private static void Main()
{
var bot = new OscovaBot();
bot.Dialogs.Add(new TestDialog());
bot.Trainer.StartTraining();
var botServer = new WebApiChannel <OscovaBot>(bot, "http://localhost:8086/bot");
//In case the server generates a log, write it to console.
botServer.Logger.LogReceived += (sender, eventArgs) =>
{
Console.WriteLine(eventArgs.Log);
};
botServer.Start();
//Once the server is started you can call API url using the below format.
//http://localhost:8086/bot?userid={USER-ID}&query={USER-MESSAGE}
//Example: http://localhost:8086/bot?userid=12345&query=test
Console.WriteLine($"Bot Server is online at '{botServer.Url}'. Press any key to stop server.");
Console.ReadLine();
botServer.Stop();
}
// Start is called before the first frame update
void Start()
{
try
{
//Create new instance of bot.
MainBot = new OscovaBot();
OscovaBot.Logger.LogReceived += (s, o) =>
{
Debug.Log($"OscovaBot: {o.Log}");
};
//Train on simple dialog.
MainBot.Dialogs.Add(new StartDialog());
//Import bot's knowledge-base from a Workspace project file.
//To read the content of this file ensure you've got Oryzer installed. Visit Oryzer.com
//UNCHECK THE LINE BELOW TO IMPORT A PIZZA BOT DEMO.
// MainBot.ImportWorkspace("Assets/pizza-bot.west");
MainBot.Trainer.StartTraining();
//When the bot generates a response simply display it.
MainBot.MainUser.ResponseReceived += (sender, evt) =>
{
AddMessage($"Bot: {evt.Response.Text}", MessageType.Bot);
};
}
catch (Exception ex)
{
Debug.LogError(ex);
}
}
static void Main(string[] args)
{
var lblnSair = false;
while (!lblnSair)
{
var bot = new OscovaBot();
bot.Dialogs.Add(new ChatBotDialog());
bot.Trainer.StartTraining();
bot.MainUser.ResponseReceived += (sender, eventArgs) =>
{
Console.WriteLine($"Panelinha: {eventArgs.Response.Text}");
};
Console.Write("Usuário: ");
var message = Console.ReadLine();
var result = bot.Evaluate(message);
result.Invoke();
if (message.Equals("sair"))
{
lblnSair = true;
}
}
}
private static void Main(string[] args)
{
var bot = new OscovaBot();
// License is required, see https://developer.syn.co.in/tutorial/bot/activate-license.html
//bot.Configuration.ProcessingMode = ProcessingMode.Deep;
Console.WriteLine("Loading WordNet");
LoadWordNet(bot);
Console.WriteLine("Loading word vectors");
LoadWordVectors(bot);
Console.WriteLine("Adding dialogs");
bot.Dialogs.Add(new HelloBotDialog());
bot.Dialogs.Add(new AppDialog());
//bot.Dialogs.Add(new MyDialog());
Console.WriteLine("Training the model");
bot.Trainer.StartTraining();
Console.WriteLine("Ready!");
bot.MainUser.ResponseReceived += (sender, eventArgs) =>
{
Console.WriteLine(eventArgs.Response.Text);
};
while (true)
{
var request = Console.ReadLine();
var evaluationResult = bot.Evaluate(request);
evaluationResult.Invoke();
}
}
protected override void OnCreate(Bundle bundle)
{
base.OnCreate(bundle);
// Set our view from the "main" layout resource
SetContentView(Resource.Layout.Main);
var bot = new OscovaBot();
bot.Dialogs.Add(new HelloBotDialog());
bot.Trainer.StartTraining();
// Get our button from the layout resource,
// and attach an event to it
Button button = FindViewById <Button>(Resource.Id.MyButton);
var input = FindViewById <EditText>(Resource.Id.editText1);
var output = FindViewById <EditText>(Resource.Id.editText2);
bot.MainUser.ResponseReceived += (sender, args) =>
{
output.Text = $"Bot: {args.Response.Text}";
};
button.Click += delegate {
var result = bot.Evaluate(input.Text);
result.Invoke();
};
}
// Start is called before the first frame update
void Start()
{
try
{
MainBot = new OscovaBot();
OscovaBot.Logger.LogReceived += (s, o) =>
{
Debug.Log($"OscovaBot: {o.Log}");
};
MainBot.Dialogs.Add(new BotDialog());
//MainBot.Dialogs.
//MainBot.ImportWorkspace("Assets/bot-kb.west");
MainBot.Trainer.StartTraining();
MainBot.MainUser.ResponseReceived += (sender, evt) =>
{
AddMessage($"Bot: {evt.Response.Text}", MessageType.Bot);
};
}
catch (Exception ex)
{
Debug.LogError(ex);
}
}
// Start is called before the first frame update
void Start()
{
try
{
MainBot = new OscovaBot();
OscovaBot.Logger.LogReceived += (s, o) =>
{
Debug.Log($"OscovaBot: {o.Log}");
};
//Import bot's knowledge-base from an Oryzer Workspace project file.
//To read the content of this file ensure you've got Oryzer installed. Visit Oryzer.com
//First read the knowledge.json file and create a workspace.
/*Note: Oryzer usually saves file in .West file extensions so the file was intentionally
* renamed to knowledge.json so Unity stores it as a resource. */
var txtAsset = (TextAsset)Resources.Load("tobor_phase_1_v_0.1", typeof(TextAsset));
var tileFile = txtAsset.text;
Debug.Log(txtAsset);
Debug.Log(tileFile);
var workspace = new WorkspaceGraph();
workspace.LoadFromString(tileFile);
//Import the workspace.
MainBot.ImportWorkspace(workspace);
MainBot.Trainer.StartTraining();
//When the bot generates a response simply display it.
MainBot.MainUser.ResponseReceived += (sender, evt) =>
{
//StartCoroutine(Response(evt.Response.Text));
Debug.Log(evt.Response.Messages);
AddMessage($"Bot: {evt.Response.Messages}", MessageType.Bot);
};
/*Note: Originally from Ma Xin
* MainBot.Recognizers.EntityRecognized += Recognizers_EntityRecognized;
* MainBot.Recognizers.EntitiesExtracted += Recognizers_EntitiesExtracted;
*
* MainBot.Dialogs.Add(new BotDialog());
* //MainBot.ImportWorkspace("Assets/bot.json");//original Assets/SimpleText.west
* MainBot.Trainer.StartTraining();
*
* MainBot.MainUser.ResponseReceived += (sender, evt) =>
* {
* StartCoroutine(Response(evt.Response.Text));
* StartCoroutine(ShowText());
* Debug.Log(evt.Response.Text);
* //AddMessage($"Bot: {evt.Response.Text}", MessageType.Bot);
* };
*/
}
catch (Exception ex)
{
Debug.LogError(ex);
}
}
private dynamic OnPostText(dynamic o)
{
OscovaBot bot = TvBot.Instance;
dynamic result = bot.Evaluate(o.text);
result.Invoke();
return(result);
}
static void Main(string[] args)
{
Thread.CurrentThread.CurrentCulture = CultureInfo.GetCultureInfo("ru-RU");
var dbContext = new NureBotDbContext(false);
var unityContainer = new UnityContainer();
dbContext.Database.Initialize(true);
ContainerBoostraper.RegisterTypes(unityContainer, dbContext, "356520093:AAGKBe8YFpR5_5WIkGfoeRbdTMuOKE2O9GQ");
Bot = unityContainer.Resolve <TelegramBotClient>();
UService = unityContainer.Resolve <IUserService>();
RecognitionSystem = unityContainer.Resolve <OscovaBot>();
Console.Title = Bot.GetMeAsync().Result.Username;
Bot.OnMessage += Bot_OnMessage;
Bot.OnReceiveError += Bot_OnReceiveError;
RecognitionSystem.Dialogs.Add(new CistDialog());
RecognitionSystem.Dialogs.Add(new WeatherDialog());
RecognitionSystem.MainUser.Context.SharedData.Add(Bot);
RecognitionSystem.MainUser.Context.SharedData.Add(UService);
RecognitionSystem.Language.Stemmer = new RussianStemmer();
RecognitionSystem.Language.StopWords = StopWordsGenerator.GenerateRussianStopWords();
RecognitionSystem.Trainer.StartTraining();
RecognitionSystem.Recognizers.Clear();
RecognitionSystem.Recognizers.Add(new RuDateRecognizer());
RecognitionSystem.Language.Culture.DateTimeFormat =
CultureInfo.GetCultureInfo("ru-RU").DateTimeFormat;
RecognitionSystem.Recognizers.Add(new GroupRecognizer());
RecognitionSystem.CreateRecognizer("teacherName", new Regex(@"[А-Яа-я]+ [А-Яа-я]\.? [А-Яа-я]\.?"));
RecognitionSystem.MainUser.ResponseReceived += async(sender, arg) =>
{
var msg = JsonConvert.DeserializeObject <MessageTransfer>(arg.Response.Text);
await Bot.SendTextMessageAsync(msg.ChatId, msg.Message, replyMarkup : msg.ReplyMarkup);
};
Bot.SetWebhookAsync();
Bot.StartReceiving();
Console.BackgroundColor = ConsoleColor.DarkGreen;
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine(@"Service started");
Console.WriteLine(@"Press Enter to Stop Service!");
Console.ReadLine();
Bot.StopReceiving();
dbContext.Dispose();
unityContainer.Dispose();
}
public void Start()
{
_bot = new OscovaBot();
_bot.Plugins.LoadFromDirectory(_pluginsDirectory, fileInfo => fileInfo.Name.ToLower().EndsWith("plugin.dll"));
_bot.Language.WordNet.LoadFromDirectory(_wordNetDirectory);
_bot.Configuration.Scoring.MinimumScore = 0.5;
_bot.Trainer.StartTraining();
_bot.MainUser.ResponseReceived += Reply;
_receiver.Invoke(new AssistantResponse("Жду ваших указаний!"));
}
/** Loads word vectors, see {@link https://developer.syn.co.in/tutorial/bot/oscova/load-word-vectors.html} */
private static void LoadWordVectors(OscovaBot bot)
{
// Loaded from https://s3-us-west-1.amazonaws.com/fasttext-vectors/wiki.en.vec
//var dbName = "wiki.en.vec";
// Loaded from http://nlp.stanford.edu/data/glove.6B.zip
var dbName = @"glove.6B\glove.6B.50d.txt";
var fileStream = new FileStream(ROOT_DIR + dbName, FileMode.Open);
bot.Language.WordVectors.Load(fileStream, VectorDataFormat.Text);
}
public ChatBotC()
{
ob = new OscovaBot();
//Ajouter dialogue (base de connaissane)
ob.Dialogs.Add(new BaseConnaissance());
//Connexion avec bd
ConnectionavecBase conB = new ConnectionavecBase();
ob.MainUser.Context.SharedData.Add(conB);
ob.CreateRecognizer("Categorie", new[] { "T-Shirt", "Short", "Survêtement", "Gilet", "Jacket", "Veste", "Tops", "Robes", "Jupes", "Jeans", "Pantalons", "Accessoires", "Chaussures" });
ob.Trainer.StartTraining();
}
private static void LaunchOscovaBot()
{
var websiteUrl = HttpContext.Current.Request.Url.GetLeftPart(UriPartial.Authority);
var oscovaBot = new OscovaBot();
oscovaBot.Dialogs.Add(new HelloBotDialog());
oscovaBot.CreateRecognizer("start", new Regex(@"(?<!/)(/(?:start))(?(?<=\w)\b)", RegexOptions.IgnoreCase));
oscovaBot.Trainer.StartTraining();
_oscovaBotChannel = new WidgetChannel <OscovaBot>(oscovaBot)
{
ServiceUrl = websiteUrl + "/BotService.aspx",
ResourceUrl = websiteUrl + "/BotResource",
};
}
private static OscovaBot InitBot()
{
var bot = new OscovaBot();
bot.CreateRecognizer <VolumeDirection>("volumeDirection");
bot.CreateRecognizer <Direction>("direction");
bot.CreateRecognizer <StationDirection>("stationDirection");
bot.CreateRecognizer("volumeAddress", new[] { "Lautstärke", "Pegel", "Volume" });
bot.CreateRecognizer("stationAddress", new[] { "Sender", "Kanal", "Fernsehsender", "Fernsehkanal", "TV-Sender", "Programm" });
bot.Recognizers.Add(new StationRecognizer(() => TvControlViewModel.Current.TvStations));
bot.Dialogs.Add(new StationDialog());
bot.Dialogs.Add(new VolumeDialog());
bot.Trainer.StartTraining();
return(bot);
}
static void Main(string[] args)
{
var bot = new OscovaBot();
bot.ImportWorkspace(@"C:\Users\aykut\OneDrive\Documents\bot1.west");
bot.Trainer.StartTraining();
bot.MainUser.ResponseReceived += (sender, eventArgs) =>
{
Console.WriteLine($"Bot: {eventArgs.Response.Text}");
};
while (true)
{
var request = Console.ReadLine();
var evaluationResult = bot.Evaluate(request);
evaluationResult.Invoke();
}
}
public MainWindow()
{
InitializeComponent();
Bot = new OscovaBot();
Bot.MainUser.ResponseReceived += (sender, args) =>
{
ResponseLabel.Content = args.Response.Text;
};
DatabaseUtility = new DatabaseUtility(this);
DatabaseUtility.Initialize();
UpdateDataGrid("SELECT * From Employees");
Bot.MainUser.Context.SharedData.Add(DatabaseUtility);
CreateNameParser();
CreateJobParser();
Bot.CreateRecognizer("set", new[] { "change", "update", "set" });
Bot.CreateRecognizer("property", new[] { "id", "name", "job", "age", "salary" });
Bot.CreateRecognizer("equality", new[] { "greater than", "less than", "equal to", "not equal to", "greater than or equal to", "less than or equal to" });
//Add all required dialogs.
Bot.Dialogs.Add(new DatabaseGenericDialog());
Bot.Dialogs.Add(new DatabaseUpdateByNameDialog());
Bot.Dialogs.Add(new DatabaseUpdateByIdDialog());
Bot.Dialogs.Add(new DatabaseEnquiryDialog());
Bot.Dialogs.Add(new DatabaseSuperlativeDialog());
Bot.Language.Filters.AddWordFilter("=", "equal to");
Bot.Language.Filters.AddWordFilter(">", "greater than");
Bot.Language.Filters.AddWordFilter("<", "less than");
Bot.Language.Filters.AddWordFilter(">=", "greater than or equal to");
Bot.Language.Filters.AddWordFilter("<=", "less than or equal to");
Bot.Language.Filters.AddWordFilter("!=", "not equal to");
//Finally Train the Bot.
//var data = Bot.Trainer.GetTrainingData();
//data.Save(@"d:\training-data.xml");
Bot.Trainer.StartTraining();
}
/** Loads WordNet, see {@link https://developer.syn.co.in/tutorial/bot/oscova/load-wordnet.html} */
private static void LoadWordNet(OscovaBot bot)
{
var directory = ROOT_DIR + @"wordnet\dict";
var wordNet = bot.Language.WordNet;
//Data
wordNet.AddDataSource(new StreamReader(Path.Combine(directory, "data.adj")), PartOfSpeech.Adjective);
wordNet.AddDataSource(new StreamReader(Path.Combine(directory, "data.adv")), PartOfSpeech.Adverb);
wordNet.AddDataSource(new StreamReader(Path.Combine(directory, "data.noun")), PartOfSpeech.Noun);
wordNet.AddDataSource(new StreamReader(Path.Combine(directory, "data.verb")), PartOfSpeech.Verb);
//Indices
wordNet.AddIndexSource(new StreamReader(Path.Combine(directory, "index.adj")), PartOfSpeech.Adjective);
wordNet.AddIndexSource(new StreamReader(Path.Combine(directory, "index.adv")), PartOfSpeech.Adverb);
wordNet.AddIndexSource(new StreamReader(Path.Combine(directory, "index.noun")), PartOfSpeech.Noun);
wordNet.AddIndexSource(new StreamReader(Path.Combine(directory, "index.verb")), PartOfSpeech.Verb);
wordNet.Load();
}
static void Main(string[] args)
{
var oscovaBot = new OscovaBot();
//Channel Tester provides OscovaTestDialog.
var tester = new ChannelTester(Directory.GetCurrentDirectory());
oscovaBot.Dialogs.Add(tester.OscovaTestDialog);
oscovaBot.Trainer.StartTraining();
var discordChannel = new DiscordChannel <OscovaBot>(oscovaBot, "DISCORD_BOT_USER_TOKEN");
discordChannel.Start().Wait();
Console.WriteLine("Your Oscova Bot is now hosted as a Discord Bot. Press any key to exit.");
Console.ReadKey();
discordChannel.Stop().Wait();
}
public Judi()
{
bot = new OscovaBot();
bot.Dialogs.Add(new AppDialog());
dbutility = new DataBaseUtility();
dbutility.init();
bot.MainUser.Context.SharedData.Add(dbutility);
bot.CreateRecognizer("message", new[] { "this is a message" });
bot.CreateRecognizer("price", new[] { "price" });
bot.CreateRecognizer("action", new[] { "show", "display", "show me, give me" });
bot.CreateRecognizer("qteQuestions", new[] { "do you have", "have you", "how many" });
bot.CreateRecognizer("greeting", new[] { "hello", "hi", "good morning", "good afternoon", "good evening" });
String[] st = dbutility.categoryDescriptions();
String[] pl = dbutility.productLib();
bot.CreateRecognizer("category", st);
bot.CreateRecognizer("libelle", pl);
bot.Trainer.StartTraining();
}
private static void Main(string[] args)
{
var bot = new OscovaBot();
bot.Dialogs.Add(new HelloBotDialog());
bot.Dialogs.Add(new AppDialog());
bot.Trainer.StartTraining();
bot.MainUser.ResponseReceived += (sender, eventArgs) =>
{
Console.WriteLine(eventArgs.Response.Text);
};
while (true)
{
var request = Console.ReadLine();
var evaluationResult = bot.Evaluate(request);
evaluationResult.Invoke();
}
}
static BotService()
{
Bot = new OscovaBot();
WidgetChannel = new WidgetChannel(Bot);
//Add the pre-built channel test dialog.
Bot.Dialogs.Add(new ChannelTestDialog(Bot));
//Start training.
Bot.Trainer.StartTraining();
var websiteUrl = HttpContext.Current.Request.Url.GetLeftPart(UriPartial.Authority);
WidgetChannel.ServiceUrl = websiteUrl + "/BotService.aspx";
WidgetChannel.ResourceUrl = websiteUrl + "/BotResources";
WidgetChannel.WidgetTitle = "Our Smart Bot!";
WidgetChannel.LaunchButtonText = "Ask";
WidgetChannel.InputPlaceHolder = "Ask your query here...";
}
static void Main(string[] args)
{
var oscovaBot = new OscovaBot();
//Channel Tester provides OscovaTestDialog.
var tester = new ChannelTester(Directory.GetCurrentDirectory());
//oscovaBot.Dialogs.Add(tester.OscovaTestDialog);
//Load the SIML Modern doc instead of using a channel tester.
oscovaBot.Import(XDocument.Load("knowlege.siml"));
oscovaBot.Trainer.StartTraining();
var discordChannel = new DiscordChannel <OscovaBot>(oscovaBot, "Token Here");
discordChannel.Start().Wait();
Console.WriteLine("Your Oscova Bot is now hosted as a Discord Bot. Press any key to exit.");
Console.ReadKey();
discordChannel.Stop().Wait();
}
/// <summary>
/// ChatPageViewModel Constructor
/// </summary>
public ChatbotPageViewModel()
{
SendCommand = new RelayCommand(Send);
BackArrowCommand = new RelayCommand(Back);
chatbot = new OscovaBot();
var assembly = IntrospectionExtensions.GetTypeInfo(typeof(MainPage)).Assembly;
Stream stream = assembly.GetManifestResourceStream("BluePillApp.Helpers.new3.siml");
chatbot.Import(XDocument.Load(stream));
chatbot.Trainer.StartTraining();
//This gets the chatbots response for each message
chatbot.MainUser.ResponseReceived += (sender, args) =>
{
//await Task.Delay(1000);
Messages.Add(new ChatMessageModel()
{
Text = args.Response.Text, User = App.ChatBot
});
};
}
// Start is called before the first frame update
void Start()
{
try
{
//Create new instance of bot.
MainBot = new OscovaBot();
OscovaBot.Logger.LogReceived += (s, o) =>
{
Debug.Log($"OscovaBot: {o.Log}");
};
//Import bot's knowledge-base from an Oryzer Workspace project file.
//To read the content of this file ensure you've got Oryzer installed. Visit Oryzer.com
//First read the knowledge.json file and create a workspace.
/*Note: Oryzer usually saves file in .West file extensions so the file was intentionally
* renamed to knowledge.json so Unity stores it as a resource. */
var txtAsset = (TextAsset)Resources.Load("knowledge", typeof(TextAsset));
var tileFile = txtAsset.text;
var workspace = new WorkspaceGraph();
workspace.LoadFromString(tileFile);
//Import the workspace.
MainBot.ImportWorkspace(workspace);
MainBot.Trainer.StartTraining();
//When the bot generates a response simply display it.
MainBot.MainUser.ResponseReceived += (sender, evt) =>
{
AddMessage($"Bot: {evt.Response.Text}", MessageType.Bot);
};
}
catch (Exception ex)
{
Debug.LogError(ex);
}
}
protected override void OnActivityResult(int requestCode, Android.App.Result resultVal, Intent data)
{
var bot = new OscovaBot();
bot.Dialogs.Add(new HelloBotDialog());
bot.Trainer.StartTraining();
if (requestCode == VOICE)
{
if (resultVal == Android.App.Result.Ok)
{
var matches = data.GetStringArrayListExtra(RecognizerIntent.ExtraResults);
if (matches.Count != 0)
{
string textInput = input.Text + matches[0];
// limit the output to 500 characters
if (textInput.Length > 500)
{
textInput = textInput.Substring(0, 500);
}
input.Text = textInput;
var result = bot.Evaluate(textInput);
result.Invoke();
CrossTextToSpeech.Current.Speak(output.Text);
}
else
{
input.Text = "No speech was recognised";
}
// change the text back on the button
button.Text = "Start Recording";
}
}
base.OnActivityResult(requestCode, resultVal, data);
}
protected override void OnCreate(Bundle bundle)
{
base.OnCreate(bundle);
isRecording = false;
// Set our view from the "main" layout resource
SetContentView(Resource.Layout.Main);
var bot = new OscovaBot();
bot.Dialogs.Add(new HelloBotDialog());
bot.Trainer.StartTraining();
string rec = Android.Content.PM.PackageManager.FeatureMicrophone;
if (rec != "android.hardware.microphone")
{
// no microphone, no recording. Disable the button and output an alert
var alert = new AlertDialog.Builder(button.Context);
alert.SetTitle("You don't seem to have a microphone to record with");
alert.SetPositiveButton("OK", (sender, e) =>
{
input.Text = "No microphone present";
button.Enabled = false;
return;
});
alert.Show();
}
// Get our button from the layout resource,
// and attach an event to it
button = FindViewById <Button>(Resource.Id.MyButton);
input = FindViewById <EditText>(Resource.Id.editText1);
output = FindViewById <EditText>(Resource.Id.editText2);
bot.MainUser.ResponseReceived += (sender, args) =>
{
output.Text = $"Bot: {args.Response.Text}";
};
button.Click += delegate
{
var result = bot.Evaluate(input.Text);
result.Invoke();
CrossTextToSpeech.Current.Speak(output.Text);
// change the text on the button
button.Text = "End Recording";
isRecording = !isRecording;
if (isRecording)
{
// create the intent and start the activity
var voiceIntent = new Intent(RecognizerIntent.ActionRecognizeSpeech);
voiceIntent.PutExtra(RecognizerIntent.ExtraLanguageModel, RecognizerIntent.LanguageModelFreeForm);
// put a message on the modal dialog
voiceIntent.PutExtra(RecognizerIntent.ExtraPrompt, Application.Context.GetString(Resource.String.messageSpeakNow));
// if there is more then 1.5s of silence, consider the speech over
voiceIntent.PutExtra(RecognizerIntent.ExtraSpeechInputCompleteSilenceLengthMillis, 1500);
voiceIntent.PutExtra(RecognizerIntent.ExtraSpeechInputPossiblyCompleteSilenceLengthMillis, 1500);
voiceIntent.PutExtra(RecognizerIntent.ExtraSpeechInputMinimumLengthMillis, 15000);
voiceIntent.PutExtra(RecognizerIntent.ExtraMaxResults, 1);
// you can specify other languages recognised here, for example
// voiceIntent.PutExtra(RecognizerIntent.ExtraLanguage, Java.Util.Locale.German);
// if you wish it to recognise the default Locale language and German
// if you do use another locale, regional dialects may not be recognised very well
voiceIntent.PutExtra(RecognizerIntent.ExtraLanguage, Java.Util.Locale.Default);
StartActivityForResult(voiceIntent, VOICE);
}
};
}
public void Initialize()
{
try
{
Employees.Clear();
FullEmployeeList.Clear();
Input = string.Empty;
var sheet = Globals.ThisAddIn.Application.ActiveSheet as Worksheet;
var columnCount = sheet?.UsedRange.Columns.Count;
var rowCount = sheet?.UsedRange.Rows.Count;
var columnNameIndexTable = new Dictionary <int, string>();
//Add column names and index.
for (var i = 1; i <= columnCount; i++)
{
var cell = sheet.UsedRange.Cells[1, i] as Range;
if (cell != null)
{
columnNameIndexTable.Add(i, cell.Value.ToString());
}
}
//Create employees list from row data.
for (var r = 2; r <= rowCount; r++)
{
var employee = new Employee();
for (var c = 1; c <= columnCount; c++)
{
var cell = sheet.UsedRange.Cells[r, c] as Range;
var columnName = columnNameIndexTable[c].ToLower();
var stringCellValue = cell?.Value.ToString();
if (stringCellValue == null)
{
break;
}
if (columnName == "id")
{
employee.Id = int.Parse(stringCellValue);
}
if (columnName == "salary")
{
employee.Salary = int.Parse(stringCellValue);
}
if (columnName == "age")
{
employee.Age = int.Parse(stringCellValue);
}
if (columnName == "name")
{
employee.Name = stringCellValue;
}
if (columnName == "role")
{
employee.Role = stringCellValue;
}
}
FullEmployeeList.Add(employee);
}
Bot = new OscovaBot();
Bot.MainUser.Context.SharedData.Add(this);
Bot.Dialogs.Add(new DatabaseGenericDialog());
Bot.Dialogs.Add(new DatabaseEnquiryDialog());
Bot.Dialogs.Add(new DatabaseSuperlativeDialog());
Bot.MainUser.ResponseReceived += (sender, args) =>
{
Output = args.Response.Text;
};
Task.Run(() =>
{
Bot.CreateRecognizer("property", new[] { "ID", "Name", "Role", "Age", "Salary" });
Bot.CreateRecognizer("role", new[] { "CEO", "Manager", "Admin", "Engineer", "Tech", "Support" });
AddEmployeeNameRecognizer();
Bot.Trainer.StartTraining();
});
_sendAction = () =>
{
Output = string.Empty;
var evaluationResult = Bot.Evaluate(Input);
evaluationResult.Invoke();
Input = string.Empty;
};
}
catch (Exception e)
{
Console.WriteLine(e);
}
}
public MusicBotPlugin(OscovaBot bot) : base(bot)
{
bot.Dialogs.Add(new MusicDialog());
}
public WeatherBotPlugin(OscovaBot bot) : base(bot)
{
bot.Dialogs.Add(new WeatherDialog());
}
public CalculationsBotPlugin(OscovaBot bot) : base(bot)
{
bot.Dialogs.Add(new CalculationsDialog());
}
