135 lines
5.3 KiB
Python
135 lines
5.3 KiB
Python
"""Chat-related models"""
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import json
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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, Float, 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 LLMProvider, User
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def local_now():
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return datetime.now()
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class Conversation(Base):
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"""Conversation model"""
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__tablename__ = "conversations"
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id: Mapped[str] = mapped_column(String(64), primary_key=True)
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user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id"), nullable=False)
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provider_id: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("llm_providers.id"), nullable=True)
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project_id: Mapped[Optional[str]] = mapped_column(String(64), nullable=True)
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title: Mapped[str] = mapped_column(String(255), nullable=False)
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model: Mapped[str] = mapped_column(String(64), nullable=False, default="deepseek-chat")
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system_prompt: Mapped[str] = mapped_column(Text, nullable=False, default="You are helpful.")
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temperature: Mapped[float] = mapped_column(Float, default=0.7)
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max_tokens: Mapped[int] = mapped_column(Integer, default=2000)
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thinking_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
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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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user: Mapped["User"] = relationship("User", back_populates="conversations")
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provider: Mapped[Optional["LLMProvider"]] = relationship("LLMProvider")
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messages: Mapped[List["Message"]] = relationship(
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"Message", back_populates="conversation", cascade="all, delete-orphan"
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)
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def to_dict(self):
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return {
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"id": self.id,
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"user_id": self.user_id,
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"provider_id": self.provider_id,
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"project_id": self.project_id,
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"title": self.title,
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"model": self.model,
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"system_prompt": self.system_prompt,
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"temperature": self.temperature,
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"max_tokens": self.max_tokens,
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"thinking_enabled": self.thinking_enabled,
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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 Message(Base):
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"""Unified Message model for Conversation and ChatRoom.
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role: user/assistant/system/tool
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content: JSON format with text, attachments, tool_calls, steps
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"""
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__tablename__ = "messages"
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id: Mapped[str] = mapped_column(String(64), primary_key=True)
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conversation_id: Mapped[Optional[str]] = mapped_column(String(64), ForeignKey("conversations.id"), nullable=True)
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room_id: Mapped[Optional[str]] = mapped_column(String(64), nullable=True)
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role: Mapped[str] = mapped_column(String(16), nullable=False)
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content: Mapped[str] = mapped_column(Text, nullable=False, default="")
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sender_name: Mapped[str] = mapped_column(String(50), nullable=False, default="")
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mentions: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
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token_count: Mapped[int] = mapped_column(Integer, default=0)
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usage: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
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conversation: Mapped[Optional["Conversation"]] = relationship("Conversation", back_populates="messages")
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created_at: Mapped[datetime] = mapped_column(DateTime, default=local_now)
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@property
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def target_type(self) -> str:
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return "conversation" if self.conversation_id else "room"
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@property
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def target_id(self) -> str:
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return self.conversation_id or self.room_id or ""
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def to_dict(self):
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result = {
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"id": self.id,
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"conversation_id": self.conversation_id,
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"room_id": self.room_id,
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"target_type": self.target_type,
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"target_id": self.target_id,
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"role": self.role,
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"sender_name": self.sender_name,
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"token_count": self.token_count,
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"created_at": self.created_at.isoformat() if self.created_at else None
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}
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# Parse usage JSON
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if self.usage:
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try:
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result["usage"] = json.loads(self.usage)
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except json.JSONDecodeError:
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result["usage"] = None
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# Parse mentions JSON
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if self.mentions:
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try:
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result["mentions"] = json.loads(self.mentions)
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except json.JSONDecodeError:
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result["mentions"] = []
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else:
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result["mentions"] = []
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# Parse content JSON
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try:
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content_obj = json.loads(self.content) if self.content else {}
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except json.JSONDecodeError:
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result["text"] = self.content
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result["attachments"] = []
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result["tool_calls"] = []
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result["process_steps"] = []
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return result
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result["text"] = content_obj.get("text", "")
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result["attachments"] = content_obj.get("attachments", [])
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result["tool_calls"] = content_obj.get("tool_calls", [])
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result["process_steps"] = content_obj.get("steps", [])
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if "content" not in content_obj:
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result["content"] = result["text"]
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return result
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