在虚拟助理上启用QnA后续方案

Question

我目前在我的QnA对上有后续提示，但是当在本地运行机器人或使用网络聊天时，这些提示不会出现。是否有一种使用虚拟助理模板启用此功能的方法？

后续提示在使用QnA机器人时有效，但在虚拟助手上无效。

Answer 1

Steven发布的C# .NET核心示例是一个很好的资源。如果您喜欢教程样式指南，这个可能会有帮助：https://www.joji.me/en-us/blog/implement-follow-up-prompt-for-qna-bot/。

所概述的步骤包括：

1. 编辑您的Bots\YourBotName.cs，添加以下名称空间，以支持后续提示：

using Newtonsoft.Json;
using System.Collections.Generic;
using System.Text;

1. 添加以下类以匹配JSON响应形状：

class FollowUpCheckResult
 {
     [JsonProperty("answers")]
     public FollowUpCheckQnAAnswer[] Answers
     {
         get;
         set;
     }
 }

 class FollowUpCheckQnAAnswer
 {
     [JsonProperty("context")]
     public FollowUpCheckContext Context
     {
         get;
         set;
     }
 }

 class FollowUpCheckContext
 {
     [JsonProperty("prompts")]
     public FollowUpCheckPrompt[] Prompts
     {
         get;
         set;
     }
 }

 class FollowUpCheckPrompt
 {
     [JsonProperty("displayText")]
     public string DisplayText
     {
         get;
         set;
     }
 }

1. 在qnaMaker.GetAnswersAsync成功并且有有效答案之后，执行一个额外的HTTP来检查后续提示：

// The actual call to the QnA Maker service.
 var response = await qnaMaker.GetAnswersAsync(turnContext);
 if (response != null && response.Length > 0)
 {
     // create http client to perform qna query
     var followUpCheckHttpClient = new HttpClient();

     // add QnAAuthKey to Authorization header
     followUpCheckHttpClient.DefaultRequestHeaders.Add("Authorization", _configuration["QnAAuthKey"]);

     // construct the qna query url
     var url = $"{GetHostname()}/knowledgebases/{_configuration["QnAKnowledgebaseId"]}/generateAnswer"; 

     // post query
     var checkFollowUpJsonResponse = await followUpCheckHttpClient.PostAsync(url, new StringContent("{\"question\":\"" + turnContext.Activity.Text + "\"}", Encoding.UTF8, "application/json")).Result.Content.ReadAsStringAsync();

     // parse result
     var followUpCheckResult = JsonConvert.DeserializeObject<FollowUpCheckResult>(checkFollowUpJsonResponse);

     // initialize reply message containing the default answer
     var reply = MessageFactory.Text(response[0].Answer);

     if (followUpCheckResult.Answers.Length > 0 && followUpCheckResult.Answers[0].Context.Prompts.Length > 0)
     {
         // if follow-up check contains valid answer and at least one prompt, add prompt text to SuggestedActions using CardAction one by one
         reply.SuggestedActions = new SuggestedActions();
         reply.SuggestedActions.Actions = new List<CardAction>();
         for (int i = 0; i < followUpCheckResult.Answers[0].Context.Prompts.Length; i++)
         {
             var promptText = followUpCheckResult.Answers[0].Context.Prompts[i].DisplayText;
             reply.SuggestedActions.Actions.Add(new CardAction() { Title = promptText, Type = ActionTypes.ImBack, Value = promptText });
         }
     }
     await turnContext.SendActivityAsync(reply, cancellationToken);
 }
 else
 {
     await turnContext.SendActivityAsync(MessageFactory.Text("No QnA Maker answers were found."), cancellationToken);
 }

1. 在仿真器中测试它，它现在应该按照预期显示后续提示。

备注：

确保创建IConfiguration _configuration属性，将IConfiguration配置传递给构造函数，并使用适当的QnAKnowledgebaseId和QnAAuthKey更新appsettings.json。

如果您使用一个Bot示例作为起点，请注意，QnAAuthKey在appsettings.json中可能会被命名为QnAEndpointKey。

您还需要一个GetHostName()函数，或者将其替换为用于机器人qna主机名的url。