LibreChat/api/server/services/Files/images/encode.js
Danny Avila 9a210971f5
🛜 refactor: Streamline App Config Usage (#9234)
* WIP: app.locals refactoring

WIP: appConfig

fix: update memory configuration retrieval to use getAppConfig based on user role

fix: update comment for AppConfig interface to clarify purpose

🏷️ refactor: Update tests to use getAppConfig for endpoint configurations

ci: Update AppService tests to initialize app config instead of app.locals

ci: Integrate getAppConfig into remaining tests

refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests

refactor: Rename initializeAppConfig to setAppConfig and update related tests

ci: Mock getAppConfig in various tests to provide default configurations

refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests

chore: rename `Config/getAppConfig` -> `Config/app`

fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters

chore: correct parameter documentation for imageOutputType in ToolService.js

refactor: remove `getCustomConfig` dependency in config route

refactor: update domain validation to use appConfig for allowed domains

refactor: use appConfig registration property

chore: remove app parameter from AppService invocation

refactor: update AppConfig interface to correct registration and turnstile configurations

refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services

refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files

refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type

refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration

ci: update related tests

refactor: update getAppConfig call in getCustomConfigSpeech to include user role

fix: update appConfig usage to access allowedDomains from actions instead of registration

refactor: enhance AppConfig to include fileStrategies and update related file strategy logic

refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions

chore: remove deprecated unused RunManager

refactor: get balance config primarily from appConfig

refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic

refactor: remove getCustomConfig usage and use app config in file citations

refactor: consolidate endpoint loading logic into loadEndpoints function

refactor: update appConfig access to use endpoints structure across various services

refactor: implement custom endpoints configuration and streamline endpoint loading logic

refactor: update getAppConfig call to include user role parameter

refactor: streamline endpoint configuration and enhance appConfig usage across services

refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file

refactor: add type annotation for loadedEndpoints in loadEndpoints function

refactor: move /services/Files/images/parse to TS API

chore: add missing FILE_CITATIONS permission to IRole interface

refactor: restructure toolkits to TS API

refactor: separate manifest logic into its own module

refactor: consolidate tool loading logic into a new tools module for startup logic

refactor: move interface config logic to TS API

refactor: migrate checkEmailConfig to TypeScript and update imports

refactor: add FunctionTool interface and availableTools to AppConfig

refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig`

WIP: fix tests

* fix: rebase conflicts

* refactor: remove app.locals references

* refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware

* refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients

* test: add balance configuration to titleConvo method in AgentClient tests

* chore: remove unused `openai-chat-tokens` package

* chore: remove unused imports in initializeMCPs.js

* refactor: update balance configuration to use getAppConfig instead of getBalanceConfig

* refactor: integrate configMiddleware for centralized configuration handling

* refactor: optimize email domain validation by removing unnecessary async calls

* refactor: simplify multer storage configuration by removing async calls

* refactor: reorder imports for better readability in user.js

* refactor: replace getAppConfig calls with req.config for improved performance

* chore: replace getAppConfig calls with req.config in tests for centralized configuration handling

* chore: remove unused override config

* refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config

* chore: remove customConfig parameter from TTSService constructor

* refactor: pass appConfig from request to processFileCitations for improved configuration handling

* refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config`

* test: add mockAppConfig to processFileCitations tests for improved configuration handling

* fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor

* fix: type safety in useExportConversation

* refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached

* chore: change `MongoUser` typedef to `IUser`

* fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest

* fix: remove unused setAppConfig mock from Server configuration tests
2025-08-26 12:10:18 -04:00

221 lines
6.6 KiB
JavaScript

const axios = require('axios');
const { logAxiosError } = require('@librechat/api');
const {
FileSources,
VisionModes,
ImageDetail,
ContentTypes,
EModelEndpoint,
} = require('librechat-data-provider');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
/**
* Converts a readable stream to a base64 encoded string.
*
* @param {NodeJS.ReadableStream} stream - The readable stream to convert.
* @param {boolean} [destroyStream=true] - Whether to destroy the stream after processing.
* @returns {Promise<string>} - Promise resolving to the base64 encoded content.
*/
async function streamToBase64(stream, destroyStream = true) {
return new Promise((resolve, reject) => {
const chunks = [];
stream.on('data', (chunk) => {
chunks.push(chunk);
});
stream.on('end', () => {
try {
const buffer = Buffer.concat(chunks);
const base64Data = buffer.toString('base64');
chunks.length = 0; // Clear the array
resolve(base64Data);
} catch (err) {
reject(err);
}
});
stream.on('error', (error) => {
chunks.length = 0;
reject(error);
});
}).finally(() => {
// Clean up the stream if required
if (destroyStream && stream.destroy && typeof stream.destroy === 'function') {
stream.destroy();
}
});
}
/**
* 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',
});
const base64Data = Buffer.from(response.data).toString('base64');
response.data = null;
return base64Data;
} catch (error) {
const message = 'Error fetching image to convert to base64';
throw new Error(logAxiosError({ message, error }));
}
}
const base64Only = new Set([
EModelEndpoint.google,
EModelEndpoint.anthropic,
'Ollama',
'ollama',
EModelEndpoint.bedrock,
]);
const blobStorageSources = new Set([FileSources.azure_blob, FileSources.s3]);
/**
* Encodes and formats the given files.
* @param {ServerRequest} 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 ${source}`);
}
encodingMethods[source] = { prepareImagePayload, getDownloadStream };
}
const preparePayload = encodingMethods[source].prepareImagePayload;
/* We need to fetch the image and convert it to base64 if we are using S3/Azure Blob storage. */
if (blobStorageSources.has(source)) {
try {
const downloadStream = encodingMethods[source].getDownloadStream;
let stream = await downloadStream(req, file.filepath);
let base64Data = await streamToBase64(stream);
stream = null;
promises.push([file, base64Data]);
base64Data = null;
continue;
} catch (error) {
// Error handling code
}
} else if (source !== FileSources.local && base64Only.has(endpoint)) {
const [_file, imageURL] = await preparePayload(req, file);
promises.push([_file, await fetchImageToBase64(imageURL)]);
continue;
}
promises.push(preparePayload(req, file));
}
if (result.text) {
result.text += '\n```';
}
const detail = req.body.imageDetail ?? ImageDetail.auto;
/** @type {Array<[MongoFile, string]>} */
const formattedImages = await Promise.all(promises);
promises.length = 0;
for (const [file, imageContent] of formattedImages) {
const fileMetadata = {
type: file.type,
file_id: file.file_id,
filepath: file.filepath,
filename: file.filename,
embedded: !!file.embedded,
metadata: file.metadata,
};
if (file.height && file.width) {
fileMetadata.height = file.height;
fileMetadata.width = file.width;
}
if (!imageContent) {
result.files.push(fileMetadata);
continue;
}
const imagePart = {
type: ContentTypes.IMAGE_URL,
image_url: {
url: imageContent.startsWith('http')
? imageContent
: `data:${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 });
}
formattedImages.length = 0;
return { ...result };
}
module.exports = {
encodeAndFormat,
};