# -*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class CreateVRSTaskRequest(AbstractModel): """CreateVRSTask请求参数结构体 """ def __init__(self): r""" :param SessionId: 唯一请求 ID :type SessionId: str :param VoiceName: 音色名称 :type VoiceName: str :param SampleRate: 音频采样率： 16000：16k（默认） :type SampleRate: int :param VoiceGender: 音色性别: 1-male 2-female :type VoiceGender: int :param VoiceLanguage: 语言类型： 1-中文（默认） :type VoiceLanguage: int :param Codec: 音频格式，音频类型(wav,mp3,aac,m4a) :type Codec: str :param AudioIdList: 音频ID集合 :type AudioIdList: list of str :param CallbackUrl: 回调 URL，用户自行搭建的用于接收结果的服务URL。如果用户使用轮询方式获取识别结果，则无需提交该参数。 回调采用POST请求方式，Content-Type为application/x-www-form-urlencoded，回调数据格式如下:callback_body=checksum=&data={"TaskId":"xxxxxxxxxxxxxx","Status":2,"StatusStr":"success","VoiceType":xxxxx,"ErrorMsg":""} :type CallbackUrl: str """ self.SessionId = None self.VoiceName = None self.SampleRate = None self.VoiceGender = None self.VoiceLanguage = None self.Codec = None self.AudioIdList = None self.CallbackUrl = None def _deserialize(self, params): self.SessionId = params.get("SessionId") self.VoiceName = params.get("VoiceName") self.SampleRate = params.get("SampleRate") self.VoiceGender = params.get("VoiceGender") self.VoiceLanguage = params.get("VoiceLanguage") self.Codec = params.get("Codec") self.AudioIdList = params.get("AudioIdList") self.CallbackUrl = params.get("CallbackUrl") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class CreateVRSTaskRespData(AbstractModel): """声音复刻任务创建响应 """ def __init__(self): r""" :param TaskId: 任务ID 注意：此字段可能返回 null，表示取不到有效值。 :type TaskId: str """ self.TaskId = None def _deserialize(self, params): self.TaskId = params.get("TaskId") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class CreateVRSTaskResponse(AbstractModel): """CreateVRSTask返回参数结构体 """ def __init__(self): r""" :param Data: 创建任务结果 :type Data: :class:`tencentcloud.vrs.v20200824.models.CreateVRSTaskRespData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self.Data = None self.RequestId = None def _deserialize(self, params): if params.get("Data") is not None: self.Data = CreateVRSTaskRespData() self.Data._deserialize(params.get("Data")) self.RequestId = params.get("RequestId") class DescribeVRSTaskStatusRequest(AbstractModel): """DescribeVRSTaskStatus请求参数结构体 """ def __init__(self): r""" :param TaskId: 任务ID :type TaskId: str """ self.TaskId = None def _deserialize(self, params): self.TaskId = params.get("TaskId") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class DescribeVRSTaskStatusRespData(AbstractModel): """任务结果 """ def __init__(self): r""" :param TaskId: 任务ID 注意：此字段可能返回 null，表示取不到有效值。 :type TaskId: str :param Status: 任务状态码，0：任务等待，1：任务执行中，2：任务成功，3：任务失败。 注意：此字段可能返回 null，表示取不到有效值。 :type Status: int :param StatusStr: 任务状态，waiting：任务等待，doing：任务执行中，success：任务成功，failed：任务失败。 注意：此字段可能返回 null，表示取不到有效值。 :type StatusStr: str :param VoiceType: 音色id 注意：此字段可能返回 null，表示取不到有效值。 :type VoiceType: int :param ErrorMsg: 失败原因说明。 注意：此字段可能返回 null，表示取不到有效值。 :type ErrorMsg: str """ self.TaskId = None self.Status = None self.StatusStr = None self.VoiceType = None self.ErrorMsg = None def _deserialize(self, params): self.TaskId = params.get("TaskId") self.Status = params.get("Status") self.StatusStr = params.get("StatusStr") self.VoiceType = params.get("VoiceType") self.ErrorMsg = params.get("ErrorMsg") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class DescribeVRSTaskStatusResponse(AbstractModel): """DescribeVRSTaskStatus返回参数结构体 """ def __init__(self): r""" :param Data: 声音复刻任务结果 :type Data: :class:`tencentcloud.vrs.v20200824.models.DescribeVRSTaskStatusRespData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self.Data = None self.RequestId = None def _deserialize(self, params): if params.get("Data") is not None: self.Data = DescribeVRSTaskStatusRespData() self.Data._deserialize(params.get("Data")) self.RequestId = params.get("RequestId") class DetectEnvAndSoundQualityRequest(AbstractModel): """DetectEnvAndSoundQuality请求参数结构体 """ def __init__(self): r""" :param TextId: 标注文本信息 ID :type TextId: str :param AudioData: 语音数据 要使用base64编码(采用python语言时注意读取文件应该为string而不是byte，以byte格式读取后要decode()。编码后的数据不可带有回车换行符)。 :type AudioData: str :param Codec: 音频格式，音频类型(wav,mp3,aac,m4a) :type Codec: str :param TypeId: 1:环境检测 2:音质检测 :type TypeId: int :param SampleRate: 音频采样率： 16000：16k（默认） :type SampleRate: int """ self.TextId = None self.AudioData = None self.Codec = None self.TypeId = None self.SampleRate = None def _deserialize(self, params): self.TextId = params.get("TextId") self.AudioData = params.get("AudioData") self.Codec = params.get("Codec") self.TypeId = params.get("TypeId") self.SampleRate = params.get("SampleRate") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class DetectEnvAndSoundQualityResponse(AbstractModel): """DetectEnvAndSoundQuality返回参数结构体 """ def __init__(self): r""" :param Data: 检测结果 :type Data: :class:`tencentcloud.vrs.v20200824.models.DetectionEnvAndSoundQualityRespData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self.Data = None self.RequestId = None def _deserialize(self, params): if params.get("Data") is not None: self.Data = DetectionEnvAndSoundQualityRespData() self.Data._deserialize(params.get("Data")) self.RequestId = params.get("RequestId") class DetectionEnvAndSoundQualityRespData(AbstractModel): """环境检测和音频检测响应 """ def __init__(self): r""" :param AudioId: 音频ID （用于创建任务接口AudioIds）,环境检测该值为空，仅在音质检测情况下返回 注意：此字段可能返回 null，表示取不到有效值。 :type AudioId: str :param DetectionCode: 检测code 0 表示当前语音通过 -1 表示检测失败，需要重试 -2 表示语音检测不通过，提示用户再重新录制一下（通常漏读，错读，或多读） -3 表示语音中噪声较大，不通过 注意：此字段可能返回 null，表示取不到有效值。 :type DetectionCode: int :param DetectionMsg: 检测提示信息 注意：此字段可能返回 null，表示取不到有效值。 :type DetectionMsg: str :param DetectionTip: 检测提示信息 注意：此字段可能返回 null，表示取不到有效值。 :type DetectionTip: list of Words """ self.AudioId = None self.DetectionCode = None self.DetectionMsg = None self.DetectionTip = None def _deserialize(self, params): self.AudioId = params.get("AudioId") self.DetectionCode = params.get("DetectionCode") self.DetectionMsg = params.get("DetectionMsg") if params.get("DetectionTip") is not None: self.DetectionTip = [] for item in params.get("DetectionTip"): obj = Words() obj._deserialize(item) self.DetectionTip.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class GetTrainingTextRequest(AbstractModel): """GetTrainingText请求参数结构体 """ class GetTrainingTextResponse(AbstractModel): """GetTrainingText返回参数结构体 """ def __init__(self): r""" :param Data: 文本列表 :type Data: :class:`tencentcloud.vrs.v20200824.models.TrainingTexts` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self.Data = None self.RequestId = None def _deserialize(self, params): if params.get("Data") is not None: self.Data = TrainingTexts() self.Data._deserialize(params.get("Data")) self.RequestId = params.get("RequestId") class TrainingText(AbstractModel): """训练文本 """ def __init__(self): r""" :param TextId: 文本ID 注意：此字段可能返回 null，表示取不到有效值。 :type TextId: str :param Text: 文本 注意：此字段可能返回 null，表示取不到有效值。 :type Text: str """ self.TextId = None self.Text = None def _deserialize(self, params): self.TextId = params.get("TextId") self.Text = params.get("Text") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class TrainingTexts(AbstractModel): """训练文本列表 """ def __init__(self): r""" :param TrainingTextList: 训练文本列表 注意：此字段可能返回 null，表示取不到有效值。 :type TrainingTextList: list of TrainingText """ self.TrainingTextList = None def _deserialize(self, params): if params.get("TrainingTextList") is not None: self.TrainingTextList = [] for item in params.get("TrainingTextList"): obj = TrainingText() obj._deserialize(item) self.TrainingTextList.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class Words(AbstractModel): """音频检测提示信息： 1.检测字是否存在多读、 少读、 错读等 2.检测准确度和流畅度 """ def __init__(self): r""" :param PronAccuracy: 准确度 (<75则认为不合格) 注意：此字段可能返回 null，表示取不到有效值。 :type PronAccuracy: float :param PronFluency: 流畅度 (<0.95则认为不合格) 注意：此字段可能返回 null，表示取不到有效值。 :type PronFluency: float :param Tag: tag: 0: match 匹配 1: insert 多读 2: delete 少读 3: replace 错读 4: oov 待评估字不在发音评估的词库 5: unknown 未知错误 注意：此字段可能返回 null，表示取不到有效值。 :type Tag: int :param Word: 字 注意：此字段可能返回 null，表示取不到有效值。 :type Word: str """ self.PronAccuracy = None self.PronFluency = None self.Tag = None self.Word = None def _deserialize(self, params): self.PronAccuracy = params.get("PronAccuracy") self.PronFluency = params.get("PronFluency") self.Tag = params.get("Tag") self.Word = params.get("Word") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set))