在 Azure 聊天机器人框架中使用聊天机器人响应作为触发词

Question

我正在使用 Azure 中的机器人框架开发一个聊天机器人，我目前正在尝试使用我的聊天机器人响应作为用户触发词来将用户问题存储在 table 存储中，例如当bot 响应 "I’m Sorry, I don’t have an answer for you. Please try and rephrase your question" 它记录用户的第一个问题，例如 "How do I fly?".

如有任何帮助，我们将不胜感激！

Answer 1

这是实现此目的的一种方法。您可以将每个问题文本存储在 Dictionary 中，如果未正确回答查询，则将其发送到永久存储器。

首先，创建一个静态字典来保存值：

public static class Utils
{
    public static Dictionary<string, string> MessageDictionary = new Dictionary<string, string>();
}

其次，在您的消息控制器中，当您的机器人收到每个用户的消息时，您可以像这样存储它：

    public async Task<HttpResponseMessage> Post([FromBody] Activity activity)
    {
        if (activity.Type == ActivityTypes.Message)
        {
            var userId = activity.From.Id;
            var message = activity.Text;
            if (!Utils.MessageDictionary.ContainsKey(userId))
            {
                ConnectorClient connector = new ConnectorClient(new System.Uri(activity.ServiceUrl));
                var reply = activity.CreateReply();

                //save all incoming messages to a dictionary
                Utils.MessageDictionary.Add(userId, message);

                // this can be removed it just confirms it was saved
                reply.Text = $"Message saved {userId} - {Utils.MessageDictionary[userId]}";
                await connector.Conversations.ReplyToActivityAsync(reply);
            }
            await Conversation.SendAsync(activity, () => new Dialogs.RootDialog());
        }

        else
        {
            HandleSystemMessage(activity);
        }

        var response = Request.CreateResponse(HttpStatusCode.OK);
        return response;
    }

Nest 创建一个继承自 IBotToUser 的 class，它可以在消息发送给用户之前拦截消息。如果返回给用户的文本是您提供的文本，我们将在此处将消息保存到永久存储中 "I’m Sorry, I don’t have an answer for you. Please try and rephrase your question":

public sealed class CustomBotToUser : IBotToUser
{
    private readonly IBotToUser inner;
    private readonly IConnectorClient client;

    public CustomBotToUser(IBotToUser inner, IConnectorClient client)
    {
        SetField.NotNull(out this.inner, nameof(inner), inner);
        SetField.NotNull(out this.client, nameof(client), client);
    }


    public async Task PostAsync(IMessageActivity message,
        CancellationToken cancellationToken = default(CancellationToken))
    {
        if (message.Text == "I’m Sorry, I don’t have an answer for you. Please try and rephrase your question")
        {
            //save to permanant storage here
            //if you would like to use a database
            //I have a very simple database bot example here
            //https://github.com/JasonSowers/DatabaseBotExample
        }

        //user is the recipient
        var userId = message.Recipient.Id;

        //remove entry from dictionary
        Utils.MessageDictionary.Remove(userId);

        //this is just for testing purposes and can be removed
        try
        {
            await inner.PostAsync($"{userId} - {Utils.MessageDictionary[userId]}");
        }
        catch (Exception e)
        {
            await inner.PostAsync($"No entry found for {userId}");
        }
        await inner.PostAsync((Activity) message, cancellationToken);
    }

    public IMessageActivity MakeMessage()
    {
        return inner.MakeMessage();
    }
}

您还需要使用 Autofac 在 Global.asax 中注册此 class，使 Aplication_Start() 方法看起来像这样：

    protected void Application_Start()
    {
        GlobalConfiguration.Configure(WebApiConfig.Register);

        Conversation.UpdateContainer(
        builder =>
        {
            builder.RegisterModule(new AzureModule(Assembly.GetExecutingAssembly()));

            // Bot Storage: Here we register the state storage for your bot. 
            // Default store: volatile in-memory store - Only for prototyping!
            // We provide adapters for Azure Table, CosmosDb, SQL Azure, or you can implement your own!
            // For samples and documentation, see: [https://github.com/Microsoft/BotBuilder-Azure](https://github.com/Microsoft/BotBuilder-Azure)
            var store = new InMemoryDataStore();

            // Other storage options
            // var store = new TableBotDataStore("...DataStorageConnectionString..."); // requires Microsoft.BotBuilder.Azure Nuget package 
            // var store = new DocumentDbBotDataStore("cosmos db uri", "cosmos db key"); // requires Microsoft.BotBuilder.Azure Nuget package 

            builder.Register(c => store)
                .Keyed<IBotDataStore<BotData>>(AzureModule.Key_DataStore)
                .AsSelf()
                .SingleInstance();

            builder
                .RegisterType<CustomBotToUser>()
                .Keyed<IBotToUser>(typeof(LogBotToUser));
        });
    }

这是我分享的 Global.asax 代码的重要部分：

        builder
            .RegisterType<CustomBotToUser>()
            .Keyed<IBotToUser>(typeof(LogBotToUser));

在 Azure 聊天机器人框架中使用聊天机器人响应作为触发词

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