# -*- coding: utf-8 -*-
"""
数据表模型
"""
from datetime import datetime

from pydantic_ai._uuid import uuid7
from sqlmodel import Field, JSON, SQLModel


# 会话数据表
class Conversations(SQLModel, table=True):
    id: str = Field(
        default_factory=lambda: str(uuid7()),
        primary_key=True,
        description="会话唯一标识",
    )
    user_id: str = Field(..., index=True, description="用户唯一标识")
    description: str = Field(..., description="会话描述")
    is_deleted: bool = Field(default=False, description="是否删除")
    created_at: datetime = Field(default_factory=datetime.now, description="创建时间")


# 思考节点数据表（仅用于定义）
class ThoughtNodes(SQLModel):

    kind: str = Field(description="思考节点类型")
    content: str = Field(default="", description="思考节点内容")


# 对话数据表
class Dialogs(SQLModel, table=True):
    id: str = Field(
        default_factory=lambda: str(uuid7()),
        primary_key=True,
        description="对话唯一标识",
    )
    conversation_id: str = Field(..., index=True, description="会话唯一标识")
    question: str = Field(..., description="问题")
    thought_nodes: dict[int, ThoughtNodes] = Field(
        default_factory=dict, sa_type=JSON, description="思考节点字典"
    )
    answer: str = Field(default="", description="回答")


# 运行结果数据表
class RunResults(SQLModel, table=True):
    conversation_id: str = Field(primary_key=True, description="会话唯一标识")
    dialog_id: str = Field(primary_key=True, description="对话唯一标识")
    new_messages: str = Field(description="新增消息")