public async Task OnTurnAsync(ITurnContext turnContext, NextDelegate next,
CancellationToken cancellationToken = new CancellationToken())
{
if (turnContext.Activity.Type == ActivityTypes.Message &&
!string.IsNullOrEmpty(turnContext.Activity.Text))
{
var culture = turnContext.Activity.Locale ?? _defaultLocale ?? English;
List <ModelResult> modelResults = null;
switch (_socialPromptType)
{
case SocialMediaPromptType.Mention:
modelResults = SequenceRecognizer.RecognizeMention(turnContext.Activity.Text, culture);
break;
case SocialMediaPromptType.Hashtag:
modelResults = SequenceRecognizer.RecognizeHashtag(turnContext.Activity.Text, culture);
break;
}
if (modelResults?.Count > 0)
{
var value = modelResults[0].Resolution["value"].ToString();
turnContext.TurnState.Add("SocialEntities", value);
}
}
await next(cancellationToken);
}
public async Task OnTurnAsync(ITurnContext turnContext, NextDelegate next,
CancellationToken cancellationToken = new CancellationToken())
{
if (_mediaMiddlewareSettings.IsSocialMediaEnable && turnContext.Activity.Type == ActivityTypes.Message &&
!string.IsNullOrEmpty(turnContext.Activity.Text))
{
var culture = turnContext.Activity.Locale ?? _mediaMiddlewareSettings.Locale;
List <ModelResult> modelResults = null;
switch (_mediaMiddlewareSettings.MediaType)
{
case SocialMediaType.Mention:
modelResults = SequenceRecognizer.RecognizeMention(turnContext.Activity.Text, culture);
break;
case SocialMediaType.Hashtag:
modelResults = SequenceRecognizer.RecognizeHashtag(turnContext.Activity.Text, culture);
break;
}
if (modelResults?.Count > 0)
{
var value = modelResults[0].Resolution["value"].ToString();
ObjectPath.SetPathValue(turnContext.TurnState, _mediaMiddlewareSettings.Property, value);
}
}
await next(cancellationToken);
}
protected override Task <InputState> OnRecognizeInputAsync(DialogContext dc, CancellationToken cancellationToken)
{
var validateText = dc.State.GetValue <object>(VALUE_PROPERTY);
if (!(validateText is string strEmailText))
{
return(Task.FromResult(InputState.Invalid));
}
var culture = GetCulture(dc);
List <ModelResult> modelResult = null;
switch (this.MediaType.GetValue(dc.State))
{
case SocialMediaInputType.Mention:
modelResult = SequenceRecognizer.RecognizeMention(validateText.ToString(), culture);
break;
case SocialMediaInputType.Hashtag:
modelResult = SequenceRecognizer.RecognizeHashtag(validateText.ToString(), culture);
break;
default:
return(Task.FromResult(InputState.Invalid));
}
if (modelResult == null || modelResult.Count <= 0)
{
return(Task.FromResult(InputState.Unrecognized));
}
var result = modelResult[0].Resolution["value"].ToString();
if (ResultProperty != null)
{
dc.State.SetValue(this.ResultProperty.GetValue(dc.State), result);
}
return(Task.FromResult(InputState.Valid));
}
/// <summary>
/// Parse query with all recognizers.
/// </summary>
private static IEnumerable <ModelResult> ParseAll(string query, string culture)
{
return(MergeResults(new List <ModelResult>[]
{
// 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 colloquial 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),
// Mention recognizer will find all the mention usages
// E.g "@Cicero"
SequenceRecognizer.RecognizeMention(query, culture),
// Hashtag recognizer will find all the hash tag usages
// E.g "task #123"
SequenceRecognizer.RecognizeHashtag(query, culture),
// Email recognizer will find all the emails
// E.g "*****@*****.**"
SequenceRecognizer.RecognizeEmail(query, culture),
// URL recognizer will find all the urls
// E.g "bing.com"
SequenceRecognizer.RecognizeURL(query, culture),
// GUID recognizer will find all the GUID usages
// E.g "{123e4567-e89b-12d3-a456-426655440000}"
SequenceRecognizer.RecognizeGUID(query, culture),
// Quoted text recognizer
// E.g "I meant "no""
SequenceRecognizer.RecognizeQuotedText(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),
}));
}
protected override List <ModelResult> Recognize(string text, string culture)
{
return(SequenceRecognizer.RecognizeMention(text, culture));
}
public void RecognizeMention(string text, string culture, string scale, string typeName)
{
SequenceRecognizer.RecognizeMention(text, culture);
}
