How to Deserialize a JSON Array of Mixed-Type Values into Strongly Typed C# Data Classes?

Deserialize an array of values ​​with a fixed pattern to a strongly typed data class

Question:

There are challenges when deserializing JSON data in a specific format into strongly typed data classes. The data contains an array of players with mixed string and integer values, and the player class consists entirely of unnamed values, in a fixed order.

Solution:

A combination of custom converters and data contract attributes allows efficient deserialization:

1. Create a custom converter:

   Implement a custom converter that converts objects to arrays:

   <code class="language-c#">public class ObjectToArrayConverter<T> : JsonConverter
   {
       // 实现 WriteJson 和 ReadJson 函数
   }</code>

2. Apply custom converter and data contract properties to Player:

   Apply a custom converter to the Player class and use the data contract attribute to specify the order of its properties:

   <code class="language-c#">[JsonConverter(typeof(ObjectToArrayConverter<Player>))]
   [DataContract]
   public class Player
   {
       [DataMember(Order = 1)]
       public int UniqueID { get; set; }
       [DataMember(Order = 2)]
       public string PlayerDescription { get; set; }
   }</code>

3. Modify the root object to a dictionary:

   Change the type of the players attribute in the root object to a dictionary, using player usernames as keys:

   <code class="language-c#">public class ScoreboardResults
   {
       // ...
       public Dictionary<string, Player> players { get; set; }
   }</code>

Example:

The following code example demonstrates deserialization using this solution:

<code class="language-c#">using Newtonsoft.Json;

var json = "{...}";
var results = JsonConvert.DeserializeObject<ScoreboardResults>(json);</code>

Other instructions:

• If using data contract attributes, remember to add a reference to the System.Runtime.Serialization namespace.
• This solution assumes a fixed schema with known property names. For dynamic modes, more advanced deserialization techniques may be required.

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