mirror of
https://github.com/Yidadaa/ChatGPT-Next-Web.git
synced 2025-08-08 19:52:27 +08:00
feat: 1. using cache storage store image data; 2. get base64image before chat to api #5013
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@@ -1,4 +1,5 @@
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import heic2any from "heic2any";
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import { CACHE_URL_PREFIX, UPLOAD_URL } from "@/app/constant";
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// import heic2any from "heic2any";
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export function compressImage(file: File, maxSize: number): Promise<string> {
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return new Promise((resolve, reject) => {
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@@ -40,6 +41,7 @@ export function compressImage(file: File, maxSize: number): Promise<string> {
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reader.onerror = reject;
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if (file.type.includes("heic")) {
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const heic2any = require("heic2any");
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heic2any({ blob: file, toType: "image/jpeg" })
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.then((blob) => {
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reader.readAsDataURL(blob as Blob);
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@@ -52,3 +54,78 @@ export function compressImage(file: File, maxSize: number): Promise<string> {
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reader.readAsDataURL(file);
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});
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}
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export async function preProcessImageContent(
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content: RequestMessage["content"],
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) {
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if (typeof content === "string") {
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return content;
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}
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const result = [];
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for (const part of content) {
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if (part?.type == "image_url" && part?.image_url?.url) {
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const url = await cacheImageToBase64Image(part?.image_url?.url);
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result.push({ type: part.type, image_url: { url } });
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} else {
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result.push({ ...part });
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}
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}
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return result;
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}
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const imageCaches = {};
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export function cacheImageToBase64Image(imageUrl: string) {
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if (imageUrl.includes(CACHE_URL_PREFIX)) {
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if (!imageCaches[imageUrl]) {
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const reader = new FileReader();
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return fetch(imageUrl, {
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method: "GET",
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mode: "cors",
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credentials: "include",
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})
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.then((res) => res.blob())
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.then(
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(blob) => (imageCaches[imageUrl] = compressImage(blob, 256 * 1024)),
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); // compressImage
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}
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return Promise.resolve(imageCaches[imageUrl]);
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}
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return imageUrl;
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}
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export function base64Image2Blob(base64Data: string, contentType: string) {
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const byteCharacters = atob(base64Data);
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const byteNumbers = new Array(byteCharacters.length);
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for (let i = 0; i < byteCharacters.length; i++) {
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byteNumbers[i] = byteCharacters.charCodeAt(i);
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}
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const byteArray = new Uint8Array(byteNumbers);
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return new Blob([byteArray], { type: contentType });
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}
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export function uploadImage(file: File): Promise<string> {
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const body = new FormData();
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body.append("file", file);
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return fetch(UPLOAD_URL, {
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method: "post",
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body,
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mode: "cors",
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credentials: "include",
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})
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.then((res) => res.json())
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.then((res) => {
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console.log("res", res);
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if (res?.code == 0 && res?.data) {
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return res?.data;
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}
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throw Error(`upload Error: ${res?.msg}`);
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});
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}
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export function removeImage(imageUrl: string) {
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return fetch(imageUrl, {
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method: "DELETE",
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mode: "cors",
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credentials: "include",
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});
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}
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