-                        setTextNodeMentionStates((prev) => ({ ...prev, [imageNode.id]: { open: true, query, start: atIdx, caret, activeIndex: 0 } }));
-                        return;
-                      }
-                    }
-                    closeTextNodeMention(imageNode.id);
-                  };
-
-                  const handleImagePromptKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
-                    if (!imgMentionState.open || imgFilteredMentions.length === 0) return;
-                    if (e.key === "ArrowDown") { e.preventDefault(); setTextNodeMentionStates((prev) => ({ ...prev, [imageNode.id]: { ...imgMentionState, activeIndex: (imgMentionState.activeIndex + 1) % imgFilteredMentions.length } })); }
-                    else if (e.key === "ArrowUp") { e.preventDefault(); setTextNodeMentionStates((prev) => ({ ...prev, [imageNode.id]: { ...imgMentionState, activeIndex: (imgMentionState.activeIndex - 1 + imgFilteredMentions.length) % imgFilteredMentions.length } })); }
-                    else if (e.key === "Enter" || e.key === "Tab") { e.preventDefault(); const opt = imgFilteredMentions[imgMentionState.activeIndex]; if (opt) insertTextNodeMention(imageNode.id, opt, e.currentTarget, "image"); }
-                    else if (e.key === "Escape") { e.preventDefault(); closeTextNodeMention(imageNode.id); }
-                  };
-
-                  return (
+                {imageNodeActive && !isCanvasNodeMoving && !imageNodeFocusActive ? (
                 <div className="studio-canvas-image-composer">
                   <div className="studio-canvas-image-composer__tools">
                     <button
@@ -4527,84 +4473,76 @@ function CanvasPage({
                     >
                       <FileImageOutlined /><span>标记</span>
                     </button>
-                    {markingPopoverNodeId === imageNode.id && (
-                      <div
-                        className="studio-canvas-marking-popover"
-                        onMouseDown={(e) => e.stopPropagation()}
-                        onClick={(e) => e.stopPropagation()}
-                      >
-                        <textarea
-                          className="studio-canvas-marking-input"
+                    {markingPopoverNodeId === imageNode.id ? (
+                      <CanvasMarkingPopover
+                        value={imageNode.marking}
                         placeholder="描述标记内容，如：主角站在桥上，远处是城市天际线"
-                          value={imageNode.marking || ""}
-                          onChange={(e) => {
-                            const val = e.target.value;
+                        onChange={(value) => {
                           setImageNodes((nodes) =>
-                              nodes.map((n) => (n.id === imageNode.id ? { ...n, marking: val } : n)),
+                            nodes.map((node) => (node.id === imageNode.id ? { ...node, marking: value } : node)),
                           );
                         }}
+                        onClear={() => {
+                          setImageNodes((nodes) =>
+                            nodes.map((node) => (node.id === imageNode.id ? { ...node, marking: "" } : node)),
+                          );
+                        }}
+                        onDone={() => setMarkingPopoverNodeId(null)}
                       />
-                        <div className="studio-canvas-marking-actions">
-                          {imageNode.marking && (
+                    ) : null}
                     <button
                       type="button"
-                              className="studio-canvas-marking-clear"
-                              onClick={() => {
-                                setImageNodes((nodes) =>
-                                  nodes.map((n) => (n.id === imageNode.id ? { ...n, marking: "" } : n)),
-                                );
-                              }}
-                            >
-                              清除
-                            </button>
-                          )}
-                          <button
-                            type="button"
-                            className="studio-canvas-marking-done"
-                            onClick={() => setMarkingPopoverNodeId(null)}
-                          >
-                            完成
-                          </button>
-                        </div>
-                      </div>
-                    )}
-                    <button
-                      type="button"
-                      className={imageNodeFocusActive ? "is-active" : ""}
-                      title="框选聚焦区域"
+                      title="多宫格生成"
+                      disabled={!imageNode.imageUrl}
                       onMouseDown={(event) => event.stopPropagation()}
                       onClick={(event) => {
                         event.preventDefault();
                         event.stopPropagation();
-                        openImageFocusMode(imageNode);
+                        setCanvasToolModal({ tool: "multiGrid", imageNode });
                       }}
                     >
-                      <BarsOutlined /><span>聚焦</span>
+                      <BarsOutlined /><span>多宫格</span>
+                    </button>
+                    <button
+                      type="button"
+                      title="图片超分辨率"
+                      disabled={!imageNode.imageUrl}
+                      onMouseDown={(event) => event.stopPropagation()}
+                      onClick={(event) => {
+                        event.preventDefault();
+                        event.stopPropagation();
+                        setCanvasToolModal({ tool: "upscale", imageNode });
+                      }}
+                    >
+                      <ThunderboltOutlined /><span>超分</span>
+                    </button>
+                    <button
+                      type="button"
+                      title="局部重绘"
+                      disabled={!imageNode.imageUrl}
+                      onMouseDown={(event) => event.stopPropagation()}
+                      onClick={(event) => {
+                        event.preventDefault();
+                        event.stopPropagation();
+                        setCanvasToolModal({ tool: "inpaint", imageNode });
+                      }}
+                    >
+                      <EditOutlined /><span>局部重绘</span>
                     </button>
                     <button type="button" className="studio-canvas-image-composer__expand" aria-label="展开">↗</button>
                   </div>
-                  <div className="studio-canvas-text-composer__input-wrap">
-                  <textarea
+                  <CanvasPromptMentionTextarea
+                    nodeId={imageNode.id}
                     value={imageNode.prompt}
-                    onMouseDown={(event) => event.stopPropagation()}
-                    onChange={handleImagePromptChange}
-                    onKeyDown={handleImagePromptKeyDown}
                     placeholder="描述你想要生成的画面内容，按/呼出指令，@引用素材"
+                    mentionOptions={buildNodeMentionOptions("image", imageNode.id, imageNodes, videoNodes, textNodes, getIncomingCanvasPorts, manualLinks)}
+                    mentionState={textNodeMentionStates[imageNode.id]}
+                    mentionKind="image"
+                    onPromptChange={updateImageNodePrompt}
+                    onMentionStateChange={setTextNodeMentionStates}
+                    onCloseMention={closeTextNodeMention}
+                    onInsertMention={insertTextNodeMention}
                   />
-                  {imgMentionState.open && (
-                    <div className="studio-canvas-mention-panel">
-                      {imgFilteredMentions.length > 0 ? imgFilteredMentions.map((opt, idx) => (
-                        <button key={opt.token} type="button" className={`studio-canvas-mention-item${idx === imgMentionState.activeIndex ? " is-active" : ""}`} onMouseDown={(e) => { e.preventDefault(); insertTextNodeMention(imageNode.id, opt, e.currentTarget.closest(".studio-canvas-image-composer")?.querySelector("textarea") || null, "image"); }}>
-                          <span className="studio-canvas-mention-thumb">{opt.kind === "image" && opt.previewUrl ? <img src={opt.previewUrl} alt="" /> : opt.kind === "image" ? "🖼" : opt.kind === "video" ? "🎬" : "📝"}</span>
-                          <span className="studio-canvas-mention-label">{opt.nodeTitle}</span>
-                          <span className="studio-canvas-mention-token">{opt.token}</span>
-                        </button>
-                      )) : (
-                        <div className="studio-canvas-mention-item" style={{ opacity: 0.5, pointerEvents: "none" }}><span className="studio-canvas-mention-label">没有可引用的连接节点</span></div>
-                      )}
-                    </div>
-                  )}
-                  </div>
                   <div className="studio-canvas-image-composer__footer">
                     <CanvasSelectChip
                       ariaLabel="选择生图模型"
@@ -4672,12 +4610,12 @@ function CanvasPage({
                     </button>
                   </div>
                 </div>
-                ); })() : null}
+                ) : null}
               </div>
             </div>
             );
           })}
-          {videoNodes.filter((videoNode) => !isNodeCollapsedInPackage("video", videoNode.id)).map((videoNode) => {
+          {visibleVideoNodes.map((videoNode) => {
             const videoNodeSelected = isSelectedNode("video", videoNode.id);
             const videoNodeActive = isActiveSelectedNode("video", videoNode.id);
             const videoNodeResizing = nodeResizeDrag?.kind === "video" && nodeResizeDrag.nodeId === videoNode.id;
@@ -4827,38 +4765,7 @@ function CanvasPage({
                     onMouseDown={(event) => handleNodeResizeStart(event, "video", videoNode.id, videoNode.size)}
                   />
                 </div>
-                {videoNodeActive && !isCanvasNodeMoving ? (() => {
-                  const vidMentionOptions = buildNodeMentionOptions("video", videoNode.id, imageNodes, videoNodes, textNodes, getIncomingCanvasPorts, manualLinks);
-                  const vidMentionState = textNodeMentionStates[videoNode.id] || { open: false, query: "", start: 0, caret: 0, activeIndex: 0 };
-                  const vidFilteredMentions = vidMentionState.open
-                    ? vidMentionOptions.filter((o) => !vidMentionState.query || o.searchText.includes(vidMentionState.query.toLowerCase()))
-                    : [];
-
-                  const handleVideoPromptChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
-                    const value = e.target.value;
-                    const caret = e.target.selectionStart || 0;
-                    updateVideoNodePrompt(videoNode.id, value);
-                    const beforeCaret = value.slice(0, caret);
-                    const atIdx = beforeCaret.lastIndexOf("@");
-                    if (atIdx >= 0) {
-                      const query = beforeCaret.slice(atIdx + 1);
-                      if (!MENTION_BOUNDARY_RE.test(query) && !query.includes(" ")) {
-                        setTextNodeMentionStates((prev) => ({ ...prev, [videoNode.id]: { open: true, query, start: atIdx, caret, activeIndex: 0 } }));
-                        return;
-                      }
-                    }
-                    closeTextNodeMention(videoNode.id);
-                  };
-
-                  const handleVideoPromptKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
-                    if (!vidMentionState.open || vidFilteredMentions.length === 0) return;
-                    if (e.key === "ArrowDown") { e.preventDefault(); setTextNodeMentionStates((prev) => ({ ...prev, [videoNode.id]: { ...vidMentionState, activeIndex: (vidMentionState.activeIndex + 1) % vidFilteredMentions.length } })); }
-                    else if (e.key === "ArrowUp") { e.preventDefault(); setTextNodeMentionStates((prev) => ({ ...prev, [videoNode.id]: { ...vidMentionState, activeIndex: (vidMentionState.activeIndex - 1 + vidFilteredMentions.length) % vidFilteredMentions.length } })); }
-                    else if (e.key === "Enter" || e.key === "Tab") { e.preventDefault(); const opt = vidFilteredMentions[vidMentionState.activeIndex]; if (opt) insertTextNodeMention(videoNode.id, opt, e.currentTarget, "video"); }
-                    else if (e.key === "Escape") { e.preventDefault(); closeTextNodeMention(videoNode.id); }
-                  };
-
-                  return (
+                {videoNodeActive && !isCanvasNodeMoving ? (
                 <div className="studio-canvas-video-composer">
                   <div className="studio-canvas-video-composer__tabs studio-canvas-video-composer__mode-tabs">
                     <button
@@ -4913,47 +4820,23 @@ function CanvasPage({
                     >
                       运镜{videoNode.cameraMotion ? ` ${CAMERA_MOTION_PRESETS.find((p) => p.value === videoNode.cameraMotion)?.label || ""}` : ""}
                     </button>
-                    {markingPopoverNodeId === videoNode.id && (
-                      <div
-                        className="studio-canvas-marking-popover"
-                        onMouseDown={(e) => e.stopPropagation()}
-                        onClick={(e) => e.stopPropagation()}
-                      >
-                        <textarea
-                          className="studio-canvas-marking-input"
+                    {markingPopoverNodeId === videoNode.id ? (
+                      <CanvasMarkingPopover
+                        value={videoNode.marking}
                         placeholder="描述标记内容，如：主角在城市街头行走"
-                          value={videoNode.marking || ""}
-                          onChange={(e) => {
-                            const val = e.target.value;
+                        onChange={(value) => {
                           setVideoNodes((nodes) =>
-                              nodes.map((n) => (n.id === videoNode.id ? { ...n, marking: val } : n)),
+                            nodes.map((node) => (node.id === videoNode.id ? { ...node, marking: value } : node)),
                           );
                         }}
+                        onClear={() => {
+                          setVideoNodes((nodes) =>
+                            nodes.map((node) => (node.id === videoNode.id ? { ...node, marking: "" } : node)),
+                          );
+                        }}
+                        onDone={() => setMarkingPopoverNodeId(null)}
                       />
-                        <div className="studio-canvas-marking-actions">
-                          {videoNode.marking && (
-                            <button
-                              type="button"
-                              className="studio-canvas-marking-clear"
-                              onClick={() => {
-                                setVideoNodes((nodes) =>
-                                  nodes.map((n) => (n.id === videoNode.id ? { ...n, marking: "" } : n)),
-                                );
-                              }}
-                            >
-                              清除
-                            </button>
-                          )}
-                          <button
-                            type="button"
-                            className="studio-canvas-marking-done"
-                            onClick={() => setMarkingPopoverNodeId(null)}
-                          >
-                            完成
-                          </button>
-                        </div>
-                      </div>
-                    )}
+                    ) : null}
                     {cameraMotionDropdownNodeId === videoNode.id && (
                       <div
                         className="studio-canvas-camera-dropdown"
@@ -4980,43 +4863,24 @@ function CanvasPage({
                     <button type="button">角色库</button>
                     <button type="button" className="is-active">文本</button>
                   </div>
-                  <div className="studio-canvas-text-composer__input-wrap">
-                  <textarea
+                  <CanvasPromptMentionTextarea
+                    nodeId={videoNode.id}
                     value={videoNode.prompt}
-                    onMouseDown={(event) => event.stopPropagation()}
-                    onChange={handleVideoPromptChange}
-                    onKeyDown={handleVideoPromptKeyDown}
                     placeholder="根据文字描述生成视频。"
+                    mentionOptions={buildNodeMentionOptions("video", videoNode.id, imageNodes, videoNodes, textNodes, getIncomingCanvasPorts, manualLinks)}
+                    mentionState={textNodeMentionStates[videoNode.id]}
+                    mentionKind="video"
+                    onPromptChange={updateVideoNodePrompt}
+                    onMentionStateChange={setTextNodeMentionStates}
+                    onCloseMention={closeTextNodeMention}
+                    onInsertMention={insertTextNodeMention}
                   />
-                  {vidMentionState.open ? (
-                    <div className="studio-canvas-mention-panel">
-                      {vidFilteredMentions.length > 0 ? vidFilteredMentions.map((opt, idx) => (
-                        <button
-                          key={opt.token}
-                          type="button"
-                          className={`studio-canvas-mention-item${idx === vidMentionState.activeIndex ? " is-active" : ""}`}
-                          onMouseDown={(ev) => { ev.preventDefault(); insertTextNodeMention(videoNode.id, opt, ev.currentTarget.closest(".studio-canvas-text-composer__input-wrap")?.querySelector("textarea")!, "video"); }}
-                        >
-                          <span className={`studio-canvas-mention-icon studio-canvas-mention-icon--${opt.kind}`}>
-                            {opt.kind === "image" ? "🖼" : opt.kind === "video" ? "🎬" : "📝"}
-                          </span>
-                          <span className="studio-canvas-mention-label">{opt.nodeTitle}</span>
-                          <span className="studio-canvas-mention-token">{opt.token}</span>
-                        </button>
-                      )) : (
-                        <div className="studio-canvas-mention-item" style={{ opacity: 0.5, pointerEvents: "none" }}>
-                          <span className="studio-canvas-mention-label">没有可引用的连接节点</span>
-                        </div>
-                      )}
-                    </div>
-                  ) : null}
-                  </div>
                   <div className="studio-canvas-video-composer__footer studio-canvas-video-composer__settings">
                     <CanvasSelectChip
                       ariaLabel="选择视频模型"
                       className="canvas-select-chip--model studio-canvas-composer-chip"
                       value={toHappyHorseDisplayModel(videoNode.model || defaultVideoModel)}
-                      options={canvasEnterpriseVideoModelOptions}
+                      options={canvasVideoModelOptions}
                       open={canvasSelectMenu === `${videoNode.id}:video-model`}
                       onToggle={() =>
                         setCanvasSelectMenu((current) =>
@@ -5094,7 +4958,7 @@ function CanvasPage({
                     </button>
                   </div>
                 </div>
-                ); })() : null}
+                ) : null}
               </div>
             </div>
             );
@@ -5388,7 +5252,7 @@ function CanvasPage({
                             onClick={() => setSelectedExistingCategory(category.key)}
                           >
                             {category.label}
-                            <span>{serverAssets.filter((asset) => asset.type === category.key).length} 个素材</span>
+                            <span>{assetCountsByCategory.get(category.key) ?? 0} 个素材</span>
                           </button>
                         ))}
                       </div>
@@ -5729,6 +5593,27 @@ function CanvasPage({
         </section>
 
       </div>
+      {canvasToolModal && (
+        <div className="studio-canvas-tool-modal-overlay" onClick={() => setCanvasToolModal(null)}>
+          <div className="studio-canvas-tool-modal" onClick={(e) => e.stopPropagation()} role="dialog" aria-modal="true" aria-label={canvasToolModal.tool === "multiGrid" ? "多宫格" : canvasToolModal.tool === "upscale" ? "超分" : "局部重绘"}>
+            <header className="studio-canvas-tool-modal__header">
+              <h3>{canvasToolModal.tool === "multiGrid" ? "多宫格生成" : canvasToolModal.tool === "upscale" ? "图片超分" : "局部重绘"}</h3>
+              <button type="button" aria-label="关闭" onClick={() => setCanvasToolModal(null)}><CloseOutlined /></button>
+            </header>
+            <div className="studio-canvas-tool-modal__body">
+              {canvasToolModal.tool === "multiGrid" && (
+                <CanvasMultiGridPanel imageUrl={canvasToolModal.imageNode.imageUrl || ""} imageNode={canvasToolModal.imageNode} onComplete={(url) => { setImageNodes((nodes) => nodes.map((n) => n.id === canvasToolModal.imageNode.id ? { ...n, imageUrl: url } : n)); setCanvasToolModal(null); }} />
+              )}
+              {canvasToolModal.tool === "upscale" && (
+                <CanvasUpscalePanel imageUrl={canvasToolModal.imageNode.imageUrl || ""} imageNode={canvasToolModal.imageNode} onComplete={(url) => { setImageNodes((nodes) => nodes.map((n) => n.id === canvasToolModal.imageNode.id ? { ...n, imageUrl: url } : n)); setCanvasToolModal(null); }} />
+              )}
+              {canvasToolModal.tool === "inpaint" && (
+                <CanvasInpaintPanel imageUrl={canvasToolModal.imageNode.imageUrl || ""} imageNode={canvasToolModal.imageNode} onComplete={(url) => { setImageNodes((nodes) => nodes.map((n) => n.id === canvasToolModal.imageNode.id ? { ...n, imageUrl: url } : n)); setCanvasToolModal(null); }} />
+              )}
+            </div>
+          </div>
+        </div>
+      )}
     </WorkspacePageShell>
   );
 }

src/features/canvas/CanvasTextPromptComposer.tsx

@@ -0,0 +1,219 @@
+import { SendOutlined } from "@ant-design/icons";
+import { useRef, type CSSProperties, type Dispatch, type SetStateAction } from "react";
+import type { CanvasNodeKind, CanvasPromptMentionOption, CanvasPromptMentionState } from "./canvasTypes";
+
+const MENTION_BOUNDARY_RE = /\s|[，。、；：！？?(){}[\]<>]/;
+const EMPTY_MENTION_STYLE: CSSProperties = { opacity: 0.5, pointerEvents: "none" };
+const DEFAULT_MENTION_STATE: CanvasPromptMentionState = {
+  open: false,
+  query: "",
+  start: 0,
+  caret: 0,
+  activeIndex: 0,
+};
+
+interface CanvasPromptMentionTextareaProps {
+  nodeId: string;
+  value: string;
+  placeholder: string;
+  mentionOptions: CanvasPromptMentionOption[];
+  mentionState?: CanvasPromptMentionState;
+  onPromptChange: (nodeId: string, prompt: string) => void;
+  onMentionStateChange: Dispatch<SetStateAction<Record<string, CanvasPromptMentionState>>>;
+  onCloseMention: (nodeId: string) => void;
+  onInsertMention: (
+    nodeId: string,
+    option: CanvasPromptMentionOption,
+    textarea: HTMLTextAreaElement | null,
+    kind?: CanvasNodeKind,
+  ) => void;
+  mentionKind?: CanvasNodeKind;
+}
+
+export function CanvasPromptMentionTextarea({
+  nodeId,
+  value,
+  placeholder,
+  mentionOptions,
+  mentionState = DEFAULT_MENTION_STATE,
+  onPromptChange,
+  onMentionStateChange,
+  onCloseMention,
+  onInsertMention,
+  mentionKind,
+}: CanvasPromptMentionTextareaProps) {
+  const textareaRef = useRef<HTMLTextAreaElement | null>(null);
+  const filteredMentions = mentionState.open
+    ? mentionOptions.filter((option) => !mentionState.query || option.searchText.includes(mentionState.query.toLowerCase()))
+    : [];
+
+  const handlePromptChange = (event: React.ChangeEvent<HTMLTextAreaElement>) => {
+    const value = event.target.value;
+    const caret = event.target.selectionStart || 0;
+    onPromptChange(nodeId, value);
+
+    const beforeCaret = value.slice(0, caret);
+    const atIndex = beforeCaret.lastIndexOf("@");
+    if (atIndex >= 0) {
+      const query = beforeCaret.slice(atIndex + 1);
+      if (!MENTION_BOUNDARY_RE.test(query) && !query.includes(" ")) {
+        onMentionStateChange((prev) => ({
+          ...prev,
+          [nodeId]: { open: true, query, start: atIndex, caret, activeIndex: 0 },
+        }));
+        return;
+      }
+    }
+    onCloseMention(nodeId);
+  };
+
+  const handlePromptKeyDown = (event: React.KeyboardEvent<HTMLTextAreaElement>) => {
+    if (!mentionState.open || filteredMentions.length === 0) return;
+    if (event.key === "ArrowDown") {
+      event.preventDefault();
+      onMentionStateChange((prev) => ({
+        ...prev,
+        [nodeId]: { ...mentionState, activeIndex: (mentionState.activeIndex + 1) % filteredMentions.length },
+      }));
+    } else if (event.key === "ArrowUp") {
+      event.preventDefault();
+      onMentionStateChange((prev) => ({
+        ...prev,
+        [nodeId]: {
+          ...mentionState,
+          activeIndex: (mentionState.activeIndex - 1 + filteredMentions.length) % filteredMentions.length,
+        },
+      }));
+    } else if (event.key === "Enter" || event.key === "Tab") {
+      event.preventDefault();
+      const option = filteredMentions[mentionState.activeIndex];
+      if (option) {
+        onInsertMention(nodeId, option, event.currentTarget, mentionKind);
+      }
+    } else if (event.key === "Escape") {
+      event.preventDefault();
+      onCloseMention(nodeId);
+    }
+  };
+
+  const handlePromptSelect = (event: React.SyntheticEvent<HTMLTextAreaElement>) => {
+    const caret = event.currentTarget.selectionStart || 0;
+    onMentionStateChange((prev) => {
+      const current = prev[nodeId];
+      if (!current?.open) return prev;
+      return { ...prev, [nodeId]: { ...current, caret } };
+    });
+  };
+
+  return (
+    <div className="studio-canvas-text-composer__input-wrap">
+      <textarea
+        ref={textareaRef}
+        value={value}
+        onMouseDown={(event) => event.stopPropagation()}
+        onChange={handlePromptChange}
+        onKeyDown={handlePromptKeyDown}
+        onSelect={handlePromptSelect}
+        placeholder={placeholder}
+      />
+      {mentionState.open ? (
+        <div className="studio-canvas-mention-panel">
+          {filteredMentions.length > 0 ? filteredMentions.map((option, index) => (
+            <button
+              key={option.token}
+              type="button"
+              className={`studio-canvas-mention-item${index === mentionState.activeIndex ? " is-active" : ""}`}
+              onMouseDown={(event) => {
+                event.preventDefault();
+                onInsertMention(nodeId, option, textareaRef.current, mentionKind);
+              }}
+            >
+              <span className="studio-canvas-mention-thumb">
+                {option.kind === "image" && option.previewUrl ? (
+                  <img src={option.previewUrl} alt="" />
+                ) : option.kind === "image" ? "🖼" : option.kind === "video" ? "🎬" : "📝"}
+              </span>
+              <span className="studio-canvas-mention-label">{option.nodeTitle}</span>
+              <span className="studio-canvas-mention-token">{option.token}</span>
+            </button>
+          )) : (
+            <div className="studio-canvas-mention-item" style={EMPTY_MENTION_STYLE}>
+              <span className="studio-canvas-mention-label">没有可引用的连接节点</span>
+            </div>
+          )}
+        </div>
+      ) : null}
+    </div>
+  );
+}
+
+interface CanvasTextPromptComposerProps {
+  nodeId: string;
+  prompt: string;
+  canGenerate: boolean;
+  isGenerating: boolean;
+  mentionOptions: CanvasPromptMentionOption[];
+  mentionState?: CanvasPromptMentionState;
+  onPromptChange: (nodeId: string, prompt: string) => void;
+  onMentionStateChange: Dispatch<SetStateAction<Record<string, CanvasPromptMentionState>>>;
+  onCloseMention: (nodeId: string) => void;
+  onInsertMention: (
+    nodeId: string,
+    option: CanvasPromptMentionOption,
+    textarea: HTMLTextAreaElement | null,
+    kind?: CanvasNodeKind,
+  ) => void;
+  onGenerate: (nodeId: string) => void | Promise<void>;
+}
+
+export function CanvasTextPromptComposer({
+  nodeId,
+  prompt,
+  canGenerate,
+  isGenerating,
+  mentionOptions,
+  mentionState,
+  onPromptChange,
+  onMentionStateChange,
+  onCloseMention,
+  onInsertMention,
+  onGenerate,
+}: CanvasTextPromptComposerProps) {
+  return (
+    <div className="studio-canvas-text-composer">
+      <CanvasPromptMentionTextarea
+        nodeId={nodeId}
+        value={prompt}
+        placeholder="写下你想讲的故事、场景或角色设定。@引用连接的节点"
+        mentionOptions={mentionOptions}
+        mentionState={mentionState}
+        onPromptChange={onPromptChange}
+        onMentionStateChange={onMentionStateChange}
+        onCloseMention={onCloseMention}
+        onInsertMention={onInsertMention}
+      />
+      <div className="studio-canvas-text-composer__footer">
+        <button
+          type="button"
+          className={`studio-canvas-text-composer__send studio-canvas-generate-button${canGenerate && !isGenerating ? " is-ready" : ""}`}
+          title={isGenerating ? "生成中" : "生成"}
+          disabled={isGenerating || !canGenerate}
+          aria-busy={isGenerating}
+          onMouseDown={(event) => {
+            event.preventDefault();
+            event.stopPropagation();
+            if (!isGenerating && canGenerate) {
+              void onGenerate(nodeId);
+            }
+          }}
+          onClick={(event) => {
+            event.preventDefault();
+            event.stopPropagation();
+          }}
+        >
+          <SendOutlined />
+        </button>
+      </div>
+    </div>
+  );
+}

src/features/canvas/canvasToolPanels.tsx

@@ -0,0 +1,221 @@
+import { useCallback, useRef, useState } from "react";
+import { aiGenerationClient } from "../../api/aiGenerationClient";
+import { waitForTask } from "../../api/taskSubscription";
+import { toast } from "../../components/toast/toastStore";
+import type { CanvasImageNode } from "./canvasTypes";
+
+interface CanvasToolPanelProps {
+  imageUrl: string;
+  imageNode: CanvasImageNode;
+  onComplete: (resultUrl: string) => void;
+}
+
+export function CanvasMultiGridPanel({ imageUrl, onComplete }: CanvasToolPanelProps) {
+  const [gridMode, setGridMode] = useState<"grid-4" | "grid-9">("grid-4");
+  const [prompt, setPrompt] = useState("");
+  const [loading, setLoading] = useState(false);
+  const cancelRef = useRef(false);
+
+  const handleGenerate = useCallback(async () => {
+    if (!imageUrl) return;
+    setLoading(true);
+    cancelRef.current = false;
+    try {
+      const { taskId } = await aiGenerationClient.createImageTask({
+        model: "gpt-image-2",
+        prompt: prompt || "基于参考图生成多宫格变体",
+        referenceUrls: [imageUrl],
+        gridMode,
+      });
+      const resultUrl = await waitForTask(taskId, { kind: "image", abortRef: cancelRef });
+      if (resultUrl) {
+        onComplete(resultUrl);
+        toast.success("多宫格生成完成");
+      }
+    } catch (err: unknown) {
+      if (!cancelRef.current) toast.error(err instanceof Error ? err.message : "多宫格生成失败");
+    } finally {
+      setLoading(false);
+    }
+  }, [imageUrl, prompt, gridMode, onComplete]);
+
+  return (
+    <div className="studio-canvas-tool-panel">
+      <div className="studio-canvas-tool-panel__preview"><img src={imageUrl} alt="" /></div>
+      <div className="studio-canvas-tool-panel__controls">
+        <label className="studio-canvas-tool-panel__label">{"宫格模式"}</label>
+        <div className="studio-canvas-tool-panel__options">
+          {([["grid-4", "2×2"], ["grid-9", "3×3"]] as const).map(([value, label]) => (
+            <button key={value} type="button" className={gridMode === value ? "is-active" : ""} onClick={() => setGridMode(value)}>{label}</button>
+          ))}
+        </div>
+        <label className="studio-canvas-tool-panel__label">{"提示词（可选）"}</label>
+        <textarea className="studio-canvas-tool-panel__textarea" value={prompt} onChange={(e) => setPrompt(e.target.value)} placeholder="描述多宫格内容变化" />
+        <button type="button" className="studio-canvas-tool-panel__submit" disabled={loading} onClick={handleGenerate}>
+          {loading ? "生成中..." : "生成多宫格"}
+        </button>
+      </div>
+    </div>
+  );
+}
+
+export function CanvasUpscalePanel({ imageUrl, onComplete }: CanvasToolPanelProps) {
+  const [scale, setScale] = useState<"2x" | "4x">("2x");
+  const [loading, setLoading] = useState(false);
+  const cancelRef = useRef(false);
+
+  const handleUpscale = useCallback(async () => {
+    if (!imageUrl) return;
+    setLoading(true);
+    cancelRef.current = false;
+    try {
+      const { taskId } = await aiGenerationClient.createImageSuperResolveTask({
+        imageUrl,
+        scale,
+      });
+      const resultUrl = await waitForTask(taskId, { kind: "image", abortRef: cancelRef });
+      if (resultUrl) {
+        onComplete(resultUrl);
+        toast.success("超分完成");
+      }
+    } catch (err: unknown) {
+      if (!cancelRef.current) toast.error(err instanceof Error ? err.message : "超分失败");
+    } finally {
+      setLoading(false);
+    }
+  }, [imageUrl, scale, onComplete]);
+
+  return (
+    <div className="studio-canvas-tool-panel">
+      <div className="studio-canvas-tool-panel__preview"><img src={imageUrl} alt="" /></div>
+      <div className="studio-canvas-tool-panel__controls">
+        <label className="studio-canvas-tool-panel__label">{"放大倍数"}</label>
+        <div className="studio-canvas-tool-panel__options">
+          {(["2x", "4x"] as const).map((s) => (
+            <button key={s} type="button" className={scale === s ? "is-active" : ""} onClick={() => setScale(s)}>{s}</button>
+          ))}
+        </div>
+        <button type="button" className="studio-canvas-tool-panel__submit" disabled={loading} onClick={handleUpscale}>
+          {loading ? "处理中..." : "开始超分"}
+        </button>
+      </div>
+    </div>
+  );
+}
+
+export function CanvasInpaintPanel({ imageUrl, onComplete }: CanvasToolPanelProps) {
+  const [prompt, setPrompt] = useState("");
+  const [brushSize, setBrushSize] = useState(30);
+  const [loading, setLoading] = useState(false);
+  const canvasRef = useRef<HTMLCanvasElement>(null);
+  const isDrawingRef = useRef(false);
+  const cancelRef = useRef(false);
+
+  const initCanvas = useCallback(() => {
+    const canvas = canvasRef.current;
+    if (!canvas) return;
+    const img = new Image();
+    img.crossOrigin = "anonymous";
+    img.onload = () => {
+      canvas.width = img.naturalWidth;
+      canvas.height = img.naturalHeight;
+      const ctx = canvas.getContext("2d");
+      if (!ctx) return;
+      ctx.clearRect(0, 0, canvas.width, canvas.height);
+    };
+    img.src = imageUrl;
+  }, [imageUrl]);
+
+  const getPos = (e: React.MouseEvent<HTMLCanvasElement>) => {
+    const canvas = canvasRef.current!;
+    const rect = canvas.getBoundingClientRect();
+    const scaleX = canvas.width / rect.width;
+    const scaleY = canvas.height / rect.height;
+    return { x: (e.clientX - rect.left) * scaleX, y: (e.clientY - rect.top) * scaleY };
+  };
+
+  const draw = (e: React.MouseEvent<HTMLCanvasElement>) => {
+    if (!isDrawingRef.current) return;
+    const ctx = canvasRef.current?.getContext("2d");
+    if (!ctx) return;
+    const { x, y } = getPos(e);
+    ctx.globalCompositeOperation = "source-over";
+    ctx.fillStyle = "rgba(255, 0, 0, 0.4)";
+    ctx.beginPath();
+    ctx.arc(x, y, brushSize, 0, Math.PI * 2);
+    ctx.fill();
+  };
+
+  const getMaskDataUrl = (): string => {
+    const canvas = canvasRef.current!;
+    const maskCanvas = document.createElement("canvas");
+    maskCanvas.width = canvas.width;
+    maskCanvas.height = canvas.height;
+    const srcCtx = canvas.getContext("2d")!;
+    const maskCtx = maskCanvas.getContext("2d")!;
+    const imgData = srcCtx.getImageData(0, 0, canvas.width, canvas.height);
+    const maskData = maskCtx.createImageData(canvas.width, canvas.height);
+    for (let i = 0; i < imgData.data.length; i += 4) {
+      const hasColor = imgData.data[i + 3] > 10;
+      maskData.data[i] = hasColor ? 255 : 0;
+      maskData.data[i + 1] = hasColor ? 255 : 0;
+      maskData.data[i + 2] = hasColor ? 255 : 0;
+      maskData.data[i + 3] = 255;
+    }
+    maskCtx.putImageData(maskData, 0, 0);
+    return maskCanvas.toDataURL("image/png");
+  };
+
+  const handleInpaint = useCallback(async () => {
+    if (!imageUrl || !prompt) {
+      toast.error("请输入重绘提示词");
+      return;
+    }
+    setLoading(true);
+    cancelRef.current = false;
+    try {
+      const maskDataUrl = getMaskDataUrl();
+      const { taskId } = await aiGenerationClient.createImageEditTask({
+        imageUrl,
+        function: "inpaint",
+        prompt,
+      });
+      const resultUrl = await waitForTask(taskId, { kind: "image", abortRef: cancelRef });
+      if (resultUrl) {
+        onComplete(resultUrl);
+        toast.success("局部重绘完成");
+      }
+    } catch (err: unknown) {
+      if (!cancelRef.current) toast.error(err instanceof Error ? err.message : "局部重绘失败");
+    } finally {
+      setLoading(false);
+    }
+  }, [imageUrl, prompt, onComplete]);
+  return (
+    <div className="studio-canvas-tool-panel studio-canvas-tool-panel--inpaint">
+      <div className="studio-canvas-tool-panel__canvas-wrap">
+        <img src={imageUrl} alt="" className="studio-canvas-tool-panel__canvas-bg" />
+        <canvas
+          ref={canvasRef}
+          className="studio-canvas-tool-panel__canvas"
+          onMouseDown={(e) => { isDrawingRef.current = true; draw(e); }}
+          onMouseMove={draw}
+          onMouseUp={() => { isDrawingRef.current = false; }}
+          onMouseLeave={() => { isDrawingRef.current = false; }}
+        />
+      </div>
+      <div className="studio-canvas-tool-panel__controls">
+        <label className="studio-canvas-tool-panel__label">{"画笔大小"}</label>
+        <input type="range" min={5} max={80} value={brushSize} onChange={(e) => setBrushSize(Number(e.target.value))} />
+        <label className="studio-canvas-tool-panel__label">{"重绘提示词"}</label>
+        <textarea className="studio-canvas-tool-panel__textarea" value={prompt} onChange={(e) => setPrompt(e.target.value)} placeholder="描述需要重绘区域的内容" />
+        <div className="studio-canvas-tool-panel__actions">
+          <button type="button" className="studio-canvas-tool-panel__reset" onClick={initCanvas}>{"清除蒙版"}</button>
+          <button type="button" className="studio-canvas-tool-panel__submit" disabled={loading} onClick={handleInpaint}>
+            {loading ? "处理中..." : "开始重绘"}
+          </button>
+        </div>
+      </div>
+    </div>
+  );
+}

src/features/canvas/canvasUtils.ts

@@ -251,7 +251,7 @@ export function blobToDataUrl(blob: Blob) {
 
 export async function waitForImageTaskResult(taskId: string, onStatus?: (status: AiTaskStatus) => void) {
   const resultUrl = await waitForTask(taskId, {
-    timeoutMs: 10 * 60 * 1000,
+    kind: "image",
     onProgress: (e) => {
       onStatus?.({ taskId, status: e.status, progress: e.progress, resultUrl: e.resultUrl ?? undefined, error: e.error ?? undefined } as AiTaskStatus);
     },
@@ -262,7 +262,7 @@ export async function waitForImageTaskResult(taskId: string, onStatus?: (status:
 
 export async function waitForVideoTaskResult(taskId: string, onStatus?: (status: AiTaskStatus) => void) {
   const resultUrl = await waitForTask(taskId, {
-    timeoutMs: 30 * 60 * 1000,
+    kind: "video",
     onProgress: (e) => {
       onStatus?.({ taskId, status: e.status, progress: e.progress, resultUrl: e.resultUrl ?? undefined, error: e.error ?? undefined } as AiTaskStatus);
     },

src/features/canvas/useCanvasDerivedState.ts

@@ -0,0 +1,74 @@
+import { useCallback, useMemo } from "react";
+import type { ServerAssetItem } from "../../api/assetClient";
+import type {
+  CanvasImageNode,
+  CanvasNodeKind,
+  CanvasNodePackage,
+  CanvasTextNode,
+  CanvasVideoNode,
+} from "./canvasTypes";
+import { getCanvasSelectionKey } from "./canvasUtils";
+
+export function useCanvasAssetSummary(serverAssets: ServerAssetItem[]) {
+  return useMemo(() => {
+    const canvasAssets: ServerAssetItem[] = [];
+    const assetCountsByCategory = new Map<string, number>();
+
+    for (const asset of serverAssets) {
+      if (asset.imageUrl) {
+        canvasAssets.push(asset);
+      }
+      assetCountsByCategory.set(asset.type, (assetCountsByCategory.get(asset.type) ?? 0) + 1);
+    }
+
+    return { canvasAssets, assetCountsByCategory };
+  }, [serverAssets]);
+}
+
+export function useCanvasVisibleNodes({
+  textNodes,
+  imageNodes,
+  videoNodes,
+  nodePackages,
+}: {
+  textNodes: CanvasTextNode[];
+  imageNodes: CanvasImageNode[];
+  videoNodes: CanvasVideoNode[];
+  nodePackages: CanvasNodePackage[];
+}) {
+  const collapsedPackageNodeKeys = useMemo(
+    () => new Set(
+      nodePackages.flatMap((nodePackage) =>
+        nodePackage.collapsed ? nodePackage.nodeIds.map((node) => getCanvasSelectionKey(node)) : []
+      )
+    ),
+    [nodePackages],
+  );
+
+  const isNodeCollapsedInPackage = useCallback(
+    (kind: CanvasNodeKind, id: string) =>
+      collapsedPackageNodeKeys.has(getCanvasSelectionKey({ kind, id })),
+    [collapsedPackageNodeKeys],
+  );
+
+  const visibleTextNodes = useMemo(
+    () => textNodes.filter((textNode) => !collapsedPackageNodeKeys.has(getCanvasSelectionKey({ kind: "text", id: textNode.id }))),
+    [collapsedPackageNodeKeys, textNodes],
+  );
+  const visibleImageNodes = useMemo(
+    () => imageNodes.filter((imageNode) => !collapsedPackageNodeKeys.has(getCanvasSelectionKey({ kind: "image", id: imageNode.id }))),
+    [collapsedPackageNodeKeys, imageNodes],
+  );
+  const visibleVideoNodes = useMemo(
+    () => videoNodes.filter((videoNode) => !collapsedPackageNodeKeys.has(getCanvasSelectionKey({ kind: "video", id: videoNode.id }))),
+    [collapsedPackageNodeKeys, videoNodes],
+  );
+
+  return {
+    collapsedPackageNodeKeys,
+    isNodeCollapsedInPackage,
+    visibleTextNodes,
+    visibleImageNodes,
+    visibleVideoNodes,
+  };
+}

src/features/canvas/useCanvasNodeDrag.ts

@@ -82,11 +82,16 @@ export function useCanvasNodeDrag(params: UseCanvasNodeDragParams) {
     const cy = pos.y + size.height / 2;
     const right = pos.x + size.width;
     const bottom = pos.y + size.height;
-    const others = [
-      ...textNodesRef.current.filter((n) => n.id !== draggedId).map((n) => ({ pos: n.position, size: n.size })),
-      ...imageNodesRef.current.filter((n) => n.id !== draggedId).map((n) => ({ pos: n.position, size: n.size })),
-      ...videoNodesRef.current.filter((n) => n.id !== draggedId).map((n) => ({ pos: n.position, size: n.size })),
-    ];
+    const others: Array<{ pos: CanvasPoint; size: CanvasNodeSize }> = [];
+    for (const node of textNodesRef.current) {
+      if (node.id !== draggedId) others.push({ pos: node.position, size: node.size });
+    }
+    for (const node of imageNodesRef.current) {
+      if (node.id !== draggedId) others.push({ pos: node.position, size: node.size });
+    }
+    for (const node of videoNodesRef.current) {
+      if (node.id !== draggedId) others.push({ pos: node.position, size: node.size });
+    }
     for (const other of others) {
       const ocx = other.pos.x + other.size.width / 2;
       const ocy = other.pos.y + other.size.height / 2;

src/features/character-mix/CharacterMixPage.tsx

@@ -17,6 +17,7 @@ import {
   VideoCameraOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useRef, useState } from "react";
+import "../../styles/pages/image-workbench.css";
 import StudioToolLayout from "../../components/StudioToolLayout";
 import type { WebImageWorkbenchTool, WebViewKey } from "../../types";
 import { aiGenerationClient } from "../../api/aiGenerationClient";

src/features/community/CommunityPage.tsx

@@ -10,6 +10,7 @@ import {
   SearchOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useMemo, useRef, useState } from "react";
+import "../../styles/pages/community.css";
 import { useDebounce } from "../../hooks/useDebounce";
 import { communityClient, type ServerCommunityCase } from "../../api/communityClient";
 import WorkspacePageShell from "../../components/WorkspacePageShell";

src/features/compliance/CompliancePage.tsx

@@ -1,4 +1,5 @@
 import { FileTextOutlined, SafetyOutlined } from "@ant-design/icons";
+import "../../styles/pages/compliance.css";
 
 type ComplianceKind = "agreement" | "privacy";
 

src/features/dialog-generator/DialogGeneratorPage.tsx

@@ -0,0 +1,291 @@
+import { useCallback, useRef, useState, type CSSProperties, type MouseEvent as ReactMouseEvent, type TouchEvent as ReactTouchEvent } from "react";
+import "../../styles/pages/dialog-generator.css";
+
+type DialogStyle = "style1" | "style2" | "style3" | "style4";
+
+interface DialogItem {
+  id: number;
+  style: DialogStyle;
+  x: number;
+  y: number;
+  text: string;
+  color: string;
+  confirmed: boolean;
+}
+
+interface DragState {
+  id: number;
+  offsetX: number;
+  offsetY: number;
+}
+
+const dialogStyles: Array<{
+  key: DialogStyle;
+  label: string;
+  description: string;
+  swatchClass: string;
+}> = [
+  { key: "style1", label: "白色圆角对话框", description: "适合浅色说明与标注", swatchClass: "is-white" },
+  { key: "style2", label: "蓝色气泡对话框", description: "适合角色台词与重点提示", swatchClass: "is-blue" },
+  { key: "style3", label: "黄色提示对话框", description: "适合醒目提醒与强调", swatchClass: "is-amber" },
+  { key: "style4", label: "灰色简约对话框", description: "适合信息备注与辅助说明", swatchClass: "is-gray" },
+];
+
+const textColorOptions = [
+  { value: "#ffffff", label: "白色" },
+  { value: "#111827", label: "黑色" },
+  { value: "#ef4444", label: "红色" },
+  { value: "#f59e0b", label: "黄色" },
+  { value: "#165dff", label: "蓝色" },
+  { value: "#00ff88", label: "绿色" },
+];
+
+function DialogGeneratorPage() {
+  const fileInputRef = useRef<HTMLInputElement | null>(null);
+  const previewRef = useRef<HTMLDivElement | null>(null);
+  const dragRef = useRef<DragState | null>(null);
+  const nextIdRef = useRef(0);
+  const [backgroundUrl, setBackgroundUrl] = useState("");
+  const [dialogs, setDialogs] = useState<DialogItem[]>([]);
+  const [selectedTextColor, setSelectedTextColor] = useState(textColorOptions[0].value);
+  const [activeDragId, setActiveDragId] = useState<number | null>(null);
+
+  const handleFile = useCallback((file?: File | null) => {
+    if (!file || !file.type.startsWith("image/")) return;
+    const reader = new FileReader();
+    reader.onload = () => {
+      if (typeof reader.result === "string") {
+        setBackgroundUrl(reader.result);
+      }
+    };
+    reader.readAsDataURL(file);
+  }, []);
+
+  const addDialog = useCallback((style: DialogStyle) => {
+    nextIdRef.current += 1;
+    const id = nextIdRef.current;
+    setDialogs((current) => [
+      ...current,
+      {
+        id,
+        style,
+        x: 30 + (id * 25) % 200,
+        y: 30 + (id * 20) % 150,
+        text: "",
+        color: selectedTextColor,
+        confirmed: false,
+      },
+    ]);
+  }, [selectedTextColor]);
+
+  const updateDialog = useCallback((id: number, patch: Partial<DialogItem>) => {
+    setDialogs((current) => current.map((item) => (item.id === id ? { ...item, ...patch } : item)));
+  }, []);
+
+  const deleteDialog = useCallback((id: number) => {
+    setDialogs((current) => current.filter((item) => item.id !== id));
+  }, []);
+
+  const startDrag = useCallback((id: number, clientX: number, clientY: number) => {
+    const dialogEl = document.querySelector<HTMLElement>(`[data-dialog-id="${id}"]`);
+    if (!dialogEl) return;
+    const rect = dialogEl.getBoundingClientRect();
+    dragRef.current = {
+      id,
+      offsetX: clientX - rect.left,
+      offsetY: clientY - rect.top,
+    };
+    setActiveDragId(id);
+  }, []);
+
+  const moveDrag = useCallback((clientX: number, clientY: number) => {
+    const drag = dragRef.current;
+    const preview = previewRef.current;
+    if (!drag || !preview) return;
+    const dialogEl = document.querySelector<HTMLElement>(`[data-dialog-id="${drag.id}"]`);
+    if (!dialogEl) return;
+
+    const bounds = preview.getBoundingClientRect();
+    const nextX = Math.max(0, Math.min(clientX - drag.offsetX - bounds.left, bounds.width - dialogEl.offsetWidth));
+    const nextY = Math.max(0, Math.min(clientY - drag.offsetY - bounds.top, bounds.height - dialogEl.offsetHeight));
+    updateDialog(drag.id, { x: nextX, y: nextY });
+  }, [updateDialog]);
+
+  const endDrag = useCallback(() => {
+    dragRef.current = null;
+    setActiveDragId(null);
+  }, []);
+
+  const handleCanvasMouseMove = useCallback((event: ReactMouseEvent<HTMLDivElement>) => {
+    moveDrag(event.clientX, event.clientY);
+  }, [moveDrag]);
+
+  const handleCanvasTouchMove = useCallback((event: ReactTouchEvent<HTMLDivElement>) => {
+    const touch = event.touches[0];
+    if (!touch) return;
+    moveDrag(touch.clientX, touch.clientY);
+  }, [moveDrag]);
+
+  return (
+    <section className="dialog-generator-page page-motion">
+      <div className="dialog-generator-shell">
+        <aside className="dialog-generator-panel">
+          <div className="dialog-generator-heading">
+            <span className="dialog-generator-kicker">Interactive Dialog</span>
+            <h1>交互式对话框生成器</h1>
+            <p>上传背景图，在画面上添加可拖拽、可编辑的文字图层，用于图片标注、剧情分镜和互动内容设计。</p>
+          </div>
+
+          <div className="dialog-generator-section">
+            <h2>上传背景图片</h2>
+            <button
+              type="button"
+              className="dialog-generator-drop"
+              onClick={() => fileInputRef.current?.click()}
+              onDragOver={(event) => {
+                event.preventDefault();
+              }}
+              onDrop={(event) => {
+                event.preventDefault();
+                handleFile(event.dataTransfer.files[0]);
+              }}
+            >
+              <span className="dialog-generator-drop-icon">🖼</span>
+              <strong>点击或拖拽图片到此处</strong>
+              <small>支持 JPG、PNG、WEBP 格式</small>
+            </button>
+            <input
+              ref={fileInputRef}
+              type="file"
+              accept="image/*"
+              hidden
+              onChange={(event) => handleFile(event.target.files?.[0])}
+            />
+          </div>
+
+          <div className="dialog-generator-section">
+            <h2>点击添加文字</h2>
+            <p className="dialog-generator-hint">每点一次即在预览区新增一个可编辑文字图层。</p>
+            <div className="dialog-generator-color-picker" role="radiogroup" aria-label="文字颜色">
+              {textColorOptions.map((item) => (
+                <button
+                  key={item.value}
+                  type="button"
+                  className={`dialog-generator-color${selectedTextColor === item.value ? " is-active" : ""}`}
+                  style={{ "--text-color": item.value } as CSSProperties}
+                  aria-checked={selectedTextColor === item.value}
+                  role="radio"
+                  onClick={() => setSelectedTextColor(item.value)}
+                >
+                  <span />
+                  <strong>{item.label}</strong>
+                </button>
+              ))}
+            </div>
+            <div className="dialog-generator-style-list">
+              {dialogStyles.map((item) => (
+                <button key={item.key} type="button" className="dialog-generator-style" onClick={() => addDialog(item.key)}>
+                  <span className={`dialog-generator-swatch ${item.swatchClass}`} />
+                  <span>
+                    <strong>{item.label}</strong>
+                    <small>{item.description}</small>
+                  </span>
+                </button>
+              ))}
+            </div>
+          </div>
+
+          <button type="button" className="dialog-generator-clear" onClick={() => setDialogs([])}>
+            清空全部文字
+          </button>
+        </aside>
+
+        <main className="dialog-generator-preview-card">
+          <div className="dialog-generator-preview-head">
+            <div>
+              <span>Preview</span>
+              <h2>预览区域</h2>
+            </div>
+            <p>拖动文字定位，输入文字后点击确认，确认后只保留文字图层，双击可重新编辑。</p>
+          </div>
+
+          <div
+            ref={previewRef}
+            className="dialog-generator-preview"
+            onMouseMove={handleCanvasMouseMove}
+            onMouseUp={endDrag}
+            onMouseLeave={endDrag}
+            onTouchMove={handleCanvasTouchMove}
+            onTouchEnd={endDrag}
+          >
+            {backgroundUrl ? <div className="dialog-generator-image" style={{ backgroundImage: `url(${backgroundUrl})` }} /> : null}
+            {!backgroundUrl ? (
+              <div className="dialog-generator-empty">
+                <span>🖼</span>
+                <p>上传图片后开始编辑</p>
+              </div>
+            ) : null}
+
+            {dialogs.map((dialog) => (
+              <div
+                key={dialog.id}
+                data-dialog-id={dialog.id}
+                className={`dialog-generator-bubble ${dialog.style}${dialog.confirmed ? " is-confirmed" : ""}${activeDragId === dialog.id ? " is-dragging" : ""}`}
+                style={{ left: dialog.x, top: dialog.y, "--dialog-text-color": dialog.color } as CSSProperties}
+                onMouseDown={(event) => {
+                  const target = event.target as HTMLElement;
+                  if (target.closest("textarea,button")) return;
+                  startDrag(dialog.id, event.clientX, event.clientY);
+                  event.preventDefault();
+                }}
+                onTouchStart={(event) => {
+                  const target = event.target as HTMLElement;
+                  if (target.closest("textarea,button")) return;
+                  const touch = event.touches[0];
+                  if (touch) startDrag(dialog.id, touch.clientX, touch.clientY);
+                }}
+                onDoubleClick={() => {
+                  if (dialog.confirmed) updateDialog(dialog.id, { confirmed: false });
+                }}
+              >
+                {!dialog.confirmed ? (
+                  <button type="button" className="dialog-generator-delete" onClick={() => deleteDialog(dialog.id)} aria-label="删除文字">
+                    ×
+                  </button>
+                ) : null}
+                {dialog.confirmed ? (
+                  <div className="dialog-generator-text-display">{dialog.text}</div>
+                ) : (
+                  <textarea
+                    className="dialog-generator-text"
+                    rows={2}
+                    placeholder="输入文本..."
+                    value={dialog.text}
+                    onChange={(event) => updateDialog(dialog.id, { text: event.target.value })}
+                  />
+                )}
+                {!dialog.confirmed ? (
+                  <div className="dialog-generator-bubble-bottom">
+                    <button
+                      type="button"
+                      className="dialog-generator-confirm"
+                      onClick={() => {
+                        if (dialog.text.trim()) {
+                          updateDialog(dialog.id, { text: dialog.text.trim(), confirmed: true });
+                        }
+                      }}
+                    >
+                      ✓ 确认
+                    </button>
+                  </div>
+                ) : null}
+              </div>
+            ))}
+          </div>
+        </main>
+      </div>
+    </section>
+  );
+}
+
+export default DialogGeneratorPage;

src/features/digital-human/AvatarConsolePage.tsx

@@ -24,6 +24,7 @@ import {
   VideoCameraOutlined,
 } from "@ant-design/icons";
 import { useMemo, useRef, useState, type CSSProperties, type PointerEvent, type ReactNode } from "react";
+import "../../styles/pages/avatar-console.css";
 import type { WebViewKey } from "../../types";
 import {
   bringAvatarEditorLayerForward,

src/features/digital-human/DigitalHumanPage.tsx

@@ -18,6 +18,7 @@ import {
   UserOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useRef, useState } from "react";
+import "../../styles/pages/image-workbench.css";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { uploadAssetWithProgress } from "../../api/uploadWithProgress";
 import { waitForTask } from "../../api/taskSubscription";

src/features/ecommerce/EcommercePage.tsx

@@ -12,7 +12,8 @@ import {
   SettingOutlined,
   SkinOutlined,
 } from "@ant-design/icons";
-import { useEffect, useRef, useState, type CSSProperties, type ChangeEvent, type DragEvent, type ReactNode } from "react";
+import { useEffect, useMemo, useRef, useState, type CSSProperties, type ChangeEvent, type DragEvent, type ReactNode } from "react";
+import "../../styles/pages/ecommerce.css";
 import { ossAssets } from "../../data/ossAssets";
 import { EcommerceProgressBar } from "./EcommerceProgressBar";
 import ImageMentionMenu, { getImageMentionQuery, insertImageMentionValue, type MentionImageOption } from "./ImageMentionMenu";
@@ -59,9 +60,12 @@ interface CloneImageItem {
   id: string;
   src: string;
   name: string;
+  file?: File;
   width?: number;
   height?: number;
   format?: string;
+  mimeType?: string;
+  ossKey?: string;
 }
 
 interface CloneResult {
@@ -98,6 +102,18 @@ interface CloneSavedSetting {
   requirement: string;
 }
 
+interface EcommerceImagePromptOptions {
+  gender?: string;
+  age?: string;
+  ethnicity?: string;
+  body?: string;
+  appearance?: string;
+  scenes?: string[];
+  customScene?: string;
+  smartScene?: boolean;
+  detailModules?: string[];
+}
+
 type PlatformRatioModeKey = ProductSetOutputKey | "hot" | "video-outfit";
 
 interface PlatformRatioGroup {
@@ -671,15 +687,85 @@ function readImageDimensions(src: string): Promise<{ width: number; height: numb
   });
 }
 
-function createObjectImageItems(files: File[], limit: number, prefix: string) {
-  return Array.from(files)
-    .slice(0, limit)
-    .map<CloneImageItem>((file, index) => ({
-      id: `${prefix}-${Date.now()}-${index}`,
-      src: URL.createObjectURL(file),
+const blobToDataUrl = (blob: Blob): Promise<string> =>
+  new Promise((resolve, reject) => {
+    const reader = new FileReader();
+    reader.onload = () => resolve(String(reader.result || ""));
+    reader.onerror = () => reject(reader.error || new Error("文件读取失败"));
+    reader.readAsDataURL(blob);
+  });
+
+async function createUploadedImageItems(files: File[], limit: number, prefix: string): Promise<CloneImageItem[]> {
+  const selectedFiles = Array.from(files).slice(0, limit);
+  const stamp = Date.now();
+
+  const items = await Promise.all(selectedFiles.map(async (file, index) => {
+    const localPreviewUrl = URL.createObjectURL(file);
+    let dimensions: { width?: number; height?: number } = {};
+    try {
+      dimensions = await readImageDimensions(localPreviewUrl);
+    } catch {
+      dimensions = {};
+    } finally {
+      URL.revokeObjectURL(localPreviewUrl);
+    }
+
+    const mimeType = normalizeEcommerceImageMime(file.type);
+    const uploadBlob = file.type === mimeType ? file : new Blob([file], { type: mimeType });
+    const { url, ossKey } = await aiGenerationClient.uploadAssetBinary(uploadBlob, {
       name: file.name,
+      mimeType,
+      scope: "ecommerce-product",
+    });
+
+    return {
+      id: `${prefix}-${stamp}-${index}`,
+      src: url,
+      name: file.name,
+      file,
       format: getImageFileFormat(file),
+      mimeType,
+      ossKey,
+      ...dimensions,
+    };
   }));
+
+  return items;
+}
+
+async function persistGeneratedImageUrl(sourceUrl: string, scope: string, namePrefix: string): Promise<string> {
+  if (!sourceUrl) return sourceUrl;
+  try {
+    if (sourceUrl.startsWith("data:")) {
+      const { url } = await aiGenerationClient.uploadAsset({
+        dataUrl: sourceUrl,
+        name: `${namePrefix}-${Date.now()}.png`,
+        scope,
+      });
+      return url || sourceUrl;
+    }
+
+    if (sourceUrl.startsWith("blob:")) {
+      const rawBlob = await fetch(sourceUrl).then((res) => res.blob());
+      const mimeType = normalizeEcommerceImageMime(rawBlob.type);
+      const blob = rawBlob.type === mimeType ? rawBlob : new Blob([rawBlob], { type: mimeType });
+      const { url } = await aiGenerationClient.uploadAssetBinary(blob, {
+        name: `${namePrefix}-${Date.now()}.png`,
+        mimeType,
+        scope,
+      });
+      return url;
+    }
+
+    const { url } = await aiGenerationClient.uploadAssetByUrl({
+      sourceUrl,
+      name: `${namePrefix}-${Date.now()}`,
+      scope,
+    });
+    return url || sourceUrl;
+  } catch {
+    return sourceUrl;
+  }
 }
 
 function notifyRejectedImages(files: File[]): File[] {
@@ -791,6 +877,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
   const [status, setStatus] = useState<ProductCloneStatus>("idle");
   const [results, setResults] = useState<CloneResult[]>([]);
   const imageAbortRef = useRef({ current: false });
+  const activeEcommerceTaskIdsRef = useRef<Set<string>>(new Set());
   const lastFailedActionRef = useRef<(() => void) | null>(null);
   const [garmentImages, setGarmentImages] = useState<CloneImageItem[]>([]);
   const [modelSource, setModelSource] = useState<TryOnModelSource>("ai");
@@ -814,25 +901,58 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
   const [selectedDetailModules, setSelectedDetailModules] = useState<string[]>(defaultDetailModuleIds);
   const [detailStatus, setDetailStatus] = useState<DetailStatus>("idle");
   const [detailResultUrl, setDetailResultUrl] = useState<string | null>(null);
-  const productSetRatioOptions = getPlatformRatioOptions(productSetPlatform, productSetOutput);
-  const hotUploadedRatioOption = cloneOutput === "hot" ? formatUploadedImageRatio(cloneReferenceImages[0]) : null;
-  const baseCloneRatioOptions = getPlatformRatioOptions(platform, cloneOutput);
-  const cloneRatioOptions = hotUploadedRatioOption
+  const productSetRatioOptions = useMemo(
+    () => getPlatformRatioOptions(productSetPlatform, productSetOutput),
+    [productSetOutput, productSetPlatform],
+  );
+  const hotUploadedRatioOption = useMemo(
+    () => cloneOutput === "hot" ? formatUploadedImageRatio(cloneReferenceImages[0]) : null,
+    [cloneOutput, cloneReferenceImages],
+  );
+  const baseCloneRatioOptions = useMemo(
+    () => getPlatformRatioOptions(platform, cloneOutput),
+    [cloneOutput, platform],
+  );
+  const cloneRatioOptions = useMemo(
+    () => hotUploadedRatioOption
       ? getUniqueRatioOptions([...baseCloneRatioOptions, hotUploadedRatioOption])
-    : baseCloneRatioOptions;
-  const productSetLanguageOptions = getPlatformLanguageOptions(productSetPlatform, productSetMarket);
-  const cloneLanguageOptions = getPlatformLanguageOptions(platform, market);
-  const detailLanguageOptions = getPlatformLanguageOptions(detailPlatform, detailMarket);
+      : baseCloneRatioOptions,
+    [baseCloneRatioOptions, hotUploadedRatioOption],
+  );
+  const productSetLanguageOptions = useMemo(
+    () => getPlatformLanguageOptions(productSetPlatform, productSetMarket),
+    [productSetMarket, productSetPlatform],
+  );
+  const cloneLanguageOptions = useMemo(
+    () => getPlatformLanguageOptions(platform, market),
+    [market, platform],
+  );
+  const detailLanguageOptions = useMemo(
+    () => getPlatformLanguageOptions(detailPlatform, detailMarket),
+    [detailMarket, detailPlatform],
+  );
   const ecommerceMentionImages: MentionImageOption[] = [
     ...productImages.map((image, index) => ({ ...image, label: `商品图 ${index + 1}` })),
     ...cloneReferenceImages.map((image, index) => ({ ...image, label: `参考图 ${index + 1}` })),
   ];
 
+  const ecommerceVideoImageDataUrls = useMemo(
+    () => productImages.map((img) => img.src),
+    [productImages],
+  );
+  const ecommerceVideoImageFiles = useMemo(
+    () => productImages.map((img) => img.file),
+    [productImages],
+  );
+
   const selectedProductSetOutput =
     productSetOutputOptions.find((option) => option.key === productSetOutput) ?? productSetOutputOptions[0]!;
   const selectedCloneOutput = cloneOutputOptions.find((option) => option.key === cloneOutput) ?? cloneOutputOptions[1]!;
   const productSetPreviewReady = productSetStatus === "done";
-  const cloneSetTotal = Object.values(cloneSetCounts).reduce((sum, value) => sum + value, 0);
+  const cloneSetTotal = useMemo(
+    () => Object.values(cloneSetCounts).reduce((sum, value) => sum + value, 0),
+    [cloneSetCounts],
+  );
   const canGenerateSet = setImages.length > 0 && productSetStatus !== "generating";
   const canGenerate = (cloneOutput === "video-outfit"
     ? Boolean(videoOutfitVideoFile && videoOutfitRefFile)
@@ -841,9 +961,36 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
   const canGenerateDetail = detailProductImages.length > 0 && detailStatus !== "generating";
   const cloneVideoDurationProgress =
     ((cloneVideoDuration - cloneVideoDurationMin) / (cloneVideoDurationMax - cloneVideoDurationMin)) * 100;
-  const cloneVideoDurationStyle: CSSProperties = {
+  const cloneVideoDurationStyle: CSSProperties = useMemo(
+    () => ({
       "--clone-video-duration-progress": `${cloneVideoDurationProgress}%`,
-  } as CSSProperties;
+    }) as CSSProperties,
+    [cloneVideoDurationProgress],
+  );
+
+  const trackEcommerceTask = (taskId: string) => {
+    activeEcommerceTaskIdsRef.current.add(taskId);
+  };
+
+  const untrackEcommerceTask = (taskId: string) => {
+    activeEcommerceTaskIdsRef.current.delete(taskId);
+  };
+
+  const handleCancelGenerate = () => {
+    imageAbortRef.current.current = true;
+    const taskIds = Array.from(activeEcommerceTaskIdsRef.current);
+    activeEcommerceTaskIdsRef.current.clear();
+    taskIds.forEach((taskId) => {
+      aiGenerationClient.cancelTask(taskId).catch(() => {});
+    });
+    lastFailedActionRef.current = null;
+    if (productSetStatus === "generating") setProductSetStatus("idle");
+    if (status === "generating") setStatus("idle");
+    if (detailStatus === "generating") setDetailStatus("idle");
+    if (tryOnStatus === "generating") setTryOnStatus("idle");
+    if (tryOnStatus === "modeling") setTryOnStatus("ready");
+    toast.info("\u5df2\u53d6\u6d88\u751f\u6210");
+  };
 
   const syncRequirementMentionQuery = (value: string, selectionStart: number | null | undefined) => {
     setRequirementImageMentionQuery(ecommerceMentionImages.length ? getImageMentionQuery(value, selectionStart) : null);
@@ -861,21 +1008,26 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     });
   };
 
-  const addSetImages = (files: File[]) => {
+  const addSetImages = async (files: File[]) => {
     if (setImages.length >= 3) return;
     const imageFiles = notifyRejectedImages(files);
     if (!imageFiles.length) return;
+    try {
+      const nextImages = await createUploadedImageItems(imageFiles, 3 - setImages.length, "set");
       setSetImages((current) => {
-      const nextImages = createObjectImageItems(imageFiles, 3 - current.length, "set");
+        if (current.length >= 3) return current;
         return nextImages.length ? [...current, ...nextImages].slice(0, 3) : current;
       });
       setProductSetStatus("ready");
+    } catch (err) {
+      toast.error(err instanceof Error ? err.message : "商品图上传失败");
+    }
   };
 
   const handleSetUpload = (event: ChangeEvent<HTMLInputElement>) => {
     const files = event.target.files;
     if (!files?.length) return;
-    addSetImages(Array.from(files));
+    void addSetImages(Array.from(files));
     event.target.value = "";
   };
 
@@ -883,7 +1035,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     event.preventDefault();
     setIsSetUploadDragging(false);
     const files = Array.from(event.dataTransfer.files);
-    if (files.length) addSetImages(files);
+    if (files.length) void addSetImages(files);
   };
 
   const removeSetImage = (imageId: string) => {
@@ -894,22 +1046,26 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     });
   };
 
-  const addProductImages = (files: File[]) => {
+  const addProductImages = async (files: File[]) => {
     const imageFiles = notifyRejectedImages(files);
     if (!imageFiles.length) return;
+    try {
+      const nextImages = await createUploadedImageItems(imageFiles, maxCloneProductImages - productImages.length, "product");
       setProductImages((current) => {
         if (current.length >= maxCloneProductImages) return current;
-      const nextImages = createObjectImageItems(imageFiles, maxCloneProductImages - current.length, "product");
         return nextImages.length ? [...current, ...nextImages].slice(0, maxCloneProductImages) : current;
       });
       setStatus("ready");
       setResults([]);
+    } catch (err) {
+      toast.error(err instanceof Error ? err.message : "商品图上传失败");
+    }
   };
 
   const handleProductUpload = (event: ChangeEvent<HTMLInputElement>) => {
     const files = event.target.files;
     if (!files?.length) return;
-    addProductImages(Array.from(files));
+    void addProductImages(Array.from(files));
     event.target.value = "";
   };
 
@@ -917,7 +1073,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     event.preventDefault();
     setIsProductUploadDragging(false);
     const files = Array.from(event.dataTransfer.files);
-    if (files.length) addProductImages(files);
+    if (files.length) void addProductImages(files);
   };
 
   const removeProductImage = (imageId: string) => {
@@ -943,24 +1099,28 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     });
   };
 
-  const addCloneReferenceImages = (files: File[]) => {
+  const addCloneReferenceImages = async (files: File[]) => {
     const imageFiles = notifyRejectedImages(files);
     if (!imageFiles.length) return;
     const remainingSlots = maxCloneReferenceImages - cloneReferenceImages.length;
     if (remainingSlots <= 0) return;
-    const nextImages = createObjectImageItems(imageFiles, remainingSlots, "reference");
+    try {
+      const nextImages = await createUploadedImageItems(imageFiles, remainingSlots, "reference");
       if (!nextImages.length) return;
       setCloneReferenceImages((current) => {
         if (current.length >= maxCloneReferenceImages) return current;
         return nextImages.length ? [...current, ...nextImages].slice(0, maxCloneReferenceImages) : current;
       });
       hydrateCloneReferenceImageMeta(nextImages);
+    } catch (err) {
+      toast.error(err instanceof Error ? err.message : "参考图上传失败");
+    }
   };
 
   const handleCloneReferenceUpload = (event: ChangeEvent<HTMLInputElement>) => {
     const files = event.target.files;
     if (!files?.length) return;
-    addCloneReferenceImages(Array.from(files));
+    void addCloneReferenceImages(Array.from(files));
     event.target.value = "";
   };
 
@@ -975,6 +1135,8 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
   };
 
   const clearCloneSetCountHold = () => {
+    window.removeEventListener("pointerup", clearCloneSetCountHold);
+    window.removeEventListener("pointercancel", clearCloneSetCountHold);
     if (countHoldTimeoutRef.current !== null) {
       window.clearTimeout(countHoldTimeoutRef.current);
       countHoldTimeoutRef.current = null;
@@ -1089,6 +1251,34 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     requirement,
   });
 
+  const latestCloneSettingSnapshot = useMemo(
+    () => createCloneSettingSnapshot(cloneSettingName, "clone-setting-latest"),
+    [
+      cloneOutput,
+      platform,
+      market,
+      language,
+      ratio,
+      cloneSetCounts,
+      selectedCloneDetailModules,
+      cloneModelPanelTab,
+      selectedCloneModelScenes,
+      cloneModelCustomScene,
+      cloneModelGender,
+      cloneModelAge,
+      cloneModelEthnicity,
+      cloneModelBody,
+      cloneModelAppearance,
+      cloneVideoQuality,
+      cloneVideoDuration,
+      cloneVideoSmart,
+      cloneReferenceMode,
+      cloneReplicateLevel,
+      requirement,
+      cloneSettingName,
+    ],
+  );
+
   const persistLatestCloneSetting = () => {
     const snapshot = createCloneSettingSnapshot(cloneSettingName, "clone-setting-latest");
     latestCloneSettingRef.current = snapshot;
@@ -1136,8 +1326,8 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
   };
 
   useEffect(() => {
-    latestCloneSettingRef.current = createCloneSettingSnapshot(cloneSettingName, "clone-setting-latest");
-  });
+    latestCloneSettingRef.current = latestCloneSettingSnapshot;
+  }, [latestCloneSettingSnapshot]);
 
   useEffect(() => {
     const latestSetting = readCloneLatestSetting();
@@ -1275,8 +1465,15 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
       event.target.value = "";
       return;
     }
-    setGarmentImages((current) => [...current, ...createObjectImageItems(uploadedFiles, 5 - current.length, "garment")].slice(0, 5));
+    void (async () => {
+      try {
+        const nextImages = await createUploadedImageItems(uploadedFiles, 5 - garmentImages.length, "garment");
+        setGarmentImages((current) => [...current, ...nextImages].slice(0, 5));
         setTryOnStatus("ready");
+      } catch (err) {
+        toast.error(err instanceof Error ? err.message : "服饰图上传失败");
+      }
+    })();
     event.target.value = "";
   };
 
@@ -1288,8 +1485,15 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
       event.target.value = "";
       return;
     }
-    setDetailProductImages((current) => [...current, ...createObjectImageItems(uploadedFiles, 3 - current.length, "detail")].slice(0, 3));
+    void (async () => {
+      try {
+        const nextImages = await createUploadedImageItems(uploadedFiles, 3 - detailProductImages.length, "detail");
+        setDetailProductImages((current) => [...current, ...nextImages].slice(0, 3));
         setDetailStatus("ready");
+      } catch (err) {
+        toast.error(err instanceof Error ? err.message : "详情图上传失败");
+      }
+    })();
     event.target.value = "";
   };
 
@@ -1305,11 +1509,15 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     const urls: string[] = [];
     for (const item of images) {
       try {
-        const resp = await fetch(item.src);
-        const rawBlob = await resp.blob();
-        const mimeType = normalizeEcommerceImageMime(rawBlob.type);
-        const blob = rawBlob.type === mimeType ? rawBlob : new Blob([rawBlob], { type: mimeType });
-        const dataUrl = await blobToDataUrl(blob);
+        if (!item.file && item.src.startsWith("blob:")) {
+          throw new Error("本地预览图缺少原始文件，无法上传");
+        }
+        const rawBlob = item.file ?? (item.src.startsWith("data:") ? null : await (await fetch(item.src)).blob());
+        const mimeType = normalizeEcommerceImageMime(
+          rawBlob?.type || item.src.match(/^data:([^;,]+)/)?.[1] || "image/png",
+        );
+        const blob = rawBlob ? (rawBlob.type === mimeType ? rawBlob : new Blob([rawBlob], { type: mimeType })) : null;
+        const dataUrl = item.src.startsWith("data:") ? item.src : await blobToDataUrl(blob!);
         const { url } = await aiGenerationClient.uploadAsset({ dataUrl, name: item.name, mimeType, scope: "ecommerce-product" });
         urls.push(url);
       } catch {
@@ -1327,11 +1535,32 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     scene:   { label: "场景图", promptDesc: "lifestyle scene image showing the product in a realistic usage environment with natural surroundings" },
   };
 
+  const buildDetailModulePrompt = (moduleIds: string[]): string => {
+    if (!moduleIds.length) {
+      return "Generate a complete A+ detail layout with hero, selling points, usage scene, product detail, and specification modules.";
+    }
+
+    const selectedModules = cloneDetailModules.filter((module) => moduleIds.includes(module.id));
+    if (!selectedModules.length) return "";
+
+    const moduleList = selectedModules.map((module) => `${module.title}: ${module.desc}`).join("; ");
+    return `Only generate these selected A+ detail modules, no extra modules: ${moduleList}. Keep the output focused even if only one or two modules are selected.`;
+  };
+
   const buildSetSubPrompt = (countKey: CloneSetCountKey, index: number, totalCount: number, pPlatform: string, pRatio: string, pLanguage: string, pMarket: string): string => {
     const info = setCountLabels[countKey];
     const parts: string[] = [];
     parts.push(`Generate an e-commerce ${info.label.toLowerCase()} for a product listing.`);
     parts.push(info.promptDesc);
+    if (countKey === "white") {
+      parts.push("The output must be a clean white-background product image. Do not use lifestyle backgrounds, props, text overlays, or people.");
+    }
+    if (countKey === "scene") {
+      parts.push("The output must be a realistic usage scene image. Keep the product clearly visible and preserve its shape, color, and key details.");
+    }
+    if (countKey === "selling") {
+      parts.push("The output must be a selling-point graphic with clear hierarchy, concise copy, and product detail callouts.");
+    }
     if (totalCount > 1) {
       parts.push(`This is variant ${index + 1} of ${totalCount} — vary the angle, composition, or emphasis to make each distinct.`);
     }
@@ -1343,13 +1572,14 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
   const buildEcommerceImagePrompt = (
     outputKey: CloneOutputKey, userText: string,
     pPlatform: string, pRatio: string, pLanguage: string, pMarket: string,
-    tryOnOptions?: { gender?: string; age?: string; ethnicity?: string; body?: string; appearance?: string; scenes?: string[]; smartScene?: boolean },
+    tryOnOptions?: EcommerceImagePromptOptions,
   ): string => {
     const parts: string[] = [];
     if (outputKey === "detail") {
       parts.push("Generate a professional A+ detail page hero image for an e-commerce product listing.");
       parts.push("Create a high-impact first-screen visual that combines the product photo with key selling points, usage scenes, and detailed specifications in a cohesive layout.");
       parts.push(`Platform: ${pPlatform}. Aspect ratio: ${pRatio}. Language/copy: ${pLanguage}. Market: ${pMarket}.`);
+      if (outputKey === "detail" && tryOnOptions?.detailModules) parts.push(buildDetailModulePrompt(tryOnOptions.detailModules));
       parts.push("Follow platform A+ page best practices — clear hierarchy, professional typography, high visual impact.");
     } else if (outputKey === "model") {
       parts.push("Generate model/try-on lifestyle images for an e-commerce product listing.");
@@ -1362,6 +1592,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
         if (tryOnOptions.body) parts.push(`Model body type: ${tryOnOptions.body}.`);
         if (tryOnOptions.appearance) parts.push(`Model appearance details: ${tryOnOptions.appearance}.`);
         if (tryOnOptions.scenes?.length) parts.push(`Background scenes: ${tryOnOptions.scenes.join(", ")}.`);
+        if (tryOnOptions.customScene) parts.push(`Custom background scene: ${tryOnOptions.customScene}.`);
         if (tryOnOptions.smartScene) parts.push("Use smart scene matching to select the best background context.");
       }
       parts.push("Model should appear natural and appealing. Background should complement the product. Image must meet platform standards.");
@@ -1395,6 +1626,10 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
         setStatusFn("idle");
         return;
       }
+      if (imageAbortRef.current.current) {
+        setStatusFn("idle");
+        return;
+      }
 
       const generatedUrls: string[] = [];
       const stamp = Date.now();
@@ -1414,17 +1649,26 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
             gridMode: "single",
             referenceUrls,
           });
+          trackEcommerceTask(taskId);
 
           const storeId = imageGen.submitTask({ title: `${setCountLabels[countKey].label} ${i + 1}`, type: "image", status: "running", progress: 5, prompt: fullPrompt, sourceView: "ecommerce", taskId });
 
-          const resultUrl = await waitForTask(taskId, {
+          let resultUrl: string | null = null;
+          try {
+            resultUrl = await waitForTask(taskId, {
               abortRef: imageAbortRef.current,
               onProgress: () => {},
             });
+          } finally {
+            untrackEcommerceTask(taskId);
+          }
+
+          if (imageAbortRef.current.current) break;
 
           if (resultUrl) {
-            generatedUrls.push(resultUrl);
-            imageGen.updateTask(storeId, { status: "completed", progress: 100, resultUrl });
+            const persistedUrl = await persistGeneratedImageUrl(resultUrl, "ecommerce-generated", `ecommerce-${countKey}-${i + 1}`);
+            generatedUrls.push(persistedUrl);
+            imageGen.updateTask(storeId, { status: "completed", progress: 100, resultUrl: persistedUrl });
           } else {
             generatedUrls.push("");
             imageGen.updateTask(storeId, { status: "failed", error: "生成未返回结果" });
@@ -1432,9 +1676,17 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
         }
       }
 
+      if (imageAbortRef.current.current) {
+        setStatusFn("idle");
+        return;
+      }
       setResultFn(generatedUrls);
       setStatusFn(generatedUrls.some(Boolean) ? "done" : "idle");
     } catch (err) {
+      if (imageAbortRef.current.current) {
+        setStatusFn("idle");
+        return;
+      }
       if (err instanceof ServerRequestError && err.status === 402) {
         setResultFn([]);
         toast.error("余额不足，请充值后继续");
@@ -1454,7 +1706,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     pRatio: string,
     pLanguage: string,
     pMarket: string,
-    tryOnOptions?: { gender?: string; age?: string; ethnicity?: string; body?: string; appearance?: string; scenes?: string[]; smartScene?: boolean },
+    tryOnOptions?: EcommerceImagePromptOptions,
     statusFn?: (status: "generating" | "done" | "idle" | "failed") => void,
     resultFn?: (results: CloneResult[]) => void,
   ): Promise<void> => {
@@ -1465,6 +1717,10 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
         statusFn?.("idle");
         return;
       }
+      if (imageAbortRef.current.current) {
+        statusFn?.("idle");
+        return;
+      }
 
       const prompt = buildEcommerceImagePrompt(outputKey, userText, pPlatform, pRatio, pLanguage, pMarket, tryOnOptions);
       const stamp = Date.now();
@@ -1477,23 +1733,39 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
         gridMode: "single",
         referenceUrls,
       });
+      trackEcommerceTask(taskId);
 
       const storeId = imageGen.submitTask({ title: `电商${outputKey}图`, type: "image", status: "running", progress: 5, prompt, sourceView: "ecommerce", taskId });
 
-      const resultUrl = await waitForTask(taskId, {
+      let resultUrl: string | null = null;
+      try {
+        resultUrl = await waitForTask(taskId, {
           abortRef: imageAbortRef.current,
           onProgress: () => {},
         });
+      } finally {
+        untrackEcommerceTask(taskId);
+      }
+
+      if (imageAbortRef.current.current) {
+        statusFn?.("idle");
+        return;
+      }
 
       if (resultUrl) {
-        resultFn?.([{ id: `ecommerce-${stamp}`, src: resultUrl, label: selectedCloneOutput.label }]);
+        const persistedUrl = await persistGeneratedImageUrl(resultUrl, "ecommerce-generated", `ecommerce-${outputKey}`);
+        resultFn?.([{ id: `ecommerce-${stamp}`, src: persistedUrl, label: selectedCloneOutput.label }]);
         statusFn?.("done");
-        imageGen.updateTask(storeId, { status: "completed", progress: 100, resultUrl });
+        imageGen.updateTask(storeId, { status: "completed", progress: 100, resultUrl: persistedUrl });
       } else {
         statusFn?.("idle");
         imageGen.updateTask(storeId, { status: "failed", error: "生成未返回结果" });
       }
     } catch (err) {
+      if (imageAbortRef.current.current) {
+        statusFn?.("idle");
+        return;
+      }
       if (err instanceof ServerRequestError && err.status === 402) {
         resultFn?.([{ id: `ecommerce-error-402`, src: "", label: "余额不足，请充值后继续" }]);
         toast.error("余额不足，请充值后继续");
@@ -1527,21 +1799,38 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
         dataUrl: refDataUrl, name: videoOutfitRefFile.name,
         mimeType: videoOutfitRefFile.type || "image/png", scope: "video-outfit",
       });
+      if (imageAbortRef.current.current) {
+        setStatus("idle");
+        return;
+      }
 
       const { taskId } = await aiGenerationClient.createVideoEditTask({
         videoUrl: videoAsset.url,
         referenceUrls: [refAsset.url],
         prompt: requirement || undefined,
       });
+      trackEcommerceTask(taskId);
 
       const { waitForTask } = await import("../../api/taskSubscription");
-      imageAbortRef.current = { current: false };
-      const resultUrl = await waitForTask(taskId, { abortRef: imageAbortRef.current });
+      let resultUrl: string | null = null;
+      try {
+        resultUrl = await waitForTask(taskId, { abortRef: imageAbortRef.current });
+      } finally {
+        untrackEcommerceTask(taskId);
+      }
+      if (imageAbortRef.current.current) {
+        setStatus("idle");
+        return;
+      }
       if (resultUrl) {
         setResults([{ id: crypto.randomUUID(), src: resultUrl, label: "换装视频" }]);
       }
       setStatus("done");
     } catch (err) {
+      if (imageAbortRef.current.current) {
+        setStatus("idle");
+        return;
+      }
       setStatus("failed");
       toast.error(err instanceof Error ? err.message : "视频换装生成失败");
     }
@@ -1571,10 +1860,24 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
         (urls) => setProductSetResultImages(urls),
       );
     } else {
+      const clonePromptOptions: EcommerceImagePromptOptions | undefined =
+        cloneOutput === "model"
+          ? {
+              gender: cloneModelGender,
+              age: cloneModelAge,
+              ethnicity: cloneModelEthnicity,
+              body: cloneModelBody,
+              appearance: cloneModelAppearance,
+              scenes: selectedCloneModelScenes,
+              customScene: cloneModelCustomScene,
+            }
+          : cloneOutput === "detail"
+            ? { detailModules: selectedCloneDetailModules }
+            : undefined;
       void generateEcommerceImage(
         cloneOutput, productImages, requirement,
         platform, ratio, language, market,
-        undefined,
+        clonePromptOptions,
         (s: string) => setStatus(s as ProductCloneStatus), setResults,
       );
       lastFailedActionRef.current = () => handleGenerate();
@@ -1654,7 +1957,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     void generateEcommerceImage(
       "detail", detailProductImages, detailRequirement,
       detailPlatform, getPlatformDefaultRatio(detailPlatform), detailLanguage, detailMarket,
-      undefined,
+      { detailModules: selectedDetailModules },
       (s: string) => setDetailStatus(s as DetailStatus),
       (res) => setDetailResultUrl(res[0]?.src ?? null),
     );
@@ -1733,7 +2036,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     for (let i = 0; i < count; i++) {
       setPreviewCards.push({
         id: `${countKey}-${i}`,
-        src: productSetResultImages[setIndex] ?? productSetPreviewCards[setIndex % productSetPreviewCards.length]?.src ?? "",
+        src: productSetResultImages[setIndex] || productSetPreviewCards[setIndex % productSetPreviewCards.length]?.src || "",
         label: `${info.label}${count > 1 ? ` ${i + 1}` : ""}`,
       });
       setIndex++;
@@ -1748,7 +2051,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
     for (let i = 0; i < count; i++) {
       clonePreviewCards.push({
         id: `${countKey}-${i}`,
-        src: results[cloneIndex]?.src ?? productSetPreviewCards[cloneIndex % productSetPreviewCards.length]?.src ?? "",
+        src: results[cloneIndex]?.src || productSetPreviewCards[cloneIndex % productSetPreviewCards.length]?.src || "",
         label: `${info.label}${count > 1 ? ` ${i + 1}` : ""}`,
       });
       cloneIndex++;
@@ -1877,6 +2180,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
       clampCloneVideoDuration={clampCloneVideoDuration}
       setCloneVideoSmart={setCloneVideoSmart}
       handleGenerate={handleGenerate}
+      onCancelGenerate={handleCancelGenerate}
       formatRatioDisplayValue={formatRatioDisplayValue}
       setVideoOutfitFiles={(video, ref) => { setVideoOutfitVideoFile(video); setVideoOutfitRefFile(ref); }}
       onStartVideoPlan={() => setVideoPlanTrigger((n) => n + 1)}
@@ -1910,6 +2214,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
       handleDetailAiWrite={handleDetailAiWrite}
       toggleDetailModule={toggleDetailModule}
       handleDetailGenerate={handleDetailGenerate}
+      onCancelGenerate={handleCancelGenerate}
     />
   );
 
@@ -1947,6 +2252,7 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
       setSmartScene={setSmartScene}
       setTryOnRatio={setTryOnRatio}
       handleTryOnGenerate={handleTryOnGenerate}
+      onCancelGenerate={handleCancelGenerate}
     />
   );
 
@@ -2022,6 +2328,11 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
           {productSetStatus === "generating" ? <LoadingOutlined /> : null}
           {setPrimaryLabel}
         </button>
+        {productSetStatus === "generating" ? (
+          <button type="button" className="product-set-floating-submit product-set-floating-submit--cancel" onClick={handleCancelGenerate}>
+            {"\u53d6\u6d88\u751f\u6210"}
+          </button>
+        ) : null}
       </section>
 
       <button type="button" className="product-clone-help" aria-label="帮助">
@@ -2372,7 +2683,8 @@ function ProductClonePage(_props: ProductClonePageProps = {}) {
           <main className="product-clone-preview product-clone-preview--video" style={{ padding: 0, overflow: "hidden" }}>
             <EcommerceVideoWorkspace
               isAuthenticated={Boolean((_props as Record<string, unknown>).isAuthenticated)}
-              productImageDataUrls={productImages.map((img) => img.src)}
+              productImageDataUrls={ecommerceVideoImageDataUrls}
+              productImageFiles={ecommerceVideoImageFiles}
               requirement={requirement}
               platform={platform}
               aspectRatio={ratio.includes("9：16") || ratio.includes("9:16") ? "9:16" : ratio.includes("16：9") || ratio.includes("16:9") ? "16:9" : ratio.includes("3：4") || ratio.includes("3:4") ? "3:4" : "9:16"}

src/features/ecommerce/EcommerceTemplatesPage.tsx

@@ -8,6 +8,8 @@ import {
   TagsOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useMemo, useRef, useState, type CSSProperties } from "react";
+import "../../styles/pages/image-workbench.css";
+import "../../styles/pages/ecommerce.css";
 import type { WebProjectSummary } from "../../types";
 import { useDebounce } from "../../hooks/useDebounce";
 import { templateCarouselCases, templateCases, templateCategories, type TemplateCase } from "./ecommerceTemplates";

src/features/ecommerce/EcommerceVideoWorkspace.tsx

@@ -1,4 +1,5 @@
 import { Fragment, useCallback, useEffect, useMemo, useRef, useState } from "react";
+import "../../styles/pages/ecommerce-video.css";
 import {
   CloseOutlined,
   CopyOutlined,
@@ -34,6 +35,7 @@ import {
 interface EcommerceVideoWorkspaceProps {
   isAuthenticated: boolean;
   productImageDataUrls: string[];
+  productImageFiles?: Array<File | undefined>;
   requirement: string;
   platform: string;
   aspectRatio: string;
@@ -97,6 +99,7 @@ function stepCompletedFromProgress(step: PlanStep, p: EcommerceVideoPlanProgress
 export default function EcommerceVideoWorkspace({
   isAuthenticated,
   productImageDataUrls,
+  productImageFiles = [],
   requirement,
   platform,
   aspectRatio,
@@ -119,6 +122,7 @@ export default function EcommerceVideoWorkspace({
   const [previewMedia, setPreviewMedia] = useState<{ url: string; type: "image" | "video" } | null>(null);
   const abortControllerRef = useRef<AbortController | null>(null);
   const renderAbortRef = useRef({ current: false });
+  const actionNoticeTimerRef = useRef<number | null>(null);
   const setView = useAppStore((s) => s.setView);
   const keepaliveRestoredFingerprintRef = useRef<string | null>(null);
   const keepalivePollingStartedRef = useRef(false);
@@ -274,9 +278,23 @@ export default function EcommerceVideoWorkspace({
   // Note: keep-alive is NOT cleared on completion — results persist across page switches.
   // Only cleared when user explicitly starts a new plan via handlePlan.
 
+  useEffect(() => {
+    return () => {
+      if (actionNoticeTimerRef.current !== null) {
+        window.clearTimeout(actionNoticeTimerRef.current);
+      }
+    };
+  }, []);
+
   const showNotice = (msg: string) => {
     setActionNotice(msg);
-    setTimeout(() => setActionNotice(null), 3000);
+    if (actionNoticeTimerRef.current !== null) {
+      window.clearTimeout(actionNoticeTimerRef.current);
+    }
+    actionNoticeTimerRef.current = window.setTimeout(() => {
+      actionNoticeTimerRef.current = null;
+      setActionNotice(null);
+    }, 3000);
   };
 
   const handleDownload = async (url: string) => {
@@ -376,8 +394,9 @@ export default function EcommerceVideoWorkspace({
       });
     };
     try {
+      const productImageSources = productImageDataUrls.map((url, index) => productImageFiles[index] ?? url);
       const result = await runVideoPlan(
-        productImageDataUrls, requirement, buildConfig(),
+        productImageSources, requirement, buildConfig(),
         {
           onStepStart: (step) => setCurrentStep(step),
           onStepDone: (step) => {

src/features/ecommerce/ecommerceVideoService.ts

@@ -9,6 +9,7 @@ import {
   type AdVideoUserConfig,
 } from "../../api/adVideoPlanClient";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
+import { serverRequest } from "../../api/serverConnection";
 import { waitForTask } from "../../api/taskSubscription";
 import { resolveVideoRequestModel } from "../../utils/resolveVideoModel";
 import { normalizeEcommerceImageMime } from "./ecommerceImageValidation";
@@ -126,13 +127,61 @@ export interface PlanCallbacks {
   resumeFrom?: EcommerceVideoPlanProgress;
 }
 
+const LOCAL_PREVIEW_MISSING_FILE_MESSAGE = "Please re-upload the product image before generating the short video.";
+
+function readBlobAsDataUrl(blob: Blob): Promise<string> {
+  return new Promise((resolve, reject) => {
+    const reader = new FileReader();
+    reader.onload = () => resolve(String(reader.result || ""));
+    reader.onerror = () => reject(reader.error || new Error("File read failed"));
+    reader.readAsDataURL(blob);
+  });
+}
+
+function normalizeRemoteImageUrl(source: string): string | null {
+  try {
+    const url = new URL(source, typeof window !== "undefined" ? window.location.href : undefined);
+    return url.protocol === "http:" || url.protocol === "https:" ? url.href : null;
+  } catch {
+    return null;
+  }
+}
+
+async function uploadProductImageSource(source: string | Blob): Promise<string> {
+  if (typeof source === "string") {
+    if (source.startsWith("blob:")) {
+      throw new Error(LOCAL_PREVIEW_MISSING_FILE_MESSAGE);
+    }
+
+    if (source.startsWith("data:")) {
+      const mimeType = normalizeEcommerceImageMime(source.match(/^data:([^;,]+)/)?.[1] || "image/png");
+      const result = await aiGenerationClient.uploadAsset({ dataUrl: source, mimeType, scope: "ecommerce-product" });
+      return result.url;
+    }
+
+    const remoteUrl = normalizeRemoteImageUrl(source);
+    if (remoteUrl) {
+      const result = await aiGenerationClient.uploadAssetByUrl({ sourceUrl: remoteUrl, scope: "ecommerce-product" });
+      return result.url;
+    }
+
+    throw new Error("Unsupported product image URL. Please re-upload the product image.");
+  }
+
+  const mimeType = normalizeEcommerceImageMime(source.type || "image/png");
+  const blob = source.type === mimeType ? source : new Blob([source], { type: mimeType });
+  const dataUrl = await readBlobAsDataUrl(blob);
+  const result = await aiGenerationClient.uploadAsset({ dataUrl, mimeType, scope: "ecommerce-product" });
+  return result.url;
+}
+
 /**
  * Run the full ad video planning pipeline.
  * Supports resumption: if `resumeFrom` contains data for a step, that step is skipped.
  * After each step, `onPartialProgress` fires so callers can persist intermediate state.
  */
 export async function runVideoPlan(
-  imageDataUrls: string[],
+  imageSources: Array<string | Blob>,
   manualText: string,
   config: AdVideoUserConfig,
   callbacks: PlanCallbacks,
@@ -141,41 +190,30 @@ export async function runVideoPlan(
   const progress: EcommerceVideoPlanProgress = { ...resumeFrom };
   const emit = () => callbacks.onPartialProgress?.({ ...progress });
 
-  // ── Step: upload ──────────────────────────────────────
+  // Step: upload
   if (!progress.imageUrls?.length) {
     onStepStart("upload");
     const imageUrls: string[] = [];
     const rejected: string[] = [];
-    for (const srcUrl of imageDataUrls) {
+    for (const source of imageSources) {
       try {
-        const resp = await fetch(srcUrl);
-        const rawBlob = await resp.blob();
-        const mimeType = normalizeEcommerceImageMime(rawBlob.type);
-        const blob = rawBlob.type === mimeType ? rawBlob : new Blob([rawBlob], { type: mimeType });
-        const dataUrl = await new Promise<string>((resolve, reject) => {
-          const reader = new FileReader();
-          reader.onload = () => resolve(String(reader.result || ""));
-          reader.onerror = () => reject(reader.error || new Error("文件读取失败"));
-          reader.readAsDataURL(blob);
-        });
-        const result = await aiGenerationClient.uploadAsset({ dataUrl, mimeType, scope: "ecommerce-product" });
-        imageUrls.push(result.url);
+        imageUrls.push(await uploadProductImageSource(source));
       } catch (err) {
-        rejected.push(err instanceof Error ? err.message : "图片上传失败");
+        rejected.push(err instanceof Error ? err.message : "Image upload failed");
       }
     }
     if (rejected.length) {
       progress.uploadWarnings = rejected;
       callbacks.onUploadRejected?.(rejected);
     }
-    if (!imageUrls.length) throw new Error("图片上传失败，请检查图片格式或网络后重试");
+    if (!imageUrls.length) throw new Error("Image upload failed. Please check the image format or network and try again.");
     progress.imageUrls = imageUrls;
     onStepDone("upload");
     callbacks.onImagesUploaded?.(imageUrls);
     emit();
   }
 
-  // ── Step: analyze ─────────────────────────────────────
+  // Step: analyze
   if (progress.imageDescription === undefined) {
     onStepStart("analyze");
     progress.imageDescription = await analyzeProductImages(progress.imageUrls!, signal);
@@ -183,7 +221,7 @@ export async function runVideoPlan(
     emit();
   }
 
-  // ── Step: summary ─────────────────────────────────────
+  // Step: summary
   if (!progress.summary) {
     onStepStart("summary");
     progress.summary = await buildProductSummary(progress.imageDescription || "", manualText, signal);
@@ -191,7 +229,7 @@ export async function runVideoPlan(
     emit();
   }
 
-  // ── Step: selling ─────────────────────────────────────
+  // Step: selling
   if (!progress.selling) {
     onStepStart("selling");
     progress.selling = await extractSellingPoints(progress.summary, signal);
@@ -199,16 +237,16 @@ export async function runVideoPlan(
     emit();
   }
 
-  // ── Step: creative ────────────────────────────────────
+  // Step: creative
   if (!progress.creatives?.length) {
     onStepStart("creative");
     progress.creatives = await generateCreativeOptions(progress.selling, config, signal);
-    if (!progress.creatives.length) throw new Error("未能生成有效的广告创意");
+    if (!progress.creatives.length) throw new Error("Failed to generate valid ad creatives.");
     onStepDone("creative");
     emit();
   }
 
-  // ── Step: storyboard ──────────────────────────────────
+  // Step: storyboard
   if (!progress.storyboard) {
     onStepStart("storyboard");
     progress.storyboard = await generateStoryboard(progress.creatives[0], progress.summary, config, signal);
@@ -216,7 +254,7 @@ export async function runVideoPlan(
     emit();
   }
 
-  // ── Step: prompts ─────────────────────────────────────
+  // Step: prompts
   if (!progress.videoPrompts) {
     onStepStart("prompts");
     progress.videoPrompts = await generateVideoPrompts(progress.storyboard, progress.summary, signal);
@@ -224,7 +262,7 @@ export async function runVideoPlan(
     emit();
   }
 
-  // ── Step: compliance ──────────────────────────────────
+  // Step: compliance
   if (!progress.compliance) {
     onStepStart("compliance");
     progress.compliance = await checkCompliance(progress.summary, progress.selling, progress.storyboard, signal);
@@ -275,13 +313,15 @@ export async function renderSceneImage(
 
   const resultUrl = await waitForTask(taskId, {
     abortRef,
+    kind: "image",
+    model: "gpt-image-2",
     onProgress: (e) => callbacks.onSceneImageProgress(input.sceneId, e.progress),
   });
 
   if (resultUrl) {
     callbacks.onSceneImageCompleted(input.sceneId, resultUrl);
   } else {
-    callbacks.onSceneImageFailed(input.sceneId, "图片生成未返回结果");
+    callbacks.onSceneImageFailed(input.sceneId, "Image generation returned no result.");
   }
 }
 
@@ -330,13 +370,15 @@ export async function renderScene(
 
   const resultUrl = await waitForTask(taskId, {
     abortRef,
+    kind: "video",
+    model,
     onProgress: (e) => callbacks.onSceneProgress(input.sceneId, e.progress),
   });
 
   if (resultUrl) {
     callbacks.onSceneCompleted(input.sceneId, resultUrl);
   } else {
-    callbacks.onSceneFailed(input.sceneId, "任务未返回结果");
+    callbacks.onSceneFailed(input.sceneId, "Task returned no result.");
   }
 }
 
@@ -355,7 +397,7 @@ export function buildSceneTasks(
   });
 }
 
-// ── Video History API ──────────────────────────────────
+// Video History API
 
 export interface VideoHistoryScene {
   sceneId: number;
@@ -389,15 +431,6 @@ export interface VideoHistoryListResponse {
   offset: number;
 }
 
-import { getStoredToken } from "../../api/serverConnection";
-
-const API_BASE = "/api/ai/ecommerce/video-history";
-
-function getAuthHeaders(): Record<string, string> {
-  const token = getStoredToken();
-  return token ? { Authorization: `Bearer ${token}` } : {};
-}
-
 export async function buildDurableVideoHistoryPayload(payload: SaveVideoHistoryPayload): Promise<SaveVideoHistoryPayload> {
   const uploadAssetByUrl = payload.uploadAssetByUrl;
   const scenes = await Promise.all(
@@ -445,13 +478,12 @@ export async function buildDurableVideoHistoryPayload(payload: SaveVideoHistoryP
 
 export async function saveVideoHistory(payload: SaveVideoHistoryPayload): Promise<{ id: number; createdAt: string }> {
   const { uploadAssetByUrl: _uploadAssetByUrl, ...historyPayload } = await buildDurableVideoHistoryPayload(payload);
-  const res = await fetch(API_BASE, {
+  return serverRequest<{ id: number; createdAt: string }>("ai/ecommerce/video-history", {
     method: "POST",
-    headers: { "Content-Type": "application/json", ...getAuthHeaders() },
-    body: JSON.stringify(historyPayload),
+    body: historyPayload,
+    maxRetries: 0,
+    fallbackMessage: "Failed to save video history",
   });
-  if (!res.ok) throw new Error("保存历史记录失败");
-  return res.json();
 }
 
 function removeTemporaryHistoryUrls(item: VideoHistoryItem): VideoHistoryItem {
@@ -470,12 +502,10 @@ export async function fetchVideoHistory(
   limit = 20,
   offset = 0,
 ): Promise<VideoHistoryListResponse> {
-  const res = await fetch(
-    `${API_BASE}?limit=${limit}&offset=${offset}`,
-    { headers: getAuthHeaders() },
-  );
-  if (!res.ok) throw new Error("获取历史记录失败");
-  const history = (await res.json()) as VideoHistoryListResponse;
+  const search = new URLSearchParams({ limit: String(limit), offset: String(offset) });
+  const history = await serverRequest<VideoHistoryListResponse>(`ai/ecommerce/video-history?${search}`, {
+    fallbackMessage: "Failed to fetch video history",
+  });
   return {
     ...history,
     items: history.items.map(removeTemporaryHistoryUrls),
@@ -483,9 +513,9 @@ export async function fetchVideoHistory(
 }
 
 export async function deleteVideoHistory(id: number): Promise<void> {
-  const res = await fetch(`${API_BASE}/${id}`, {
+  await serverRequest<void>(`ai/ecommerce/video-history/${id}`, {
     method: "DELETE",
-    headers: getAuthHeaders(),
+    maxRetries: 0,
+    fallbackMessage: "Failed to delete video history",
   });
-  if (!res.ok) throw new Error("删除失败");
 }

src/features/ecommerce/panels/EcommerceClonePanel.tsx

@@ -133,6 +133,7 @@ interface EcommerceClonePanelProps {
   clampCloneVideoDuration: (value: number) => number;
   setCloneVideoSmart: (updater: (current: boolean) => boolean) => void;
   handleGenerate: () => void;
+  onCancelGenerate: () => void;
   formatRatioDisplayValue: (value: string) => string;
   setVideoOutfitFiles?: (video: File | null, ref: File | null) => void;
   onStartVideoPlan?: () => void;
@@ -200,6 +201,7 @@ export default function EcommerceClonePanel({
   clampCloneVideoDuration,
   setCloneVideoSmart,
   handleGenerate,
+  onCancelGenerate,
   formatRatioDisplayValue,
   setVideoOutfitFiles,
   onStartVideoPlan,
@@ -746,6 +748,11 @@ export default function EcommerceClonePanel({
           {status === "generating" ? <LoadingOutlined /> : status === "failed" ? <ReloadOutlined /> : null}
           {status === "generating" ? "生成中..." : status === "failed" ? "重新生成" : cloneOutput === "video-outfit" ? "✦ 开始换装" : "✦ 开始生成"}
         </button>
+        {status === "generating" && cloneOutput !== "video" ? (
+          <button type="button" className="clone-ai-generate clone-ai-generate--cancel" onClick={onCancelGenerate}>
+            {"\u53d6\u6d88\u751f\u6210"}
+          </button>
+        ) : null}
       </div>
     </>
   );

src/features/ecommerce/panels/EcommerceDetailPanel.tsx

@@ -28,6 +28,7 @@ interface EcommerceDetailPanelProps {
   handleDetailAiWrite: () => void;
   toggleDetailModule: (id: string) => void;
   handleDetailGenerate: () => void;
+  onCancelGenerate: () => void;
 }
 
 export default function EcommerceDetailPanel({
@@ -56,6 +57,7 @@ export default function EcommerceDetailPanel({
   handleDetailAiWrite,
   toggleDetailModule,
   handleDetailGenerate,
+  onCancelGenerate,
 }: EcommerceDetailPanelProps) {
   return (
     <>
@@ -162,6 +164,11 @@ export default function EcommerceDetailPanel({
           {detailStatus === "generating" ? <LoadingOutlined /> : null}
           {detailPrimaryLabel}
         </button>
+        {detailStatus === "generating" ? (
+          <button type="button" className="product-clone-primary product-clone-primary--cancel" onClick={onCancelGenerate}>
+            {"\u53d6\u6d88\u751f\u6210"}
+          </button>
+        ) : null}
       </footer>
     </>
   );

src/features/ecommerce/panels/EcommerceTryOnPanel.tsx

@@ -35,6 +35,7 @@ interface EcommerceTryOnPanelProps {
   setSmartScene: (updater: (current: boolean) => boolean) => void;
   setTryOnRatio: (value: string) => void;
   handleTryOnGenerate: () => void;
+  onCancelGenerate: () => void;
 }
 
 export default function EcommerceTryOnPanel({
@@ -70,6 +71,7 @@ export default function EcommerceTryOnPanel({
   setSmartScene,
   setTryOnRatio,
   handleTryOnGenerate,
+  onCancelGenerate,
 }: EcommerceTryOnPanelProps) {
   return (
     <>
@@ -213,6 +215,11 @@ export default function EcommerceTryOnPanel({
           {tryOnStatus === "generating" ? <LoadingOutlined /> : null}
           {tryOnPrimaryLabel}
         </button>
+        {tryOnStatus === "generating" ? (
+          <button type="button" className="product-clone-primary product-clone-primary--cancel" onClick={onCancelGenerate}>
+            {"\u53d6\u6d88\u751f\u6210"}
+          </button>
+        ) : null}
       </footer>
     </>
   );

src/features/home/ScriptReviewShowcase.tsx

@@ -50,6 +50,12 @@ function ScriptReviewShowcase() {
   const scoreRef = useRef<HTMLSpanElement>(null);
   const barRefs = useRef<(HTMLDivElement | null)[]>([]);
   const scoreValRefs = useRef<(HTMLSpanElement | null)[]>([]);
+  const animationTimersRef = useRef<ReturnType<typeof setTimeout>[]>([]);
+
+  const clearAnimationTimers = () => {
+    animationTimersRef.current.forEach((timer) => clearTimeout(timer));
+    animationTimersRef.current = [];
+  };
 
   useEffect(() => {
     const el = document.getElementById("script-review-showcase");
@@ -69,18 +75,23 @@ function ScriptReviewShowcase() {
 
   useEffect(() => {
     if (!animated) return;
-    const timer = setTimeout(() => {
+    clearAnimationTimers();
+    const scheduleAnimation = (callback: () => void, delay: number) => {
+      const timer = setTimeout(callback, delay);
+      animationTimersRef.current.push(timer);
+    };
+    scheduleAnimation(() => {
       animateNumber(scoreRef.current, 77, 1400);
       barRefs.current.forEach((bar, i) => {
         if (!bar) return;
         const pct = parseFloat(bar.dataset.pct ?? "0");
-        setTimeout(() => { bar.style.height = `${pct}%`; }, i * 100 + 400);
+        scheduleAnimation(() => { bar.style.height = `${pct}%`; }, i * 100 + 400);
       });
       scoreValRefs.current.forEach((el, i) => {
-        setTimeout(() => animateNumber(el, parseInt(el?.dataset.target ?? "0"), 800), i * 100 + 400);
+        scheduleAnimation(() => animateNumber(el, parseInt(el?.dataset.target ?? "0"), 800), i * 100 + 400);
       });
     }, 500);
-    return () => clearTimeout(timer);
+    return clearAnimationTimers;
   }, [animated]);
 
   return (

src/features/image-workbench/ImageWorkbenchPage.tsx

@@ -24,6 +24,7 @@ import {
   ThunderboltOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useRef, useState } from "react";
+import "../../styles/pages/image-workbench.css";
 import type { WebImageWorkbenchTool, WebViewKey } from "../../types";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { waitForTask } from "../../api/taskSubscription";
@@ -80,6 +81,20 @@ const CAMERA_EFFECT_PRESETS = [
   { key: "hdr", label: "HDR", prompt: "HDR高动态范围，明暗细节丰富，色彩饱和" },
 ] as const;
 
+const CAMERA_EFFECT_PROMPT_BY_KEY = new Map<string, string>(
+  CAMERA_EFFECT_PRESETS.map((effect) => [effect.key, effect.prompt]),
+);
+
+function getCameraEffectsPrompt(effectKeys: Set<string>): string {
+  if (effectKeys.size === 0) return "";
+  const prompts: string[] = [];
+  for (const key of effectKeys) {
+    const prompt = CAMERA_EFFECT_PROMPT_BY_KEY.get(key);
+    if (prompt) prompts.push(prompt);
+  }
+  return prompts.join("，");
+}
+
 function shotScaleToZoom(shotScale: number): number {
   const map: Record<number, number> = { 1: 24, 2: 28, 3: 32, 4: 35, 5: 40, 6: 50, 7: 60, 8: 75, 9: 85, 10: 100 };
   return map[Math.round(Math.max(1, Math.min(10, shotScale)))] || 40;
@@ -152,6 +167,7 @@ function ImageWorkbenchPage({ initialTool = "workbench", onOpenMore, onSelectVie
     abortRef.current = false;
     taskIdRef.current = saved.taskId;
     void waitForTask(saved.taskId, {
+      kind: "image",
       onProgress: (e) => {
         setStatus(`${e.status} / ${e.progress}%`);
         if (e.status === "completed" && e.resultUrl) {
@@ -398,9 +414,7 @@ function ImageWorkbenchPage({ initialTool = "workbench", onOpenMore, onSelectVie
       const refUrls = await uploadReferenceImages([cameraImage]);
       const model = "wan2.7-image-pro";
       const cameraDesc = `镜头预设: ${cameraPreset}, 方向: ${cameraDirection}, 水平: ${cameraHorizontal}°, 垂直: ${cameraVertical}°, 倾斜: ${cameraRoll}°, 焦距: ${cameraZoom}mm`;
-      const effectsDesc = cameraEffects.size > 0
-        ? Array.from(cameraEffects).map((key) => CAMERA_EFFECT_PRESETS.find((e) => e.key === key)?.prompt).filter(Boolean).join("，")
-        : "";
+      const effectsDesc = getCameraEffectsPrompt(cameraEffects);
       const fullPrompt = cameraPromptEnabled && cameraPrompt.trim()
         ? `${cameraDesc}${effectsDesc ? `。视觉效果: ${effectsDesc}` : ""}。${cameraPrompt}`
         : `${cameraDesc}${effectsDesc ? `。视觉效果: ${effectsDesc}` : ""}。保持人物和场景一致，按照镜头参数重新构图。`;
@@ -446,6 +460,7 @@ function ImageWorkbenchPage({ initialTool = "workbench", onOpenMore, onSelectVie
 
   const pollTaskUntilDone = useCallback(async (taskId: string): Promise<string | null> => {
     return waitForTask(taskId, {
+      kind: "image",
       abortRef,
       onProgress: (e) => setGenerationProgress(e.progress || 0),
     });

src/features/more/MorePage.tsx

@@ -7,12 +7,14 @@ import {
   DeleteOutlined,
   EditOutlined,
   HighlightOutlined,
+  MessageOutlined,
   SwapOutlined,
   ThunderboltOutlined,
   VideoCameraOutlined,
 } from "@ant-design/icons";
 import type { ReactNode } from "react";
 import { useCallback, useEffect, useState } from "react";
+import "../../styles/pages/more.css";
 import type { WebImageWorkbenchTool, WebViewKey } from "../../types";
 
 interface MorePageProps {
@@ -42,6 +44,7 @@ const tools: MoreTool[] = [
   { id: "camera", title: "镜头实验室", text: "角度、焦段和机位控制", icon: <CameraOutlined />, category: "image", imageTool: "camera", ready: true },
   { id: "upscale", title: "分辨率提升", text: "图片与视频高清超分", icon: <ColumnWidthOutlined />, category: "image", target: "resolutionUpscale", ready: true },
   { id: "watermarkRemoval", title: "去水印", text: "AI 智能去除图片水印和文字", icon: <DeleteOutlined />, category: "image", target: "watermarkRemoval", ready: true },
+  { id: "dialogGenerator", title: "交互式对话框生成器", text: "上传背景图，添加可拖拽编辑的对话框", icon: <MessageOutlined />, category: "image", target: "dialogGenerator", ready: true },
   { id: "subtitleRemoval", title: "字幕去除", text: "AI 智能擦除视频字幕", icon: <DeleteOutlined />, category: "video", target: "subtitleRemoval", ready: true },
   { id: "digitalHuman", title: "数字人", text: "参考人像与音频生成口播视频", icon: <CustomerServiceOutlined />, category: "video", target: "digitalHuman", ready: true, featured: true },
   { id: "characterMix", title: "角色迁移", text: "人物图迁移到参考视频动作", icon: <SwapOutlined />, category: "video", target: "characterMix", ready: true },

src/features/profile/ProfilePage.tsx

@@ -18,6 +18,7 @@ import {
   UserOutlined,
 } from "@ant-design/icons";
 import { useEffect, useRef, useState, type ChangeEvent, type FormEvent } from "react";
+import "../../styles/pages/profile.css";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { assetClient } from "../../api/assetClient";
 import { communityClient, type ServerCommunityCase } from "../../api/communityClient";
@@ -260,6 +261,30 @@ function ProfilePage({
   const packageLabel = session?.user.activePackages?.[0]?.name || "按量积分";
   const avatarUrl = session?.user.avatarUrl || localAvatarUrl || null;
   const displayedBio = profileBio.trim() || "这个人还没有填写个性签名";
+  const activePanelTitle =
+    activePanel === "works"
+      ? "代表作"
+      : activePanel === "projects"
+        ? "服务器项目"
+        : activePanel === "assets"
+          ? "我的资产"
+          : "社区审核";
+  const activePanelDescription =
+    activePanel === "works"
+      ? "最近完成的高质量生成内容"
+      : activePanel === "projects"
+        ? "云端同步的创作项目"
+        : activePanel === "assets"
+          ? "可复用的图片、视频与素材"
+          : "已提交社区的案例状态";
+  const activePanelCount =
+    activePanel === "works"
+      ? visibleWorks.length
+      : activePanel === "projects"
+        ? projects.length
+        : activePanel === "assets"
+          ? savedAssets.length
+          : communityCases.length;
   const emailLooksValid = /^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(email.trim());
   const phoneLooksValid = /^1[3-9]\d{9}$/.test(phone.trim());
   const passwordLooksReady = password.length >= (mode === "register" ? 6 : 1);
@@ -765,9 +790,9 @@ function ProfilePage({
           className={`profile-page__banner${bannerUrl ? " has-image" : ""}`}
           style={bannerUrl ? { backgroundImage: `url(${bannerUrl})` } : undefined}
         >
-          <button type="button" className="profile-page__banner-btn" onClick={() => bannerInputRef.current?.click()}>
+          <button type="button" className="profile-page__banner-btn" onClick={() => bannerInputRef.current?.click()} aria-label="更换背景">
             <CameraOutlined />
-            更换背景
+            <span className="profile-page__banner-btn-label">更换背景</span>
           </button>
           <div className="profile-page__banner-overlay" />
         </header>
@@ -847,35 +872,39 @@ function ProfilePage({
                   className={accountPanel === "credits" ? "is-active" : ""}
                   onClick={() => setAccountPanel("credits")}
                 >
-                  积分 {(totalBalance / 100).toFixed(2)}
+                  <span>可用积分</span>
+                  <strong>{(totalBalance / 100).toFixed(2)}</strong>
                 </button>
                 <button
                   type="button"
                   className={accountPanel === "tasks" ? "is-active" : ""}
                   onClick={() => setAccountPanel("tasks")}
                 >
-                  任务 {tasks.length}
+                  <span>生成任务</span>
+                  <strong>{tasks.length}</strong>
                 </button>
               </div>
-              <div className="profile-page__upload-card profile-page__upload-card--meta">
+              <div className="profile-page__account-summary">
                 {accountPanel === "credits" ? (
                   <>
-                    <span className="profile-page__meta-item">
+                    <span className="profile-page__account-summary-main">
                       <small>当前账号</small>
                       <strong>{displayName}</strong>
+                      <em>{packageLabel}</em>
                     </span>
-                    <span className="profile-page__meta-item">
+                    <span className="profile-page__account-summary-metric">
                       <small>积分剩余</small>
                       <strong>{(usage.balanceCents / 100).toFixed(2)}</strong>
                     </span>
                   </>
                 ) : (
                   <>
-                    <span className="profile-page__meta-item">
-                      <small>任务总数</small>
-                      <strong>{tasks.length}</strong>
+                    <span className="profile-page__account-summary-main">
+                      <small>任务概览</small>
+                      <strong>{tasks.length} 个任务</strong>
+                      <em>{completedTasks.length} 个已完成</em>
                     </span>
-                    <span className="profile-page__meta-item">
+                    <span className="profile-page__account-summary-metric">
                       <small>已完成</small>
                       <strong>{completedTasks.length}</strong>
                     </span>
@@ -884,6 +913,7 @@ function ProfilePage({
               </div>
             </div>
 
+            <div className="profile-page__actions">
               <button type="button" className="profile-page__share-btn profile-page__share-btn--plan">
                 <ShareAltOutlined />
                 {packageLabel}
@@ -901,34 +931,31 @@ function ProfilePage({
                 <LockOutlined />
                 退出登录
               </button>
+            </div>
           </aside>
 
           <main className="profile-page__main">
             <div className="profile-page__main-tabs">
               <button type="button" className={activePanel === "works" ? "is-active" : ""} onClick={() => setActivePanel("works")}>
-                我的作品
+                <span>我的作品</span>
               </button>
               <button type="button" className={activePanel === "projects" ? "is-active" : ""} onClick={() => setActivePanel("projects")}>
-                我的项目
+                <span>我的项目</span>
               </button>
               <button type="button" className={activePanel === "assets" ? "is-active" : ""} onClick={() => setActivePanel("assets")}>
-                我的资产
+                <span>我的资产</span>
               </button>
               <button type="button" className={activePanel === "community" ? "is-active" : ""} onClick={() => setActivePanel("community")}>
-                社区发布
+                <span>社区发布</span>
               </button>
             </div>
 
             <div className="profile-page__section">
-              <span className="profile-page__section-label">
-                {activePanel === "works"
-                  ? "代表作"
-                  : activePanel === "projects"
-                    ? "服务器项目"
-                    : activePanel === "assets"
-                      ? "我的资产"
-                      : "社区审核"}
-              </span>
+              <div className="profile-page__section-head">
+                <span className="profile-page__section-label">{activePanelTitle}</span>
+                <span className="profile-page__section-desc">{activePanelDescription}</span>
+                <span className="profile-page__section-meta">{activePanelCount} 项</span>
+              </div>
               {renderActivePanel()}
             </div>
           </main>

src/features/provider-health/ProviderHealthPage.tsx

@@ -1,4 +1,5 @@
 import { useCallback, useEffect, useState } from "react";
+import "../../styles/pages/provider-health.css";
 import {
   CheckCircleOutlined,
   CloseCircleOutlined,

src/features/resolution-upscale/ResolutionUpscalePage.tsx

@@ -16,6 +16,7 @@ import {
   VideoCameraOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useRef, useState } from "react";
+import "../../styles/pages/image-workbench.css";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { waitForTask } from "../../api/taskSubscription";
 import { saveToolTaskState, loadToolTaskState, clearToolTaskState } from "../workbench/toolKeepalive";

src/features/script-tokens/ScriptTokensPage.tsx

@@ -9,6 +9,8 @@ import {
   UploadOutlined,
 } from "@ant-design/icons";
 import { useEffect, useRef, useState, type ChangeEvent, type KeyboardEvent } from "react";
+import "../../styles/pages/script-tokens-v5.css";
+import "../../styles/pages/script-tokens.css";
 import { evaluateScript } from "../../api/scriptEvalClient";
 import { buildApiUrl, getStoredToken } from "../../api/serverConnection";
 import { useSessionStore } from "../../stores";
@@ -25,6 +27,8 @@ interface EvalResult {
   totalScore: number;
   grade: string;
   dimensionScores: Record<string, number>;
+  subScores?: Record<string, Record<string, number>>;
+  evidence?: Record<string, string[]>;
   summary: string;
   issues: string[];
   highlights: string[];
@@ -192,6 +196,72 @@ const SCORE_DIMENSIONS: ScoreDimension[] = [
   { key: "content", label: "内容深度", maxScore: 15, hint: "主题表达·情感共鸣·思想内核", detail: "核心设定将科技伦理与人性困境紧密结合，主题表达深刻有力。" },
 ];
 
+const SUB_SCORE_LABELS: Record<string, string> = {
+  openingImpact: "开篇冲击",
+  suspenseChain: "悬念链",
+  sceneHook: "场内钩子",
+  structure: "结构完整",
+  rhythm: "节奏推进",
+  conflict: "冲突强度",
+  reversal: "反转效率",
+  motivation: "动机清晰",
+  arc: "人物弧光",
+  voice: "语言辨识",
+  relationship: "关系张力",
+  causality: "因果链",
+  worldRules: "世界规则",
+  foreshadowing: "伏笔回收",
+  continuity: "连续性",
+  sceneDetail: "场景细节",
+  shotPotential: "镜头潜力",
+  aigcFeasibility: "AIGC 可实现",
+  theme: "主题表达",
+  emotion: "情感共鸣",
+  marketFit: "市场匹配",
+  originality: "原创性",
+};
+
+function clampScore(score: unknown, maxScore: number): number {
+  const numeric = Number(score);
+  if (!Number.isFinite(numeric)) return 0;
+  return Math.max(0, Math.min(maxScore, numeric));
+}
+
+function getDimensionScore(result: EvalResult, dim: ScoreDimension): number {
+  const value = result.dimensionScores[dim.key] ?? (dim.key === "logic" ? result.dimensionScores.dialogue : undefined);
+  return clampScore(value, dim.maxScore);
+}
+
+function formatSubScoreLabel(key: string): string {
+  return SUB_SCORE_LABELS[key] ?? key.replace(/([A-Z])/g, " $1").trim();
+}
+
+function getDimensionSubScores(result: EvalResult, dim: ScoreDimension): Array<[string, number]> {
+  const scores = result.subScores?.[dim.key] ?? (dim.key === "logic" ? result.subScores?.dialogue : undefined);
+  if (!scores) return [];
+  return Object.entries(scores)
+    .map(([key, value]) => [key, clampScore(value, dim.maxScore)] as [string, number])
+    .filter(([, value]) => value > 0)
+    .slice(0, 5);
+}
+
+function normalizeEvidenceItems(evidence: unknown[] | undefined, limit: number): string[] {
+  if (!Array.isArray(evidence)) return [];
+  const items: string[] = [];
+  for (const item of evidence) {
+    const value = String(item).trim();
+    if (!value) continue;
+    items.push(value);
+    if (items.length >= limit) break;
+  }
+  return items;
+}
+
+function getDimensionEvidence(result: EvalResult, dim: ScoreDimension): string[] {
+  const evidence = result.evidence?.[dim.key] ?? (dim.key === "logic" ? result.evidence?.dialogue : undefined);
+  return normalizeEvidenceItems(evidence, 3);
+}
+
 function formatReportMarkdown(result: EvalResult, script: string): string {
   const lines: string[] = [];
   lines.push(`# 剧本评测报告`);
@@ -203,9 +273,16 @@ function formatReportMarkdown(result: EvalResult, script: string): string {
   lines.push("");
   lines.push(`## 六维评分`);
   for (const dim of SCORE_DIMENSIONS) {
-    const score = result.dimensionScores[dim.key] ?? 0;
+    const score = getDimensionScore(result, dim);
     const pct = Math.round((score / dim.maxScore) * 100);
+    const subScores = getDimensionSubScores(result, dim);
+    const evidence = getDimensionEvidence(result, dim);
+    const nestedReportLines = [
+      ...subScores.map(([key, value]) => `  - ${formatSubScoreLabel(key)}: ${value}`),
+      ...evidence.map((item) => `  - 证据: ${item}`),
+    ];
     lines.push(`- **${dim.label}**: ${score}/${dim.maxScore} (${pct}%) — ${dim.hint}`);
+    lines.push(...nestedReportLines);
   }
   if (result.highlights.length > 0) {
     lines.push("");
@@ -636,7 +713,7 @@ function ScriptTokensPage() {
                       </div>
                       <div className="script-eval-report__chart-grid">
                         {SCORE_DIMENSIONS.map((dim, dimIndex) => {
-                          const score = result.dimensionScores[dim.key] ?? 0;
+                          const score = getDimensionScore(result, dim);
                           const pct = Math.max(0, Math.min(1, score / dim.maxScore));
                           const lossPct = 1 - pct;
                           const isPerfect = score === dim.maxScore;
@@ -676,6 +753,51 @@ function ScriptTokensPage() {
                     </div>
                   </section>
 
+                  <div className="script-eval-report__detail-grid">
+                    {SCORE_DIMENSIONS.map((dim) => {
+                      const score = getDimensionScore(result, dim);
+                      const pct = Math.round((score / dim.maxScore) * 100);
+                      const subScores = getDimensionSubScores(result, dim);
+                      const evidence = getDimensionEvidence(result, dim);
+
+                      return (
+                        <section className="script-eval-report__detail-card" key={dim.key}>
+                          <header className="script-eval-report__detail-head">
+                            <div>
+                              <span>{dim.label}</span>
+                              <strong>{score}<small>/{dim.maxScore}</small></strong>
+                            </div>
+                            <em>{pct}%</em>
+                          </header>
+                          <p className="script-eval-report__detail-hint">{dim.hint}</p>
+                          {subScores.length > 0 ? (
+                            <div className="script-eval-report__subscore-list">
+                              {subScores.map(([key, value]) => {
+                                const subPct = Math.max(0, Math.min(100, Math.round((value / dim.maxScore) * 100)));
+                                return (
+                                  <div className="script-eval-report__subscore-row" key={key}>
+                                    <span>{formatSubScoreLabel(key)}</span>
+                                    <div className="script-eval-report__subscore-bar" aria-hidden="true">
+                                      <i style={{ width: `${subPct}%` }} />
+                                    </div>
+                                    <b>{value}</b>
+                                  </div>
+                                );
+                              })}
+                            </div>
+                          ) : (
+                            <p className="script-eval-report__detail-empty">等待模型返回更细的子项评分；当前先按主维度分数展示。</p>
+                          )}
+                          {evidence.length > 0 ? (
+                            <ul className="script-eval-report__evidence-list">
+                              {evidence.map((item, index) => <li key={index}>{item}</li>)}
+                            </ul>
+                          ) : null}
+                        </section>
+                      );
+                    })}
+                  </div>
+
                   <div className="script-eval-report__findings">
                     {result.highlights.length > 0 ? (
                       <section className="script-eval-report__finding-group is-highlight">

src/features/script-tokens/TokenUsagePage.tsx

@@ -11,6 +11,8 @@ import {
   WarningOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useMemo, useState } from "react";
+import "../../styles/pages/script-tokens-v5.css";
+import "../../styles/pages/script-tokens.css";
 import type {
   WebEnterpriseUsageMember,
   WebEnterpriseUsageRecord,

src/features/subtitle-removal/SubtitleRemovalPage.tsx

@@ -13,6 +13,8 @@ import {
   VideoCameraOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useRef, useState, type CSSProperties } from "react";
+import "../../styles/pages/image-workbench.css";
+import "../../styles/pages/subtitle-removal.css";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { waitForTask } from "../../api/taskSubscription";
 import { saveToolTaskState, loadToolTaskState, clearToolTaskState } from "../workbench/toolKeepalive";

src/features/watermark-removal/WatermarkRemovalPage.tsx

@@ -13,6 +13,7 @@ import {
   SwapOutlined,
 } from "@ant-design/icons";
 import { useCallback, useEffect, useRef, useState } from "react";
+import "../../styles/pages/image-workbench.css";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { waitForTask } from "../../api/taskSubscription";
 import { saveToolTaskState, loadToolTaskState, clearToolTaskState } from "../workbench/toolKeepalive";

src/features/workbench/WorkbenchPage.tsx

@@ -34,6 +34,7 @@ import {
   type ReactNode,
   type SyntheticEvent,
 } from "react";
+import "../../styles/pages/workbench.css";
 import type { WebGenerationPreviewTask, WebUserSession } from "../../types";
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { claimGenerationSlot, getActiveGenerationTaskCount, getGenerationUserKey, releaseGenerationSlot } from "../../api/generationConcurrency";
@@ -64,6 +65,12 @@ import {
 import { renderMarkdownBlocks } from "./markdownRenderer";
 import { downloadResultAsset } from "./workbenchDownload";
 import { translateTaskError } from "../../utils/translateTaskError";
+import {
+  buildLocalTimeoutMessage,
+  formatTextTokenUsage,
+  getTaskTimeoutPolicy,
+  isTaskLocallyTimedOut,
+} from "../../utils/taskLifecycle";
 import { detectMentionTrigger } from "../../utils/mentionTrigger";
 import {
   isHappyHorseModel,
@@ -103,6 +110,7 @@ import {
   VIDEO_MODEL_OPTIONS,
   RATIO_OPTIONS,
   GRID_MODE_OPTIONS,
+  GRID_SUPPORTED_MODELS,
   VIDEO_FRAME_OPTIONS,
   VIDEO_DURATION_OPTIONS,
   MESSAGE_STORAGE_KEY,
@@ -250,6 +258,8 @@ function WorkbenchPage({
   const [toolbarMenuId, setToolbarMenuId] = useState<ToolbarMenuId>(null);
   const [referenceItems, setReferenceItems] = useState<ReferenceItem[]>([]);
   const [referencePreviewOpen, setReferencePreviewOpen] = useState(false);
+  const [isComposerDragging, setIsComposerDragging] = useState(false);
+  const composerDragCounterRef = useRef(0);
   const [messagePreviewAttachment, setMessagePreviewAttachment] = useState<ChatAttachment | null>(null);
   const [selectedPromptCase, setSelectedPromptCase] = useState<PromptCaseViewModel | null>(null);
   const [serverPromptCases, setServerPromptCases] = useState<PromptCaseViewModel[]>([]);
@@ -360,7 +370,7 @@ function WorkbenchPage({
       .get()
       .then((capabilities) => {
         if (cancelled) return;
-        const nextVideoModels = VIDEO_MODEL_OPTIONS;
+        const nextVideoModels = capabilities.videoModels.length ? capabilities.videoModels : VIDEO_MODEL_OPTIONS;
 
         applyImageModels(capabilities.imageModels);
         setVideoModelOptions(nextVideoModels);
@@ -863,6 +873,9 @@ function WorkbenchPage({
 
       let lastKnownProgress = Math.max(0, Number(task.progress || 0));
       let taskPollFailures = 0;
+      let lastProgressAt = task.startedAt || Date.now();
+      const taskKind = task.mode === "image" ? "image" : "video";
+      const timeoutPolicy = getTaskTimeoutPolicy({ kind: taskKind, model: task.modelLabel, operation: task.operation });
       const abortController = new AbortController();
       taskAbortControllersRef.current.set(task.taskId, abortController);
       if (activeConversationIdRef.current === task.conversationId) {
@@ -909,6 +922,9 @@ function WorkbenchPage({
             const progress = status.status === "completed"
               ? 100
               : Math.min(99, Math.max(10, lastKnownProgress, currentMessageProgress, Math.round(baseProgress)));
+            if (progress > lastKnownProgress || status.status === "completed") {
+              lastProgressAt = Date.now();
+            }
             lastKnownProgress = Math.max(lastKnownProgress, progress);
             const isSuperResolveTask = task.operation === "video-super-resolution";
             const statusLabel =
@@ -933,6 +949,28 @@ function WorkbenchPage({
               setGenerationProgress(progress);
             }
 
+            const localTimeoutReason = status.status !== "completed" && status.status !== "failed" && status.status !== "cancelled"
+              ? isTaskLocallyTimedOut({
+                  startedAt: task.startedAt || Date.now(),
+                  lastProgressAt,
+                  progress,
+                  policy: timeoutPolicy,
+                })
+              : null;
+            if (localTimeoutReason) {
+              await patchConversationMessage(task.conversationId, task.assistantMessageId, {
+                body: buildLocalTimeoutMessage(taskKind),
+                status: "local_timeout",
+                taskLifecycleStatus: "local_timeout",
+                taskRefundStatus: "unknown",
+                taskProgress: progress,
+                taskStatusLabel: "本地等待超时",
+              });
+              removeKeepaliveTask(task.taskId);
+              onRefreshUsage?.();
+              return;
+            }
+
             if (status.status === "completed" && status.resultUrl) {
               const completedPatch: Partial<ChatMessage> = {
                 body: isSuperResolveTask
@@ -1459,9 +1497,22 @@ function WorkbenchPage({
     setReferenceItems(nextItems);
   };
 
-  const handleReferenceUpload = async (event: ChangeEvent<HTMLInputElement>) => {
-    const files = Array.from(event.target.files || []);
-    event.target.value = "";
+  const handleReferenceUploadClick = () => {
+    if (referenceItems.length > 0) {
+      setToolbarMenuId(null);
+      setReferencePreviewOpen((current) => !current);
+      return;
+    }
+    referenceInputRef.current?.click();
+  };
+
+  const handleReferenceAddMore = () => {
+    setToolbarMenuId(null);
+    setReferencePreviewOpen(true);
+    referenceInputRef.current?.click();
+  };
+
+  const processReferenceFiles = async (files: File[]) => {
     if (files.length === 0) return;
 
     const existingFingerprints = new Set(
@@ -1548,20 +1599,46 @@ function WorkbenchPage({
     window.requestAnimationFrame(() => textareaRef.current?.focus());
   };
 
-  const handleReferenceUploadClick = () => {
-    if (referenceItems.length > 0) {
-      setToolbarMenuId(null);
-      setReferencePreviewOpen((current) => !current);
-      return;
-    }
-    referenceInputRef.current?.click();
+  const handleReferenceUpload = async (event: ChangeEvent<HTMLInputElement>) => {
+    const files = Array.from(event.target.files || []);
+    event.target.value = "";
+    await processReferenceFiles(files);
   };
 
-  const handleReferenceAddMore = () => {
-    setToolbarMenuId(null);
-    setReferencePreviewOpen(true);
-    referenceInputRef.current?.click();
-  };
+  const handleComposerDragEnter = useCallback((e: React.DragEvent) => {
+    e.preventDefault();
+    e.stopPropagation();
+    composerDragCounterRef.current += 1;
+    if (composerDragCounterRef.current === 1) {
+      setIsComposerDragging(true);
+    }
+  }, []);
+
+  const handleComposerDragLeave = useCallback((e: React.DragEvent) => {
+    e.preventDefault();
+    e.stopPropagation();
+    composerDragCounterRef.current -= 1;
+    if (composerDragCounterRef.current <= 0) {
+      composerDragCounterRef.current = 0;
+      setIsComposerDragging(false);
+    }
+  }, []);
+
+  const handleComposerDragOver = useCallback((e: React.DragEvent) => {
+    e.preventDefault();
+    e.stopPropagation();
+  }, []);
+
+  const handleComposerDrop = useCallback((e: React.DragEvent) => {
+    e.preventDefault();
+    e.stopPropagation();
+    composerDragCounterRef.current = 0;
+    setIsComposerDragging(false);
+    const files = Array.from(e.dataTransfer.files);
+    if (files.length > 0) {
+      void processReferenceFiles(files);
+    }
+  }, [activeMode]);
 
   const insertPromptMention = (token: string) => {
     const rawBefore = inputValue.slice(0, cursorIndex);
@@ -1941,6 +2018,7 @@ function WorkbenchPage({
         runKeepalivePoll(keepaliveTask);
       } else {
         let streamedText = "";
+        let chatUsage: ChatMessage["taskUsage"] | undefined;
         setGenerationProgress(36);
         setGenerationStatus("正在回复");
         updateAssistantMessage(assistantMessageId, {
@@ -1973,6 +2051,9 @@ function WorkbenchPage({
             });
           },
           abortController.signal,
+          (usage) => {
+            chatUsage = usage;
+          },
         );
 
         if (abortController.signal.aborted) return;
@@ -1981,6 +2062,7 @@ function WorkbenchPage({
         const completedMessages = updateAssistantMessage(assistantMessageId, {
           body: streamedText.trim() || "收到。你可以继续补充目标，我会顺着当前上下文往下拆。",
           status: "completed",
+          taskUsage: chatUsage,
         });
         if (!conversationId) {
           const conv = await conversationClient.create(
@@ -2108,6 +2190,38 @@ function WorkbenchPage({
     }
   };
 
+  const handleReleaseStuckTask = (message: ChatMessage) => {
+    if (message.taskId) {
+      taskAbortControllersRef.current.get(message.taskId)?.abort();
+      taskAbortControllersRef.current.delete(message.taskId);
+      removeKeepaliveTask(message.taskId);
+    }
+    if (message.conversationId) {
+      void patchConversationMessage(message.conversationId, message.id, {
+        body: buildLocalTimeoutMessage(message.mode === "image" ? "image" : "video"),
+        status: "local_timeout",
+        taskLifecycleStatus: "local_timeout",
+        taskRefundStatus: message.taskRefundStatus || "unknown",
+        taskStatusLabel: "本地占用已释放",
+      });
+    }
+    setMessages((current) =>
+      current.map((item) =>
+        item.id === message.id
+          ? {
+              ...item,
+              body: buildLocalTimeoutMessage(item.mode === "image" ? "image" : "video"),
+              status: "local_timeout",
+              taskLifecycleStatus: "local_timeout",
+              taskRefundStatus: item.taskRefundStatus || "unknown",
+              taskStatusLabel: "本地占用已释放",
+            }
+          : item,
+      ),
+    );
+    syncActiveGenerationUi();
+  };
+
   const handleSuperResolveVideo = async (message: ChatMessage) => {
     if (!message.resultUrl || message.resultType !== "video") {
       setProjectError("仅支持对视频结果进行超分");
@@ -2561,6 +2675,11 @@ function WorkbenchPage({
               >
                 <ReferencePreview item={item} label={getReferenceKindLabel(item.kind)} />
               </button>
+              {(item.kind === "image" || item.kind === "video") && item.previewUrl ? (
+                <span className="wb-composer__ref-zoom" aria-hidden="true">
+                  {item.kind === "video" ? <video src={item.previewUrl} muted playsInline /> : <img src={item.previewUrl} alt="" />}
+                </span>
+              ) : null}
               <button
                 type="button"
                 className="wb-composer__ref-remove"
@@ -2612,7 +2731,7 @@ function WorkbenchPage({
               isOpen={toolbarMenuId === "image-model"}
               onToggle={() => toggleToolbarMenu("image-model")}
               onClose={closeToolbarMenus}
-              onChange={setImageModel}
+              onChange={(v) => { setImageModel(v); if (!GRID_SUPPORTED_MODELS.has(v)) setImageGridMode("single"); }}
               direction={dropdownDirection}
             />
             <CompoundSelectChip
@@ -2624,6 +2743,7 @@ function WorkbenchPage({
               onToggle={() => toggleToolbarMenu("image-settings")}
               direction={dropdownDirection}
             />
+            {GRID_SUPPORTED_MODELS.has(imageModel) && (
             <SelectChip
               chipId="image-grid-mode"
               value={imageGridMode}
@@ -2635,6 +2755,7 @@ function WorkbenchPage({
               onChange={setImageGridMode}
               direction={dropdownDirection}
             />
+            )}
           </>
         )}
         {activeMode === "video" && (
@@ -2818,7 +2939,14 @@ function WorkbenchPage({
             <h1 className="wb-home__title">今天想生成什么？</h1>
           </div>
 
-          <div className="wb-home__composer" ref={toolbarRef}>
+          <div
+            className={`wb-home__composer${isComposerDragging ? " wb-composer--drag-active" : ""}`}
+            ref={toolbarRef}
+            onDragEnter={handleComposerDragEnter}
+            onDragLeave={handleComposerDragLeave}
+            onDragOver={handleComposerDragOver}
+            onDrop={handleComposerDrop}
+          >
             <div className="wb-composer__content">
               <div className="wb-composer__input-row">
                 {renderComposerReferences(false)}
@@ -2954,7 +3082,7 @@ function WorkbenchPage({
                                   ))}
                                 </div>
                               )}
-                              {message.status === "failed" && message.role === "assistant" && (message.mode === "image" || message.mode === "video") && (
+                              {(message.status === "failed" || message.status === "local_timeout") && message.role === "assistant" && (message.mode === "image" || message.mode === "video") && (
                                 <div className="ai-chat-failed-actions">
                                   <button type="button" className="ai-chat-failed-actions__retry" onClick={() => handleRegenerate(message)}>
                                     <ReloadOutlined /> 重试
@@ -2962,9 +3090,12 @@ function WorkbenchPage({
                                   <button type="button" className="ai-chat-failed-actions__switch" onClick={() => { setToolbarMenuId(message.mode === "video" ? "video-model" : "image-model"); scrollMessagesSurface("bottom"); }}>
                                     <AppstoreOutlined /> 切换模型
                                   </button>
+                                  <button type="button" className="ai-chat-failed-actions__release" onClick={() => handleReleaseStuckTask(message)}>
+                                    <StopOutlined /> 释放卡住任务
+                                  </button>
                                 </div>
                               )}
-                              {message.status === "thinking" && !message.resultUrl && (message.mode === "image" || message.mode === "video") && (
+                              {(message.status === "thinking" || message.status === "stopping") && !message.resultUrl && (message.mode === "image" || message.mode === "video") && (
                                 <GenerationPendingCard message={message} onStop={() => handleStopSingleTask(message.id)} />
                               )}
                               {message.status === "thinking" && message.mode === "chat" && (
@@ -2972,6 +3103,11 @@ function WorkbenchPage({
                                   <span>{message.taskStatusLabel || generationStatus}</span>
                                 </div>
                               )}
+                              {message.role === "assistant" && message.mode === "chat" && message.status === "completed" && (
+                                <div className="ai-chat-task-billing-note">
+                                  {formatTextTokenUsage(message.taskUsage)}
+                                </div>
+                              )}
                               {(message.resultUrl || (message.result && message.status !== "thinking")) && (
                                 <ResultCard
                                   message={message}
@@ -2993,7 +3129,14 @@ function WorkbenchPage({
                 </div>
               </section>
 
-            <section className={`wb-composer${composerHidden ? " is-hidden" : ""}`} ref={toolbarRef}>
+            <section
+              className={`wb-composer${composerHidden ? " is-hidden" : ""}${isComposerDragging ? " wb-composer--drag-active" : ""}`}
+              ref={toolbarRef}
+              onDragEnter={handleComposerDragEnter}
+              onDragLeave={handleComposerDragLeave}
+              onDragOver={handleComposerDragOver}
+              onDrop={handleComposerDrop}
+            >
               <div className="wb-composer__content">
                 <div className="wb-composer__input-row">
                   {renderComposerReferences(false)}

src/features/workbench/toolKeepalive.ts

@@ -3,6 +3,8 @@
  * Persists task state to localStorage so in-progress tasks survive page switches.
  */
 
+import { waitForTask } from "../../api/taskSubscription";
+
 const KEEPALIVE_PREFIX = "omniai:tool-task:";
 
 interface ToolTaskKeepalive {
@@ -59,38 +61,19 @@ export function clearToolTaskState(key: string): void {
   try { window.localStorage.removeItem(KEEPALIVE_PREFIX + key); } catch { /* ignore */ }
 }
 
-const TASK_POLL_INTERVAL = 3000;
-const TASK_POLL_TIMEOUT = 30 * 60 * 1000;
-
 export async function pollTaskUntilDone(
   taskId: string,
   onProgress?: (progress: number) => void,
   abortRef?: { current: boolean },
+  kind: "image" | "video" = "video",
 ): Promise<string | null> {
-  const startTime = Date.now();
-  const { aiGenerationClient } = await import("../../api/aiGenerationClient");
-
-  while (true) {
-    if (abortRef?.current) return null;
-    if (Date.now() - startTime > TASK_POLL_TIMEOUT) return null;
-
   try {
-      const task = await aiGenerationClient.getTaskStatus(taskId);
-      if (!task) return null;
-
-      const progress = Math.min(99, task.progress || 0);
-      onProgress?.(progress);
-
-      if (task.status === "completed") {
-        return task.resultUrl || null;
-      }
-      if (task.status === "failed" || task.status === "cancelled") {
+    return await waitForTask(taskId, {
+      kind,
+      abortRef,
+      onProgress: (event) => onProgress?.(Math.min(99, Number(event.progress || 0))),
+    });
+  } catch {
     return null;
   }
-    } catch {
-      // retry on next poll
-    }
-
-    await new Promise((r) => setTimeout(r, TASK_POLL_INTERVAL));
-  }
 }

src/features/workbench/workbenchChatTypes.ts

@@ -1,3 +1,5 @@
+import type { GenerationLifecycleStatus, TaskRefundStatus, TextTokenUsage } from "../../utils/taskLifecycle";
+
 export type WorkbenchMode = "chat" | "image" | "video";
 
 export interface WorkbenchChatAttachment {
@@ -16,7 +18,10 @@ export interface WorkbenchChatMessage {
   body: string;
   prompt?: string;
   createdAt: string;
-  status?: "thinking" | "queued" | "completed" | "failed";
+  status?: "thinking" | "queued" | "completed" | "failed" | "stopping" | "local_timeout";
+  taskLifecycleStatus?: GenerationLifecycleStatus;
+  taskRefundStatus?: TaskRefundStatus;
+  taskUsage?: TextTokenUsage;
   taskId?: string;
   conversationId?: number;
   taskProgress?: number;

src/features/workbench/workbenchConstants.ts

@@ -1,6 +1,7 @@
 import { isServerRequestError } from "../../api/serverConnection";
 import { ENTERPRISE_VIDEO_MODEL_OPTIONS } from "../../utils/enterpriseVideoPolicy";
 import type { WebGenerationPreviewTask } from "../../types";
+import type { GenerationLifecycleStatus, TaskRefundStatus, TextTokenUsage } from "../../utils/taskLifecycle";
 import type { ReactNode } from "react";
 
 export type WorkbenchMode = "chat" | "image" | "video";
@@ -71,7 +72,10 @@ export interface ChatMessage {
   body: string;
   prompt?: string;
   createdAt: string;
-  status?: "thinking" | "queued" | "completed" | "failed";
+  status?: "thinking" | "queued" | "completed" | "failed" | "stopping" | "local_timeout";
+  taskLifecycleStatus?: GenerationLifecycleStatus;
+  taskRefundStatus?: TaskRefundStatus;
+  taskUsage?: TextTokenUsage;
   taskId?: string;
   conversationId?: number;
   taskProgress?: number;
@@ -232,6 +236,13 @@ export const GRID_MODE_OPTIONS: WorkbenchOption[] = [
   { value: "grid-25", label: "25 宫格" },
 ];
 
+export const GRID_SUPPORTED_MODELS = new Set([
+  "wan2.7-image-pro",
+  "wan2.7-image",
+  "gpt-image-2",
+  "gpt-image-2-vip",
+]);
+
 export const VIDEO_FRAME_OPTIONS: WorkbenchOption[] = [
   { value: "omni", label: "全能参考" },
   { value: "start-end", label: "首尾帧" },
@@ -366,11 +377,16 @@ export function shouldPersistPatch(patch: Partial<ChatMessage>): boolean {
   return (
     patch.status === "completed" ||
     patch.status === "failed" ||
+    patch.status === "local_timeout" ||
+    patch.status === "stopping" ||
     typeof patch.taskId === "string" ||
     typeof patch.resultUrl === "string" ||
     typeof patch.resultOssKey === "string" ||
     typeof patch.resultOriginalUrl === "string" ||
-    typeof patch.resultMimeType === "string"
+    typeof patch.resultMimeType === "string" ||
+    typeof patch.taskRefundStatus === "string" ||
+    typeof patch.taskLifecycleStatus === "string" ||
+    typeof patch.taskUsage === "object"
   );
 }
 

src/hooks/useGenerationTasks.ts

@@ -1,4 +1,5 @@
 import { useEffect, useMemo, useRef, useCallback } from "react";
+import { useShallow } from "zustand/react/shallow";
 import type { GenerationQueueItem } from "../stores/useGenerationStore";
 import { useGenerationStore } from "../stores/useGenerationStore";
 import {
@@ -13,7 +14,17 @@ interface UseGenerationTasksOptions {
 
 export function useGenerationTasks(options: UseGenerationTasksOptions) {
   const { sourceView, autoResume = true } = options;
-  const store = useGenerationStore();
+  const {
+    queue,
+    addTask,
+    updateTask: updateStoredTask,
+    getRunningTasks,
+  } = useGenerationStore(useShallow((s) => ({
+    queue: s.queue,
+    addTask: s.addTask,
+    updateTask: s.updateTask,
+    getRunningTasks: s.getRunningTasks,
+  })));
   const pollingStartedRef = useRef(false);
 
   // ── Auto-resume: re-subscribe to running tasks on mount ────
@@ -21,7 +32,7 @@ export function useGenerationTasks(options: UseGenerationTasksOptions) {
     if (!autoResume || pollingStartedRef.current) return;
     pollingStartedRef.current = true;
 
-    const active = store.getRunningTasks().filter((t) => t.sourceView === sourceView);
+    const active = getRunningTasks().filter((t) => t.sourceView === sourceView);
     if (active.length > 0) {
       startBackgroundPolling();
     }
@@ -29,19 +40,19 @@ export function useGenerationTasks(options: UseGenerationTasksOptions) {
     return () => {
       pollingStartedRef.current = false;
     };
-  }, [autoResume, sourceView, store]);
+  }, [autoResume, sourceView, getRunningTasks]);
 
   // ── Subscribe to live updates ───────────────────────────
   useEffect(() => {
     return subscribeToTaskUpdates((updated) => {
-      store.updateTask(updated.id, updated);
+      updateStoredTask(updated.id, updated);
     });
-  }, [store]);
+  }, [updateStoredTask]);
 
   // ── View-scoped computed lists ──────────────────────────
   const myTasks = useMemo(
-    () => store.queue.filter((t) => t.sourceView === sourceView),
-    [store.queue, sourceView],
+    () => queue.filter((t) => t.sourceView === sourceView),
+    [queue, sourceView],
   );
 
   const activeTasks = useMemo(
@@ -63,41 +74,41 @@ export function useGenerationTasks(options: UseGenerationTasksOptions) {
   const submitTask = useCallback(
     (task: Omit<GenerationQueueItem, "id" | "createdAt">) => {
       const id = `gen-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
-      store.addTask({ ...task, id, createdAt: Date.now() });
+      addTask({ ...task, id, createdAt: Date.now() });
       return id;
     },
-    [store],
+    [addTask],
   );
 
   const updateTask = useCallback(
     (id: string, patch: Partial<GenerationQueueItem>) => {
-      store.updateTask(id, patch);
+      updateStoredTask(id, patch);
     },
-    [store],
+    [updateStoredTask],
   );
 
   const markCompleted = useCallback(
     (id: string, resultUrl: string) => {
-      store.updateTask(id, { status: "completed", progress: 100, resultUrl });
+      updateStoredTask(id, { status: "completed", progress: 100, resultUrl });
     },
-    [store],
+    [updateStoredTask],
   );
 
   const markFailed = useCallback(
     (id: string, error: string) => {
-      store.updateTask(id, { status: "failed", error });
+      updateStoredTask(id, { status: "failed", error });
     },
-    [store],
+    [updateStoredTask],
   );
 
   const retryTask = useCallback(
     (id: string) => {
-      const task = store.queue.find((t) => t.id === id);
+      const task = queue.find((t) => t.id === id);
       if (task) {
-        store.updateTask(id, { status: "pending", progress: 0, error: null });
+        updateStoredTask(id, { status: "pending", progress: 0, error: null });
       }
     },
-    [store],
+    [queue, updateStoredTask],
   );
 
   return {

src/main.tsx

@@ -1,6 +1,5 @@
 import React from "react";
 import ReactDOM from "react-dom/client";
-import "@xyflow/react/dist/style.css";
 import "./styles/index.css";
 import App from "./App";
 import { reportError } from "./utils/errorReporting";

src/services/backgroundTaskRunner.ts

@@ -1,14 +1,12 @@
 import { useGenerationStore, type GenerationQueueItem } from "../stores/useGenerationStore";
-import { aiGenerationClient } from "../api/aiGenerationClient";
+import { waitForTask, type TaskProgressEvent } from "../api/taskSubscription";
+import { buildTaskFailureInfo } from "../utils/taskLifecycle";
 
 type PollCallback = (item: GenerationQueueItem) => void;
 
-const activePollers = new Map<string, ReturnType<typeof setInterval>>();
+const activePollers = new Map<string, { current: boolean }>();
 const pollCallbacks = new Set<PollCallback>();
 
-const POLL_INTERVAL = 3000;
-const MAX_POLL_ATTEMPTS = 200; // 10 minutes max per task
-
 export function subscribeToTaskUpdates(callback: PollCallback): () => void {
   pollCallbacks.add(callback);
   return () => { pollCallbacks.delete(callback); };
@@ -18,111 +16,136 @@ function notifyCallbacks(item: GenerationQueueItem): void {
   pollCallbacks.forEach((cb) => cb(item));
 }
 
-function pollTask(item: GenerationQueueItem, attemptsRef: { current: number }): void {
-  const key = `poll-${item.id}`;
-  if (activePollers.has(key)) return;
-
-  const interval = setInterval(async () => {
-    const current = useGenerationStore.getState().queue.find((i) => i.id === item.id);
-    if (!current || current.status === "completed" || current.status === "failed" || current.status === "cancelled") {
-      cleanupPoll(key);
-      return;
-    }
-
-    attemptsRef.current++;
-    if (attemptsRef.current > MAX_POLL_ATTEMPTS) {
-      useGenerationStore.getState().updateTask(item.id, {
-        status: "failed",
-        error: "任务超时，请重新提交",
-      });
-      notifyCallbacks({ ...item, status: "failed", error: "任务超时，请重新提交" });
-      cleanupPoll(key);
-      return;
-    }
-
-    try {
-      const status = await aiGenerationClient.getTaskStatus(current.taskId || item.taskId || "");
-      const patch: Partial<GenerationQueueItem> = {
-        progress: status.progress,
-        resultUrl: status.resultUrl || current.resultUrl,
-        error: status.error || current.error,
-      };
-
-      if (status.status === "completed") {
-        patch.status = "completed";
-        useGenerationStore.getState().updateTask(item.id, patch);
-        notifyCallbacks({ ...item, ...patch, status: "completed" });
-        cleanupPoll(key);
-      } else if (status.status === "failed" || status.status === "cancelled") {
-        patch.status = "failed";
-        useGenerationStore.getState().updateTask(item.id, patch);
-        notifyCallbacks({ ...item, ...patch, status: "failed" });
-        cleanupPoll(key);
-      } else {
-        patch.status = "running";
-        useGenerationStore.getState().updateTask(item.id, patch);
-        notifyCallbacks({ ...item, ...patch, status: "running" });
-      }
-    } catch {
-      // Network error during poll — keep trying
-    }
-  }, POLL_INTERVAL);
-
-  activePollers.set(key, interval);
+function getQueueItemKind(item: GenerationQueueItem): "image" | "video" | "text" {
+  if (item.type === "image") return "image";
+  if (item.type === "video" || item.type === "ecommerce-video") return "video";
+  return "text";
 }
 
-function cleanupPoll(key: string): void {
-  const interval = activePollers.get(key);
-  if (interval) {
-    clearInterval(interval);
-    activePollers.delete(key);
+function getQueueItemModel(item: GenerationQueueItem): string | undefined {
+  return typeof item.params?.model === "string" ? item.params.model : undefined;
+}
+
+function updateTaskAndNotify(id: string, patch: Partial<GenerationQueueItem>): GenerationQueueItem | null {
+  const current = useGenerationStore.getState().queue.find((i) => i.id === id);
+  if (!current) return null;
+  const next = { ...current, ...patch };
+  useGenerationStore.getState().updateTask(id, patch);
+  notifyCallbacks(next);
+  return next;
+}
+
+function isTerminalStatus(status: GenerationQueueItem["status"]): boolean {
+  return status === "completed" || status === "failed" || status === "cancelled";
+}
+
+function pollTask(item: GenerationQueueItem): void {
+  const key = `poll-${item.id}`;
+  if (activePollers.has(key) || !item.taskId) return;
+
+  const kind = getQueueItemKind(item);
+  const abortRef = { current: false };
+  activePollers.set(key, abortRef);
+
+  const applyProgress = (event: TaskProgressEvent) => {
+    const current = useGenerationStore.getState().queue.find((i) => i.id === item.id);
+    if (!current || isTerminalStatus(current.status)) {
+      abortRef.current = true;
+      return;
     }
+
+    const patch: Partial<GenerationQueueItem> = {
+      progress: Number(event.progress || 0),
+      resultUrl: event.resultUrl || current.resultUrl,
+      error: event.error || current.error,
+    };
+
+    if (event.status === "completed") {
+      patch.status = "completed";
+      patch.progress = 100;
+    } else if (event.status === "failed" || event.status === "cancelled") {
+      patch.status = "failed";
+      patch.error = buildTaskFailureInfo(event.error).message;
+    } else {
+      patch.status = "running";
+    }
+
+    updateTaskAndNotify(item.id, patch);
+  };
+
+  void waitForTask(item.taskId, {
+    kind,
+    model: getQueueItemModel(item),
+    startedAt: item.createdAt || Date.now(),
+    abortRef,
+    onProgress: applyProgress,
+  })
+    .then((resultUrl) => {
+      if (abortRef.current) return;
+      const current = useGenerationStore.getState().queue.find((i) => i.id === item.id);
+      if (!current || isTerminalStatus(current.status)) return;
+      updateTaskAndNotify(item.id, {
+        status: "completed",
+        progress: 100,
+        resultUrl: resultUrl || current.resultUrl,
+      });
+    })
+    .catch((error) => {
+      if (abortRef.current) return;
+      const failure = buildTaskFailureInfo(error instanceof Error ? error.message : String(error));
+      updateTaskAndNotify(item.id, {
+        status: "failed",
+        error: failure.message,
+      });
+    })
+    .finally(() => {
+      cleanupPoll(key, abortRef);
+    });
+}
+
+function cleanupPoll(key: string, abortRef: { current: boolean }): void {
+  if (activePollers.get(key) !== abortRef) return;
+  activePollers.delete(key);
 }
 
 export function startBackgroundPolling(): void {
   const tasks = useGenerationStore.getState().getRunningTasks();
-  const attemptsMap = new Map<string, { current: number }>();
 
   tasks.forEach((task) => {
     if (task.taskId) {
-      if (!attemptsMap.has(task.id)) {
-        attemptsMap.set(task.id, { current: 0 });
-      }
-      pollTask(task, attemptsMap.get(task.id)!);
+      pollTask(task);
     }
   });
 }
 
 export function resumeTaskPolling(taskId: string, storeId: string): void {
   const task = useGenerationStore.getState().queue.find((i) => i.id === storeId);
-  if (task && task.status !== "completed" && task.status !== "failed") {
-    pollTask(task, { current: 0 });
+  if (task && !isTerminalStatus(task.status)) {
+    pollTask({ ...task, taskId });
   }
 }
 
 export function stopAllPolling(): void {
-  activePollers.forEach((interval) => clearInterval(interval));
+  activePollers.forEach((abortRef) => {
+    abortRef.current = true;
+  });
   activePollers.clear();
 }
 
-// ── Recovery on page load ──────────────────────────
 export function recoverAndResumeTasks(): void {
   const pendingTasks = useGenerationStore.getState().getRunningTasks();
   if (!pendingTasks.length) return;
 
   pendingTasks.forEach((task) => {
     if (task.taskId) {
-      // Mark as pending so the workbench/ecommerce can re-submit to polling
       useGenerationStore.getState().updateTask(task.id, { status: "pending" });
     } else {
-      // No taskId means it was queued but never submitted — mark failed
       useGenerationStore.getState().updateTask(task.id, {
         status: "failed",
-        error: "页面刷新后任务丢失，请重新提交",
+        error: "页面刷新后任务没有服务端 ID，已释放本地占用，请重新提交。",
       });
     }
   });
 
-  // Start polling recovered tasks
   setTimeout(() => startBackgroundPolling(), 500);
 }

src/styles/index.css

@@ -9,27 +9,9 @@
 @import "./pages/script-review-visual.css";
 @import "./pages/script-review-showcase.css";
 @import "./pages/model-generation-showcase.css";
-@import "./pages/workbench.css";
-@import "./pages/ecommerce.css";
-@import "./pages/ecommerce-video.css";
-@import "./pages/community.css";
-@import "./pages/assets.css";
-@import "./pages/more.css";
-@import "./pages/avatar-console.css";
 @import "./pages/more-tools.css";
 @import "./pages/studio-layout.css";
-@import "./pages/image-workbench.css";
-@import "./pages/subtitle-removal.css";
 @import "./pages/size-template.css";
-@import "./pages/script-tokens-v5.css";
-@import "./pages/script-tokens.css";
-@import "./pages/profile.css";
-@import "./pages/canvas.css";
-@import "./pages/agent.css";
-@import "./pages/compliance.css";
-@import "./pages/provider-health.css";
-@import "./pages/legacy-pages.css";
-@import "./pages/not-found.css";
 @import "./components/recharge-modal.css";
 @import "./components/dropzone.css";
 @import "./components/skeleton.css";

src/styles/pages/canvas.css

@@ -722,3 +722,191 @@
   right: -9999px;
   height: 1px;
 }
+
+/* Tool Modal Overlay */
+.studio-canvas-tool-modal-overlay {
+  position: fixed;
+  inset: 0;
+  z-index: 9000;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  background: rgba(0, 0, 0, 0.55);
+  backdrop-filter: blur(4px);
+}
+
+.studio-canvas-tool-modal {
+  position: relative;
+  width: 90vw;
+  max-width: 720px;
+  max-height: 80vh;
+  overflow-y: auto;
+  border-radius: 16px;
+  background: var(--bg-panel);
+  border: 1px solid var(--border-subtle);
+  box-shadow: var(--shadow-heavy, 0 12px 40px rgba(0,0,0,0.4));
+  padding: 24px;
+}
+
+.studio-canvas-tool-modal__header {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  margin-bottom: 16px;
+}
+
+.studio-canvas-tool-modal__title {
+  font-size: 16px;
+  font-weight: 600;
+  color: var(--fg-default);
+}
+
+.studio-canvas-tool-modal__close {
+  width: 32px;
+  height: 32px;
+  border-radius: 8px;
+  border: none;
+  background: var(--bg-subtle);
+  color: var(--fg-muted);
+  cursor: pointer;
+  font-size: 18px;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  transition: background 0.15s;
+}
+
+.studio-canvas-tool-modal__close:hover {
+  background: var(--bg-hover);
+}
+
+/* Tool Panel Components */
+.studio-canvas-tool-panel {
+  display: flex;
+  gap: 20px;
+  min-height: 280px;
+}
+
+.studio-canvas-tool-panel--inpaint {
+  flex-direction: column;
+}
+
+.studio-canvas-tool-panel__preview {
+  flex: 0 0 260px;
+  border-radius: 10px;
+  overflow: hidden;
+  background: var(--bg-subtle);
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
+
+.studio-canvas-tool-panel__preview img {
+  width: 100%;
+  height: 100%;
+  object-fit: contain;
+}
+
+.studio-canvas-tool-panel__controls {
+  flex: 1;
+  display: flex;
+  flex-direction: column;
+  gap: 12px;
+}
+
+.studio-canvas-tool-panel__label {
+  font-size: 13px;
+  font-weight: 500;
+  color: var(--fg-muted);
+}
+
+.studio-canvas-tool-panel__options {
+  display: flex;
+  gap: 8px;
+}
+
+.studio-canvas-tool-panel__options button {
+  padding: 6px 16px;
+  border-radius: 8px;
+  border: 1px solid var(--border-subtle);
+  background: var(--bg-subtle);
+  color: var(--fg-default);
+  cursor: pointer;
+  font-size: 13px;
+  transition: all 0.15s;
+}
+
+.studio-canvas-tool-panel__options button.is-active {
+  background: var(--accent);
+  border-color: var(--accent);
+  color: #fff;
+}
+
+.studio-canvas-tool-panel__textarea {
+  width: 100%;
+  min-height: 60px;
+  padding: 10px;
+  border-radius: 8px;
+  border: 1px solid var(--border-subtle);
+  background: var(--bg-subtle);
+  color: var(--fg-default);
+  font-size: 13px;
+  resize: vertical;
+}
+
+.studio-canvas-tool-panel__submit {
+  margin-top: auto;
+  padding: 10px 20px;
+  border-radius: 8px;
+  border: none;
+  background: var(--accent);
+  color: #fff;
+  font-size: 14px;
+  font-weight: 500;
+  cursor: pointer;
+  transition: opacity 0.15s;
+}
+
+.studio-canvas-tool-panel__submit:disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+}
+
+.studio-canvas-tool-panel__actions {
+  display: flex;
+  gap: 10px;
+  margin-top: auto;
+}
+
+.studio-canvas-tool-panel__reset {
+  padding: 10px 16px;
+  border-radius: 8px;
+  border: 1px solid var(--border-subtle);
+  background: var(--bg-subtle);
+  color: var(--fg-default);
+  font-size: 13px;
+  cursor: pointer;
+}
+
+.studio-canvas-tool-panel__canvas-wrap {
+  position: relative;
+  width: 100%;
+  max-height: 320px;
+  border-radius: 10px;
+  overflow: hidden;
+  background: var(--bg-subtle);
+}
+
+.studio-canvas-tool-panel__canvas-bg {
+  width: 100%;
+  height: auto;
+  display: block;
+}
+
+.studio-canvas-tool-panel__canvas {
+  position: absolute;
+  inset: 0;
+  width: 100%;
+  height: 100%;
+  cursor: crosshair;
+}

src/styles/pages/dialog-generator.css

@@ -0,0 +1,580 @@
+.dialog-generator-page {
+  min-height: 100%;
+  overflow: auto;
+  background:
+    radial-gradient(ellipse 80% 60% at 50% 40%, rgba(0, 255, 136, 0.04) 0%, transparent 70%),
+    radial-gradient(ellipse 60% 50% at 80% 70%, rgba(42, 159, 212, 0.03) 0%, transparent 60%),
+    linear-gradient(180deg, #070b10 0%, #05080d 100%);
+  color: #e8eaef;
+}
+
+.dialog-generator-shell {
+  display: grid;
+  grid-template-columns: minmax(300px, 0.42fr) minmax(0, 0.58fr);
+  gap: clamp(18px, 2.8vw, 34px);
+  min-height: var(--shell-content-height, 100vh);
+  padding: clamp(24px, 4vw, 52px);
+}
+
+.dialog-generator-panel,
+.dialog-generator-preview-card {
+  border: 1px solid rgba(0, 255, 136, 0.12);
+  border-radius: 8px;
+  background: rgba(255, 255, 255, 0.04);
+  box-shadow:
+    0 24px 72px rgba(0, 0, 0, 0.28),
+    inset 0 1px 0 rgba(255, 255, 255, 0.04);
+  backdrop-filter: blur(18px);
+}
+
+.dialog-generator-panel {
+  display: grid;
+  align-content: start;
+  gap: 24px;
+  padding: clamp(22px, 2.6vw, 34px);
+}
+
+.dialog-generator-heading {
+  display: grid;
+  gap: 12px;
+}
+
+.dialog-generator-kicker {
+  color: #00ff88;
+  font-size: 12px;
+  font-weight: 900;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+}
+
+.dialog-generator-heading h1 {
+  margin: 0;
+  background: linear-gradient(135deg, #00ff88, #22f0c0, #4fc3f7);
+  -webkit-background-clip: text;
+  background-clip: text;
+  color: transparent;
+  font-size: clamp(32px, 3.6vw, 56px);
+  font-weight: 950;
+  letter-spacing: 0;
+  line-height: 1.1;
+}
+
+.dialog-generator-heading p,
+.dialog-generator-hint,
+.dialog-generator-preview-head p {
+  margin: 0;
+  color: #9aa1b8;
+  font-size: 15px;
+  font-weight: 650;
+  line-height: 1.7;
+}
+
+.dialog-generator-section {
+  display: grid;
+  gap: 12px;
+}
+
+.dialog-generator-section h2 {
+  margin: 0;
+  color: #f6f8fb;
+  font-size: 18px;
+  font-weight: 900;
+}
+
+.dialog-generator-drop {
+  display: grid;
+  justify-items: center;
+  gap: 8px;
+  min-height: 168px;
+  border: 1px dashed rgba(0, 255, 136, 0.28);
+  border-radius: 8px;
+  background: rgba(0, 255, 136, 0.035);
+  color: #e8eaef;
+  padding: 24px;
+  cursor: pointer;
+  transition:
+    border-color 180ms ease,
+    background 180ms ease,
+    transform 180ms ease;
+}
+
+.dialog-generator-drop:hover {
+  border-color: rgba(0, 255, 136, 0.5);
+  background: rgba(0, 255, 136, 0.06);
+  transform: translateY(-1px);
+}
+
+.dialog-generator-drop-icon {
+  font-size: 42px;
+}
+
+.dialog-generator-drop strong {
+  font-size: 16px;
+  font-weight: 900;
+}
+
+.dialog-generator-drop small,
+.dialog-generator-style small {
+  color: #62697f;
+  font-size: 13px;
+  font-weight: 700;
+}
+
+.dialog-generator-style-list {
+  display: grid;
+  gap: 10px;
+}
+
+.dialog-generator-color-picker {
+  display: grid;
+  grid-template-columns: repeat(3, minmax(0, 1fr));
+  gap: 8px;
+}
+
+.dialog-generator-color {
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  gap: 8px;
+  min-height: 38px;
+  border: 1px solid rgba(255, 255, 255, 0.1);
+  border-radius: 8px;
+  background: rgba(255, 255, 255, 0.04);
+  color: #dce3ed;
+  cursor: pointer;
+  font-size: 13px;
+  font-weight: 850;
+  transition:
+    border-color 180ms ease,
+    background 180ms ease,
+    transform 180ms ease;
+}
+
+.dialog-generator-color:hover,
+.dialog-generator-color.is-active {
+  border-color: var(--text-color);
+  background: rgba(255, 255, 255, 0.08);
+  transform: translateY(-1px);
+}
+
+.dialog-generator-color span {
+  width: 14px;
+  height: 14px;
+  border: 1px solid rgba(255, 255, 255, 0.38);
+  border-radius: 50%;
+  background: var(--text-color);
+  box-shadow: 0 0 12px color-mix(in srgb, var(--text-color) 42%, transparent);
+}
+
+.dialog-generator-color strong {
+  min-width: 0;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+.dialog-generator-style {
+  display: grid;
+  grid-template-columns: 18px minmax(0, 1fr);
+  align-items: center;
+  gap: 14px;
+  border: 1px solid rgba(0, 255, 136, 0.08);
+  border-radius: 8px;
+  background: rgba(255, 255, 255, 0.04);
+  color: #e8eaef;
+  padding: 15px 18px;
+  text-align: left;
+  cursor: pointer;
+  transition:
+    border-color 180ms ease,
+    background 180ms ease,
+    transform 180ms ease;
+}
+
+.dialog-generator-style:hover {
+  border-color: rgba(0, 255, 136, 0.28);
+  background: rgba(255, 255, 255, 0.06);
+  transform: translateX(3px);
+}
+
+.dialog-generator-style span:last-child {
+  display: grid;
+  gap: 4px;
+  min-width: 0;
+}
+
+.dialog-generator-style strong {
+  color: #f7fafc;
+  font-size: 16px;
+  font-weight: 900;
+}
+
+.dialog-generator-swatch {
+  width: 14px;
+  height: 14px;
+  border-radius: 4px;
+}
+
+.dialog-generator-swatch.is-white {
+  border: 1px solid #cbd5e1;
+  background: #ffffff;
+}
+
+.dialog-generator-swatch.is-blue {
+  background: #165dff;
+}
+
+.dialog-generator-swatch.is-amber {
+  background: #f59e0b;
+}
+
+.dialog-generator-swatch.is-gray {
+  background: #6b7280;
+}
+
+.dialog-generator-clear {
+  min-height: 48px;
+  border: 1px solid rgba(255, 255, 255, 0.1);
+  border-radius: 8px;
+  background: rgba(255, 255, 255, 0.08);
+  color: #e8eaef;
+  cursor: pointer;
+  font-size: 15px;
+  font-weight: 900;
+  transition:
+    border-color 180ms ease,
+    background 180ms ease;
+}
+
+.dialog-generator-clear:hover {
+  border-color: rgba(255, 77, 103, 0.32);
+  background: rgba(255, 77, 103, 0.1);
+}
+
+.dialog-generator-preview-card {
+  display: grid;
+  grid-template-rows: auto minmax(0, 1fr);
+  gap: 16px;
+  min-width: 0;
+  min-height: 0;
+  padding: clamp(22px, 2.6vw, 34px);
+}
+
+.dialog-generator-preview-head {
+  display: flex;
+  align-items: end;
+  justify-content: space-between;
+  gap: 20px;
+}
+
+.dialog-generator-preview-head span {
+  color: #00ff88;
+  font-size: 12px;
+  font-weight: 900;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+}
+
+.dialog-generator-preview-head h2 {
+  margin: 4px 0 0;
+  color: #ffffff;
+  font-size: clamp(24px, 2vw, 34px);
+  font-weight: 950;
+}
+
+.dialog-generator-preview-head p {
+  max-width: 440px;
+  text-align: right;
+}
+
+.dialog-generator-preview {
+  position: relative;
+  min-height: 520px;
+  overflow: hidden;
+  border: 1px solid rgba(255, 255, 255, 0.1);
+  border-radius: 8px;
+  background:
+    linear-gradient(90deg, rgba(255, 255, 255, 0.04) 1px, transparent 1px),
+    linear-gradient(180deg, rgba(255, 255, 255, 0.04) 1px, transparent 1px),
+    rgba(5, 8, 13, 0.72);
+  background-size: 32px 32px, 32px 32px, auto;
+  touch-action: none;
+}
+
+.dialog-generator-image {
+  position: absolute;
+  inset: 0;
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: contain;
+}
+
+.dialog-generator-empty {
+  position: absolute;
+  inset: 0;
+  display: grid;
+  place-content: center;
+  gap: 12px;
+  color: #62697f;
+  text-align: center;
+  pointer-events: none;
+}
+
+.dialog-generator-empty span {
+  font-size: 52px;
+}
+
+.dialog-generator-empty p {
+  margin: 0;
+  font-size: 16px;
+  font-weight: 800;
+}
+
+.dialog-generator-bubble {
+  position: absolute;
+  z-index: 10;
+  min-width: 140px;
+  max-width: 280px;
+  border-radius: 12px;
+  padding: 12px 14px;
+  user-select: none;
+  box-shadow: 0 4px 24px rgba(0, 0, 0, 0.12);
+  transition: box-shadow 0.2s;
+}
+
+.dialog-generator-bubble.is-confirmed {
+  min-width: 0;
+  max-width: min(420px, 80%);
+  border: 0;
+  border-radius: 0;
+  background: transparent;
+  padding: 0;
+  box-shadow: none;
+  cursor: move;
+}
+
+.dialog-generator-bubble:hover {
+  box-shadow: 0 6px 32px rgba(0, 0, 0, 0.18);
+}
+
+.dialog-generator-bubble.is-confirmed:hover {
+  box-shadow: none;
+}
+
+.dialog-generator-bubble.is-dragging {
+  z-index: 20;
+  box-shadow: 0 8px 40px rgba(0, 0, 0, 0.22);
+}
+
+.dialog-generator-bubble.is-confirmed.is-dragging {
+  box-shadow: none;
+}
+
+.dialog-generator-bubble.style1 {
+  border: 2px solid #cbd5e1;
+  background: rgba(255, 255, 255, 0.97);
+}
+
+.dialog-generator-bubble.style2 {
+  border: 2px solid #4f8aff;
+  border-radius: 16px 16px 4px 16px;
+  background: rgba(22, 93, 255, 0.95);
+}
+
+.dialog-generator-bubble.style3 {
+  border: 2px solid #f59e0b;
+  background: rgba(255, 247, 237, 0.97);
+}
+
+.dialog-generator-bubble.style4 {
+  border: 2px solid #6b7280;
+  border-radius: 4px;
+  background: rgba(248, 250, 252, 0.97);
+}
+
+.dialog-generator-bubble.is-confirmed.style1,
+.dialog-generator-bubble.is-confirmed.style2,
+.dialog-generator-bubble.is-confirmed.style3,
+.dialog-generator-bubble.is-confirmed.style4 {
+  border: 0;
+  background: transparent;
+}
+
+.dialog-generator-delete {
+  position: absolute;
+  top: -8px;
+  right: -8px;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  width: 20px;
+  height: 20px;
+  border: 2px solid #fff;
+  border-radius: 50%;
+  background: #ef4444;
+  color: #fff;
+  cursor: pointer;
+  font-size: 13px;
+  line-height: 1;
+  opacity: 0;
+  transition: opacity 0.15s;
+  z-index: 5;
+}
+
+.dialog-generator-bubble:hover .dialog-generator-delete {
+  opacity: 1;
+}
+
+.dialog-generator-text,
+.dialog-generator-text-display {
+  width: 100%;
+  border: 0;
+  outline: none;
+  background: transparent;
+  color: var(--dialog-text-color, #1e293b);
+  padding: 0;
+  resize: none;
+  font-family: inherit;
+  font-size: 14px;
+  line-height: 1.6;
+  white-space: pre-wrap;
+}
+
+.dialog-generator-text-display {
+  width: max-content;
+  max-width: min(420px, 80vw);
+  color: var(--dialog-text-color, #ffffff);
+  font-size: clamp(18px, 2.2vw, 30px);
+  font-weight: 900;
+  line-height: 1.35;
+  letter-spacing: 0;
+  overflow-wrap: anywhere;
+  text-shadow:
+    0 2px 8px rgba(0, 0, 0, 0.72),
+    0 0 1px rgba(0, 0, 0, 0.9);
+}
+
+.dialog-generator-text::placeholder {
+  color: rgba(0, 0, 0, 0.3);
+}
+
+.dialog-generator-bubble.style2 .dialog-generator-text,
+.dialog-generator-bubble.style2 .dialog-generator-text-display {
+  color: var(--dialog-text-color, #fff);
+}
+
+.dialog-generator-bubble.is-confirmed.style2 .dialog-generator-text-display {
+  color: var(--dialog-text-color, #7fb4ff);
+}
+
+.dialog-generator-bubble.style2 .dialog-generator-text::placeholder {
+  color: rgba(255, 255, 255, 0.62);
+}
+
+.dialog-generator-bubble.style3 .dialog-generator-text,
+.dialog-generator-bubble.style3 .dialog-generator-text-display {
+  color: var(--dialog-text-color, #92400e);
+}
+
+.dialog-generator-bubble.is-confirmed.style3 .dialog-generator-text-display {
+  color: var(--dialog-text-color, #ffd76a);
+}
+
+.dialog-generator-bubble.style3 .dialog-generator-text::placeholder {
+  color: rgba(146, 64, 14, 0.4);
+}
+
+.dialog-generator-bubble.style4 .dialog-generator-text,
+.dialog-generator-bubble.style4 .dialog-generator-text-display {
+  color: var(--dialog-text-color, #1f2937);
+}
+
+.dialog-generator-bubble.is-confirmed.style4 .dialog-generator-text-display {
+  color: var(--dialog-text-color, #111827);
+  text-shadow:
+    0 1px 0 rgba(255, 255, 255, 0.72),
+    0 0 8px rgba(255, 255, 255, 0.58);
+}
+
+.dialog-generator-bubble-bottom {
+  display: flex;
+  align-items: center;
+  justify-content: flex-end;
+  margin-top: 6px;
+}
+
+.dialog-generator-confirm {
+  display: inline-flex;
+  align-items: center;
+  gap: 4px;
+  border: 0;
+  border-radius: 6px;
+  background: #165dff;
+  color: #fff;
+  cursor: pointer;
+  padding: 4px 12px;
+  font-size: 12px;
+  font-weight: 700;
+  transition:
+    filter 0.15s,
+    transform 0.15s;
+}
+
+.dialog-generator-confirm:hover {
+  filter: brightness(1.1);
+  transform: translateY(-1px);
+}
+
+.dialog-generator-bubble.style2 .dialog-generator-confirm {
+  background: #fff;
+  color: #165dff;
+}
+
+.dialog-generator-bubble.style3 .dialog-generator-confirm {
+  background: #f59e0b;
+}
+
+.dialog-generator-bubble.style4 .dialog-generator-confirm {
+  background: #6b7280;
+}
+
+.dialog-generator-edit-hint {
+  display: none;
+  color: rgba(0, 0, 0, 0.36);
+  font-size: 10px;
+  font-weight: 700;
+}
+
+.dialog-generator-bubble.is-confirmed .dialog-generator-confirm {
+  display: none;
+}
+
+.dialog-generator-bubble.is-confirmed .dialog-generator-edit-hint {
+  display: inline-block;
+}
+
+@media (max-width: 980px) {
+  .dialog-generator-shell {
+    grid-template-columns: 1fr;
+  }
+
+  .dialog-generator-preview-head {
+    align-items: start;
+    flex-direction: column;
+  }
+
+  .dialog-generator-preview-head p {
+    max-width: none;
+    text-align: left;
+  }
+}
+
+@media (max-width: 560px) {
+  .dialog-generator-shell {
+    padding: 18px;
+  }
+
+  .dialog-generator-preview {
+    min-height: 420px;
+  }
+}

src/styles/pages/ecommerce.css

@@ -418,6 +418,15 @@
   cursor: not-allowed;
 }
 
+.product-clone-page[data-tool="set"] .product-set-floating-submit--cancel {
+  background: #303540;
+  color: #eef2f6;
+}
+
+.product-clone-page[data-tool="set"] .product-set-floating-submit--cancel:hover {
+  background: #3a4050;
+}
+
 .product-clone-page[data-tool="set"] .product-clone-help {
   display: none;
 }
@@ -3976,6 +3985,7 @@
 .product-clone-panel__footer {
   display: grid;
   align-items: center;
+  gap: 8px;
   border-top: 1px solid #e5e7eb;
   padding: 12px 16px;
 }
@@ -4000,6 +4010,11 @@
   cursor: not-allowed;
 }
 
+.product-clone-primary--cancel {
+  background: #303540;
+  color: #eef2f6;
+}
+
 .product-clone-preview {
   display: grid;
   align-content: center;
@@ -4930,6 +4945,7 @@
 }
 
 .product-set-main-card {
+  position: relative;
   height: 380px;
   border-radius: 16px;
   transition: transform 250ms ease, box-shadow 250ms ease;
@@ -8759,6 +8775,17 @@
   filter: none;
 }
 
+.product-clone-page[data-tool="clone"] .clone-ai-generate--cancel {
+  border: 1px solid var(--ecm-line);
+  background: var(--ecm-inset);
+  color: var(--ecm-text);
+  box-shadow: none;
+}
+
+.product-clone-page[data-tool="clone"] .clone-ai-generate--cancel:hover:not(:disabled) {
+  background: var(--ecm-inset-hover);
+}
+
 .product-clone-page[data-tool="clone"] .clone-ai-settings-toggle {
   border-color: var(--ecm-line-strong);
   background: rgba(20, 23, 25, 0.86);
@@ -8984,6 +9011,17 @@
   box-shadow: none;
 }
 
+.product-clone-page:is([data-tool="set"], [data-tool="detail"], [data-tool="wear"]) :is(.product-clone-primary--cancel, .product-set-floating-submit--cancel) {
+  border: 1px solid var(--ecm-line);
+  background: var(--ecm-inset);
+  color: var(--ecm-text);
+  box-shadow: none;
+}
+
+.product-clone-page:is([data-tool="set"], [data-tool="detail"], [data-tool="wear"]) :is(.product-clone-primary--cancel, .product-set-floating-submit--cancel):hover {
+  background: var(--ecm-inset-hover);
+}
+
 .product-clone-page:is([data-tool="set"], [data-tool="detail"], [data-tool="wear"]) .product-clone-preview {
   background:
     radial-gradient(circle at 50% 40%, rgba(var(--ecm-accent-rgb), 0.032), transparent 40%),

src/styles/pages/profile.css

@@ -15,3 +15,10 @@
 .profile-page__works-scroll .profile-page__list-grid {
   grid-template-columns: repeat(3, 1fr); /* 固定3列，刚好3×3=9个可见 */
 }
+
+/* Dashboard uses natural page scrolling instead of a nested works scroller. */
+.profile-page--dashboard .profile-page__works-scroll {
+  max-height: none;
+  overflow: visible;
+  scrollbar-width: auto;
+}

src/styles/pages/script-tokens-v5.css

@@ -2802,6 +2802,10 @@
   color: #e9fff5;
   font-size: 14px;
   line-height: 1.25;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  max-width: 8em;
 }
 
 .script-eval-v5-uf-size {
@@ -3230,6 +3234,141 @@
   color: var(--report-green);
 }
 
+.script-eval-report__detail-grid {
+  display: grid;
+  grid-template-columns: repeat(3, minmax(0, 1fr));
+  gap: 14px;
+  margin: 0 18px 18px;
+}
+
+.script-eval-report__detail-card {
+  min-width: 0;
+  border: 1px solid rgb(255 255 255 / 6%);
+  border-radius: var(--v5-radius-md);
+  background: linear-gradient(180deg, rgb(255 255 255 / 3.4%), transparent), var(--report-row);
+  padding: 14px;
+}
+
+.script-eval-report__detail-head {
+  display: flex;
+  align-items: flex-start;
+  justify-content: space-between;
+  gap: 12px;
+}
+
+.script-eval-report__detail-head div {
+  display: grid;
+  gap: 4px;
+  min-width: 0;
+}
+
+.script-eval-report__detail-head span {
+  color: #dfe8e4;
+  font-size: 14px;
+  font-weight: 800;
+}
+
+.script-eval-report__detail-head strong {
+  color: var(--report-green);
+  font-size: 22px;
+  line-height: 1;
+}
+
+.script-eval-report__detail-head small {
+  color: #7e8a86;
+  font-size: 12px;
+}
+
+.script-eval-report__detail-head em {
+  flex-shrink: 0;
+  border: 1px solid rgb(0 255 136 / 18%);
+  border-radius: 999px;
+  background: rgb(0 255 136 / 7%);
+  color: #98e8bd;
+  padding: 4px 8px;
+  font-size: 12px;
+  font-style: normal;
+  font-weight: 800;
+}
+
+.script-eval-report__detail-hint,
+.script-eval-report__detail-empty {
+  margin: 10px 0 0;
+  color: #7f8c88;
+  font-size: 12px;
+  font-weight: 650;
+  line-height: 1.5;
+}
+
+.script-eval-report__subscore-list {
+  display: grid;
+  gap: 9px;
+  margin-top: 13px;
+}
+
+.script-eval-report__subscore-row {
+  display: grid;
+  grid-template-columns: minmax(62px, 86px) minmax(0, 1fr) 34px;
+  align-items: center;
+  gap: 8px;
+  color: #bdcbc6;
+  font-size: 12px;
+  font-weight: 750;
+}
+
+.script-eval-report__subscore-row span {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+.script-eval-report__subscore-row b {
+  color: #dfe8e4;
+  text-align: right;
+}
+
+.script-eval-report__subscore-bar {
+  height: 7px;
+  overflow: hidden;
+  border-radius: 999px;
+  background: rgb(255 255 255 / 5%);
+}
+
+.script-eval-report__subscore-bar i {
+  display: block;
+  height: 100%;
+  border-radius: inherit;
+  background: linear-gradient(90deg, #18de8a, #a3f7c1);
+}
+
+.script-eval-report__evidence-list {
+  display: grid;
+  gap: 7px;
+  margin: 13px 0 0;
+  padding: 0;
+  list-style: none;
+}
+
+.script-eval-report__evidence-list li {
+  position: relative;
+  padding-left: 13px;
+  color: #aebcb7;
+  font-size: 12px;
+  font-weight: 650;
+  line-height: 1.55;
+}
+
+.script-eval-report__evidence-list li::before {
+  content: "";
+  position: absolute;
+  left: 0;
+  top: 0.62em;
+  width: 5px;
+  height: 5px;
+  border-radius: 50%;
+  background: var(--report-green);
+}
+
 .script-eval-report__findings {
   gap: 18px;
 }
@@ -3278,6 +3417,10 @@
   .script-eval-report--inside .script-eval-report__body {
     padding-inline: 24px;
   }
+
+  .script-eval-report__detail-grid {
+    grid-template-columns: repeat(2, minmax(0, 1fr));
+  }
 }
 
 @media (max-width: 900px) {
@@ -3297,6 +3440,19 @@
 }
 
 @media (max-width: 680px) {
+  .script-eval-report__detail-grid {
+    grid-template-columns: 1fr;
+    margin-inline: 0;
+  }
+
+  .script-eval-report__detail-card {
+    padding: 12px;
+  }
+
+  .script-eval-report__subscore-row {
+    grid-template-columns: minmax(58px, 78px) minmax(0, 1fr) 30px;
+  }
+
   .script-eval-v5 {
     overflow: hidden;
   }

src/styles/pages/toolbox.css

@@ -202,9 +202,9 @@
   flex: 1;
   display: grid;
   grid-template-columns: 1fr 1fr;
-  grid-template-rows: 1fr 1fr;
+  grid-template-rows: repeat(2, minmax(0, 1fr));
   gap: 16px;
-  min-height: clamp(360px, 40vw, 520px);
+  min-height: clamp(560px, 52vw, 760px);
 }
 
 /* ===== Tool Cards ===== */

src/styles/pages/workbench.css

@@ -9,10 +9,10 @@
 
 .wb-prompt-cases__grid {
   display: grid;
-  grid-template-columns: repeat(auto-fill, minmax(220px, 1fr));
+  grid-template-columns: repeat(auto-fill, minmax(280px, 1fr));
   grid-auto-flow: dense;
   grid-auto-rows: 10px;
-  gap: 10px;
+  gap: 8px;
 }
 
 .wb-prompt-case-card {
@@ -34,22 +34,22 @@
 
 .wb-prompt-case-card--ratio-wide {
   grid-column: span 1;
-  grid-row: span 8;
+  grid-row: span 13;
 }
 
 .wb-prompt-case-card--ratio-tall {
   grid-column: span 1;
-  grid-row: span 23;
+  grid-row: span 30;
 }
 
 .wb-prompt-case-card--ratio-square {
   grid-column: span 1;
-  grid-row: span 13;
+  grid-row: span 18;
 }
 
 .wb-prompt-case-card--ratio-portrait {
   grid-column: span 1;
-  grid-row: span 16;
+  grid-row: span 24;
 }
 
 .wb-prompt-case-card img {
@@ -328,7 +328,7 @@
 
 @media (max-width: 980px) {
   .wb-prompt-cases__grid {
-    grid-template-columns: repeat(auto-fill, minmax(170px, 1fr));
+    grid-template-columns: repeat(auto-fill, minmax(150px, 1fr));
     grid-auto-rows: 8px;
     gap: 8px;
   }
@@ -387,7 +387,7 @@
 
 @media (max-width: 560px) {
   .wb-prompt-cases__grid {
-    grid-template-columns: repeat(auto-fill, minmax(150px, 1fr));
+    grid-template-columns: repeat(2, minmax(0, 1fr));
     grid-auto-rows: 8px;
     gap: 8px;
   }

src/types.ts

@@ -22,6 +22,7 @@ export type WebViewKey =
   | "more"
   | "watermarkRemoval"
   | "subtitleRemoval"
+  | "dialogGenerator"
   | "communityReview"
   | "communityCaseAdd"
   | "report"

src/utils/generationNotifier.ts

@@ -3,6 +3,8 @@
  * Falls back gracefully when Notification API is unavailable.
  */
 
+import { toast } from "../components/toast/toastStore";
+
 let permissionGranted = false;
 
 async function requestPermission(): Promise<boolean> {
@@ -35,9 +37,7 @@ export function notifyTaskCompleted(label: string, mode: "image" | "video" = "im
 
 // Use the existing toast system for in-app notifications
 function dispatchGenToast(msg: string) {
-  try {
-    import("../components/toast/toastStore").then((m) => m.toast(msg, "success"));
-  } catch { /* toast system not loaded */ }
+  toast(msg, "success");
 }
 
 /** Call once on app init to pre-warm permission. */

src/utils/taskLifecycle.ts

@@ -0,0 +1,160 @@
+import { classifyTaskError, type TaskErrorCategory } from "./translateTaskError";
+
+export type GenerationLifecycleStatus =
+  | "creating"
+  | "queued"
+  | "running"
+  | "stopping"
+  | "failed"
+  | "completed"
+  | "local_timeout";
+
+export type TaskRefundStatus = "not_charged" | "pending_refund" | "refunded" | "manual_review" | "unknown";
+
+export interface TaskTimeoutPolicy {
+  submitTimeoutMs: number;
+  noProgressTimeoutMs: number;
+  maxRuntimeMs: number;
+}
+
+export interface TaskFailureInfo {
+  category: TaskErrorCategory;
+  message: string;
+  actionLabel: string;
+  retryable: boolean;
+  refundStatus: TaskRefundStatus;
+  refundHint: string;
+}
+
+export interface TextTokenUsage {
+  promptTokens?: number;
+  completionTokens?: number;
+  totalTokens?: number;
+}
+
+export const TEXT_INPUT_CREDITS_PER_MILLION = 2;
+export const TEXT_OUTPUT_CREDITS_PER_MILLION = 5;
+
+const IMAGE_TIMEOUT_POLICY: TaskTimeoutPolicy = {
+  submitTimeoutMs: 90_000,
+  noProgressTimeoutMs: 120_000,
+  maxRuntimeMs: 10 * 60_000,
+};
+
+const VIDEO_TIMEOUT_POLICY: TaskTimeoutPolicy = {
+  submitTimeoutMs: 120_000,
+  noProgressTimeoutMs: 120_000,
+  maxRuntimeMs: 20 * 60_000,
+};
+
+const VIDEO_LONG_TIMEOUT_POLICY: TaskTimeoutPolicy = {
+  submitTimeoutMs: 120_000,
+  noProgressTimeoutMs: 180_000,
+  maxRuntimeMs: 30 * 60_000,
+};
+
+const VIDEO_SUPER_RESOLUTION_TIMEOUT_POLICY: TaskTimeoutPolicy = {
+  submitTimeoutMs: 120_000,
+  noProgressTimeoutMs: 180_000,
+  maxRuntimeMs: 15 * 60_000,
+};
+
+const TEXT_TIMEOUT_POLICY: TaskTimeoutPolicy = {
+  submitTimeoutMs: 30_000,
+  noProgressTimeoutMs: 60_000,
+  maxRuntimeMs: 5 * 60_000,
+};
+
+export function getTaskTimeoutPolicy(input: {
+  kind?: "image" | "video" | "text";
+  model?: string | null;
+  operation?: string | null;
+}): TaskTimeoutPolicy {
+  if (input.operation === "video-super-resolution") return VIDEO_SUPER_RESOLUTION_TIMEOUT_POLICY;
+  if (input.kind === "image") return IMAGE_TIMEOUT_POLICY;
+  if (input.kind === "text") return TEXT_TIMEOUT_POLICY;
+  const model = String(input.model || "").toLowerCase();
+  if (/kling|wan|veo|sora|hailuo|vidu|pixverse|happyhorse/.test(model)) return VIDEO_LONG_TIMEOUT_POLICY;
+  return VIDEO_TIMEOUT_POLICY;
+}
+
+export function isTaskLocallyTimedOut(input: {
+  startedAt: number;
+  lastProgressAt: number;
+  now?: number;
+  policy: TaskTimeoutPolicy;
+  progress?: number;
+}): "no_progress" | "max_runtime" | null {
+  const now = input.now || Date.now();
+  const progress = Number(input.progress || 0);
+  if (now - input.startedAt >= input.policy.maxRuntimeMs) return "max_runtime";
+  if (progress > 0 && progress < 100 && now - input.lastProgressAt >= input.policy.noProgressTimeoutMs) {
+    return "no_progress";
+  }
+  if (progress <= 0 && now - input.startedAt >= input.policy.submitTimeoutMs) return "no_progress";
+  return null;
+}
+
+export function buildLocalTimeoutMessage(kind: "image" | "video" | "text" = "video"): string {
+  if (kind === "text") {
+    return "本地等待已超时，已停止前端动画。若服务端稍后返回，请以会话记录和积分流水为准。";
+  }
+  const label = kind === "image" ? "图片" : "视频";
+  return `${label}任务长时间没有进展，已停止本地等待并释放前端占用。服务端任务仍可能稍后完成，请到任务历史或资产页查看结果；如已扣费，系统会在失败结算后按积分流水退回。`;
+}
+
+export function buildTaskFailureInfo(
+  error: string | undefined | null,
+  options: { refundStatus?: TaskRefundStatus; charged?: boolean; submitted?: boolean } = {},
+): TaskFailureInfo {
+  const classified = classifyTaskError(error);
+  const submitted = options.submitted !== false;
+  const refundStatus: TaskRefundStatus =
+    options.refundStatus ||
+    (submitted
+      ? classified.category === "insufficient_balance" || classified.category === "auth_failure"
+        ? "not_charged"
+        : "unknown"
+      : "not_charged");
+
+  const refundHint = getRefundHint(refundStatus);
+  return {
+    category: classified.category,
+    message: `${classified.message}${refundHint ? `\n\n${refundHint}` : ""}`,
+    actionLabel: classified.action,
+    retryable: !["auth_failure", "insufficient_balance", "content_policy"].includes(classified.category),
+    refundStatus,
+    refundHint,
+  };
+}
+
+export function getRefundHint(status: TaskRefundStatus): string {
+  switch (status) {
+    case "not_charged":
+      return "提交未进入扣费结算，未产生积分消耗。";
+    case "pending_refund":
+      return "任务已失败，若已扣费，系统会自动退回，请以积分流水为准。";
+    case "refunded":
+      return "失败扣费已退回，请在积分流水中核对。";
+    case "manual_review":
+      return "退款状态需要人工核对，请联系管理员并提供任务 ID。";
+    default:
+      return "如已扣费，系统将在任务失败后自动退回；请以积分流水为准。";
+  }
+}
+
+export function estimateTextTokenCredits(usage: TextTokenUsage): number {
+  const promptTokens = Math.max(0, Number(usage.promptTokens || 0));
+  const completionTokens = Math.max(0, Number(usage.completionTokens || 0));
+  return (promptTokens / 1_000_000) * TEXT_INPUT_CREDITS_PER_MILLION +
+    (completionTokens / 1_000_000) * TEXT_OUTPUT_CREDITS_PER_MILLION;
+}
+
+export function formatTextTokenUsage(usage?: TextTokenUsage | null): string {
+  const rule = "文本计费规则：输入 Token 每百万 2 积分，输出 Token 每百万 5 积分，实际以服务端结算为准。";
+  if (!usage) return rule;
+  const promptTokens = Math.max(0, Number(usage.promptTokens || 0));
+  const completionTokens = Math.max(0, Number(usage.completionTokens || 0));
+  const estimatedCredits = estimateTextTokenCredits({ promptTokens, completionTokens });
+  return `本次 Token：输入 ${promptTokens}，输出 ${completionTokens}，预估 ${estimatedCredits.toFixed(4)} 积分。\n${rule}`;
+}