# -*- 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 AnalyzeSentimentRequest(AbstractModel): """AnalyzeSentiment请求参数结构体 """ def __init__(self): r""" :param _Text: 待分析的文本(仅支持UTF-8格式,不超过200字)。 :type Text: str """ self._Text = None @property def Text(self): """待分析的文本(仅支持UTF-8格式,不超过200字)。 :rtype: str """ return self._Text @Text.setter def Text(self, Text): self._Text = Text def _deserialize(self, params): self._Text = params.get("Text") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class AnalyzeSentimentResponse(AbstractModel): """AnalyzeSentiment返回参数结构体 """ def __init__(self): r""" :param _Positive: 正面情感概率。 :type Positive: float :param _Neutral: 中性情感概率。 :type Neutral: float :param _Negative: 负面情感概率。 :type Negative: float :param _Sentiment: 情感分类结果: positive:正面情感 negative:负面情感 neutral:中性、无情感 :type Sentiment: str :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._Positive = None self._Neutral = None self._Negative = None self._Sentiment = None self._RequestId = None @property def Positive(self): """正面情感概率。 :rtype: float """ return self._Positive @Positive.setter def Positive(self, Positive): self._Positive = Positive @property def Neutral(self): """中性情感概率。 :rtype: float """ return self._Neutral @Neutral.setter def Neutral(self, Neutral): self._Neutral = Neutral @property def Negative(self): """负面情感概率。 :rtype: float """ return self._Negative @Negative.setter def Negative(self, Negative): self._Negative = Negative @property def Sentiment(self): """情感分类结果: positive:正面情感 negative:负面情感 neutral:中性、无情感 :rtype: str """ return self._Sentiment @Sentiment.setter def Sentiment(self, Sentiment): self._Sentiment = Sentiment @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): self._Positive = params.get("Positive") self._Neutral = params.get("Neutral") self._Negative = params.get("Negative") self._Sentiment = params.get("Sentiment") self._RequestId = params.get("RequestId") class BasicParticiple(AbstractModel): """基础粒度分词和词性标注的结果 """ def __init__(self): r""" :param _Word: 基础词。 :type Word: str :param _BeginOffset: 基础词在NormalText中的起始位置。 :type BeginOffset: int :param _Length: 基础词的长度。 :type Length: int :param _Pos: 词性。 :type Pos: str """ self._Word = None self._BeginOffset = None self._Length = None self._Pos = None @property def Word(self): """基础词。 :rtype: str """ return self._Word @Word.setter def Word(self, Word): self._Word = Word @property def BeginOffset(self): """基础词在NormalText中的起始位置。 :rtype: int """ return self._BeginOffset @BeginOffset.setter def BeginOffset(self, BeginOffset): self._BeginOffset = BeginOffset @property def Length(self): """基础词的长度。 :rtype: int """ return self._Length @Length.setter def Length(self, Length): self._Length = Length @property def Pos(self): """词性。 :rtype: str """ return self._Pos @Pos.setter def Pos(self, Pos): self._Pos = Pos def _deserialize(self, params): self._Word = params.get("Word") self._BeginOffset = params.get("BeginOffset") self._Length = params.get("Length") self._Pos = params.get("Pos") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class Category(AbstractModel): """分类详细信息 """ def __init__(self): r""" :param _Id: 分类id。 注意:此字段可能返回 null,表示取不到有效值。 :type Id: int :param _Label: 分类英文名。 注意:此字段可能返回 null,表示取不到有效值。 :type Label: str :param _Name: 分类中文名。 注意:此字段可能返回 null,表示取不到有效值。 :type Name: str :param _Score: 分类置信度。 注意:此字段可能返回 null,表示取不到有效值。 :type Score: float """ self._Id = None self._Label = None self._Name = None self._Score = None @property def Id(self): """分类id。 注意:此字段可能返回 null,表示取不到有效值。 :rtype: int """ return self._Id @Id.setter def Id(self, Id): self._Id = Id @property def Label(self): """分类英文名。 注意:此字段可能返回 null,表示取不到有效值。 :rtype: str """ return self._Label @Label.setter def Label(self, Label): self._Label = Label @property def Name(self): """分类中文名。 注意:此字段可能返回 null,表示取不到有效值。 :rtype: str """ return self._Name @Name.setter def Name(self, Name): self._Name = Name @property def Score(self): """分类置信度。 注意:此字段可能返回 null,表示取不到有效值。 :rtype: float """ return self._Score @Score.setter def Score(self, Score): self._Score = Score def _deserialize(self, params): self._Id = params.get("Id") self._Label = params.get("Label") self._Name = params.get("Name") self._Score = params.get("Score") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class ClassifyContentRequest(AbstractModel): """ClassifyContent请求参数结构体 """ def __init__(self): r""" :param _Title: 待分类的文章的标题(仅支持UTF-8格式,不超过100字符)。 :type Title: str :param _Content: 待分类文章的内容, 每个元素对应一个段落。(仅支持UTF-8格式,文章内容长度总和不超过2000字符) :type Content: list of str """ self._Title = None self._Content = None @property def Title(self): """待分类的文章的标题(仅支持UTF-8格式,不超过100字符)。 :rtype: str """ return self._Title @Title.setter def Title(self, Title): self._Title = Title @property def Content(self): """待分类文章的内容, 每个元素对应一个段落。(仅支持UTF-8格式,文章内容长度总和不超过2000字符) :rtype: list of str """ return self._Content @Content.setter def Content(self, Content): self._Content = Content def _deserialize(self, params): self._Title = params.get("Title") self._Content = params.get("Content") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class ClassifyContentResponse(AbstractModel): """ClassifyContent返回参数结构体 """ def __init__(self): r""" :param _FirstClassification: 一级分类。(请参见附录[三级分类体系表](https://cloud.tencent.com/document/product/271/94286)) :type FirstClassification: :class:`tencentcloud.nlp.v20190408.models.Category` :param _SecondClassification: 二级分类。(请参见附录[三级分类体系表](https://cloud.tencent.com/document/product/271/94286)) :type SecondClassification: :class:`tencentcloud.nlp.v20190408.models.Category` :param _ThirdClassification: 三级分类。(请参见附录[三级分类体系表](https://cloud.tencent.com/document/product/271/94286)) 注意:此字段可能返回 null,表示取不到有效值。 :type ThirdClassification: :class:`tencentcloud.nlp.v20190408.models.Category` :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._FirstClassification = None self._SecondClassification = None self._ThirdClassification = None self._RequestId = None @property def FirstClassification(self): """一级分类。(请参见附录[三级分类体系表](https://cloud.tencent.com/document/product/271/94286)) :rtype: :class:`tencentcloud.nlp.v20190408.models.Category` """ return self._FirstClassification @FirstClassification.setter def FirstClassification(self, FirstClassification): self._FirstClassification = FirstClassification @property def SecondClassification(self): """二级分类。(请参见附录[三级分类体系表](https://cloud.tencent.com/document/product/271/94286)) :rtype: :class:`tencentcloud.nlp.v20190408.models.Category` """ return self._SecondClassification @SecondClassification.setter def SecondClassification(self, SecondClassification): self._SecondClassification = SecondClassification @property def ThirdClassification(self): """三级分类。(请参见附录[三级分类体系表](https://cloud.tencent.com/document/product/271/94286)) 注意:此字段可能返回 null,表示取不到有效值。 :rtype: :class:`tencentcloud.nlp.v20190408.models.Category` """ return self._ThirdClassification @ThirdClassification.setter def ThirdClassification(self, ThirdClassification): self._ThirdClassification = ThirdClassification @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): if params.get("FirstClassification") is not None: self._FirstClassification = Category() self._FirstClassification._deserialize(params.get("FirstClassification")) if params.get("SecondClassification") is not None: self._SecondClassification = Category() self._SecondClassification._deserialize(params.get("SecondClassification")) if params.get("ThirdClassification") is not None: self._ThirdClassification = Category() self._ThirdClassification._deserialize(params.get("ThirdClassification")) self._RequestId = params.get("RequestId") class ComposeCoupletRequest(AbstractModel): """ComposeCouplet请求参数结构体 """ def __init__(self): r""" :param _Text: 生成对联的关键词。长度需>=2,当长度>2时,自动截取前两个字作为关键字。内容需为常用汉字(不含有数字、英文、韩语、日语、符号等等其他)。 :type Text: str :param _TargetType: 返回的文本结果为繁体还是简体。0:简体;1:繁体。默认为0。 :type TargetType: int """ self._Text = None self._TargetType = None @property def Text(self): """生成对联的关键词。长度需>=2,当长度>2时,自动截取前两个字作为关键字。内容需为常用汉字(不含有数字、英文、韩语、日语、符号等等其他)。 :rtype: str """ return self._Text @Text.setter def Text(self, Text): self._Text = Text @property def TargetType(self): """返回的文本结果为繁体还是简体。0:简体;1:繁体。默认为0。 :rtype: int """ return self._TargetType @TargetType.setter def TargetType(self, TargetType): self._TargetType = TargetType def _deserialize(self, params): self._Text = params.get("Text") self._TargetType = params.get("TargetType") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class ComposeCoupletResponse(AbstractModel): """ComposeCouplet返回参数结构体 """ def __init__(self): r""" :param _TopScroll: 横批。 :type TopScroll: str :param _Content: 上联与下联。 :type Content: list of str :param _RandomCause: 当对联随机生成时,展示随机生成原因。 :type RandomCause: str :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._TopScroll = None self._Content = None self._RandomCause = None self._RequestId = None @property def TopScroll(self): """横批。 :rtype: str """ return self._TopScroll @TopScroll.setter def TopScroll(self, TopScroll): self._TopScroll = TopScroll @property def Content(self): """上联与下联。 :rtype: list of str """ return self._Content @Content.setter def Content(self, Content): self._Content = Content @property def RandomCause(self): """当对联随机生成时,展示随机生成原因。 :rtype: str """ return self._RandomCause @RandomCause.setter def RandomCause(self, RandomCause): self._RandomCause = RandomCause @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): self._TopScroll = params.get("TopScroll") self._Content = params.get("Content") self._RandomCause = params.get("RandomCause") self._RequestId = params.get("RequestId") class ComposePoetryRequest(AbstractModel): """ComposePoetry请求参数结构体 """ def __init__(self): r""" :param _Text: 生成诗词的关键词。 :type Text: str :param _PoetryType: 生成诗词的类型。0:藏头或藏身;1:藏头;2:藏身。默认为0。 :type PoetryType: int :param _Genre: 诗的体裁。0:五言律诗或七言律诗;5:五言律诗;7:七言律诗。默认为0。 :type Genre: int """ self._Text = None self._PoetryType = None self._Genre = None @property def Text(self): """生成诗词的关键词。 :rtype: str """ return self._Text @Text.setter def Text(self, Text): self._Text = Text @property def PoetryType(self): """生成诗词的类型。0:藏头或藏身;1:藏头;2:藏身。默认为0。 :rtype: int """ return self._PoetryType @PoetryType.setter def PoetryType(self, PoetryType): self._PoetryType = PoetryType @property def Genre(self): """诗的体裁。0:五言律诗或七言律诗;5:五言律诗;7:七言律诗。默认为0。 :rtype: int """ return self._Genre @Genre.setter def Genre(self, Genre): self._Genre = Genre def _deserialize(self, params): self._Text = params.get("Text") self._PoetryType = params.get("PoetryType") self._Genre = params.get("Genre") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class ComposePoetryResponse(AbstractModel): """ComposePoetry返回参数结构体 """ def __init__(self): r""" :param _Title: 诗题,即输入的生成诗词的关键词。 :type Title: str :param _Content: 诗的内容。 :type Content: list of str :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._Title = None self._Content = None self._RequestId = None @property def Title(self): """诗题,即输入的生成诗词的关键词。 :rtype: str """ return self._Title @Title.setter def Title(self, Title): self._Title = Title @property def Content(self): """诗的内容。 :rtype: list of str """ return self._Content @Content.setter def Content(self, Content): self._Content = Content @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): self._Title = params.get("Title") self._Content = params.get("Content") self._RequestId = params.get("RequestId") class CompoundParticiple(AbstractModel): """复合粒度分词和词性标注的结果。 """ def __init__(self): r""" :param _Word: 基础词。 :type Word: str :param _BeginOffset: 基础词在NormalText中的起始位置。 :type BeginOffset: int :param _Length: 基础词的长度。 :type Length: int :param _Pos: 词性。 :type Pos: str """ self._Word = None self._BeginOffset = None self._Length = None self._Pos = None @property def Word(self): """基础词。 :rtype: str """ return self._Word @Word.setter def Word(self, Word): self._Word = Word @property def BeginOffset(self): """基础词在NormalText中的起始位置。 :rtype: int """ return self._BeginOffset @BeginOffset.setter def BeginOffset(self, BeginOffset): self._BeginOffset = BeginOffset @property def Length(self): """基础词的长度。 :rtype: int """ return self._Length @Length.setter def Length(self, Length): self._Length = Length @property def Pos(self): """词性。 :rtype: str """ return self._Pos @Pos.setter def Pos(self, Pos): self._Pos = Pos def _deserialize(self, params): self._Word = params.get("Word") self._BeginOffset = params.get("BeginOffset") self._Length = params.get("Length") self._Pos = params.get("Pos") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class CorrectionItem(AbstractModel): """纠错结果列表 """ def __init__(self): r""" :param _Order: 纠错句子的序号。 :type Order: int :param _BeginOffset: 错误的起始位置,从0开始。 :type BeginOffset: int :param _Len: 错误内容长度。 :type Len: int :param _Word: 错误内容。 :type Word: str :param _CorrectWord: 纠错结果,当为删除类错误时,结果为null。 注意:此字段可能返回 null,表示取不到有效值。 :type CorrectWord: list of str :param _CorrectionType: 纠错类型。0:替换;1:插入;2:删除。 :type CorrectionType: int :param _Confidence: 纠错信息置信度。0:error;1:warning;error的置信度更高。(仅供参考) :type Confidence: int :param _DescriptionZh: 纠错信息中文描述。 注意:此字段可能返回 null,表示取不到有效值。 :type DescriptionZh: str :param _DescriptionEn: 纠错信息英文描述。 注意:此字段可能返回 null,表示取不到有效值。 :type DescriptionEn: str """ self._Order = None self._BeginOffset = None self._Len = None self._Word = None self._CorrectWord = None self._CorrectionType = None self._Confidence = None self._DescriptionZh = None self._DescriptionEn = None @property def Order(self): """纠错句子的序号。 :rtype: int """ return self._Order @Order.setter def Order(self, Order): self._Order = Order @property def BeginOffset(self): """错误的起始位置,从0开始。 :rtype: int """ return self._BeginOffset @BeginOffset.setter def BeginOffset(self, BeginOffset): self._BeginOffset = BeginOffset @property def Len(self): """错误内容长度。 :rtype: int """ return self._Len @Len.setter def Len(self, Len): self._Len = Len @property def Word(self): """错误内容。 :rtype: str """ return self._Word @Word.setter def Word(self, Word): self._Word = Word @property def CorrectWord(self): """纠错结果,当为删除类错误时,结果为null。 注意:此字段可能返回 null,表示取不到有效值。 :rtype: list of str """ return self._CorrectWord @CorrectWord.setter def CorrectWord(self, CorrectWord): self._CorrectWord = CorrectWord @property def CorrectionType(self): """纠错类型。0:替换;1:插入;2:删除。 :rtype: int """ return self._CorrectionType @CorrectionType.setter def CorrectionType(self, CorrectionType): self._CorrectionType = CorrectionType @property def Confidence(self): """纠错信息置信度。0:error;1:warning;error的置信度更高。(仅供参考) :rtype: int """ return self._Confidence @Confidence.setter def Confidence(self, Confidence): self._Confidence = Confidence @property def DescriptionZh(self): """纠错信息中文描述。 注意:此字段可能返回 null,表示取不到有效值。 :rtype: str """ return self._DescriptionZh @DescriptionZh.setter def DescriptionZh(self, DescriptionZh): self._DescriptionZh = DescriptionZh @property def DescriptionEn(self): """纠错信息英文描述。 注意:此字段可能返回 null,表示取不到有效值。 :rtype: str """ return self._DescriptionEn @DescriptionEn.setter def DescriptionEn(self, DescriptionEn): self._DescriptionEn = DescriptionEn def _deserialize(self, params): self._Order = params.get("Order") self._BeginOffset = params.get("BeginOffset") self._Len = params.get("Len") self._Word = params.get("Word") self._CorrectWord = params.get("CorrectWord") self._CorrectionType = params.get("CorrectionType") self._Confidence = params.get("Confidence") self._DescriptionZh = params.get("DescriptionZh") self._DescriptionEn = params.get("DescriptionEn") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class Embellish(AbstractModel): """文本润色结果 """ def __init__(self): r""" :param _Text: 润色后的文本。 注意:此字段可能返回 null,表示取不到有效值。 :type Text: str :param _EmbellishType: 润色类型。类型如下: expansion:扩写 rewriting:改写 translation_m2a:从现代文改写为古文 translation_a2m:从古文改写为现代文 注意:此字段可能返回 null,表示取不到有效值。 :type EmbellishType: str """ self._Text = None self._EmbellishType = None @property def Text(self): """润色后的文本。 注意:此字段可能返回 null,表示取不到有效值。 :rtype: str """ return self._Text @Text.setter def Text(self, Text): self._Text = Text @property def EmbellishType(self): """润色类型。类型如下: expansion:扩写 rewriting:改写 translation_m2a:从现代文改写为古文 translation_a2m:从古文改写为现代文 注意:此字段可能返回 null,表示取不到有效值。 :rtype: str """ return self._EmbellishType @EmbellishType.setter def EmbellishType(self, EmbellishType): self._EmbellishType = EmbellishType def _deserialize(self, params): self._Text = params.get("Text") self._EmbellishType = params.get("EmbellishType") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class Entity(AbstractModel): """实体识别结果。 """ def __init__(self): r""" :param _Word: 基础词。 :type Word: str :param _BeginOffset: 基础词在NormalText中的起始位置。 :type BeginOffset: int :param _Length: 基础词的长度。 :type Length: int :param _Type: 实体类型的标准名字。 :type Type: str :param _Name: 类型名字的自然语言表达。(中文或英文) :type Name: str """ self._Word = None self._BeginOffset = None self._Length = None self._Type = None self._Name = None @property def Word(self): """基础词。 :rtype: str """ return self._Word @Word.setter def Word(self, Word): self._Word = Word @property def BeginOffset(self): """基础词在NormalText中的起始位置。 :rtype: int """ return self._BeginOffset @BeginOffset.setter def BeginOffset(self, BeginOffset): self._BeginOffset = BeginOffset @property def Length(self): """基础词的长度。 :rtype: int """ return self._Length @Length.setter def Length(self, Length): self._Length = Length @property def Type(self): """实体类型的标准名字。 :rtype: str """ return self._Type @Type.setter def Type(self, Type): self._Type = Type @property def Name(self): """类型名字的自然语言表达。(中文或英文) :rtype: str """ return self._Name @Name.setter def Name(self, Name): self._Name = Name def _deserialize(self, params): self._Word = params.get("Word") self._BeginOffset = params.get("BeginOffset") self._Length = params.get("Length") self._Type = params.get("Type") self._Name = params.get("Name") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class EvaluateSentenceSimilarityRequest(AbstractModel): """EvaluateSentenceSimilarity请求参数结构体 """ def __init__(self): r""" :param _SentencePairList: 待分析的句子对数组。句子对应不超过1对,仅支持中文文本,原句子与目标句子均应不超过500字符。 :type SentencePairList: list of SentencePair """ self._SentencePairList = None @property def SentencePairList(self): """待分析的句子对数组。句子对应不超过1对,仅支持中文文本,原句子与目标句子均应不超过500字符。 :rtype: list of SentencePair """ return self._SentencePairList @SentencePairList.setter def SentencePairList(self, SentencePairList): self._SentencePairList = SentencePairList def _deserialize(self, params): if params.get("SentencePairList") is not None: self._SentencePairList = [] for item in params.get("SentencePairList"): obj = SentencePair() obj._deserialize(item) self._SentencePairList.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class EvaluateSentenceSimilarityResponse(AbstractModel): """EvaluateSentenceSimilarity返回参数结构体 """ def __init__(self): r""" :param _ScoreList: 每个句子对的相似度分值。 :type ScoreList: list of float :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._ScoreList = None self._RequestId = None @property def ScoreList(self): """每个句子对的相似度分值。 :rtype: list of float """ return self._ScoreList @ScoreList.setter def ScoreList(self, ScoreList): self._ScoreList = ScoreList @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): self._ScoreList = params.get("ScoreList") self._RequestId = params.get("RequestId") class EvaluateWordSimilarityRequest(AbstractModel): """EvaluateWordSimilarity请求参数结构体 """ def __init__(self): r""" :param _SourceWord: 计算相似度的源词。(仅支持UTF-8格式,不超过10字符) :type SourceWord: str :param _TargetWord: 计算相似度的目标词。(仅支持UTF-8格式,不超过10字符) :type TargetWord: str """ self._SourceWord = None self._TargetWord = None @property def SourceWord(self): """计算相似度的源词。(仅支持UTF-8格式,不超过10字符) :rtype: str """ return self._SourceWord @SourceWord.setter def SourceWord(self, SourceWord): self._SourceWord = SourceWord @property def TargetWord(self): """计算相似度的目标词。(仅支持UTF-8格式,不超过10字符) :rtype: str """ return self._TargetWord @TargetWord.setter def TargetWord(self, TargetWord): self._TargetWord = TargetWord def _deserialize(self, params): self._SourceWord = params.get("SourceWord") self._TargetWord = params.get("TargetWord") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class EvaluateWordSimilarityResponse(AbstractModel): """EvaluateWordSimilarity返回参数结构体 """ def __init__(self): r""" :param _Similarity: 词相似度分值。 :type Similarity: float :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._Similarity = None self._RequestId = None @property def Similarity(self): """词相似度分值。 :rtype: float """ return self._Similarity @Similarity.setter def Similarity(self, Similarity): self._Similarity = Similarity @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): self._Similarity = params.get("Similarity") self._RequestId = params.get("RequestId") class GenerateKeywordSentenceRequest(AbstractModel): """GenerateKeywordSentence请求参数结构体 """ def __init__(self): r""" :param _WordList: 生成句子的关键词,关键词个数需不超过4个,中文关键词长度应不超过10字符,英文关键词长度不超过3个单词。关键词中不可包含标点符号。 :type WordList: list of str :param _Number: 返回生成句子的个数。数量需>=1且<=5。 (注意实际结果可能小于指定个数) :type Number: int :param _Domain: 指定生成句子的领域,支持领域如下: general:通用领域,支持中英文 academic:学术领域,仅支持英文 默认为general(通用领域)。 :type Domain: str """ self._WordList = None self._Number = None self._Domain = None @property def WordList(self): """生成句子的关键词,关键词个数需不超过4个,中文关键词长度应不超过10字符,英文关键词长度不超过3个单词。关键词中不可包含标点符号。 :rtype: list of str """ return self._WordList @WordList.setter def WordList(self, WordList): self._WordList = WordList @property def Number(self): """返回生成句子的个数。数量需>=1且<=5。 (注意实际结果可能小于指定个数) :rtype: int """ return self._Number @Number.setter def Number(self, Number): self._Number = Number @property def Domain(self): """指定生成句子的领域,支持领域如下: general:通用领域,支持中英文 academic:学术领域,仅支持英文 默认为general(通用领域)。 :rtype: str """ return self._Domain @Domain.setter def Domain(self, Domain): self._Domain = Domain def _deserialize(self, params): self._WordList = params.get("WordList") self._Number = params.get("Number") self._Domain = params.get("Domain") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class GenerateKeywordSentenceResponse(AbstractModel): """GenerateKeywordSentence返回参数结构体 """ def __init__(self): r""" :param _KeywordSentenceList: 生成的句子列表。 :type KeywordSentenceList: list of KeywordSentence :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._KeywordSentenceList = None self._RequestId = None @property def KeywordSentenceList(self): """生成的句子列表。 :rtype: list of KeywordSentence """ return self._KeywordSentenceList @KeywordSentenceList.setter def KeywordSentenceList(self, KeywordSentenceList): self._KeywordSentenceList = KeywordSentenceList @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): if params.get("KeywordSentenceList") is not None: self._KeywordSentenceList = [] for item in params.get("KeywordSentenceList"): obj = KeywordSentence() obj._deserialize(item) self._KeywordSentenceList.append(obj) self._RequestId = params.get("RequestId") class KeywordSentence(AbstractModel): """通过关键词生成的句子信息 """ def __init__(self): r""" :param _TargetText: 通过关键词生成的句子。 :type TargetText: str """ self._TargetText = None @property def TargetText(self): """通过关键词生成的句子。 :rtype: str """ return self._TargetText @TargetText.setter def TargetText(self, TargetText): self._TargetText = TargetText def _deserialize(self, params): self._TargetText = params.get("TargetText") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class ParseWordsRequest(AbstractModel): """ParseWords请求参数结构体 """ def __init__(self): r""" :param _Text: 待分析的文本(支持中英文文本,不超过500字符) :type Text: str """ self._Text = None @property def Text(self): """待分析的文本(支持中英文文本,不超过500字符) :rtype: str """ return self._Text @Text.setter def Text(self, Text): self._Text = Text def _deserialize(self, params): self._Text = params.get("Text") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class ParseWordsResponse(AbstractModel): """ParseWords返回参数结构体 """ def __init__(self): r""" :param _NormalText: 输入文本正则化的结果。(包括对英文文本中的开头和实体进行大写等) :type NormalText: str :param _BasicParticiples: 基础粒度分词和词性标注的结果。(请参见附录[词性表](https://cloud.tencent.com/document/product/271/36460)) :type BasicParticiples: list of BasicParticiple :param _CompoundParticiples: 复合粒度分词和词性标注的结果。(请参见附录[词性表](https://cloud.tencent.com/document/product/271/36460)) :type CompoundParticiples: list of CompoundParticiple :param _Entities: 实体识别结果。(请参见附录[实体类型数据](https://cloud.tencent.com/document/product/271/90592)) :type Entities: list of Entity :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._NormalText = None self._BasicParticiples = None self._CompoundParticiples = None self._Entities = None self._RequestId = None @property def NormalText(self): """输入文本正则化的结果。(包括对英文文本中的开头和实体进行大写等) :rtype: str """ return self._NormalText @NormalText.setter def NormalText(self, NormalText): self._NormalText = NormalText @property def BasicParticiples(self): """基础粒度分词和词性标注的结果。(请参见附录[词性表](https://cloud.tencent.com/document/product/271/36460)) :rtype: list of BasicParticiple """ return self._BasicParticiples @BasicParticiples.setter def BasicParticiples(self, BasicParticiples): self._BasicParticiples = BasicParticiples @property def CompoundParticiples(self): """复合粒度分词和词性标注的结果。(请参见附录[词性表](https://cloud.tencent.com/document/product/271/36460)) :rtype: list of CompoundParticiple """ return self._CompoundParticiples @CompoundParticiples.setter def CompoundParticiples(self, CompoundParticiples): self._CompoundParticiples = CompoundParticiples @property def Entities(self): """实体识别结果。(请参见附录[实体类型数据](https://cloud.tencent.com/document/product/271/90592)) :rtype: list of Entity """ return self._Entities @Entities.setter def Entities(self, Entities): self._Entities = Entities @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): self._NormalText = params.get("NormalText") if params.get("BasicParticiples") is not None: self._BasicParticiples = [] for item in params.get("BasicParticiples"): obj = BasicParticiple() obj._deserialize(item) self._BasicParticiples.append(obj) if params.get("CompoundParticiples") is not None: self._CompoundParticiples = [] for item in params.get("CompoundParticiples"): obj = CompoundParticiple() obj._deserialize(item) self._CompoundParticiples.append(obj) if params.get("Entities") is not None: self._Entities = [] for item in params.get("Entities"): obj = Entity() obj._deserialize(item) self._Entities.append(obj) self._RequestId = params.get("RequestId") class RetrieveSimilarWordsRequest(AbstractModel): """RetrieveSimilarWords请求参数结构体 """ def __init__(self): r""" :param _Text: 输入的词语。(仅支持UTF-8格式,不超过10字符) :type Text: str :param _Number: 召回的相似词个数,取值范围为1-20。 :type Number: int """ self._Text = None self._Number = None @property def Text(self): """输入的词语。(仅支持UTF-8格式,不超过10字符) :rtype: str """ return self._Text @Text.setter def Text(self, Text): self._Text = Text @property def Number(self): """召回的相似词个数,取值范围为1-20。 :rtype: int """ return self._Number @Number.setter def Number(self, Number): self._Number = Number def _deserialize(self, params): self._Text = params.get("Text") self._Number = params.get("Number") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class RetrieveSimilarWordsResponse(AbstractModel): """RetrieveSimilarWords返回参数结构体 """ def __init__(self): r""" :param _WordList: 召回的相似词数组。 :type WordList: list of str :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._WordList = None self._RequestId = None @property def WordList(self): """召回的相似词数组。 :rtype: list of str """ return self._WordList @WordList.setter def WordList(self, WordList): self._WordList = WordList @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): self._WordList = params.get("WordList") self._RequestId = params.get("RequestId") class SentenceCorrectionRequest(AbstractModel): """SentenceCorrection请求参数结构体 """ def __init__(self): r""" :param _TextList: 待纠错的句子列表。可以以数组方式在一次请求中填写多个待纠错的句子。文本统一使用utf-8格式编码,每个中文句子的长度不超过150字符,每个英文句子的长度不超过100个单词,且数组长度需小于30,即句子总数需少于30句。 :type TextList: list of str """ self._TextList = None @property def TextList(self): """待纠错的句子列表。可以以数组方式在一次请求中填写多个待纠错的句子。文本统一使用utf-8格式编码,每个中文句子的长度不超过150字符,每个英文句子的长度不超过100个单词,且数组长度需小于30,即句子总数需少于30句。 :rtype: list of str """ return self._TextList @TextList.setter def TextList(self, TextList): self._TextList = TextList def _deserialize(self, params): self._TextList = params.get("TextList") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class SentenceCorrectionResponse(AbstractModel): """SentenceCorrection返回参数结构体 """ def __init__(self): r""" :param _CorrectionList: 纠错结果列表。 (注意仅展示错误句子的纠错结果,若句子无错则不展示,若全部待纠错句子都被认为无错,则可能返回数组为空) :type CorrectionList: list of CorrectionItem :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._CorrectionList = None self._RequestId = None @property def CorrectionList(self): """纠错结果列表。 (注意仅展示错误句子的纠错结果,若句子无错则不展示,若全部待纠错句子都被认为无错,则可能返回数组为空) :rtype: list of CorrectionItem """ return self._CorrectionList @CorrectionList.setter def CorrectionList(self, CorrectionList): self._CorrectionList = CorrectionList @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): if params.get("CorrectionList") is not None: self._CorrectionList = [] for item in params.get("CorrectionList"): obj = CorrectionItem() obj._deserialize(item) self._CorrectionList.append(obj) self._RequestId = params.get("RequestId") class SentencePair(AbstractModel): """待分析的句子对 """ def __init__(self): r""" :param _SourceText: 需要与目标句子计算相似度的源句子。(仅支持UTF-8格式,不超过500字符) :type SourceText: str :param _TargetText: 目标句子。(仅支持UTF-8格式,不超过500字符) :type TargetText: str """ self._SourceText = None self._TargetText = None @property def SourceText(self): """需要与目标句子计算相似度的源句子。(仅支持UTF-8格式,不超过500字符) :rtype: str """ return self._SourceText @SourceText.setter def SourceText(self, SourceText): self._SourceText = SourceText @property def TargetText(self): """目标句子。(仅支持UTF-8格式,不超过500字符) :rtype: str """ return self._TargetText @TargetText.setter def TargetText(self, TargetText): self._TargetText = TargetText def _deserialize(self, params): self._SourceText = params.get("SourceText") self._TargetText = params.get("TargetText") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class TextEmbellishRequest(AbstractModel): """TextEmbellish请求参数结构体 """ def __init__(self): r""" :param _Text: 待润色的文本。中文文本长度需<=50字符;英文文本长度需<=30个单词。 :type Text: str :param _SourceLang: 待润色文本的语言类型,支持语言如下: zh:中文 en:英文 :type SourceLang: str :param _Number: 返回润色结果的个数。数量需>=1且<=5。 (注意实际结果可能小于指定个数) :type Number: int :param _Style: 控制润色类型,类型如下: both:同时返回改写和扩写 expansion:扩写 rewriting:改写 m2a:从现代文改写为古文 a2m:从古文改写为现代文 默认为both。 :type Style: str """ self._Text = None self._SourceLang = None self._Number = None self._Style = None @property def Text(self): """待润色的文本。中文文本长度需<=50字符;英文文本长度需<=30个单词。 :rtype: str """ return self._Text @Text.setter def Text(self, Text): self._Text = Text @property def SourceLang(self): """待润色文本的语言类型,支持语言如下: zh:中文 en:英文 :rtype: str """ return self._SourceLang @SourceLang.setter def SourceLang(self, SourceLang): self._SourceLang = SourceLang @property def Number(self): """返回润色结果的个数。数量需>=1且<=5。 (注意实际结果可能小于指定个数) :rtype: int """ return self._Number @Number.setter def Number(self, Number): self._Number = Number @property def Style(self): """控制润色类型,类型如下: both:同时返回改写和扩写 expansion:扩写 rewriting:改写 m2a:从现代文改写为古文 a2m:从古文改写为现代文 默认为both。 :rtype: str """ return self._Style @Style.setter def Style(self, Style): self._Style = Style def _deserialize(self, params): self._Text = params.get("Text") self._SourceLang = params.get("SourceLang") self._Number = params.get("Number") self._Style = params.get("Style") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class TextEmbellishResponse(AbstractModel): """TextEmbellish返回参数结构体 """ def __init__(self): r""" :param _EmbellishList: 润色结果列表。 :type EmbellishList: list of Embellish :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._EmbellishList = None self._RequestId = None @property def EmbellishList(self): """润色结果列表。 :rtype: list of Embellish """ return self._EmbellishList @EmbellishList.setter def EmbellishList(self, EmbellishList): self._EmbellishList = EmbellishList @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): if params.get("EmbellishList") is not None: self._EmbellishList = [] for item in params.get("EmbellishList"): obj = Embellish() obj._deserialize(item) self._EmbellishList.append(obj) self._RequestId = params.get("RequestId") class TextWritingRequest(AbstractModel): """TextWriting请求参数结构体 """ def __init__(self): r""" :param _Text: 待续写的句子,文本统一使用utf-8格式编码,长度不超过200字符。 :type Text: str :param _SourceLang: 待续写文本的语言类型,支持语言如下: zh:中文 en:英文 :type SourceLang: str :param _Number: 返回续写结果的个数。数量需>=1且<=5。 (注意实际结果可能小于指定个数) :type Number: int :param _Domain: 指定续写领域,支持领域如下: general:通用领域,支持中英文补全 academic:学术领域,仅支持英文补全 默认为general(通用领域)。 :type Domain: str :param _Style: 指定续写风格,支持风格如下: science_fiction:科幻 military_history:军事 xuanhuan_wuxia:武侠 urban_officialdom:职场 默认为xuanhuan_wuxia(武侠)。 :type Style: str """ self._Text = None self._SourceLang = None self._Number = None self._Domain = None self._Style = None @property def Text(self): """待续写的句子,文本统一使用utf-8格式编码,长度不超过200字符。 :rtype: str """ return self._Text @Text.setter def Text(self, Text): self._Text = Text @property def SourceLang(self): """待续写文本的语言类型,支持语言如下: zh:中文 en:英文 :rtype: str """ return self._SourceLang @SourceLang.setter def SourceLang(self, SourceLang): self._SourceLang = SourceLang @property def Number(self): """返回续写结果的个数。数量需>=1且<=5。 (注意实际结果可能小于指定个数) :rtype: int """ return self._Number @Number.setter def Number(self, Number): self._Number = Number @property def Domain(self): """指定续写领域,支持领域如下: general:通用领域,支持中英文补全 academic:学术领域,仅支持英文补全 默认为general(通用领域)。 :rtype: str """ return self._Domain @Domain.setter def Domain(self, Domain): self._Domain = Domain @property def Style(self): """指定续写风格,支持风格如下: science_fiction:科幻 military_history:军事 xuanhuan_wuxia:武侠 urban_officialdom:职场 默认为xuanhuan_wuxia(武侠)。 :rtype: str """ return self._Style @Style.setter def Style(self, Style): self._Style = Style def _deserialize(self, params): self._Text = params.get("Text") self._SourceLang = params.get("SourceLang") self._Number = params.get("Number") self._Domain = params.get("Domain") self._Style = params.get("Style") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set)) class TextWritingResponse(AbstractModel): """TextWriting返回参数结构体 """ def __init__(self): r""" :param _WritingList: 续写结果列表。 :type WritingList: list of Writing :param _RequestId: 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self._WritingList = None self._RequestId = None @property def WritingList(self): """续写结果列表。 :rtype: list of Writing """ return self._WritingList @WritingList.setter def WritingList(self, WritingList): self._WritingList = WritingList @property def RequestId(self): """唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 :rtype: str """ return self._RequestId @RequestId.setter def RequestId(self, RequestId): self._RequestId = RequestId def _deserialize(self, params): if params.get("WritingList") is not None: self._WritingList = [] for item in params.get("WritingList"): obj = Writing() obj._deserialize(item) self._WritingList.append(obj) self._RequestId = params.get("RequestId") class Writing(AbstractModel): """文本续写结果 """ def __init__(self): r""" :param _TargetText: 续写的文本。 :type TargetText: str :param _PrefixText: 续写的前缀。 :type PrefixText: str """ self._TargetText = None self._PrefixText = None @property def TargetText(self): """续写的文本。 :rtype: str """ return self._TargetText @TargetText.setter def TargetText(self, TargetText): self._TargetText = TargetText @property def PrefixText(self): """续写的前缀。 :rtype: str """ return self._PrefixText @PrefixText.setter def PrefixText(self, PrefixText): self._PrefixText = PrefixText def _deserialize(self, params): self._TargetText = params.get("TargetText") self._PrefixText = params.get("PrefixText") memeber_set = set(params.keys()) for name, value in vars(self).items(): property_name = name[1:] if property_name in memeber_set: memeber_set.remove(property_name) if len(memeber_set) > 0: warnings.warn("%s fileds are useless." % ",".join(memeber_set))
Memory