- FastAPI backend with JWT auth, roles (admin/moderator/user) - PDF upload (up to 500MB) with streaming, PyMuPDF text extraction - ChromaDB vectorization per page with metadata - LiteLLM AI question extraction from PDF (not generation) - Image extraction from PDF pages, graceful fallback - Quiz modes: timed (countdown timer) + learning (answers shown inline) - Page-by-page question navigation with dot navigator - TTS endpoint using LiteLLM (Google Vertex / OpenAI voices) - Admin dashboard: AI model management per task, user role management - Moderator role: upload PDFs, create sections, generate quizzes - Spaced repetition reminders via SMTP email (SM-2 intervals) - APScheduler daily reminder jobs - Celery + Redis for background PDF processing - React frontend with all pages - Docker Compose deployment (nginx + backend + celery + redis) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
12 lines
290 B
Python
12 lines
290 B
Python
from celery import Celery
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from app.config import settings
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celery_app = Celery(
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"quiz_tasks",
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broker=settings.REDIS_URL,
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backend=settings.REDIS_URL,
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)
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celery_app.conf.task_serializer = "json"
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celery_app.conf.result_serializer = "json"
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celery_app.conf.accept_content = ["json"]
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