# -*- 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 CodeDetail(AbstractModel): """从图片中检测到的二维码，可能为多个 """ def __init__(self): r""" :param CodePosition: 二维码在图片中的位置，由边界点的坐标表示 :type CodePosition: list of CodePosition :param CodeCharset: 二维码文本的编码格式 :type CodeCharset: str :param CodeText: 二维码的文本内容 :type CodeText: str :param CodeType: 二维码的类型：1:ONED_BARCODE，2:QRCOD，3:WXCODE，4:PDF417，5:DATAMATRIX :type CodeType: int """ self.CodePosition = None self.CodeCharset = None self.CodeText = None self.CodeType = None def _deserialize(self, params): if params.get("CodePosition") is not None: self.CodePosition = [] for item in params.get("CodePosition"): obj = CodePosition() obj._deserialize(item) self.CodePosition.append(obj) self.CodeCharset = params.get("CodeCharset") self.CodeText = params.get("CodeText") self.CodeType = params.get("CodeType") 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 CodeDetect(AbstractModel): """图片二维码详情 """ def __init__(self): r""" :param ModerationDetail: 从图片中检测到的二维码，可能为多个 :type ModerationDetail: list of CodeDetail :param ModerationCode: 检测是否成功，0：成功，-1：出错 :type ModerationCode: int """ self.ModerationDetail = None self.ModerationCode = None def _deserialize(self, params): if params.get("ModerationDetail") is not None: self.ModerationDetail = [] for item in params.get("ModerationDetail"): obj = CodeDetail() obj._deserialize(item) self.ModerationDetail.append(obj) self.ModerationCode = params.get("ModerationCode") 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 CodePosition(AbstractModel): """二维码在图片中的位置，由边界点的坐标表示 """ def __init__(self): r""" :param FloatX: 二维码边界点X轴坐标 :type FloatX: float :param FloatY: 二维码边界点Y轴坐标 :type FloatY: float """ self.FloatX = None self.FloatY = None def _deserialize(self, params): self.FloatX = params.get("FloatX") self.FloatY = params.get("FloatY") 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 Coordinate(AbstractModel): """坐标 """ def __init__(self): r""" :param Cx: 左上角横坐标 :type Cx: int :param Cy: 左上角纵坐标 :type Cy: int :param Height: 高度 :type Height: int :param Width: 宽度 :type Width: int """ self.Cx = None self.Cy = None self.Height = None self.Width = None def _deserialize(self, params): self.Cx = params.get("Cx") self.Cy = params.get("Cy") self.Height = params.get("Height") self.Width = params.get("Width") 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 CreateFileSampleRequest(AbstractModel): """CreateFileSample请求参数结构体 """ def __init__(self): r""" :param Contents: 文件类型结构数组 :type Contents: list of FileSample :param EvilType: 恶意类型 100：正常 20001：政治 20002：色情 20006：涉毒违法 20007：谩骂 24001：暴恐 20105：广告引流 :type EvilType: int :param FileType: image：图片 :type FileType: str :param Label: 样本类型 1：黑库 2：白库 :type Label: int """ self.Contents = None self.EvilType = None self.FileType = None self.Label = None def _deserialize(self, params): if params.get("Contents") is not None: self.Contents = [] for item in params.get("Contents"): obj = FileSample() obj._deserialize(item) self.Contents.append(obj) self.EvilType = params.get("EvilType") self.FileType = params.get("FileType") self.Label = params.get("Label") 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 CreateFileSampleResponse(AbstractModel): """CreateFileSample返回参数结构体 """ def __init__(self): r""" :param Progress: 任务状态 1：已完成 2：处理中 :type Progress: int :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.Progress = None self.RequestId = None def _deserialize(self, params): self.Progress = params.get("Progress") self.RequestId = params.get("RequestId") class CreateTextSampleRequest(AbstractModel): """CreateTextSample请求参数结构体 """ def __init__(self): r""" :param Contents: 关键词数组 :type Contents: list of str :param EvilType: 恶意类型 100：正常 20001：政治 20002：色情 20006：涉毒违法 20007：谩骂 24001：暴恐 20105：广告引流 :type EvilType: int :param Label: 样本类型 1：黑库 2：白库 :type Label: int :param Test: 测试修改参数 :type Test: str """ self.Contents = None self.EvilType = None self.Label = None self.Test = None def _deserialize(self, params): self.Contents = params.get("Contents") self.EvilType = params.get("EvilType") self.Label = params.get("Label") self.Test = params.get("Test") 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 CreateTextSampleResponse(AbstractModel): """CreateTextSample返回参数结构体 """ def __init__(self): r""" :param ErrMsg: 操作样本失败时返回的错误信息示例： "样本1":错误码，"样本2":错误码 :type ErrMsg: str :param Progress: 任务状态 1：已完成 2：处理中 :type Progress: int :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.ErrMsg = None self.Progress = None self.RequestId = None def _deserialize(self, params): self.ErrMsg = params.get("ErrMsg") self.Progress = params.get("Progress") self.RequestId = params.get("RequestId") class CustomResult(AbstractModel): """文本返回的自定义词库结果 """ def __init__(self): r""" :param Keywords: 命中的自定义关键词 :type Keywords: list of str :param LibId: 自定义库id :type LibId: str :param LibName: 自定义词库名称 :type LibName: str :param Type: 命中的自定义关键词的类型 :type Type: str """ self.Keywords = None self.LibId = None self.LibName = None self.Type = None def _deserialize(self, params): self.Keywords = params.get("Keywords") self.LibId = params.get("LibId") self.LibName = params.get("LibName") self.Type = params.get("Type") 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 DeleteFileSampleRequest(AbstractModel): """DeleteFileSample请求参数结构体 """ def __init__(self): r""" :param Ids: 唯一标识数组 :type Ids: list of str """ self.Ids = None def _deserialize(self, params): self.Ids = params.get("Ids") 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 DeleteFileSampleResponse(AbstractModel): """DeleteFileSample返回参数结构体 """ def __init__(self): r""" :param Progress: 任务状态 1：已完成 2：处理中 :type Progress: int :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.Progress = None self.RequestId = None def _deserialize(self, params): self.Progress = params.get("Progress") self.RequestId = params.get("RequestId") class DeleteTextSampleRequest(AbstractModel): """DeleteTextSample请求参数结构体 """ def __init__(self): r""" :param Ids: 唯一标识数组，目前暂时只支持单个删除 :type Ids: list of str """ self.Ids = None def _deserialize(self, params): self.Ids = params.get("Ids") 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 DeleteTextSampleResponse(AbstractModel): """DeleteTextSample返回参数结构体 """ def __init__(self): r""" :param Progress: 任务状态 1：已完成 2：处理中 :type Progress: int :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.Progress = None self.RequestId = None def _deserialize(self, params): self.Progress = params.get("Progress") self.RequestId = params.get("RequestId") class DescribeFileSampleRequest(AbstractModel): """DescribeFileSample请求参数结构体 """ def __init__(self): r""" :param Filters: 支持通过标签值进行筛选 :type Filters: list of Filter :param Limit: 数量限制，默认为20，最大值为100 :type Limit: int :param Offset: 偏移量，默认为0 :type Offset: int :param OrderDirection: 升序（asc）还是降序（desc），默认：desc :type OrderDirection: str :param OrderField: 按某个字段排序，目前仅支持CreatedAt排序 :type OrderField: str """ self.Filters = None self.Limit = None self.Offset = None self.OrderDirection = None self.OrderField = None def _deserialize(self, params): if params.get("Filters") is not None: self.Filters = [] for item in params.get("Filters"): obj = Filter() obj._deserialize(item) self.Filters.append(obj) self.Limit = params.get("Limit") self.Offset = params.get("Offset") self.OrderDirection = params.get("OrderDirection") self.OrderField = params.get("OrderField") 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 DescribeFileSampleResponse(AbstractModel): """DescribeFileSample返回参数结构体 """ def __init__(self): r""" :param FileSampleSet: 符合要求的样本的信息 :type FileSampleSet: list of FileSampleInfo :param TotalCount: 符合要求的样本的数量 :type TotalCount: int :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.FileSampleSet = None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get("FileSampleSet") is not None: self.FileSampleSet = [] for item in params.get("FileSampleSet"): obj = FileSampleInfo() obj._deserialize(item) self.FileSampleSet.append(obj) self.TotalCount = params.get("TotalCount") self.RequestId = params.get("RequestId") class DescribeTextSampleRequest(AbstractModel): """DescribeTextSample请求参数结构体 """ def __init__(self): r""" :param Filters: 支持通过标签值进行筛选 :type Filters: list of Filter :param Limit: 数量限制，默认为20，最大值为100 :type Limit: int :param Offset: 偏移量，默认为0 :type Offset: int :param OrderDirection: 升序（asc）还是降序（desc），默认：desc :type OrderDirection: str :param OrderField: 按某个字段排序，目前仅支持CreatedAt排序 :type OrderField: str """ self.Filters = None self.Limit = None self.Offset = None self.OrderDirection = None self.OrderField = None def _deserialize(self, params): if params.get("Filters") is not None: self.Filters = [] for item in params.get("Filters"): obj = Filter() obj._deserialize(item) self.Filters.append(obj) self.Limit = params.get("Limit") self.Offset = params.get("Offset") self.OrderDirection = params.get("OrderDirection") self.OrderField = params.get("OrderField") 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 DescribeTextSampleResponse(AbstractModel): """DescribeTextSample返回参数结构体 """ def __init__(self): r""" :param TextSampleSet: 符合要求的样本的信息 :type TextSampleSet: list of TextSample :param TotalCount: 符合要求的样本的数量 :type TotalCount: int :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.TextSampleSet = None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get("TextSampleSet") is not None: self.TextSampleSet = [] for item in params.get("TextSampleSet"): obj = TextSample() obj._deserialize(item) self.TextSampleSet.append(obj) self.TotalCount = params.get("TotalCount") self.RequestId = params.get("RequestId") class DetailResult(AbstractModel): """文本返回的详细结果 """ def __init__(self): r""" :param EvilLabel: 恶意标签，Normal：正常，Polity：涉政，Porn：色情，Illegal：违法，Abuse：谩骂，Terror：暴恐，Ad：广告，Custom：自定义关键词 :type EvilLabel: str :param EvilType: 恶意类型 100：正常 20001：政治 20002：色情 20006：涉毒违法 20007：谩骂 20105：广告引流 24001：暴恐 :type EvilType: int :param Keywords: 该标签下命中的关键词 :type Keywords: list of str :param Score: 该标签模型命中的分值 :type Score: int """ self.EvilLabel = None self.EvilType = None self.Keywords = None self.Score = None def _deserialize(self, params): self.EvilLabel = params.get("EvilLabel") self.EvilType = params.get("EvilType") self.Keywords = params.get("Keywords") self.Score = params.get("Score") 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 Device(AbstractModel): """设备信息 """ def __init__(self): r""" :param DeviceId: 设备指纹ID :type DeviceId: str :param IDFA: IOS设备，Identifier For Advertising（广告标识符） :type IDFA: str :param IDFV: IOS设备，IDFV - Identifier For Vendor（应用开发商标识符） :type IDFV: str :param IMEI: 设备序列号 :type IMEI: str :param IP: 用户IP :type IP: str :param Mac: Mac地址 :type Mac: str :param TokenId: 设备指纹Token :type TokenId: str """ self.DeviceId = None self.IDFA = None self.IDFV = None self.IMEI = None self.IP = None self.Mac = None self.TokenId = None def _deserialize(self, params): self.DeviceId = params.get("DeviceId") self.IDFA = params.get("IDFA") self.IDFV = params.get("IDFV") self.IMEI = params.get("IMEI") self.IP = params.get("IP") self.Mac = params.get("Mac") self.TokenId = params.get("TokenId") 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 FileSample(AbstractModel): """文件类型样本 """ def __init__(self): r""" :param FileMd5: 文件md5 :type FileMd5: str :param FileName: 文件名称 :type FileName: str :param FileUrl: 文件url :type FileUrl: str :param CompressFileUrl: 文件压缩后云url :type CompressFileUrl: str """ self.FileMd5 = None self.FileName = None self.FileUrl = None self.CompressFileUrl = None def _deserialize(self, params): self.FileMd5 = params.get("FileMd5") self.FileName = params.get("FileName") self.FileUrl = params.get("FileUrl") self.CompressFileUrl = params.get("CompressFileUrl") 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 FileSampleInfo(AbstractModel): """文件样本返回信息 """ def __init__(self): r""" :param Code: 处理错误码 :type Code: int :param CreatedAt: 创建时间戳 :type CreatedAt: int :param EvilType: 恶意类型 100：正常 20001：政治 20002：色情 20006：涉毒违法 20007：谩骂 24001：暴恐 :type EvilType: int :param FileMd5: 文件的md5 :type FileMd5: str :param FileName: 文件名称 :type FileName: str :param FileType: 文件类型 :type FileType: str :param Id: 唯一标识 :type Id: str :param Label: 样本类型 1：黑库 2：白库 :type Label: int :param Status: 任务状态 1：添加完成 2：添加处理中 3：下载中 4：下载完成 5：上传完成 6：步骤完成 :type Status: int :param CompressFileUrl: 文件压缩后云url :type CompressFileUrl: str :param FileUrl: 文件的url :type FileUrl: str """ self.Code = None self.CreatedAt = None self.EvilType = None self.FileMd5 = None self.FileName = None self.FileType = None self.Id = None self.Label = None self.Status = None self.CompressFileUrl = None self.FileUrl = None def _deserialize(self, params): self.Code = params.get("Code") self.CreatedAt = params.get("CreatedAt") self.EvilType = params.get("EvilType") self.FileMd5 = params.get("FileMd5") self.FileName = params.get("FileName") self.FileType = params.get("FileType") self.Id = params.get("Id") self.Label = params.get("Label") self.Status = params.get("Status") self.CompressFileUrl = params.get("CompressFileUrl") self.FileUrl = params.get("FileUrl") 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 Filter(AbstractModel): """筛选数据结构 """ def __init__(self): r""" :param Name: 需要过滤的字段 :type Name: str :param Value: 需要过滤字段的值 :type Value: str """ self.Name = None self.Value = None def _deserialize(self, params): self.Name = params.get("Name") self.Value = params.get("Value") 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 ImageData(AbstractModel): """图片识别结果详情 """ def __init__(self): r""" :param EvilFlag: 是否恶意 0：正常 1：可疑 :type EvilFlag: int :param EvilType: 恶意类型 100：正常 20001：政治 20002：色情 20006：涉毒违法 20007：谩骂 20103：性感 24001：暴恐 :type EvilType: int :param CodeDetect: 图片二维码详情 :type CodeDetect: :class:`tencentcloud.cms.v20190321.models.CodeDetect` :param HotDetect: 图片性感详情 :type HotDetect: :class:`tencentcloud.cms.v20190321.models.ImageHotDetect` :param IllegalDetect: 图片违法详情 :type IllegalDetect: :class:`tencentcloud.cms.v20190321.models.ImageIllegalDetect` :param LogoDetect: logo详情 :type LogoDetect: :class:`tencentcloud.cms.v20190321.models.LogoDetail` :param OCRDetect: 图片OCR详情 :type OCRDetect: :class:`tencentcloud.cms.v20190321.models.OCRDetect` :param PhoneDetect: 手机检测详情 :type PhoneDetect: :class:`tencentcloud.cms.v20190321.models.PhoneDetect` :param PolityDetect: 图片涉政详情 :type PolityDetect: :class:`tencentcloud.cms.v20190321.models.ImagePolityDetect` :param PornDetect: 图片涉黄详情 :type PornDetect: :class:`tencentcloud.cms.v20190321.models.ImagePornDetect` :param Similar: 图片相似度详情 :type Similar: :class:`tencentcloud.cms.v20190321.models.Similar` :param TerrorDetect: 图片暴恐详情 :type TerrorDetect: :class:`tencentcloud.cms.v20190321.models.ImageTerrorDetect` """ self.EvilFlag = None self.EvilType = None self.CodeDetect = None self.HotDetect = None self.IllegalDetect = None self.LogoDetect = None self.OCRDetect = None self.PhoneDetect = None self.PolityDetect = None self.PornDetect = None self.Similar = None self.TerrorDetect = None def _deserialize(self, params): self.EvilFlag = params.get("EvilFlag") self.EvilType = params.get("EvilType") if params.get("CodeDetect") is not None: self.CodeDetect = CodeDetect() self.CodeDetect._deserialize(params.get("CodeDetect")) if params.get("HotDetect") is not None: self.HotDetect = ImageHotDetect() self.HotDetect._deserialize(params.get("HotDetect")) if params.get("IllegalDetect") is not None: self.IllegalDetect = ImageIllegalDetect() self.IllegalDetect._deserialize(params.get("IllegalDetect")) if params.get("LogoDetect") is not None: self.LogoDetect = LogoDetail() self.LogoDetect._deserialize(params.get("LogoDetect")) if params.get("OCRDetect") is not None: self.OCRDetect = OCRDetect() self.OCRDetect._deserialize(params.get("OCRDetect")) if params.get("PhoneDetect") is not None: self.PhoneDetect = PhoneDetect() self.PhoneDetect._deserialize(params.get("PhoneDetect")) if params.get("PolityDetect") is not None: self.PolityDetect = ImagePolityDetect() self.PolityDetect._deserialize(params.get("PolityDetect")) if params.get("PornDetect") is not None: self.PornDetect = ImagePornDetect() self.PornDetect._deserialize(params.get("PornDetect")) if params.get("Similar") is not None: self.Similar = Similar() self.Similar._deserialize(params.get("Similar")) if params.get("TerrorDetect") is not None: self.TerrorDetect = ImageTerrorDetect() self.TerrorDetect._deserialize(params.get("TerrorDetect")) 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 ImageHotDetect(AbstractModel): """图片性感详情 """ def __init__(self): r""" :param EvilType: 恶意类型 100：正常 20103：性感 :type EvilType: int :param HitFlag: 处置判定 0：正常 1：可疑 :type HitFlag: int :param Keywords: 关键词明细 :type Keywords: list of str :param Labels: 性感标签：性感特征中文描述 :type Labels: list of str :param Score: 性感分：分值范围 0-100，分数越高性感倾向越明显 :type Score: int """ self.EvilType = None self.HitFlag = None self.Keywords = None self.Labels = None self.Score = None def _deserialize(self, params): self.EvilType = params.get("EvilType") self.HitFlag = params.get("HitFlag") self.Keywords = params.get("Keywords") self.Labels = params.get("Labels") self.Score = params.get("Score") 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 ImageIllegalDetect(AbstractModel): """图片违法详情 """ def __init__(self): r""" :param EvilType: 恶意类型 100：正常 20006：涉毒违法 :type EvilType: int :param HitFlag: 处置判定 0：正常 1：可疑 :type HitFlag: int :param Keywords: 关键词明细 :type Keywords: list of str :param Labels: 违法标签：返回违法特征中文描述，如赌桌，枪支 :type Labels: list of str :param Score: 违法分：分值范围 0-100，分数越高违法倾向越明显 :type Score: int """ self.EvilType = None self.HitFlag = None self.Keywords = None self.Labels = None self.Score = None def _deserialize(self, params): self.EvilType = params.get("EvilType") self.HitFlag = params.get("HitFlag") self.Keywords = params.get("Keywords") self.Labels = params.get("Labels") self.Score = params.get("Score") 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 ImageModerationRequest(AbstractModel): """ImageModeration请求参数结构体 """ def __init__(self): r""" :param FileContent: 文件内容 Base64,与FileUrl必须二填一 :type FileContent: str :param FileMD5: 文件MD5值 :type FileMD5: str :param FileUrl: 文件地址 :type FileUrl: str """ self.FileContent = None self.FileMD5 = None self.FileUrl = None def _deserialize(self, params): self.FileContent = params.get("FileContent") self.FileMD5 = params.get("FileMD5") self.FileUrl = params.get("FileUrl") 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 ImageModerationResponse(AbstractModel): """ImageModeration返回参数结构体 """ def __init__(self): r""" :param Data: 识别结果 :type Data: :class:`tencentcloud.cms.v20190321.models.ImageData` :param BusinessCode: 业务返回码 :type BusinessCode: int :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.BusinessCode = None self.RequestId = None def _deserialize(self, params): if params.get("Data") is not None: self.Data = ImageData() self.Data._deserialize(params.get("Data")) self.BusinessCode = params.get("BusinessCode") self.RequestId = params.get("RequestId") class ImagePolityDetect(AbstractModel): """图片涉政详情 """ def __init__(self): r""" :param EvilType: 恶意类型 100：正常 20001：政治 :type EvilType: int :param HitFlag: 处置判定 0：正常 1：可疑 :type HitFlag: int :param PolityLogoDetail: 命中的logo标签信息 :type PolityLogoDetail: list of Logo :param FaceNames: 命中的人脸名称 :type FaceNames: list of str :param Keywords: 关键词明细 :type Keywords: list of str :param PolityItems: 命中的政治物品名称 :type PolityItems: list of str :param Score: 政治（人脸）分：分值范围 0-100，分数越高可疑程度越高 :type Score: int """ self.EvilType = None self.HitFlag = None self.PolityLogoDetail = None self.FaceNames = None self.Keywords = None self.PolityItems = None self.Score = None def _deserialize(self, params): self.EvilType = params.get("EvilType") self.HitFlag = params.get("HitFlag") if params.get("PolityLogoDetail") is not None: self.PolityLogoDetail = [] for item in params.get("PolityLogoDetail"): obj = Logo() obj._deserialize(item) self.PolityLogoDetail.append(obj) self.FaceNames = params.get("FaceNames") self.Keywords = params.get("Keywords") self.PolityItems = params.get("PolityItems") self.Score = params.get("Score") 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 ImagePornDetect(AbstractModel): """图片涉黄详情 """ def __init__(self): r""" :param EvilType: 恶意类型 100：正常 20002：色情 :type EvilType: int :param HitFlag: 处置判定 0：正常 1：可疑 :type HitFlag: int :param Keywords: 关键词明细 :type Keywords: list of str :param Labels: 色情标签：色情特征中文描述 :type Labels: list of str :param Score: 色情分：分值范围 0-100，分数越高色情倾向越明显 :type Score: int """ self.EvilType = None self.HitFlag = None self.Keywords = None self.Labels = None self.Score = None def _deserialize(self, params): self.EvilType = params.get("EvilType") self.HitFlag = params.get("HitFlag") self.Keywords = params.get("Keywords") self.Labels = params.get("Labels") self.Score = params.get("Score") 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 ImageTerrorDetect(AbstractModel): """图片暴恐详情 """ def __init__(self): r""" :param EvilType: 恶意类型 100：正常 24001：暴恐 :type EvilType: int :param HitFlag: 处置判定 0：正常 1：可疑 :type HitFlag: int :param Keywords: 关键词明细 :type Keywords: list of str :param Labels: 暴恐标签：返回暴恐特征中文描述 :type Labels: list of str :param Score: 暴恐分：分值范围0--100，分数越高暴恐倾向越明显 :type Score: int """ self.EvilType = None self.HitFlag = None self.Keywords = None self.Labels = None self.Score = None def _deserialize(self, params): self.EvilType = params.get("EvilType") self.HitFlag = params.get("HitFlag") self.Keywords = params.get("Keywords") self.Labels = params.get("Labels") self.Score = params.get("Score") 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 Logo(AbstractModel): """Logo """ def __init__(self): r""" :param RrectF: logo图标坐标信息 :type RrectF: :class:`tencentcloud.cms.v20190321.models.RrectF` :param Confidence: logo图标置信度 :type Confidence: float :param Name: logo图标名称 :type Name: str """ self.RrectF = None self.Confidence = None self.Name = None def _deserialize(self, params): if params.get("RrectF") is not None: self.RrectF = RrectF() self.RrectF._deserialize(params.get("RrectF")) self.Confidence = params.get("Confidence") self.Name = params.get("Name") 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 LogoDetail(AbstractModel): """LogoDetail """ def __init__(self): r""" :param AppLogoDetail: 命中的Applogo详情 :type AppLogoDetail: list of Logo """ self.AppLogoDetail = None def _deserialize(self, params): if params.get("AppLogoDetail") is not None: self.AppLogoDetail = [] for item in params.get("AppLogoDetail"): obj = Logo() obj._deserialize(item) self.AppLogoDetail.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 ManualReviewContent(AbstractModel): """人审审核数据相关信息 """ def __init__(self): r""" :param BatchId: 审核批次号 :type BatchId: str :param Content: 审核内容 :type Content: str :param ContentId: 消息Id :type ContentId: str :param ContentType: 审核内容类型 1 图片 2 视频 3 文本 4 音频 :type ContentType: int :param UserInfo: 用户信息 :type UserInfo: :class:`tencentcloud.cms.v20190321.models.User` :param AutoDetailCode: 机器审核类型，与腾讯机器审核定义一致 100 正常 20001 政治 20002 色情 20006 违法 20007 谩骂 24001 暴恐 20105 广告 20103 性感 :type AutoDetailCode: int :param AutoResult: 机器审核结果 0 放过 1 拦截 :type AutoResult: int :param CallBackInfo: 回调信息标识，回传数据时原样返回 :type CallBackInfo: str :param CreateTime: 创建时间 格式“2020-01-01 00:00:12” :type CreateTime: str :param Priority: 审核优先级，可选值 [1,2,3,4]，其中 1 最高，4 最低 :type Priority: int :param Title: 标题 :type Title: str """ self.BatchId = None self.Content = None self.ContentId = None self.ContentType = None self.UserInfo = None self.AutoDetailCode = None self.AutoResult = None self.CallBackInfo = None self.CreateTime = None self.Priority = None self.Title = None def _deserialize(self, params): self.BatchId = params.get("BatchId") self.Content = params.get("Content") self.ContentId = params.get("ContentId") self.ContentType = params.get("ContentType") if params.get("UserInfo") is not None: self.UserInfo = User() self.UserInfo._deserialize(params.get("UserInfo")) self.AutoDetailCode = params.get("AutoDetailCode") self.AutoResult = params.get("AutoResult") self.CallBackInfo = params.get("CallBackInfo") self.CreateTime = params.get("CreateTime") self.Priority = params.get("Priority") self.Title = params.get("Title") 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 ManualReviewData(AbstractModel): """人工审核接口返回结果，由ContentId和BatchId组成 """ def __init__(self): r""" :param BatchId: 人审内容批次号 :type BatchId: str :param ContentId: 人审内容ID :type ContentId: str """ self.BatchId = None self.ContentId = None def _deserialize(self, params): self.BatchId = params.get("BatchId") self.ContentId = params.get("ContentId") 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 ManualReviewRequest(AbstractModel): """ManualReview请求参数结构体 """ def __init__(self): r""" :param ReviewContent: 人工审核信息 :type ReviewContent: :class:`tencentcloud.cms.v20190321.models.ManualReviewContent` """ self.ReviewContent = None def _deserialize(self, params): if params.get("ReviewContent") is not None: self.ReviewContent = ManualReviewContent() self.ReviewContent._deserialize(params.get("ReviewContent")) 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 ManualReviewResponse(AbstractModel): """ManualReview返回参数结构体 """ def __init__(self): r""" :param Data: 人审接口同步响应结果 :type Data: :class:`tencentcloud.cms.v20190321.models.ManualReviewData` :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 = ManualReviewData() self.Data._deserialize(params.get("Data")) self.RequestId = params.get("RequestId") class OCRDetect(AbstractModel): """OCR识别结果详情 """ def __init__(self): r""" :param Item: 识别到的详细信息 :type Item: list of OCRItem :param TextInfo: 识别到的文本信息 :type TextInfo: str """ self.Item = None self.TextInfo = None def _deserialize(self, params): if params.get("Item") is not None: self.Item = [] for item in params.get("Item"): obj = OCRItem() obj._deserialize(item) self.Item.append(obj) self.TextInfo = params.get("TextInfo") 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 OCRItem(AbstractModel): """OCR详情 """ def __init__(self): r""" :param TextPosition: 检测到的文本坐标信息 :type TextPosition: :class:`tencentcloud.cms.v20190321.models.Coordinate` :param EvilLabel: 文本命中具体标签 :type EvilLabel: str :param EvilType: 文本命中恶意违规类型 :type EvilType: int :param Keywords: 文本命中违规的关键词 :type Keywords: list of str :param Rate: 文本涉嫌违规分值 :type Rate: int :param TextContent: 检测到的文本信息 :type TextContent: str """ self.TextPosition = None self.EvilLabel = None self.EvilType = None self.Keywords = None self.Rate = None self.TextContent = None def _deserialize(self, params): if params.get("TextPosition") is not None: self.TextPosition = Coordinate() self.TextPosition._deserialize(params.get("TextPosition")) self.EvilLabel = params.get("EvilLabel") self.EvilType = params.get("EvilType") self.Keywords = params.get("Keywords") self.Rate = params.get("Rate") self.TextContent = params.get("TextContent") 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 PhoneDetect(AbstractModel): """手机模型识别检测 """ def __init__(self): r""" :param EvilType: 恶意类型 100：正常 21000：综合 :type EvilType: int :param HitFlag: 处置判定 0：正常 1：可疑 :type HitFlag: int :param Labels: 特征中文描述 :type Labels: list of str :param Score: 分值范围 0-100，分数越高倾向越明显 :type Score: int """ self.EvilType = None self.HitFlag = None self.Labels = None self.Score = None def _deserialize(self, params): self.EvilType = params.get("EvilType") self.HitFlag = params.get("HitFlag") self.Labels = params.get("Labels") self.Score = params.get("Score") 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 RiskDetails(AbstractModel): """账号风险检测结果 """ def __init__(self): r""" :param Keywords: 预留字段，暂时不使用 :type Keywords: list of str :param Label: 风险类别，RiskAccount，RiskIP, RiskIMEI :type Label: str :param Lable: 预留字段，暂时不用 :type Lable: str :param Level: 风险等级，1:疑似，2：恶意 :type Level: int """ self.Keywords = None self.Label = None self.Lable = None self.Level = None def _deserialize(self, params): self.Keywords = params.get("Keywords") self.Label = params.get("Label") self.Lable = params.get("Lable") self.Level = params.get("Level") 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 RrectF(AbstractModel): """logo位置信息 """ def __init__(self): r""" :param Cx: logo横坐标 :type Cx: float :param Cy: logo纵坐标 :type Cy: float :param Height: logo图标高度 :type Height: float :param Rotate: logo图标中心旋转度 :type Rotate: float :param Width: logo图标宽度 :type Width: float """ self.Cx = None self.Cy = None self.Height = None self.Rotate = None self.Width = None def _deserialize(self, params): self.Cx = params.get("Cx") self.Cy = params.get("Cy") self.Height = params.get("Height") self.Rotate = params.get("Rotate") self.Width = params.get("Width") 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 Similar(AbstractModel): """相似度详情 """ def __init__(self): r""" :param EvilType: 恶意类型 100：正常 20001：政治 20002：色情 20006：涉毒违法 20007：谩骂 24001：暴恐 :type EvilType: int :param HitFlag: 处置判定 0：未匹配到 1：恶意 2：白样本 :type HitFlag: int :param SeedUrl: 返回的种子url :type SeedUrl: str """ self.EvilType = None self.HitFlag = None self.SeedUrl = None def _deserialize(self, params): self.EvilType = params.get("EvilType") self.HitFlag = params.get("HitFlag") self.SeedUrl = params.get("SeedUrl") 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 TextData(AbstractModel): """文本识别结果详情 """ def __init__(self): r""" :param EvilFlag: 是否恶意 0：正常 1：可疑 :type EvilFlag: int :param EvilType: 恶意类型 100：正常 20001：政治 20002：色情 20006：涉毒违法 20007：谩骂 20105：广告引流 24001：暴恐 :type EvilType: int :param Common: 消息类公共相关参数 :type Common: :class:`tencentcloud.cms.v20190321.models.TextOutputComm` :param CustomResult: 返回的自定义词库结果 :type CustomResult: list of CustomResult :param DetailResult: 返回的详细结果 :type DetailResult: list of DetailResult :param ID: 消息类ID信息 :type ID: :class:`tencentcloud.cms.v20190321.models.TextOutputID` :param Res: 消息类输出结果 :type Res: :class:`tencentcloud.cms.v20190321.models.TextOutputRes` :param RiskDetails: 账号风险检测结果 :type RiskDetails: list of RiskDetails :param BizType: 最终使用的BizType :type BizType: int :param DataId: 和请求中的DataId一致，原样返回 :type DataId: str :param EvilLabel: 恶意标签，Normal：正常，Polity：涉政，Porn：色情，Illegal：违法，Abuse：谩骂，Terror：暴恐，Ad：广告，Custom：自定义关键词 :type EvilLabel: str :param Extra: 输出的其他信息，不同客户内容不同 :type Extra: str :param Keywords: 命中的关键词 :type Keywords: list of str :param Score: 命中的模型分值 :type Score: int :param Suggestion: 建议值,Block：打击,Review：待复审,Normal：正常 :type Suggestion: str """ self.EvilFlag = None self.EvilType = None self.Common = None self.CustomResult = None self.DetailResult = None self.ID = None self.Res = None self.RiskDetails = None self.BizType = None self.DataId = None self.EvilLabel = None self.Extra = None self.Keywords = None self.Score = None self.Suggestion = None def _deserialize(self, params): self.EvilFlag = params.get("EvilFlag") self.EvilType = params.get("EvilType") if params.get("Common") is not None: self.Common = TextOutputComm() self.Common._deserialize(params.get("Common")) if params.get("CustomResult") is not None: self.CustomResult = [] for item in params.get("CustomResult"): obj = CustomResult() obj._deserialize(item) self.CustomResult.append(obj) if params.get("DetailResult") is not None: self.DetailResult = [] for item in params.get("DetailResult"): obj = DetailResult() obj._deserialize(item) self.DetailResult.append(obj) if params.get("ID") is not None: self.ID = TextOutputID() self.ID._deserialize(params.get("ID")) if params.get("Res") is not None: self.Res = TextOutputRes() self.Res._deserialize(params.get("Res")) if params.get("RiskDetails") is not None: self.RiskDetails = [] for item in params.get("RiskDetails"): obj = RiskDetails() obj._deserialize(item) self.RiskDetails.append(obj) self.BizType = params.get("BizType") self.DataId = params.get("DataId") self.EvilLabel = params.get("EvilLabel") self.Extra = params.get("Extra") self.Keywords = params.get("Keywords") self.Score = params.get("Score") self.Suggestion = params.get("Suggestion") 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 TextModerationRequest(AbstractModel): """TextModeration请求参数结构体 """ def __init__(self): r""" :param Content: 文本内容Base64编码。原文长度需小于15000字节，即5000个汉字以内。 :type Content: str :param Device: 设备相关信息 :type Device: :class:`tencentcloud.cms.v20190321.models.Device` :param User: 用户相关信息 :type User: :class:`tencentcloud.cms.v20190321.models.User` :param BizType: 该字段用于标识业务场景。您可以在内容安全控制台创建对应的ID，配置不同的内容审核策略，通过接口调用，默认不填为0，后端使用默认策略 :type BizType: int :param DataId: 数据ID，英文字母、下划线、-组成，不超过64个字符 :type DataId: str :param SdkAppId: 业务应用ID :type SdkAppId: int """ self.Content = None self.Device = None self.User = None self.BizType = None self.DataId = None self.SdkAppId = None def _deserialize(self, params): self.Content = params.get("Content") if params.get("Device") is not None: self.Device = Device() self.Device._deserialize(params.get("Device")) if params.get("User") is not None: self.User = User() self.User._deserialize(params.get("User")) self.BizType = params.get("BizType") self.DataId = params.get("DataId") self.SdkAppId = params.get("SdkAppId") 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 TextModerationResponse(AbstractModel): """TextModeration返回参数结构体 """ def __init__(self): r""" :param Data: 识别结果 :type Data: :class:`tencentcloud.cms.v20190321.models.TextData` :param BusinessCode: 业务返回码 :type BusinessCode: int :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.BusinessCode = None self.RequestId = None def _deserialize(self, params): if params.get("Data") is not None: self.Data = TextData() self.Data._deserialize(params.get("Data")) self.BusinessCode = params.get("BusinessCode") self.RequestId = params.get("RequestId") class TextOutputComm(AbstractModel): """消息类输出公共参数 """ def __init__(self): r""" :param AppID: 接入业务的唯一ID :type AppID: int :param BUCtrlID: 接口唯一ID，旁路调用接口返回有该字段，标识唯一接口 :type BUCtrlID: int :param SendTime: 消息发送时间 :type SendTime: int :param Uin: 请求字段里的Common.Uin :type Uin: int """ self.AppID = None self.BUCtrlID = None self.SendTime = None self.Uin = None def _deserialize(self, params): self.AppID = params.get("AppID") self.BUCtrlID = params.get("BUCtrlID") self.SendTime = params.get("SendTime") self.Uin = params.get("Uin") 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 TextOutputID(AbstractModel): """消息类输出ID参数 """ def __init__(self): r""" :param MsgID: 接入业务的唯一ID :type MsgID: str :param Uin: 用户账号uin，对应请求协议里的Content.User.Uin。旁路结果有回带，串联结果无该字段 :type Uin: str """ self.MsgID = None self.Uin = None def _deserialize(self, params): self.MsgID = params.get("MsgID") self.Uin = params.get("Uin") 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 TextOutputRes(AbstractModel): """消息类输出结果参数 """ def __init__(self): r""" :param Operator: 操作人,信安处理人企业微信ID :type Operator: str :param ResultCode: 恶意操作码， 删除（1）， 通过（2）， 先审后发（100012） :type ResultCode: int :param ResultMsg: 操作结果备注说明 :type ResultMsg: str :param ResultType: 恶意类型，广告（10001）， 政治（20001）， 色情（20002）， 社会事件（20004）， 暴力（20011）， 低俗（20012）， 违法犯罪（20006）， 欺诈（20008）， 版权（20013）， 谣言（20104）， 其他（21000） :type ResultType: int """ self.Operator = None self.ResultCode = None self.ResultMsg = None self.ResultType = None def _deserialize(self, params): self.Operator = params.get("Operator") self.ResultCode = params.get("ResultCode") self.ResultMsg = params.get("ResultMsg") self.ResultType = params.get("ResultType") 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 TextSample(AbstractModel): """文字样本信息 """ def __init__(self): r""" :param Code: 处理错误码 :type Code: int :param Content: 关键词 :type Content: str :param CreatedAt: 创建时间戳 :type CreatedAt: int :param EvilType: 恶意类型 100：正常 20001：政治 20002：色情 20006：涉毒违法 20007：谩骂 20105：广告引流 24001：暴恐 :type EvilType: int :param Id: 唯一标识 :type Id: str :param Label: 样本类型 1：黑库 2：白库 :type Label: int :param Status: 任务状态 1：已完成 2：处理中 :type Status: int """ self.Code = None self.Content = None self.CreatedAt = None self.EvilType = None self.Id = None self.Label = None self.Status = None def _deserialize(self, params): self.Code = params.get("Code") self.Content = params.get("Content") self.CreatedAt = params.get("CreatedAt") self.EvilType = params.get("EvilType") self.Id = params.get("Id") self.Label = params.get("Label") self.Status = params.get("Status") 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 User(AbstractModel): """用户相关信息 """ def __init__(self): r""" :param AccountType: 账号类别，"1-微信uin 2-QQ号 3-微信群uin 4-qq群号 5-微信openid 6-QQopenid 7-其它string" :type AccountType: int :param Age: 年龄 默认0 未知 :type Age: int :param Gender: 性别 默认0 未知 1 男性 2 女性 :type Gender: int :param Level: 用户等级，默认0 未知 1 低 2 中 3 高 :type Level: int :param Nickname: 用户昵称 :type Nickname: str :param Phone: 手机号 :type Phone: str :param UserId: 用户账号ID，如填写，会根据账号历史恶意情况，判定消息有害结果，特别是有利于可疑恶意情况下的辅助判断。账号可以填写微信uin、QQ号、微信openid、QQopenid、字符串等。该字段和账号类别确定唯一账号。 :type UserId: str """ self.AccountType = None self.Age = None self.Gender = None self.Level = None self.Nickname = None self.Phone = None self.UserId = None def _deserialize(self, params): self.AccountType = params.get("AccountType") self.Age = params.get("Age") self.Gender = params.get("Gender") self.Level = params.get("Level") self.Nickname = params.get("Nickname") self.Phone = params.get("Phone") self.UserId = params.get("UserId") 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))