# -*- coding: utf-8 -*- # mypy: disable-error-code="annotation-unchecked" from dataclasses import dataclass, field import uuid def get_random_uuid() -> str: """生成并返回32位UUID字符串""" return uuid.uuid4().hex @dataclass class DashHeader: action: str task_id: str = field(default=get_random_uuid()) streaming: str = field(default="duplex") # 默认为 duplex def to_dict(self): return { "action": self.action, "task_id": self.task_id, "request_id": self.task_id, "streaming": self.streaming, } class DashPayloadParameters: def to_dict(self): pass class DashPayloadInput: def to_dict(self): pass @dataclass class DashPayload: task_group: str = field(default="aigc") function: str = field(default="generation") model: str = field(default="") task: str = field(default="multimodal-generation") parameters: DashPayloadParameters = field(default=None) input: DashPayloadInput = field(default=None) def to_dict(self): payload = { "task_group": self.task_group, "function": self.function, "model": self.model, "task": self.task, } if self.parameters is not None: # pylint: disable=assignment-from-no-return payload["parameters"] = self.parameters.to_dict() if self.input is not None: # pylint: disable=assignment-from-no-return payload["input"] = self.input.to_dict() return payload @dataclass class RequestBodyInput(DashPayloadInput): workspace_id: str app_id: str directive: str dialog_id: str def to_dict(self): return { "workspace_id": self.workspace_id, "app_id": self.app_id, "directive": self.directive, "dialog_id": self.dialog_id, } @dataclass class AsrPostProcessing: replace_words: list = field(default=None) # type: ignore[arg-type] def to_dict(self): if self.replace_words is None: return None if len(self.replace_words) == 0: return None return { "replace_words": [word.to_dict() for word in self.replace_words], } @dataclass class ReplaceWord: source: str = field(default=None) target: str = field(default=None) match_mode: str = field(default=None) def to_dict(self): return { "source": self.source, "target": self.target, "match_mode": self.match_mode, } @dataclass class Upstream: """struct for upstream""" audio_format: str = field(default="pcm") # 上行语音格式,默认pcm.支持pcm/opus type: str = field( default="AudioOnly", ) # 上行类型:AudioOnly 仅语音通话; AudioAndVideo 上传视频 mode: str = field(default="tap2talk") # 客户端交互模式 push2talk/tap2talk/duplex sample_rate: int = field(default=16000) # 音频采样率 vocabulary_id: str = field(default=None) asr_post_processing: AsrPostProcessing = field(default=None) pass_through_params: dict = field(default=None) # type: ignore[arg-type] def to_dict(self): upstream: dict = { "type": self.type, "mode": self.mode, "audio_format": self.audio_format, "sample_rate": self.sample_rate, "vocabulary_id": self.vocabulary_id, } if self.asr_post_processing is not None: upstream[ "asr_post_processing" ] = self.asr_post_processing.to_dict() if self.pass_through_params is not None: upstream.update(self.pass_through_params) return upstream @dataclass class Downstream: # transcript 返回用户语音识别结果 # dialog 返回对话系统回答中间结果 # 可以设置多种,以逗号分割,默认为transcript voice: str = field(default="") # 语音音色 sample_rate: int = field(default=0) # 语音音色 # 合成音频采样率 intermediate_text: str = field(default="transcript") # 控制返回给用户那些中间文本: debug: bool = field(default=False) # 控制是否返回debug信息 # type_: str = field(default="Audio", metadata={"alias": "type"}) # 下行类型:Text:不需要下发语音;Audio:输出语音,默认值 # noqa: E501 # pylint: disable=line-too-long audio_format: str = field(default="pcm") # 下行语音格式,默认pcm 。支持pcm/mp3 volume: int = field(default=50) # 语音音量 0-100 pitch_rate: int = field(default=100) # 语音语调 50-200 speech_rate: int = field(default=100) # 语音语速 50-200 pass_through_params: dict = field(default=None) # type: ignore[arg-type] def to_dict(self): stream: dict = { "intermediate_text": self.intermediate_text, "debug": self.debug, # "type": self.type_, "audio_format": self.audio_format, "volume": self.volume, "pitch_rate": self.pitch_rate, "speech_rate": self.speech_rate, } if self.voice != "": stream["voice"] = self.voice if self.sample_rate != 0: stream["sample_rate"] = self.sample_rate if self.pass_through_params is not None: stream.update(self.pass_through_params) return stream @dataclass class DialogAttributes: agent_id: str = field(default=None) prompt: str = field(default=None) vocabulary_id: str = field(default=None) def to_dict(self): return { "agent_id": self.agent_id, "prompt": self.prompt, "vocabulary_id": self.vocabulary_id, } @dataclass class Locations: city_name: str = field(default=None) latitude: str = field(default=None) longitude: str = field(default=None) def to_dict(self): return { "city_name": self.city_name, "latitude": self.latitude, "longitude": self.longitude, } @dataclass class Network: ip: str = field(default=None) def to_dict(self): return { "ip": self.ip, } @dataclass class Device: uuid: str = field(default=None) def to_dict(self): return { "uuid": self.uuid, } @dataclass class ClientInfo: user_id: str device: Device = field(default=None) network: Network = field(default=None) location: Locations = field(default=None) def to_dict(self): info = { "user_id": self.user_id, "sdk": "python", } if self.device is not None: info["device"] = self.device.to_dict() if self.network is not None: info["network"] = self.network.to_dict() if self.location is not None: info["location"] = self.location.to_dict() return info @dataclass class BizParams: user_defined_params: dict = field(default=None) # type: ignore[arg-type] user_defined_tokens: dict = field(default=None) # type: ignore[arg-type] tool_prompts: dict = field(default=None) # type: ignore[arg-type] user_prompt_params: dict = field(default=None) # type: ignore[arg-type] user_query_params: dict = field(default=None) # type: ignore[arg-type] videos: list = field(default=None) # type: ignore[arg-type] pass_through_params: dict = field(default=None) # type: ignore[arg-type] def to_dict(self): params = {} if self.user_defined_params is not None: params["user_defined_params"] = self.user_defined_params if self.user_defined_tokens is not None: params["user_defined_tokens"] = self.user_defined_tokens if self.tool_prompts is not None: params["tool_prompts"] = self.tool_prompts if self.user_prompt_params is not None: params["user_prompt_params"] = self.user_prompt_params if self.user_query_params is not None: params["user_query_params"] = self.user_query_params if self.videos is not None: params["videos"] = self.videos if self.pass_through_params is not None: params.update(self.pass_through_params) return params @dataclass class RequestParameters(DashPayloadParameters): upstream: Upstream downstream: Downstream client_info: ClientInfo dialog_attributes: DialogAttributes = field(default=None) biz_params: BizParams = field(default=None) def to_dict(self): params = { "upstream": self.upstream.to_dict(), "downstream": self.downstream.to_dict(), "client_info": self.client_info.to_dict(), } if self.dialog_attributes is not None: params["dialog_attributes"] = self.dialog_attributes.to_dict() if self.biz_params is not None: params["biz_params"] = self.biz_params.to_dict() return params @dataclass class RequestToRespondParameters(DashPayloadParameters): images: list = field(default=None) # type: ignore[arg-type] biz_params: BizParams = field(default=None) def to_dict(self): params = {} if self.images is not None: params["images"] = self.images if self.biz_params is not None: params["biz_params"] = self.biz_params.to_dict() return params @dataclass class RequestToRespondBodyInput(DashPayloadInput): app_id: str directive: str dialog_id: str type_: str = field(metadata={"alias": "type"}, default=None) text: str = field(default="") def to_dict(self): return { "app_id": self.app_id, "directive": self.directive, "dialog_id": self.dialog_id, "type": self.type_, "text": self.text, }