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🛜 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
This commit is contained in:
parent
e1ad235f17
commit
9a210971f5
210 changed files with 4102 additions and 3465 deletions
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@ -16,8 +16,8 @@ const {
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removeNullishValues,
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isAssistantsEndpoint,
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} = require('librechat-data-provider');
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const { sanitizeFilename } = require('@librechat/api');
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const { EnvVar } = require('@librechat/agents');
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const { sanitizeFilename } = require('@librechat/api');
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const {
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convertImage,
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resizeAndConvert,
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@ -28,10 +28,10 @@ const { addAgentResourceFile, removeAgentResourceFiles } = require('~/models/Age
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const { getOpenAIClient } = require('~/server/controllers/assistants/helpers');
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const { createFile, updateFileUsage, deleteFiles } = require('~/models/File');
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const { loadAuthValues } = require('~/server/services/Tools/credentials');
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const { getFileStrategy } = require('~/server/utils/getFileStrategy');
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const { checkCapability } = require('~/server/services/Config');
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const { LB_QueueAsyncCall } = require('~/server/utils/queue');
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const { getStrategyFunctions } = require('./strategies');
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const { getFileStrategy } = require('~/server/utils/getFileStrategy');
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const { determineFileType } = require('~/server/utils');
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const { logger } = require('~/config');
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@ -157,6 +157,7 @@ function enqueueDeleteOperation({ req, file, deleteFile, promises, resolvedFileI
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* @returns {Promise<void>}
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*/
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const processDeleteRequest = async ({ req, files }) => {
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const appConfig = req.config;
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const resolvedFileIds = [];
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const deletionMethods = {};
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const promises = [];
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@ -164,7 +165,7 @@ const processDeleteRequest = async ({ req, files }) => {
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/** @type {Record<string, OpenAI | undefined>} */
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const client = { [FileSources.openai]: undefined, [FileSources.azure]: undefined };
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const initializeClients = async () => {
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if (req.app.locals[EModelEndpoint.assistants]) {
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if (appConfig.endpoints?.[EModelEndpoint.assistants]) {
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const openAIClient = await getOpenAIClient({
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req,
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overrideEndpoint: EModelEndpoint.assistants,
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@ -172,7 +173,7 @@ const processDeleteRequest = async ({ req, files }) => {
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client[FileSources.openai] = openAIClient.openai;
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}
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if (!req.app.locals[EModelEndpoint.azureOpenAI]?.assistants) {
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if (!appConfig.endpoints?.[EModelEndpoint.azureOpenAI]?.assistants) {
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return;
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}
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@ -320,7 +321,8 @@ const processFileURL = async ({ fileStrategy, userId, URL, fileName, basePath, c
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*/
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const processImageFile = async ({ req, res, metadata, returnFile = false }) => {
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const { file } = req;
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const source = getFileStrategy(req.app.locals, { isImage: true });
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const appConfig = req.config;
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const source = getFileStrategy(appConfig, { isImage: true });
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const { handleImageUpload } = getStrategyFunctions(source);
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const { file_id, temp_file_id, endpoint } = metadata;
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@ -341,7 +343,7 @@ const processImageFile = async ({ req, res, metadata, returnFile = false }) => {
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filename: file.originalname,
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context: FileContext.message_attachment,
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source,
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type: `image/${req.app.locals.imageOutputType}`,
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type: `image/${appConfig.imageOutputType}`,
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width,
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height,
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},
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@ -366,18 +368,19 @@ const processImageFile = async ({ req, res, metadata, returnFile = false }) => {
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* @returns {Promise<{ filepath: string, filename: string, source: string, type: string}>}
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*/
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const uploadImageBuffer = async ({ req, context, metadata = {}, resize = true }) => {
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const source = getFileStrategy(req.app.locals, { isImage: true });
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const appConfig = req.config;
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const source = getFileStrategy(appConfig, { isImage: true });
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const { saveBuffer } = getStrategyFunctions(source);
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let { buffer, width, height, bytes, filename, file_id, type } = metadata;
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if (resize) {
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file_id = v4();
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type = `image/${req.app.locals.imageOutputType}`;
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type = `image/${appConfig.imageOutputType}`;
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({ buffer, width, height, bytes } = await resizeAndConvert({
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inputBuffer: buffer,
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desiredFormat: req.app.locals.imageOutputType,
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desiredFormat: appConfig.imageOutputType,
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}));
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filename = `${path.basename(req.file.originalname, path.extname(req.file.originalname))}.${
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req.app.locals.imageOutputType
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appConfig.imageOutputType
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}`;
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}
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const fileName = `${file_id}-${filename}`;
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@ -411,11 +414,12 @@ const uploadImageBuffer = async ({ req, context, metadata = {}, resize = true })
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* @returns {Promise<void>}
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*/
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const processFileUpload = async ({ req, res, metadata }) => {
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const appConfig = req.config;
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const isAssistantUpload = isAssistantsEndpoint(metadata.endpoint);
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const assistantSource =
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metadata.endpoint === EModelEndpoint.azureAssistants ? FileSources.azure : FileSources.openai;
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// Use the configured file strategy for regular file uploads (not vectordb)
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const source = isAssistantUpload ? assistantSource : req.app.locals.fileStrategy;
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const source = isAssistantUpload ? assistantSource : appConfig.fileStrategy;
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const { handleFileUpload } = getStrategyFunctions(source);
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const { file_id, temp_file_id = null } = metadata;
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@ -501,6 +505,7 @@ const processFileUpload = async ({ req, res, metadata }) => {
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*/
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const processAgentFileUpload = async ({ req, res, metadata }) => {
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const { file } = req;
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const appConfig = req.config;
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const { agent_id, tool_resource, file_id, temp_file_id = null } = metadata;
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if (agent_id && !tool_resource) {
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throw new Error('No tool resource provided for agent file upload');
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@ -553,7 +558,7 @@ const processAgentFileUpload = async ({ req, res, metadata }) => {
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}
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const { handleFileUpload: uploadOCR } = getStrategyFunctions(
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req.app.locals?.ocr?.strategy ?? FileSources.mistral_ocr,
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appConfig?.ocr?.strategy ?? FileSources.mistral_ocr,
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);
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const { file_id, temp_file_id = null } = metadata;
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@ -564,7 +569,7 @@ const processAgentFileUpload = async ({ req, res, metadata }) => {
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images: _i,
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filename,
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filepath: ocrFileURL,
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} = await uploadOCR({ req, file, loadAuthValues });
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} = await uploadOCR({ req, appConfig, file, loadAuthValues });
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const fileInfo = removeNullishValues({
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text,
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@ -597,7 +602,7 @@ const processAgentFileUpload = async ({ req, res, metadata }) => {
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// Dual storage pattern for RAG files: Storage + Vector DB
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let storageResult, embeddingResult;
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const isImageFile = file.mimetype.startsWith('image');
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const source = getFileStrategy(req.app.locals, { isImage: isImageFile });
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const source = getFileStrategy(appConfig, { isImage: isImageFile });
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if (tool_resource === EToolResources.file_search) {
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// FIRST: Upload to Storage for permanent backup (S3/local/etc.)
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@ -752,6 +757,7 @@ const processOpenAIFile = async ({
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const processOpenAIImageOutput = async ({ req, buffer, file_id, filename, fileExt }) => {
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const currentDate = new Date();
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const formattedDate = currentDate.toISOString();
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const appConfig = req.config;
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const _file = await convertImage(req, buffer, undefined, `${file_id}${fileExt}`);
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// Create only one file record with the correct information
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@ -762,7 +768,7 @@ const processOpenAIImageOutput = async ({ req, buffer, file_id, filename, fileEx
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type: mime.getType(fileExt),
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createdAt: formattedDate,
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updatedAt: formattedDate,
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source: getFileStrategy(req.app.locals, { isImage: true }),
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source: getFileStrategy(appConfig, { isImage: true }),
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context: FileContext.assistants_output,
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file_id,
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filename,
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@ -889,7 +895,7 @@ async function saveBase64Image(
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url,
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{ req, file_id: _file_id, filename: _filename, endpoint, context, resolution },
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) {
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const effectiveResolution = resolution ?? req.app.locals.fileConfig?.imageGeneration ?? 'high';
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const effectiveResolution = resolution ?? appConfig.fileConfig?.imageGeneration ?? 'high';
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const file_id = _file_id ?? v4();
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let filename = `${file_id}-${_filename}`;
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const { buffer: inputBuffer, type } = base64ToBuffer(url);
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@ -903,7 +909,8 @@ async function saveBase64Image(
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}
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const image = await resizeImageBuffer(inputBuffer, effectiveResolution, endpoint);
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const source = getFileStrategy(req.app.locals, { isImage: true });
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const appConfig = req.config;
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const source = getFileStrategy(appConfig, { isImage: true });
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const { saveBuffer } = getStrategyFunctions(source);
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const filepath = await saveBuffer({
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userId: req.user.id,
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@ -964,7 +971,8 @@ function filterFile({ req, image, isAvatar }) {
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throw new Error('No endpoint provided');
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}
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const fileConfig = mergeFileConfig(req.app.locals.fileConfig);
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const appConfig = req.config;
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const fileConfig = mergeFileConfig(appConfig.fileConfig);
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const { fileSizeLimit: sizeLimit, supportedMimeTypes } =
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fileConfig.endpoints[endpoint] ?? fileConfig.endpoints.default;
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