# -*- 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 json from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException from tencentcloud.common.abstract_client import AbstractClient from tencentcloud.tms.v20201229 import models class TmsClient(AbstractClient): _apiVersion = '2020-12-29' _endpoint = 'tms.tencentcloudapi.com' _service = 'tms' def TextModeration(self, request): """本接口(Text Moderation)用于提交文本内容进行智能审核任务。使用前请您使用腾讯云主账号登录控制台 [开通文本内容安全服务](https://console.cloud.tencent.com/cms) 并调整好对应的业务配置。 ### 接口使用说明 - 前往“[内容安全控制台-文本内容安全](https://console.cloud.tencent.com/cms)”开启使用文本内容安全服务,首次开通服务的用户可免费领用试用套餐包,包含**3000条**文本识别额度,有效期为15天。 - 该接口为收费接口,计费方式敬请参见 [腾讯云文本内容安全定价](https://cloud.tencent.com/product/tms/pricing)。 ### 接口功能说明: - 支持对文本文件进行检测,通过深度学习技术,识别可能令人反感、不安全或不适宜的违规文本内容; - 支持识别多种违规场景,包括:低俗、谩骂、色情、广告等场景; - 支持根据不同的业务场景配置自定义的审核策略,可在控制台文本内容安全-策略管理中配置; - 支持用户自定义配置词库黑白名单,打击自定义识别类型的违规文本(目前仅支持黑名单配置); - 支持在审核文本内容时同时关联账号或设备信息,可识别违规风险账号或设备。 ### 接口调用说明: - 文本内容大小支持:文本原文长度不能超过unicode编码长度10000个字符; - 文本审核语言支持:目前支持中文、英文、阿拉伯数字的检测; - 默认接口请求频率限制:**1000次/秒**,超过该频率限制则接口会报错。 :param request: Request instance for TextModeration. :type request: :class:`tencentcloud.tms.v20201229.models.TextModerationRequest` :rtype: :class:`tencentcloud.tms.v20201229.models.TextModerationResponse` """ try: params = request._serialize() headers = request.headers body = self.call("TextModeration", params, headers=headers) response = json.loads(body) model = models.TextModerationResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e))
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