GSON是Android和Web平台在Kotlin项目中解析JSON的一个很好的选择。此库由谷歌开发。 https://github.com/google/gson

1. 首先，将GSON添加到项目中:

dependencies {
    implementation 'com.google.code.gson:gson:2.8.9'
}

2. 现在你需要将JSON转换为Kotlin Data类:

复制您的JSON，并前往这个(https://json2kt.com)网站，并粘贴您的JSON输入JSON框。在适当的框中写入包(例如:com.example.appName)和类名(例如:UserData)。这个网站将在下面显示你的数据类的实时预览，你也可以在一个zip文件中下载所有的类。

下载所有类后，解压压缩文件并将它们放入您的项目中。

3.现在像下面这样解析:

val myJson = """
{
    "user_name": "john123",
    "email": "john@example.com",
    "name": "John Doe"
}
""".trimIndent()

val gson = Gson()
var mUser = gson.fromJson(myJson, UserData::class.java)
println(mUser.userName)

:完成)

芬兰湾的科特林序列化

Kotlin特定的库由JetBrains支持的所有平台- Android, JVM, JavaScript，本机。

https://github.com/Kotlin/kotlinx.serialization

Moshi

Moshi是一个JSON库，适用于Android和Java。

https://github.com/square/moshi

杰克逊

https://github.com/FasterXML/jackson

Gson

最受欢迎但几乎被弃用。

https://github.com/google/gson

JSON到Java

http://www.jsonschema2pojo.org/

JSON到Kotlin

智能插件 – https://plugins.jetbrains.com/plugin/9960-json-to-kotlin-class-jsontokotlinclass-

从这里下载deme的源代码(Json解析在android kotlin)

添加这个依赖:

compile 'com.squareup.okhttp3:okhttp:3.8.1'

调用api函数:

 fun run(url: String) {
    dialog.show()
    val request = Request.Builder()
            .url(url)
            .build()

    client.newCall(request).enqueue(object : Callback {
        override fun onFailure(call: Call, e: IOException) {
            dialog.dismiss()

        }

        override fun onResponse(call: Call, response: Response) {
            var str_response = response.body()!!.string()
            val json_contact:JSONObject = JSONObject(str_response)

            var jsonarray_contacts:JSONArray= json_contact.getJSONArray("contacts")

            var i:Int = 0
            var size:Int = jsonarray_contacts.length()

            al_details= ArrayList();

            for (i in 0.. size-1) {
                var json_objectdetail:JSONObject=jsonarray_contacts.getJSONObject(i)


                var model:Model= Model();
                model.id=json_objectdetail.getString("id")
                model.name=json_objectdetail.getString("name")
                model.email=json_objectdetail.getString("email")
                model.address=json_objectdetail.getString("address")
                model.gender=json_objectdetail.getString("gender")

                al_details.add(model)


            }

            runOnUiThread {
                //stuff that updates ui
                val obj_adapter : CustomAdapter
                obj_adapter = CustomAdapter(applicationContext,al_details)
                lv_details.adapter=obj_adapter
            }

            dialog.dismiss()

        }

    })

没有外部库(Android)

解析如下:

val jsonString = """
    {
       "type":"Foo",
       "data":[
          {
             "id":1,
             "title":"Hello"
          },
          {
             "id":2,
             "title":"World"
          }
       ]
    }        
"""

使用这些类:

import org.json.JSONObject

class Response(json: String) : JSONObject(json) {
    val type: String? = this.optString("type")
    val data = this.optJSONArray("data")
            ?.let { 0.until(it.length()).map { i -> it.optJSONObject(i) } } // returns an array of JSONObject
            ?.map { Foo(it.toString()) } // transforms each JSONObject of the array into Foo
}

class Foo(json: String) : JSONObject(json) {
    val id = this.optInt("id")
    val title: String? = this.optString("title")
}

用法:

val foos = Response(jsonString)

不知道这是不是你需要的但我就是这么做的。

使用import org.json.JSONObject:

    val jsonObj = JSONObject(json.substring(json.indexOf("{"), json.lastIndexOf("}") + 1))
    val foodJson = jsonObj.getJSONArray("Foods")
    for (i in 0..foodJson!!.length() - 1) {
        val categories = FoodCategoryObject()
        val name = foodJson.getJSONObject(i).getString("FoodName")
        categories.name = name
    }

下面是json的示例:

{“食品”： [{“食品名称”： “苹果”，“重量”： “110” } ]}

我个人在Kotlin中使用Jackson模块，您可以在这里找到:Jackson -module- Kotlin。

implementation "com.fasterxml.jackson.module:jackson-module-kotlin:$version"

举个例子，下面是解析《流放之路》技能树JSON的代码，它相当重(格式化时84k行):

芬兰湾的科特林代码:

package util

import com.fasterxml.jackson.databind.DeserializationFeature
import com.fasterxml.jackson.module.kotlin.*
import java.io.File

data class SkillTreeData( val characterData: Map<String, CharacterData>, val groups: Map<String, Group>, val root: Root,
                          val nodes: List<Node>, val extraImages: Map<String, ExtraImage>, val min_x: Double,
                          val min_y: Double, val max_x: Double, val max_y: Double,
                          val assets: Map<String, Map<String, String>>, val constants: Constants, val imageRoot: String,
                          val skillSprites: SkillSprites, val imageZoomLevels: List<Int> )


data class CharacterData( val base_str: Int, val base_dex: Int, val base_int: Int )

data class Group( val x: Double, val y: Double, val oo: Map<String, Boolean>?, val n: List<Int> )

data class Root( val g: Int, val o: Int, val oidx: Int, val sa: Int, val da: Int, val ia: Int, val out: List<Int> )

data class Node( val id: Int, val icon: String, val ks: Boolean, val not: Boolean, val dn: String, val m: Boolean,
                 val isJewelSocket: Boolean, val isMultipleChoice: Boolean, val isMultipleChoiceOption: Boolean,
                 val passivePointsGranted: Int, val flavourText: List<String>?, val ascendancyName: String?,
                 val isAscendancyStart: Boolean?, val reminderText: List<String>?, val spc: List<Int>, val sd: List<String>,
                 val g: Int, val o: Int, val oidx: Int, val sa: Int, val da: Int, val ia: Int, val out: List<Int> )

data class ExtraImage( val x: Double, val y: Double, val image: String )

data class Constants( val classes: Map<String, Int>, val characterAttributes: Map<String, Int>,
                      val PSSCentreInnerRadius: Int )

data class SubSpriteCoords( val x: Int, val y: Int, val w: Int, val h: Int )

data class Sprite( val filename: String, val coords: Map<String, SubSpriteCoords> )

data class SkillSprites( val normalActive: List<Sprite>, val notableActive: List<Sprite>,
                         val keystoneActive: List<Sprite>, val normalInactive: List<Sprite>,
                         val notableInactive: List<Sprite>, val keystoneInactive: List<Sprite>,
                         val mastery: List<Sprite> )

private fun convert( jsonFile: File ) {
    val mapper = jacksonObjectMapper()
    mapper.configure( DeserializationFeature.ACCEPT_EMPTY_ARRAY_AS_NULL_OBJECT, true )

    val skillTreeData = mapper.readValue<SkillTreeData>( jsonFile )
    println("Conversion finished !")
}

fun main( args : Array<String> ) {
    val jsonFile: File = File( """rawSkilltree.json""" )
    convert( jsonFile )

JSON(未格式化):http://filebin.ca/3B3reNQf3KXJ/rawSkilltree.json

根据你的描述，我相信符合你的需要。