internal static VideoSink DeserializeVideoSink(JsonElement element)
{
string videoName = default;
Optional <VideoCreationProperties> videoCreationProperties = default;
string localMediaCachePath = default;
string localMediaCacheMaximumSizeMiB = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("videoName"))
{
videoName = property.Value.GetString();
continue;
}
if (property.NameEquals("videoCreationProperties"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
videoCreationProperties = VideoCreationProperties.DeserializeVideoCreationProperties(property.Value);
continue;
}
if (property.NameEquals("localMediaCachePath"))
{
localMediaCachePath = property.Value.GetString();
continue;
}
if (property.NameEquals("localMediaCacheMaximumSizeMiB"))
{
localMediaCacheMaximumSizeMiB = property.Value.GetString();
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 VideoSink(type, name, inputs, videoName, videoCreationProperties.Value, localMediaCachePath, localMediaCacheMaximumSizeMiB));
}
internal static MotionDetectionProcessor DeserializeMotionDetectionProcessor(JsonElement element)
{
Optional <MotionDetectionSensitivity> sensitivity = default;
Optional <bool> outputMotionRegion = default;
Optional <string> eventAggregationWindow = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("sensitivity"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
sensitivity = new MotionDetectionSensitivity(property.Value.GetString());
continue;
}
if (property.NameEquals("outputMotionRegion"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
outputMotionRegion = property.Value.GetBoolean();
continue;
}
if (property.NameEquals("eventAggregationWindow"))
{
eventAggregationWindow = property.Value.GetString();
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 MotionDetectionProcessor(type, name, inputs, Optional.ToNullable(sensitivity), Optional.ToNullable(outputMotionRegion), eventAggregationWindow.Value));
}
internal static SignalGateProcessor DeserializeSignalGateProcessor(JsonElement element)
{
Optional <string> activationEvaluationWindow = default;
Optional <string> activationSignalOffset = default;
Optional <string> minimumActivationTime = default;
Optional <string> maximumActivationTime = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("activationEvaluationWindow"))
{
activationEvaluationWindow = property.Value.GetString();
continue;
}
if (property.NameEquals("activationSignalOffset"))
{
activationSignalOffset = property.Value.GetString();
continue;
}
if (property.NameEquals("minimumActivationTime"))
{
minimumActivationTime = property.Value.GetString();
continue;
}
if (property.NameEquals("maximumActivationTime"))
{
maximumActivationTime = property.Value.GetString();
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 SignalGateProcessor(type, name, inputs, activationEvaluationWindow.Value, activationSignalOffset.Value, minimumActivationTime.Value, maximumActivationTime.Value));
}
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 ProcessorNodeBase DeserializeProcessorNodeBase(JsonElement element)
{
if (element.TryGetProperty("@type", out JsonElement discriminator))
{
switch (discriminator.GetString())
{
case "#Microsoft.VideoAnalyzer.CognitiveServicesVisionProcessor": return(CognitiveServicesVisionProcessor.DeserializeCognitiveServicesVisionProcessor(element));
case "#Microsoft.VideoAnalyzer.ExtensionProcessorBase": return(ExtensionProcessorBase.DeserializeExtensionProcessorBase(element));
case "#Microsoft.VideoAnalyzer.GrpcExtension": return(GrpcExtension.DeserializeGrpcExtension(element));
case "#Microsoft.VideoAnalyzer.HttpExtension": return(HttpExtension.DeserializeHttpExtension(element));
case "#Microsoft.VideoAnalyzer.LineCrossingProcessor": return(LineCrossingProcessor.DeserializeLineCrossingProcessor(element));
case "#Microsoft.VideoAnalyzer.MotionDetectionProcessor": return(MotionDetectionProcessor.DeserializeMotionDetectionProcessor(element));
case "#Microsoft.VideoAnalyzer.ObjectTrackingProcessor": return(ObjectTrackingProcessor.DeserializeObjectTrackingProcessor(element));
case "#Microsoft.VideoAnalyzer.SignalGateProcessor": return(SignalGateProcessor.DeserializeSignalGateProcessor(element));
}
}
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
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 ProcessorNodeBase(type, name, inputs));
}
internal static FileSink DeserializeFileSink(JsonElement element)
{
string baseDirectoryPath = default;
string fileNamePattern = default;
string maximumSizeMiB = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("baseDirectoryPath"))
{
baseDirectoryPath = property.Value.GetString();
continue;
}
if (property.NameEquals("fileNamePattern"))
{
fileNamePattern = property.Value.GetString();
continue;
}
if (property.NameEquals("maximumSizeMiB"))
{
maximumSizeMiB = property.Value.GetString();
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 FileSink(type, name, inputs, baseDirectoryPath, fileNamePattern, maximumSizeMiB));
}
internal static ObjectTrackingProcessor DeserializeObjectTrackingProcessor(JsonElement element)
{
Optional <ObjectTrackingAccuracy> accuracy = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("accuracy"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
accuracy = new ObjectTrackingAccuracy(property.Value.GetString());
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 ObjectTrackingProcessor(type, name, inputs, Optional.ToNullable(accuracy)));
}
internal static LineCrossingProcessor DeserializeLineCrossingProcessor(JsonElement element)
{
IList <NamedLineBase> lines = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("lines"))
{
List <NamedLineBase> array = new List <NamedLineBase>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(NamedLineBase.DeserializeNamedLineBase(item));
}
lines = array;
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 LineCrossingProcessor(type, name, inputs, lines));
}
internal static SinkNodeBase DeserializeSinkNodeBase(JsonElement element)
{
if (element.TryGetProperty("@type", out JsonElement discriminator))
{
switch (discriminator.GetString())
{
case "#Microsoft.VideoAnalyzer.FileSink": return(FileSink.DeserializeFileSink(element));
case "#Microsoft.VideoAnalyzer.IotHubMessageSink": return(IotHubMessageSink.DeserializeIotHubMessageSink(element));
case "#Microsoft.VideoAnalyzer.VideoSink": return(VideoSink.DeserializeVideoSink(element));
}
}
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
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 SinkNodeBase(type, name, inputs));
}
internal static IotHubMessageSink DeserializeIotHubMessageSink(JsonElement element)
{
string hubOutputName = default;
string type = default;
string name = default;
IList <NodeInput> inputs = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("hubOutputName"))
{
hubOutputName = property.Value.GetString();
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 IotHubMessageSink(type, name, inputs, hubOutputName));
}
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));
}
