在 JSON 中找不到必需属性“概率”.路径

我正在反序列化为以下类：

public abstract class Tail_Metrics
{
    [DataMember(Order = 1, IsRequired = true)]
    public double probability { get; set; }
    [DataMember(Order = 2, IsRequired = true)]
    public double min { get; set; }
    [DataMember(Order = 3)]
    public double max { get; set; }
    [DataMember(Order = 4, IsRequired = true)]
    public double mean { get; set; }
    [DataMember(Order = 5)]
    public double variance { get; set; }
    [DataMember(Order = 6)]
    public double skewness { get; set; }
    [DataMember(Order = 7)]
    public double kurtosis { get; set; }
}
public class Layer_Tail_Metrics : Tail_Metrics { }

如您所见，概率、最小值和平均值是必需的，其余的都是可选的。

我正在从我的服务器反序列化以下 JSON 响应：

{
    "probability": 0.01,
    "mean": 0,
    "variance": 0,
    "min": 0,
    "max": 0
}

我收到消息Newtonsoft.Json.JsonSerializationException Required property 'probability' not found in JSON. Path '', line 1, position 95.

这怎么可能？该属性存在于 JSON 中，并且具有正确的类型！

最奇怪的是，如果我从 DataMember 属性中删除 IsRequired 属性，我将停止收到此异常，并且对象完美反序列化。如果其中任何一个将 IsRequired 属性设置为 true，则该属性将引发相同的异常。

---

反序列化代码为：

T retVal = converter.Deserialize<T>(response);

typeof(T)在哪里Layer_Tail_Metrics

converter是一个实现RestSharp.Deserializers.IDeserializer的类，如下所示：

using Newtonsoft.Json;
public class RestSharp...Converter :  RestSharp.Deserializers.IDeserializer
{
    //...
    private JsonSerializerSettings deserializerSettings;
    public RestSharpDataContractNewtonsoftJsonConverter()
    {
        Culture = CultureInfo.InvariantCulture;
        ContentType = "application/json";
        deserializerSettings = new JsonSerializerSettings()
        {
            Converters = new JsonConverter[]{
                new Newtonsoft.Json.Converters.IsoDateTimeConverter()
            }
        };
    }
    public T Deserialize<T>(IRestResponse response)
    {
        return Deserialize<T>(response.Content);
    }
    public T Deserialize<T>(String json)
    {
        return JsonConvert.DeserializeObject<T>(json, deserializerSettings);
    }
}

---

下面是一个重现错误的小型独立示例：

[DataContract()]
public abstract class Tail_Metrics
{
    [DataMember(IsRequired = true)]
    public double probability { get; set; }
    public Tail_Metrics(double probability)
    {
        this.probability = probability;
    }
}
public class Layer_Tail_Metrics : Tail_Metrics
{
    public Layer_Tail_Metrics(double probability) : base(probability) { }
}
class TestClass
{
    static void Main(string[] args)
    {
        string json = @"
        {
            ""probability"": 0.01
        }";
        Layer_Tail_Metrics tm = Newtonsoft.Json.JsonConvert.DeserializeObject<Layer_Tail_Metrics>(json);
    }
}

class Program
{
    static void Main(string[] args)
    {
        string json = @"
        {
            ""probability"": 0.01,
            ""mean"": 0,
            ""variance"": 0,
            ""min"": 0,
            ""max"": 0
        }";
        var tm = JsonConvert.DeserializeObject<Layer_Tail_Metrics>(json);
        Console.WriteLine("probability: " + tm.probability);
        Console.WriteLine("mean: " + tm.mean);
        Console.WriteLine("variance: " + tm.variance);
        Console.WriteLine("min: " + tm.min);
        Console.WriteLine("max: " + tm.max);
    }
    [DataContract]
    public class Layer_Tail_Metrics : Tail_Metrics 
    { 
    }
    [DataContract]
    public class Tail_Metrics
    {
        [DataMember(Order = 1, IsRequired = true)]
        public double probability { get; set; }
        [DataMember(Order = 2, IsRequired = true)]
        public double min { get; set; }
        [DataMember(Order = 3)]
        public double max { get; set; }
        [DataMember(Order = 4, IsRequired = true)]
        public double mean { get; set; }
        [DataMember(Order = 5)]
        public double variance { get; set; }
        [DataMember(Order = 6)]
        public double skewness { get; set; }
        [DataMember(Order = 7)]
        public double kurtosis { get; set; }
    }
}

probability: 0.01
mean: 0
variance: 0
min: 0
max: 0

{
    "response":
    {
        "probability": 0.01,
        "mean": 0,
        "variance": 0,
        "min": 0,
        "max": 0
    }
}