975a31fb01
- teach.py: use _proxy_model() + pass api_key/api_base from settings (fixes LiteLLM provider error for openrouter/bedrock models) - teach.py: accept model_id in ChatRequest so frontend can select model - main.py: remove titan-embed-v2 from general seed, auto-delete legacy entry on startup - main.py: kill stale idle-in-transaction DB connections at startup to prevent DDL lock hangs - main.py: set lock_timeout=10s on DDL connection as fast-fail safety net - TeachChat.jsx: fetch /teach/models, show selector dropdown in header when >1 model available Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
29 lines
1.5 KiB
Python
29 lines
1.5 KiB
Python
from pgvector.sqlalchemy import Vector
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from sqlalchemy import Column, Integer, String, Text, JSON, ForeignKey
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from sqlalchemy.orm import relationship, deferred
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from app.config import settings
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from app.database import Base
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from app.models.question_category import QuestionCategory # noqa — ensures mapper resolves
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from app.models.quiz_question_link import QuizQuestionLink # noqa
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class Question(Base):
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__tablename__ = "questions"
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id = Column(Integer, primary_key=True, index=True)
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# source_quiz_id: which quiz this question was originally extracted for (informational).
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# Content membership is tracked via quiz_question_links junction table.
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source_quiz_id = Column("quiz_id", Integer, ForeignKey("quizzes.id", ondelete="SET NULL"), nullable=True)
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question_category_id = Column(Integer, ForeignKey("question_categories.id", ondelete="SET NULL"), nullable=True)
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question_text = Column(Text, nullable=False)
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question_type = Column(String, nullable=False) # mcq, true_false, fill_blank
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options = Column(JSON, nullable=True) # list of strings for mcq
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correct_answer = Column(String, nullable=False)
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explanation = Column(Text, nullable=True)
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page_reference = Column(Integer, nullable=True)
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image_path = Column(String, nullable=True)
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embedding = deferred(Column(Vector(1024), nullable=True)) # semantic search vector — deferred: not loaded in standard queries
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question_category = relationship("QuestionCategory", back_populates="questions",
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foreign_keys=[question_category_id])
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