b876f13fac
- 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>
17 lines
622 B
Python
17 lines
622 B
Python
from sqlalchemy import Column, Integer, String, ForeignKey
|
|
from sqlalchemy.orm import relationship
|
|
|
|
from app.database import Base
|
|
|
|
|
|
class Section(Base):
|
|
__tablename__ = "sections"
|
|
|
|
id = Column(Integer, primary_key=True, index=True)
|
|
document_id = Column(Integer, ForeignKey("pdf_documents.id"), nullable=False)
|
|
name = Column(String, nullable=False)
|
|
start_page = Column(Integer, nullable=False)
|
|
end_page = Column(Integer, nullable=False)
|
|
|
|
document = relationship("PDFDocument", back_populates="sections")
|
|
quizzes = relationship("Quiz", back_populates="section", cascade="all, delete-orphan")
|