47ba213ae3
Features: - Hybrid semantic + keyword quiz search (pgvector HNSW + PostgreSQL ILIKE) - AWS Bedrock Titan Embed V2 embeddings via LiteLLM proxy (0.71 cosine sim) - Multi-provider TTS: OpenAI, AWS Polly (neural), ElevenLabs, Google Cloud TTS - Unified Settings page (profile, theme, Nextcloud integration, admin shortcuts) - Good morning/afternoon greeting on dashboard - manage.py CLI: reset-password, list-users, reembed - Email verification enforced: register no longer returns JWT for unverified users - Quiz search with debounced input, semantic/keyword/title modes, highlighted snippets - TTS button: loading/playing states, voice selector locked during playback - TTS auto-stops when navigating between questions - Footer added; mobile quiz nav overflow fixed; markdown theme body selector fixed - OpenAI Alloy as default TTS voice; favicon added - SMTP configured via smtp2go; password reset rate limiting (3/hour) - PostgreSQL upgraded to pgvector/pgvector:pg16 Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
23 lines
953 B
Python
23 lines
953 B
Python
from pgvector.sqlalchemy import Vector
|
|
from sqlalchemy import Column, Integer, String, Text, JSON, ForeignKey
|
|
from sqlalchemy.orm import relationship
|
|
|
|
from app.config import settings
|
|
from app.database import Base
|
|
|
|
|
|
class Question(Base):
|
|
__tablename__ = "questions"
|
|
|
|
id = Column(Integer, primary_key=True, index=True)
|
|
quiz_id = Column(Integer, ForeignKey("quizzes.id", ondelete="CASCADE"), nullable=False)
|
|
question_text = Column(Text, nullable=False)
|
|
question_type = Column(String, nullable=False) # mcq, true_false, fill_blank
|
|
options = Column(JSON, nullable=True) # list of strings for mcq
|
|
correct_answer = Column(String, nullable=False)
|
|
explanation = Column(Text, nullable=True)
|
|
page_reference = Column(Integer, nullable=True)
|
|
image_path = Column(String, nullable=True)
|
|
embedding = Column(Vector(1024), nullable=True) # semantic search vector
|
|
|
|
quiz = relationship("Quiz", back_populates="questions")
|