82 lines
3.9 KiB
Python
82 lines
3.9 KiB
Python
"""ChatRoom models - unified participant architecture"""
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from datetime import datetime
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from typing import Optional, List, TYPE_CHECKING
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from sqlalchemy import String, Integer, Boolean, Text, DateTime, ForeignKey
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from luxx.core.database import Base
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if TYPE_CHECKING:
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from luxx.models.user import User
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def local_now():
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return datetime.now()
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class ChatRoom(Base):
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"""Chat Room - group chat for multiple participants"""
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__tablename__ = "chat_rooms"
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id: Mapped[str] = mapped_column(String(64), primary_key=True)
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name: Mapped[str] = mapped_column(String(100), nullable=False)
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description: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
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owner_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id"), nullable=False)
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is_active: Mapped[bool] = mapped_column(Boolean, default=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=local_now)
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updated_at: Mapped[datetime] = mapped_column(DateTime, default=local_now, onupdate=local_now)
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owner: Mapped["User"] = relationship("User", backref="chat_rooms")
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def to_dict(self):
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return {
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"id": self.id, "name": self.name, "description": self.description,
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"owner_id": self.owner_id, "is_active": self.is_active,
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"created_at": self.created_at.isoformat() if self.created_at else None,
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"updated_at": self.updated_at.isoformat() if self.updated_at else None
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}
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class Agent(Base):
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"""Agent model - defines an AI agent"""
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__tablename__ = "agents"
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id: Mapped[str] = mapped_column(String(64), primary_key=True)
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name: Mapped[str] = mapped_column(String(50), nullable=False)
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role: Mapped[str] = mapped_column(String(50), nullable=False, default="helper")
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avatar: Mapped[Optional[str]] = mapped_column(String(500), nullable=True)
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system_prompt: Mapped[str] = mapped_column(Text, nullable=False, default="You are helpful.")
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provider_id: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("llm_providers.id"), nullable=True)
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model: Mapped[Optional[str]] = mapped_column(String(100), nullable=True)
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tools: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
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is_active: Mapped[bool] = mapped_column(Boolean, default=True)
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priority: Mapped[int] = mapped_column(Integer, default=5)
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auto_response: Mapped[bool] = mapped_column(Boolean, default=True)
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mention_trigger: Mapped[bool] = mapped_column(Boolean, default=False)
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temperature: Mapped[float] = mapped_column(Text, default="0.7")
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max_tokens: Mapped[int] = mapped_column(Integer, default=2048)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=local_now)
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updated_at: Mapped[datetime] = mapped_column(DateTime, default=local_now, onupdate=local_now)
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provider: Mapped[Optional["LLMProvider"]] = relationship("LLMProvider")
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def to_dict(self, include_secrets: bool = False):
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import json
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result = {
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"id": self.id, "name": self.name, "role": self.role, "avatar": self.avatar,
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"system_prompt": self.system_prompt, "provider_id": self.provider_id, "model": self.model,
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"is_active": self.is_active, "priority": self.priority,
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"auto_response": self.auto_response, "mention_trigger": self.mention_trigger,
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"temperature": float(self.temperature) if self.temperature else 0.7,
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"max_tokens": self.max_tokens,
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"created_at": self.created_at.isoformat() if self.created_at else None,
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"updated_at": self.updated_at.isoformat() if self.updated_at else None
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}
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try:
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result["tools"] = json.loads(self.tools) if self.tools else []
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except json.JSONDecodeError:
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result["tools"] = []
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if include_secrets and self.provider:
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result["provider"] = self.provider.to_dict(include_key=True)
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return result
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