feat: 邮箱注册验证 + 9项功能修复与优化

【认证系统】
- 新增邮箱验证码注册/登录流程 (sendEmailCode / verifyEmail / forgotPassword / resetPassword)
- register-email 现在需要验证码
- 服务端新增 email_verification_codes 表 + patch-email-verification.js
- App.tsx 登录后 emailVerified 检查提醒
- keyServerClient token 显式传递修复 401 错误

【电商模块】
- 自动推进: 策划完成后自动生成分镜图/视频
- 模特图选项 (性别/年龄/种族/体型/场景) 注入 AI 提示词
- 任务持久化指纹修复 (图片数量替代 blob URL)
- 新增「视频换装」入口 (happyhorse-1.0-video-edit)

【剧本评分】
- 新增 .docx/.doc Word 文档支持 (ZIP解压+XML提取)
- 历史记录支持点击查看/恢复评测结果

【画布】
- ReactFlow 节点禁止内置拖拽避免冲突
- 连接线拖拽弹窗优化 (预览线不消失, 弹窗跟踪鼠标)

【页面修复】
- 首页轮播图改为 aspect-ratio: 16/9 解决尺寸问题
- 资产库新增悬停删除按钮
- scriptEvalClient 改用服务端 /api/ai/chat 端点
- TokenUsagePage 未登录跳过 API 调用

src/features/ecommerce/ecommerceVideoService.ts

@@ -11,6 +11,7 @@ import {
 import { aiGenerationClient } from "../../api/aiGenerationClient";
 import { waitForTask } from "../../api/taskSubscription";
 import { resolveVideoRequestModel } from "../../utils/resolveVideoModel";
+import { normalizeEcommerceImageMime } from "./ecommerceImageValidation";
 import type {
   EcommerceVideoPlanProgress,
   EcommerceVideoPlanResult,
@@ -22,6 +23,7 @@ export interface PlanCallbacks {
   onStepStart: (step: PlanStep) => void;
   onStepDone: (step: PlanStep) => void;
   onImagesUploaded?: (urls: string[]) => void;
+  onUploadRejected?: (messages: string[]) => void;
   onPartialProgress?: (progress: EcommerceVideoPlanProgress) => void;
   signal?: AbortSignal;
   /** Partial state from a previous run; steps with existing data are skipped. */
@@ -47,19 +49,29 @@ export async function runVideoPlan(
   if (!progress.imageUrls?.length) {
     onStepStart("upload");
     const imageUrls: string[] = [];
-    const SUPPORTED_IMAGE_TYPES = new Set(["image/jpeg", "image/png", "image/webp", "image/gif"]);
+    const rejected: string[] = [];
     for (const srcUrl of imageDataUrls) {
       try {
         const resp = await fetch(srcUrl);
         const rawBlob = await resp.blob();
-        const mimeType = SUPPORTED_IMAGE_TYPES.has(rawBlob.type) ? rawBlob.type : "image/png";
+        const mimeType = normalizeEcommerceImageMime(rawBlob.type);
         const blob = rawBlob.type === mimeType ? rawBlob : new Blob([rawBlob], { type: mimeType });
-        const result = await aiGenerationClient.uploadAssetBinary(blob, { mimeType, scope: "ecommerce-product" });
+        const dataUrl = await new Promise<string>((resolve, reject) => {
+          const reader = new FileReader();
+          reader.onload = () => resolve(String(reader.result || ""));
+          reader.onerror = () => reject(reader.error || new Error("文件读取失败"));
+          reader.readAsDataURL(blob);
+        });
+        const result = await aiGenerationClient.uploadAsset({ dataUrl, mimeType, scope: "ecommerce-product" });
         imageUrls.push(result.url);
-      } catch {
-        // skip images that fail to upload
+      } catch (err) {
+        rejected.push(err instanceof Error ? err.message : "图片上传失败");
       }
     }
+    if (rejected.length) {
+      progress.uploadWarnings = rejected;
+      callbacks.onUploadRejected?.(rejected);
+    }
     if (!imageUrls.length) throw new Error("图片上传失败，请检查图片格式或网络后重试");
     progress.imageUrls = imageUrls;
     onStepDone("upload");