jth*_*h41 4 c# serialization json dictionary json.net
我正在尝试使用Json.Net将以下类与Json进行序列化/反序列化:
public class ChildDictionary:Dictionary<Employee, double>
{
public string Name { get; set; }
}
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我已经在这里,这里和这里找到了相关的信息,但是它们都没有专门处理从字典派生的这种情况下的语法。
员工自己成功地与Json.Net进行了序列化。看起来像这样:
[JsonObject(MemberSerialization.OptIn)]
public class Employee
{
[JsonProperty]
public string Name { get; set; }
[JsonProperty]
public double Factor { get; set; }
[JsonProperty]
public List<ILoadBuilder> LoadBuilders = new List<ILoadBuilder>();
[JsonConstructor]
public LoadCause(string name, double factor, List<ILoadBuilder> loadBuilders)
{
this.Name = name;
this.DurationFactor = Factor;
this.LoadBuilders = loadBuilders;
}
}
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只要我可以在不丢失数据的情况下进行读写,我就不会在乎Json到底是什么样子
关于完成此操作的代码的任何建议应该看起来像什么?Custom JsonConverter或Attributes都是很好的解决方案。
由于您的字典同时具有复杂的键和其他属性,因此您将需要使用自定义JsonConverter序列化和反序列化此类。以下是应该完成此工作的转换器。它分两个部分处理序列化:首先,它使用反射来处理类上的任何读写属性,然后将对象强制转换为字典接口,以处理键值对。后者作为带有Key和Value属性的对象数组写入JSON,这样就可以管理复杂的密钥,而无需跳过额外的麻烦。
public class ComplexDictionaryConverter<K,V> : JsonConverter
{
public override bool CanConvert(Type objectType)
{
return (objectType.GetInterfaces().Any(i => i.IsGenericType && i.GetGenericTypeDefinition() == typeof(IDictionary<K,V>)));
}
public override void WriteJson(JsonWriter writer, object value, JsonSerializer serializer)
{
JObject obj = new JObject();
foreach (PropertyInfo prop in GetReadWriteProperties(value.GetType()))
{
object val = prop.GetValue(value);
obj.Add(prop.Name, val != null ? JToken.FromObject(val, serializer) : new JValue(val));
}
JArray array = new JArray();
foreach (var kvp in (IDictionary<K, V>)value)
{
JObject item = new JObject();
item.Add("Key", JToken.FromObject(kvp.Key, serializer));
item.Add("Value", kvp.Value != null ? JToken.FromObject(kvp.Value, serializer) : new JValue(kvp.Value));
array.Add(item);
}
obj.Add("KVPs", array);
obj.WriteTo(writer);
}
public override object ReadJson(JsonReader reader, Type objectType, object existingValue, JsonSerializer serializer)
{
JObject obj = JObject.Load(reader);
IDictionary<K, V> dict = (IDictionary<K, V>)Activator.CreateInstance(objectType);
foreach (PropertyInfo prop in GetReadWriteProperties(objectType))
{
JToken token = obj[prop.Name];
object val = token != null ? token.ToObject(prop.PropertyType, serializer) : null;
prop.SetValue(dict, val);
}
JArray array = (JArray)obj["KVPs"];
foreach (JObject kvp in array.Children<JObject>())
{
K key = kvp["Key"].ToObject<K>(serializer);
V val = kvp["Value"].ToObject<V>(serializer);
dict.Add(key, val);
}
return dict;
}
private IEnumerable<PropertyInfo> GetReadWriteProperties(Type type)
{
return type.GetProperties().Where(p => p.CanRead && p.CanWrite && !p.GetIndexParameters().Any());
}
}
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要使用转换器,您可以使用这样的[JsonConverter]属性来标记您的类(确保通用参数与您的类继承自的字典的参数匹配):
[JsonConverter(typeof(ComplexDictionaryConverter<Employee, double>))]
public class ChildDictionary : Dictionary<Employee, double>
{
...
}
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这是演示完整往返的演示:
class Program
{
static void Main(string[] args)
{
ChildDictionary dict = new ChildDictionary();
dict.Name = "Roster";
dict.Add(new Employee { Id = 22, Name = "Joe", HireDate = new DateTime(2012, 4, 17) }, 1923.07);
dict.Add(new Employee { Id = 45, Name = "Fred", HireDate = new DateTime(2010, 8, 22) }, 1415.25);
string json = JsonConvert.SerializeObject(dict, Formatting.Indented);
Console.WriteLine(json);
dict = JsonConvert.DeserializeObject<ChildDictionary>(json);
Console.WriteLine("Name: " + dict.Name);
foreach (var kvp in dict)
{
Console.WriteLine("Employee Id: " + kvp.Key.Id);
Console.WriteLine("Employee Name: " + kvp.Key.Name);
Console.WriteLine("Employee Hire Date: " + kvp.Key.HireDate);
Console.WriteLine("Amount: " + kvp.Value);
Console.WriteLine();
}
}
}
[JsonConverter(typeof(ComplexDictionaryConverter<Employee, double>))]
public class ChildDictionary : Dictionary<Employee, double>
{
public string Name { get; set; }
}
public class Employee
{
public int Id { get; set; }
public string Name { get; set; }
public DateTime HireDate { get; set; }
}
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输出:
{
"Name": "Roster",
"KVPs": [
{
"Key": {
"Id": 22,
"Name": "Joe",
"HireDate": "2012-04-17T00:00:00"
},
"Value": 1923.07
},
{
"Key": {
"Id": 45,
"Name": "Fred",
"HireDate": "2010-08-22T00:00:00"
},
"Value": 1415.25
}
]
}
Name: Roster
Employee Id: 22
Employee Name: Joe
Employee Hire Date: 4/17/2012 12:00:00 AM
Amount: 1923.07
Employee Id: 45
Employee Name: Fred
Employee Hire Date: 8/22/2010 12:00:00 AM
Amount: 1415.25
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小提琴:https : //dotnetfiddle.net/fTfoIk