【发布时间】：2020-03-22 06:33:15
【问题描述】：
我有一个虚拟助理调度，它将控制权交给使用 QnA maker 的知识库技能。我最终将拥有几个 QnA 知识库，但现在，我遇到了第一个工作的问题。我已经创建/编辑、训练和发布/发布了 QnA 创客知识库、知识库技能 Luis 模型和虚拟助手的调度模型。
当我的知识库技能的 Luis 模型返回意图时，成功分发技能后会生成异常。我有一个 switch 语句，最终将指向与用户问题对应的知识库。
text: "Exception Message: Could not convert string 'helpdesk_faq' to dictionary key type
'Luis.KnowledgeBaseSkillLuis+Intent'. Create a TypeConverter to convert
from the string to the key type object.
我用新意图的名称更新了我的KnowledgeBaseSkillLuis.cs 意图枚举（如下所示），但我想知道我是否不需要这样做。我注意到我的 KnowledgeBaseSkill.luis 和 Faq.qna 文件没有更新的更改；这引出了我的问题-
如何将更新的模型拉入我的本地环境？我是否需要运行 botskills 或 dispatch 命令来将新发布的意图拉入代码中，或者我是否正确地使用我的新技能手动更新意图枚举？我是否需要将助手和/或技能从本地计算机重新发布到 Azure 以获取它们？
我已经阅读了这些文章，但我很难利用它们：
// Full file included lower in the post
public enum Intent
{
Sample,
q_Faq,
helpdesk_faq, // Newly created intent (others were auto generated with Deploy scripts provided in skill template
None
};
MainDialog.cs:
...
switch (intent)
{
case KnowledgeBaseSkillLuis.Intent.Sample:
{
await innerDc.BeginDialogAsync(_sampleDialog.Id);
break;
}
case KnowledgeBaseSkillLuis.Intent.helpdesk_faq:
{
cognitiveModels.QnAServices.TryGetValue("Faq", out var qnaService); // "Faq" is the name of the QnA maker knowledge base.
if (qnaService == null)
{
await innerDc.Context.SendActivityAsync("I'm having issues looking up the information for you.");
throw new Exception("QnA Maker Service could not be found in the Bot Services Configuration.");
}
else
{
var answers = await qnaService.GetAnswersAsync(innerDc.Context, null, null);
if (answers != null && answers.Count() > 0)
{
await innerDc.Context.SendActivityAsync(answers[0].Answer);
}
else
{
await innerDc.Context.SendActivityAsync(_templateEngine.GenerateActivityForLocale("ConfusedMessage"));
}
}
break;
}
case KnowledgeBaseSkillLuis.Intent.None:
default:
{
// intent was identified but not yet implemented
await innerDc.Context.SendActivityAsync(_templateEngine.GenerateActivityForLocale("UnsupportedMessage"));
break;
}
}
...
KnowledgeBaseSkillLuis.cs：
public class KnowledgeBaseSkillLuis : IRecognizerConvert
{
public string Text;
public string AlteredText;
public enum Intent
{
Sample,
q_Faq,
helpdesk_faq,
None
};
public Dictionary<Intent, IntentScore> Intents;
public class _Entities
{
// Instance
public class _Instance
{
}
[JsonProperty("$instance")]
public _Instance _instance;
}
public _Entities Entities;
[JsonExtensionData(ReadData = true, WriteData = true)]
public IDictionary<string, object> Properties { get; set; }
public void Convert(dynamic result)
{
var app = JsonConvert.DeserializeObject<KnowledgeBaseSkillLuis>(JsonConvert.SerializeObject(result));
Text = app.Text;
AlteredText = app.AlteredText;
Intents = app.Intents;
Entities = app.Entities;
Properties = app.Properties;
}
public (Intent intent, double score) TopIntent()
{
Intent maxIntent = Intent.None;
var max = 0.0;
foreach (var entry in Intents)
{
if (entry.Value.Score > max)
{
maxIntent = entry.Key;
max = entry.Value.Score.Value;
}
}
return (maxIntent, max);
}
}
【问题讨论】：
标签： botframework azure-language-understanding qnamaker