来自 WaterfallStep Dialog MS Bot 框架 v4 的自适应卡片响应

Adaptive Card response from a WaterfallStep Dialog MS Bot framework v4(来自 WaterfallStep Dialog MS Bot 框架 v4 的自适应卡片响应)

问题描述

我正在尝试发送具有 2 个选项供用户选择的自适应卡.当用户提交来自我收到的自适应卡的响应时:

I am trying to send an adaptive card which has 2 options for user to select. When user submit the response from adaptive card I am receiving :

Newtonsoft.Json.JsonReaderException: Error reading JArray from JsonReader. Current JsonReader item is not an array: StartObject. Path ‘[‘BotAccessors.DialogState’].DialogStack.$values[0].State.options.Prompt.attachments.$values[0].content.body’.

完整代码示例链接:使用对话框管理复杂的对话流

在 HotelDialogs.cs 中进行的修改:-

Modification made in HotelDialogs.cs:-

public static async Task<DialogTurnResult> PresentMenuAsync(
                WaterfallStepContext stepContext,
                CancellationToken cancellationToken)
            {
                // Greet the guest and ask them to choose an option.
                await stepContext.Context.SendActivityAsync(
                    "Welcome to Contoso Hotel and Resort.",
                    cancellationToken: cancellationToken);
                //return await stepContext.PromptAsync(
                //    Inputs.Choice,
                //    new PromptOptions
                //    {
                //        Prompt = MessageFactory.Text("How may we serve you today?"),
                //        RetryPrompt = Lists.WelcomeReprompt,
                //        Choices = Lists.WelcomeChoices,
                //    },
                //    cancellationToken);

                var reply = stepContext.Context.Activity.CreateReply();
                reply.Attachments = new List<Attachment>
                {
                    new Attachment
                    {
                        Content = GetAnswerWithFeedbackSelectorCard("Choose: "),
                        ContentType = AdaptiveCard.ContentType,
                    },
                };
                return await stepContext.PromptAsync(
                    "testPrompt",
                    new PromptOptions
                    {
                        Prompt = reply,
                        RetryPrompt = Lists.WelcomeReprompt,
                    },
                    cancellationToken).ConfigureAwait(true);
            }

注意:["testPrompt"] 我尝试使用 Text Prompt 并稍微自定义 TextPrompt 以读取活动值.如果文本提示不是自适应卡片响应的适当提示，请告诉我是否有其他可以使用的提示，或者一些自定义提示将有助于这种情况.

自定义提示:-

using System;
using System.Collections.Generic;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Bot.Builder;
using Microsoft.Bot.Builder.Dialogs;
using Microsoft.Bot.Schema;

namespace HotelBot
{
    public class CustomPrompt : Prompt<string>
    {
        public CustomPrompt(string dialogId, PromptValidator<string> validator = null)
            : base(dialogId, validator)
        {
        }

        protected async override Task OnPromptAsync(ITurnContext turnContext, IDictionary<string, object> state, PromptOptions options, bool isRetry, CancellationToken cancellationToken = default(CancellationToken))
        {
            if (turnContext == null)
            {
                throw new ArgumentNullException(nameof(turnContext));
            }

            if (options == null)
            {
                throw new ArgumentNullException(nameof(options));
            }

            if (isRetry && options.RetryPrompt != null)
            {
                await turnContext.SendActivityAsync(options.RetryPrompt, cancellationToken).ConfigureAwait(false);
            }
            else if (options.Prompt != null)
            {
                await turnContext.SendActivityAsync(options.Prompt, cancellationToken).ConfigureAwait(false);
            }
        }

        protected override Task<PromptRecognizerResult<string>> OnRecognizeAsync(ITurnContext turnContext, IDictionary<string, object> state, PromptOptions options, CancellationToken cancellationToken = default(CancellationToken))
        {
            if (turnContext == null)
            {
                throw new ArgumentNullException(nameof(turnContext));
            }

            var result = new PromptRecognizerResult<string>();
            if (turnContext.Activity.Type == ActivityTypes.Message)
            {
                var message = turnContext.Activity.AsMessageActivity();
                if (!string.IsNullOrEmpty(message.Text))
                {
                    result.Succeeded = true;
                    result.Value = message.Text;
                }
                else if (message.Value != null)
                {
                    result.Succeeded = true;
                    result.Value = message.Value.ToString();
                }
            }

            return Task.FromResult(result);
        }
    }
}

制卡方法:-

private static AdaptiveCard GetAnswerWithFeedbackSelectorCard(string answer)
        {
            if (answer == null)
            {
                return null;
            }

            AdaptiveCard card = new AdaptiveCard();
            card.Body = new List<AdaptiveElement>();
            var choices = new List<AdaptiveChoice>()
            {
                new AdaptiveChoice()
                {
                    Title = "Reserve Table",
                    Value = "1",
                },
                new AdaptiveChoice()
                {
                    Title = "Order food",
                    Value = "0",
                },
            };
            var choiceSet = new AdaptiveChoiceSetInput()
            {
                IsMultiSelect = false,
                Choices = choices,
                Style = AdaptiveChoiceInputStyle.Expanded,
                Value = "1",
                Id = "Feedback",
            };
            var text = new AdaptiveTextBlock()
            {
                Text = answer,
                Wrap = true,
            };
            card.Body.Add(text);
            card.Body.Add(choiceSet);
            card.Actions.Add(new AdaptiveSubmitAction() { Title = "Submit" });
            return card;
        }

谢谢！

推荐答案

在挖掘了一些前进的道路后，我遇到了:

After digging for some way forward I came across:

问题#614

因此，为了使 Dialog 中的自适应卡片响应工作，我在 Prompt.cs 和 TextPrompt.cs 来自 Microsoft bot 框架.

Thus to make adaptive card response work from Dialog, I made a compatible adaptive card prompt by one modification each in Prompt.cs and TextPrompt.cs from Microsoft bot framework.

Prompt.cs => Prompt2.cs ;TextPrompt.cs => CustomPrompt.cs

Prompt.cs => Prompt2.cs ; TextPrompt.cs => CustomPrompt.cs

Prompt2.cs:

Prompt2.cs :

using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Bot.Builder.Dialogs.Choices;
using Microsoft.Bot.Schema;
using Newtonsoft.Json;

namespace Microsoft.Bot.Builder.Dialogs
{
    //Reference: Prompt.cs
    /// <summary>
    /// Basic configuration options supported by all prompts.
    /// </summary>
    /// <typeparam name="T">The type of the <see cref="Prompt{T}"/>.</typeparam>
    public abstract class Prompt2<T> : Dialog
    {
        private const string PersistedOptions = "options";
        private const string PersistedState = "state";

        private readonly PromptValidator<T> _validator;

        public Prompt2(string dialogId, PromptValidator<T> validator = null)
            : base(dialogId)
        {
            _validator = validator;
        }

        public override async Task<DialogTurnResult> BeginDialogAsync(DialogContext dc, object options, CancellationToken cancellationToken = default(CancellationToken))
        {
            if (dc == null)
            {
                throw new ArgumentNullException(nameof(dc));
            }

            if (!(options is PromptOptions))
            {
                throw new ArgumentOutOfRangeException(nameof(options), "Prompt options are required for Prompt dialogs");
            }

            // Ensure prompts have input hint set
            var opt = (PromptOptions)options;
            if (opt.Prompt != null && string.IsNullOrEmpty(opt.Prompt.InputHint))
            {
                opt.Prompt.InputHint = InputHints.ExpectingInput;
            }

            if (opt.RetryPrompt != null && string.IsNullOrEmpty(opt.RetryPrompt.InputHint))
            {
                opt.RetryPrompt.InputHint = InputHints.ExpectingInput;
            }

            // Initialize prompt state
            var state = dc.ActiveDialog.State;
            state[PersistedOptions] = opt;
            state[PersistedState] = new Dictionary<string, object>();

            // Send initial prompt
            await OnPromptAsync(dc.Context, (IDictionary<string, object>)state[PersistedState], (PromptOptions)state[PersistedOptions], false, cancellationToken).ConfigureAwait(false);

            // Customization starts here for AdaptiveCard Response:
            /* Reason for removing the adaptive card attachments after prompting it to user,
             * from the stat as there is no implicit support for adaptive card attachments.
             * keeping the attachment will cause an exception : Newtonsoft.Json.JsonReaderException: Error reading JArray from JsonReader. Current JsonReader item is not an array: StartObject. Path ‘[‘BotAccessors.DialogState’].DialogStack.$values[0].State.options.Prompt.attachments.$values[0].content.body’.
             */
            var option = state[PersistedOptions] as PromptOptions;
            option.Prompt.Attachments = null;
            /* Customization ends here */

            return Dialog.EndOfTurn;
        }

        public override async Task<DialogTurnResult> ContinueDialogAsync(DialogContext dc, CancellationToken cancellationToken = default(CancellationToken))
        {
            if (dc == null)
            {
                throw new ArgumentNullException(nameof(dc));
            }

            // Don't do anything for non-message activities
            if (dc.Context.Activity.Type != ActivityTypes.Message)
            {
                return Dialog.EndOfTurn;
            }

            // Perform base recognition
            var instance = dc.ActiveDialog;
            var state = (IDictionary<string, object>)instance.State[PersistedState];
            var options = (PromptOptions)instance.State[PersistedOptions];

            var recognized = await OnRecognizeAsync(dc.Context, state, options, cancellationToken).ConfigureAwait(false);

            // Validate the return value
            var isValid = false;
            if (_validator != null)
            {
            }
            else if (recognized.Succeeded)
            {
                isValid = true;
            }

            // Return recognized value or re-prompt
            if (isValid)
            {
                return await dc.EndDialogAsync(recognized.Value).ConfigureAwait(false);
            }
            else
            {
                if (!dc.Context.Responded)
                {
                    await OnPromptAsync(dc.Context, state, options, true).ConfigureAwait(false);
                }

                return Dialog.EndOfTurn;
            }
        }

        public override async Task<DialogTurnResult> ResumeDialogAsync(DialogContext dc, DialogReason reason, object result = null, CancellationToken cancellationToken = default(CancellationToken))
        {
            // Prompts are typically leaf nodes on the stack but the dev is free to push other dialogs
            // on top of the stack which will result in the prompt receiving an unexpected call to
            // dialogResume() when the pushed on dialog ends.
            // To avoid the prompt prematurely ending we need to implement this method and
            // simply re-prompt the user.
            await RepromptDialogAsync(dc.Context, dc.ActiveDialog).ConfigureAwait(false);
            return Dialog.EndOfTurn;
        }

        public override async Task RepromptDialogAsync(ITurnContext turnContext, DialogInstance instance, CancellationToken cancellationToken = default(CancellationToken))
        {
            var state = (IDictionary<string, object>)instance.State[PersistedState];
            var options = (PromptOptions)instance.State[PersistedOptions];
            await OnPromptAsync(turnContext, state, options, false).ConfigureAwait(false);
        }

        protected abstract Task OnPromptAsync(ITurnContext turnContext, IDictionary<string, object> state, PromptOptions options, bool isRetry, CancellationToken cancellationToken = default(CancellationToken));

        protected abstract Task<PromptRecognizerResult<T>> OnRecognizeAsync(ITurnContext turnContext, IDictionary<string, object> state, PromptOptions options, CancellationToken cancellationToken = default(CancellationToken));

        protected IMessageActivity AppendChoices(IMessageActivity prompt, string channelId, IList<Choice> choices, ListStyle style, ChoiceFactoryOptions options = null, CancellationToken cancellationToken = default(CancellationToken))
        {
            // Get base prompt text (if any)
            var text = prompt != null && !string.IsNullOrEmpty(prompt.Text) ? prompt.Text : string.Empty;

            // Create temporary msg
            IMessageActivity msg;
            switch (style)
            {
                case ListStyle.Inline:
                    msg = ChoiceFactory.Inline(choices, text, null, options);
                    break;

                case ListStyle.List:
                    msg = ChoiceFactory.List(choices, text, null, options);
                    break;

                case ListStyle.SuggestedAction:
                    msg = ChoiceFactory.SuggestedAction(choices, text);
                    break;

                case ListStyle.None:
                    msg = Activity.CreateMessageActivity();
                    msg.Text = text;
                    break;

                default:
                    msg = ChoiceFactory.ForChannel(channelId, choices, text, null, options);
                    break;
            }

            // Update prompt with text and actions
            if (prompt != null)
            {
                // clone the prompt the set in the options (note ActivityEx has Properties so this is the safest mechanism)
                prompt = JsonConvert.DeserializeObject<Activity>(JsonConvert.SerializeObject(prompt));

                prompt.Text = msg.Text;
                if (msg.SuggestedActions != null && msg.SuggestedActions.Actions != null && msg.SuggestedActions.Actions.Count > 0)
                {
                    prompt.SuggestedActions = msg.SuggestedActions;
                }

                return prompt;
            }
            else
            {
                msg.InputHint = InputHints.ExpectingInput;
                return msg;
            }
        }
    }
}

CustomPrompt.cs:

CustomPrompt.cs :

using System;
using System.Collections.Generic;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Bot.Builder;
using Microsoft.Bot.Builder.Dialogs;
using Microsoft.Bot.Schema;

namespace HotelBot
{
    //Reference: TextPrompt.cs
    public class CustomPrompt : Prompt2<string>
    {
        public CustomPrompt(string dialogId, PromptValidator<string> validator = null)
            : base(dialogId, validator)
        {
        }

        protected async override Task OnPromptAsync(ITurnContext turnContext, IDictionary<string, object> state, PromptOptions options, bool isRetry, CancellationToken cancellationToken = default(CancellationToken))
        {
            if (turnContext == null)
            {
                throw new ArgumentNullException(nameof(turnContext));
            }

            if (options == null)
            {
                throw new ArgumentNullException(nameof(options));
            }

            if (isRetry && options.RetryPrompt != null)
            {
                await turnContext.SendActivityAsync(options.RetryPrompt, cancellationToken).ConfigureAwait(false);
            }
            else if (options.Prompt != null)
            {
                await turnContext.SendActivityAsync(options.Prompt, cancellationToken).ConfigureAwait(false);
            }
        }

        protected override Task<PromptRecognizerResult<string>> OnRecognizeAsync(ITurnContext turnContext, IDictionary<string, object> state, PromptOptions options, CancellationToken cancellationToken = default(CancellationToken))
        {
            if (turnContext == null)
            {
                throw new ArgumentNullException(nameof(turnContext));
            }

            var result = new PromptRecognizerResult<string>();
            if (turnContext.Activity.Type == ActivityTypes.Message)
            {
                var message = turnContext.Activity.AsMessageActivity();
                if (!string.IsNullOrEmpty(message.Text))
                {
                    result.Succeeded = true;
                    result.Value = message.Text;
                }
                /*Add handling for Value from adaptive card*/
                else if (message.Value != null)
                {
                    result.Succeeded = true;
                    result.Value = message.Value.ToString();
                }
            }

            return Task.FromResult(result);
        }
    }
}

因此，在 V4 botframework 中对话的自适应卡片提示正式发布之前，解决方法是使用此自定义提示.

Thus workaround until official release of Adaptive Card Prompt for dialog in V4 botframework, is to use this custom prompt.

用法:(仅用于发送具有提交操作的自适应卡片)

Usage: (Only for sending adaptive cards which have submit actions)

参考问题部分的例子:

Add(new CustomPrompt("testPrompt"));

自适应卡片提交操作的响应将在下一个瀑布步骤中收到:ProcessInputAsync()

The response for the adaptive card submit action will be received in the next waterfall step : ProcessInputAsync()

var choice = (string)stepContext.Result;

选择将是自适应卡片发布的正文的 JSON 字符串.

choice will be JSON string of the body posted by the adaptive card.

这篇关于来自 WaterfallStep Dialog MS Bot 框架 v4 的自适应卡片响应的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持编程学习网！