public void DeserializeTextAnalyticsError()
{
var errors = @"
{
""errors"": [
{
""id"": ""2"",
""error"": {
""code"": ""InvalidArgument"",
""innererror"": {
""code"": ""InvalidDocument"",
""message"": ""Document text is empty.""
},
""message"": ""Invalid document in request.""
}
}
]
}
";
using JsonDocument json = JsonDocument.Parse(errors);
TextAnalyticsResult result = TextAnalyticsServiceSerializer.ReadDocumentErrors(json.RootElement).FirstOrDefault();
Assert.IsNotNull(result);
Assert.IsNotNull(result.Error);
Assert.IsTrue(result.Error.ErrorCode.ToString().Equals(TextAnalyticsErrorCode.InvalidDocument, StringComparison.OrdinalIgnoreCase));
Assert.AreEqual(result.Error.Message, "Document text is empty.");
}
public async Task <TextAnalyticsResult> AnalyzeTextAsync(string text)
{
try
{
// COGNITIVE SERVICE : client API REST
ITextAnalyticsAPI client = new TextAnalyticsAPI(new ApiKeyServiceClientCredentials())
{
AzureRegion = AzureRegions.Australiaeast
};
var result = new TextAnalyticsResult();
// COGNITIVE SERVICE : Détection de la langue
var resultLanguage = await client.DetectLanguageAsync(new BatchInput(
new List <Input>()
{
new Input("0", text)
}));
var l = resultLanguage.Documents[0].DetectedLanguages[0];
result.Language = l.Name;
result.LanguageIso = l.Iso6391Name;
// COGNITIVE SERVICE : Détection des phrases clés
var resultKeyPhrases = client.KeyPhrasesAsync(new MultiLanguageBatchInput(
new List <MultiLanguageInput>()
{
new MultiLanguageInput(result.LanguageIso, "0", text)
}));
result.KeyPhrases = resultKeyPhrases.Result.Documents[0].KeyPhrases.ToArray();
// COGNITIVE SERVICE : Détection du score de sentiment
var resultSentiment = client.SentimentAsync(new MultiLanguageBatchInput(
new List <MultiLanguageInput>()
{
new MultiLanguageInput(result.LanguageIso, "0", text)
}));
result.ScoreSentiment = resultSentiment.Result.Documents[0].Score;
return(result);
}
catch (Exception ex)
{
_logger.LogError($"Text analyze : {ex.Message}");
return(null);
}
}
private async Task <DialogAnalysisResult> InterpretResultsAsync(HandwritingRecognitionResult hwrResult, ComputerVisionImageAnalysisResult imageResult)
{
DialogAnalysisResult retResult = new DialogAnalysisResult();
if (hwrResult.Lines?.Count() > 0)
{
// Get labels from handwriting recognition
IEnumerable <ImageTextRegion> labels = hwrResult.Lines.Where(line => string.IsNullOrEmpty(line.Text) == false).Select(line => line.TextRegion);
// Interpret dialog data
DialogDataInterpreter dialogDataInterpreter = new DialogDataInterpreter(imageResult.Metadata.Height, imageResult.Metadata.Width, labels);
retResult = dialogDataInterpreter.Result;
// Extract text from dialog data interpreter's title and content result
List <string> results = new List <string>();
results.Add(retResult.TitleLabel?.TextLabel?.Text);
results.AddRange(retResult.ContentLabels?.Select(label => label?.TextLabel?.Text));
// Analyze key phrases from result text
string text = StringUtility.GetTextOrDefault(results, string.Empty, " ");
if (string.IsNullOrEmpty(text) == false)
{
TextAnalyticsResult <TextAnalyticsKeyPhrasesResult> keyPhrasesResult = await this.TextAnalyticsService.AnalyzeKeyPhrasesAsync(text);
retResult.KeyPhrases = keyPhrasesResult.Results?.Select(kp => kp.KeyPhrases).FirstOrDefault();
}
}
// Add image description tags
if (imageResult.Description?.Tags?.Count() > 0)
{
retResult.Tags = imageResult.Description.Tags;
}
// Add image description captions
if (imageResult.Description?.Captions?.Count() > 0)
{
retResult.Captions =
imageResult.Description.Captions.Where(cap => string.IsNullOrEmpty(cap.Text) == false)
.OrderByDescending(cap => cap.Confidence).Select(cap => cap.Text).ToArray();
}
return(retResult);
}
/// <summary>
/// Get Ask Question Results from Bing Web Search Result
/// </summary>
public static async Task <string[]> GetTopics(string question, string[] currentTopics)
{
// Run keyphrases extraction
TextAnalyticsResult <TextAnalyticsKeyPhrasesResult> textAnalyticsResult =
await TextAnalytics.AnalyzeKeyPhrasesAsync(question);
string[] topics = currentTopics;
if (textAnalyticsResult.Results?.Count() > 0 == true)
{
topics = textAnalyticsResult.Results.Select(r => r.KeyPhrases).FirstOrDefault();
}
if (topics?.Count() > 0)
{
topics = topics.Select(t => t.ToLower()).ToArray();
}
return(topics);
}