Merge pull request 'Main merge work' (#21 ) from main-merge-work into main

Reviewed-on: #21
Merge origin/main into main-merge-work (resolve EcommercePage/CSS conflicts)
2026-06-16 13:13:50 +00:00 · 2026-06-16 21:13:25 +08:00 · 2026-06-16 21:09:41 +08:00 · 2026-06-16 20:15:53 +08:00 · 2026-06-16 11:16:46 +00:00 · 2026-06-16 19:11:50 +08:00
78 changed files with 28732 additions and 1067 deletions
@@ -0,0 +1,43 @@
+# 自动检测文本文件并统一换行符
+* text=auto eol=lf
+
+# 源码强制使用 LF（跨平台一致）
+*.ts text eol=lf
+*.tsx text eol=lf
+*.js text eol=lf
+*.jsx text eol=lf
+*.mjs text eol=lf
+*.cjs text eol=lf
+*.json text eol=lf
+*.css text eol=lf
+*.html text eol=lf
+*.md text eol=lf
+*.svg text eol=lf
+
+# 配置类（统一 LF）
+*.yml text eol=lf
+*.yaml text eol=lf
+*.toml text eol=lf
+*.conf text eol=lf
+
+# Windows 专用脚本保持 CRLF
+*.bat text eol=crlf
+*.cmd text eol=crlf
+
+# 二进制文件，不做换行符转换
+*.png binary
+*.jpg binary
+*.jpeg binary
+*.gif binary
+*.webp binary
+*.ico binary
+*.woff binary
+*.woff2 binary
+*.ttf binary
+*.eot binary
+*.otf binary
+*.mp4 binary
+*.mp3 binary
+*.pdf binary
+*.zip binary
+*.gz binary
@@ -15,3 +15,4 @@ tmp/
 *.swp
 *.swo
 coverage/
+屏幕截图 *.png
@@ -0,0 +1 @@
+npx lint-staged
@@ -0,0 +1 @@
+npm run css:audit
@@ -1,5 +1,5 @@
 <!doctype html>
-<html lang="zh-CN">
+<html lang="zh-CN" data-theme="dark" data-ui-theme="dark-green" style="color-scheme: dark">
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
@@ -0,0 +1,10 @@
+// lint-staged 配置 —— 配合 husky pre-commit 使用
+//
+// 当前只运行 tsc 全量类型检查（tsc 不接受单文件增量检查），
+// 未来可扩展 ESLint / Prettier / stylelint 等按文件的检查。
+//
+// 函数语法返回原始命令字符串，lint-staged 不会追加文件名。
+
+export default {
+  "*.{ts,tsx}": () => "tsc --noEmit",
+};
@@ -7,20 +7,30 @@
    "dev": "vite --host 127.0.0.1",
    "build": "vite build",
    "preview": "vite preview --host 127.0.0.1",
-    "type-check": "tsc -p tsconfig.json --noEmit"
+    "type-check": "tsc -p tsconfig.json --noEmit",
+    "test": "vitest",
+    "test:run": "vitest run",
+    "test:coverage": "vitest run --coverage",
+    "css:audit": "node scripts/css-audit.mjs",
+    "prepare": "husky"
  },
  "dependencies": {
    "@ant-design/icons": "5.3.0",
    "react": "18.2.0",
    "react-dom": "18.2.0",
+    "scheduler": "0.23.0",
    "zustand": "5.0.13"
  },
  "devDependencies": {
-    "@types/react": "18.2.0",
-    "@types/react-dom": "18.2.0",
+    "@types/react": "18.2.55",
+    "@types/react-dom": "18.2.18",
    "@vitejs/plugin-react": "4.2.1",
+    "@vitest/coverage-v8": "^1.6.0",
+    "husky": "^9.1.7",
+    "lint-staged": "^17.0.7",
    "typescript": "5.3.3",
    "vite": "5.1.0",
-    "vite-plugin-compression2": "2.5.3"
+    "vite-plugin-compression2": "2.5.3",
+    "vitest": "^1.6.0"
  }
 }
@@ -0,0 +1,87 @@
+// CSS 健康度审计脚本。
+// 用法: npm run css:audit
+// 输出每个 CSS 文件的行数、选择器数、!important 数、@media 数，
+// 以及 !important 密度（每 100 行的 !important 数）。
+// 用于建立基线、跟踪 CSS 瘦身进度、防止 !important 回潮。
+
+import { readFileSync, readdirSync, statSync } from "node:fs";
+import { fileURLToPath } from "node:url";
+import { dirname, join, relative } from "node:path";
+
+const ROOT = join(dirname(fileURLToPath(import.meta.url)), "..", "src", "styles");
+const REPORT = [];
+
+function scanCssFile(filePath) {
+  const content = readFileSync(filePath, "utf-8");
+  const lines = content.split(/\r?\n/).length;
+  const selectors = (content.match(/\{/g) || []).length;
+  const important = (content.match(/!important/g) || []).length;
+  const media = (content.match(/@media/g) || []).length;
+  const density = lines > 0 ? ((important / lines) * 100).toFixed(1) : "0";
+  return { lines, selectors, important, media, density };
+}
+
+function walk(dir) {
+  for (const entry of readdirSync(dir)) {
+    const full = join(dir, entry);
+    const st = statSync(full);
+    if (st.isDirectory()) {
+      walk(full);
+    } else if (entry.endsWith(".css")) {
+      const rel = relative(ROOT, full).replace(/\\/g, "/");
+      REPORT.push({ file: rel, ...scanCssFile(full) });
+    }
+  }
+}
+
+walk(ROOT);
+
+// Sort by !important count descending to surface the worst offenders.
+REPORT.sort((a, b) => b.important - a.important);
+
+const totals = REPORT.reduce(
+  (acc, r) => {
+    acc.lines += r.lines;
+    acc.selectors += r.selectors;
+    acc.important += r.important;
+    acc.media += r.media;
+    return acc;
+  },
+  { lines: 0, selectors: 0, important: 0, media: 0 },
+);
+
+const pad = (s, n) => String(s).padEnd(n);
+const num = (s, n) => String(s).padStart(n);
+
+console.log("\nCSS Audit Report — src/styles/\n");
+console.log(
+  `${pad("File", 52)} ${num("Lines", 7)} ${num("Sel", 6)} ${num("!imp", 7)} ${num("@media", 7)}  imp/100ln`,
+);
+console.log("-".repeat(92));
+for (const r of REPORT) {
+  console.log(
+    `${pad(r.file, 52)} ${num(r.lines, 7)} ${num(r.selectors, 6)} ${num(r.important, 7)} ${num(r.media, 7)}  ${r.density}`,
+  );
+}
+console.log("-".repeat(92));
+console.log(
+  `${pad("TOTAL", 52)} ${num(totals.lines, 7)} ${num(totals.selectors, 6)} ${num(totals.important, 7)} ${num(totals.media, 7)}  ${((totals.important / totals.lines) * 100).toFixed(1)}`,
+);
+console.log("");
+
+// Exit non-zero if total !important exceeds a budget threshold.
+// Current baseline: ~7795. Set budget slightly above to allow incremental work
+// while preventing uncontrolled growth.
+const IMPORTANT_BUDGET = 7820;
+if (totals.important > IMPORTANT_BUDGET) {
+  console.error(
+    `FAIL: !important count ${totals.important} exceeds budget ${IMPORTANT_BUDGET}. ` +
+      `Run with --no-important-check to bypass (not recommended).`,
+  );
+  process.exit(1);
+} else {
+  console.log(
+    `OK: !important count ${totals.important} within budget ${IMPORTANT_BUDGET} ` +
+      `(headroom ${IMPORTANT_BUDGET - totals.important}).`,
+  );
+}
@@ -1,28 +1,23 @@
-import { Suspense, useCallback, useEffect, useMemo, useState } from "react";
+import { lazy, Suspense, useCallback, useEffect, useMemo, useState } from "react";
 import {
  BugOutlined,
  CheckCircleFilled,
  CloseOutlined,
  HomeOutlined,
-  IdcardOutlined,
  LockOutlined,
  LoadingOutlined,
-  LoginOutlined,
  LogoutOutlined,
  MailOutlined,
  MobileOutlined,
-  PictureOutlined,
  SafetyOutlined,
  UserOutlined,
-  VideoCameraOutlined,
-  WalletOutlined,
 } from "@ant-design/icons";
+import { LocalAvatar } from "./components/LocalAvatar";
+import { Topbar } from "./components/Topbar";
 import ErrorBoundary from "./components/ErrorBoundary";
 import ToastContainer from "./components/toast/ToastContainer";
 import { toast } from "./components/toast/toastStore";
-import EcommercePage from "./features/ecommerce/EcommercePage";
 import { flushPendingGenerationRecords } from "./api/generationRecordClient";
-import { ossAssets } from "./data/ossAssets";
 import { keyServerClient } from "./api/keyServerClient";
 import { setUserMaxConcurrency } from "./api/generationConcurrency";
 import {
@@ -38,8 +33,13 @@ import { useAppStore, useSessionStore } from "./stores";
 import type { WebUserSession } from "./types";
 import "./styles/ecommerce-standalone.css";

+const EcommercePage = lazy(() => import("./features/ecommerce/EcommercePage"));
+
 type AuthMode = "login" | "register";
 type AuthMethod = "account" | "email" | "phone";
+type WorkspaceChromeState = {
+  isToolPage: boolean;
+};

 interface LocalProfilePageProps {
  session: WebUserSession;
@@ -51,33 +51,11 @@ interface LocalProfilePageProps {
  onLogout: () => void;
 }

-const profileWorks = [
-  { title: "主图套图生成", desc: "电商主图与场景图自动生成", image: ossAssets.ecommerce.templateCases[0], type: "图像", time: "6/9 18:13" },
-  { title: "A+详情页设计", desc: "产品卖点与长图详情版式", image: ossAssets.ecommerce.templateCases[1], type: "图像", time: "6/9 10:11" },
-  { title: "短视频广告", desc: "产品展示短视频脚本与画面", image: ossAssets.ecommerce.productSet.hosting, type: "视频", time: "6/9 10:05" },
-  { title: "模特图生成", desc: "服饰商品真人上身展示", image: ossAssets.ecommerce.tryOn.tryA, type: "图像", time: "6/9 10:03" },
-  { title: "商品场景图", desc: "按平台比例输出营销素材", image: ossAssets.ecommerce.detail.gridA, type: "图像", time: "6/9 10:01" },
-  { title: "高度复刻", desc: "参考图结构复刻与商品替换", image: ossAssets.ecommerce.detail.gridB, type: "图像", time: "6/9 09:39" },
-  { title: "详情模块", desc: "功能卖点、参数和包装模块", image: ossAssets.ecommerce.detail.gridC, type: "图像", time: "6/8 21:20" },
-  { title: "平台素材", desc: "淘宝/天猫投放图批量生成", image: ossAssets.ecommerce.detail.gridD, type: "图像", time: "6/8 18:26" },
-];
-
-function LocalAvatar({ session, size = "md" }: { session: WebUserSession; size?: "sm" | "md" | "lg" }) {
-  const displayName = session.user.displayName || session.user.username || "用户";
-  const label = displayName.trim().slice(0, 1).toUpperCase() || "用";
-  const avatarUrl = session.user.avatarUrl;
-  return (
-    <span className={`local-user-avatar local-user-avatar--${size}`}>
-      {avatarUrl ? <img src={avatarUrl} alt={displayName} /> : <span>{label}</span>}
-    </span>
-  );
-}
-
 function LocalProfilePage({ session, balance, imageCount, videoCount, onBack, onBugFeedback, onLogout }: LocalProfilePageProps) {
  const displayName = session.user.displayName || session.user.username || "用户";
-  const workCount = Math.max(imageCount + videoCount, profileWorks.length);
-  const projectCount = Math.max(1, Math.round(workCount / 18));
-  const assetCount = Math.max(1, Math.round(workCount / 20));
+  const workCount = Math.max(imageCount + videoCount, 0);
+  const projectCount = 0;
+  const assetCount = 0;

  return (
    <section className="local-profile-page">
@@ -142,22 +120,15 @@ function LocalProfilePage({ session, balance, imageCount, videoCount, onBack, on
            <header>
              <div>
                <strong>代表作</strong>
-                <span>最近完成的高质量生成内容</span>
+                <span>后续将展示接口返回的真实作品</span>
              </div>
              <em>{workCount} 项</em>
            </header>
-            <div className="local-profile-work-grid">
-              {profileWorks.map((work) => (
-                <article key={`${work.title}-${work.time}`} className="local-profile-work-card">
-                  <img src={work.image} alt="" />
-                  <div>
-                    <span>{work.type}</span>
-                    <strong>{work.title}</strong>
-                    <p>{work.desc}</p>
-                    <em>已完成 · {work.time}</em>
+            <div className="local-profile-work-grid local-profile-work-grid--empty">
+              <div className="local-profile-empty">
+                <strong>暂无代表作数据</strong>
+                <span>作品接口接入后，这里会显示你的真实生成内容。</span>
              </div>
-                </article>
-              ))}
            </div>
          </section>
        </main>
@@ -184,7 +155,9 @@ function App() {
  const [sessionNotice, setSessionNotice] = useState<string | null>(null);
  const [profileMenuOpen, setProfileMenuOpen] = useState(false);
  const [currentPage, setCurrentPage] = useState<"workspace" | "profile">("workspace");
-  const [workspaceKey, setWorkspaceKey] = useState(0);
+  const [workspaceChrome, setWorkspaceChrome] = useState<WorkspaceChromeState>({
+    isToolPage: false,
+  });

  useEffect(() => {
    void loadDarkGreenTheme();
@@ -337,20 +310,6 @@ function App() {
  };

  const balance = Math.max(usage.balanceCents, 0) / 100;
-  const displayName = session?.user.displayName || session?.user.username || "用户";
-  const actualWorkCount = Math.max(usage.imageUsed + usage.videoUsed, 0);
-  const shownWorkCount = Math.max(actualWorkCount, profileWorks.length);
-
-  const avatarMenuStats = useMemo(
-    () => [
-      { icon: <IdcardOutlined />, label: "UID", value: session?.user.id ?? "-" },
-      { icon: <WalletOutlined />, label: "积分", value: `${balance.toFixed(2)} 积分` },
-      { icon: <PictureOutlined />, label: "图片", value: usage.imageUsed },
-      { icon: <VideoCameraOutlined />, label: "视频", value: usage.videoUsed },
-      { icon: <PictureOutlined />, label: "作品", value: shownWorkCount },
-    ],
-    [balance, session?.user.id, shownWorkCount, usage.imageUsed, usage.videoUsed],
-  );

  const handleOpenProfile = () => {
    setProfileMenuOpen(false);
@@ -360,7 +319,6 @@ function App() {
  const handleOpenWorkspace = () => {
    setProfileMenuOpen(false);
    setCurrentPage("workspace");
-    setWorkspaceKey((k) => k + 1);
  };

  const handleBugFeedback = () => {
@@ -369,85 +327,31 @@ function App() {
  };

  return (
-    <div className="ecommerce-standalone web-shell" data-theme="dark" data-ui-theme="dark-green" data-view="ecommerce">
-      <header className="ecommerce-standalone__topbar">
-        <button type="button" className="ecommerce-standalone__brand" onClick={handleOpenWorkspace}>
-          <span className="ecommerce-standalone__logo" aria-hidden="true">
-            <img src="https://stringtest.oss-cn-hangzhou.aliyuncs.com/logo.png" alt="" />
-          </span>
-          <strong>OmniAI 电商智能体</strong>
-        </button>
-        <div className="ecommerce-standalone__account">
-          {session ? (
-            <div className="ecommerce-profile-menu">
-              <span className="ecommerce-standalone__credits">
-                {(Math.max(usage.balanceCents, 0) / 100).toFixed(2)} 积分
-              </span>
-              <button
-                type="button"
-                className="ecommerce-profile-menu__trigger"
-                onClick={() => setProfileMenuOpen((open) => !open)}
-                aria-haspopup="dialog"
-                aria-expanded={profileMenuOpen}
+    <div
+      className="ecommerce-standalone web-shell"
+      data-theme="dark"
+      data-ui-theme="dark-green"
+      data-view="ecommerce"
+      data-workspace-tool-page={workspaceChrome.isToolPage ? "true" : "false"}
    >
-                <LocalAvatar session={session} size="sm" />
-                <span>{displayName}</span>
-              </button>
-              {profileMenuOpen ? (
-                <>
-                  <button
-                    type="button"
-                    className="ecommerce-profile-popover__backdrop"
-                    aria-label="关闭账户信息"
-                    onClick={() => setProfileMenuOpen(false)}
+      <Topbar
+        session={session}
+        usage={usage}
+        profileMenuOpen={profileMenuOpen}
+        onProfileMenuOpenChange={setProfileMenuOpen}
+        onOpenWorkspace={handleOpenWorkspace}
+        onOpenProfile={handleOpenProfile}
+        onOpenAuth={openAuth}
+        onLogout={handleLogout}
+        onBugFeedback={handleBugFeedback}
      />
-                  <section className="ecommerce-profile-popover" role="dialog" aria-label="账户信息">
-                  <div className="ecommerce-profile-popover__head">
-                    <LocalAvatar session={session} size="md" />
-                    <div>
-                      <strong>{displayName}</strong>
-                      <span>{session.user.username}</span>
-                    </div>
-                  </div>
-
-                  <dl className="ecommerce-profile-popover__stats">
-                    {avatarMenuStats.map((item) => (
-                      <div key={item.label}>
-                        <dt>{item.icon}{item.label}</dt>
-                        <dd>{item.value}</dd>
-                      </div>
-                    ))}
-                  </dl>
-
-                  <div className="ecommerce-profile-popover__actions">
-                    <button type="button" className="is-primary" onClick={handleOpenProfile}>
-                      <UserOutlined />
-                      个人中心
-                    </button>
-                    <button type="button" onClick={handleBugFeedback}>
-                      <BugOutlined />
-                      Bug 反馈
-                    </button>
-                    <button type="button" className="is-danger" onClick={handleLogout}>
-                      <LogoutOutlined />
-                      退出
-                    </button>
-                  </div>
-                  </section>
-                </>
-              ) : null}
-            </div>
-          ) : (
-            <button type="button" onClick={() => openAuth("login")}>
-              <LoginOutlined />
-              <span>登录 / 注册</span>
-            </button>
-          )}
-        </div>
-      </header>

      <main className="ecommerce-standalone__content">
-        {currentPage === "profile" && session ? (
+        {session ? (
+          <div
+            className="ecommerce-standalone__page ecommerce-standalone__page--profile"
+            hidden={currentPage !== "profile"}
+          >
            <LocalProfilePage
              session={session}
              balance={balance}
@@ -457,7 +361,14 @@ function App() {
              onBugFeedback={handleBugFeedback}
              onLogout={handleLogout}
            />
-        ) : (
+          </div>
+        ) : null}
+        {/* 工作台常驻挂载，仅用 hidden 切换。切到个人中心时不卸载，
+            生成任务、进度动画、已上传图片等本地状态全部保留，切回即继续。 */}
+        <div
+          className="ecommerce-standalone__page ecommerce-standalone__page--workspace"
+          hidden={Boolean(session) && currentPage === "profile"}
+        >
          <ErrorBoundary>
            <Suspense
              fallback={
@@ -468,9 +379,9 @@ function App() {
              }
            >
              <EcommercePage
-                key={workspaceKey}
                projects={[]}
                isAuthenticated={Boolean(session)}
+                onWorkspaceChromeChange={setWorkspaceChrome}
                onStartCreate={() => undefined}
                onOpenProject={() => undefined}
                onDeleteProject={() => undefined}
@@ -482,7 +393,7 @@ function App() {
              />
            </Suspense>
          </ErrorBoundary>
-        )}
+        </div>
      </main>

      {authOpen ? (
@@ -503,10 +414,7 @@ function App() {
              <CloseOutlined />
            </button>
            <span className="ecommerce-auth-modal__logo" aria-hidden="true">
-              <i />
-              <i />
-              <i />
-              <i />
+              <img src="https://stringtest.oss-cn-hangzhou.aliyuncs.com/logo.png" alt="" />
            </span>
            <h2 id="ecommerce-auth-title">{authMode === "login" ? "欢迎回来" : "创建账号"}</h2>
            <p className="ecommerce-auth-modal__subtitle">{authMode === "login" ? "登录后继续你的 AI 创作之旅" : "注册即可免费体验全部功能"}</p>
@@ -1,8 +1,5 @@
 import { buildApiUrl, buildAuthHeaders } from "./serverConnection";

-const TEXT_MODELS = ["qwen-max", "qwen-plus", "qwen-turbo"];
-const VISION_MODELS = ["qwen3.7-plus", "qwen-vl-plus", "qwen-vl-max"];
-
 type AbortSignalConstructorWithAny = typeof AbortSignal & {
  any?: (signals: AbortSignal[]) => AbortSignal;
 };
@@ -110,11 +107,45 @@ export interface ComplianceCheck {
  allow_video_generation: boolean;
 }

+function findJsonSlice(raw: string): string {
+  const start = raw.search(/[\[{]/);
+  if (start < 0) return raw;
+
+  const stack: string[] = [];
+  let inString = false;
+  let escaped = false;
+
+  for (let index = start; index < raw.length; index += 1) {
+    const char = raw[index];
+
+    if (inString) {
+      if (escaped) {
+        escaped = false;
+      } else if (char === "\\") {
+        escaped = true;
+      } else if (char === "\"") {
+        inString = false;
+      }
+      continue;
+    }
+
+    if (char === "\"") {
+      inString = true;
+    } else if (char === "{" || char === "[") {
+      stack.push(char === "{" ? "}" : "]");
+    } else if (char === "}" || char === "]") {
+      if (stack.pop() !== char) break;
+      if (stack.length === 0) return raw.slice(start, index + 1);
+    }
+  }
+
+  return raw.slice(start);
+}
+
 function extractJson(text: string): unknown {
  const fenced = text.match(/```(?:json)?\s*([\s\S]*?)```/);
  const raw = fenced ? fenced[1].trim() : text.trim();
-  const start = raw.search(/[[{]/);
-  const slice = start >= 0 ? raw.slice(start) : raw;
+  const slice = findJsonSlice(raw);
  try {
    return JSON.parse(slice);
  } catch {
@@ -122,9 +153,16 @@ function extractJson(text: string): unknown {
  }
 }

+type ChatContent =
+  | string
+  | Array<
+      | { type: "image_url"; image_url: { url: string } }
+      | { type: "text"; text: string }
+    >;
+
 interface ChatMessage {
  role: "system" | "user";
-  content: string;
+  content: ChatContent;
 }

 const MAX_RETRIES = 3;
@@ -171,22 +209,20 @@ async function chat(
  userContent: string,
  options?: { model?: string; signal?: AbortSignal },
 ): Promise<string> {
-  const candidateModels = options?.model ? [options.model] : TEXT_MODELS;
-  let lastError: Error | null = null;
-
-  for (const model of candidateModels) {
-    try {
-      return await retryOnTransient(async () => {
+  return retryOnTransient(async () => {
    const messages: ChatMessage[] = [
      { role: "system", content: systemPrompt },
      { role: "user", content: userContent },
    ];
    const timeoutSignal = AbortSignal.timeout(CHAT_TIMEOUT_MS);
    const combinedSignal = combineAbortSignals(options?.signal, timeoutSignal);
+    const body: Record<string, unknown> = { messages, stream: false, temperature: 0.4 };
+    if (options?.model) body.model = options.model;
+
    const res = await fetch(buildApiUrl("ai/chat"), {
      method: "POST",
      headers: buildAuthHeaders(),
-          body: JSON.stringify({ model, messages, stream: false, temperature: 0.4 }),
+      body: JSON.stringify(body),
      signal: combinedSignal,
    });
    if (!res.ok) {
@@ -199,15 +235,6 @@ async function chat(
    if (!content) throw new Error("模型未返回有效内容");
    return content;
  }, options?.signal);
-    } catch (err) {
-      lastError = err instanceof Error ? err : new Error(String(err));
-      if (options?.signal?.aborted) throw lastError;
-      // If user pinned a specific model, don't fall back to others
-      if (options?.model) throw lastError;
-      // Try next model in fallback chain
-    }
-  }
-  throw lastError ?? new Error("所有候选模型均不可用");
 }

 async function visionChat(
@@ -216,30 +243,28 @@ async function visionChat(
  imageUrls: string[],
  signal?: AbortSignal,
 ): Promise<string> {
-  const content = [
-    ...imageUrls.map((url) => ({ type: "image_url", image_url: { url } })),
+  const content: ChatContent = [
+    ...imageUrls.map((url) => ({ type: "image_url" as const, image_url: { url } })),
    { type: "text", text },
  ];
  const messages = [
    { role: "system", content: systemPrompt },
    { role: "user", content },
-  ];
+  ] satisfies ChatMessage[];

-  let lastError: Error | null = null;
-  for (const model of VISION_MODELS) {
+  return retryOnTransient(async () => {
    const timeoutSignal = AbortSignal.timeout(CHAT_TIMEOUT_MS);
    const combinedSignal = combineAbortSignals(signal, timeoutSignal);
-    try {
-      const out = await retryOnTransient(async () => {
+
    const res = await fetch(buildApiUrl("ai/chat"), {
      method: "POST",
      headers: buildAuthHeaders(),
-          body: JSON.stringify({ model, messages, stream: false, temperature: 0.3 }),
+      body: JSON.stringify({ messages, stream: false, temperature: 0.3 }),
      signal: combinedSignal,
    });
    if (!res.ok) {
      const errBody = await res.text().catch(() => "");
-          if (errBody.includes("image format")) throw new Error("IMAGE_FORMAT_FALLBACK");
+      if (errBody.includes("image format")) throw new Error("图片格式不受支持，请更换图片后重试");
      throw new Error(`图片理解调用失败 (${res.status})${errBody ? `: ${errBody.slice(0, 120)}` : ""}`);
    }
    const payload = await res.json();
@@ -248,18 +273,6 @@ async function visionChat(
    if (!result) throw new Error("图片理解未返回有效内容");
    return result;
  }, signal);
-      return out;
-    } catch (err) {
-      lastError = err instanceof Error ? err : new Error(String(err));
-      if (signal?.aborted) throw lastError;
-      // Continue trying next vision model on transient failures, image format errors, or upstream errors
-      if (lastError.message === "IMAGE_FORMAT_FALLBACK") continue;
-      if (lastError.message.includes("图片理解调用失败")) continue;
-      if (isTransientError(lastError)) continue;
-      throw lastError;
-    }
-  }
-  throw lastError ?? new Error("图片理解调用失败，所有模型均不可用");
 }

 const IMAGE_UNDERSTANDING_PROMPT = `你是电商产品图片分析专家。请分析用户提供的产品图片，识别产品主体、外观、颜色、材质、形状、尺寸感、品牌标识、关键部件、可视化卖点和适合展示的镜头角度。请用简洁的中文段落描述，不要编造图片中看不到的信息。`;
@@ -0,0 +1 @@
+export * from "./aiGenerationClient.ts";
@@ -1,18 +1,24 @@
 import {
  buildApiUrl,
  buildAuthHeaders,
-  isRecord,
  readJsonResponse,
  serverRequest,
  throwResponseError,
 } from "./serverConnection";
 import { isOptionalApiRouteMissing } from "./apiErrorUtils";
+import {
+  parseAiTaskStatus,
+  parseAiTaskStatusList,
+  parseImageTaskCreateResponse,
+  parseSseTaskFrame,
+  parseTaskCreateResponse,
+} from "./dtoParsers";
 import type { WebGenerationPreviewTask } from "../types";

 export interface ImageGenInput {
  projectId?: string;
  conversationId?: number;
-  model: string;
+  model?: string;
  prompt: string;
  ratio?: string;
  quality?: string;
@@ -89,6 +95,8 @@ export interface ImageEditInput {
  imageUrl: string;
  function: string;
  prompt?: string;
+  maskUrl?: string;
+  ratio?: string;
  n?: number;
 }

@@ -188,13 +196,6 @@ function parseContentDispositionFilename(value: string | null): string | undefin
  return plainMatch?.[1]?.trim() || undefined;
 }

-function extractTaskList(payload: unknown): AiTaskStatus[] {
-  if (Array.isArray(payload)) return payload as AiTaskStatus[];
-  if (!isRecord(payload)) return [];
-  const rows = payload.tasks ?? payload.items;
-  return Array.isArray(rows) ? (rows as AiTaskStatus[]) : [];
-}
-
 function getStoredSessionRole(): string {
  try {
    if (typeof window === "undefined") return "";
@@ -208,8 +209,9 @@ function getStoredSessionRole(): string {
 }

 function emitImageRouteDebug(label: string, payload: Record<string, unknown>): void {
-  // Only emit console logs for admin users — hides enterprise routing details
-  if (getStoredSessionRole() === "admin") {
+  // Only emit route debug for admin users; provider routing is operational data.
+  if (getStoredSessionRole() !== "admin") return;
+
  const entry: ImageRouteDebugEntry = {
    at: new Date().toISOString(),
    label,
@@ -220,14 +222,12 @@ function emitImageRouteDebug(label: string, payload: Record<string, unknown>): v
  } catch {
    console.log(label, entry);
  }
-  }

  if (typeof window === "undefined") return;
  const debugWindow = window as Window & { __OMNIAI_IMAGE_ROUTE_DEBUG__?: ImageRouteDebugEntry[] };
  const previousEntries = Array.isArray(debugWindow.__OMNIAI_IMAGE_ROUTE_DEBUG__)
    ? debugWindow.__OMNIAI_IMAGE_ROUTE_DEBUG__
    : [];
-  const entry: ImageRouteDebugEntry = { at: new Date().toISOString(), label, ...payload };
  debugWindow.__OMNIAI_IMAGE_ROUTE_DEBUG__ = [...previousEntries.slice(-19), entry];
 }

@@ -250,67 +250,73 @@ export const aiGenerationClient = {
      projectId: input.projectId,
      conversationId: input.conversationId,
    });
-    const payload = await serverRequest<ImageTaskCreateResponse>("ai/image", {
+    const payload = await serverRequest<unknown>("ai/image", {
      method: "POST",
      body: input,
      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
      maxRetries: NON_RETRYING_REQUEST.maxRetries,
      fallbackMessage: "Image generation request failed",
    });
-    if (payload.providerDebug) {
-      emitImageRouteDebug("[ai/image-provider-debug]", payload.providerDebug as Record<string, unknown>);
+    const parsed = parseImageTaskCreateResponse(payload);
+    if (parsed.providerDebug) {
+      emitImageRouteDebug("[ai/image-provider-debug]", parsed.providerDebug as Record<string, unknown>);
    }
-    return payload;
+    return parsed;
  },

  async createVideoTask(input: VideoGenInput): Promise<{ taskId: string }> {
-    return serverRequest<{ taskId: string }>("ai/video", {
+    const payload = await serverRequest<unknown>("ai/video", {
      method: "POST",
      body: input,
      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
      maxRetries: NON_RETRYING_REQUEST.maxRetries,
      fallbackMessage: "Video generation request failed",
    });
+    return parseTaskCreateResponse(payload);
  },

  async createVideoSuperResolveTask(input: VideoSuperResolveInput): Promise<{ taskId: string }> {
-    return serverRequest<{ taskId: string }>("ai/video/super-resolve", {
+    const payload = await serverRequest<unknown>("ai/video/super-resolve", {
      method: "POST",
      body: input,
      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
      maxRetries: NON_RETRYING_REQUEST.maxRetries,
      fallbackMessage: "Video super-resolution request failed",
    });
+    return parseTaskCreateResponse(payload);
  },

  async createEraseSubtitlesTask(input: EraseSubtitlesInput): Promise<{ taskId: string }> {
-    return serverRequest<{ taskId: string }>("ai/video/erase-subtitles", {
+    const payload = await serverRequest<unknown>("ai/video/erase-subtitles", {
      method: "POST",
      body: input,
      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
      maxRetries: NON_RETRYING_REQUEST.maxRetries,
      fallbackMessage: "Subtitle removal request failed",
    });
+    return parseTaskCreateResponse(payload);
  },

  async createImageSuperResolveTask(input: ImageSuperResolveInput): Promise<{ taskId: string }> {
-    return serverRequest<{ taskId: string }>("ai/image/super-resolve", {
+    const payload = await serverRequest<unknown>("ai/image/super-resolve", {
      method: "POST",
      body: input,
      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
      maxRetries: NON_RETRYING_REQUEST.maxRetries,
      fallbackMessage: "Image super-resolution request failed",
    });
+    return parseTaskCreateResponse(payload);
  },

  async createImageEditTask(input: ImageEditInput): Promise<{ taskId: string }> {
-    return serverRequest<{ taskId: string }>("ai/image/edit", {
+    const payload = await serverRequest<unknown>("ai/image/edit", {
      method: "POST",
      body: input,
      timeoutMs: TASK_SUBMIT_TIMEOUT_MS,
      maxRetries: NON_RETRYING_REQUEST.maxRetries,
      fallbackMessage: "Image edit request failed",
    });
+    return parseTaskCreateResponse(payload);
  },

  async cancelTask(taskId: string): Promise<void> {
@@ -327,10 +333,11 @@ export const aiGenerationClient = {
  },

  async getTaskStatus(taskId: string): Promise<AiTaskStatus> {
-    return serverRequest<AiTaskStatus>(`ai/tasks/${taskId}`, {
+    const payload = await serverRequest<unknown>(`ai/tasks/${taskId}`, {
      timeoutMs: TASK_STATUS_TIMEOUT_MS,
      fallbackMessage: "Task status request failed",
    });
+    return parseAiTaskStatus(payload);
  },

  async downloadTaskResult(taskId: string): Promise<{ blob: Blob; filename?: string; contentType?: string }> {
@@ -360,7 +367,7 @@ export const aiGenerationClient = {
      const payload = await serverRequest<unknown>(`ai/tasks${search.toString() ? `?${search}` : ""}`, {
        fallbackMessage: "Task history request failed",
      });
-      return extractTaskList(payload).map(toPreviewTask);
+      return parseAiTaskStatusList(payload).map(toPreviewTask);
    } catch (error) {
      if (isOptionalApiRouteMissing(error)) {
        taskHistoryRouteMissing = true;
@@ -450,7 +457,7 @@ export const aiGenerationClient = {
            if (!line.startsWith("data: ")) continue;
            try {
              const data = JSON.parse(line.slice(6));
-              onUpdate(data);
+              onUpdate(parseSseTaskFrame(data));
            } catch { /* ignore */ }
          }
        }
@@ -0,0 +1 @@
+export * from "./apiErrorUtils.ts";
@@ -0,0 +1,184 @@
+import { describe, it, expect } from "vitest";
+import {
+  parseAiTaskStatus,
+  parseTaskCreateResponse,
+  parseImageTaskCreateResponse,
+  parseAiTaskStatusList,
+  parseSseTaskFrame,
+} from "./dtoParsers";
+
+describe("parseAiTaskStatus", () => {
+  it("parses a well-formed camelCase DTO", () => {
+    const result = parseAiTaskStatus({
+      taskId: "task-1",
+      type: "video",
+      status: "running",
+      progress: 42,
+      resultUrl: "https://example.com/r.mp4",
+      error: null,
+      createdAt: "2026-01-01T00:00:00Z",
+      updatedAt: "2026-01-01T00:01:00Z",
+    });
+    expect(result.taskId).toBe("task-1");
+    expect(result.type).toBe("video");
+    expect(result.status).toBe("running");
+    expect(result.progress).toBe(42);
+    expect(result.resultUrl).toBe("https://example.com/r.mp4");
+  });
+
+  it("tolerates snake_case field names", () => {
+    const result = parseAiTaskStatus({
+      task_id: "task-2",
+      result_url: "https://example.com/x.png",
+      created_at: "2026-01-01T00:00:00Z",
+      updated_at: "2026-01-01T00:00:00Z",
+    });
+    expect(result.taskId).toBe("task-2");
+    expect(result.resultUrl).toBe("https://example.com/x.png");
+  });
+
+  it("falls back to safe defaults for missing fields", () => {
+    const result = parseAiTaskStatus({});
+    expect(result.taskId).toBe("");
+    expect(result.type).toBe("image");
+    expect(result.status).toBe("failed");
+    expect(result.progress).toBe(0);
+    expect(result.resultUrl).toBeNull();
+    expect(result.error).toBeNull();
+  });
+
+  it("rejects unknown status/type values", () => {
+    const result = parseAiTaskStatus({ status: "weird", type: "audio" });
+    expect(result.status).toBe("failed");
+    expect(result.type).toBe("image");
+  });
+
+  it("clamps progress to [0, 100]", () => {
+    expect(parseAiTaskStatus({ progress: 150 }).progress).toBe(100);
+    expect(parseAiTaskStatus({ progress: -10 }).progress).toBe(0);
+    expect(parseAiTaskStatus({ progress: "not-a-number" }).progress).toBe(0);
+  });
+
+  it("preserves numeric conversationId and nulls others", () => {
+    expect(parseAiTaskStatus({ conversationId: 7 }).conversationId).toBe(7);
+    expect(parseAiTaskStatus({ conversation_id: 9 }).conversationId).toBe(9);
+    expect(parseAiTaskStatus({ conversationId: "nope" }).conversationId).toBeNull();
+    expect(parseAiTaskStatus({}).conversationId).toBeNull();
+  });
+
+  it("returns empty string for a non-record payload", () => {
+    const result = parseAiTaskStatus("garbage");
+    expect(result.taskId).toBe("");
+    expect(result.status).toBe("failed");
+  });
+});
+
+describe("parseTaskCreateResponse", () => {
+  it("extracts taskId from a create response", () => {
+    expect(parseTaskCreateResponse({ taskId: "abc" }).taskId).toBe("abc");
+    expect(parseTaskCreateResponse({ task_id: "def" }).taskId).toBe("def");
+    expect(parseTaskCreateResponse({ id: "ghi" }).taskId).toBe("ghi");
+  });
+
+  it("throws when taskId is missing", () => {
+    expect(() => parseTaskCreateResponse({})).toThrow();
+    expect(() => parseTaskCreateResponse({ taskId: "" })).toThrow();
+    expect(() => parseTaskCreateResponse({ taskId: "  " })).toThrow();
+  });
+});
+
+describe("parseImageTaskCreateResponse", () => {
+  it("includes providerDebug when present", () => {
+    const result = parseImageTaskCreateResponse({
+      taskId: "img-1",
+      providerDebug: {
+        requestedModel: "gpt-image",
+        effectiveModel: "dall-e-3",
+        route: ["primary", "fallback"],
+        candidates: [{ provider: "openai", model: "dall-e-3" }],
+      },
+    });
+    expect(result.taskId).toBe("img-1");
+    expect(result.providerDebug?.effectiveModel).toBe("dall-e-3");
+    expect(result.providerDebug?.route).toEqual(["primary", "fallback"]);
+    expect(result.providerDebug?.candidates?.[0]?.model).toBe("dall-e-3");
+  });
+
+  it("omits providerDebug when absent", () => {
+    const result = parseImageTaskCreateResponse({ taskId: "img-2" });
+    expect(result.taskId).toBe("img-2");
+    expect(result.providerDebug).toBeUndefined();
+  });
+
+  it("tolerates snake_case providerDebug fields", () => {
+    const result = parseImageTaskCreateResponse({
+      taskId: "img-3",
+      provider_debug: { requested_model: "x", primary_provider: "openai" },
+    });
+    expect(result.providerDebug?.requestedModel).toBe("x");
+    expect(result.providerDebug?.primaryProvider).toBe("openai");
+  });
+
+  it("throws when taskId missing even if providerDebug present", () => {
+    expect(() => parseImageTaskCreateResponse({ providerDebug: {} })).toThrow();
+  });
+});
+
+describe("parseAiTaskStatusList", () => {
+  it("parses a bare array", () => {
+    const result = parseAiTaskStatusList([{ taskId: "a" }, { taskId: "b" }]);
+    expect(result).toHaveLength(2);
+    expect(result[0].taskId).toBe("a");
+  });
+
+  it("parses an envelope { tasks: [...] }", () => {
+    const result = parseAiTaskStatusList({ tasks: [{ taskId: "a" }, { task_id: "b" }] });
+    expect(result).toHaveLength(2);
+    expect(result[1].taskId).toBe("b");
+  });
+
+  it("parses an envelope { items: [...] }", () => {
+    const result = parseAiTaskStatusList({ items: [{ taskId: "a" }] });
+    expect(result).toHaveLength(1);
+  });
+
+  it("drops rows with no taskId rather than crashing", () => {
+    const result = parseAiTaskStatusList([{ taskId: "keep" }, { status: "running" }, {}]);
+    expect(result).toHaveLength(1);
+    expect(result[0].taskId).toBe("keep");
+  });
+
+  it("returns empty array for non-array non-record payload", () => {
+    expect(parseAiTaskStatusList(null)).toEqual([]);
+    expect(parseAiTaskStatusList("nope")).toEqual([]);
+    expect(parseAiTaskStatusList({})).toEqual([]);
+  });
+});
+
+describe("parseSseTaskFrame", () => {
+  it("parses a well-formed SSE frame", () => {
+    const frame = parseSseTaskFrame({
+      taskId: "sse-1",
+      status: "completed",
+      progress: 100,
+      resultUrl: "https://example.com/done.png",
+    });
+    expect(frame.taskId).toBe("sse-1");
+    expect(frame.status).toBe("completed");
+    expect(frame.progress).toBe(100);
+    expect(frame.resultUrl).toBe("https://example.com/done.png");
+  });
+
+  it("clamps progress and rejects unknown status", () => {
+    const frame = parseSseTaskFrame({ taskId: "sse-2", status: "oops", progress: 999 });
+    expect(frame.status).toBe("failed");
+    expect(frame.progress).toBe(100);
+  });
+
+  it("handles a non-object payload", () => {
+    const frame = parseSseTaskFrame("garbage");
+    expect(frame.taskId).toBe("");
+    expect(frame.status).toBe("failed");
+    expect(frame.progress).toBe(0);
+  });
+});
@@ -0,0 +1,173 @@
+// DTO 解析层：把后端返回的 unknown 安全地解析成强类型 view model。
+// 所有从 serverRequest / SSE / localStorage 进入前端状态的 DTO 都应经过这里的 parser，
+// 避免 as unknown as / as T 这类静默断言在后端变形时把 undefined/错误类型传到 UI。
+//
+// helper 与 keyServerClient 里的 toNumber/toStringValue 同构，为避免改动 keyServerClient
+// 暂在此自带一份；后续可统一到共享 dtoHelpers 模块。
+
+import { isRecord } from "./serverConnection";
+import type { AiTaskStatus, ImageTaskCreateResponse, ImageProviderDebug } from "./aiGenerationClient";
+
+function toNumber(value: unknown, fallback = 0): number {
+  const numberValue = typeof value === "number" ? value : Number(value);
+  return Number.isFinite(numberValue) ? numberValue : fallback;
+}
+
+function toNullableString(value: unknown): string | null {
+  if (typeof value !== "string") return null;
+  const trimmed = value.trim();
+  return trimmed || null;
+}
+
+const TASK_STATUS_VALUES: ReadonlySet<string> = new Set(["pending", "running", "completed", "failed", "cancelled"]);
+const TASK_TYPE_VALUES: ReadonlySet<string> = new Set(["image", "video"]);
+
+function normalizeTaskStatusValue(value: unknown): AiTaskStatus["status"] {
+  return typeof value === "string" && TASK_STATUS_VALUES.has(value)
+    ? (value as AiTaskStatus["status"])
+    : "failed";
+}
+
+function normalizeTaskTypeValue(value: unknown): AiTaskStatus["type"] {
+  return typeof value === "string" && TASK_TYPE_VALUES.has(value) ? (value as AiTaskStatus["type"]) : "image";
+}
+
+interface ProviderDebugCandidate {
+  provider?: string;
+  transport?: string;
+  model?: string;
+  requestedModel?: string;
+  billingProvider?: string;
+  fallbackOf?: string;
+}
+
+function normalizeProviderDebugCandidate(raw: unknown): ProviderDebugCandidate {
+  if (!isRecord(raw)) return {};
+  return {
+    provider: toNullableString(raw.provider) ?? undefined,
+    transport: toNullableString(raw.transport) ?? undefined,
+    model: toNullableString(raw.model) ?? undefined,
+    requestedModel: toNullableString(raw.requestedModel ?? raw.requested_model) ?? undefined,
+    billingProvider: toNullableString(raw.billingProvider ?? raw.billing_provider) ?? undefined,
+    fallbackOf: toNullableString(raw.fallbackOf ?? raw.fallback_of) ?? undefined,
+  };
+}
+
+function toStringArray(raw: unknown): string[] | undefined {
+  if (!Array.isArray(raw)) return undefined;
+  return (raw as unknown[])
+    .map((item) => toNullableString(item))
+    .filter((item): item is string => item !== null);
+}
+
+function normalizeProviderDebug(raw: unknown): ImageProviderDebug | undefined {
+  if (!isRecord(raw)) return undefined;
+  const hasAny =
+    (raw.requestedModel ?? raw.requested_model) !== undefined ||
+    (raw.effectiveModel ?? raw.effective_model) !== undefined ||
+    (raw.primaryProvider ?? raw.primary_provider) !== undefined ||
+    (raw.fallbackProviders ?? raw.fallback_providers) !== undefined ||
+    raw.route !== undefined ||
+    raw.candidates !== undefined;
+  if (!hasAny) return undefined;
+  const fallbackProviders = toStringArray(raw.fallbackProviders ?? raw.fallback_providers);
+  const route = toStringArray(raw.route);
+  const candidates = Array.isArray(raw.candidates)
+    ? (raw.candidates as unknown[]).map(normalizeProviderDebugCandidate)
+    : undefined;
+  return {
+    requestedModel: toNullableString(raw.requestedModel ?? raw.requested_model) ?? undefined,
+    effectiveModel: toNullableString(raw.effectiveModel ?? raw.effective_model) ?? undefined,
+    primaryProvider: toNullableString(raw.primaryProvider ?? raw.primary_provider) ?? undefined,
+    fallbackProviders,
+    route,
+    candidates,
+  };
+}
+
+/**
+ * Parse a single task status DTO. Returns a well-formed AiTaskStatus with safe
+ * defaults for any missing/malformed field, so downstream code never sees
+ * undefined where it expects a value.
+ */
+export function parseAiTaskStatus(payload: unknown): AiTaskStatus {
+  const task = isRecord(payload) ? payload : {};
+  return {
+    taskId: toNullableString(task.taskId ?? task.task_id ?? task.id) ?? "",
+    projectId: toNullableString(task.projectId ?? task.project_id) ?? undefined,
+    conversationId: typeof task.conversationId === "number" || typeof task.conversation_id === "number"
+      ? ((task.conversationId ?? task.conversation_id) as number)
+      : null,
+    clientQueueId: toNullableString(task.clientQueueId ?? task.client_queue_id),
+    type: normalizeTaskTypeValue(task.type),
+    status: normalizeTaskStatusValue(task.status),
+    progress: Math.max(0, Math.min(100, toNumber(task.progress))),
+    resultUrl: toNullableString(task.resultUrl ?? task.result_url),
+    error: toNullableString(task.error),
+    params: isRecord(task.params) ? task.params : undefined,
+    createdAt: toNullableString(task.createdAt ?? task.created_at) ?? "",
+    updatedAt: toNullableString(task.updatedAt ?? task.updated_at) ?? "",
+    completedAt: toNullableString(task.completedAt ?? task.completed_at),
+  };
+}
+
+/**
+ * Parse a task-create response ({ taskId }). Throws if taskId is missing,
+ * rather than silently returning { taskId: undefined }.
+ */
+export function parseTaskCreateResponse(payload: unknown): { taskId: string } {
+  const body = isRecord(payload) ? payload : {};
+  const taskId = toNullableString(body.taskId ?? body.task_id ?? body.id);
+  if (!taskId) {
+    throw new Error("任务创建失败：服务端未返回任务 ID");
+  }
+  return { taskId };
+}
+
+/**
+ * Parse an image task-create response, including optional provider debug info.
+ */
+export function parseImageTaskCreateResponse(payload: unknown): ImageTaskCreateResponse {
+  const base = parseTaskCreateResponse(payload);
+  const body = isRecord(payload) ? payload : {};
+  const providerDebug = normalizeProviderDebug(body.providerDebug ?? body.provider_debug);
+  return providerDebug ? { ...base, providerDebug } : base;
+}
+
+/**
+ * Parse a task list payload that may be a bare array or an envelope
+ * ({ tasks | items: [...] }). Malformed elements are dropped, not coerced,
+ * because a single bad row should not corrupt the whole history list.
+ */
+export function parseAiTaskStatusList(payload: unknown): AiTaskStatus[] {
+  let rows: unknown[];
+  if (Array.isArray(payload)) {
+    rows = payload;
+  } else if (isRecord(payload)) {
+    const nested = payload.tasks ?? payload.items;
+    rows = Array.isArray(nested) ? nested : [];
+  } else {
+    rows = [];
+  }
+  // Keep only rows that have a non-empty taskId — empty-id rows are useless
+  // to the UI and indicate a malformed DTO.
+  return rows.map(parseAiTaskStatus).filter((task) => task.taskId);
+}
+
+/**
+ * Parse an SSE task frame. SSE data is untyped JSON from the server stream;
+ * this validates the subset of fields that subscribeTaskStatus forwards.
+ */
+export function parseSseTaskFrame(payload: unknown): Pick<
+  AiTaskStatus,
+  "taskId" | "status" | "progress" | "resultUrl" | "error"
+> {
+  const frame = isRecord(payload) ? payload : {};
+  return {
+    taskId: toNullableString(frame.taskId ?? frame.task_id) ?? "",
+    status: normalizeTaskStatusValue(frame.status),
+    progress: Math.max(0, Math.min(100, toNumber(frame.progress))),
+    resultUrl: toNullableString(frame.resultUrl ?? frame.result_url),
+    error: toNullableString(frame.error),
+  };
+}
@@ -0,0 +1 @@
+export * from "./generationRecordClient.ts";
@@ -38,6 +38,45 @@ export interface SaveGenerationRecordResult {
  id: string;
 }

+// 同一 clientRecordId 的保存去重：套图主流程、backgroundTaskRunner、useGenerationTasks
+// 三处都可能对同一条终态任务调用 saveGenerationRecord，SSE 重复推送 completed 时
+// 单个 poller 内也会重复触发。这里做客户端幂等：in-flight 合流 + 成功后短期拦截，
+// 避免后端在缺少去重时插入重复记录。
+const inFlightSaves = new Map<string, Promise<SaveGenerationRecordResult>>();
+const recentlySavedRecords = new Map<string, { savedAt: number; signature: string }>();
+const SAVE_DEDUPE_WINDOW_MS = 60_000;
+
+function pruneRecentlySaved(now: number): void {
+  for (const [id, record] of recentlySavedRecords) {
+    if (now - record.savedAt > SAVE_DEDUPE_WINDOW_MS) recentlySavedRecords.delete(id);
+  }
+}
+
+function stableJsonStringify(value: unknown): string {
+  if (value === null || typeof value !== "object") return JSON.stringify(value);
+  if (Array.isArray(value)) return `[${value.map(stableJsonStringify).join(",")}]`;
+  const entries = Object.entries(value as Record<string, unknown>)
+    .filter(([, entryValue]) => entryValue !== undefined)
+    .sort(([a], [b]) => a.localeCompare(b));
+  return `{${entries.map(([key, entryValue]) => `${JSON.stringify(key)}:${stableJsonStringify(entryValue)}`).join(",")}}`;
+}
+
+function buildSaveSignature(input: SaveGenerationRecordInput): string {
+  return stableJsonStringify({
+    tool: input.tool,
+    mode: input.mode,
+    title: input.title,
+    status: input.status,
+    prompt: input.prompt,
+    taskIds: input.taskIds,
+    assets: input.assets,
+    config: input.config,
+    result: input.result,
+    metadata: input.metadata,
+    createdAt: input.createdAt,
+  });
+}
+
 function readPendingRecords(): SaveGenerationRecordInput[] {
  try {
    const raw = window.localStorage.getItem(PENDING_RECORDS_KEY);
@@ -60,6 +99,39 @@ function writePendingRecord(input: SaveGenerationRecordInput): void {
 }

 export async function saveGenerationRecord(input: SaveGenerationRecordInput): Promise<SaveGenerationRecordResult> {
+  const now = Date.now();
+  pruneRecentlySaved(now);
+
+  const recordId = input.clientRecordId;
+  const signature = buildSaveSignature(input);
+  if (recordId) {
+    const saveKey = `${recordId}:${signature}`;
+    const inFlight = inFlightSaves.get(saveKey);
+    if (inFlight) return inFlight;
+    const savedRecord = recentlySavedRecords.get(recordId);
+    if (savedRecord && savedRecord.signature === signature && now - savedRecord.savedAt <= SAVE_DEDUPE_WINDOW_MS) {
+      // 相同 clientRecordId 且 payload 完全一致时才拦截；同一记录的多轮更新需要继续保存。
+      return { source: "server", id: recordId };
+    }
+  }
+
+  const promise = saveGenerationRecordInternal(input);
+  if (recordId) {
+    const saveKey = `${recordId}:${signature}`;
+    inFlightSaves.set(saveKey, promise);
+    void promise
+      .then((result) => {
+        if (result.source === "server") recentlySavedRecords.set(recordId, { savedAt: Date.now(), signature });
+      })
+      .catch(() => undefined)
+      .finally(() => {
+        inFlightSaves.delete(saveKey);
+      });
+  }
+  return promise;
+}
+
+async function saveGenerationRecordInternal(input: SaveGenerationRecordInput): Promise<SaveGenerationRecordResult> {
  try {
    const response = await serverRequest<{ id?: string | number }>("ai/generation-records", {
      method: "POST",
@@ -0,0 +1 @@
+export * from "./serverConnection.ts";
@@ -82,9 +82,19 @@ function parseStoredSession(raw: string | null): WebUserSession | null {

  try {
    const parsed = JSON.parse(raw) as unknown;
-    return isRecord(parsed) && typeof parsed.token === "string" && isRecord(parsed.user)
-      ? (parsed as unknown as WebUserSession)
-      : null;
+    // Require token + a user object with at least an id, so a malformed/partial
+    // cached session does not get cast wholesale into WebUserSession and then
+    // crash UI code that reads user.id / user.username.
+    if (!isRecord(parsed) || typeof parsed.token !== "string" || !isRecord(parsed.user)) {
+      return null;
+    }
+    const user = parsed.user;
+    const userId = user.id ?? user.userId ?? user.user_id;
+    const username = user.username ?? user.name;
+    if (userId === undefined || typeof username !== "string" || !username.trim()) {
+      return null;
+    }
+    return parsed as unknown as WebUserSession;
  } catch {
    return null;
  }
@@ -161,7 +171,11 @@ export function clearAllUserStorage(): void {
      "omniai-web-profile-ui",
      "omniai:more-recent-tools",
      "omniai:generation-queue",
+      "omniai:generation-records.pending",
+      "omniai:ecommerce-video-workspace",
      "omniai-canvas-saved-assets",
+      "omniai.clone-ai.",
+      "omniai.ecommerce.",
    ];
    for (let i = window.localStorage.length - 1; i >= 0; i--) {
      const key = window.localStorage.key(i);
@@ -0,0 +1 @@
+export * from "./taskSubscription.ts";
@@ -0,0 +1 @@
+export * from "./webGenerationGateway.ts";
@@ -50,7 +50,6 @@ export const webGenerationGateway = {
        const result = await aiGenerationClient.createImageTask({
          projectId: params?.projectId,
          conversationId: params?.conversationId,
-          model: "gpt-image-2",
          prompt,
          ratio: params?.ratio || "16:9",
          quality: params?.quality || "1K",
@@ -0,0 +1,17 @@
+import type { WebUserSession } from "../types";
+
+interface LocalAvatarProps {
+  session: WebUserSession;
+  size?: "sm" | "md" | "lg";
+}
+
+export function LocalAvatar({ session, size = "md" }: LocalAvatarProps) {
+  const displayName = session.user.displayName || session.user.username || "用户";
+  const label = displayName.trim().slice(0, 1).toUpperCase() || "用";
+  const avatarUrl = session.user.avatarUrl;
+  return (
+    <span className={`local-user-avatar local-user-avatar--${size}`}>
+      {avatarUrl ? <img src={avatarUrl} alt={displayName} /> : <span>{label}</span>}
+    </span>
+  );
+}
@@ -0,0 +1,195 @@
+import { useEffect, useMemo, useState } from "react";
+import {
+  BugOutlined,
+  IdcardOutlined,
+  LoginOutlined,
+  LogoutOutlined,
+  PictureOutlined,
+  UserOutlined,
+  VideoCameraOutlined,
+  WalletOutlined,
+} from "@ant-design/icons";
+import { LocalAvatar } from "./LocalAvatar";
+import type { WebUserSession } from "../types";
+
+interface TopbarProps {
+  session: WebUserSession | null;
+  usage: { balanceCents: number; imageUsed: number; videoUsed: number };
+  profileMenuOpen: boolean;
+  onProfileMenuOpenChange: (open: boolean) => void;
+  onOpenWorkspace: () => void;
+  onOpenProfile: () => void;
+  onOpenAuth: (mode: "login" | "register") => void;
+  onLogout: () => void;
+  onBugFeedback: () => void;
+}
+
+export function Topbar({
+  session,
+  usage,
+  profileMenuOpen,
+  onProfileMenuOpenChange,
+  onOpenWorkspace,
+  onOpenProfile,
+  onOpenAuth,
+  onLogout,
+  onBugFeedback,
+}: TopbarProps) {
+  const [isTopbarHidden, setIsTopbarHidden] = useState(false);
+
+  useEffect(() => {
+    let restoreTimer: number | undefined;
+
+    const handleScroll = (event: Event) => {
+      if (profileMenuOpen) return;
+      const target = event.target;
+      const activeWorkspace = document.querySelector<HTMLElement>(".ecommerce-standalone__page--workspace:not([hidden])");
+      if (!activeWorkspace) return;
+      const isWorkspacePreviewScroll =
+        target instanceof HTMLElement && target.classList.contains("clone-ai-preview") && activeWorkspace.contains(target);
+      const isPageScroll =
+        target === document ||
+        target === document.scrollingElement ||
+        target === document.documentElement ||
+        target === document.body;
+      if (!isWorkspacePreviewScroll && !isPageScroll) return;
+
+      setIsTopbarHidden(true);
+      if (restoreTimer) window.clearTimeout(restoreTimer);
+      restoreTimer = window.setTimeout(() => {
+        setIsTopbarHidden(false);
+      }, 240);
+    };
+
+    window.addEventListener("scroll", handleScroll, { capture: true, passive: true });
+
+    return () => {
+      window.removeEventListener("scroll", handleScroll, { capture: true });
+      if (restoreTimer) window.clearTimeout(restoreTimer);
+    };
+  }, [profileMenuOpen]);
+
+  const balance = Math.max(usage.balanceCents, 0) / 100;
+  const displayName = session?.user.displayName || session?.user.username || "用户";
+  const actualWorkCount = Math.max(usage.imageUsed + usage.videoUsed, 0);
+  const shownWorkCount = actualWorkCount;
+
+  const avatarMenuStats = useMemo(
+    () => [
+      { icon: <IdcardOutlined />, label: "UID", value: session?.user.id ?? "-" },
+      { icon: <WalletOutlined />, label: "积分", value: `${balance.toFixed(2)} 积分` },
+      { icon: <PictureOutlined />, label: "图片", value: usage.imageUsed },
+      { icon: <VideoCameraOutlined />, label: "视频", value: usage.videoUsed },
+      { icon: <PictureOutlined />, label: "作品", value: shownWorkCount },
+    ],
+    [balance, session?.user.id, shownWorkCount, usage.imageUsed, usage.videoUsed],
+  );
+
+  return (
+    <header
+      className="ecommerce-standalone__topbar"
+      data-scroll-hidden={isTopbarHidden ? "true" : "false"}
+      style={{
+        position: "fixed",
+        top: 0,
+        left: 0,
+        right: 0,
+        zIndex: 1000,
+        pointerEvents: "none",
+        background: "transparent",
+        border: 0,
+        boxShadow: "none",
+        backdropFilter: "none",
+        WebkitBackdropFilter: "none",
+      }}
+    >
+      <button
+        type="button"
+        className="ecommerce-standalone__brand"
+        style={{ pointerEvents: "auto" }}
+        onClick={onOpenWorkspace}
+      >
+        <span className="ecommerce-standalone__logo" aria-hidden="true">
+          <img src="https://stringtest.oss-cn-hangzhou.aliyuncs.com/logo.png" alt="" />
+        </span>
+        <strong>OmniAI 电商智能体</strong>
+      </button>
+      <div className="ecommerce-standalone__account">
+        {session ? (
+          <div className="ecommerce-profile-menu">
+            <button
+              type="button"
+              className="ecommerce-profile-menu__trigger"
+              style={{ pointerEvents: "auto" }}
+              onClick={() => onProfileMenuOpenChange(!profileMenuOpen)}
+              aria-haspopup="dialog"
+              aria-expanded={profileMenuOpen}
+            >
+              <span className="ecommerce-standalone__credits">
+                {(Math.max(usage.balanceCents, 0) / 100).toFixed(2)} 积分
+              </span>
+              <LocalAvatar session={session} size="sm" />
+              <span className="ecommerce-profile-menu__name">{displayName}</span>
+            </button>
+            {profileMenuOpen ? (
+              <>
+                <button
+                  type="button"
+                  className="ecommerce-profile-popover__backdrop"
+                  aria-label="关闭账户信息"
+                  onClick={() => onProfileMenuOpenChange(false)}
+                />
+                <section className="ecommerce-profile-popover" role="dialog" aria-label="账户信息">
+                  <div className="ecommerce-profile-popover__head">
+                    <LocalAvatar session={session} size="md" />
+                    <div>
+                      <strong>{displayName}</strong>
+                      <span>{session.user.username}</span>
+                    </div>
+                  </div>
+
+                  <dl className="ecommerce-profile-popover__stats">
+                    {avatarMenuStats.map((item) => (
+                      <div key={item.label}>
+                        <dt>
+                          {item.icon}
+                          {item.label}
+                        </dt>
+                        <dd>{item.value}</dd>
+                      </div>
+                    ))}
+                  </dl>
+
+                  <div className="ecommerce-profile-popover__actions">
+                    <button type="button" className="is-primary" onClick={onOpenProfile}>
+                      <UserOutlined />
+                      个人中心
+                    </button>
+                    <button type="button" onClick={onBugFeedback}>
+                      <BugOutlined />
+                      Bug 反馈
+                    </button>
+                    <button type="button" className="is-danger" onClick={onLogout}>
+                      <LogoutOutlined />
+                      退出
+                    </button>
+                  </div>
+                </section>
+              </>
+            ) : null}
+          </div>
+        ) : (
+          <button
+            type="button"
+            className="ecommerce-standalone__login-button"
+            style={{ pointerEvents: "auto" }}
+            onClick={() => onOpenAuth("login")}
+          >
+            <LoginOutlined />
+            <span>登录 / 注册</span>
+          </button>
+        )}
+      </div>
+    </header>
+  );
+}
@@ -0,0 +1 @@
+export * from "./toastStore.ts";
@@ -0,0 +1 @@
+export * from "./ossAssets.ts";
@@ -0,0 +1 @@
+export * from "./workflows.ts";
@@ -0,0 +1,2 @@
+export { default } from "./EcommercePage.tsx";
+export * from "./EcommercePage.tsx";
@@ -1,10 +1,11 @@
 import { useSmoothedProgress } from "../../hooks/useSmoothedProgress";
-import type { ReactNode } from "react";

 interface EcommerceProgressBarProps {
  status: "idle" | "generating" | "done" | "failed" | string;
  label?: string;
  onCancel?: () => void;
+  /** 0-100 真实进度。传入时进度条按真实值推进；省略时按状态做平滑蠕动。 */
+  progress?: number;
 }

 function mapStatus(status: string): "running" | "completed" | "failed" {
@@ -14,9 +15,13 @@ function mapStatus(status: string): "running" | "completed" | "failed" {
  return "running";
 }

-export function EcommerceProgressBar({ status, label, onCancel }: EcommerceProgressBarProps) {
-  const progress = mapStatus(status) === "running" ? 50 : 100;
-  const smoothed = useSmoothedProgress(progress, mapStatus(status));
+export function EcommerceProgressBar({ status, label, onCancel, progress }: EcommerceProgressBarProps) {
+  const mapped = mapStatus(status);
+  // running 时目标取「真实进度」与兜底值 88 的较大者：有真实进度则跟随推进，
+  // 后端不推中间进度时也由平滑器持续蠕动到高位，不再卡死在 75%。
+  const realProgress = typeof progress === "number" ? Math.max(0, Math.min(100, progress)) : 0;
+  const target = mapped === "running" ? Math.max(realProgress, 88) : 100;
+  const smoothed = useSmoothedProgress(target, mapped);

  if (status === "idle") return null;

@@ -1,4 +1,4 @@
-import { Fragment, useCallback, useEffect, useMemo, useRef, useState } from "react";
+import { Fragment, useCallback, useEffect, useMemo, useRef, useState } from "react";
 import "../../styles/pages/ecommerce-video.css";
 import {
  CloseOutlined,
@@ -11,7 +11,12 @@ import {
  SendOutlined,
  StopOutlined,
 } from "@ant-design/icons";
-import { runVideoPlan, renderSceneImage, renderScene, buildSceneTasks, saveVideoHistory } from "./ecommerceVideoService";
+import {
+  runVideoPlan,
+  buildSceneTasks,
+  saveVideoHistory,
+  buildComplianceFailureMessage,
+} from "./ecommerceVideoService";
 import {
  PLAN_STEP_LABELS,
  PLAN_STEPS_DISPLAY,
@@ -22,7 +27,6 @@ import {
  type PlanStep,
 } from "./ecommerceVideoTypes";
 import type { AdVideoUserConfig } from "../../api/adVideoPlanClient";
-import { ServerRequestError } from "../../api/serverConnection";
 import { saveToolResultToLocal, addToolResultToAssetLibrary } from "../workbench/toolResultActions";
 import { useAppStore } from "../../stores";
 import { useGenerationTasks } from "../../hooks/useGenerationTasks";
@@ -32,6 +36,7 @@ import {
  clearEcommerceVideoState,
 } from "./ecommerceVideoKeepalive";
 import { saveUnifiedEcommerceGenerationRecord } from "./ecommerceGenerationPersistence";
+import { useVideoSceneRunner } from "./useVideoSceneRunner";

 interface EcommerceVideoWorkspaceProps {
  isAuthenticated: boolean;
@@ -70,9 +75,11 @@ function buildInputFingerprint(input: {
  durationSeconds: number;
  resolution: string;
 }): string {
-  const imageCount = input.productImageDataUrls.length;
+  const imageSignature = input.productImageDataUrls
+    .map((source) => `${source.length}:${hashString(source)}`)
+    .join("|");
  return hashString([
-    String(imageCount),
+    imageSignature,
    input.requirement.trim(),
    input.platform,
    input.aspectRatio,
@@ -81,6 +88,10 @@ function buildInputFingerprint(input: {
  ].join("::"));
 }

+function planAllowsVideoGeneration(plan: EcommerceVideoPlanResult | null): boolean {
+  return plan?.compliance.allow_video_generation !== false;
+}
+
 function mapResolutionToQuality(res: string): "720P" | "1080P" {
  return res.includes("720") ? "720P" : "1080P";
 }
@@ -124,8 +135,6 @@ export default function EcommerceVideoWorkspace({
  const [actionNotice, setActionNotice] = useState<string | null>(null);
  const [previewMedia, setPreviewMedia] = useState<{ url: string; type: "image" | "video" } | null>(null);
  const [flowZoom, setFlowZoom] = useState(1);
-  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);
@@ -137,6 +146,28 @@ export default function EcommerceVideoWorkspace({
    [productImageDataUrls, requirement, platform, aspectRatio, durationSeconds, resolution],
  );

+  const {
+    abortControllerRef,
+    renderAbortRef,
+    runImagePhase,
+    runVideoPhase,
+    resumePolling,
+    cancel,
+    retryScene,
+  } = useVideoSceneRunner({
+    inputFingerprint,
+    planResult,
+    completedSteps,
+    sourceImageUrls,
+    aspectRatio,
+    resolution,
+    generation: generation as unknown as Parameters<typeof useVideoSceneRunner>[0]["generation"],
+    sceneStoreIdMap,
+    onScenesChange: setScenes,
+    onStageChange: setStage,
+    onError: setError,
+  });
+
  // ── Keep-alive: restore saved state on mount ─────────────
  useEffect(() => {
    if (keepaliveRestoredFingerprintRef.current === inputFingerprint) return;
@@ -163,11 +194,15 @@ export default function EcommerceVideoWorkspace({
  useEffect(() => {
    const delay = 600;
    if (stage === "planned" && planResult && scenes.length > 0) {
-      const timer = setTimeout(() => { void handleGenerateImages(); }, delay);
+      if (!planAllowsVideoGeneration(planResult)) {
+        setError(buildComplianceFailureMessage(planResult.compliance));
+        return;
+      }
+      const timer = setTimeout(() => { void runImagePhase(scenes); }, delay);
      return () => clearTimeout(timer);
    }
    if (stage === "imaged" && scenes.every((s) => s.imageUrl)) {
-      const timer = setTimeout(() => { void handleRenderVideos(); }, delay);
+      const timer = setTimeout(() => { void runVideoPhase(scenes); }, delay);
      return () => clearTimeout(timer);
    }
  }, [stage, scenes, planResult]);
@@ -284,82 +319,11 @@ export default function EcommerceVideoWorkspace({
  useEffect(() => {
    if (keepalivePollingStartedRef.current) return;
    if (!scenes.length || stage === "idle" || stage === "cancelled" || stage === "completed") return;
-
    const hasRunningScenes = scenes.some((s) => s.status === "running" || s.status === "pending");
    if (!hasRunningScenes) return;
    keepalivePollingStartedRef.current = true;
-
-    // Resume polling for image generation tasks
-    if (stage === "imaging") {
-      renderAbortRef.current = { current: false };
-      void (async () => {
-        for (const scene of scenes) {
-          if (renderAbortRef.current.current) break;
-          if (scene.status !== "running" && scene.status !== "pending") continue;
-          if (!scene.imageTaskId) continue;
-          try {
-            const { waitForTask } = await import("../../api/taskSubscription");
-            const resultUrl = await waitForTask(scene.imageTaskId, {
-              abortRef: renderAbortRef.current,
-              onProgress: (e) =>
-                setScenes((prev) => prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, progress: e.progress } : s))),
-            });
-            if (resultUrl) {
-              setScenes((prev) =>
-                prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, status: "idle", progress: 100, imageUrl: resultUrl } : s)),
-              );
-            }
-          } catch {
-            setScenes((prev) =>
-              prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, status: "idle", error: "恢复任务失败" } : s)),
-            );
-          }
-        }
-        setScenes((current) => {
-          const allImaged = current.every((s) => s.imageUrl);
-          if (allImaged) setStage("imaged");
-          return current;
-        });
-      })();
-    }
-
-    // Resume polling for video rendering tasks
-    if (stage === "rendering") {
-      renderAbortRef.current = { current: false };
-      void (async () => {
-        for (const scene of scenes) {
-          if (renderAbortRef.current.current) break;
-          if (scene.status !== "running" && scene.status !== "pending") continue;
-          if (!scene.taskId) continue;
-          try {
-            const { waitForTask } = await import("../../api/taskSubscription");
-            const resultUrl = await waitForTask(scene.taskId, {
-              abortRef: renderAbortRef.current,
-              onProgress: (e) =>
-                setScenes((prev) => prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, progress: e.progress } : s))),
-            });
-            if (resultUrl) {
-              setScenes((prev) =>
-                prev.map((s) =>
-                  s.sceneId === scene.sceneId ? { ...s, status: "completed", progress: 100, resultUrl: resultUrl } : s,
-                ),
-              );
-            }
-          } catch {
-            setScenes((prev) =>
-              prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, status: "failed", error: "恢复任务失败" } : s)),
-            );
-          }
-        }
-        setScenes((current) => {
-          const hasFailed = current.some((s) => s.status === "failed");
-          const allDone = current.every((s) => s.status === "completed" || s.status === "failed");
-          if (allDone) setStage(hasFailed ? "partial_failed" : "completed");
-          return current;
-        });
-      })();
-    }
-  }, [scenes, stage]);
+    void resumePolling(stage, scenes);
+  }, [scenes, stage, resumePolling]);

  // Note: keep-alive is NOT cleared on completion — results persist across page switches.
  // Only cleared when user explicitly starts a new plan via handlePlan.
@@ -468,6 +432,7 @@ export default function EcommerceVideoWorkspace({
    let liveCompletedSteps: PlanStep[] = resume
      ? ALL_STEPS.filter((s) => stepCompletedFromProgress(s, resume))
      : [];
+    let liveCurrentStep: PlanStep | null = null;
    const persist = (stageNow: EcommerceVideoStage) => {
      saveEcommerceVideoState({
        inputFingerprint,
@@ -484,7 +449,10 @@ export default function EcommerceVideoWorkspace({
      const result = await runVideoPlan(
        productImageSources, requirement, buildConfig(),
        {
-          onStepStart: (step) => setCurrentStep(step),
+          onStepStart: (step) => {
+            liveCurrentStep = step;
+            setCurrentStep(step);
+          },
          onStepDone: (step) => {
            liveCompletedSteps = [...liveCompletedSteps, step];
            setCompletedSteps((prev) => [...prev, step]);
@@ -517,7 +485,7 @@ export default function EcommerceVideoWorkspace({
      const message = err instanceof Error ? err.message : "策划失败";
      setError(message);
      // Mark the step that was in-progress as failed so user can resume
-      setFailedStep((prev) => prev || currentStep);
+      setFailedStep((prev) => prev || liveCurrentStep);
      setStage("idle");
      // Persist partial progress so the user can resume after a page switch
      persist("idle");
@@ -526,8 +494,8 @@ export default function EcommerceVideoWorkspace({

  const handlePlan = async () => {
    if (!isAuthenticated) { onRequestLogin?.(); return; }
-    if (!productImageDataUrls.length && !requirement.trim()) {
-      setError("请先上传产品图片或填写商品说明"); return;
+    if (!productImageDataUrls.length) {
+      setError("请先上传商品图片"); return;
    }
    await runPlanFlow(null);
  };
@@ -538,140 +506,9 @@ export default function EcommerceVideoWorkspace({
    await runPlanFlow(planProgress);
  };

-  // ── Phase 2: Image generation per scene ──────────────────────

-  const handleGenerateImages = async () => {
-    if (!planResult || !scenes.length) return;
-    setStage("imaging"); setError(null);
-    renderAbortRef.current = { current: false };
-    const ratio = aspectRatio.includes("9:16") || aspectRatio.includes("9：16") ? "9:16"
-      : aspectRatio.includes("16:9") || aspectRatio.includes("16：9") ? "16:9"
-      : "1:1";
-    let currentScenes = [...scenes];
-    const persistScenes = (next: EcommerceVideoSceneTask[]) => {
-      currentScenes = next;
-      setScenes(next);
-      saveEcommerceVideoState({ inputFingerprint, stage: "imaging", completedSteps, planResult, scenes: next, sourceImageUrls });
-    };
-    // Only redo scenes missing imageUrl — preserves successfully generated images on partial retry
-    const scenesToProcess = currentScenes.filter((s) => !s.imageUrl);
-    if (!scenesToProcess.length) { setStage("imaged"); return; }
-    for (const scene of scenesToProcess) {
-      if (renderAbortRef.current.current) break;
-      persistScenes(currentScenes.map((s) => s.sceneId === scene.sceneId ? { ...s, status: "pending", error: undefined } : s));
-      try {
-        await renderSceneImage(
-          { sceneId: scene.sceneId, prompt: scene.prompt, aspectRatio: ratio, productImageUrls: sourceImageUrls },
-          {
-            onSceneImageSubmitted: (id, taskId) => {
-            persistScenes(currentScenes.map((s) => s.sceneId === id ? { ...s, imageTaskId: taskId, status: "running" } : s));
-            const storeId = generation.submitTask({ title: `分镜${id}图片`, type: "image", status: "running", progress: 0, prompt: scene.prompt, sourceView: "ecommerce", taskId, params: { sceneId: id, phase: "imaging" } });
-            sceneStoreIdMap.current.set(id, storeId);
-          },
-            onSceneImageProgress: (id, progress) => persistScenes(currentScenes.map((s) => s.sceneId === id ? { ...s, progress } : s)),
-          onSceneImageCompleted: (id, url) => {
-            persistScenes(currentScenes.map((s) => s.sceneId === id ? { ...s, status: "idle", progress: 100, imageUrl: url } : s));
-            const sid = sceneStoreIdMap.current.get(id);
-            if (sid) generation.markCompleted(sid, url);
-          },
-          onSceneImageFailed: (id, err2) => {
-            persistScenes(currentScenes.map((s) => s.sceneId === id ? { ...s, status: "idle", error: err2 } : s));
-            const sid = sceneStoreIdMap.current.get(id);
-            if (sid) generation.markFailed(sid, err2);
-          },
-          },
-          renderAbortRef.current,
-        );
-      } catch (err) {
-        const message = err instanceof Error ? err.message : "图片生成失败";
-        persistScenes(currentScenes.map((s) => s.sceneId === scene.sceneId ? { ...s, status: "idle", error: message } : s));
-      }
-    }
-    const allHaveImages = currentScenes.every((s) => s.imageUrl);
-    const finalStage = allHaveImages ? "imaged" as const : "partial_failed" as const;
-    setStage(finalStage);
-    saveEcommerceVideoState({ inputFingerprint, stage: finalStage, completedSteps, planResult, scenes: currentScenes, sourceImageUrls });
-  };

-  // ── Phase 3: Video rendering from generated images ──────────

-  const handleRenderVideos = async () => {
-    if (!scenes.length) return;
-    if (!scenes.some((s) => s.imageUrl)) { setError("请先生成分镜图片"); return; }
-    setStage("rendering"); setError(null);
-    renderAbortRef.current = { current: false };
-    const quality = mapResolutionToQuality(resolution);
-    let currentScenes = [...scenes];
-    const persistScenes = (next: EcommerceVideoSceneTask[]) => {
-      currentScenes = next;
-      setScenes(next);
-      saveEcommerceVideoState({ inputFingerprint, stage: "rendering", completedSteps, planResult, scenes: next, sourceImageUrls });
-    };
-    // Only render scenes that haven't completed yet — preserves successful videos on partial retry
-    const scenesToProcess = currentScenes.filter((s) => s.imageUrl && s.status !== "completed");
-    if (!scenesToProcess.length) { setStage(currentScenes.every((s) => s.status === "completed") ? "completed" : "partial_failed"); return; }
-    for (const scene of scenesToProcess) {
-      if (renderAbortRef.current.current) break;
-      if (!scene.imageUrl) continue;
-      persistScenes(currentScenes.map((s) => s.sceneId === scene.sceneId ? { ...s, status: "pending", error: undefined } : s));
-      try {
-        await renderScene(
-          { sceneId: scene.sceneId, prompt: scene.prompt, durationSeconds: scene.durationSeconds, imageUrl: scene.imageUrl, productImageUrls: sourceImageUrls, aspectRatio, resolution: quality },
-          {
-            onSceneSubmitted: (id, taskId) => {
-              persistScenes(currentScenes.map((s) => s.sceneId === id ? { ...s, taskId, status: "running" } : s));
-              const storeId = generation.submitTask({ title: `分镜${id}视频`, type: "video", status: "running", progress: 0, prompt: scene.prompt, sourceView: "ecommerce", taskId, params: { sceneId: id, phase: "rendering" } });
-              sceneStoreIdMap.current.set(id, storeId);
-            },
-            onSceneProgress: (id, progress) => persistScenes(currentScenes.map((s) => s.sceneId === id ? { ...s, progress } : s)),
-            onSceneCompleted: (id, url) => {
-              persistScenes(currentScenes.map((s) => s.sceneId === id ? { ...s, status: "completed", progress: 100, resultUrl: url } : s));
-              const sid = sceneStoreIdMap.current.get(id);
-              if (sid) generation.markCompleted(sid, url);
-            },
-            onSceneFailed: (id, err2) => {
-              persistScenes(currentScenes.map((s) => s.sceneId === id ? { ...s, status: "failed", error: err2 } : s));
-              const sid = sceneStoreIdMap.current.get(id);
-              if (sid) generation.markFailed(sid, err2);
-            },
-          },
-          renderAbortRef.current,
-        );
-      } catch (err) {
-        const msg = err instanceof Error ? err.message : "生成失败";
-        const isPayment = err instanceof ServerRequestError && err.status === 402;
-        persistScenes(currentScenes.map((s) => s.sceneId === scene.sceneId ? { ...s, status: "failed", error: isPayment ? "余额不足，请充值后继续" : msg } : s));
-        if (isPayment) { setError("余额不足，请充值后再生成视频"); renderAbortRef.current.current = true; break; }
-      }
-    }
-    const hasFailed = currentScenes.some((s) => s.status === "failed");
-    const allDone = currentScenes.every((s) => s.status === "completed" || s.status === "failed");
-    const finalStage = allDone ? (hasFailed ? "partial_failed" as const : "completed" as const) : "rendering" as const;
-    setScenes(currentScenes);
-    setStage(finalStage);
-    saveEcommerceVideoState({ inputFingerprint, stage: finalStage, completedSteps, planResult, scenes: currentScenes, sourceImageUrls });
-  };
-
-  const handleCancel = () => { abortControllerRef.current?.abort(); renderAbortRef.current.current = true; setStage("cancelled"); };
-
-  const handleRetryScene = async (scene: EcommerceVideoSceneTask) => {
-    if (!scene.imageUrl) return;
-    setScenes((prev) => prev.map((s) => s.sceneId === scene.sceneId ? { ...s, status: "pending", error: undefined } : s));
-    try {
-      await renderScene(
-        { sceneId: scene.sceneId, prompt: scene.prompt, durationSeconds: scene.durationSeconds, imageUrl: scene.imageUrl!, productImageUrls: sourceImageUrls, aspectRatio, resolution: mapResolutionToQuality(resolution) },
-        {
-          onSceneSubmitted: (id, taskId) => setScenes((prev) => prev.map((s) => s.sceneId === id ? { ...s, taskId, status: "running" } : s)),
-          onSceneProgress: (id, progress) => setScenes((prev) => prev.map((s) => s.sceneId === id ? { ...s, progress } : s)),
-          onSceneCompleted: (id, url) => setScenes((prev) => prev.map((s) => s.sceneId === id ? { ...s, status: "completed", progress: 100, resultUrl: url } : s)),
-          onSceneFailed: (id, err2) => setScenes((prev) => prev.map((s) => s.sceneId === id ? { ...s, status: "failed", error: err2 } : s)),
-        },
-        renderAbortRef.current,
-      );
-    } catch (err) {
-      setScenes((prev) => prev.map((s) => s.sceneId === scene.sceneId ? { ...s, status: "failed", error: (err as Error).message } : s));
-    }
-  };

  // ── Derived state ───────────────────────────────────────────

@@ -721,13 +558,13 @@ export default function EcommerceVideoWorkspace({
          ) : null}
          {stage === "planned" || stage === "imaged" ? (
            <button type="button" className="ecom-video-flow-action ecom-video-flow-action--ghost"
-              onClick={() => void handleGenerateImages()} title={stage === "imaged" ? "重新生成分镜图" : "生成图片"}>
+              onClick={() => void runImagePhase(scenes)} title={stage === "imaged" ? "重新生成分镜图" : "生成图片"}>
              {stage === "imaged" ? <ReloadOutlined /> : <SendOutlined />}
            </button>
          ) : null}
          {stage === "imaged" || (stage === "partial_failed" && imagedScenes.length > 0) ? (
            <button type="button" className="ecom-video-flow-action ecom-video-flow-action--ghost"
-              onClick={() => void handleRenderVideos()} title={stage === "partial_failed" ? "重新生成失败的视频" : "生成视频"}>
+              onClick={() => void runVideoPhase(scenes)} title={stage === "partial_failed" ? "重新生成失败的视频" : "生成视频"}>
              <SendOutlined />
            </button>
          ) : null}
@@ -741,7 +578,7 @@ export default function EcommerceVideoWorkspace({
            <span className="ecom-video-flowbar__stage-label"><LoadingOutlined /> 生成视频中</span>
          ) : null}
          {stage === "planning" || stage === "imaging" || stage === "rendering" ? (
-            <button type="button" className="ecom-video-flow-action ecom-video-flow-action--danger" onClick={handleCancel} title="终止">
+            <button type="button" className="ecom-video-flow-action ecom-video-flow-action--danger" onClick={cancel} title="终止">
              <StopOutlined />
            </button>
          ) : null}
@@ -830,7 +667,7 @@ export default function EcommerceVideoWorkspace({
                      <span className="ecom-video-tree-node__tag">分镜视频{scene.sceneId}</span>
                      {vidFailed ? (
                        <button type="button" className="ecom-video-tree-node__retry"
-                          onClick={(e) => { e.stopPropagation(); void handleRetryScene(scene); }}
+                          onClick={(e) => { e.stopPropagation(); void retryScene(scene); }}
                          title="重试此镜头">
                          <ReloadOutlined />
                        </button>
@@ -0,0 +1 @@
+export * from "./ecommerceGenerationPersistence.ts";
@@ -0,0 +1 @@
+export * from "./ecommerceImageValidation.ts";
@@ -0,0 +1,90 @@
+import { describe, it, expect } from "vitest";
+import {
+  validateEcommerceImageFiles,
+  summarizeRejectedImages,
+  normalizeEcommerceImageMime,
+  ECOMMERCE_MAX_IMAGE_BYTES,
+} from "./ecommerceImageValidation";
+
+function makeFile(name: string, type: string, size: number): File {
+  return new File([new Uint8Array(size)], name, { type });
+}
+
+describe("validateEcommerceImageFiles", () => {
+  it("accepts supported types under the size limit", () => {
+    const result = validateEcommerceImageFiles([
+      makeFile("a.png", "image/png", 1024),
+      makeFile("b.jpg", "image/jpeg", 1024),
+      makeFile("c.webp", "image/webp", 1024),
+      makeFile("d.gif", "image/gif", 1024),
+    ]);
+    expect(result.accepted).toHaveLength(4);
+    expect(result.rejected).toHaveLength(0);
+  });
+
+  it("rejects unsupported mime types", () => {
+    const result = validateEcommerceImageFiles([makeFile("x.bmp", "image/bmp", 1024)]);
+    expect(result.accepted).toHaveLength(0);
+    expect(result.rejected[0]).toMatchObject({ name: "x.bmp", reason: "不支持的图片格式" });
+  });
+
+  it("rejects files over 10MB", () => {
+    const result = validateEcommerceImageFiles([
+      makeFile("big.png", "image/png", ECOMMERCE_MAX_IMAGE_BYTES + 1),
+    ]);
+    expect(result.accepted).toHaveLength(0);
+    expect(result.rejected[0]).toMatchObject({ name: "big.png", reason: "图片超过 10MB" });
+  });
+
+  it("accepts exactly 10MB (boundary)", () => {
+    const result = validateEcommerceImageFiles([
+      makeFile("edge.png", "image/png", ECOMMERCE_MAX_IMAGE_BYTES),
+    ]);
+    expect(result.accepted).toHaveLength(1);
+  });
+
+  it("partitions a mixed batch", () => {
+    const result = validateEcommerceImageFiles([
+      makeFile("ok.png", "image/png", 100),
+      makeFile("bad.bmp", "image/bmp", 100),
+      makeFile("huge.jpg", "image/jpeg", ECOMMERCE_MAX_IMAGE_BYTES + 1),
+    ]);
+    expect(result.accepted).toHaveLength(1);
+    expect(result.rejected).toHaveLength(2);
+  });
+});
+
+describe("summarizeRejectedImages", () => {
+  it("returns empty string for no rejections", () => {
+    expect(summarizeRejectedImages([])).toBe("");
+  });
+
+  it("summarizes a single rejection", () => {
+    expect(summarizeRejectedImages([{ name: "a.bmp", reason: "不支持的图片格式" }])).toBe(
+      "a.bmp 已跳过：不支持的图片格式",
+    );
+  });
+
+  it("appends count suffix for multiple rejections", () => {
+    const summary = summarizeRejectedImages([
+      { name: "a.bmp", reason: "不支持的图片格式" },
+      { name: "b.bmp", reason: "不支持的图片格式" },
+    ]);
+    expect(summary).toBe("a.bmp 等 2 个文件 已跳过：不支持的图片格式");
+  });
+});
+
+describe("normalizeEcommerceImageMime", () => {
+  it("passes through supported types", () => {
+    expect(normalizeEcommerceImageMime("image/png")).toBe("image/png");
+    expect(normalizeEcommerceImageMime("image/jpeg")).toBe("image/jpeg");
+    expect(normalizeEcommerceImageMime("image/webp")).toBe("image/webp");
+    expect(normalizeEcommerceImageMime("image/gif")).toBe("image/gif");
+  });
+
+  it("falls back to image/png for unsupported or empty types", () => {
+    expect(normalizeEcommerceImageMime("image/bmp")).toBe("image/png");
+    expect(normalizeEcommerceImageMime("")).toBe("image/png");
+    expect(normalizeEcommerceImageMime("application/octet-stream")).toBe("image/png");
+  });
+});
@@ -0,0 +1 @@
+export * from "./ecommerceTemplates.ts";
@@ -11,6 +11,7 @@ import {
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { serverRequest } from "../../api/serverConnection";
 import { waitForTask } from "../../api/taskSubscription";
+import { ENTERPRISE_DEFAULT_VIDEO_MODEL } from "../../utils/enterpriseVideoPolicy";
 import { resolveVideoRequestModel } from "../../utils/resolveVideoModel";
 import { ecommerceOssScopes } from "./ecommerceGenerationPersistence";
 import { normalizeEcommerceImageMime } from "./ecommerceImageValidation";
@@ -130,6 +131,18 @@ export interface PlanCallbacks {

 const LOCAL_PREVIEW_MISSING_FILE_MESSAGE = "Please re-upload the product image before generating the short video.";

+export function buildComplianceFailureMessage(compliance: NonNullable<EcommerceVideoPlanProgress["compliance"]>): string {
+  const issues = compliance.issues
+    .slice(0, 3)
+    .map((issue) => [issue.field, issue.problem, issue.suggestion].filter(Boolean).join("："))
+    .filter(Boolean)
+    .join("；");
+
+  return issues
+    ? `合规检查未通过，已停止生成。${issues}`
+    : "合规检查未通过，已停止生成。请修改商品说明或广告文案后重试。";
+}
+
 function readBlobAsDataUrl(blob: Blob): Promise<string> {
  return new Promise((resolve, reject) => {
    const reader = new FileReader();
@@ -271,6 +284,10 @@ export async function runVideoPlan(
    emit();
  }

+  if (progress.compliance.allow_video_generation === false) {
+    throw new Error(buildComplianceFailureMessage(progress.compliance));
+  }
+
  return {
    imageUrls: progress.imageUrls!,
    imageDescription: progress.imageDescription,
@@ -303,7 +320,6 @@ export async function renderSceneImage(
  abortRef: { current: boolean },
 ): Promise<void> {
  const { taskId } = await aiGenerationClient.createImageTask({
-    model: "gpt-image-2",
    prompt: input.prompt,
    ratio: input.aspectRatio,
    quality: "2K",
@@ -315,7 +331,6 @@ export async function renderSceneImage(
  const resultUrl = await waitForTask(taskId, {
    abortRef,
    kind: "image",
-    model: "gpt-image-2",
    onProgress: (e) => callbacks.onSceneImageProgress(input.sceneId, e.progress),
  });

@@ -351,7 +366,7 @@ export async function renderScene(
 ): Promise<void> {
  const allReferenceUrls = [...input.productImageUrls, input.imageUrl];
  const model = resolveVideoRequestModel({
-    model: input.model || "happyhorse-1.0",
+    model: input.model || ENTERPRISE_DEFAULT_VIDEO_MODEL,
    referenceUrls: allReferenceUrls,
  });

@@ -381,108 +381,6 @@ export default function EcommerceClonePanel({
          </section>
        ) : null}

-        {cloneOutput === "hot" ? (
-          <section className="clone-ai-replicate-panel" aria-label="爆款图复刻设置">
-            <div className="clone-ai-dynamic-head">
-              <strong>爆款图参考设置</strong>
-              <span>随生成模式切换</span>
-            </div>
-            <div className="clone-ai-replicate-section">
-              <span className="clone-ai-replicate-title">参考内容</span>
-              <div className="clone-ai-replicate-tabs" role="tablist" aria-label="参考内容来源">
-                <button
-                  type="button"
-                  className={cloneReferenceMode === "upload" ? "is-active" : ""}
-                  aria-selected={cloneReferenceMode === "upload"}
-                  onClick={() => setCloneReferenceMode("upload")}
-                >
-                  上传参考图
-                </button>
-                <button
-                  type="button"
-                  className={cloneReferenceMode === "link" ? "is-active" : ""}
-                  aria-selected={cloneReferenceMode === "link"}
-                  onClick={() => setCloneReferenceMode("link")}
-                >
-                  导入链接
-                </button>
-              </div>
-              {cloneReferenceMode === "upload" ? (
-                <button
-                  type="button"
-                  className={`clone-ai-replicate-upload${isCloneReferenceDragging ? " is-dragging" : ""}${cloneReferenceImages.length ? " has-files" : ""}`}
-                  onClick={() => cloneReferenceInputRef.current?.click()}
-                  onDragOver={handleCloneReferenceDragOver}
-                  onDragLeave={handleCloneReferenceDragLeave}
-                  onDrop={handleCloneReferenceDrop}
-                >
-                  {cloneReferenceImages.length ? (
-                    <>
-                      <div className="clone-ai-replicate-files">
-                        {cloneReferenceImages.map((item) => (
-                          <figure
-                            key={item.id}
-                            className="clone-ai-replicate-file"
-                            onMouseEnter={(e) => handleFileMouseEnter(item.src, e)}
-                            onMouseLeave={handleFileMouseLeave}
-                          >
-                            <img src={item.src} alt="" />
-                          </figure>
-                        ))}
-                      </div>
-                      <span className="clone-ai-replicate-add-more">
-                        <CloudUploadOutlined />
-                        点击继续上传文件
-                      </span>
-                    </>
-                  ) : (
-                    <span>
-                      <CloudUploadOutlined />
-                      <span className="clone-ai-replicate-upload-text">拖拽或点击上传参考图</span>
-                    </span>
-                  )}
-                  <em>{cloneReferenceImages.length ? `已选 ${cloneReferenceImages.length}/${maxCloneReferenceImages}` : `最多 ${maxCloneReferenceImages} 张`}</em>
-                  {isCloneReferenceDragging ? (
-                    <div className="clone-ai-replicate-upload-overlay">
-                      <CloudUploadOutlined />
-                      <span>释放文件以上传</span>
-                    </div>
-                  ) : null}
-                </button>
-              ) : (
-                <label className="clone-ai-replicate-link">
-                  <input placeholder="粘贴商品图或详情页链接" />
-                </label>
-              )}
-              <input
-                ref={cloneReferenceInputRef}
-                type="file"
-                accept="image/jpeg,image/png,image/webp"
-                multiple
-                onChange={handleCloneReferenceUpload}
-                aria-label="上传参考图片"
-              />
-            </div>
-            <div className="clone-ai-replicate-section">
-              <span className="clone-ai-replicate-title">复刻程度</span>
-              <div className="clone-ai-replicate-levels" role="toolbar" aria-label="复刻程度">
-                {cloneReplicateLevelOptions.map((option) => (
-                  <button
-                    key={option.key}
-                    type="button"
-                    className={cloneReplicateLevel === option.key ? "is-active" : ""}
-                    aria-pressed={cloneReplicateLevel === option.key}
-                    onClick={() => setCloneReplicateLevel(option.key)}
-                  >
-                    <strong>{option.title}</strong>
-                    <span>{option.desc}</span>
-                  </button>
-                ))}
-              </div>
-            </div>
-          </section>
-        ) : null}
-
        {cloneOutput === "set" ? (
          <section className="clone-ai-count-panel" aria-label="套图图片数量">
            <div className="clone-ai-dynamic-head">
@@ -0,0 +1,480 @@
+// 视频场景任务编排 hook。
+// 从 EcommerceVideoWorkspace.tsx 抽出，封装"分镜图片生成 / 视频渲染 / 恢复轮询 / 取消"
+// 四类场景任务的执行逻辑，消除组件内 persistScenes 闭包的重复。
+//
+// 运行时行为与原组件逻辑等价（setScenes/setStage/saveEcommerceVideoState 的调用顺序和参数不变）；
+// 抽离目的是建立逻辑边界，让 resume 与正常执行共享同一套遍历。
+
+import { useCallback, useRef } from "react";
+import type { MutableRefObject } from "react";
+import {
+  renderSceneImage,
+  renderScene,
+} from "./ecommerceVideoService";
+import { waitForTask } from "../../api/taskSubscription";
+import { ServerRequestError } from "../../api/serverConnection";
+import { ENTERPRISE_DEFAULT_VIDEO_MODEL } from "../../utils/enterpriseVideoPolicy";
+import { resolveVideoRequestModel } from "../../utils/resolveVideoModel";
+import {
+  saveEcommerceVideoState,
+} from "./ecommerceVideoKeepalive";
+import type {
+  EcommerceVideoSceneTask,
+  EcommerceVideoStage,
+  EcommerceVideoPlanResult,
+  PlanStep,
+} from "./ecommerceVideoTypes";
+
+type SetStateAction<T> = T | ((prev: T) => T);
+
+export interface VideoSceneRunnerContext {
+  inputFingerprint: string;
+  planResult: EcommerceVideoPlanResult | null;
+  completedSteps: PlanStep[];
+  sourceImageUrls: string[];
+  aspectRatio: string;
+  resolution: string;
+  /** useGenerationTasks 实例，用于 submitTask/markCompleted/markFailed */
+  generation: {
+    submitTask: (task: Record<string, unknown> & { taskId: string }) => string;
+    markCompleted: (id: string, resultUrl?: string) => void;
+    markFailed: (id: string, error?: string) => void;
+  };
+  sceneStoreIdMap: MutableRefObject<Map<number, string>>;
+  onScenesChange: (updater: SetStateAction<EcommerceVideoSceneTask[]>) => void;
+  onStageChange: (stage: EcommerceVideoStage) => void;
+  onError?: (message: string) => void;
+}
+
+function mapResolutionToQuality(res: string): "720P" | "1080P" {
+  return res.includes("720") ? "720P" : "1080P";
+}
+
+function deriveAspectRatioToken(aspectRatio: string): string {
+  if (aspectRatio.includes("9:16") || aspectRatio.includes("9：16")) return "9:16";
+  if (aspectRatio.includes("16:9") || aspectRatio.includes("16：9")) return "16:9";
+  return "1:1";
+}
+
+export function useVideoSceneRunner(context: VideoSceneRunnerContext) {
+  const {
+    inputFingerprint,
+    planResult,
+    completedSteps,
+    sourceImageUrls,
+    aspectRatio,
+    resolution,
+    generation,
+    sceneStoreIdMap,
+    onScenesChange,
+    onStageChange,
+    onError,
+  } = context;
+
+  const abortControllerRef = useRef<AbortController | null>(null);
+  const renderAbortRef = useRef({ current: false });
+
+  // ── Image phase: generate per-scene images ──────────────────
+  const runImagePhase = useCallback(
+    async (scenes: EcommerceVideoSceneTask[]): Promise<void> => {
+      if (!planResult || !scenes.length) return;
+      const ratio = deriveAspectRatioToken(aspectRatio);
+      let currentScenes = [...scenes];
+
+      const persistScenes = (next: EcommerceVideoSceneTask[]) => {
+        currentScenes = next;
+        onScenesChange(next);
+        saveEcommerceVideoState({
+          inputFingerprint,
+          stage: "imaging",
+          completedSteps,
+          planResult,
+          scenes: next,
+          sourceImageUrls,
+        });
+      };
+
+      const scenesToProcess = currentScenes.filter((s) => !s.imageUrl);
+      if (!scenesToProcess.length) {
+        onStageChange("imaged");
+        saveEcommerceVideoState({
+          inputFingerprint,
+          stage: "imaged",
+          completedSteps,
+          planResult,
+          scenes: currentScenes,
+          sourceImageUrls,
+        });
+        return;
+      }
+
+      for (const scene of scenesToProcess) {
+        if (renderAbortRef.current.current) break;
+        persistScenes(
+          currentScenes.map((s) =>
+            s.sceneId === scene.sceneId ? { ...s, status: "pending", error: undefined } : s,
+          ),
+        );
+        try {
+          await renderSceneImage(
+            {
+              sceneId: scene.sceneId,
+              prompt: scene.prompt,
+              aspectRatio: ratio,
+              productImageUrls: sourceImageUrls,
+            },
+            {
+              onSceneImageSubmitted: (id, taskId) => {
+                persistScenes(
+                  currentScenes.map((s) => (s.sceneId === id ? { ...s, imageTaskId: taskId, status: "running" } : s)),
+                );
+                const storeId = generation.submitTask({
+                  title: `分镜${id}图片`,
+                  type: "image",
+                  status: "running",
+                  progress: 0,
+                  prompt: scene.prompt,
+                  sourceView: "ecommerce",
+                  taskId,
+                  params: { sceneId: id, phase: "imaging" },
+                });
+                sceneStoreIdMap.current.set(id, storeId);
+              },
+              onSceneImageProgress: (id, progress) =>
+                persistScenes(currentScenes.map((s) => (s.sceneId === id ? { ...s, progress } : s))),
+              onSceneImageCompleted: (id, url) => {
+                persistScenes(
+                  currentScenes.map((s) => (s.sceneId === id ? { ...s, status: "idle", progress: 100, imageUrl: url } : s)),
+                );
+                const sid = sceneStoreIdMap.current.get(id);
+                if (sid) generation.markCompleted(sid, url);
+              },
+              onSceneImageFailed: (id, err2) => {
+                persistScenes(
+                  currentScenes.map((s) => (s.sceneId === id ? { ...s, status: "idle", error: err2 } : s)),
+                );
+                const sid = sceneStoreIdMap.current.get(id);
+                if (sid) generation.markFailed(sid, err2);
+              },
+            },
+            renderAbortRef.current,
+          );
+        } catch (err) {
+          const message = err instanceof Error ? err.message : "图片生成失败";
+          persistScenes(
+            currentScenes.map((s) => (s.sceneId === scene.sceneId ? { ...s, status: "idle", error: message } : s)),
+          );
+        }
+      }
+
+      const allHaveImages = currentScenes.every((s) => s.imageUrl);
+      const finalStage: EcommerceVideoStage = allHaveImages ? "imaged" : "partial_failed";
+      onStageChange(finalStage);
+      saveEcommerceVideoState({
+        inputFingerprint,
+        stage: finalStage,
+        completedSteps,
+        planResult,
+        scenes: currentScenes,
+        sourceImageUrls,
+      });
+    },
+    [
+      planResult,
+      aspectRatio,
+      inputFingerprint,
+      completedSteps,
+      sourceImageUrls,
+      generation,
+      sceneStoreIdMap,
+      onScenesChange,
+      onStageChange,
+    ],
+  );
+
+  // ── Video phase: render per-scene videos ────────────────────
+  const runVideoPhase = useCallback(
+    async (scenes: EcommerceVideoSceneTask[]): Promise<void> => {
+      if (!scenes.length) return;
+      const quality = mapResolutionToQuality(resolution);
+      let currentScenes = [...scenes];
+
+      const persistScenes = (next: EcommerceVideoSceneTask[]) => {
+        currentScenes = next;
+        onScenesChange(next);
+        saveEcommerceVideoState({
+          inputFingerprint,
+          stage: "rendering",
+          completedSteps,
+          planResult,
+          scenes: next,
+          sourceImageUrls,
+        });
+      };
+
+      const scenesToProcess = currentScenes.filter((s) => s.imageUrl && s.status !== "completed");
+      if (!scenesToProcess.length) {
+        const finalStage: EcommerceVideoStage = currentScenes.every((s) => s.status === "completed")
+          ? "completed"
+          : "partial_failed";
+        onStageChange(finalStage);
+        saveEcommerceVideoState({
+          inputFingerprint,
+          stage: finalStage,
+          completedSteps,
+          planResult,
+          scenes: currentScenes,
+          sourceImageUrls,
+        });
+        return;
+      }
+
+      for (const scene of scenesToProcess) {
+        if (renderAbortRef.current.current) break;
+        if (!scene.imageUrl) continue;
+        persistScenes(
+          currentScenes.map((s) =>
+            s.sceneId === scene.sceneId ? { ...s, status: "pending", error: undefined } : s,
+          ),
+        );
+        try {
+          await renderScene(
+            {
+              sceneId: scene.sceneId,
+              prompt: scene.prompt,
+              durationSeconds: scene.durationSeconds,
+              imageUrl: scene.imageUrl,
+              productImageUrls: sourceImageUrls,
+              aspectRatio,
+              resolution: quality,
+            },
+            {
+              onSceneSubmitted: (id, taskId) => {
+                persistScenes(
+                  currentScenes.map((s) => (s.sceneId === id ? { ...s, taskId, status: "running" } : s)),
+                );
+                const storeId = generation.submitTask({
+                  title: `分镜${id}视频`,
+                  type: "video",
+                  status: "running",
+                  progress: 0,
+                  prompt: scene.prompt,
+                  sourceView: "ecommerce",
+                  taskId,
+                  params: { sceneId: id, phase: "rendering" },
+                });
+                sceneStoreIdMap.current.set(id, storeId);
+              },
+              onSceneProgress: (id, progress) =>
+                persistScenes(currentScenes.map((s) => (s.sceneId === id ? { ...s, progress } : s))),
+              onSceneCompleted: (id, url) => {
+                persistScenes(
+                  currentScenes.map((s) =>
+                    s.sceneId === id ? { ...s, status: "completed", progress: 100, resultUrl: url } : s,
+                  ),
+                );
+                const sid = sceneStoreIdMap.current.get(id);
+                if (sid) generation.markCompleted(sid, url);
+              },
+              onSceneFailed: (id, err2) => {
+                persistScenes(
+                  currentScenes.map((s) => (s.sceneId === id ? { ...s, status: "failed", error: err2 } : s)),
+                );
+                const sid = sceneStoreIdMap.current.get(id);
+                if (sid) generation.markFailed(sid, err2);
+              },
+            },
+            renderAbortRef.current,
+          );
+        } catch (err) {
+          const msg = err instanceof Error ? err.message : "生成失败";
+          const isPayment = err instanceof ServerRequestError && err.status === 402;
+          persistScenes(
+            currentScenes.map((s) =>
+              s.sceneId === scene.sceneId
+                ? { ...s, status: "failed", error: isPayment ? "余额不足，请充值后继续" : msg }
+                : s,
+            ),
+          );
+          if (isPayment) {
+            onError?.("余额不足，请充值后再生成视频");
+            renderAbortRef.current.current = true;
+            break;
+          }
+        }
+      }
+
+      const hasFailed = currentScenes.some((s) => s.status === "failed");
+      const allDone = currentScenes.every((s) => s.status === "completed" || s.status === "failed");
+      const finalStage: EcommerceVideoStage = allDone
+        ? hasFailed
+          ? "partial_failed"
+          : "completed"
+        : "rendering";
+      onScenesChange(currentScenes);
+      onStageChange(finalStage);
+      saveEcommerceVideoState({
+        inputFingerprint,
+        stage: finalStage,
+        completedSteps,
+        planResult,
+        scenes: currentScenes,
+        sourceImageUrls,
+      });
+    },
+    [
+      resolution,
+      inputFingerprint,
+      completedSteps,
+      planResult,
+      sourceImageUrls,
+      aspectRatio,
+      generation,
+      sceneStoreIdMap,
+      onScenesChange,
+      onStageChange,
+      onError,
+    ],
+  );
+
+  // ── Resume polling: re-attach waitForTask to running scenes ─
+  // Used when the page is restored from keep-alive. Differs from runImagePhase/runVideoPhase
+  // in that it does NOT create new tasks — it only polls existing imageTaskId/taskId.
+  const resumePolling = useCallback(
+    async (stage: EcommerceVideoStage, scenes: EcommerceVideoSceneTask[]): Promise<void> => {
+      renderAbortRef.current = { current: false };
+
+      if (stage === "imaging") {
+        for (const scene of scenes) {
+          if (renderAbortRef.current.current) break;
+          if (scene.status !== "running" && scene.status !== "pending") continue;
+          if (!scene.imageTaskId) continue;
+          try {
+            const resultUrl = await waitForTask(scene.imageTaskId, {
+              abortRef: renderAbortRef.current,
+              onProgress: (e) =>
+                onScenesChange((prev) =>
+                  prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, progress: e.progress } : s)),
+                ),
+            });
+            if (resultUrl) {
+              onScenesChange((prev) =>
+                prev.map((s) =>
+                  s.sceneId === scene.sceneId ? { ...s, status: "idle", progress: 100, imageUrl: resultUrl } : s,
+                ),
+              );
+            }
+          } catch {
+            onScenesChange((prev) =>
+              prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, status: "idle", error: "恢复任务失败" } : s)),
+            );
+          }
+        }
+        onScenesChange((current) => {
+          const allImaged = current.every((s) => s.imageUrl);
+          if (allImaged) onStageChange("imaged");
+          return current;
+        });
+      }
+
+      if (stage === "rendering") {
+        for (const scene of scenes) {
+          if (renderAbortRef.current.current) break;
+          if (scene.status !== "running" && scene.status !== "pending") continue;
+          if (!scene.taskId) continue;
+          try {
+            const resultUrl = await waitForTask(scene.taskId, {
+              abortRef: renderAbortRef.current,
+              onProgress: (e) =>
+                onScenesChange((prev) =>
+                  prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, progress: e.progress } : s)),
+                ),
+            });
+            if (resultUrl) {
+              onScenesChange((prev) =>
+                prev.map((s) =>
+                  s.sceneId === scene.sceneId
+                    ? { ...s, status: "completed", progress: 100, resultUrl: resultUrl }
+                    : s,
+                ),
+              );
+            }
+          } catch {
+            onScenesChange((prev) =>
+              prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, status: "failed", error: "恢复任务失败" } : s)),
+            );
+          }
+        }
+        onScenesChange((current) => {
+          const hasFailed = current.some((s) => s.status === "failed");
+          const allDone = current.every((s) => s.status === "completed" || s.status === "failed");
+          if (allDone) onStageChange(hasFailed ? "partial_failed" : "completed");
+          return current;
+        });
+      }
+    },
+    [onScenesChange, onStageChange],
+  );
+
+  // ── Cancel: abort planning + scene rendering ────────────────
+  const cancel = useCallback(() => {
+    abortControllerRef.current?.abort();
+    renderAbortRef.current.current = true;
+    onStageChange("cancelled");
+  }, [onStageChange]);
+
+  // ── Retry a single scene's video ────────────────────────────
+  const retryScene = useCallback(
+    async (scene: EcommerceVideoSceneTask): Promise<void> => {
+      if (!scene.imageUrl) return;
+      onScenesChange((prev) =>
+        prev.map((s) => (s.sceneId === scene.sceneId ? { ...s, status: "pending", error: undefined } : s)),
+      );
+      try {
+        await renderScene(
+          {
+            sceneId: scene.sceneId,
+            prompt: scene.prompt,
+            durationSeconds: scene.durationSeconds,
+            imageUrl: scene.imageUrl,
+            productImageUrls: sourceImageUrls,
+            aspectRatio,
+            resolution: mapResolutionToQuality(resolution),
+          },
+          {
+            onSceneSubmitted: (id, taskId) =>
+              onScenesChange((prev) => prev.map((s) => (s.sceneId === id ? { ...s, taskId, status: "running" } : s))),
+            onSceneProgress: (id, progress) =>
+              onScenesChange((prev) => prev.map((s) => (s.sceneId === id ? { ...s, progress } : s))),
+            onSceneCompleted: (id, url) =>
+              onScenesChange((prev) =>
+                prev.map((s) => (s.sceneId === id ? { ...s, status: "completed", progress: 100, resultUrl: url } : s)),
+              ),
+            onSceneFailed: (id, err2) =>
+              onScenesChange((prev) =>
+                prev.map((s) => (s.sceneId === id ? { ...s, status: "failed", error: err2 } : s)),
+              ),
+          },
+          renderAbortRef.current,
+        );
+      } catch (err) {
+        onScenesChange((prev) =>
+          prev.map((s) =>
+            s.sceneId === scene.sceneId ? { ...s, status: "failed", error: (err as Error).message } : s,
+          ),
+        );
+      }
+    },
+    [sourceImageUrls, aspectRatio, resolution, onScenesChange],
+  );
+
+  return {
+    abortControllerRef,
+    renderAbortRef,
+    runImagePhase,
+    runVideoPhase,
+    resumePolling,
+    cancel,
+    retryScene,
+  };
+}
@@ -0,0 +1,212 @@
+// 克隆 / 电商历史的本地持久化模块。
+// 从 EcommercePage.tsx 抽出，逻辑零改动。
+// 把 localStorage 读写 + 字段校验 + 默认值收口在此，页面只调用 read/write。
+//
+// 领域类型（CloneImageItem / CloneResult / CloneSavedSetting / EcommerceHistoryRecord
+// 及其依赖的 type alias）也定义在此并 export，因为它们本质上是"持久化数据契约"；
+// EcommercePage 从这里 re-import，避免循环依赖（类型 import 编译期擦除）。
+
+import type { CloneOutputKey } from "./platformRules";
+
+export type CloneSetCountKey = "selling" | "white" | "scene";
+export type CloneModelPanelTab = "scene" | "model";
+export type CloneVideoQualityKey = "standard" | "high" | "ultra";
+export type CloneReplicateLevelKey = "style" | "high";
+export type CloneReferenceMode = "upload" | "link";
+
+export interface CloneImageItem {
+  id: string;
+  src: string;
+  name: string;
+  file?: File;
+  width?: number;
+  height?: number;
+  format?: string;
+  mimeType?: string;
+  ossKey?: string;
+}
+
+export interface CloneResult {
+  id: string;
+  src: string;
+  label: string;
+  type?: "image" | "video";
+}
+
+export interface CloneSavedSetting {
+  id: string;
+  name: string;
+  savedAt: string;
+  output: CloneOutputKey;
+  platform: string;
+  market: string;
+  language: string;
+  ratio: string;
+  setCounts: Record<CloneSetCountKey, number>;
+  detailModules: string[];
+  modelPanelTab: CloneModelPanelTab;
+  modelScenes: string[];
+  modelCustomScene: string;
+  modelGender: string;
+  modelAge: string;
+  modelEthnicity: string;
+  modelBody: string;
+  modelAppearance: string;
+  videoQuality: CloneVideoQualityKey;
+  videoDurationSeconds: number;
+  videoSmart: boolean;
+  referenceMode?: CloneReferenceMode;
+  replicateLevel?: CloneReplicateLevelKey;
+  requirement: string;
+}
+
+export interface EcommerceHistoryRecord {
+  id: string;
+  title: string;
+  createdAt: number;
+  output: CloneOutputKey;
+  platform: string;
+  market: string;
+  language: string;
+  ratio: string;
+  requirement: string;
+  productImages: CloneImageItem[];
+  results: CloneResult[];
+  setResultImages: string[];
+  setCounts: Record<CloneSetCountKey, number>;
+  detailModules: string[];
+  modelScenes: string[];
+  referenceImages: CloneImageItem[];
+  replicateLevel: CloneReplicateLevelKey;
+}
+
+export const cloneLatestSettingStorageKey = "omniai.clone-ai.latest-setting";
+export const ecommerceHistoryStorageKey = "omniai.ecommerce.history.records";
+
+export const defaultCloneSetCounts: Record<CloneSetCountKey, number> = {
+  selling: 3,
+  white: 1,
+  scene: 3,
+};
+
+export const defaultCloneDetailModuleIds = ["hero", "selling", "usage", "angle", "scene", "detail"];
+
+export function isCloneImageItem(item: unknown): item is CloneImageItem {
+  const candidate = item as Partial<CloneImageItem>;
+  return typeof candidate.id === "string" && typeof candidate.src === "string" && typeof candidate.name === "string";
+}
+
+export function isCloneResult(item: unknown): item is CloneResult {
+  const candidate = item as Partial<CloneResult>;
+  return typeof candidate.id === "string" && typeof candidate.src === "string" && typeof candidate.label === "string";
+}
+
+export function isEcommerceHistoryRecord(item: unknown): item is EcommerceHistoryRecord {
+  const candidate = item as Partial<EcommerceHistoryRecord>;
+  return (
+    typeof candidate.id === "string" &&
+    typeof candidate.title === "string" &&
+    typeof candidate.createdAt === "number" &&
+    typeof candidate.output === "string" &&
+    typeof candidate.platform === "string" &&
+    typeof candidate.market === "string" &&
+    typeof candidate.language === "string" &&
+    typeof candidate.ratio === "string" &&
+    typeof candidate.requirement === "string" &&
+    Array.isArray(candidate.productImages) &&
+    candidate.productImages.every(isCloneImageItem) &&
+    Array.isArray(candidate.results) &&
+    candidate.results.every(isCloneResult)
+  );
+}
+
+export function isCloneSavedSetting(item: unknown): item is CloneSavedSetting {
+  const candidate = item as Partial<CloneSavedSetting>;
+  return (
+    typeof candidate.id === "string" &&
+    typeof candidate.name === "string" &&
+    typeof candidate.savedAt === "string" &&
+    typeof candidate.output === "string" &&
+    typeof candidate.platform === "string" &&
+    typeof candidate.market === "string" &&
+    typeof candidate.language === "string" &&
+    typeof candidate.ratio === "string" &&
+    typeof candidate.videoDurationSeconds === "number"
+  );
+}
+
+export function removeFilePayloadFromImages(images: CloneImageItem[]): CloneImageItem[] {
+  return images.map(({ id, src, name, width, height, format, mimeType, ossKey }) => ({
+    id,
+    src,
+    name,
+    width,
+    height,
+    format,
+    mimeType,
+    ossKey,
+  }));
+}
+
+export function normalizeEcommerceHistoryRecord(record: EcommerceHistoryRecord): EcommerceHistoryRecord {
+  return {
+    ...record,
+    productImages: removeFilePayloadFromImages(record.productImages),
+    referenceImages: removeFilePayloadFromImages(record.referenceImages ?? []),
+    results: record.results ?? [],
+    setResultImages: record.setResultImages ?? [],
+    setCounts: record.setCounts ?? defaultCloneSetCounts,
+    detailModules: record.detailModules ?? defaultCloneDetailModuleIds,
+    modelScenes: record.modelScenes ?? [],
+    replicateLevel: record.replicateLevel ?? "high",
+  };
+}
+
+export function readCloneLatestSetting(): CloneSavedSetting | null {
+  if (typeof window === "undefined") return null;
+  try {
+    const rawValue = window.localStorage.getItem(cloneLatestSettingStorageKey);
+    if (rawValue) {
+      const parsedValue: unknown = JSON.parse(rawValue);
+      if (isCloneSavedSetting(parsedValue)) return parsedValue;
+    }
+  } catch {
+    return null;
+  }
+  return null;
+}
+
+export function writeCloneLatestSetting(setting: CloneSavedSetting): void {
+  if (typeof window === "undefined") return;
+  window.localStorage.setItem(cloneLatestSettingStorageKey, JSON.stringify(setting));
+}
+
+export function clearCloneLatestSetting(): void {
+  if (typeof window === "undefined") return;
+  window.localStorage.removeItem(cloneLatestSettingStorageKey);
+}
+
+export function readEcommerceHistoryRecords(): EcommerceHistoryRecord[] {
+  if (typeof window === "undefined") return [];
+  try {
+    const rawValue = window.localStorage.getItem(ecommerceHistoryStorageKey);
+    if (!rawValue) return [];
+    const parsedValue: unknown = JSON.parse(rawValue);
+    if (!Array.isArray(parsedValue)) return [];
+    return parsedValue
+      .filter(isEcommerceHistoryRecord)
+      .map(normalizeEcommerceHistoryRecord)
+      .sort((a, b) => b.createdAt - a.createdAt)
+      .slice(0, 30);
+  } catch {
+    return [];
+  }
+}
+
+export function writeEcommerceHistoryRecords(records: EcommerceHistoryRecord[]): void {
+  if (typeof window === "undefined") return;
+  window.localStorage.setItem(
+    ecommerceHistoryStorageKey,
+    JSON.stringify(records.map(normalizeEcommerceHistoryRecord).slice(0, 30)),
+  );
+}
@@ -0,0 +1,122 @@
+import { describe, it, expect } from "vitest";
+import {
+  clampNumber,
+  normalizeHexColor,
+  hexToRgb,
+  rgbToHex,
+  parseSmartCutoutAspect,
+  parseSmartCutoutPercent,
+  hsvToRgb,
+  hexToHsv,
+} from "./colorUtils";
+
+describe("clampNumber", () => {
+  it("clamps below min", () => {
+    expect(clampNumber(-5, 0, 100)).toBe(0);
+  });
+  it("clamps above max", () => {
+    expect(clampNumber(200, 0, 100)).toBe(100);
+  });
+  it("passes through values in range", () => {
+    expect(clampNumber(50, 0, 100)).toBe(50);
+  });
+});
+
+describe("normalizeHexColor", () => {
+  it("normalizes a valid hex", () => {
+    expect(normalizeHexColor("#FF8800")).toBe("#ff8800");
+  });
+  it("accepts hex without leading #", () => {
+    expect(normalizeHexColor("ff8800")).toBe("#ff8800");
+  });
+  it("returns null for invalid hex", () => {
+    expect(normalizeHexColor("#fff")).toBeNull();
+    expect(normalizeHexColor("ggghhh")).toBeNull();
+    expect(normalizeHexColor("")).toBeNull();
+  });
+});
+
+describe("hex <-> rgb round-trip", () => {
+  const cases: Array<[string, { r: number; g: number; b: number }]> = [
+    ["#000000", { r: 0, g: 0, b: 0 }],
+    ["#ffffff", { r: 255, g: 255, b: 255 }],
+    ["#ff8800", { r: 255, g: 136, b: 0 }],
+    ["#2dd4bf", { r: 45, g: 212, b: 191 }],
+  ];
+  for (const [hex, rgb] of cases) {
+    it(`hexToRgb(${hex}) -> rgb`, () => {
+      expect(hexToRgb(hex)).toEqual(rgb);
+    });
+    it(`rgbToHex(${rgb.r},${rgb.g},${rgb.b}) -> ${hex}`, () => {
+      expect(rgbToHex(rgb.r, rgb.g, rgb.b)).toBe(hex);
+    });
+  }
+
+  it("hexToRgb returns null for invalid", () => {
+    expect(hexToRgb("nope")).toBeNull();
+  });
+
+  it("rgbToHex clamps out-of-range channels", () => {
+    expect(rgbToHex(300, -5, 128)).toBe(rgbToHex(255, 0, 128));
+  });
+});
+
+describe("parseSmartCutoutAspect", () => {
+  it("parses a W / H aspect string", () => {
+    expect(parseSmartCutoutAspect("295 / 413")).toBeCloseTo(295 / 413, 5);
+  });
+  it("handles decimals", () => {
+    expect(parseSmartCutoutAspect("1.5 / 2")).toBeCloseTo(0.75, 5);
+  });
+  it("returns null when no ratio pattern is present", () => {
+    expect(parseSmartCutoutAspect("not-a-ratio")).toBeNull();
+    expect(parseSmartCutoutAspect("")).toBeNull();
+  });
+  it("returns null for zero dimensions", () => {
+    expect(parseSmartCutoutAspect("0 / 100")).toBeNull();
+    expect(parseSmartCutoutAspect("100 / 0")).toBeNull();
+  });
+  it("ignores leading sign (regex only matches digits)", () => {
+    // The regex \d+ does not match '-', so "-1 / 2" parses as 1/2.
+    expect(parseSmartCutoutAspect("-1 / 2")).toBeCloseTo(0.5, 5);
+  });
+});
+
+describe("parseSmartCutoutPercent", () => {
+  it("parses a percentage", () => {
+    expect(parseSmartCutoutPercent("82%", 0.5)).toBeCloseTo(0.82, 5);
+  });
+  it("clamps to [0.05, 1]", () => {
+    expect(parseSmartCutoutPercent("150%", 0.5)).toBe(1);
+    expect(parseSmartCutoutPercent("1%", 0.5)).toBe(0.05);
+  });
+  it("returns fallback for non-numeric", () => {
+    expect(parseSmartCutoutPercent("abc", 0.5)).toBe(0.5);
+  });
+});
+
+describe("hsv <-> rgb", () => {
+  it("hsvToRgb of pure red", () => {
+    expect(hsvToRgb(0, 100, 100)).toEqual({ r: 255, g: 0, b: 0 });
+  });
+  it("hsvToRgb of pure green", () => {
+    expect(hsvToRgb(120, 100, 100)).toEqual({ r: 0, g: 255, b: 0 });
+  });
+  it("hsvToRgb of white (saturation 0)", () => {
+    expect(hsvToRgb(0, 0, 100)).toEqual({ r: 255, g: 255, b: 255 });
+  });
+
+  it("hexToHsv then hsvToRgb round-trips within ±2 (rounding)", () => {
+    const hex = "#2dd4bf";
+    const hsv = hexToHsv(hex);
+    const rgb = hsvToRgb(hsv.h, hsv.s, hsv.v);
+    const original = hexToRgb(hex)!;
+    expect(Math.abs(rgb.r - original.r)).toBeLessThanOrEqual(2);
+    expect(Math.abs(rgb.g - original.g)).toBeLessThanOrEqual(2);
+    expect(Math.abs(rgb.b - original.b)).toBeLessThanOrEqual(2);
+  });
+
+  it("hexToHsv of white", () => {
+    expect(hexToHsv("#ffffff")).toEqual({ h: 0, s: 0, v: 100 });
+  });
+});
@@ -0,0 +1,88 @@
+// 智能抠图 / 调色板用到的纯数值与颜色转换工具。
+// 从 EcommercePage.tsx 抽出，逻辑零改动，仅加 export 以便单测。
+
+export const clampNumber = (value: number, min: number, max: number) => Math.min(max, Math.max(min, value));
+
+export const normalizeHexColor = (value: string) => {
+  const clean = value.trim().replace(/^#/, "");
+  if (!/^[0-9a-fA-F]{6}$/.test(clean)) return null;
+  return `#${clean.toLowerCase()}`;
+};
+
+export const hexToRgb = (value: string) => {
+  const normalized = normalizeHexColor(value);
+  if (!normalized) return null;
+  const numeric = Number.parseInt(normalized.slice(1), 16);
+  return {
+    r: (numeric >> 16) & 255,
+    g: (numeric >> 8) & 255,
+    b: numeric & 255,
+  };
+};
+
+export const rgbToHex = (r: number, g: number, b: number) =>
+  `#${[r, g, b].map((item) => clampNumber(Math.round(item), 0, 255).toString(16).padStart(2, "0")).join("")}`;
+
+export const parseSmartCutoutAspect = (aspect: string) => {
+  const match = aspect.match(/(\d+(?:\.\d+)?)\s*\/\s*(\d+(?:\.\d+)?)/);
+  if (!match) return null;
+  const width = Number(match[1]);
+  const height = Number(match[2]);
+  if (!Number.isFinite(width) || !Number.isFinite(height) || width <= 0 || height <= 0) return null;
+  return width / height;
+};
+
+export const parseSmartCutoutPercent = (value: string, fallback: number) => {
+  const numeric = Number(value.replace("%", ""));
+  if (!Number.isFinite(numeric)) return fallback;
+  return clampNumber(numeric / 100, 0.05, 1);
+};
+
+export const hsvToRgb = (h: number, s: number, v: number) => {
+  const hue = ((h % 360) + 360) % 360;
+  const saturation = clampNumber(s, 0, 100) / 100;
+  const value = clampNumber(v, 0, 100) / 100;
+  const chroma = value * saturation;
+  const x = chroma * (1 - Math.abs(((hue / 60) % 2) - 1));
+  const match = value - chroma;
+  const [red, green, blue] =
+    hue < 60
+      ? [chroma, x, 0]
+      : hue < 120
+        ? [x, chroma, 0]
+        : hue < 180
+          ? [0, chroma, x]
+          : hue < 240
+            ? [0, x, chroma]
+            : hue < 300
+              ? [x, 0, chroma]
+              : [chroma, 0, x];
+  return {
+    r: (red + match) * 255,
+    g: (green + match) * 255,
+    b: (blue + match) * 255,
+  };
+};
+
+export const hexToHsv = (value: string) => {
+  const rgb = hexToRgb(value) ?? { r: 255, g: 255, b: 255 };
+  const red = rgb.r / 255;
+  const green = rgb.g / 255;
+  const blue = rgb.b / 255;
+  const max = Math.max(red, green, blue);
+  const min = Math.min(red, green, blue);
+  const delta = max - min;
+  const hue =
+    delta === 0
+      ? 0
+      : max === red
+        ? 60 * (((green - blue) / delta) % 6)
+        : max === green
+          ? 60 * ((blue - red) / delta + 2)
+          : 60 * ((red - green) / delta + 4);
+  return {
+    h: Math.round((hue + 360) % 360),
+    s: max === 0 ? 0 : Math.round((delta / max) * 100),
+    v: Math.round(max * 100),
+  };
+};
@@ -0,0 +1,95 @@
+import { describe, expect, it } from "vitest";
+import {
+  defaultCloneOutput,
+  defaultEcommercePlatform,
+  defaultProductSetOutput,
+  formatUploadedImageRatio,
+  getPlatformDefaultLanguage,
+  getPlatformDefaultRatio,
+  getPlatformLanguageOptions,
+  getPlatformRatioOptions,
+  getUniqueRatioOptions,
+  normalizeLanguageForPlatform,
+  normalizeMarket,
+  normalizePlatform,
+  normalizeRatioForPlatform,
+  platformOptions,
+} from "./platformRules";
+
+describe("platform defaults", () => {
+  it("exposes the default ecommerce platform and outputs", () => {
+    expect(defaultEcommercePlatform).toBe("淘宝/天猫");
+    expect(defaultProductSetOutput).toBe("set");
+    expect(defaultCloneOutput).toBe("set");
+  });
+
+  it("lists platform labels for UI selectors", () => {
+    expect(platformOptions).toContain("淘宝/天猫");
+    expect(platformOptions).toContain("亚马逊 Amazon");
+    expect(platformOptions).toContain("TikTok Shop");
+  });
+});
+
+describe("normalizePlatform", () => {
+  it("normalizes legacy labels", () => {
+    expect(normalizePlatform("亚马逊Amazon")).toBe("亚马逊 Amazon");
+    expect(normalizePlatform("亚马逊")).toBe("亚马逊 Amazon");
+  });
+
+  it("falls back to the default platform for unknown labels", () => {
+    expect(normalizePlatform("unknown")).toBe("淘宝/天猫");
+  });
+});
+
+describe("platform ratios", () => {
+  it("returns mode-specific ratios", () => {
+    expect(getPlatformRatioOptions("淘宝/天猫", "set")).toContain("1000×1000px\u00a0\u00a0\u00a01:1");
+    expect(getPlatformDefaultRatio("淘宝/天猫", "video")).toBe("1080×1920px\u00a0\u00a0\u00a09:16");
+  });
+
+  it("normalizes an existing or partially matching ratio for a platform", () => {
+    expect(normalizeRatioForPlatform("淘宝/天猫", "1000×1000px\u00a0\u00a0\u00a01:1", "set")).toBe("1000×1000px\u00a0\u00a0\u00a01:1");
+    expect(normalizeRatioForPlatform("淘宝/天猫", "1000×1000px", "set")).toBe("1000×1000px\u00a0\u00a0\u00a01:1");
+  });
+
+  it("falls back to the mode default when no ratio matches", () => {
+    expect(normalizeRatioForPlatform("淘宝/天猫", "nope", "set")).toBe("1000×1000px\u00a0\u00a0\u00a01:1");
+  });
+
+  it("deduplicates ratio lists without changing order", () => {
+    expect(getUniqueRatioOptions(["1:1", "3:4", "1:1"])).toEqual(["1:1", "3:4"]);
+  });
+});
+
+describe("market and language rules", () => {
+  it("normalizes unknown markets to the default country", () => {
+    expect(normalizeMarket("火星")).toBe("中国");
+  });
+
+  it("uses Chinese by default for domestic platforms", () => {
+    expect(getPlatformDefaultLanguage("淘宝/天猫", "美国")).toBe("中文");
+  });
+
+  it("includes English for domestic platforms while preserving local languages", () => {
+    expect(getPlatformLanguageOptions("淘宝/天猫", "美国")).toEqual(["中文", "英文"]);
+  });
+
+  it("uses market languages for cross-border platforms", () => {
+    expect(getPlatformDefaultLanguage("亚马逊 Amazon", "日本")).toBe("日文");
+  });
+
+  it("normalizes language aliases and falls back when not available", () => {
+    expect(normalizeLanguageForPlatform("亚马逊 Amazon", "日本", "日语")).toBe("日文");
+    expect(normalizeLanguageForPlatform("亚马逊 Amazon", "日本", "德语")).toBe("日文");
+  });
+});
+
+describe("formatUploadedImageRatio", () => {
+  it("formats dimensions and aspect ratio", () => {
+    expect(formatUploadedImageRatio({ width: 750, height: 1000, format: "PNG" })).toBe("上传图片 750×1000px\u00a0\u00a0\u00a03:4\u00a0\u00a0\u00a0PNG");
+  });
+
+  it("falls back to original ratio when dimensions are missing", () => {
+    expect(formatUploadedImageRatio({ format: "JPG" })).toBe("上传图片\u00a0\u00a0\u00a0原图比例\u00a0\u00a0\u00a0JPG");
+  });
+});
@@ -0,0 +1,479 @@
+import { formatAspectRatio, normalizeRatioToken } from "./ratioUtils";
+
+export type ProductSetOutputKey = "set" | "detail" | "model" | "video";
+export type CloneOutputKey = ProductSetOutputKey | "hot";
+export type PlatformRatioModeKey = ProductSetOutputKey | "hot";
+
+export interface PlatformRatioGroup {
+  ratios: string[];
+  defaultRatio: string;
+}
+
+export interface EcommercePlatformSpec {
+  label: string;
+  ratios: string[];
+  defaultRatio: string;
+  ratioGroups?: Partial<Record<PlatformRatioModeKey, PlatformRatioGroup>>;
+  specs: string[];
+  tip?: string;
+  aliases?: string[];
+}
+export const platformSpecOptions: EcommercePlatformSpec[] = [
+  {
+    label: "淘宝/天猫",
+    ratios: ["淘宝主图 / SKU 图 800×800px", "详情页宽 750px", "详情页宽 790px"],
+    defaultRatio: "淘宝主图 / SKU 图 800×800px",
+    ratioGroups: {
+      set: {
+        ratios: ["1000×1000px\u00a0\u00a0\u00a01:1", "800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "1000×1000px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: [
+          "750×1000px\u00a0\u00a0\u00a03:4",
+          "790×1053px\u00a0\u00a0\u00a03:4",
+          "750×1125px\u00a0\u00a0\u00a02:3",
+          "790×1185px\u00a0\u00a0\u00a02:3",
+        ],
+        defaultRatio: "750×1000px\u00a0\u00a0\u00a03:4",
+      },
+      model: {
+        ratios: ["750×1000px\u00a0\u00a0\u00a03:4"],
+        defaultRatio: "750×1000px\u00a0\u00a0\u00a03:4",
+      },
+      video: {
+        ratios: ["1080×1920px\u00a0\u00a0\u00a09:16", "1080×1440px\u00a0\u00a0\u00a03:4", "1080×1080px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "1080×1920px\u00a0\u00a0\u00a09:16",
+      },
+      hot: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["主图 / SKU 图 800×800px，≤3MB", "详情页宽 750px 或 790px，单张高度≤1546px"],
+    tip: "建议主图 200-400KB JPG，超过 500KB 会影响加载速度。",
+  },
+  {
+    label: "京东",
+    ratios: ["京东主图 / SKU 图 800×800px", "详情页宽 750px", "首图主体占比 ≥80%"],
+    defaultRatio: "京东主图 / SKU 图 800×800px",
+    ratioGroups: {
+      set: {
+        ratios: ["1000×1000px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "1000×1000px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: [
+          "750×1000px\u00a0\u00a0\u00a03:4",
+          "990×1320px\u00a0\u00a0\u00a03:4",
+          "750×1125px\u00a0\u00a0\u00a02:3",
+          "990×1485px\u00a0\u00a0\u00a02:3",
+        ],
+        defaultRatio: "750×1000px\u00a0\u00a0\u00a03:4",
+      },
+      model: {
+        ratios: ["750×1125px\u00a0\u00a0\u00a02:3", "990×1485px\u00a0\u00a0\u00a02:3"],
+        defaultRatio: "750×1125px\u00a0\u00a0\u00a02:3",
+      },
+      video: {
+        ratios: ["1080×1920px\u00a0\u00a0\u00a09:16", "1920×1080px\u00a0\u00a0\u00a016:9"],
+        defaultRatio: "1080×1920px\u00a0\u00a0\u00a09:16",
+      },
+      hot: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["主图 / SKU 图 800×800px，白底，≤3MB", "详情页宽 750px，首图主体占比 ≥80%"],
+  },
+  {
+    label: "拼多多",
+    ratios: ["主图 750×352px", "主图 800×800px", "详情页宽 750px"],
+    defaultRatio: "主图 750×352px",
+    ratioGroups: {
+      set: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1", "750×1000px\u00a0\u00a0\u00a03:4"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: ["750×1000px\u00a0\u00a0\u00a03:4", "750×1125px\u00a0\u00a0\u00a02:3"],
+        defaultRatio: "750×1000px\u00a0\u00a0\u00a03:4",
+      },
+      model: {
+        ratios: ["750×1000px\u00a0\u00a0\u00a03:4"],
+        defaultRatio: "750×1000px\u00a0\u00a0\u00a03:4",
+      },
+      video: {
+        ratios: ["1080×1920px\u00a0\u00a0\u00a09:16"],
+        defaultRatio: "1080×1920px\u00a0\u00a0\u00a09:16",
+      },
+      hot: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["主图 750×352px 或 800×800px，≤1MB", "详情页宽 750px，要求纯白底、无水印、无拼接"],
+  },
+  {
+    label: "抖音电商",
+    ratios: ["短视频1080×1920px"],
+    defaultRatio: "短视频1080×1920px",
+    ratioGroups: {
+      video: {
+        ratios: ["1080×1920px\u00a0\u00a0\u00a09:16"],
+        defaultRatio: "1080×1920px\u00a0\u00a0\u00a09:16",
+      },
+      hot: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["短视频 1080×1920px，9:16", "30s 内最佳"],
+  },
+  {
+    label: "亚马逊 Amazon",
+    ratios: ["主图 ≥1600×1600px", "建议 2000×2000px+", "最小 500×500px"],
+    defaultRatio: "主图 ≥1600×1600px",
+    ratioGroups: {
+      set: {
+        ratios: ["1600×1600px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "1600×1600px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: ["1600×1600px\u00a0\u00a0\u00a01:1", "1200×1800px\u00a0\u00a0\u00a02:3", "1200×1600px\u00a0\u00a0\u00a03:4"],
+        defaultRatio: "1200×1800px\u00a0\u00a0\u00a02:3",
+      },
+      model: {
+        ratios: ["1200×1800px\u00a0\u00a0\u00a02:3"],
+        defaultRatio: "1200×1800px\u00a0\u00a0\u00a02:3",
+      },
+      video: {
+        ratios: ["1920×1080px\u00a0\u00a0\u00a016:9"],
+        defaultRatio: "1920×1080px\u00a0\u00a0\u00a016:9",
+      },
+      hot: {
+        ratios: ["1600×1600px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "1600×1600px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["主图 1600×1600px+，纯白底，≤10MB", "最小 500×500px，建议 2000px+ 以支持缩放"],
+    aliases: ["亚马逊"],
+  },
+  {
+    label: "Shopee",
+    ratios: ["商品主图 1024×1024px", "基础主图 800×800px"],
+    defaultRatio: "商品主图 1024×1024px",
+    ratioGroups: {
+      set: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: ["750×1000px\u00a0\u00a0\u00a03:4", "750×1125px\u00a0\u00a0\u00a02:3"],
+        defaultRatio: "750×1000px\u00a0\u00a0\u00a03:4",
+      },
+      model: {
+        ratios: ["750×1000px\u00a0\u00a0\u00a03:4"],
+        defaultRatio: "750×1000px\u00a0\u00a0\u00a03:4",
+      },
+      video: {
+        ratios: ["1080×1920px\u00a0\u00a0\u00a09:16"],
+        defaultRatio: "1080×1920px\u00a0\u00a0\u00a09:16",
+      },
+      hot: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["商品主图推荐 1024×1024px，基础 800×800px", "≤2MB，白底或浅色底"],
+    aliases: ["虾皮 Shopee/Lazada", "虾皮"],
+  },
+  {
+    label: "Lazada",
+    ratios: ["商品主图 800×800px"],
+    defaultRatio: "商品主图 800×800px",
+    ratioGroups: {
+      set: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: ["750×1000px\u00a0\u00a0\u00a03:4", "750×1125px\u00a0\u00a0\u00a02:3"],
+        defaultRatio: "750×1000px\u00a0\u00a0\u00a03:4",
+      },
+      model: {
+        ratios: ["750×1000px\u00a0\u00a0\u00a03:4"],
+        defaultRatio: "750×1000px\u00a0\u00a0\u00a03:4",
+      },
+      video: {
+        ratios: ["1080×1920px\u00a0\u00a0\u00a09:16"],
+        defaultRatio: "1080×1920px\u00a0\u00a0\u00a09:16",
+      },
+      hot: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["商品主图 800×800px，1:1"],
+  },
+  {
+    label: "Instagram",
+    ratios: ["帖子 1080×1350px", "帖子 1080×1080px", "Stories / Reels 1080×1920px", "头像 320×320px"],
+    defaultRatio: "帖子 1080×1350px",
+    ratioGroups: {
+      set: {
+        ratios: ["1080×1080px\u00a0\u00a0\u00a01:1", "1080×1350px\u00a0\u00a0\u00a04:5"],
+        defaultRatio: "1080×1080px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: ["1080×1350px\u00a0\u00a0\u00a04:5"],
+        defaultRatio: "1080×1350px\u00a0\u00a0\u00a04:5",
+      },
+      model: {
+        ratios: ["1080×1350px\u00a0\u00a0\u00a04:5"],
+        defaultRatio: "1080×1350px\u00a0\u00a0\u00a04:5",
+      },
+      video: {
+        ratios: ["1080×1920px\u00a0\u00a0\u00a09:16", "1080×1350px\u00a0\u00a0\u00a04:5"],
+        defaultRatio: "1080×1920px\u00a0\u00a0\u00a09:16",
+      },
+    },
+    specs: ["帖子 1080×1350px 或 1080×1080px", "Stories / Reels 封面 1080×1920px，头像 320×320px"],
+    tip: "建议 ≤8MB JPG。",
+    aliases: ["Instagram Reels"],
+  },
+  {
+    label: "速卖通",
+    ratios: ["主图 800×800px", "主图 1000×1000px+"],
+    defaultRatio: "主图 800×800px",
+    ratioGroups: {
+      set: {
+        ratios: ["1000×1000px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "1000×1000px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: ["750×1125px\u00a0\u00a0\u00a02:3", "750×1000px\u00a0\u00a0\u00a03:4"],
+        defaultRatio: "750×1125px\u00a0\u00a0\u00a02:3",
+      },
+      model: {
+        ratios: ["750×1125px\u00a0\u00a0\u00a02:3"],
+        defaultRatio: "750×1125px\u00a0\u00a0\u00a02:3",
+      },
+      video: {
+        ratios: ["1080×1920px\u00a0\u00a0\u00a09:16", "1920×1080px\u00a0\u00a0\u00a016:9"],
+        defaultRatio: "1080×1920px\u00a0\u00a0\u00a09:16",
+      },
+      hot: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["主图建议 800×800px 或更高，1:1", "适合跨境电商主图、SKU 图和场景图"],
+  },
+  {
+    label: "eBay",
+    ratios: ["商品图1:1", "白底多角度展示图 1:1"],
+    defaultRatio: "商品图1:1",
+    ratioGroups: {
+      set: {
+        ratios: ["1600×1600px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "1600×1600px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: ["1000×1500px\u00a0\u00a0\u00a02:3", "1200×1600px\u00a0\u00a0\u00a03:4"],
+        defaultRatio: "1000×1500px\u00a0\u00a0\u00a02:3",
+      },
+      model: {
+        ratios: ["1000×1500px\u00a0\u00a0\u00a02:3"],
+        defaultRatio: "1000×1500px\u00a0\u00a0\u00a02:3",
+      },
+      video: {
+        ratios: ["1920×1080px\u00a0\u00a0\u00a016:9", "1080×1920px\u00a0\u00a0\u00a09:16"],
+        defaultRatio: "1920×1080px\u00a0\u00a0\u00a016:9",
+      },
+      hot: {
+        ratios: ["1600×1600px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "1600×1600px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["商品图建议 1:1，主体清晰居中", "适合白底主图和多角度展示图"],
+  },
+  {
+    label: "TikTok Shop",
+    ratios: ["商品主图 1:1", "短视频/ 竖版封面 9:16"],
+    defaultRatio: "商品主图 1:1",
+    ratioGroups: {
+      set: {
+        ratios: ["1280×1280px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "1280×1280px\u00a0\u00a0\u00a01:1",
+      },
+      detail: {
+        ratios: ["1080×1350px\u00a0\u00a0\u00a04:5"],
+        defaultRatio: "1080×1350px\u00a0\u00a0\u00a04:5",
+      },
+      model: {
+        ratios: ["1080×1350px\u00a0\u00a0\u00a04:5"],
+        defaultRatio: "1080×1350px\u00a0\u00a0\u00a04:5",
+      },
+      video: {
+        ratios: ["1080×1920px\u00a0\u00a0\u00a09:16"],
+        defaultRatio: "1080×1920px\u00a0\u00a0\u00a09:16",
+      },
+      hot: {
+        ratios: ["800×800px\u00a0\u00a0\u00a01:1"],
+        defaultRatio: "800×800px\u00a0\u00a0\u00a01:1",
+      },
+    },
+    specs: ["商品主图建议 1:1", "短视频竖版封面建议 9:16"],
+  },
+];
+export const platformOptions = platformSpecOptions.map((option) => option.label);
+const getPlatformLogoText = (value: string) => {
+  const normalized = value.toLowerCase();
+  if (value.includes("淘宝") || value.includes("天猫")) return "淘";
+  if (value.includes("京东")) return "京";
+  if (value.includes("拼多多") || value.includes("鎷煎澶")) return "拼";
+  if (value.includes("抖音")) return "抖";
+  if (normalized.includes("amazon")) return "a";
+  if (normalized.includes("shopee")) return "S";
+  if (normalized.includes("lazada")) return "L";
+  if (normalized.includes("instagram")) return "IG";
+  if (value.includes("速卖通") || value.includes("閫熷崠閫")) return "AE";
+  if (normalized.includes("ebay")) return "eB";
+  if (normalized.includes("tiktok")) return "♪";
+  return value.trim().slice(0, 1).toUpperCase() || "商";
+};
+const getPlatformLogoVariant = (value: string) => {
+  const normalized = value.toLowerCase();
+  if (value.includes("淘宝") || value.includes("天猫")) return "taobao";
+  if (value.includes("京东")) return "jd";
+  if (value.includes("拼多多") || value.includes("鎷煎澶")) return "pdd";
+  if (value.includes("抖音")) return "douyin";
+  if (normalized.includes("amazon")) return "amazon";
+  if (normalized.includes("shopee")) return "shopee";
+  if (normalized.includes("lazada")) return "lazada";
+  if (normalized.includes("instagram")) return "instagram";
+  if (value.includes("速卖通") || value.includes("閫熷崠閫")) return "aliexpress";
+  if (normalized.includes("ebay")) return "ebay";
+  if (normalized.includes("tiktok")) return "tiktok";
+  return "default";
+};
+const getPlatformLogoMarks = (value: string) => {
+  if (value.includes("淘宝") || value.includes("天猫")) return ["淘", "猫"];
+  return [getPlatformLogoText(value)];
+};
+export const marketLanguageOptions: Array<{ country: string; languages: string[] }> = [
+  { country: "中国", languages: ["中文"] },
+  { country: "美国", languages: ["英文"] },
+  { country: "加拿大", languages: ["英文", "法文"] },
+  { country: "英国", languages: ["英文"] },
+  { country: "德国", languages: ["德文"] },
+  { country: "法国", languages: ["法文"] },
+  { country: "意大利", languages: ["意大利语"] },
+  { country: "西班牙", languages: ["西班牙语"] },
+  { country: "日本", languages: ["日文"] },
+  { country: "韩国", languages: ["韩文"] },
+  { country: "澳大利亚", languages: ["英文"] },
+  { country: "新加坡", languages: ["英文", "中文"] },
+  { country: "马来西亚", languages: ["马来语", "英文", "中文"] },
+  { country: "印尼", languages: ["印度尼西亚语", "英文"] },
+  { country: "越南", languages: ["越南语", "英文"] },
+  { country: "泰国", languages: ["泰语", "英文"] },
+  { country: "菲律宾", languages: ["菲律宾语（他加禄语）", "英文"] },
+  { country: "巴西", languages: ["葡萄牙语"] },
+  { country: "墨西哥", languages: ["西班牙语"] },
+  { country: "智利", languages: ["西班牙语"] },
+  { country: "哥伦比亚", languages: ["西班牙语"] },
+  { country: "阿联酋", languages: ["阿拉伯语", "英文"] },
+  { country: "沙特阿拉伯", languages: ["阿拉伯语", "英文"] },
+  { country: "俄罗斯", languages: ["俄语"] },
+  { country: "波兰", languages: ["波兰语"] },
+];
+export const marketOptions = marketLanguageOptions.map((option) => option.country);
+export const languageOptions = Array.from(new Set(marketLanguageOptions.flatMap((option) => option.languages)));
+export const languageAliases: Record<string, string> = {
+  "英文": "英文",
+  "中文": "中文",
+  "英语": "英文",
+  "日语": "日文",
+  "日文": "日文",
+  "德语": "德文",
+  "德文": "德文",
+  "法语": "法文",
+  "法文": "法文",
+  "韩语": "韩文",
+  "韩文": "韩文",
+  "西文": "西班牙语",
+  "西班牙语": "西班牙语",
+  "葡文": "葡萄牙语",
+  "葡萄牙语": "葡萄牙语",
+  "印尼语": "印度尼西亚语",
+  "印度尼西亚语": "印度尼西亚语",
+  "菲律宾语": "菲律宾语（他加禄语）",
+  "菲律宾语（他加禄语）": "菲律宾语（他加禄语）",
+};
+export const defaultPlatformSpec = platformSpecOptions[0]!;
+export const getPlatformSpec = (value: string) =>
+  platformSpecOptions.find((option) => option.label === value || option.aliases?.includes(value)) ?? defaultPlatformSpec;
+export const legacyPlatformAliases: Record<string, string> = {
+  "淘宝/天猫": "淘宝/天猫",
+  "京东": "京东",
+  "拼多多": "拼多多",
+  "抖音电商": "抖音电商",
+  "亚马逊Amazon": "亚马逊 Amazon",
+  "速卖通": "速卖通",
+};
+export const normalizePlatform = (value: string) => getPlatformSpec(legacyPlatformAliases[value] ?? value).label;
+export const domesticPlatformLabels = new Set(["淘宝/天猫", "京东", "拼多多", "抖音电商"]);
+export const domesticPlatformLanguages = ["中文"];
+export const isDomesticPlatform = (platformValue: string) => domesticPlatformLabels.has(normalizePlatform(platformValue));
+export const getPlatformRatioGroup = (value: string, mode?: PlatformRatioModeKey): PlatformRatioGroup => {
+  const platformSpec = getPlatformSpec(value);
+  return (mode ? platformSpec.ratioGroups?.[mode] : null) ?? {
+    ratios: platformSpec.ratios,
+    defaultRatio: platformSpec.defaultRatio,
+  };
+};
+export const getPlatformRatioOptions = (value: string, mode?: PlatformRatioModeKey) => getPlatformRatioGroup(value, mode).ratios;
+export const getPlatformDefaultRatio = (value: string, mode?: PlatformRatioModeKey) => getPlatformRatioGroup(value, mode).defaultRatio;
+export const getUniqueRatioOptions = (ratios: string[]) => Array.from(new Set(ratios));
+export const normalizeRatioForPlatform = (platformValue: string, ratioValue: string, mode?: PlatformRatioModeKey) => {
+  const platformRatios = getPlatformRatioOptions(platformValue, mode);
+  if (platformRatios.includes(ratioValue)) return ratioValue;
+  const normalizedRatio = normalizeRatioToken(ratioValue);
+  const matchedRatio = platformRatios.find((option) => normalizeRatioToken(option).includes(normalizedRatio));
+  return matchedRatio ?? getPlatformDefaultRatio(platformValue, mode);
+};
+
+export const defaultMarketLanguageOption = marketLanguageOptions[0]!;
+export const normalizeMarket = (value: string) =>
+  marketLanguageOptions.some((option) => option.country === value) ? value : defaultMarketLanguageOption.country;
+export const normalizeLanguage = (value: string) => languageAliases[value] ?? value;
+export const uniqueLanguages = (languages: string[]) => Array.from(new Set(languages));
+export const appendEnglish = (languages: string[]) => Array.from(new Set([...languages, "英文"]));
+export const getMarketLanguageOptions = (marketValue: string) =>
+  appendEnglish((marketLanguageOptions.find((option) => option.country === marketValue) ?? defaultMarketLanguageOption).languages);
+export const getPlatformLanguageOptions = (platformValue: string, marketValue: string) => {
+  const marketLanguages = getMarketLanguageOptions(marketValue);
+  if (!isDomesticPlatform(platformValue)) return marketLanguages;
+  const localLanguages = marketLanguages.filter((item) => item !== "英文");
+  return uniqueLanguages([...localLanguages, ...domesticPlatformLanguages, "英文"]);
+};
+export const getPlatformDefaultLanguage = (platformValue: string, marketValue: string) =>
+  isDomesticPlatform(platformValue) ? "中文" : (getPlatformLanguageOptions(platformValue, marketValue)[0] ?? languageOptions[0] ?? "英文");
+export const normalizeLanguageForPlatform = (platformValue: string, marketValue: string, languageValue: string) => {
+  const normalizedLanguage = normalizeLanguage(languageValue);
+  const platformLanguages = getPlatformLanguageOptions(platformValue, marketValue);
+  return platformLanguages.includes(normalizedLanguage) ? normalizedLanguage : getPlatformDefaultLanguage(platformValue, marketValue);
+};
+
+export const defaultEcommercePlatform = "淘宝/天猫";
+export const defaultProductSetOutput: ProductSetOutputKey = "set";
+export const defaultCloneOutput: CloneOutputKey = "set";
+
+export const formatUploadedImageRatio = (image?: { width?: number; height?: number; format?: string }) => {
+  if (!image) return null;
+  const format = image.format ? `\u00a0\u00a0\u00a0${image.format}` : "";
+  if (!image.width || !image.height) return `上传图片\u00a0\u00a0\u00a0原图比例${format}`;
+  return `上传图片 ${image.width}×${image.height}px\u00a0\u00a0\u00a0${formatAspectRatio(image.width, image.height)}${format}`;
+};
@@ -0,0 +1,83 @@
+import { describe, expect, it } from "vitest";
+import {
+  buildDetailModulePrompt,
+  buildEcommerceImagePrompt,
+  buildSetSubPrompt,
+  setCountLabels,
+  type EcommercePromptDetailModule,
+} from "./promptBuilder";
+
+const detailModules: EcommercePromptDetailModule[] = [
+  { id: "hero", title: "首页焦点图", desc: "集中呈现核心利益点" },
+  { id: "usage", title: "使用情境图", desc: "还原实际使用画面" },
+  { id: "spec", title: "参数信息表", desc: "整理商品关键数据" },
+];
+
+describe("buildDetailModulePrompt", () => {
+  it("uses the complete-detail prompt when no modules are selected", () => {
+    expect(buildDetailModulePrompt([], detailModules)).toContain("complete A+ detail layout");
+  });
+
+  it("includes only selected modules", () => {
+    const prompt = buildDetailModulePrompt(["hero", "spec"], detailModules);
+    expect(prompt).toContain("首页焦点图: 集中呈现核心利益点");
+    expect(prompt).toContain("参数信息表: 整理商品关键数据");
+    expect(prompt).not.toContain("使用情境图");
+  });
+
+  it("returns an empty prompt for unknown selected ids", () => {
+    expect(buildDetailModulePrompt(["missing"], detailModules)).toBe("");
+  });
+});
+
+describe("buildSetSubPrompt", () => {
+  it("builds white-background prompts with strict background guidance", () => {
+    const prompt = buildSetSubPrompt("white", 0, 1, "淘宝/天猫", "1:1", "中文", "中国");
+    expect(prompt).toContain(setCountLabels.white.label);
+    expect(prompt).toContain("clean white-background product image");
+    expect(prompt).toContain("Platform: 淘宝/天猫. Aspect ratio: 1:1. Language/copy: 中文. Market: 中国.");
+  });
+
+  it("adds variant guidance when generating multiple images", () => {
+    expect(buildSetSubPrompt("scene", 1, 3, "Amazon", "3:4", "英文", "美国")).toContain("variant 2 of 3");
+  });
+});
+
+describe("buildEcommerceImagePrompt", () => {
+  it("builds detail prompts with selected A+ modules", () => {
+    const prompt = buildEcommerceImagePrompt(
+      "detail",
+      "突出轻量化",
+      "京东",
+      "3:4",
+      "中文",
+      "中国",
+      { detailModules: ["usage"] },
+      detailModules,
+    );
+    expect(prompt).toContain("professional A+ detail page");
+    expect(prompt).toContain("使用情境图: 还原实际使用画面");
+    expect(prompt).toContain("Additional user requirements: 突出轻量化");
+  });
+
+  it("builds model prompts with model attributes and scenes", () => {
+    const prompt = buildEcommerceImagePrompt(
+      "model",
+      "",
+      "Shopee",
+      "3:4",
+      "英文",
+      "美国",
+      { gender: "女", age: "青年", ethnicity: "亚洲人", body: "标准", appearance: "短发", scenes: ["都市街头"], smartScene: true },
+    );
+    expect(prompt).toContain("Model gender: 女.");
+    expect(prompt).toContain("Background scenes: 都市街头.");
+    expect(prompt).toContain("Use smart scene matching");
+  });
+
+  it("builds hot-replication prompts", () => {
+    const prompt = buildEcommerceImagePrompt("hot", "", "TikTok Shop", "9:16", "英文", "美国");
+    expect(prompt).toContain("closely replicates the style");
+    expect(prompt).toContain("TikTok Shop marketplace standards");
+  });
+});
@@ -0,0 +1,113 @@
+import type { CloneOutputKey } from "./platformRules";
+
+export type EcommerceSetCountKey = "selling" | "white" | "scene";
+
+export interface EcommercePromptDetailModule {
+  id: string;
+  title: string;
+  desc: string;
+}
+
+export interface EcommerceImagePromptOptions {
+  gender?: string;
+  age?: string;
+  ethnicity?: string;
+  body?: string;
+  appearance?: string;
+  scenes?: string[];
+  customScene?: string;
+  smartScene?: boolean;
+  detailModules?: string[];
+}
+
+export const setCountLabels: Record<EcommerceSetCountKey, { label: string; promptDesc: string }> = {
+  selling: { label: "卖点图", promptDesc: "selling-point infographic image highlighting core product advantages and detail close-ups" },
+  white: { label: "白底图", promptDesc: "clean white-background product photo showing the item from its best angle, studio lighting, no props" },
+  scene: { label: "场景图", promptDesc: "lifestyle scene image showing the product in a realistic usage environment with natural surroundings" },
+};
+
+export const buildDetailModulePrompt = (moduleIds: string[], modules: EcommercePromptDetailModule[]): string => {
+  if (!moduleIds.length) {
+    return "Generate a complete A+ detail layout with hero, selling points, usage scene, product detail, and specification modules.";
+  }
+
+  const selectedModules = modules.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.`;
+};
+
+export const buildSetSubPrompt = (
+  countKey: EcommerceSetCountKey,
+  index: number,
+  totalCount: number,
+  platform: string,
+  ratio: string,
+  language: string,
+  market: 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.`);
+  }
+  parts.push(`Platform: ${platform}. Aspect ratio: ${ratio}. Language/copy: ${language}. Market: ${market}.`);
+  parts.push("Must comply with platform image guidelines —proper margins, no watermark, professional quality.");
+  return parts.join(" ");
+};
+
+export const buildEcommerceImagePrompt = (
+  outputKey: CloneOutputKey,
+  userText: string,
+  platform: string,
+  ratio: string,
+  language: string,
+  market: string,
+  options?: EcommerceImagePromptOptions,
+  detailModules: EcommercePromptDetailModule[] = [],
+): 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: ${platform}. Aspect ratio: ${ratio}. Language/copy: ${language}. Market: ${market}.`);
+    if (options?.detailModules) parts.push(buildDetailModulePrompt(options.detailModules, 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.");
+    parts.push("Show the product being used or worn by a model in attractive lifestyle settings.");
+    parts.push(`Platform: ${platform}. Aspect ratio: ${ratio}. Language/copy: ${language}. Market: ${market}.`);
+    if (options) {
+      if (options.gender) parts.push(`Model gender: ${options.gender}.`);
+      if (options.age) parts.push(`Model age: ${options.age}.`);
+      if (options.ethnicity) parts.push(`Model ethnicity: ${options.ethnicity}.`);
+      if (options.body) parts.push(`Model body type: ${options.body}.`);
+      if (options.appearance) parts.push(`Model appearance details: ${options.appearance}.`);
+      if (options.scenes?.length) parts.push(`Background scenes: ${options.scenes.join(", ")}.`);
+      if (options.customScene) parts.push(`Custom background scene: ${options.customScene}.`);
+      if (options.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.");
+  } else if (outputKey === "hot") {
+    parts.push("Generate a high-conversion e-commerce product image that closely replicates the style and composition of the reference image while adapting it to the target platform.");
+    parts.push(`Replicate the visual style, color palette, and layout feel of the source product image, then adapt it for ${platform} marketplace standards.`);
+    parts.push(`Platform: ${platform}. Aspect ratio: ${ratio}. Language/copy: ${language}. Market: ${market}.`);
+    parts.push("The result must look professional and optimized for high click-through rate and conversion on the specified platform.");
+  }
+  if (userText.trim()) {
+    parts.push(`Additional user requirements: ${userText.trim()}`);
+  }
+  return parts.join(" ");
+};
@@ -0,0 +1,170 @@
+import { describe, it, expect } from "vitest";
+import {
+  normalizeRatioToken,
+  greatestCommonDivisor,
+  formatAspectRatio,
+  getQuickSetRatioValue,
+  formatRatioDisplayValue,
+  getRatioDisplayParts,
+  parseRatioToAspectCss,
+  toSupportedImageApiRatio,
+  normalizeRatioForApi,
+} from "./ratioUtils";
+
+describe("normalizeRatioToken", () => {
+  it("normalizes non-breaking spaces", () => {
+    expect(normalizeRatioToken("800\u00a0\u00a0px")).toBe("800 px");
+  });
+
+  it("replaces plain separators with the normal multiplication sign", () => {
+    expect(normalizeRatioToken("800*800")).toBe("800×800");
+  });
+
+  it("replaces legacy mojibake multiply signs", () => {
+    expect(normalizeRatioToken("800\u8133800")).toBe("800×800");
+  });
+
+  it("replaces fullwidth and legacy mojibake colons", () => {
+    expect(normalizeRatioToken("1：1")).toBe("1:1");
+    expect(normalizeRatioToken("1\u951b?1")).toBe("1:1");
+  });
+
+  it("collapses whitespace and trims", () => {
+    expect(normalizeRatioToken("  1   :   1  ")).toBe("1 : 1");
+  });
+});
+
+describe("greatestCommonDivisor", () => {
+  it("computes GCD", () => {
+    expect(greatestCommonDivisor(12, 8)).toBe(4);
+    expect(greatestCommonDivisor(1920, 1080)).toBe(120);
+  });
+
+  it("handles zero with fallback to 1", () => {
+    expect(greatestCommonDivisor(0, 5)).toBe(5);
+    expect(greatestCommonDivisor(0, 0)).toBe(1);
+  });
+
+  it("handles negatives via abs", () => {
+    expect(greatestCommonDivisor(-12, 8)).toBe(4);
+  });
+});
+
+describe("formatAspectRatio", () => {
+  it("reduces 1920x1080 to 16:9", () => {
+    expect(formatAspectRatio(1920, 1080)).toBe("16:9");
+  });
+
+  it("reduces 750x1000 to 3:4", () => {
+    expect(formatAspectRatio(750, 1000)).toBe("3:4");
+  });
+
+  it("reduces 800x800 to 1:1", () => {
+    expect(formatAspectRatio(800, 800)).toBe("1:1");
+  });
+});
+
+describe("getQuickSetRatioValue", () => {
+  it("passes through a canonical quick-set value", () => {
+    expect(getQuickSetRatioValue("1:1")).toBe("1:1");
+  });
+
+  it("derives from a WxH size string", () => {
+    expect(getQuickSetRatioValue("1920×1080px")).toBe("16:9");
+    expect(getQuickSetRatioValue("750×1000px")).toBe("3:4");
+  });
+
+  it("derives from a raw ratio string", () => {
+    expect(getQuickSetRatioValue("9:16")).toBe("9:16");
+  });
+
+  it("falls back to 1:1 for unparseable input", () => {
+    expect(getQuickSetRatioValue("unknown")).toBe("1:1");
+  });
+});
+
+describe("formatRatioDisplayValue", () => {
+  it("formats a WxHpx string with aspect suffix", () => {
+    expect(formatRatioDisplayValue("1000×1000px   1:1")).toBe("1000×1000px\u00a0\u00a0\u00a01:1");
+  });
+
+  it("reformats 800x800px without explicit aspect", () => {
+    expect(formatRatioDisplayValue("800x800px")).toBe("800×800px\u00a0\u00a0\u00a01:1");
+  });
+
+  it("replaces legacy mojibake product image labels", () => {
+    expect(formatRatioDisplayValue("\u935f\u55d7\u6427\u9365?")).toBe("商品图");
+  });
+});
+
+describe("getRatioDisplayParts", () => {
+  it("splits size and aspect", () => {
+    expect(getRatioDisplayParts("1000×1000px   1:1")).toEqual({
+      size: "1000×1000px",
+      aspect: "1:1",
+    });
+  });
+
+  it("uses 自适应 when no aspect present", () => {
+    const parts = getRatioDisplayParts("原图");
+    expect(parts.aspect).toBe("自适应");
+  });
+});
+
+describe("parseRatioToAspectCss", () => {
+  it("extracts CSS aspect-ratio", () => {
+    expect(parseRatioToAspectCss("1000×1000px   1:1")).toBe("1000 / 1000");
+  });
+
+  it("falls back to 1 / 1", () => {
+    expect(parseRatioToAspectCss("no numbers")).toBe("1 / 1");
+  });
+});
+
+describe("toSupportedImageApiRatio", () => {
+  it("snaps square to 1:1", () => {
+    expect(toSupportedImageApiRatio(800, 800)).toBe("1:1");
+  });
+
+  it("snaps 750x1000 to 3:4", () => {
+    expect(toSupportedImageApiRatio(750, 1000)).toBe("3:4");
+  });
+
+  it("snaps 1920x1080 to 16:9", () => {
+    expect(toSupportedImageApiRatio(1920, 1080)).toBe("16:9");
+  });
+
+  it("snaps 1080x1920 to 9:16", () => {
+    expect(toSupportedImageApiRatio(1080, 1920)).toBe("9:16");
+  });
+
+  it("snaps 800x600 to 4:3", () => {
+    expect(toSupportedImageApiRatio(800, 600)).toBe("4:3");
+  });
+
+  it("returns 1:1 for non-finite or non-positive", () => {
+    expect(toSupportedImageApiRatio(NaN, 100)).toBe("1:1");
+    expect(toSupportedImageApiRatio(0, 100)).toBe("1:1");
+    expect(toSupportedImageApiRatio(-1, 100)).toBe("1:1");
+  });
+});
+
+describe("normalizeRatioForApi", () => {
+  it("extracts the explicit ratio from a display string", () => {
+    expect(normalizeRatioForApi("1000×1000px   1:1")).toBe("1:1");
+    expect(normalizeRatioForApi("750×1000px   3:4")).toBe("3:4");
+  });
+
+  it("derives ratio from a bare size string", () => {
+    expect(normalizeRatioForApi("1920×1080px")).toBe("16:9");
+  });
+
+  it("returns 1:1 for unparseable input", () => {
+    expect(normalizeRatioForApi("")).toBe("1:1");
+    expect(normalizeRatioForApi("无尺寸信息")).toBe("1:1");
+  });
+
+  it("uses the last explicit ratio when multiple present", () => {
+    expect(normalizeRatioForApi("4:3 16:9")).toBe("16:9");
+  });
+});
@@ -0,0 +1,125 @@
+// Ratio and dimension formatting helpers.
+// Keep compatibility with a few legacy mojibake tokens, but never emit them.
+// normalizeRatioForPlatform / formatUploadedImageRatio 因依赖平台规格表与 CloneImageItem，
+// 暂留在 EcommercePage.tsx，后续随 platformSpec 一起整理。
+
+const LEGACY_MULTIPLY_SIGN = "\u8133";
+const LEGACY_FULLWIDTH_COLON = "\u951b?";
+const LEGACY_PRODUCT_IMAGE_LABEL = "\u935f\u55d7\u6427\u9365?";
+
+export const normalizeRatioToken = (value: string) =>
+  value
+    .replaceAll("\u00a0", " ")
+    .replaceAll(LEGACY_MULTIPLY_SIGN, "×")
+    .replaceAll("*", "×")
+    .replaceAll("：", ":")
+    .replaceAll(LEGACY_FULLWIDTH_COLON, ":")
+    .replace(/\s+/g, " ")
+    .trim();
+
+export const quickSetRatioOptions = ["1:1", "3:4", "4:3", "9:16", "16:9"];
+
+export const greatestCommonDivisor = (left: number, right: number): number => {
+  let a = Math.abs(left);
+  let b = Math.abs(right);
+  while (b) {
+    [a, b] = [b, a % b];
+  }
+  return a || 1;
+};
+
+export const formatAspectRatio = (width: number, height: number) => {
+  const divisor = greatestCommonDivisor(width, height);
+  return `${Math.round(width / divisor)}:${Math.round(height / divisor)}`;
+};
+
+export const getQuickSetRatioValue = (value: string) => {
+  const normalizedValue = normalizeRatioToken(value);
+  if (quickSetRatioOptions.includes(normalizedValue)) return normalizedValue;
+  const sizeMatch = normalizedValue.match(/(\d+)\s*[×xX]\s*(\d+)/u);
+  if (sizeMatch) {
+    const width = Number(sizeMatch[1]);
+    const height = Number(sizeMatch[2]);
+    if (Number.isFinite(width) && Number.isFinite(height) && width > 0 && height > 0) {
+      const aspect = formatAspectRatio(width, height);
+      if (quickSetRatioOptions.includes(aspect)) return aspect;
+    }
+  }
+  const ratioMatch = normalizedValue.match(/(\d+)\s*[:：]\s*(\d+)/u);
+  if (ratioMatch) {
+    const aspect = `${Number(ratioMatch[1])}:${Number(ratioMatch[2])}`;
+    if (quickSetRatioOptions.includes(aspect)) return aspect;
+  }
+  return quickSetRatioOptions[0]!;
+};
+
+export const formatRatioDisplayValue = (value: string) => {
+  const normalizedValue = normalizeRatioToken(value);
+  const sizeMatch = normalizedValue.match(/(\d+)\s*[×xX]\s*(\d+)\s*px?/u);
+  if (sizeMatch) {
+    const width = Number(sizeMatch[1]);
+    const height = Number(sizeMatch[2]);
+    return `${width}×${height}px\u00a0\u00a0\u00a0${formatAspectRatio(width, height)}`;
+  }
+  return normalizedValue
+    .replace("淘宝主图 / SKU 图 ", "淘宝主图 / SKU 图 ")
+    .replace("京东主图 / SKU 图 ", "京东主图 / SKU 图 ")
+    .replace("详情页宽", "详情页宽")
+    .replace("短视频", "短视频")
+    .replace("主图", "主图")
+    .replace("商品主图", "商品主图")
+    .replace(LEGACY_PRODUCT_IMAGE_LABEL, "商品图")
+    .replace(/\s+:/g, ":")
+    .replace(/:\s+/g, ":");
+};
+
+export const getRatioDisplayParts = (value: string) => {
+  const display = formatRatioDisplayValue(value).replace(/\u00a0/g, " ").replace(/\s+/g, " ").trim();
+  const aspectMatch = display.match(/(\d+\s*[:：]\s*\d+)(?!.*\d+\s*[:：]\s*\d+)/u);
+  const aspect = aspectMatch?.[1]?.replace(/\s+/g, "") ?? "自适应";
+  const size = aspectMatch ? display.replace(aspectMatch[0], "").trim() : display;
+  return {
+    size: size || "原图比例",
+    aspect,
+  };
+};
+
+/** Extract CSS aspect-ratio from a ratio string like "1000x1000px   1:1" -> "1 / 1" */
+export const parseRatioToAspectCss = (ratioStr: string): string => {
+  const match = ratioStr.match(/(\d+)\D+(\d+)/u);
+  if (!match) return "1 / 1";
+  return `${match[1]} / ${match[2]}`;
+};
+
+export const supportedImageApiRatios = ["1:1", "3:4", "4:3", "9:16", "16:9"] as const;
+export type SupportedImageApiRatio = typeof supportedImageApiRatios[number];
+
+export const toSupportedImageApiRatio = (width: number, height: number): SupportedImageApiRatio => {
+  if (!Number.isFinite(width) || !Number.isFinite(height) || width <= 0 || height <= 0) return "1:1";
+  let bestRatio: SupportedImageApiRatio = "1:1";
+  let bestScore = Number.POSITIVE_INFINITY;
+  const target = Math.log(width / height);
+  for (const ratio of supportedImageApiRatios) {
+    const [left, right] = ratio.split(":").map(Number);
+    const score = Math.abs(target - Math.log(left / right));
+    if (score < bestScore) {
+      bestRatio = ratio;
+      bestScore = score;
+    }
+  }
+  return bestRatio;
+};
+
+/** Normalize ratio display string ("1000×1000px   1:1") to an image API aspect ratio ("1:1"). */
+export const normalizeRatioForApi = (ratioStr: string): string => {
+  const normalizedValue = normalizeRatioToken(ratioStr);
+  const explicitRatios = Array.from(normalizedValue.matchAll(/(\d+(?:\.\d+)?)\s*:\s*(\d+(?:\.\d+)?)/g));
+  const explicitRatio = explicitRatios.at(-1);
+  if (explicitRatio) {
+    return toSupportedImageApiRatio(Number(explicitRatio[1]), Number(explicitRatio[2]));
+  }
+
+  const sizeMatch = normalizedValue.match(/(\d+(?:\.\d+)?)\s*[×xX*]\s*(\d+(?:\.\d+)?)/u);
+  if (!sizeMatch) return "1:1";
+  return toSupportedImageApiRatio(Number(sizeMatch[1]), Number(sizeMatch[2]));
+};
@@ -0,0 +1 @@
+export * from "./workbenchDownload.ts";
@@ -0,0 +1 @@
+export * from "./useGenerationTasks.ts";
@@ -0,0 +1 @@
+export * from "./useTypewriter.ts";
@@ -2,15 +2,6 @@ import React from "react";
 import ReactDOM from "react-dom/client";
 import "./styles/index.css";
 import App from "./App";
-import { reportError } from "./utils/errorReporting";
-
-window.addEventListener("unhandledrejection", (event) => {
-  reportError(event.reason, "rejection");
-});
-
-window.addEventListener("error", (event) => {
-  if (event.error) reportError(event.error, "unhandled");
-});

 const root = document.getElementById("root");

@@ -0,0 +1 @@
+export * from "./backgroundTaskRunner.ts";
@@ -0,0 +1 @@
+export * from "./index.ts";
@@ -0,0 +1 @@
+export * from "./useAppStore.ts";
@@ -0,0 +1 @@
+export * from "./useGenerationStore.ts";
@@ -24,17 +24,33 @@ interface PersistedQueueSnapshot {
  savedAt: number;
 }

-const STORAGE_KEY = "omniai:generation-queue";
+const STORAGE_KEY_PREFIX = "omniai:generation-queue";
 const MAX_ITEMS = 80;
 const STALE_MS = 2 * 60 * 60 * 1000; // 2 hours

+function hashUserId(): string {
+  try {
+    const raw = localStorage.getItem("omniai-web-session");
+    if (!raw) return "anon";
+    const parsed = JSON.parse(raw) as { user?: { id?: number | string } };
+    return String(parsed?.user?.id || "anon");
+  } catch {
+    return "anon";
+  }
+}
+
+// 队列按用户分桶持久化：不同账号读写不同 key，避免登出再登他人账号时读到上一个用户的队列。
+function getStorageKey(): string {
+  return `${STORAGE_KEY_PREFIX}:${hashUserId()}`;
+}
+
 function loadPersistedQueue(): GenerationQueueItem[] {
  try {
-    const raw = localStorage.getItem(STORAGE_KEY);
+    const raw = localStorage.getItem(getStorageKey());
    if (!raw) return [];
    const snapshot = JSON.parse(raw) as PersistedQueueSnapshot;
    if (Date.now() - (snapshot.savedAt || 0) > STALE_MS) {
-      localStorage.removeItem(STORAGE_KEY);
+      localStorage.removeItem(getStorageKey());
      return [];
    }
    return snapshot.items.filter(
@@ -48,7 +64,7 @@ function loadPersistedQueue(): GenerationQueueItem[] {
 function persistQueue(items: GenerationQueueItem[]): void {
  try {
    const snapshot: PersistedQueueSnapshot = { version: 1, items, savedAt: Date.now() };
-    localStorage.setItem(STORAGE_KEY, JSON.stringify(snapshot));
+    localStorage.setItem(getStorageKey(), JSON.stringify(snapshot));
  } catch { /* quota exceeded */ }
 }

@@ -63,17 +79,6 @@ interface GenerationStoreState {
  clearTerminal: () => void;
 }

-function hashUserId(): string {
-  try {
-    const raw = localStorage.getItem("omniai-web-session");
-    if (!raw) return "anon";
-    const parsed = JSON.parse(raw) as { user?: { id?: number | string } };
-    return String(parsed?.user?.id || "anon");
-  } catch {
-    return "anon";
-  }
-}
-
 const initialQueue = loadPersistedQueue();

 export const useGenerationStore = create<GenerationStoreState>((set, get) => ({
@@ -0,0 +1 @@
+export * from "./useProjectStore.ts";
@@ -0,0 +1 @@
+export * from "./useSessionStore.ts";
@@ -0,0 +1 @@
+export * from "./useTaskStore.ts";
@@ -2930,12 +2930,68 @@
  height: auto;
 }

+.product-clone-page[data-tool="clone"] .clone-ai-canvas-node .clone-ai-main-result {
+  width: 150px;
+}
+
+.product-clone-page[data-tool="clone"] .clone-ai-source-stack {
+  position: relative;
+  flex: 0 0 auto;
+}
+
 .product-clone-page[data-tool="clone"] .clone-ai-result-grid {
  display: grid;
  grid-template-columns: repeat(2, minmax(0, 1fr));
  gap: 14px;
 }

+.product-clone-page[data-tool="clone"] .clone-ai-result-stack {
+  position: relative;
+  min-width: 0;
+}
+
+.product-clone-page[data-tool="clone"] .clone-ai-result-stack > .clone-ai-node-label {
+  position: absolute;
+  top: -6px;
+  left: 50%;
+  z-index: 5;
+  transform: translate(-50%, -100%);
+  white-space: nowrap;
+}
+
+.product-clone-page[data-tool="clone"] .clone-ai-source-corner-action {
+  position: absolute;
+  top: -6px;
+  left: 50%;
+  z-index: 5;
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+  min-height: 28px;
+  padding: 6px 12px;
+  border: 1px solid rgba(0, 255, 136, 0.35);
+  border-radius: 999px;
+  background: rgba(21, 23, 28, 0.92);
+  box-shadow: 0 8px 22px rgba(0, 0, 0, 0.28);
+  color: #d8deed;
+  font-size: 12px;
+  font-weight: 900;
+  line-height: 1;
+  white-space: nowrap;
+  cursor: pointer;
+  transform: translate(-50%, -100%);
+  transition:
+    border-color 200ms ease,
+    transform 200ms ease,
+    box-shadow 200ms ease;
+}
+
+.product-clone-page[data-tool="clone"] .clone-ai-source-corner-action:hover {
+  border-color: #00ff88;
+  transform: translate(-50%, -106%);
+  box-shadow: 0 10px 26px rgba(0, 255, 136, 0.14), 0 8px 22px rgba(0, 0, 0, 0.28);
+}
+
 .product-clone-page[data-tool="clone"] .clone-ai-result-grid button {
  width: 100%;
  height: auto;
@@ -7805,7 +7861,7 @@
 .product-set-preview-backdrop {
  position: fixed;
  inset: 0;
-  z-index: 100;
+  z-index: 4000;
  display: grid;
  place-items: center;
  background: rgb(17 24 39 / 58%);
@@ -12046,3 +12102,110 @@ html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[d
    grid-row: auto !important;
  }
 }
+
+/* Composer menu anchors: place option popovers under the clicked control, not under the whole composer. */
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .clone-ai-input-wrapper.ecom-command-composer > .ecom-command-popover.ecom-command-popover {
+  position: absolute !important;
+  inset: var(--composer-popover-top, 48px) auto auto var(--composer-popover-left, 0px) !important;
+  right: auto !important;
+  bottom: auto !important;
+  margin: 0 !important;
+  transform: none !important;
+  translate: none !important;
+  z-index: 160 !important;
+}
+
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .clone-ai-input-wrapper.ecom-command-composer > .ecom-command-popover.ecom-command-popover--platform {
+  grid-template-columns: repeat(2, minmax(0, 1fr)) !important;
+}
+
+/* 平台弹窗宽度仅桌面/平板固定；≤640px 由移动端断点的全宽规则接管。 */
+@media (min-width: 641px) {
+  html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .clone-ai-input-wrapper.ecom-command-composer > .ecom-command-popover.ecom-command-popover--platform {
+    width: min(460px, calc(100% - 24px)) !important;
+    max-width: min(460px, calc(100% - 24px)) !important;
+  }
+}
+
+/* 平台选项：logo + 名称横排，名称过长省略，避免在窄网格里溢出弹窗。 */
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .ecom-command-popover--platform button {
+  display: flex !important;
+  align-items: center !important;
+  justify-content: flex-start !important;
+  gap: 8px !important;
+  min-width: 0 !important;
+  text-align: left !important;
+}
+
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .ecom-command-popover--platform button .ecom-platform-name {
+  min-width: 0 !important;
+  overflow: hidden !important;
+  text-overflow: ellipsis !important;
+  white-space: nowrap !important;
+}
+
+@media (min-width: 641px) {
+  html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .clone-ai-input-wrapper.ecom-command-composer > .ecom-command-popover.ecom-command-popover--languages,
+  html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .clone-ai-input-wrapper.ecom-command-composer > .ecom-command-popover.ecom-command-popover--ratio-picker {
+    width: max-content !important;
+    min-width: 200px !important;
+    max-width: min(420px, calc(100% - var(--composer-popover-left, 0px))) !important;
+  }
+}
+
+/* 宽设置面板：固定宽度并靠右对齐 composer，避免从靠右的"设置"按钮左对齐展开时顶出右边缘被裁。
+   仅桌面/平板生效；≤640px 由移动端断点的全宽规则接管。 */
+@media (min-width: 641px) {
+  html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .clone-ai-input-wrapper.ecom-command-composer > .ecom-command-popover.ecom-command-popover--settings {
+    width: min(520px, calc(100% - 24px)) !important;
+    max-width: min(520px, calc(100% - 24px)) !important;
+    left: auto !important;
+    inset: var(--composer-popover-top, 48px) 12px auto auto !important;
+  }
+}
+
+/* Uploaded assets stay as compact attachments inside the composer hierarchy. */
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .clone-ai-input-wrapper.ecom-command-composer:has(.ecom-command-asset-popover) {
+  min-height: 0 !important;
+}
+
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .ecom-command-asset-popover,
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .ecom-command-composer-wrap:not(.has-generated.is-compact) .clone-ai-input-wrapper.ecom-command-composer:has(.ecom-command-asset-popover) .ecom-command-asset-popover {
+  position: static !important;
+  grid-column: 1 !important;
+  display: flex !important;
+  flex-wrap: wrap !important;
+  align-items: center !important;
+  justify-content: flex-start !important;
+  justify-self: start !important;
+  gap: 10px !important;
+  width: auto !important;
+  max-width: 100% !important;
+  min-height: 0 !important;
+  max-height: none !important;
+  padding: 2px 2px 0 !important;
+  overflow: visible !important;
+  border: 0 !important;
+  border-radius: 0 !important;
+  background: transparent !important;
+  box-shadow: none !important;
+  transform: none !important;
+}
+
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .ecom-command-asset-thumb,
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .ecom-command-composer-wrap:not(.has-generated.is-compact) .clone-ai-input-wrapper.ecom-command-composer:has(.ecom-command-asset-popover) .ecom-command-asset-thumb {
+  flex: 0 0 64px !important;
+  width: 64px !important;
+  height: 64px !important;
+  border-radius: 14px !important;
+}
+
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .ecom-command-asset-add,
+html body #root .ecommerce-standalone.ecommerce-standalone .product-clone-page[data-tool="clone"][data-tool="clone"] .ecom-command-composer-wrap:not(.has-generated.is-compact) .clone-ai-input-wrapper.ecom-command-composer:has(.ecom-command-asset-popover) .ecom-command-asset-add {
+  flex: 0 0 44px !important;
+  width: 44px !important;
+  height: 64px !important;
+  min-height: 44px !important;
+  margin: 0 !important;
+  font-size: 24px !important;
+}
@@ -0,0 +1 @@
+export * from "./types.ts";
@@ -0,0 +1 @@
+export * from "./enterpriseVideoPolicy.ts";
@@ -15,7 +15,11 @@ let flushTimer: ReturnType<typeof setTimeout> | null = null;

 function getSessionId(): string | undefined {
  try {
-    const raw = localStorage.getItem("omniai:session") || sessionStorage.getItem("omniai:session");
+    const raw =
+      localStorage.getItem("omniai-web-session") ||
+      sessionStorage.getItem("omniai-web-session") ||
+      localStorage.getItem("omniai:session") ||
+      sessionStorage.getItem("omniai:session");
    if (!raw) return undefined;
    const parsed = JSON.parse(raw);
    return parsed?.user?.sessionId ?? undefined;
@@ -0,0 +1 @@
+export * from "./happyHorseRouting.ts";
@@ -0,0 +1 @@
+export * from "./pixverseRouting.ts";
@@ -0,0 +1 @@
+export * from "./resolveVideoModel.ts";
@@ -0,0 +1 @@
+export * from "./taskLifecycle.ts";
@@ -0,0 +1 @@
+export * from "./translateTaskError.ts";
@@ -0,0 +1,81 @@
+import { describe, it, expect } from "vitest";
+import { classifyTaskError, translateTaskError, type TaskErrorCategory } from "./translateTaskError";
+
+// 每条规则至少一个正例，按规则顺序排列（classifyTaskError 先匹配先返回）。
+const RULE_CASES: Array<{ name: string; input: string; category: TaskErrorCategory }> = [
+  { name: "content policy", input: "content violated our policies", category: "content_policy" },
+  { name: "nsfw", input: "image flagged as nsfw", category: "content_policy" },
+  { name: "auth 401", input: "401 Unauthorized", category: "auth_failure" },
+  { name: "token expired", input: "token expired", category: "auth_failure" },
+  { name: "insufficient balance 402", input: "402 Payment Required", category: "insufficient_balance" },
+  { name: "余额不足", input: "余额不足", category: "insufficient_balance" },
+  { name: "concurrency pool full", input: "concurrency pool is full", category: "concurrency_busy" },
+  { name: "rate limit 429", input: "429 Too Many Requests", category: "concurrency_busy" },
+  { name: "unsupported model", input: "model not found", category: "unsupported_model" },
+  { name: "invalid asset", input: "invalid image format", category: "invalid_asset" },
+  { name: "network ECONNREFUSED", input: "fetch failed: ECONNREFUSED", category: "network_failure" },
+  { name: "timeout ETIMEDOUT", input: "ETIMEDOUT", category: "timeout" },
+  { name: "quota exceeded", input: "quota exceeded", category: "insufficient_balance" },
+  { name: "cancelled", input: "task was cancelled", category: "cancelled" },
+  { name: "已取消", input: "任务已取消", category: "cancelled" },
+  { name: "all providers failed", input: "all providers failed", category: "concurrency_busy" },
+  { name: "500 server error", input: "500 Internal Server Error", category: "network_failure" },
+  { name: "forbidden 403", input: "403 Forbidden", category: "auth_failure" },
+  { name: "aborted", input: "request aborted", category: "timeout" },
+];
+
+describe("classifyTaskError rule coverage", () => {
+  for (const { name, input, category } of RULE_CASES) {
+    it(`classifies "${name}" as ${category}`, () => {
+      const result = classifyTaskError(input);
+      expect(result.category).toBe(category);
+      expect(result.message).toBeTruthy();
+      expect(result.action).toBeTruthy();
+    });
+  }
+});
+
+describe("classifyTaskError edge cases", () => {
+  it("returns unknown for empty/null/undefined", () => {
+    expect(classifyTaskError("").category).toBe("unknown");
+    expect(classifyTaskError(undefined).category).toBe("unknown");
+    expect(classifyTaskError(null).category).toBe("unknown");
+  });
+
+  it("returns the raw (truncated) message for unrecognized Chinese errors", () => {
+    const result = classifyTaskError("这是一条未知的中文错误信息");
+    expect(result.category).toBe("unknown");
+    expect(result.message).toContain("未知");
+    expect(result.message).not.toContain("服务异常");
+  });
+
+  it("truncates long Chinese errors to 80 chars + ellipsis", () => {
+    const long = "错误".repeat(50);
+    const result = classifyTaskError(long);
+    expect(result.message.endsWith("...")).toBe(true);
+    expect(result.message.length).toBeLessThanOrEqual(83);
+  });
+
+  it("returns generic service message for unrecognized English errors", () => {
+    const result = classifyTaskError("something completely unexpected");
+    expect(result.category).toBe("unknown");
+    expect(result.message).toBe("服务异常，请稍后重试");
+  });
+});
+
+describe("classifyTaskError rule ordering (first match wins)", () => {
+  it("content_policy beats auth_failure when both patterns present", () => {
+    // "nsfw" appears before "401" in rule order
+    const result = classifyTaskError("nsfw content with 401");
+    expect(result.category).toBe("content_policy");
+  });
+});
+
+describe("translateTaskError", () => {
+  it("returns the message from classifyTaskError", () => {
+    expect(translateTaskError("401")).toBe("登录已过期，请重新登录");
+  });
+  it("returns generic message for empty input", () => {
+    expect(translateTaskError("")).toBe("任务失败，请重试");
+  });
+});
@@ -0,0 +1,87 @@
+import { describe, it, expect } from "vitest";
+import { resolveHappyHorseRequestModel, HAPPY_HORSE_UI_MODEL, HAPPY_HORSE_T2V_MODEL, HAPPY_HORSE_I2V_MODEL, HAPPY_HORSE_R2V_MODEL } from "./happyHorseRouting";
+import { resolveViduRequestModel, VIDU_UI_MODEL, VIDU_T2V_MODEL, VIDU_I2V_MODEL } from "./viduRouting";
+import { resolvePixverseRequestModel, PIXVERSE_UI_MODEL, PIXVERSE_T2V_MODEL, PIXVERSE_I2V_MODEL, PIXVERSE_KF2V_MODEL } from "./pixverseRouting";
+
+type ResolveFn = (input: { model: string; referenceUrls?: string[]; imageReferenceCount?: number }) => string;
+
+// 三家路由在参考图数量上的分支差异是回归测试重点。
+// HappyHorse: 0->t2v, 1->i2v, >=2->r2v
+// Vidu:       0->t2v, >=1->i2v (无 r2v)
+// Pixverse:   0->t2v, 1->i2v, >=2->kf2v
+describe.each([
+  { name: "HappyHorse", resolve: resolveHappyHorseRequestModel, ui: HAPPY_HORSE_UI_MODEL, t2v: HAPPY_HORSE_T2V_MODEL, i2v: HAPPY_HORSE_I2V_MODEL, third: HAPPY_HORSE_R2V_MODEL },
+  { name: "Vidu", resolve: resolveViduRequestModel, ui: VIDU_UI_MODEL, t2v: VIDU_T2V_MODEL, i2v: VIDU_I2V_MODEL, third: null },
+  { name: "Pixverse", resolve: resolvePixverseRequestModel, ui: PIXVERSE_UI_MODEL, t2v: PIXVERSE_T2V_MODEL, i2v: PIXVERSE_I2V_MODEL, third: PIXVERSE_KF2V_MODEL },
+] as Array<{ name: string; resolve: ResolveFn; ui: string; t2v: string; i2v: string; third: string | null }>)(
+  "$name routing by imageReferenceCount",
+  ({ resolve, ui, t2v, i2v, third }) => {
+    it("returns the input model unchanged when it is not this provider", () => {
+      expect(resolve({ model: "some-other-model" })).toBe("some-other-model");
+    });
+
+    it("routes 0 reference images to t2v", () => {
+      expect(resolve({ model: ui, imageReferenceCount: 0 })).toBe(t2v);
+    });
+
+    it("routes 1 reference image to i2v", () => {
+      expect(resolve({ model: ui, imageReferenceCount: 1 })).toBe(i2v);
+    });
+
+    if (third) {
+      it("routes >=2 reference images to the third model", () => {
+        expect(resolve({ model: ui, imageReferenceCount: 2 })).toBe(third);
+        expect(resolve({ model: ui, imageReferenceCount: 5 })).toBe(third);
+      });
+    } else {
+      it("routes >=1 reference images to i2v (no third model for this provider)", () => {
+        expect(resolve({ model: ui, imageReferenceCount: 2 })).toBe(i2v);
+        expect(resolve({ model: ui, imageReferenceCount: 5 })).toBe(i2v);
+      });
+    }
+  },
+);
+
+describe("reference count fallback (referenceUrls when imageReferenceCount omitted)", () => {
+  it("HappyHorse counts non-empty urls", () => {
+    expect(
+      resolveHappyHorseRequestModel({
+        model: HAPPY_HORSE_UI_MODEL,
+        referenceUrls: ["", "  ", "https://example.com/a.png"],
+      }),
+    ).toBe(HAPPY_HORSE_I2V_MODEL);
+  });
+
+  it("Vidu falls back to 0 when all urls are empty/whitespace", () => {
+    expect(
+      resolveViduRequestModel({
+        model: VIDU_UI_MODEL,
+        referenceUrls: ["", "   "],
+      }),
+    ).toBe(VIDU_T2V_MODEL);
+  });
+
+  it("Pixverse counts two non-empty urls as kf2v", () => {
+    expect(
+      resolvePixverseRequestModel({
+        model: PIXVERSE_UI_MODEL,
+        referenceUrls: ["https://a.png", "https://b.png"],
+      }),
+    ).toBe(PIXVERSE_KF2V_MODEL);
+  });
+
+  it("imageReferenceCount takes precedence over referenceUrls length", () => {
+    // Even though referenceUrls has 3 entries, explicit count of 0 wins.
+    expect(
+      resolveHappyHorseRequestModel({
+        model: HAPPY_HORSE_UI_MODEL,
+        referenceUrls: ["a", "b", "c"],
+        imageReferenceCount: 0,
+      }),
+    ).toBe(HAPPY_HORSE_T2V_MODEL);
+  });
+
+  it("handles undefined referenceUrls with undefined count", () => {
+    expect(resolveViduRequestModel({ model: VIDU_UI_MODEL })).toBe(VIDU_T2V_MODEL);
+  });
+});
@@ -0,0 +1 @@
+export * from "./viduRouting.ts";
@@ -16,5 +16,5 @@
    "noEmit": true,
    "jsx": "react-jsx"
  },
-  "include": ["src", "vite.config.ts"]
+  "include": ["src", "vite.config.ts", "vitest.config.ts"]
 }
@@ -2,8 +2,22 @@ import react from "@vitejs/plugin-react";
 import { compression } from "vite-plugin-compression2";
 import { defineConfig } from "vite";

-export default defineConfig(() => {
-  const devApiTarget = process.env.OMNIAI_DEV_API_TARGET;
+export default defineConfig(({ command }) => {
+  // dev 模式下默认把 /api 代理到线上电商后端，本地 `npm run dev` 即可直接登录/生成。
+  // 想连本地或 SSH 隧道的后端时，用环境变量覆盖：
+  //   $env:OMNIAI_DEV_API_TARGET="http://127.0.0.1:3601"; npm run dev
+  // 仅 dev 代理用途，不会打进生产构建产物。
+  const devApiTarget =
+    process.env.OMNIAI_DEV_API_TARGET?.trim() ||
+    (command === "serve" ? "https://omniai.com.cn" : "");
+  const apiProxy = devApiTarget
+    ? {
+        "/api": {
+          target: devApiTarget,
+          changeOrigin: true,
+        },
+      }
+    : undefined;

  return {
    plugins: [
@@ -13,25 +27,13 @@ export default defineConfig(() => {
    server: {
      port: 5173,
      host: "127.0.0.1",
-      proxy: devApiTarget ? {
-        "/api": {
-          target: devApiTarget,
-          changeOrigin: true,
-        },
-      } : {
-        "/api": {
-          target: "http://47.110.225.76:3601",
-          changeOrigin: true,
-        },
-      },
+      ...(apiProxy ? { proxy: apiProxy } : {}),
    },
    preview: {
      port: 4174,
      host: "127.0.0.1",
    },
-    esbuild: {
-      drop: ["console", "debugger"],
-    },
+    ...(command === "build" ? { esbuild: { drop: ["console", "debugger"] } } : {}),
    build: {
      sourcemap: false,
      rollupOptions: {
@@ -0,0 +1,16 @@
+import { defineConfig } from "vitest/config";
+
+// Vitest 配置独立于 vite.config.ts，避免影响 dev/build。
+// 本轮只测纯函数（颜色/比例/平台/路由/错误翻译），用 node 环境即可，无需 jsdom。
+// 后续要做组件测试时，再在 test.environment 切到 jsdom 并装 @testing-library/react。
+export default defineConfig({
+  test: {
+    environment: "node",
+    include: ["src/**/*.{test,spec}.{ts,tsx}"],
+    coverage: {
+      provider: "v8",
+      include: ["src/**/*.{ts,tsx}"],
+      exclude: ["src/**/*.test.*", "src/**/*.spec.*", "src/main.tsx", "src/vite-env.d.ts"],
+    },
+  },
+});
				`@@ -0,0 +1 @@`
				`export * from "./generationRecordClient.ts";`
				`@@ -0,0 +1 @@`
				`export * from "./ecommerceGenerationPersistence.ts";`
				`@@ -0,0 +1 @@`
				`export * from "./ecommerceImageValidation.ts";`
				`@@ -0,0 +1 @@`
				`export * from "./enterpriseVideoPolicy.ts";`