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# 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,
}
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