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)
{
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 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();
}
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",
};
}
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();
}
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);
}
}