75 lines
3.1 KiB
Python
75 lines
3.1 KiB
Python
from sqlalchemy.dialects.postgresql import JSONB
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from ..extensions import db
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from .user import User, Tenant
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from .document import Embedding, Retriever
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class ChatSession(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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user_id = db.Column(db.Integer, db.ForeignKey(User.id), nullable=True)
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session_id = db.Column(db.String(36), nullable=True)
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session_start = db.Column(db.DateTime, nullable=False)
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session_end = db.Column(db.DateTime, nullable=True)
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timezone = db.Column(db.String(30), nullable=True)
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# Relations
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interactions = db.relationship('Interaction', backref='chat_session', lazy=True)
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def __repr__(self):
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return f"<ChatSession {self.id} by {self.user_id}>"
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class Interaction(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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chat_session_id = db.Column(db.Integer, db.ForeignKey(ChatSession.id), nullable=False)
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question = db.Column(db.Text, nullable=False)
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detailed_question = db.Column(db.Text, nullable=True)
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answer = db.Column(db.Text, nullable=True)
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algorithm_used = db.Column(db.String(20), nullable=True)
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language = db.Column(db.String(2), nullable=False)
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timezone = db.Column(db.String(30), nullable=True)
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appreciation = db.Column(db.Integer, nullable=True)
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# Timing information
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question_at = db.Column(db.DateTime, nullable=False)
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detailed_question_at = db.Column(db.DateTime, nullable=True)
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answer_at = db.Column(db.DateTime, nullable=True)
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# Relations
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embeddings = db.relationship('InteractionEmbedding', backref='interaction', lazy=True)
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def __repr__(self):
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return f"<Interaction {self.id}>"
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class InteractionEmbedding(db.Model):
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interaction_id = db.Column(db.Integer, db.ForeignKey(Interaction.id, ondelete='CASCADE'), primary_key=True)
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embedding_id = db.Column(db.Integer, db.ForeignKey(Embedding.id, ondelete='CASCADE'), primary_key=True)
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class Specialist(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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name = db.Column(db.String(50), nullable=False)
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description = db.Column(db.Text, nullable=True)
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type = db.Column(db.String(50), nullable=False, default="STANDARD_RAG")
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tuning = db.Column(db.Boolean, nullable=True, default=False)
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configuration = db.Column(JSONB, nullable=True)
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arguments = db.Column(JSONB, nullable=True)
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# Relationship to retrievers through the association table
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retrievers = db.relationship('SpecialistRetriever', backref='specialist', lazy=True,
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cascade="all, delete-orphan")
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# Versioning Information
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created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.now())
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created_by = db.Column(db.Integer, db.ForeignKey(User.id), nullable=True)
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updated_at = db.Column(db.DateTime, nullable=False, server_default=db.func.now(), onupdate=db.func.now())
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updated_by = db.Column(db.Integer, db.ForeignKey(User.id))
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class SpecialistRetriever(db.Model):
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specialist_id = db.Column(db.Integer, db.ForeignKey(Specialist.id, ondelete='CASCADE'), primary_key=True)
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retriever_id = db.Column(db.Integer, db.ForeignKey(Retriever.id, ondelete='CASCADE'), primary_key=True)
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