private List <TextAnalyticsRequestsChunk> CreateAudioLevelRequests(SpeechTranscript speechTranscript, int documentRequestLimit)
{
var textAnalyticChunks = new List <TextAnalyticsRequestsChunk>();
if (!speechTranscript.RecognizedPhrases.Any())
{
return(textAnalyticChunks);
}
var textAnalyticsDocumentList = new List <TextAnalyticsRequest>();
foreach (var combinedRecognizedPhrase in speechTranscript.CombinedRecognizedPhrases)
{
var channel = combinedRecognizedPhrase.Channel;
var requestCount = 0;
var displayForm = combinedRecognizedPhrase.Display;
for (int i = 0; i < displayForm.Length; i += TextAnalyticsRequestCharacterLimit)
{
var displayChunk = displayForm.Substring(i, Math.Min(TextAnalyticsRequestCharacterLimit, displayForm.Length - i));
var textAnalyticsDocument = new TextAnalyticsRequest(Locale, $"{channel}_{requestCount}", displayChunk);
textAnalyticsDocumentList.Add(textAnalyticsDocument);
requestCount += 1;
}
}
for (int i = 0; i < textAnalyticsDocumentList.Count; i += documentRequestLimit)
{
textAnalyticChunks.Add(new TextAnalyticsRequestsChunk(textAnalyticsDocumentList.GetRange(i, Math.Min(documentRequestLimit, textAnalyticsDocumentList.Count - i))));
}
Log.LogInformation($"Received {textAnalyticChunks.Count} text analytics chunks from {textAnalyticsDocumentList.Count} documents.");
return(textAnalyticChunks);
}
private List <TextAnalyticsRequestsChunk> CreateUtteranceLevelRequests(SpeechTranscript speechTranscript, int documentRequestLimit)
{
var textAnalyticChunks = new List <TextAnalyticsRequestsChunk>();
if (!speechTranscript.RecognizedPhrases.Any())
{
return(textAnalyticChunks);
}
var textAnalyticsDocumentList = new List <TextAnalyticsRequest>();
foreach (var recognizedPhrase in speechTranscript.RecognizedPhrases)
{
var id = $"{recognizedPhrase.Channel}_{recognizedPhrase.Offset}";
var text = recognizedPhrase.NBest.FirstOrDefault().Display;
text = text.Substring(0, Math.Min(text.Length, TextAnalyticsRequestCharacterLimit));
var textAnalyticsDocument = new TextAnalyticsRequest(Locale, id, text);
textAnalyticsDocumentList.Add(textAnalyticsDocument);
}
for (int i = 0; i < textAnalyticsDocumentList.Count; i += documentRequestLimit)
{
textAnalyticChunks.Add(new TextAnalyticsRequestsChunk(textAnalyticsDocumentList.GetRange(i, Math.Min(documentRequestLimit, textAnalyticsDocumentList.Count - i))));
}
Log.LogInformation($"Received {textAnalyticChunks.Count} text analytics chunks from {textAnalyticsDocumentList.Count} documents.");
return(textAnalyticChunks);
}
private List <TextAnalyticsRequestsChunk> CreateRequestChunks(SpeechTranscript speechTranscript, int documentRequestLimit)
{
var textAnalyticsDocumentList = new List <TextAnalyticsRequest>();
var textAnalyticChunks = new List <TextAnalyticsRequestsChunk>();
if (!speechTranscript.RecognizedPhrases.Any())
{
return(textAnalyticChunks);
}
foreach (var recognizedPhrase in speechTranscript.RecognizedPhrases)
{
var id = $"{recognizedPhrase.Channel}_{recognizedPhrase.Offset}";
var textAnalyticsDocument = new TextAnalyticsRequest(Locale, id, recognizedPhrase.NBest.FirstOrDefault().Display);
textAnalyticsDocumentList.Add(textAnalyticsDocument);
}
Log.LogInformation($"Total text analytics documents: {textAnalyticsDocumentList.Count}");
for (int i = 0; i < textAnalyticsDocumentList.Count; i += documentRequestLimit)
{
textAnalyticChunks.Add(new TextAnalyticsRequestsChunk(textAnalyticsDocumentList.GetRange(i, Math.Min(documentRequestLimit, textAnalyticsDocumentList.Count - i))));
}
Log.LogInformation($"Total chunks: {textAnalyticChunks.Count}");
return(textAnalyticChunks);
}
public static async Task <string> GetTextAnalyticsData(string apiUrl, string apiKey, string utterance, string apiOperation)
{
using (var client = new HttpClient())
{
//setup HttpClient
var fullApiUrl = apiUrl + apiOperation;
client.BaseAddress = new Uri(fullApiUrl);
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", apiKey);
client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
//setup data object
var documents = new List <TextAnalyticsRequestDocument>();
documents.Add(new TextAnalyticsRequestDocument()
{
id = Guid.NewGuid().ToString(),
language = "en",
text = utterance
});
var dataObject = new TextAnalyticsRequest()
{
documents = documents
};
//setup httpContent object
var dataJson = JsonConvert.SerializeObject(dataObject);
HttpResponseMessage response;
using (HttpContent content = new StringContent(dataJson))
{
content.Headers.ContentType = new MediaTypeWithQualityHeaderValue("application/json");
response = await client.PostAsync(fullApiUrl, content);
}
if (response.IsSuccessStatusCode)
{
return(await response.Content.ReadAsStringAsync());
}
else
{
return(string.Empty);
}
}
}
public async Task <IEnumerable <string> > GetImportantWords(string fullText)
{
using (var client = new HttpClient())
{
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "181f82bbf51a4bf88921fe13ee1b2638");
var request = new TextAnalyticsRequest()
{
Documents = new List <TextAnalyticsDocumentRequest>()
{
new TextAnalyticsDocumentRequest()
{
Id = "1",
Language = "en",
Text = fullText
}
}
};
var requestJson = JsonConvert.SerializeObject(request);
var content = new StringContent(requestJson, Encoding.UTF8, "application/json");
var response =
await
client.PostAsync("https://text-analytics-bscox.cognitiveservices.azure.com/text/analytics/v2.1/keyPhrases",
content);
if (!response.IsSuccessStatusCode)
{
return(null);
}
var responseJson = await response.Content.ReadAsStringAsync();
var responseObject = JsonConvert.DeserializeObject <TextAnalyticsResponse>(responseJson);
IEnumerable <string> keyPhrases = responseObject.Documents.FirstOrDefault()?.KeyPhrases;
return(keyPhrases);
}
}
private async Task AnalyzeText(IDialogContext context, string sentence)
{
// 57af6a7afd87438497231387d94767ba
var client = new HttpClient();
var queryString = HttpUtility.ParseQueryString(String.Empty);
// Request headers
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "694352e44987494dbd7cdc52fb65ba09");
var uri = "https://westus.api.cognitive.microsoft.com/text/analytics/v2.0/sentiment?" + queryString;
HttpResponseMessage response;
var body = new TextAnalyticsRequest
{
Documents = new List <RequestDocument>
{
new RequestDocument
{
Language = "en",
Text = sentence,
Id = "primary"
}
}
};
var jsonBody = JsonConvert.SerializeObject(body);
// Request body
byte[] byteData = Encoding.UTF8.GetBytes(jsonBody);
TextAnalyticsResponse textAnalyticsResponse;
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
response = await client.PostAsync(uri, content);
var json = await response.Content.ReadAsStringAsync();
Debug.WriteLine(json);
textAnalyticsResponse = JsonConvert.DeserializeObject <TextAnalyticsResponse>(json);
}
if (textAnalyticsResponse != null)
{
var message = context.MakeMessage();
var responseCard = new HeroCard();
if (textAnalyticsResponse.documents[0].score > .80)
{
responseCard.Images = new List <CardImage> {
new CardImage("http://localhost:3979/Assets/Star5.png")
}
}
;
else if (textAnalyticsResponse.documents[0].score > .60)
{
responseCard.Images = new List <CardImage> {
new CardImage("http://localhost:3979/Assets/Star4.png")
}
}
;
else if (textAnalyticsResponse.documents[0].score > .40)
{
responseCard.Images = new List <CardImage> {
new CardImage("http://localhost:3979/Assets/Star3.png")
}
}
;
else if (textAnalyticsResponse.documents[0].score > .20)
{
responseCard.Images = new List <CardImage> {
new CardImage("http://localhost:3979/Assets/Star2.png")
}
}
;
else
{
responseCard.Images = new List <CardImage> {
new CardImage("http://localhost:3979/Assets/Star1.png")
}
};
responseCard.Title = "Text Analytics";
responseCard.Text = $"Your entered sentence is {Math.Truncate(textAnalyticsResponse.documents[0].score * 100)}% positive.";
message.Attachments.Add(responseCard.ToAttachment());
await context.PostAsync(message);
context.Wait(this.MessageReceived);
}
}
}
