- Add .odt (application/vnd.oasis.opendocument.text) as a supported upload format; extract text via JSZip + content.xml parsing - Add attach_document_to_lesson agent tool so the AI can attach an uploaded document to a lesson as a downloadable material - Instruct the agent to create a "Course Materials" lesson (first lesson of the first section) and attach the uploaded document to it on implementation - Suppress hallucinated references: uploaded documents do not count as fetched URLs — omit the References section when no fetch_documentation_url calls were made - Surface specific upload error snackbars (file_too_large, unsupported_file_type) instead of silently logging; fix generic fallback message - Allow typing in the chat textarea while a document is uploading; only block Enter/send, not the whole input - Fix retry endpoint to return the current run instead of erroring when the run is already active (queued/running/waiting_for_input/paused) - Connect @cio/core Redis singleton in the jobs bootstrap so course-generation workers no longer fail with "The client is closed" - Expose documentAssets (assetId + fileName) alongside documentText in AgentContext and pass it through both the chat route and course runner
29 lines
774 B
TypeScript
29 lines
774 B
TypeScript
import 'dotenv/config';
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import { env } from './config/env';
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import { warnIfFfmpegMissing } from './utils/ffmpeg';
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import { log } from './utils/logger';
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import { connectRedis } from '@cio/core/utils/redis/redis';
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void warnIfFfmpegMissing();
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if (!env.REDIS_URL) {
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throw new Error('REDIS_URL is required to start a worker process.');
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}
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void connectRedis();
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log.info('worker-bootstrap', {
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nodeEnv: env.NODE_ENV,
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pid: process.pid,
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hasOpenAi: Boolean(env.OPENAI_API_KEY)
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});
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process.on('uncaughtException', (error) => {
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log.error('uncaught-exception', { message: error.message, stack: error.stack });
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});
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process.on('unhandledRejection', (reason) => {
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log.error('unhandled-rejection', { reason: reason instanceof Error ? reason.message : String(reason) });
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});
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