525 lines
17 KiB
TypeScript
525 lines
17 KiB
TypeScript
/**
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* 场景裂变 API
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*
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* 将一张产品图批量融合到多个场景图中
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* 使用阿里云千问图片编辑模型
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*/
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import { NextResponse } from "next/server";
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import { z } from "zod";
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import { auth } from "@/app/(auth)/auth";
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import { db } from "@/lib/db";
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import { generatedImage } from "@/lib/db/schema";
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import { getEnabledAiModelsWithProvider, getSystemSetting } from "@/lib/db/queries";
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import { uploadFile } from "@/lib/storage/service";
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import sharp from "sharp";
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// 请求体 Schema
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const sceneFusionRequestSchema = z.object({
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productImage: z.string().min(1, "产品图不能为空"),
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productName: z.string().optional(), // 产品名称（如"沙发"）
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aspectRatio: z.string().optional(), // 图片比例（如"1:1", "4:3", "auto"）
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imageSize: z.string().optional(), // 图片分辨率（如"1K", "2K", "4K"）
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scenes: z.array(z.object({
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id: z.string(),
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image: z.string().min(1, "场景图不能为空"),
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targetName: z.string().optional(), // 背景中需要被替换的物体名称（如"椅子"）
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customPrompt: z.string().optional(),
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})).min(1, "至少需要一个场景图").max(20, "最多支持20个场景图"),
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});
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// 默认提示词（当数据库未配置时使用）- 优化版本，强调保持产品原样
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const FALLBACK_PROMPT = "严格按照图1产品的原始形状、尺寸比例、颜色、材质和所有细节，将其完整地放置到图2的场景中。禁止对产品进行任何变形、拉伸、压缩或颜色改变。产品必须与图1完全一致，只改变其所处的环境背景。";
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/**
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* 获取场景裂变配置
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*/
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async function getSceneFusionConfig() {
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try {
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const setting = await getSystemSetting({ key: "scene_fusion_config" });
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if (setting?.value) {
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const config = setting.value as {
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enabled?: boolean;
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defaultPrompt?: string;
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maxScenes?: number;
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};
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return {
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enabled: config.enabled ?? true,
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defaultPrompt: config.defaultPrompt || FALLBACK_PROMPT,
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maxScenes: config.maxScenes ?? 10,
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};
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}
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} catch (error) {
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console.error("[SceneFusion] Failed to load config:", error);
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}
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return {
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enabled: true,
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defaultPrompt: FALLBACK_PROMPT,
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maxScenes: 10,
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};
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}
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/**
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* 创建缩略图
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*/
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async function createThumbnail(buffer: Buffer): Promise<Buffer> {
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try {
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const thumbnailBuffer = await sharp(buffer)
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.resize(400, 400, { fit: "inside", withoutEnlargement: true })
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.jpeg({ quality: 80 })
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.toBuffer();
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return thumbnailBuffer;
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} catch (error) {
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console.error("[SceneFusion] Failed to create thumbnail:", error);
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return buffer;
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}
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}
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/**
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* 生成唯一文件名
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*/
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function generateFilename(prefix: string, extension: string): string {
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const timestamp = Date.now();
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const random = Math.random().toString(36).substring(2, 8);
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return `${prefix}-${timestamp}-${random}.${extension}`;
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}
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/**
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* 将 Base64 图片上传到 S3 获取 URL
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*/
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async function uploadBase64ToS3(base64Data: string, prefix: string = "scene-fusion"): Promise<string> {
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try {
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// 移除 data URL 前缀
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const base64Clean = base64Data.replace(/^data:image\/\w+;base64,/, "");
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const buffer = Buffer.from(base64Clean, "base64");
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const filename = generateFilename(`${prefix}-ref`, "png");
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const result = await uploadFile(filename, buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength));
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console.log(`[SceneFusion] Uploaded reference image to: ${result.url}`);
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return result.url;
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} catch (error) {
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console.error("[SceneFusion] Failed to upload reference image:", error);
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throw error;
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}
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}
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/**
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* 下载图片并上传到 S3
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*/
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async function downloadAndUploadToS3(
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imageUrl: string,
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prefix: string = "scene-fusion"
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): Promise<{ thumbnail: string; original: string }> {
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try {
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console.log("[SceneFusion] Downloading image from:", imageUrl.substring(0, 100) + "...");
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const response = await fetch(imageUrl);
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if (!response.ok) {
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throw new Error(`Failed to download image: ${response.status}`);
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}
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const buffer = Buffer.from(await response.arrayBuffer());
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console.log(`[SceneFusion] Downloaded image, size: ${buffer.length} bytes`);
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// 创建缩略图
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const thumbnailBuffer = await createThumbnail(buffer);
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// 上传原图
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const originalFilename = generateFilename(`${prefix}-orig`, "png");
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const originalResult = await uploadFile(originalFilename, buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength));
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console.log(`[SceneFusion] Uploaded original to: ${originalResult.url}`);
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// 上传缩略图
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const thumbnailFilename = generateFilename(`${prefix}-thumb`, "jpg");
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const thumbnailArrayBuffer = new Uint8Array(thumbnailBuffer).buffer;
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const thumbnailResult = await uploadFile(thumbnailFilename, thumbnailArrayBuffer);
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console.log(`[SceneFusion] Uploaded thumbnail to: ${thumbnailResult.url}`);
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return {
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original: originalResult.url,
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thumbnail: thumbnailResult.url,
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};
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} catch (error) {
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console.error("[SceneFusion] Failed to download/upload image:", error);
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throw error;
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}
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}
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/**
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* 根据 aspectRatio 和 imageSize 计算实际尺寸
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* @param aspectRatio - 宽高比，如 "1:1", "4:3", "16:9", "auto"
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* @param imageSize - 分辨率等级，如 "1K", "2K", "4K"
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* @returns 尺寸字符串，如 "1024*1024"，或 undefined（auto 模式）
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*/
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function calculateSize(aspectRatio: string, imageSize: string): string | undefined {
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// auto 模式：不设置尺寸，让 API 根据输入图片自动决定
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if (aspectRatio === "auto") {
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return undefined;
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}
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// 根据分辨率等级确定基准像素
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const baseSizeMap: Record<string, number> = {
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"1K": 1024,
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"2K": 1536,
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"4K": 2048,
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};
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const baseSize = baseSizeMap[imageSize] || 1536;
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// 根据比例计算宽高
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const ratioMap: Record<string, [number, number]> = {
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"1:1": [1, 1],
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"4:3": [4, 3],
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"3:4": [3, 4],
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"16:9": [16, 9],
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"9:16": [9, 16],
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};
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const ratio = ratioMap[aspectRatio];
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if (!ratio) {
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return undefined;
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}
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const [w, h] = ratio;
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// 保持总像素接近 baseSize * baseSize，同时维持比例
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const scale = Math.sqrt((baseSize * baseSize) / (w * h));
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let width = Math.round(w * scale);
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let height = Math.round(h * scale);
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// 确保宽高在 512-2048 范围内
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const clamp = (v: number) => Math.max(512, Math.min(2048, v));
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width = clamp(width);
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height = clamp(height);
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return `${width}*${height}`;
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}
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/**
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* 调用阿里生图 API
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*/
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async function callAlibabaImageAPI(
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baseURL: string,
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apiKey: string,
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modelId: string,
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productImageUrl: string,
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sceneImageUrl: string,
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prompt: string,
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size?: string
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): Promise<string> {
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// 构建消息内容：产品图 + 场景图 + 提示词
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const content = [
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{ image: productImageUrl },
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{ image: sceneImageUrl },
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{ text: prompt },
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];
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const requestBody = {
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model: modelId,
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input: {
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messages: [
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{
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role: "user",
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content,
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},
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],
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},
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parameters: {
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n: 1,
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...(size && { size }),
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prompt_extend: true,
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watermark: false,
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},
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};
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console.log(`[SceneFusion][${modelId}] Request Debug:
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- Index: Scene ${sceneImageUrl.substring(sceneImageUrl.length-15)}
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- Product URL: ${productImageUrl}
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- Scene URL: ${sceneImageUrl}
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- Size: ${size || 'auto'}
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- Prompt: ${prompt}
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`);
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const response = await fetch(baseURL, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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Authorization: `Bearer ${apiKey}`,
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},
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body: JSON.stringify(requestBody),
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});
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const data = await response.json();
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if (!response.ok || data.code) {
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console.error("[SceneFusion] API Error Response:", JSON.stringify(data, null, 2));
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throw new Error(data.message || (data.code ? `Error ${data.code}: ${data.message}` : `API request failed: ${response.status}`));
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}
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// 提取生成的图片 URL
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const choices = data.output?.choices;
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if (!choices || choices.length === 0) {
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throw new Error("No images in response");
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}
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const imageContent = choices[0]?.message?.content;
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if (!imageContent || imageContent.length === 0) {
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throw new Error("No image content in response");
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}
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const generatedImageUrl = imageContent[0]?.image;
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if (!generatedImageUrl) {
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throw new Error("No image URL in response");
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}
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console.log("[SceneFusion] Generated image URL:", generatedImageUrl.substring(0, 100) + "...");
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return generatedImageUrl;
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}
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/**
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* 构建智能提示词
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* @param defaultPrompt - 默认提示词模板
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* @param productName - 产品名称（如"沙发"）
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* @param targetName - 背景中需要被替换的物体名称（如"椅子"）
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* @param customPrompt - 用户补充的关键词
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*/
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function buildPrompt(
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defaultPrompt: string,
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productName?: string,
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targetName?: string,
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customPrompt?: string
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): string {
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let prompt = defaultPrompt;
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// 如果用户提供了具体的产品名称和被替换物体名称，构建更精确的提示词
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// 所有模板都强调：严格保持产品原样，禁止变形
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if (productName && targetName) {
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prompt = `严格按照图1中"${productName}"的原始形状、尺寸比例、颜色、材质和所有细节，将其完整地放置到图2场景中，替换掉图2中的"${targetName}"。禁止对"${productName}"进行任何变形、拉伸、压缩或颜色改变。"${productName}"必须与图1完全一致。`;
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} else if (productName) {
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prompt = `严格按照图1中"${productName}"的原始形状、尺寸比例、颜色、材质和所有细节，将其完整地放置到图2的场景中。禁止对"${productName}"进行任何变形、拉伸、压缩或颜色改变。"${productName}"必须与图1完全一致。`;
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} else if (targetName) {
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prompt = `严格按照图1产品的原始形状、尺寸比例、颜色、材质和所有细节，将其完整地放置到图2场景中，替换掉图2中的"${targetName}"。禁止对产品进行任何变形、拉伸、压缩或颜色改变。产品必须与图1完全一致。`;
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}
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// 添加用户补充的关键词
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if (customPrompt) {
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prompt = `${prompt} ${customPrompt}`;
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}
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return prompt;
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}
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/**
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* 处理单个场景
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*/
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async function processScene(
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productImageUrl: string,
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sceneImageUrl: string,
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productName: string | undefined,
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targetName: string | undefined,
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customPrompt: string | undefined,
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defaultPrompt: string,
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baseURL: string,
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apiKey: string,
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modelId: string,
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size?: string
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): Promise<{ thumbnail: string; original: string; prompt: string }> {
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// 构建智能提示词
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const prompt = buildPrompt(defaultPrompt, productName, targetName, customPrompt);
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console.log(`[SceneFusion] Built prompt: ${prompt}`);
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// 调用阿里生图 API
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const generatedImageUrl = await callAlibabaImageAPI(
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baseURL,
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apiKey,
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modelId,
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productImageUrl,
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sceneImageUrl,
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prompt,
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size
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);
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// 下载并上传到 S3
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const uploaded = await downloadAndUploadToS3(generatedImageUrl, "scene-fusion");
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return { ...uploaded, prompt };
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}
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export async function POST(request: Request) {
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try {
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// 1. 认证
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const session = await auth();
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if (!session?.user?.id) {
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return NextResponse.json(
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{ error: "未登录" },
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{ status: 401 }
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);
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}
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// 2. 获取场景裂变配置
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const config = await getSceneFusionConfig();
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if (!config.enabled) {
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return NextResponse.json(
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{ error: "场景裂变功能已被管理员禁用" },
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{ status: 403 }
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);
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}
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// 3. 解析请求体
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const json = await request.json();
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const parseResult = sceneFusionRequestSchema.safeParse(json);
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if (!parseResult.success) {
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return NextResponse.json(
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{ error: parseResult.error.errors[0].message },
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{ status: 400 }
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);
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}
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const { productImage, productName, aspectRatio, imageSize, scenes } = parseResult.data;
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// 计算输出尺寸
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const size = calculateSize(aspectRatio || "auto", imageSize || "2K");
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console.log(`[SceneFusion] Output settings: aspectRatio=${aspectRatio || 'auto'}, imageSize=${imageSize || '2K'}, calculated size=${size || 'auto'}`);
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// 检查场景数量限制
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if (scenes.length > config.maxScenes) {
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return NextResponse.json(
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{ error: `最多只能添加 ${config.maxScenes} 个场景` },
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{ status: 400 }
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);
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}
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console.log(`[SceneFusion] Processing ${scenes.length} scenes for user ${session.user.id}`);
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console.log(`[SceneFusion] Product name: ${productName || '(not specified)'}`);
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console.log(`[SceneFusion] Using default prompt: ${config.defaultPrompt.substring(0, 50)}...`);
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// 4. 获取阿里生图模型配置
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const allModels = await getEnabledAiModelsWithProvider();
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const alibabaModel = allModels.find(
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(m) => m.provider.type === "alibaba-image" && m.model.isEnabled
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);
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if (!alibabaModel) {
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return NextResponse.json(
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{ error: "未配置阿里生图模型，请联系管理员" },
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{ status: 500 }
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);
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}
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const { provider, model } = alibabaModel;
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console.log(`[SceneFusion] Using model: ${model.displayName} (${model.modelId})`);
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// 4. 预处理：将 Base64 图片上传到 S3
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let productImageUrl = productImage;
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if (productImage.startsWith("data:")) {
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productImageUrl = await uploadBase64ToS3(productImage, "scene-fusion-product");
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}
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const processedScenes = await Promise.all(
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scenes.map(async (scene) => {
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let sceneImageUrl = scene.image;
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if (scene.image.startsWith("data:")) {
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sceneImageUrl = await uploadBase64ToS3(scene.image, "scene-fusion-scene");
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}
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return {
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...scene,
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imageUrl: sceneImageUrl,
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};
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})
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);
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// 6. 串行处理所有场景，每次间隔5秒
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const results = [];
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for (let i = 0; i < processedScenes.length; i++) {
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const scene = processedScenes[i];
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console.log(`[SceneFusion] ========== Processing scene ${i + 1}/${processedScenes.length} ==========`);
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console.log(`[SceneFusion] Scene ID: ${scene.id}`);
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console.log(`[SceneFusion] Product Image URL: ${productImageUrl.substring(0, 80)}...`);
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console.log(`[SceneFusion] Scene Image URL: ${scene.imageUrl.substring(0, 80)}...`);
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console.log(`[SceneFusion] Target Name: ${scene.targetName || '(not specified)'}`);
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console.log(`[SceneFusion] Custom Prompt: ${scene.customPrompt || '(none)'}`);
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// 如果不是第一张图，等待5秒
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if (i > 0) {
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console.log(`[SceneFusion] Waiting 5 seconds before processing...`);
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await new Promise((resolve) => setTimeout(resolve, 5000));
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}
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try {
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const result = await processScene(
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productImageUrl,
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scene.imageUrl,
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productName,
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scene.targetName,
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scene.customPrompt,
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config.defaultPrompt,
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provider.baseUrl,
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provider.apiKey,
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model.modelId,
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size
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);
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// 将分辨率等级用于数据库存储
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const dbImageSize = imageSize || "2K";
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|
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// 保存到数据库（chatId 和 messageId 设为 null，因为场景裂变不关联聊天）
|
||
try {
|
||
await db.insert(generatedImage).values({
|
||
userId: session.user.id,
|
||
chatId: null, // 场景裂变不关联聊天
|
||
messageId: null, // 场景裂变不关联消息
|
||
thumbnailUrl: result.thumbnail,
|
||
originalUrl: result.original,
|
||
imageSize: dbImageSize,
|
||
prompt: `[场景裂变] ${result.prompt}`,
|
||
modelId: model.modelId,
|
||
});
|
||
console.log(`[SceneFusion] ✅ Saved image to gallery: ${result.original.substring(0, 80)}...`);
|
||
} catch (dbError) {
|
||
console.error("[SceneFusion] ❌ Failed to save to gallery:", dbError);
|
||
}
|
||
|
||
results.push({
|
||
id: scene.id,
|
||
status: "completed" as const,
|
||
result: result.thumbnail, // 返回缩略图用于预览
|
||
originalUrl: result.original, // 原图用于下载
|
||
});
|
||
} catch (error) {
|
||
console.error(`[SceneFusion] Failed to process scene ${scene.id}:`, error);
|
||
results.push({
|
||
id: scene.id,
|
||
status: "failed" as const,
|
||
error: error instanceof Error ? error.message : "处理失败",
|
||
});
|
||
}
|
||
}
|
||
|
||
// 6. 返回结果
|
||
const successCount = results.filter((r) => r.status === "completed").length;
|
||
const failCount = results.filter((r) => r.status === "failed").length;
|
||
|
||
console.log(`[SceneFusion] Completed: ${successCount} success, ${failCount} failed`);
|
||
|
||
return NextResponse.json({
|
||
success: true,
|
||
results,
|
||
summary: {
|
||
total: scenes.length,
|
||
success: successCount,
|
||
failed: failCount,
|
||
},
|
||
});
|
||
} catch (error) {
|
||
console.error("[SceneFusion] Unexpected error:", error);
|
||
return NextResponse.json(
|
||
{ error: error instanceof Error ? error.message : "处理失败" },
|
||
{ status: 500 }
|
||
);
|
||
}
|
||
}
|