374 lines
11 KiB
TypeScript
374 lines
11 KiB
TypeScript
import {
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createMediaAssetRelation,
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getMediaAssetsByUserAndUrls,
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getSystemSetting,
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upsertMediaAsset,
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} from "@/lib/db/queries";
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import { executeConfiguredVip98kTask } from "@/lib/ai/vip98k-runtime";
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import { db } from "@/lib/db";
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import { generatedImage } from "@/lib/db/schema";
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import { uploadFile } from "@/lib/storage/service";
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type ExtendConfig = {
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provider?: "vip98k" | "dashscope";
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apiKey?: string;
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xScale?: number;
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yScale?: number;
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};
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export interface ExecuteExtendJobParams {
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userId: string;
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imageUrl?: string | null;
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imageBase64?: string | null;
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prompt?: string;
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chatId?: string | null;
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messageId?: string | null;
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xScale?: number;
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yScale?: number;
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includeBase64?: boolean;
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skipGallerySave?: boolean;
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sourceImageUrl?: string | null;
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requestId?: string | null;
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}
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export interface ExecuteExtendJobResult {
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image_base64?: string;
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thumbnail_url: string;
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original_url: string;
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processing_time: number;
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mediaAssetId?: string | null;
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generatedImageId?: string | null;
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}
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export class ExtendServiceError extends Error {
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status: number;
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detail?: string;
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constructor(message: string, status = 500, detail?: string) {
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super(message);
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this.name = "ExtendServiceError";
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this.status = status;
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this.detail = detail;
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}
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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 sharp = await import("sharp");
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return 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 })
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.toBuffer();
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} catch (error) {
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console.error("[Extend Service] Failed to create thumbnail:", error);
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return buffer;
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}
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}
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async function uploadBufferPairToS3(buffer: Buffer): Promise<{ thumbnail: string; original: string }> {
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try {
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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 = `extend-thumb-${timestamp}-${randomStr}.jpg`;
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const originalFilename = `extend-orig-${timestamp}-${randomStr}.jpg`;
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const thumbnailBuffer = await createThumbnail(buffer);
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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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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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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("[Extend Service] Failed to upload to S3:", error);
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throw new ExtendServiceError(
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"图片上传到存储桶失败",
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500,
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error instanceof Error ? error.message : "未知错误",
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);
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}
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}
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async function uploadImageToS3ForAPI(imageBase64: string): Promise<string> {
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try {
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const buffer = Buffer.from(imageBase64, "base64");
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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 filename = `extend-input-${timestamp}-${randomStr}.jpg`;
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const arrayBuffer = 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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const result = await uploadFile(filename, arrayBuffer);
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return result.url;
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} catch (error) {
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console.error("[Extend Service] Failed to upload input to S3:", error);
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throw new ExtendServiceError(
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"图片上传到存储桶失败",
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500,
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error instanceof Error ? error.message : "未知错误",
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);
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}
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}
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async function extendImage(
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imageUrl: string,
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config: ExtendConfig,
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xScale: number,
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yScale: number,
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): Promise<string> {
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if (config.provider === "vip98k") {
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const result = await executeConfiguredVip98kTask({
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modelId: "image-expansion",
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kind: "image-tool",
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prompt: `Expand the image canvas naturally to ${xScale}x width and ${yScale}x height. Preserve the original subject, perspective, lighting and style.`,
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imageUrls: [imageUrl],
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imageParams: { xScale, yScale },
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});
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const outputUrl = result.outputUrls[0];
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if (!outputUrl) {
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throw new ExtendServiceError("VIP98K 图像拓展未返回图片", 502);
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}
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return outputUrl;
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}
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if (!config.apiKey) {
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throw new ExtendServiceError("图像拓展API密钥未配置", 400);
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}
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const requestBody = {
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model: "image-out-painting",
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input: {
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image_url: imageUrl,
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},
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parameters: {
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x_scale: xScale,
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y_scale: yScale,
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best_quality: false,
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limit_image_size: true,
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add_watermark: false,
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},
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};
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const response = await fetch(
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"https://dashscope.aliyuncs.com/api/v1/services/aigc/image2image/out-painting",
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{
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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 ${config.apiKey}`,
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"X-DashScope-Async": "enable",
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},
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body: JSON.stringify(requestBody),
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},
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);
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const initialResult = await response.json();
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if (initialResult.code) {
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throw new ExtendServiceError(
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"图像拓展API错误",
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500,
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initialResult.message || JSON.stringify(initialResult),
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);
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}
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const taskId = initialResult.output.task_id;
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const taskStatusUrl = `https://dashscope.aliyuncs.com/api/v1/tasks/${taskId}`;
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await new Promise((resolve) => setTimeout(resolve, 3000));
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for (let attempt = 0; attempt < 60; attempt += 1) {
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const statusResponse = await fetch(taskStatusUrl, {
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headers: {
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Authorization: `Bearer ${config.apiKey}`,
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},
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});
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const result = await statusResponse.json();
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if (result.output?.task_status === "SUCCEEDED") {
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return result.output.output_image_url;
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}
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if (result.output?.task_status === "FAILED") {
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throw new ExtendServiceError(
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"图像拓展任务失败",
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500,
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result.output.message || result.output.code || "未知错误",
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);
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}
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await new Promise((resolve) => setTimeout(resolve, 2000));
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}
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throw new ExtendServiceError("图像拓展任务超时", 500);
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}
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export function inferExtendOptionsFromText(text: string): Pick<ExecuteExtendJobParams, "xScale" | "yScale"> {
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const normalizedText = String(text || "").toLowerCase();
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const scaleMatch = normalizedText.match(/([1-4](?:\.\d+)?)\s*倍/);
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const scale = scaleMatch ? Number(scaleMatch[1]) : undefined;
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return {
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xScale: scale,
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yScale: scale,
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};
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}
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async function getValidatedExtendConfig(): Promise<ExtendConfig> {
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const extendConfig = await getSystemSetting({ key: "extend_api_config" });
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if (!extendConfig || !extendConfig.value) {
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throw new ExtendServiceError("图像拓展API配置未设置，请在系统设置中配置", 400);
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}
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const config = extendConfig.value as ExtendConfig;
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if (config.provider !== "vip98k" && !config.apiKey) {
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throw new ExtendServiceError("图像拓展API密钥未配置", 400);
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}
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return config;
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}
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export async function executeExtendJob(
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params: ExecuteExtendJobParams,
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): Promise<ExecuteExtendJobResult> {
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const {
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userId,
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imageUrl = null,
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imageBase64 = null,
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prompt = "图像拓展处理",
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chatId = null,
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messageId = null,
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includeBase64 = false,
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skipGallerySave = false,
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sourceImageUrl = imageUrl || null,
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requestId = null,
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} = params;
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if (!imageUrl && !imageBase64) {
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throw new ExtendServiceError("缺少 image_url 或 image_base64 参数", 400);
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}
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const config = await getValidatedExtendConfig();
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const xScale = Math.max(1.1, Math.min(Number(params.xScale || config.xScale || 1.5), 4));
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const yScale = Math.max(1.1, Math.min(Number(params.yScale || config.yScale || 1.5), 4));
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const inputImageUrl = imageUrl || (imageBase64 ? await uploadImageToS3ForAPI(imageBase64) : "");
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if (!inputImageUrl) {
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throw new ExtendServiceError("无法获取输入图片URL", 400);
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}
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const startTime = Date.now();
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const extendedImageUrl = await extendImage(inputImageUrl, config, xScale, yScale);
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const imageResponse = await fetch(extendedImageUrl);
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if (!imageResponse.ok) {
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throw new ExtendServiceError(
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"下载拓展图片失败",
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500,
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`${imageResponse.status} ${imageResponse.statusText}`,
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);
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}
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const buffer = Buffer.from(await imageResponse.arrayBuffer());
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const imageBase64Result = includeBase64 ? buffer.toString("base64") : undefined;
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const uploadResult = await uploadBufferPairToS3(buffer);
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console.log("[Extend Service] Result uploaded:", {
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requestId,
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includeBase64,
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inputImageUrl: inputImageUrl.slice(0, 120),
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extendedImageUrl: extendedImageUrl.slice(0, 120),
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outputBytes: buffer.length,
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});
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let mediaAssetId: string | null = null;
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let generatedImageId: string | null = null;
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if (!skipGallerySave) {
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try {
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const [savedImage] = await db
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.insert(generatedImage)
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.values({
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userId,
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chatId,
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messageId,
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thumbnailUrl: uploadResult.thumbnail,
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originalUrl: uploadResult.original,
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prompt,
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modelId: config.provider === "vip98k" ? "image-expansion" : "extend-1.0",
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imageSize: "2K",
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})
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.returning();
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generatedImageId = savedImage?.id || null;
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const sourceAssets = sourceImageUrl
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? await getMediaAssetsByUserAndUrls({
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userId,
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urls: [sourceImageUrl],
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})
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: [];
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const media = await upsertMediaAsset({
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userId,
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chatId,
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mediaType: "image",
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sourceType: "edited",
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status: "ready",
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originalUrl: uploadResult.original,
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previewUrl: uploadResult.original,
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thumbnailUrl: uploadResult.thumbnail,
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displayName: prompt.slice(0, 80),
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prompt,
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modelId: config.provider === "vip98k" ? "image-expansion" : "extend-1.0",
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sourceMessageId: messageId,
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sourceTable: "GeneratedImage",
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sourceRowId: generatedImageId,
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primaryParentAssetId: sourceAssets[0]?.id ?? null,
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metadata: {
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xScale,
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yScale,
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imageSize: "2K",
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},
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});
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mediaAssetId = media?.id || null;
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if (media?.id && sourceAssets.length > 0) {
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for (const sourceAsset of sourceAssets) {
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await createMediaAssetRelation({
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userId,
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chatId,
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fromAssetId: sourceAsset.id,
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toAssetId: media.id,
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relationType: "edited_from",
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sourceMessageId: messageId,
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metadata: {
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prompt,
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tool: "extend",
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xScale,
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yScale,
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},
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});
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}
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}
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} catch (error) {
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console.error("[Extend Service] Failed to save result:", error);
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throw new ExtendServiceError(
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"图像拓展成功但保存结果失败",
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500,
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error instanceof Error ? error.message : "未知错误",
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);
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}
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}
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return {
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image_base64: imageBase64Result,
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thumbnail_url: uploadResult.thumbnail,
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original_url: uploadResult.original,
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processing_time: Number(((Date.now() - startTime) / 1000).toFixed(2)),
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mediaAssetId,
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generatedImageId,
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};
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}
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