from typing import Any, Dict, Generic, Optional, TypeVar from dbgpt._private.pydantic import BaseModel, ConfigDict, Field, model_to_dict T = TypeVar("T") class Result(BaseModel, Generic[T]): success: bool err_code: Optional[str] = None err_msg: Optional[str] = None data: Optional[T] = None @classmethod def succ(cls, data: T): return Result(success=True, err_code=None, err_msg=None, data=data) @classmethod def failed(cls, code: str = "E000X", msg=None): return Result(success=False, err_code=code, err_msg=msg, data=None) def to_dict(self) -> Dict[str, Any]: return model_to_dict(self) class ChatSceneVo(BaseModel): chat_scene: str = Field(..., description="chat_scene") scene_name: str = Field(..., description="chat_scene name show for user") scene_describe: str = Field("", description="chat_scene describe ") param_title: str = Field("", description="chat_scene required parameter title") show_disable: bool = Field(False, description="chat_scene show disable") class ConversationVo(BaseModel): model_config = ConfigDict(protected_namespaces=()) """ dialogue_uid """ conv_uid: str = "" """ user input """ user_input: str = "" """ user """ user_name: Optional[str] = Field(None, description="user name") """ the scene of chat """ chat_mode: str = "" """ chat scene select param """ select_param: Optional[str] = Field(None, description="chat scene select param") """ llm model name """ model_name: Optional[str] = Field(None, description="llm model name") """Used to control whether the content is returned incrementally or in full each time. If this parameter is not provided, the default is full return. """ incremental: bool = False sys_code: Optional[str] = Field(None, description="System code") class MessageVo(BaseModel): model_config = ConfigDict(protected_namespaces=()) """ role that sends out the current message """ role: str """ current message """ context: str """ message postion order """ order: int """ time the current message was sent """ time_stamp: Optional[Any] = Field( None, description="time the current message was sent" ) """ model_name """ model_name: str