- 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>
20 lines
528 B
Python
20 lines
528 B
Python
from app.models.user import User
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from app.models.pdf_document import PDFDocument
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from app.models.section import Section
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from app.models.quiz import Quiz
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from app.models.question import Question
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from app.models.attempt import QuizAttempt, AttemptAnswer
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from app.models.reminder import ReminderSchedule
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from app.models.ai_model_config import AIModelConfig
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__all__ = [
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"User",
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"PDFDocument",
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"Section",
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"Quiz",
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"Question",
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"QuizAttempt",
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"AttemptAnswer",
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"ReminderSchedule",
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"AIModelConfig",
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]
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