LibreChat/api/server/services/Files/images/convert.js
Danny Avila 9d854dac07
🤖 feat: Gemini 1.5 Support (+Vertex AI) (#2383)
* 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
2024-04-16 08:32:40 -04:00

70 lines
2.6 KiB
JavaScript

const fs = require('fs');
const path = require('path');
const sharp = require('sharp');
const { resizeImageBuffer } = require('./resize');
const { getStrategyFunctions } = require('../strategies');
const { logger } = require('~/config');
/**
* Converts an image file or buffer to target output type with specified resolution.
*
* @param {Express.Request} req - The request object, containing user and app configuration data.
* @param {Buffer | Express.Multer.File} file - The file object, containing either a path or a buffer.
* @param {'low' | 'high'} [resolution='high'] - The desired resolution for the output image.
* @param {string} [basename=''] - The basename of the input file, if it is a buffer.
* @returns {Promise<{filepath: string, bytes: number, width: number, height: number}>} An object containing the path, size, and dimensions of the converted image.
* @throws Throws an error if there is an issue during the conversion process.
*/
async function convertImage(req, file, resolution = 'high', basename = '') {
try {
let inputBuffer;
let outputBuffer;
let extension = path.extname(file.path ?? basename).toLowerCase();
// Check if the input is a buffer or a file path
if (Buffer.isBuffer(file)) {
inputBuffer = file;
} else if (file && file.path) {
const inputFilePath = file.path;
inputBuffer = await fs.promises.readFile(inputFilePath);
} else {
throw new Error('Invalid input: file must be a buffer or contain a valid path.');
}
// Resize the image buffer
const {
buffer: resizedBuffer,
width,
height,
} = await resizeImageBuffer(inputBuffer, resolution);
// Check if the file is already in target format; if it isn't, convert it:
const targetExtension = `.${req.app.locals.imageOutputType}`;
if (extension === targetExtension) {
outputBuffer = resizedBuffer;
} else {
outputBuffer = await sharp(resizedBuffer).toFormat(req.app.locals.imageOutputType).toBuffer();
extension = targetExtension;
}
// Generate a new filename for the output file
const newFileName =
path.basename(file.path ?? basename, path.extname(file.path ?? basename)) + extension;
const { saveBuffer } = getStrategyFunctions(req.app.locals.fileStrategy);
const savedFilePath = await saveBuffer({
userId: req.user.id,
buffer: outputBuffer,
fileName: newFileName,
});
const bytes = Buffer.byteLength(outputBuffer);
return { filepath: savedFilePath, bytes, width, height };
} catch (err) {
logger.error(err);
throw err;
}
}
module.exports = { convertImage };