471 lines
16 KiB
TypeScript
471 lines
16 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { getSystemSetting } from "@/lib/db/queries";
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import { auth } from "@/app/(auth)/auth";
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import { uploadFile } from "@/lib/storage/service";
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import { db } from "@/lib/db";
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import { generatedImage } from "@/lib/db/schema";
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/**
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* 压缩图片生成缩略图（使用 sharp）
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*/
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async function createThumbnail(buffer: Buffer, mimeType: string): Promise<Buffer> {
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try {
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const sharp = await import("sharp");
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// 创建缩略图（宽度 500px，高度按比例，质量 80%）
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const thumbnailBuffer = await sharp.default(buffer)
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.resize(500, null, {
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fit: "inside",
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withoutEnlargement: true,
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})
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.jpeg({ quality: 80 }) // JPEG格式
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.toBuffer();
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console.log(`[Enhance] Thumbnail created, size: ${thumbnailBuffer.length} bytes (original: ${buffer.length} bytes)`);
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return thumbnailBuffer;
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} catch (error) {
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console.error("[Enhance] Failed to create thumbnail:", error);
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// 如果失败，返回原图
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return buffer;
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}
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}
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/**
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* 将 base64 图片上传到 S3，返回缩略图和原图的 URL
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*/
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async function uploadBase64ToS3(base64Data: string, mimeType: string = "image/jpeg"): Promise<{ thumbnail: string; original: string }> {
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try {
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// 解析 base64 数据
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const buffer = Buffer.from(base64Data, "base64");
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// 生成文件名
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const ext = mimeType.split("/")[1] || "jpg";
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const timestamp = Date.now();
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const randomStr = Math.random().toString(36).slice(2, 8);
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const thumbnailFilename = `enhance-thumb-${timestamp}-${randomStr}.${ext}`;
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const originalFilename = `enhance-orig-${timestamp}-${randomStr}.${ext}`;
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console.log(`[Enhance] Original size: ${buffer.length} bytes`);
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// 生成缩略图
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const thumbnailBuffer = await createThumbnail(buffer, mimeType);
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// 转换为 ArrayBuffer
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const thumbnailArrayBuffer = thumbnailBuffer.buffer.slice(
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thumbnailBuffer.byteOffset,
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thumbnailBuffer.byteOffset + thumbnailBuffer.byteLength
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) as ArrayBuffer;
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const originalArrayBuffer = buffer.buffer.slice(
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buffer.byteOffset,
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buffer.byteOffset + buffer.byteLength
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) as ArrayBuffer;
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// 并行上传缩略图和原图到 S3
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console.log(`[Enhance] Uploading thumbnail and original to S3...`);
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const [thumbnailResult, originalResult] = await Promise.all([
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uploadFile(thumbnailFilename, thumbnailArrayBuffer),
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uploadFile(originalFilename, originalArrayBuffer),
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]);
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console.log(`[Enhance] Uploaded to S3:`);
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console.log(` - Thumbnail: ${thumbnailResult.url}`);
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console.log(` - Original: ${originalResult.url}`);
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return {
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thumbnail: thumbnailResult.url,
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original: originalResult.url,
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};
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} catch (error) {
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console.error("[Enhance] Failed to upload to S3:", error);
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throw new Error(`图片上传到存储桶失败: ${error instanceof Error ? error.message : "未知错误"}。请检查系统设置中的存储配置。`);
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}
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}
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/**
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* 轮询获取任务结果
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*/
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async function pollTaskResult(apiUrl: string, apiKey: string, taskId: string, maxAttempts: number = 30): Promise<any> {
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const pollUrl = `${apiUrl}/api/tasks/visual/scale/${taskId}`;
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for (let attempt = 0; attempt < maxAttempts; attempt++) {
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try {
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const response = await fetch(pollUrl, {
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method: "GET",
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headers: {
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"X-API-KEY": apiKey,
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},
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});
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if (!response.ok) {
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throw new Error(`轮询请求失败: ${response.status} ${response.statusText}`);
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}
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const result = await response.json();
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// 检查任务状态
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if (result.status === 200 && result.data) {
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if (result.data.state === 1) {
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// 任务完成
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return result.data;
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} else if (result.data.state === 0) {
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// 任务进行中，继续轮询
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await new Promise(resolve => setTimeout(resolve, 1000)); // 等待1秒
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continue;
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} else {
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// 任务失败
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throw new Error(`任务失败: state=${result.data.state}`);
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}
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} else {
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throw new Error(`API返回错误: ${result.message || "未知错误"}`);
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}
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} catch (error) {
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if (attempt === maxAttempts - 1) {
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throw error;
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}
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await new Promise(resolve => setTimeout(resolve, 1000)); // 等待1秒后重试
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}
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}
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throw new Error("轮询超时，任务未在30秒内完成");
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}
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/**
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* 图片变清晰API路由
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* 从数据库读取变清晰API配置，调用外部API进行图片增强处理
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* 将处理后的图片上传到S3并保存到数据库
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*/
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export async function POST(request: NextRequest) {
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try {
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// 0. 获取用户会话
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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: "未授权，请先登录" },
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{ status: 401 }
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);
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}
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const userId = session.user.id;
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// 1. 从数据库获取变清晰API配置
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const enhanceConfig = await getSystemSetting({ key: "enhance_api_config" });
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if (!enhanceConfig || !enhanceConfig.value) {
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return NextResponse.json(
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{ error: "变清晰API配置未设置，请在系统设置中配置" },
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{ status: 400 }
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);
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}
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const config = enhanceConfig.value as {
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apiUrl?: string;
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apiKey?: string;
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type?: string; // "clean" | "face"
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scaleFactor?: number | string; // 1 | 2 | 4 | "auto"
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};
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if (!config.apiUrl || !config.apiKey) {
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return NextResponse.json(
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{ error: "变清晰API地址或密钥未配置" },
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{ status: 400 }
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);
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}
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// 2. 获取请求体（Base64图片或FormData）
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const contentType = request.headers.get("content-type") || "";
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let imageBase64: string;
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let prompt = ""; // 用户提示词（可选）
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let chatId: string | null = null; // 聊天ID（可选）
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let messageId: string | null = null; // 消息ID（可选）
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if (contentType.includes("application/json")) {
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// JSON格式：Base64图片
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const body = await request.json();
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imageBase64 = body.image_base64;
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prompt = body.prompt || "图片变清晰处理";
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chatId = body.chatId || null;
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messageId = body.messageId || null;
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if (!imageBase64) {
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return NextResponse.json(
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{ error: "缺少image_base64参数" },
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{ status: 400 }
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);
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}
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} else if (contentType.includes("multipart/form-data")) {
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// FormData格式：文件上传
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const formData = await request.formData();
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const file = formData.get("file") as File;
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if (!file) {
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return NextResponse.json(
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{ error: "缺少file参数" },
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{ status: 400 }
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);
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}
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// 将文件转换为Base64
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const arrayBuffer = await file.arrayBuffer();
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const buffer = Buffer.from(arrayBuffer);
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imageBase64 = buffer.toString("base64");
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prompt = (formData.get("prompt") as string) || "图片变清晰处理";
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chatId = (formData.get("chatId") as string) || null;
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messageId = (formData.get("messageId") as string) || null;
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} else {
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return NextResponse.json(
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{ error: "不支持的Content-Type，请使用application/json或multipart/form-data" },
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{ status: 400 }
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);
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}
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// 3. 调用变清晰API（使用同步模式）
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const apiUrl = config.apiUrl.endsWith("/")
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? config.apiUrl.slice(0, -1)
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: config.apiUrl;
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const enhanceUrl = `${apiUrl}/api/tasks/visual/scale`;
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// 将Base64转换为Buffer
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const imageBuffer = Buffer.from(imageBase64, "base64");
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// 创建FormData（使用form-data包，Node.js环境）
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const FormDataLib = await import("form-data");
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const formData = new FormDataLib.default();
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formData.append("image_file", imageBuffer, {
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filename: "image.jpg",
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contentType: "image/jpeg",
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});
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formData.append("sync", "1"); // 同步模式
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formData.append("type", config.type || "clean"); // 默认通用清晰化
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const scaleFactorValue = typeof config.scaleFactor === "number" ? config.scaleFactor : (config.scaleFactor === "auto" ? undefined : Number.parseInt(String(config.scaleFactor)));
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if (scaleFactorValue) {
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formData.append("scale_factor", String(scaleFactorValue));
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}
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formData.append("return_type", "2"); // 返回base64
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const headers: Record<string, string> = {
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"X-API-KEY": config.apiKey,
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...formData.getHeaders(), // 包含Content-Type和boundary
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};
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const startTime = Date.now();
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let response: Response;
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try {
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// 添加超时控制（60秒，因为同步模式可能需要更长时间）
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const controller = new AbortController();
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const timeoutId = setTimeout(() => controller.abort(), 60000);
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// 将FormData转换为Buffer（form-data包是stream）
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const formDataBuffer = await new Promise<Buffer>((resolve, reject) => {
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const chunks: Buffer[] = [];
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formData.on("data", (chunk: Buffer) => chunks.push(chunk));
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formData.on("end", () => resolve(Buffer.concat(chunks)));
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formData.on("error", reject);
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});
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// 将Buffer转换为Uint8Array用于fetch（更兼容）
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const uint8Array = new Uint8Array(formDataBuffer);
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response = await fetch(enhanceUrl, {
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method: "POST",
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headers,
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body: uint8Array,
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signal: controller.signal,
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});
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clearTimeout(timeoutId);
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} catch (fetchError) {
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const processingTime = (Date.now() - startTime) / 1000;
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console.error("[Enhance API] 网络请求失败:", {
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error: fetchError,
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enhanceUrl,
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processingTime,
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});
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// 检查是否是网络连接错误
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if (fetchError instanceof Error) {
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if (fetchError.name === 'AbortError') {
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return NextResponse.json(
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{
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error: "变清晰API请求超时",
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detail: "请求超过60秒未响应，请检查API服务器状态或网络连接",
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},
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{ status: 504 }
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);
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}
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// 检查错误消息和cause中的网络错误
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const errorMessage = fetchError.message || '';
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const errorCause = (fetchError as any).cause;
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const causeMessage = errorCause?.message || '';
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const causeCode = errorCause?.code || '';
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// 检查各种网络连接错误
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if (errorMessage.includes('EHOSTUNREACH') ||
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errorMessage.includes('ENOTFOUND') ||
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errorMessage.includes('ECONNREFUSED') ||
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errorMessage.includes('No route to host') ||
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causeMessage.includes('EHOSTUNREACH') ||
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causeMessage.includes('ENOTFOUND') ||
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causeMessage.includes('ECONNREFUSED') ||
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causeMessage.includes('No route to host') ||
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causeCode === 'EHOSTUNREACH' ||
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causeCode === 'ENOTFOUND' ||
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causeCode === 'ECONNREFUSED') {
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return NextResponse.json(
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{
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error: "无法连接到变清晰API服务器",
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detail: `服务器无法访问 ${enhanceUrl}，请检查：\n1. API服务器是否在线\n2. 网络连接是否正常\n3. 防火墙设置是否正确\n4. API地址和密钥是否正确`,
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},
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{ status: 503 }
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);
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}
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}
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return NextResponse.json(
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{
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error: "变清晰API请求失败",
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detail: fetchError instanceof Error ? fetchError.message : "未知网络错误",
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},
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{ status: 500 }
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);
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}
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const processingTime = (Date.now() - startTime) / 1000;
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if (!response.ok) {
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const errorText = await response.text();
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console.error("[Enhance API] 请求失败:", {
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status: response.status,
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statusText: response.statusText,
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error: errorText,
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enhanceUrl,
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});
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return NextResponse.json(
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{
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error: "变清晰API请求失败",
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detail: errorText || response.statusText,
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},
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{ status: response.status }
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);
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}
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const result = await response.json();
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// 4. 处理返回结果
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if (result.status !== 200 || !result.data) {
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return NextResponse.json(
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{ error: "变清晰处理失败", detail: result.message || "未知错误" },
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{ status: 500 }
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);
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}
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// 检查是否是异步任务（返回task_id）
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let enhancedImageBase64: string;
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let finalProcessingTime = processingTime;
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if (result.data.task_id && !result.data.image && !result.data.image_base64) {
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// 异步模式，需要轮询
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console.log(`[Enhance] 异步任务，task_id: ${result.data.task_id}`);
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const taskResult = await pollTaskResult(apiUrl, config.apiKey, result.data.task_id);
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if (taskResult.image_base64) {
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enhancedImageBase64 = taskResult.image_base64;
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} else if (taskResult.image) {
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// 返回的是URL，需要下载
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const imageResponse = await fetch(taskResult.image);
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const imageBuffer = await imageResponse.arrayBuffer();
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enhancedImageBase64 = Buffer.from(imageBuffer).toString("base64");
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} else {
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return NextResponse.json(
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{ error: "变清晰处理失败", detail: "轮询结果未包含图片数据" },
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{ status: 500 }
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);
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}
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finalProcessingTime = (Date.now() - startTime) / 1000;
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} else if (result.data.image_base64) {
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// 同步模式，直接返回base64
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enhancedImageBase64 = result.data.image_base64;
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} else if (result.data.image) {
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// 返回的是URL，需要下载
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const imageResponse = await fetch(result.data.image);
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if (!imageResponse.ok) {
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return NextResponse.json(
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{ error: "变清晰处理失败", detail: "无法下载处理后的图片" },
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{ status: 500 }
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);
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}
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const imageBuffer = await imageResponse.arrayBuffer();
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enhancedImageBase64 = Buffer.from(imageBuffer).toString("base64");
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} else {
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return NextResponse.json(
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{ error: "变清晰处理失败", detail: "API未返回处理后的图片" },
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{ status: 500 }
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);
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}
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if (!enhancedImageBase64) {
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return NextResponse.json(
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{ error: "变清晰处理失败", detail: "无法获取处理后的图片" },
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{ status: 500 }
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);
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}
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// 5. 上传处理后的图片到S3存储桶
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let thumbnailUrl: string;
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let originalUrl: string;
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try {
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const uploadResult = await uploadBase64ToS3(enhancedImageBase64, "image/jpeg");
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thumbnailUrl = uploadResult.thumbnail;
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originalUrl = uploadResult.original;
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console.log(`[Enhance] ✅ Images uploaded to S3 successfully`);
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} catch (uploadError) {
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console.error("[Enhance] ❌ Failed to upload to S3:", uploadError);
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return NextResponse.json(
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{
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error: "图片上传到存储桶失败",
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detail: uploadError instanceof Error ? uploadError.message : "未知错误"
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},
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{ status: 500 }
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);
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}
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// 6. 保存图片记录到数据库
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try {
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await db.insert(generatedImage).values({
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userId,
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chatId: chatId || null,
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messageId: messageId || null,
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thumbnailUrl,
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originalUrl,
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imageSize: "2K", // 默认尺寸
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prompt: prompt || "图片变清晰处理",
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modelId: "enhance-1.0", // 标记为变清晰处理
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});
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console.log(`[Enhance] ✅ Image record saved to database`);
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} catch (dbError) {
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console.error("[Enhance] ❌ Failed to save image record to database:", dbError);
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// 即使数据库保存失败，也返回成功（因为图片已上传到S3）
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}
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// 7. 返回结果（包含S3 URL和Base64，前端可以选择使用）
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return NextResponse.json({
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success: true,
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image_base64: enhancedImageBase64, // 保留Base64用于前端立即显示
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thumbnail_url: thumbnailUrl, // S3缩略图URL
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original_url: originalUrl, // S3原图URL
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processing_time: finalProcessingTime,
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});
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} catch (error) {
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console.error("[Enhance API] 处理错误:", error);
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return NextResponse.json(
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{ error: "服务器内部错误", detail: error instanceof Error ? error.message : "未知错误" },
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{ status: 500 }
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);
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}
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}
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