/// <summary>
/// Initializes a new instance of the class.
/// </summary>
/// <param name="conversationState">The managed conversation state.</param>
/// <param name="loggerFactory">A <see cref="ILoggerFactory"/> that is hooked to the Azure App Service provider.</param>
/// <seealso cref="https://docs.microsoft.com/en-us/aspnet/core/fundamentals/logging/?view=aspnetcore-2.1#windows-eventlog-provider"/>
// public dialogBotBot(ConversationState conversationState, ILoggerFactory loggerFactory)
public dialogBotBot(dialogBotAccessors accessors, LuisRecognizer luis, QnAMaker qna)
{
Console.WriteLine("Bot constructor");
// Set the _accessors
_accessors = accessors ?? throw new ArgumentNullException(nameof(accessors));
// The DialogSet needs a DialogState accessor, it will call it when it has a turn context.
_dialogs = new DialogSet(accessors.ConversationDialogState);
// This array defines how the Waterfall will execute.
var waterfallSteps = new WaterfallStep[]
{
NameStepAsync,
NameConfirmStepAsync,
};
// The incoming luis variable is the LUIS Recognizer we added above.
this.Recognizer = luis ?? throw new System.ArgumentNullException(nameof(luis));
// The incoming QnA variable is the QnAMaker we added above.
this.QnA = qna ?? throw new System.ArgumentNullException(nameof(qna));
// Add named dialogs to the DialogSet. These names are saved in the dialog state.
_dialogs.Add(new WaterfallDialog("details", waterfallSteps));
_dialogs.Add(new TextPrompt("name"));
}
/// <summary>
/// This method gets called by the runtime. Use this method to add services to the container.
/// </summary>
/// <param name="services">The <see cref="IServiceCollection"/> specifies the contract for a collection of service descriptors.</param>
/// <seealso cref="IStatePropertyAccessor{T}"/>
/// <seealso cref="https://docs.microsoft.com/en-us/aspnet/web-api/overview/advanced/dependency-injection"/>
/// <seealso cref="https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0"/>
public void ConfigureServices(IServiceCollection services)
{
var secretKey = Configuration.GetSection("botFileSecret")?.Value;
var botFilePath = Configuration.GetSection("botFilePath")?.Value;
if (!File.Exists(botFilePath))
{
throw new FileNotFoundException($"The .bot configuration file was not found. botFilePath: {botFilePath}");
}
// Loads .bot configuration file and adds a singleton that your Bot can access through dependency injection.
BotConfiguration botConfig = null;
try
{
botConfig = BotConfiguration.Load(botFilePath, secretKey);
}
catch
{
var msg = @"Error reading bot file. Please ensure you have valid botFilePath and botFileSecret set for your environment.
- You can find the botFilePath and botFileSecret in the Azure App Service application settings.
- If you are running this bot locally, consider adding a appsettings.json file with botFilePath and botFileSecret.
- See https://aka.ms/about-bot-file to learn more about .bot file its use and bot configuration.
";
throw new InvalidOperationException(msg);
}
services.AddSingleton(sp => botConfig ?? throw new InvalidOperationException($"The .bot configuration file could not be loaded. botFilePath: {botFilePath}"));
// Retrieve current endpoint.
var environment = _isProduction ? "production" : "development";
var service = botConfig.Services.FirstOrDefault(s => s.Type == "endpoint" && s.Name == environment);
if (service == null && _isProduction)
{
// Attempt to load development environment
service = botConfig.Services.Where(s => s.Type == "endpoint" && s.Name == "development").FirstOrDefault();
}
if (!(service is EndpointService endpointService))
{
throw new InvalidOperationException($"The .bot file does not contain an endpoint with name '{environment}'.");
}
// Memory Storage is for local bot debugging only. When the bot is restarted, everything stored in memory will be gone.
IStorage dataStore = new MemoryStorage();
// For production bots use the Azure Blob or
// Azure CosmosDB storage providers. For the Azure
// based storage providers, add the Microsoft.Bot.Builder.Azure
// Nuget package to your solution. That package is found at:
// https://www.nuget.org/packages/Microsoft.Bot.Builder.Azure/
// Un-comment the following lines to use Azure Blob Storage
// // Storage configuration name or ID from the .bot file.
// const string StorageConfigurationId = "<STORAGE-NAME-OR-ID-FROM-BOT-FILE>";
// var blobConfig = botConfig.FindServiceByNameOrId(StorageConfigurationId);
// if (!(blobConfig is BlobStorageService blobStorageConfig))
// {
// throw new InvalidOperationException($"The .bot file does not contain an blob storage with name '{StorageConfigurationId}'.");
// }
// // Default container name.
// const string DefaultBotContainer = "<DEFAULT-CONTAINER>";
// var storageContainer = string.IsNullOrWhiteSpace(blobStorageConfig.Container) ? DefaultBotContainer : blobStorageConfig.Container;
// IStorage dataStore = new Microsoft.Bot.Builder.Azure.AzureBlobStorage(blobStorageConfig.ConnectionString, storageContainer);
services.AddBot <dialogBotBot>(options =>
{
options.CredentialProvider = new ConfigurationCredentialProvider(Configuration);
//options.CredentialProvider = new SimpleCredentialProvider(endpointService.AppId, endpointService.AppPassword);
// Catches any errors that occur during a conversation turn and logs them to currently
// configured ILogger.
ILogger logger = _loggerFactory.CreateLogger <dialogBotBot>();
options.OnTurnError = async(context, exception) =>
{
logger.LogError($"Exception caught : {exception}");
await context.SendActivityAsync("Sorry, it looks like something went wrong.");
};
//Add middleware
options.Middleware.Add(new Middleware());
// Create and add conversation state.
var conversationState = new ConversationState(dataStore);
options.State.Add(conversationState);
// Create and add user state.
var userState = new UserState(dataStore);
options.State.Add(userState);
});
services.AddSingleton <dialogBotAccessors>(sp =>
{
var options = sp.GetRequiredService <IOptions <BotFrameworkOptions> >().Value;
// Create the custom state accessor.
// State accessors enable other components to read and write individual properties of state.
//var userState = options.State.OfType<UserState>().FirstOrDefault();
var conversationState = options.State.OfType <ConversationState>().FirstOrDefault();
if (conversationState == null)
{
throw new InvalidOperationException("ConversationState must be defined and added before adding conversation-scoped state accessors.");
}
var userState = options.State.OfType <UserState>().FirstOrDefault();
if (userState == null)
{
throw new InvalidOperationException("UserState must be defined and added before adding user-scoped state accessors.");
}
var accessors = new dialogBotAccessors(conversationState, userState)
{
CounterState = conversationState.CreateProperty <CounterState>(dialogBotAccessors.CounterStateName),
ConversationDialogState = conversationState.CreateProperty <DialogState>("DialogState"),
UserProfile = userState.CreateProperty <UserProfile>("UserProfile"),
};
return(accessors);
});
// Create and register a LUIS recognizer.
services.AddSingleton(sp =>
{
// Set up Luis
var luisApp = new LuisApplication(
applicationId: "8d5bf38e-108c-47f3-a03f-84c4da0aa8c9",
endpointKey: "7f267a067ce249639d74e9c23c9b3f7e",
endpoint: "https://westus.api.cognitive.microsoft.com/luis/v2.0/apps/8d5bf38e-108c-47f3-a03f-84c4da0aa8c9?verbose=true&timezoneOffset=-360&subscription-key=7f267a067ce249639d74e9c23c9b3f7e&q=");
// Specify LUIS options. These may vary for your bot.
var luisPredictionOptions = new LuisPredictionOptions
{
IncludeAllIntents = true,
};
return(new LuisRecognizer(
application: luisApp,
predictionOptions: luisPredictionOptions,
includeApiResults: true));
});
// Create and register a QnA service and knowledgebase
services.AddSingleton(sp =>
{
var hostPath = "https://pedroqna.azurewebsites.net/qnamaker";
var endpointKey = "647d6f22-f64f-4732-a87f-ee7c48a2b1f7";
var knowledgebaseId = "7e7af984-c985-4211-8ed2-923fed042f9f";
var qnaOptions = float.TryParse("0.4F", out float scoreThreshold)
? new QnAMakerOptions
{
ScoreThreshold = scoreThreshold,
Top = 1
} : null;
return(new QnAMaker(
new QnAMakerEndpoint
{
EndpointKey = endpointKey,
Host = hostPath,
KnowledgeBaseId = knowledgebaseId,
},
qnaOptions));
});
}