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！
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跟版网！