protected override Task <PromptRecognizerResult <NumberWithUnitResult> > 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 <NumberWithUnitResult>();
if (turnContext.Activity.Type == ActivityTypes.Message)
{
var message = turnContext.Activity.AsMessageActivity();
var culture = turnContext.Activity.Locale ?? DefaultLocale ?? English;
List <Microsoft.Recognizers.Text.ModelResult> results = null;
switch (PromptType)
{
case NumberWithUnitPromptType.Currency:
results = NumberWithUnitRecognizer.RecognizeCurrency(message.Text, culture);
break;
case NumberWithUnitPromptType.Dimension:
results = NumberWithUnitRecognizer.RecognizeDimension(message.Text, culture);
break;
case NumberWithUnitPromptType.Age:
results = NumberWithUnitRecognizer.RecognizeAge(message.Text, culture);
break;
case NumberWithUnitPromptType.Temperature:
results = NumberWithUnitRecognizer.RecognizeTemperature(message.Text, culture);
break;
}
if (results?.Count > 0)
{
var resolvedUnit = results[0].Resolution["unit"].ToString();
var resolvedValue = results[0].Resolution["value"].ToString();
if (double.TryParse(resolvedValue, out var value))
{
result.Succeeded = true;
var numberWithUnitResult = new NumberWithUnitResult
{
Unit = resolvedUnit,
Value = value
};
result.Value = numberWithUnitResult;
}
}
}
return(Task.FromResult(result));
}
public void RecognizeDimension()
{
var input = "75ml";
var actual = NumberWithUnitRecognizer.RecognizeDimension(input, Culture.English);
Assert.AreEqual("dimension", actual[0].TypeName);
Assert.AreEqual("75ml", actual[0].Text);
Assert.AreEqual("75", actual[0].Resolution["value"]);
Assert.AreEqual("Milliliter", actual[0].Resolution["unit"]);
}
/// <summary>
/// Parse query with all recognizers
/// </summary>
private static IEnumerable <ModelResult> ParseAll(string query, string culture)
{
return(MergeResults(
// Number recognizer will find any number from the input
// E.g "I have two apples" will return "2".
NumberRecognizer.RecognizeNumber(query, culture),
// Ordinal number recognizer will find any ordinal number
// E.g "eleventh" will return "11".
NumberRecognizer.RecognizeOrdinal(query, culture),
// Percentage recognizer will find any number presented as percentage
// E.g "one hundred percents" will return "100%"
NumberRecognizer.RecognizePercentage(query, culture),
// Number Range recognizer will find any cardinal or ordinal number range
// E.g. "between 2 and 5" will return "(2,5)"
NumberRecognizer.RecognizeNumberRange(query, culture),
// Age recognizer will find any age number presented
// E.g "After ninety five years of age, perspectives change" will return "95 Year"
NumberWithUnitRecognizer.RecognizeAge(query, culture),
// Currency recognizer will find any currency presented
// E.g "Interest expense in the 1988 third quarter was $ 75.3 million" will return "75300000 Dollar"
NumberWithUnitRecognizer.RecognizeCurrency(query, culture),
// Dimension recognizer will find any dimension presented
// E.g "The six-mile trip to my airport hotel that had taken 20 minutes earlier in the day took more than three hours." will return "6 Mile"
NumberWithUnitRecognizer.RecognizeDimension(query, culture),
// Temperature recognizer will find any temperature presented
// E.g "Set the temperature to 30 degrees celsius" will return "30 C"
NumberWithUnitRecognizer.RecognizeTemperature(query, culture),
// Datetime recognizer This model will find any Date even if its write in coloquial language
// E.g "I'll go back 8pm today" will return "2017-10-04 20:00:00"
DateTimeRecognizer.RecognizeDateTime(query, culture),
// PhoneNumber recognizer will find any phone number presented
// E.g "My phone number is ( 19 ) 38294427."
SequenceRecognizer.RecognizePhoneNumber(query, culture),
// Add IP recognizer - This recognizer will find any Ipv4/Ipv6 presented
// E.g "My Ip is 8.8.8.8"
SequenceRecognizer.RecognizeIpAddress(query, culture),
// Add Boolean recognizer - This model will find yes/no like responses, including emoji -
// E.g "yup, I need that" will return "True"
ChoiceRecognizer.RecognizeBoolean(query, culture)
));
}
private static List <ModelResult> RecognizeNumberWithUnit(string utterance, string culture)
{
var number = NumberRecognizer.RecognizeNumber(utterance, culture);
if (number.Any())
{
// Result when it matches with a number recognizer
return(number);
}
else
{
// Analyze every option for numberWithUnit
var results = new List <List <ModelResult> >();
results.Add(NumberWithUnitRecognizer.RecognizeCurrency(utterance, culture));
results.Add(NumberWithUnitRecognizer.RecognizeAge(utterance, culture));
results.Add(NumberWithUnitRecognizer.RecognizeTemperature(utterance, culture));
results.Add(NumberWithUnitRecognizer.RecognizeDimension(utterance, culture));
// Filter the options that returned nothing and return the one that matched
return(results.FirstOrDefault(r => r.Any()) ?? new List <ModelResult>());
}
}
private static IEnumerable <ModelResult> ParseAll(string query, string culture)
{
return(MergeResults(
// Number recognizer will find any number from the input
NumberRecognizer.RecognizeNumber(query, culture),
// Ordinal number recognizer will find any ordinal number
NumberRecognizer.RecognizeOrdinal(query, culture),
// Percentage recognizer will find any number presented as percentage
NumberRecognizer.RecognizePercentage(query, culture),
// Number Range recognizer will find any cardinal or ordinal number range
NumberRecognizer.RecognizeNumberRange(query, culture),
// Age recognizer will find any age number presented
NumberWithUnitRecognizer.RecognizeAge(query, culture),
// Currency recognizer will find any currency presented
NumberWithUnitRecognizer.RecognizeCurrency(query, culture),
// Dimension recognizer will find any dimension presented
NumberWithUnitRecognizer.RecognizeDimension(query, culture),
// Temperature recognizer will find any temperature presented
NumberWithUnitRecognizer.RecognizeTemperature(query, culture),
// Datetime recognizer This model will find any Date even if its write in coloquial language
DateTimeRecognizer.RecognizeDateTime(query, culture),
// PhoneNumber recognizer will find any phone number presented
SequenceRecognizer.RecognizePhoneNumber(query, culture),
// Add IP recognizer - This recognizer will find any Ipv4/Ipv6 presented
SequenceRecognizer.RecognizeIpAddress(query, culture)
));
}
public Task <object> AnswerAsync(Question question)
{
var questionText = question.ToString();
var results = NumberWithUnitRecognizer.RecognizeDimension(questionText, Culture.English)
.Union(NumberWithUnitRecognizer.RecognizeTemperature(questionText, Culture.English))
.ToList();
// unit conversion - using microsoft recognizers for extraction
if (results.Count == 2)
{
var from = results[0].AttributesStrings();
var to = results[1].AttributesStrings();
if (TryConvert(double.Parse(from["value"]), from["unit"], to["unit"], out var result))
{
return(Task.FromResult <object>(Math.Round(result, 10)));
}
}
// unit conversion - using regex for extraction
var match = Regex.Match(questionText, @"(?<number>[-\.\d]+) (?<fromUnit>[\w ]*) (?:to|in|as) (?<toUnit>[\w ]*)"); // match "<Number> meters to miles"
if (match.Success)
{
var number = double.Parse(match.Groups["number"].Value);
var fromUnit = match.Groups["fromUnit"].Value;
var toUnit = match.Groups["toUnit"].Value;
if (TryConvert(number, fromUnit, toUnit, out var result))
{
return(Task.FromResult <object>(Math.Round(result, 10)));
}
}
throw new Exception("Not matched");
}
public void RecognizeDimension(string text, string culture, string scale, string typeName)
{
NumberWithUnitRecognizer.RecognizeDimension(text, culture);
}
protected override List <ModelResult> Recognize(string text, string culture)
{
return(NumberWithUnitRecognizer.RecognizeDimension(text, culture));
}
private void OutputButton_Click(object sender, EventArgs e)
{
listView1.Items.Clear();
string query = InputField.Text;
string SelectedRecognizer = RecognizerField.Text;
string culture = LanguageToCode(LanguageField.Text);
if (query != "")
{
//----------------------------------------------------------Recognizers
try
{
if (SelectedRecognizer == "Number Recognizer")
{
// Number recognizer will find any number from the input
// E.g "I have two apples" will return "2".
var Recognizer = NumberRecognizer.RecognizeNumber(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Ordinal Recognizer")
{
// Ordinal number recognizer will find any ordinal number
// E.g "eleventh" will return "11".
var Recognizer = NumberRecognizer.RecognizeOrdinal(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Percentage Recognizer")
{
// Percentage recognizer will find any number presented as percentage
// E.g "one hundred percents" will return "100%"
var Recognizer = NumberRecognizer.RecognizePercentage(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Number Range Recognizer")
{
// Number Range recognizer will find any cardinal or ordinal number range
// E.g. "between 2 and 5" will return "(2,5)"
var Recognizer = NumberRecognizer.RecognizeNumberRange(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Age Recognizer")
{
// Age recognizer will find any age number presented
// E.g "After ninety five years of age, perspectives change" will return "95 Year"
var Recognizer = NumberWithUnitRecognizer.RecognizeAge(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Currency Recognizer")
{
// Currency recognizer will find any currency presented
// E.g "Interest expense in the 1988 third quarter was $ 75.3 million" will return "75300000 Dollar"
var Recognizer = NumberWithUnitRecognizer.RecognizeCurrency(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Dimention Recognizer")
{
// Dimension recognizer will find any dimension presented
// E.g "The six-mile trip to my airport hotel that had taken 20 minutes earlier in the day took more than three hours." will return "6 Mile"
var Recognizer = NumberWithUnitRecognizer.RecognizeDimension(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Temperature Recognizer")
{
// Temperature recognizer will find any temperature presented
// E.g "Set the temperature to 30 degrees celsius" will return "30 C"
var Recognizer = NumberWithUnitRecognizer.RecognizeTemperature(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Date And Time Recognizer")
{
// Datetime recognizer This model will find any Date even if its write in coloquial language
// E.g "I'll go back 8pm today" will return "2017-10-04 20:00:00"
var Recognizer = DateTimeRecognizer.RecognizeDateTime(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Phone Number Recognizer")
{
// PhoneNumber recognizer will find any phone number presented
// E.g "My phone number is ( 19 ) 38294427."
var Recognizer = SequenceRecognizer.RecognizePhoneNumber(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Ip Address Recognizer")
{
//IP recognizer will find any Ipv4/Ipv6 presented
// E.g "My Ip is 8.8.8.8"
var Recognizer = SequenceRecognizer.RecognizeIpAddress(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
else if (SelectedRecognizer == "Choice Recognizer")
{
//Boolean recognizer will find yes/no like responses, including emoji -
// E.g "yup, I need that" will return "True"
var Recognizer = ChoiceRecognizer.RecognizeBoolean(query, culture);
for (int i = 0; i < Recognizer.Count; i++)
{
string[] arr = new string[4];
ListViewItem itm;
//add items to ListView
arr[0] = Recognizer[i].Text.ToString();
arr[1] = Recognizer[i].Resolution["value"].ToString();
arr[2] = Recognizer[i].Start.ToString();
arr[3] = Recognizer[i].End.ToString();
itm = new ListViewItem(arr);
listView1.Items.Add(itm);
}
}
}
catch (Exception error)
{
MessageBox.Show("Unable to Recognize\n" + "Exception: " + error.Message.ToString());
}
}
//----------------------------------------------------------Recognizers End
}
protected override Task <InputState> OnRecognizeInputAsync(DialogContext dc, CancellationToken cancellationToken)
{
var validateText = dc.State.GetValue <object>(VALUE_PROPERTY);
if (!(validateText is string))
{
return(Task.FromResult(InputState.Invalid));
}
var culture = GetCulture(dc);
List <ModelResult> results;
var message = validateText.ToString();
switch (NumberUnit.GetValue(dc.State))
{
case NumberWithUnitInputType.Temperature:
results = NumberWithUnitRecognizer.RecognizeTemperature(message, culture);
break;
case NumberWithUnitInputType.Dimension:
results = NumberWithUnitRecognizer.RecognizeDimension(message, culture);
break;
case NumberWithUnitInputType.Currency:
results = NumberWithUnitRecognizer.RecognizeCurrency(message, culture);
break;
case NumberWithUnitInputType.Age:
results = NumberWithUnitRecognizer.RecognizeAge(message, culture);
break;
default:
throw new ArgumentOutOfRangeException();
}
if (results == null || results.Count <= 0)
{
return(Task.FromResult(InputState.Unrecognized));
}
var resolvedUnit = results[0].Resolution["unit"].ToString();
var resolvedValue = results[0].Resolution["value"].ToString();
if (!double.TryParse(resolvedValue, out var value))
{
return(Task.FromResult(InputState.Valid));
}
var result = new
{
Unit = resolvedUnit,
Value = value,
};
if (ResultProperty != null)
{
dc.State.SetValue(ResultProperty.GetValue(dc.State), result);
}
return(Task.FromResult(InputState.Valid));
}