Steven Kanberg 发布的 C# .NET Core 示例是一个很好的资源。如果你喜欢教程风格指南,这个可能会有所帮助:https://www.joji.me/en-us/blog/implement-follow-up-prompt-for-qna-bot/。
这里列出的步骤是:
- 编辑您的 Bots\YourBotName.cs,添加以下我们将用于支持后续提示的命名空间:
using Newtonsoft.Json;
using System.Collections.Generic;
using System.Text;
- 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;
}
}
- qnaMaker.GetAnswersAsync 成功并有有效答案后,执行额外的 HTTP 查询检查后续提示:
// 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);
}
- 在 Bot Framework Emulator 中进行测试,现在应该会按预期显示后续提示。
注意事项:
请务必创建IConfiguration _configuration 属性,将 IConfiguration 配置传递给您的构造函数,并使用适当的 QnAKnowledgebaseId 和 QnAAuthKey 更新您的 appsettings.json。
如果您使用其中一个 Bot 示例作为起点,请注意 appsettings.json 中的 QnAAuthKey 可能会被命名为 QnAEndpointKey。
您还需要一个 GetHostName() 函数,或者只需将其替换为您的机器人 qna 主机名的 url。