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)); }
public ExtensionProcessorBase(string name, IEnumerable <NodeInput> inputs, EndpointBase endpoint, ImageProperties image) : base(name, inputs) { if (name == null) { throw new ArgumentNullException(nameof(name)); } if (inputs == null) { throw new ArgumentNullException(nameof(inputs)); } if (endpoint == null) { throw new ArgumentNullException(nameof(endpoint)); } if (image == null) { throw new ArgumentNullException(nameof(image)); } Endpoint = endpoint; Image = image; Type = "#Microsoft.VideoAnalyzer.ExtensionProcessorBase"; }
internal ExtensionProcessorBase(string type, string name, IList <NodeInput> inputs, EndpointBase endpoint, ImageProperties image, SamplingOptions samplingOptions) : base(type, name, inputs) { Endpoint = endpoint; Image = image; SamplingOptions = samplingOptions; Type = type ?? "#Microsoft.VideoAnalyzer.ExtensionProcessorBase"; }
public GrpcExtension(string name, IEnumerable <NodeInput> inputs, EndpointBase endpoint, ImageProperties image, GrpcExtensionDataTransfer dataTransfer) : base(name, inputs, endpoint, image) { if (name == null) { throw new ArgumentNullException(nameof(name)); } if (inputs == null) { throw new ArgumentNullException(nameof(inputs)); } if (endpoint == null) { throw new ArgumentNullException(nameof(endpoint)); } if (image == null) { throw new ArgumentNullException(nameof(image)); } if (dataTransfer == null) { throw new ArgumentNullException(nameof(dataTransfer)); } DataTransfer = dataTransfer; Type = "#Microsoft.VideoAnalyzer.GrpcExtension"; }
internal GrpcExtension(string type, string name, IList <NodeInput> inputs, EndpointBase endpoint, ImageProperties image, SamplingOptions samplingOptions, GrpcExtensionDataTransfer dataTransfer, string extensionConfiguration) : base(type, name, inputs, endpoint, image, samplingOptions) { DataTransfer = dataTransfer; ExtensionConfiguration = extensionConfiguration; Type = type ?? "#Microsoft.VideoAnalyzer.GrpcExtension"; }
internal CognitiveServicesVisionProcessor(string type, string name, IList <NodeInput> inputs, EndpointBase endpoint, ImageProperties image, SamplingOptions samplingOptions, SpatialAnalysisOperationBase operation) : base(type, name, inputs) { Endpoint = endpoint; Image = image; SamplingOptions = samplingOptions; Operation = operation; Type = type ?? "#Microsoft.VideoAnalyzer.CognitiveServicesVisionProcessor"; }
internal static GrpcExtension DeserializeGrpcExtension(JsonElement element) { GrpcExtensionDataTransfer dataTransfer = default; Optional <string> extensionConfiguration = default; 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("dataTransfer")) { dataTransfer = GrpcExtensionDataTransfer.DeserializeGrpcExtensionDataTransfer(property.Value); continue; } if (property.NameEquals("extensionConfiguration")) { extensionConfiguration = property.Value.GetString(); continue; } 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 GrpcExtension(type, name, inputs, endpoint, image, samplingOptions.Value, dataTransfer, extensionConfiguration.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)); }
internal HttpExtension(string type, string name, IList <NodeInput> inputs, EndpointBase endpoint, ImageProperties image, SamplingOptions samplingOptions) : base(type, name, inputs, endpoint, image, samplingOptions) { Type = type ?? "#Microsoft.VideoAnalyzer.HttpExtension"; }
public HttpExtension(string name, IEnumerable <NodeInput> inputs, EndpointBase endpoint, ImageProperties image) : base(name, inputs, endpoint, image) { if (name == null) { throw new ArgumentNullException(nameof(name)); } if (inputs == null) { throw new ArgumentNullException(nameof(inputs)); } if (endpoint == null) { throw new ArgumentNullException(nameof(endpoint)); } if (image == null) { throw new ArgumentNullException(nameof(image)); } Type = "#Microsoft.VideoAnalyzer.HttpExtension"; }