序列化对象消失（BinaryFormatter）

背景

我有一个对象需要序列化才能传输到高性能计算集群以供以后使用

以前，我为我的对象使用了开箱即用的二进制格式化程序，它代表了统计形状模型，并且一切都很顺利

我的对象变得更加复杂，我决定通过实现 ISerialized 来自定义序列化过程。我继续支持以以前的格式存储的数据

问题

我的问题是，一个特定值似乎序列化成功，但当我尝试反序列化时，其值始终为 null。 （没有错误，只是一个非常令人不快、无用的 null）

当我在序列化点中断时，我可以通过检查 SerializationInfo 看到该对象已添加到 SerializationInfo 中，并且它具有值（这没什么花哨的，但将在下面发布它的代码）

正在调用序列化构造函数（我也在那里放置了一个断点），但是当我检查构造函数的 SerializationInfo 对象时，它没有数据（它确实有一个条目，只是没有数据）

UPDATE- 下载控制台应用程序here https://docs.google.com/file/d/0B_ITQGuqH0C4bDJoZXJGRzd0aUU/edit?usp=sharing。感谢您的关注

或者，查看此处的代码：

The Code

导致问题的类：（PointProfiles 属性是有问题的对象）

   [Serializable]
    public class TrainingSet : ITrainingSet, ISerializable
    {
        public Dictionary<Tuple<int, int>, IPointTrainingSet> PointProfiles { get; set; }

        public PrincipalComponentAnalysis PointPCA { get; set; }

        public double[] AlignedMean { get; set; }

        public List<Tuple<string, ITransform>> Transforms { get; set; }

        public string[] FileNames { get; set; }

        private static Lazy<BinaryFormatter> formatter = new Lazy<BinaryFormatter>();

        public static ITrainingSet Load(Guid modelId)
        {
            ModelSample s = DataProxy<ModelSample>.AsQueryable().Where(m => m.ModelId == modelId).SingleOrDefault();
            if (s == null)
                return null;

            byte[] raw = s.Samples.ToArray();
            using (MemoryStream ms = new MemoryStream(raw))
                return (ITrainingSet)formatter.Value.Deserialize(ms);

        }

        void ISerializable.GetObjectData(SerializationInfo info, StreamingContext context)
        {
            info.AddValue("pca", PointPCA);

            info.AddValue("tp1", PointProfiles.Select(pp => pp.Key.Item1).ToArray());
            info.AddValue("tp2", PointProfiles.Select(pp => pp.Key.Item2).ToArray());

            var x = PointProfiles.Select(pp => (ProfileModel)pp.Value).ToArray();
            info.AddValue("ipts", x, typeof(ProfileModel[]));

            info.AddValue("am", AlignedMean);

            info.AddValue("tname", Transforms.Select(t => t.Item1).ToArray());
            info.AddValue("tval", Transforms.Select(t => t.Item2).ToArray());
            info.AddValue("fnames", FileNames);
            info.AddValue("version", 1);  // nb
        }

        public TrainingSet(SerializationInfo info, StreamingContext context)
        {
            int version = 0;
            foreach(SerializationEntry s in info)
            {
                if(s.Name == "version")
                    version = (int)s.Value;
            }

            switch(version)
            {
                case 0:
                    // old (default binary formatter)
                    PointPCA = info.GetValue("<PointPCA>k__BackingField", typeof(PrincipalComponentAnalysis)) as PrincipalComponentAnalysis;
                    PointProfiles = info.GetValue("<PointProfiles>k__BackingField", typeof(Dictionary<Tuple<int, int>, IPointTrainingSet>)) as Dictionary<Tuple<int, int>, IPointTrainingSet>;
                    AlignedMean = info.GetValue("<AlignedMean>k__BackingField", typeof(double[])) as double[];
                    Transforms = info.GetValue("<Transforms>k__BackingField", typeof(List<Tuple<string, ITransform>>)) as List<Tuple<string, ITransform>>;
                    FileNames = info.GetValue("<FileNames>k__BackingField", typeof(string[])) as string[];

            //stats.PointPCA = pointPCA;
            //stats.PointProfiles = pointProfiles;
            //stats.AlignedMean = alignedMean;
            //stats.Transforms = transforms;
            //stats.FileNames = fileNames;

                    break;

                case 1:
                    FileNames = info.GetValue("fnames", typeof(string[])) as string[];

                    var t = info.GetValue("tval", typeof(ITransform[])) as ITransform[];
                    var tn = info.GetValue("tname", typeof(string[])) as string[];

                    Transforms = new List<Tuple<string, ITransform>>();
                    for(int i = 0;i < tn.Length;i++)
                        Transforms.Add(new Tuple<string,ITransform>(tn[i], t[i]));

                    AlignedMean = info.GetValue("am", typeof(double[])) as double[];

                    PointPCA = info.GetValue("pca", typeof(PrincipalComponentAnalysis)) as PrincipalComponentAnalysis;


                    var ipts = info.GetValue("ipts", typeof(ProfileModel[]));

                    foreach (var x in info) 
                    {
                        int a = 0;
                        a++;   // break point here, info has an entry for key "ipts", but it's null  (or rather an array of the correct length, and each element of the array is null)
                    }

                    var xxx = ipts as IPointTrainingSet[];

                    var i2 = info.GetValue("tp2", typeof(int[])) as int[];

                    var i1 = info.GetValue("tp1", typeof(int[])) as int[];

                    PointProfiles = new Dictionary<Tuple<int, int>, IPointTrainingSet>();
                    for (int i = 0; i < i1.Length; i++)
                        PointProfiles.Add(new Tuple<int, int>(i1[i], i2[i]), xxx[i]);



                    break;

                default:
                    throw new NotImplementedException("TrainingSet version " + version + " is not supported");
            }

        }

        public TrainingSet()
        {

        }
    }

Profile 类（也可序列化，这是接下来列出的 ProfileModel 的基类）

    [Serializable]
    public class Profile : ISerializable, IProfile
    {
        public double Angle { get; private set; }
        public int PointIndex { get; private set; }
        public int Level { get; set; }


        public double[,] G { get; private set; }
        public virtual double[,] GBar { get { throw new InvalidOperationException(); } }

        public virtual int Width { get { return G.Length; } }

        public Profile(int level, int pointIndex, double angle, double[,] G)
        {
            this.G = G;
            PointIndex = pointIndex;
            Level = level;
            Angle = angle;
        }

        // deserialization
        public Profile(SerializationInfo info, StreamingContext context)
        {
            PointIndex = info.GetInt32("p");
            Angle = info.GetDouble("a");
            G = (double[,])info.GetValue("g", typeof(double[,]));

            Level = info.GetInt32("l");

            //_pca = new Lazy<PrincipalComponentAnalysis>(Pca);
        }

        // serialization
        public void GetObjectData(SerializationInfo info, StreamingContext context)
        {
            info.AddValue("p", PointIndex);
            info.AddValue("a", Angle);
            info.AddValue("g", G);
            info.AddValue("l", Level);
        }

    }

和（最后）ProfileModel 类：

[Serializable]
public class ProfileModel : Profile, ISerializable, IPointTrainingSet
{

    public IProfile MeanProfile { get; private set; }

    private ProfileModel(int level, int PointIndex, IProfile[] profiles)
        : base(level, PointIndex, 0, null)
    {
        double[,] m = Matrix.Create<double>(profiles.Length, profiles[0].G.Columns(), 0);

        int idx = 0;
        foreach (var pg in profiles.Select(p => p.G.GetRow(0)))
            m.SetRow(idx++, pg);



        Profile meanProfile = new Profile(level, PointIndex, 0, m.Mean().ToMatrix());
        MeanProfile = meanProfile;
    }

    // deserialization
    public ProfileModel(SerializationInfo info, StreamingContext context) : base(info, context) {
        var ps = info.GetValue("mp", typeof(Profile));

        MeanProfile = (IProfile)ps;
    }

    // serialization
    public new void GetObjectData(SerializationInfo info, StreamingContext context)
    {
        info.AddValue("mp", MeanProfile, typeof(Profile));
        base.GetObjectData(info, context);
    }

    public override double[,] GBar
    {
        get
        {
            return MeanProfile.G;
        }
    }

    public override int Width { get {
        return GBar.Columns();
    } }
}

如果您能发现我做错的任何事情可能导致这种情况发生，我将非常非常感激:)

首先对数组进行反序列化，然后再执行内部反序列化。当循环遍历 ProfileModel 数组时，其内容尚未被反序列化。

您可以通过实现 IDeserializationCallback （或通过将 OnDeserilized 属性分配给应在反序列化完成时调用的方法）来解决此问题。 OnDeserialzation 方法在整个对象图反序列化后被调用。

您需要将数组存放在私有字段中：

private int []i1;
private int []i2;
private ProfileModel []  ipts;

在反序列化下执行以下操作：

ipts = info.GetValue("ipts", typeof(ProfileModel[]));
i2 = info.GetValue("tp2", typeof(int[])) as int[];
i1 = info.GetValue("tp1", typeof(int[])) as int[];

并实现 IDeserializationCallback：

public void OnDerserilization(object sender)
{
  PointProfiles = new Dictionary<Tuple<int, int>, IPointTrainingSet>();

  for (int i = 0; i < i1.Length; i++)
     PointProfiles.Add(new Tuple<int, int>(i1[i], i2[i]), ipts[i]);
}