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from enum import Enum
import numpy as np
from pydantic import BaseModel, Field
class VoiceTask(BaseModel):
"""语音任务模型"""
id: str
session_id: str = Field(default="")
language: str = Field(default="zh")
is_speaking_over_threshold: bool = Field(default=False)
is_over_audio_frames_threshold: bool = Field(default=False)
user_voice: np.array = Field(default=np.array([]))
send_time: float = Field(default=0)
whisper_start_time: float = Field(default=0)
whisper_end_time: float = Field(default=0)
llm_start_time: float = Field(default=0)
llm_end_time: float = Field(default=0)
tts_start_time: float = Field(default=0)
tts_end_time: float = Field(default=0)
transcribed_text: str = Field(default="")
answer_id: str = Field(default="")
answer_index: int = Field(default=0)
answer_sentence: str = Field(default="")
tts_generated_sentence_audio: tuple = Field(default=())
class Config:
arbitrary_types_allowed = True
class DisplayMessageType(str, Enum):
QUESTION = 'question'
ANSWER = 'answer'
class BaseDisplayMessage(BaseModel):
message_type: DisplayMessageType
session_id: str
task_id: str
class QuestionDisplayMessage(BaseDisplayMessage):
message_type: DisplayMessageType = DisplayMessageType.QUESTION
question: str
class AnswerDisplayMessage(BaseDisplayMessage):
message_type: DisplayMessageType = DisplayMessageType.ANSWER
answer_index: int
answer: str
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