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

201 lines
6 KiB
JavaScript

const axios = require('axios');
const {
FileSources,
VisionModes,
ImageDetail,
ContentTypes,
EModelEndpoint,
} = require('librechat-data-provider');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const { logger } = require('~/config');
/**
* Fetches an image from a URL and returns its base64 representation.
*
* @async
* @param {string} url The URL of the image.
* @returns {Promise<string>} The base64-encoded string of the image.
* @throws {Error} If there's an issue fetching the image or encoding it.
*/
async function fetchImageToBase64(url) {
try {
const response = await axios.get(url, {
responseType: 'arraybuffer',
});
return Buffer.from(response.data).toString('base64');
} catch (error) {
logger.error('Error fetching image to convert to base64', error);
throw error;
}
}
const base64Only = new Set([
EModelEndpoint.google,
EModelEndpoint.anthropic,
'Ollama',
'ollama',
EModelEndpoint.bedrock,
]);
const blobStorageSources = new Set([FileSources.azure, FileSources.s3]);
/**
* Encodes and formats the given files.
* @param {Express.Request} req - The request object.
* @param {Array<MongoFile>} files - The array of files to encode and format.
* @param {EModelEndpoint} [endpoint] - Optional: The endpoint for the image.
* @param {string} [mode] - Optional: The endpoint mode for the image.
* @returns {Promise<{ text: string; files: MongoFile[]; image_urls: MessageContentImageUrl[] }>} - A promise that resolves to the result object containing the encoded images and file details.
*/
async function encodeAndFormat(req, files, endpoint, mode) {
const promises = [];
/** @type {Record<FileSources, Pick<ReturnType<typeof getStrategyFunctions>, 'prepareImagePayload' | 'getDownloadStream'>>} */
const encodingMethods = {};
/** @type {{ text: string; files: MongoFile[]; image_urls: MessageContentImageUrl[] }} */
const result = {
text: '',
files: [],
image_urls: [],
};
if (!files || !files.length) {
return result;
}
for (let file of files) {
/** @type {FileSources} */
const source = file.source ?? FileSources.local;
if (source === FileSources.text && file.text) {
result.text += `${!result.text ? 'Attached document(s):\n```md' : '\n\n---\n\n'}# "${file.filename}"\n${file.text}\n`;
}
if (!file.height) {
promises.push([file, null]);
continue;
}
if (!encodingMethods[source]) {
const { prepareImagePayload, getDownloadStream } = getStrategyFunctions(source);
if (!prepareImagePayload) {
throw new Error(`Encoding function not implemented for ${source}`);
}
encodingMethods[source] = { prepareImagePayload, getDownloadStream };
}
const preparePayload = encodingMethods[source].prepareImagePayload;
/* We need to fetch the image and convert it to base64 if we are using S3/Azure Blob storage. */
if (blobStorageSources.has(source)) {
try {
const downloadStream = encodingMethods[source].getDownloadStream;
const stream = await downloadStream(req, file.filepath);
const streamPromise = new Promise((resolve, reject) => {
/** @type {Uint8Array[]} */
const chunks = [];
stream.on('readable', () => {
let chunk;
while (null !== (chunk = stream.read())) {
chunks.push(chunk);
}
});
stream.on('end', () => {
const buffer = Buffer.concat(chunks);
const base64Data = buffer.toString('base64');
resolve(base64Data);
});
stream.on('error', (error) => {
reject(error);
});
});
const base64Data = await streamPromise;
promises.push([file, base64Data]);
} catch (error) {
logger.error(
`Error processing blob storage file stream for ${file.name} base64 payload:`,
error,
);
continue;
}
/* Google & Anthropic don't support passing URLs to payload */
} else if (source !== FileSources.local && base64Only.has(endpoint)) {
const [_file, imageURL] = await preparePayload(req, file);
promises.push([_file, await fetchImageToBase64(imageURL)]);
continue;
}
promises.push(preparePayload(req, file));
}
if (result.text) {
result.text += '\n```';
}
const detail = req.body.imageDetail ?? ImageDetail.auto;
/** @type {Array<[MongoFile, string]>} */
const formattedImages = await Promise.all(promises);
for (const [file, imageContent] of formattedImages) {
const fileMetadata = {
type: file.type,
file_id: file.file_id,
filepath: file.filepath,
filename: file.filename,
embedded: !!file.embedded,
metadata: file.metadata,
};
if (file.height && file.width) {
fileMetadata.height = file.height;
fileMetadata.width = file.width;
}
if (!imageContent) {
result.files.push(fileMetadata);
continue;
}
const imagePart = {
type: ContentTypes.IMAGE_URL,
image_url: {
url: imageContent.startsWith('http')
? imageContent
: `data:${file.type};base64,${imageContent}`,
detail,
},
};
if (mode === VisionModes.agents) {
result.image_urls.push(imagePart);
result.files.push(fileMetadata);
continue;
}
if (endpoint && endpoint === EModelEndpoint.google && mode === VisionModes.generative) {
delete imagePart.image_url;
imagePart.inlineData = {
mimeType: file.type,
data: imageContent,
};
} else if (endpoint && endpoint === EModelEndpoint.google) {
imagePart.image_url = imagePart.image_url.url;
} else if (endpoint && endpoint === EModelEndpoint.anthropic) {
imagePart.type = 'image';
imagePart.source = {
type: 'base64',
media_type: file.type,
data: imageContent,
};
delete imagePart.image_url;
}
result.image_urls.push(imagePart);
result.files.push(fileMetadata);
}
return result;
}
module.exports = {
encodeAndFormat,
};