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* Basic implementation of ChatGPT conversation import * remove debug code * Handle citations * Fix updatedAt in import * update default model * Use job scheduler to handle import requests * import job status endpoint * Add wrapper around Agenda * Rate limits for import endpoint * rename import api path * Batch save import to mongo * Improve naming * Add documenting comments * Test for importers * Change button for importing conversations * Frontend changes * Import job status endpoint * Import endpoint response * Add translations to new phrases * Fix conversations refreshing * cleanup unused functions * set timeout for import job status polling * Add documentation * get extra spaces back * Improve error message * Fix translation files after merge * fix translation files 2 * Add zh translation for import functionality * Sync mailisearch index after import * chore: add dummy uri for jest tests, as MONGO_URI should only be real for E2E tests * docs: fix links * docs: fix conversationsImport section * fix: user role issue for librechat imports * refactor: import conversations from json - organize imports - add additional jsdocs - use multer with diskStorage to avoid loading file into memory outside of job - use filepath instead of loading data string for imports - replace console logs and some logger.info() with logger.debug - only use multer for import route * fix: undefined metadata edge case and replace ChatGtp -> ChatGpt * Refactor importChatGptConvo function to handle undefined metadata edge case and replace ChatGtp with ChatGpt * fix: chatgpt importer * feat: maintain tree relationship for librechat messages * chore: use enum * refactor: saveMessage to use single object arg, replace console logs, add userId to log message * chore: additional comment * chore: multer edge case * feat: first pass, maintain tree relationship * chore: organize * chore: remove log * ci: add heirarchy test for chatgpt * ci: test maintaining of heirarchy for librechat * wip: allow non-text content type messages * refactor: import content part object json string * refactor: more content types to format * chore: consolidate messageText formatting * docs: update on changes, bump data-provider/config versions, update readme * refactor(indexSync): singleton pattern for MeiliSearchClient * refactor: debug log after batch is done * chore: add back indexSync error handling --------- Co-authored-by: jakubmieszczak <jakub.mieszczak@zendesk.com> Co-authored-by: Danny Avila <danny@librechat.ai>
41 lines
1.4 KiB
JavaScript
41 lines
1.4 KiB
JavaScript
const fs = require('fs').promises;
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const jobScheduler = require('~/server/utils/jobScheduler');
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const { getImporter } = require('./importers');
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const { indexSync } = require('~/lib/db');
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const { logger } = require('~/config');
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const IMPORT_CONVERSATION_JOB_NAME = 'import conversation';
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/**
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* Job definition for importing a conversation.
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* @param {import('agenda').Job} job - The job object.
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* @param {Function} done - The done function.
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*/
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const importConversationJob = async (job, done) => {
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const { filepath, requestUserId } = job.attrs.data;
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try {
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logger.debug(`user: ${requestUserId} | Importing conversation(s) from file...`);
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const fileData = await fs.readFile(filepath, 'utf8');
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const jsonData = JSON.parse(fileData);
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const importer = getImporter(jsonData);
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await importer(jsonData, requestUserId);
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// Sync Meilisearch index
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await indexSync();
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logger.debug(`user: ${requestUserId} | Finished importing conversations`);
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done();
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} catch (error) {
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logger.error(`user: ${requestUserId} | Failed to import conversation: `, error);
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done(error);
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} finally {
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try {
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await fs.unlink(filepath);
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} catch (error) {
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logger.error(`user: ${requestUserId} | Failed to delete file: ${filepath}`, error);
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}
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}
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};
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// Call the jobScheduler.define function at startup
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jobScheduler.define(IMPORT_CONVERSATION_JOB_NAME, importConversationJob);
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module.exports = { IMPORT_CONVERSATION_JOB_NAME };
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