internal static SentenceSentiment DeserializeSentenceSentiment(JsonElement element)
{
string text = default;
SentenceSentimentValue sentiment = default;
SentimentConfidenceScorePerLabel confidenceScores = default;
int offset = default;
int length = default;
Optional <IReadOnlyList <SentenceAspect> > aspects = default;
Optional <IReadOnlyList <SentenceOpinion> > opinions = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("text"))
{
text = property.Value.GetString();
continue;
}
if (property.NameEquals("sentiment"))
{
sentiment = property.Value.GetString().ToSentenceSentimentValue();
continue;
}
if (property.NameEquals("confidenceScores"))
{
confidenceScores = SentimentConfidenceScorePerLabel.DeserializeSentimentConfidenceScorePerLabel(property.Value);
continue;
}
if (property.NameEquals("offset"))
{
offset = property.Value.GetInt32();
continue;
}
if (property.NameEquals("length"))
{
length = property.Value.GetInt32();
continue;
}
if (property.NameEquals("aspects"))
{
List <SentenceAspect> array = new List <SentenceAspect>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(SentenceAspect.DeserializeSentenceAspect(item));
}
aspects = array;
continue;
}
if (property.NameEquals("opinions"))
{
List <SentenceOpinion> array = new List <SentenceOpinion>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(SentenceOpinion.DeserializeSentenceOpinion(item));
}
opinions = array;
continue;
}
}
return(new SentenceSentiment(text, sentiment, confidenceScores, offset, length, Optional.ToList(aspects), Optional.ToList(opinions)));
}
internal static DocumentSentiment DeserializeDocumentSentiment(JsonElement element)
{
string id = default;
DocumentSentimentValue sentiment = default;
Optional <TextDocumentStatistics> statistics = default;
SentimentConfidenceScorePerLabel confidenceScores = default;
IReadOnlyList <SentenceSentiment> sentences = default;
IReadOnlyList <TextAnalyticsWarning_internal> warnings = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("id"))
{
id = property.Value.GetString();
continue;
}
if (property.NameEquals("sentiment"))
{
sentiment = property.Value.GetString().ToDocumentSentimentValue();
continue;
}
if (property.NameEquals("statistics"))
{
statistics = TextDocumentStatistics.DeserializeTextDocumentStatistics(property.Value);
continue;
}
if (property.NameEquals("confidenceScores"))
{
confidenceScores = SentimentConfidenceScorePerLabel.DeserializeSentimentConfidenceScorePerLabel(property.Value);
continue;
}
if (property.NameEquals("sentences"))
{
List <SentenceSentiment> array = new List <SentenceSentiment>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(SentenceSentiment.DeserializeSentenceSentiment(item));
}
sentences = array;
continue;
}
if (property.NameEquals("warnings"))
{
List <TextAnalyticsWarning_internal> array = new List <TextAnalyticsWarning_internal>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(TextAnalyticsWarning_internal.DeserializeTextAnalyticsWarning_internal(item));
}
warnings = array;
continue;
}
}
return(new DocumentSentiment(id, sentiment, Optional.ToNullable(statistics), confidenceScores, sentences, warnings));
}