LibreChat/api/server/services/Files/Azure/images.js

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JavaScript
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const fs = require('fs');
const path = require('path');
const sharp = require('sharp');
const { resizeImageBuffer } = require('../images/resize');
const { updateUser } = require('~/models/userMethods');
const { updateFile } = require('~/models/File');
const { logger } = require('~/config');
const { saveBufferToAzure } = require('./crud');
/**
* Uploads an image file to Azure Blob Storage.
* It resizes and converts the image similar to your Firebase implementation.
*
* @param {Object} params
* @param {object} params.req - The Express request object.
* @param {Express.Multer.File} params.file - The file object.
* @param {string} params.file_id - The file id.
* @param {EModelEndpoint} params.endpoint - The endpoint parameters.
* @param {string} [params.resolution='high'] - The image resolution.
* @param {string} [params.basePath='images'] - The base folder within the container.
* @param {string} [params.containerName] - The Azure Blob container name.
* @returns {Promise<{ filepath: string, bytes: number, width: number, height: number }>}
*/
async function uploadImageToAzure({
req,
file,
file_id,
endpoint,
resolution = 'high',
basePath = 'images',
containerName,
}) {
try {
const inputFilePath = file.path;
const inputBuffer = await fs.promises.readFile(inputFilePath);
const {
buffer: resizedBuffer,
width,
height,
} = await resizeImageBuffer(inputBuffer, resolution, endpoint);
const extension = path.extname(inputFilePath);
const userId = req.user.id;
let webPBuffer;
let fileName = `${file_id}__${path.basename(inputFilePath)}`;
const targetExtension = `.${req.app.locals.imageOutputType}`;
if (extension.toLowerCase() === targetExtension) {
webPBuffer = resizedBuffer;
} else {
webPBuffer = await sharp(resizedBuffer).toFormat(req.app.locals.imageOutputType).toBuffer();
const extRegExp = new RegExp(path.extname(fileName) + '$');
fileName = fileName.replace(extRegExp, targetExtension);
if (!path.extname(fileName)) {
fileName += targetExtension;
}
}
const downloadURL = await saveBufferToAzure({
userId,
buffer: webPBuffer,
fileName,
basePath,
containerName,
});
await fs.promises.unlink(inputFilePath);
const bytes = Buffer.byteLength(webPBuffer);
return { filepath: downloadURL, bytes, width, height };
} catch (error) {
logger.error('[uploadImageToAzure] Error uploading image:', error);
throw error;
}
}
/**
* Prepares the image URL and updates the file record.
*
* @param {object} req - The Express request object.
* @param {MongoFile} file - The file object.
* @returns {Promise<[MongoFile, string]>}
*/
async function prepareAzureImageURL(req, file) {
const { filepath } = file;
const promises = [];
promises.push(updateFile({ file_id: file.file_id }));
promises.push(filepath);
return await Promise.all(promises);
}
/**
* Uploads and processes a user's avatar to Azure Blob Storage.
*
* @param {Object} params
* @param {Buffer} params.buffer - The avatar image buffer.
* @param {string} params.userId - The user's id.
* @param {string} params.manual - Flag to indicate manual update.
* @param {string} [params.basePath='images'] - The base folder within the container.
* @param {string} [params.containerName] - The Azure Blob container name.
* @returns {Promise<string>} The URL of the avatar.
*/
async function processAzureAvatar({ buffer, userId, manual, basePath = 'images', containerName }) {
try {
const downloadURL = await saveBufferToAzure({
userId,
buffer,
fileName: 'avatar.png',
basePath,
containerName,
});
const isManual = manual === 'true';
const url = `${downloadURL}?manual=${isManual}`;
if (isManual) {
await updateUser(userId, { avatar: url });
}
return url;
} catch (error) {
logger.error('[processAzureAvatar] Error uploading profile picture to Azure:', error);
throw error;
}
}
module.exports = {
uploadImageToAzure,
prepareAzureImageURL,
processAzureAvatar,
};