internal static HttpExtension DeserializeHttpExtension(JsonElement element)
{
EndpointBase endpoint = default;
ImageProperties image = default;
Optional <SamplingOptions> samplingOptions = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("endpoint"))
{
endpoint = EndpointBase.DeserializeEndpointBase(property.Value);
continue;
}
if (property.NameEquals("image"))
{
image = ImageProperties.DeserializeImageProperties(property.Value);
continue;
}
if (property.NameEquals("samplingOptions"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
samplingOptions = SamplingOptions.DeserializeSamplingOptions(property.Value);
continue;
}
if (property.NameEquals("@type"))
{
type = property.Value.GetString();
continue;
}
if (property.NameEquals("name"))
{
name = property.Value.GetString();
continue;
}
if (property.NameEquals("inputs"))
{
List <NodeInput> array = new List <NodeInput>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(NodeInput.DeserializeNodeInput(item));
}
inputs = array;
continue;
}
}
return(new HttpExtension(type, name, inputs, endpoint, image, samplingOptions.Value));
}
internal static ExtensionProcessorBase DeserializeExtensionProcessorBase(JsonElement element)
{
if (element.TryGetProperty("@type", out JsonElement discriminator))
{
switch (discriminator.GetString())
{
case "#Microsoft.VideoAnalyzer.GrpcExtension": return(GrpcExtension.DeserializeGrpcExtension(element));
case "#Microsoft.VideoAnalyzer.HttpExtension": return(HttpExtension.DeserializeHttpExtension(element));
}
}
EndpointBase endpoint = default;
ImageProperties image = default;
Optional <SamplingOptions> samplingOptions = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("endpoint"))
{
endpoint = EndpointBase.DeserializeEndpointBase(property.Value);
continue;
}
if (property.NameEquals("image"))
{
image = ImageProperties.DeserializeImageProperties(property.Value);
continue;
}
if (property.NameEquals("samplingOptions"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
samplingOptions = SamplingOptions.DeserializeSamplingOptions(property.Value);
continue;
}
if (property.NameEquals("@type"))
{
type = property.Value.GetString();
continue;
}
if (property.NameEquals("name"))
{
name = property.Value.GetString();
continue;
}
if (property.NameEquals("inputs"))
{
List <NodeInput> array = new List <NodeInput>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(NodeInput.DeserializeNodeInput(item));
}
inputs = array;
continue;
}
}
return(new ExtensionProcessorBase(type, name, inputs, endpoint, image, samplingOptions.Value));
}
internal static CognitiveServicesVisionProcessor DeserializeCognitiveServicesVisionProcessor(JsonElement element)
{
EndpointBase endpoint = default;
Optional <ImageProperties> image = default;
Optional <SamplingOptions> samplingOptions = default;
SpatialAnalysisOperationBase operation = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("endpoint"))
{
endpoint = EndpointBase.DeserializeEndpointBase(property.Value);
continue;
}
if (property.NameEquals("image"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
image = ImageProperties.DeserializeImageProperties(property.Value);
continue;
}
if (property.NameEquals("samplingOptions"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
samplingOptions = SamplingOptions.DeserializeSamplingOptions(property.Value);
continue;
}
if (property.NameEquals("operation"))
{
operation = SpatialAnalysisOperationBase.DeserializeSpatialAnalysisOperationBase(property.Value);
continue;
}
if (property.NameEquals("@type"))
{
type = property.Value.GetString();
continue;
}
if (property.NameEquals("name"))
{
name = property.Value.GetString();
continue;
}
if (property.NameEquals("inputs"))
{
List <NodeInput> array = new List <NodeInput>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(NodeInput.DeserializeNodeInput(item));
}
inputs = array;
continue;
}
}
return(new CognitiveServicesVisionProcessor(type, name, inputs, endpoint, image.Value, samplingOptions.Value, operation));
}
