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https://github.com/danny-avila/LibreChat.git
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* WIP: gemini-1.5 support * feat: extended vertex ai support * fix: handle possibly undefined modelName * fix: gpt-4-turbo-preview invalid vision model * feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type * feat: better truncation for errors including base64 strings * fix: gemini inlineData formatting * feat: RAG augmented prompt for gemini-1.5 * feat: gemini-1.5 rates and token window * chore: adjust tokens, update docs, update vision Models * chore: add back `ChatGoogleVertexAI` for chat models via vertex ai * refactor: ask/edit controllers to not use `unfinished` field for google endpoint * chore: remove comment * chore(ci): fix AppService test * chore: remove comment * refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable * chore: bump data-provider to 0.5.4 * chore: update docs * fix: condition for gemini-1.5 using generative ai lib * chore: update docs * ci: add additional AppService test for `imageOutputType` * refactor: optimize new config value `imageOutputType` * chore: bump CONFIG_VERSION * fix(assistants): avatar upload
112 lines
4.5 KiB
JavaScript
112 lines
4.5 KiB
JavaScript
const fs = require('fs');
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const path = require('path');
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const sharp = require('sharp');
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const { resizeImageBuffer } = require('../images/resize');
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const { updateUser } = require('~/models/userMethods');
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const { saveBufferToFirebase } = require('./crud');
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const { updateFile } = require('~/models/File');
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const { logger } = require('~/config');
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/**
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* Converts an image file to the target format. The function first resizes the image based on the specified
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* resolution.
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*
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* @param {Object} params - The params object.
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* @param {Express.Request} params.req - The request object from Express. It should have a `user` property with an `id`
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* representing the user, and an `app.locals.paths` object with an `imageOutput` path.
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* @param {Express.Multer.File} params.file - The file object, which is part of the request. The file object should
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* have a `path` property that points to the location of the uploaded file.
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* @param {EModelEndpoint} params.endpoint - The params object.
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* @param {string} [params.resolution='high'] - Optional. The desired resolution for the image resizing. Default is 'high'.
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*
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* @returns {Promise<{ filepath: string, bytes: number, width: number, height: number}>}
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* A promise that resolves to an object containing:
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* - filepath: The path where the converted image is saved.
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* - bytes: The size of the converted image in bytes.
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* - width: The width of the converted image.
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* - height: The height of the converted image.
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*/
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async function uploadImageToFirebase({ req, file, file_id, endpoint, resolution = 'high' }) {
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const inputFilePath = file.path;
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const inputBuffer = await fs.promises.readFile(inputFilePath);
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const {
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buffer: resizedBuffer,
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width,
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height,
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} = await resizeImageBuffer(inputBuffer, resolution, endpoint);
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const extension = path.extname(inputFilePath);
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const userId = req.user.id;
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let webPBuffer;
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let fileName = `${file_id}__${path.basename(inputFilePath)}`;
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const targetExtension = `.${req.app.locals.imageOutputType}`;
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if (extension.toLowerCase() === targetExtension) {
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webPBuffer = resizedBuffer;
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} else {
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webPBuffer = await sharp(resizedBuffer).toFormat(req.app.locals.imageOutputType).toBuffer();
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// Replace or append the correct extension
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const extRegExp = new RegExp(path.extname(fileName) + '$');
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fileName = fileName.replace(extRegExp, targetExtension);
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if (!path.extname(fileName)) {
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fileName += targetExtension;
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}
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}
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const downloadURL = await saveBufferToFirebase({ userId, buffer: webPBuffer, fileName });
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await fs.promises.unlink(inputFilePath);
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const bytes = Buffer.byteLength(webPBuffer);
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return { filepath: downloadURL, bytes, width, height };
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}
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/**
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* Local: Updates the file and returns the URL in expected order/format
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* for image payload handling: tuple order of [filepath, URL].
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* @param {Object} req - The request object.
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* @param {MongoFile} file - The file object.
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* @returns {Promise<[MongoFile, string]>} - A promise that resolves to an array of results from updateFile and encodeImage.
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*/
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async function prepareImageURL(req, file) {
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const { filepath } = file;
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const promises = [];
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promises.push(updateFile({ file_id: file.file_id }));
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promises.push(filepath);
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return await Promise.all(promises);
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}
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/**
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* Uploads a user's avatar to Firebase Storage and returns the URL.
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* If the 'manual' flag is set to 'true', it also updates the user's avatar URL in the database.
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*
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* @param {object} params - The parameters object.
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* @param {Buffer} params.buffer - The Buffer containing the avatar image.
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* @param {string} params.userId - The user ID.
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* @param {string} params.manual - A string flag indicating whether the update is manual ('true' or 'false').
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* @returns {Promise<string>} - A promise that resolves with the URL of the uploaded avatar.
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* @throws {Error} - Throws an error if Firebase is not initialized or if there is an error in uploading.
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*/
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async function processFirebaseAvatar({ buffer, userId, manual }) {
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try {
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const downloadURL = await saveBufferToFirebase({
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userId,
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buffer,
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fileName: 'avatar.png',
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});
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const isManual = manual === 'true';
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const url = `${downloadURL}?manual=${isManual}`;
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if (isManual) {
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await updateUser(userId, { avatar: url });
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}
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return url;
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} catch (error) {
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logger.error('Error uploading profile picture:', error);
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throw error;
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}
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}
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module.exports = { uploadImageToFirebase, prepareImageURL, processFirebaseAvatar };
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