Related
I'm trying to implement caching of a JSON API response with Room.
The response I get in JSON follows this data class structure:
#Serializable
data class ApiDataResponse(
val success: Boolean,
val message: String? = null,
val albums: List<AlbumResponse> = emptyList()
)
#Serializable
data class AlbumResponse(
val id: String,
val title: String,
val createdBy: String,
val enabled: Boolean,
val keywords: List<String>,
val pics: List<PicResponse>
)
#Serializable
data class PicResponse(
val picUrl: String,
val emojis: List<String>
)
Notes:
#Serializable is from kotlinx.serialization library to parse the JSON response.
These response data classes are only used inside my datasource layer, the view layer doesn't care about an ApiDataResponse and only knows a "pure" version of AlbumResponse called Album and a "pure" version of PicResponse called Pic (by "pure" I mean a data class without external library annotations).
So to implement this cache with Room I could discard the ApiDataResponse and save only the contents of AlbumResponse (and consequently PicResponse), having new data classes for Room entities following this idea:
#Entity(tableName = "albums")
data class AlbumEntity(
#PrimaryKey(autoGenerate = false)
val id: String,
val title: String,
val createdBy: String,
val enabled: Boolean,
val keywords: List<String>, // obstacle here
val pics: List<PicEntity> // obstacle here
)
// obstacle here
// #Entity
data class PicEntity(
val picUrl: String,
val emojis: List<String>
)
I already know how to save simple data in Room, with the simplest JSON I was able to do this task, the problem is that in this more complex scenario I have no idea how to achieve this goal. So I wish someone could guide me in this situation.
Maybe it's a little late, but I would still like to add some interesting information regarding MikeT's answer.
It is not necessary to create a new data class just to transform a custom object into a JSON with TypeConverter, for example:
#Entity(tableName = "albums")
data class AlbumEntity(
#PrimaryKey(autoGenerate = false)
val id: String,
val title: String,
val createdBy: String,
val enabled: Boolean,
val keywords: List<String>,
val pics: List<PicEntity> // can be converted directly
)
import kotlinx.serialization.Serializable
#Serializable // to be able to do the serialize with the kotlinx.serialization
data class PicEntity(
val picUrl: String,
val emojis: List<String>
)
With just these two data classes we can build the TypeConverters as follows:
import androidx.room.TypeConverter
import kotlinx.serialization.decodeFromString
import kotlinx.serialization.encodeToString
import kotlinx.serialization.json.Json
class DatabaseConverter {
private val json = Json
#TypeConverter
fun convertStringListToString(strings: List<String>): String =
json.encodeToString(strings)
#TypeConverter
fun convertStringToStringList(string: String): List<String> =
json.decodeFromString(string)
#TypeConverter
fun convertPicEntityListToString(picsEntity: List<PicEntity>): String =
json.encodeToString(picsEntity)
#TypeConverter
fun convertStringToPicEntityList(string: String): List<PicEntity> =
json.decodeFromString(string)
}
Code to create an example dummy list:
object DummyAlbums {
fun createList(): List<AlbumEntity> = listOf(
AlbumEntity(
id = "0001",
title = "Album AB",
createdBy = "Created by AB",
enabled = true,
keywords = listOf("ab"),
pics = dummyPics(albumId = "0001", size = 0)
),
AlbumEntity(
id = "0002",
title = "Album CD",
createdBy = "Created by CD",
enabled = false,
keywords = listOf("cd", "c", "d"),
pics = dummyPics(albumId = "0002", size = 1)
),
AlbumEntity(
id = "0003",
title = "Album EF",
createdBy = "Created by EF",
enabled = true,
keywords = listOf(),
pics = dummyPics(albumId = "0003", size = 2)
)
)
private fun dummyPics(
albumId: String,
size: Int
) = List(size = size) { index ->
PicEntity(
picUrl = "url.com/$albumId/${index + 1}",
emojis = listOf(":)", "^^")
)
}
}
So we can have the following data in table:
I wanted to highlight this detail because maybe it can be important for someone to have a table with the cleanest data. And in even more specific cases, to have it clean, you can do the conversion manually using Kotlin functions, such as joinToString(), split(), etc.
I believe the issue is with columns as lists.
What you could do is add the following classes so the Lists are embedded within a class:-
data class StringList(
val stringList: List<String>
)
data class PicEntityList(
val picEntityList: List<PicEntity>
)
and then change AlbumEntity to use the above instead of the Lists, as per:-
#Entity(tableName = "albums")
data class AlbumEntity(
#PrimaryKey(autoGenerate = false)
val id: String,
val title: String,
val createdBy: String,
val enabled: Boolean,
//val keywords: List<String>, // obstacle here
val keywords: StringList, /// now not an obstacle
//val pics: List<PicEntity> // obstacle here
val emojis: PicEntityList// now not an obstacle
)
To be able to store the "complex" (single object) you need to convert this so some TypeConverters e.g.
class RoomTypeConverters{
#TypeConverter
fun convertStringListToJSON(stringList: StringList): String = Gson().toJson(stringList)
#TypeConverter
fun convertJSONToStringList(json: String): StringList = Gson().fromJson(json,StringList::class.java)
#TypeConverter
fun convertPicEntityListToJSON(picEntityList: PicEntityList): String = Gson().toJson(picEntityList)
#TypeConverter
fun convertJSONToPicEntityList(json: String): PicEntityList = Gson().fromJson(json,PicEntityList::class.java)
}
note this utilises the dependency com.google.code.gson
You then need to have the #TypeConverters annotation to cover the appropriate scope (at the #Database level is the most scope). Note the plural rather than singular, they are different.
To demonstrate the above works, First some functions in an interface annotated with #Dao :-
#Dao
interface AlbumDao {
#Insert(onConflict = OnConflictStrategy.IGNORE)
fun insert(albumEntity: AlbumEntity): Long
#Query("SELECT * FROM albums")
fun getAllAlbums(): List<AlbumEntity>
}
Second an #Database annotated class (note the #TypeConverters annotation) :-
#TypeConverters(RoomTypeConverters::class)
#Database(entities = [AlbumEntity::class], exportSchema = false, version = 1)
abstract class TheDatabase: RoomDatabase() {
abstract fun getAlbumDao(): AlbumDao
companion object {
#Volatile
private var instance: TheDatabase?=null
fun getInstance(context: Context): TheDatabase {
if (instance==null) {
instance = Room.databaseBuilder(context,TheDatabase::class.java,"album.db")
.allowMainThreadQueries()
.build()
}
return instance as TheDatabase
}
}
}
Third some activity code to actually do something (insert some Albums and then extract them writing the extracted data to the Log) :-
class MainActivity : AppCompatActivity() {
lateinit var db: TheDatabase
lateinit var dao: AlbumDao
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
setContentView(R.layout.activity_main)
db = TheDatabase.getInstance(this)
dao = db.getAlbumDao()
dao.insert(AlbumEntity(
"Album001", "The First Album","Fred",false,
StringList(listOf("The","First","Album")),
PicEntityList(
listOf(
PicEntity("PE001", listOf("emoji1","emoji2","emoji3")),
PicEntity("PE002",listOf("emoji10")),
PicEntity("PE003", listOf("emoji20","emoji21"))
))
))
dao.insert(AlbumEntity(
"Album002","This is the Second Album","Mary", true,
StringList(listOf("keya","keyb","keyc","keyd","keye")),
PicEntityList(
listOf(
PicEntity("PE011", listOf("emoji30","emoji31")),
PicEntity("PE012", listOf("emoji1","emoji10","emoji20","emoji30"))
))
))
for (a in dao.getAllAlbums()) {
logAlbum(a)
}
}
fun logAlbum(albumEntity: AlbumEntity) {
val keywords = StringBuilder()
for(s in albumEntity.keywords.stringList) {
keywords.append("\n\t$s")
}
val pelog = StringBuilder()
for (pe in albumEntity.emojis.picEntityList) {
pelog.append("\n\tURL is ${pe.picUrl}")
for (emoji in pe.emojis) {
pelog.append("\n\t\tEmoji is ${emoji}")
}
}
Log.d(
"ALBUMINFO",
"Album id is ${albumEntity.id} " +
"Title is ${albumEntity.title} " +
"CreateBy ${albumEntity.createdBy} " +
"Enabled=${albumEntity.enabled}. " +
"It has ${albumEntity.keywords.stringList.size} keywords. " +
"They are $keywords\n. " +
"It has ${albumEntity.emojis.picEntityList.size} emojis. " +
"They are ${pelog}"
)
}
}
Run on the main thread for convenience and brevity
When run then the log contains:-
D/ALBUMINFO: Album id is Album001 Title is The First Album CreateBy Fred Enabled=false. It has 3 keywords. They are
The
First
Album
. It has 3 emojis. They are
URL is PE001
Emoji is emoji1
Emoji is emoji2
Emoji is emoji3
URL is PE002
Emoji is emoji10
URL is PE003
Emoji is emoji20
Emoji is emoji21
D/ALBUMINFO: Album id is Album002 Title is This is the Second Album CreateBy Mary Enabled=true. It has 5 keywords. They are
keya
keyb
keyc
keyd
keye
. It has 2 emojis. They are
URL is PE011
Emoji is emoji30
Emoji is emoji31
URL is PE012
Emoji is emoji1
Emoji is emoji10
Emoji is emoji20
Emoji is emoji30
i.e. the 2 albums have been extracted along with the appropriate embedded lists.
The Albums table itself (via App Inspection) consists of :-
An Alternative, and from a Database perspective, better approach, instead of embedding lists as a single value (String), would have the lists as related tables (with a one-many or a many-many relationship).
I am using JSON to Kotlin plugin for generating DTO classes with Moshi to save a lot of time dealing with complex JSON response from APIs.
Just to give a glimpse how huge the response can be
Sample DTO using Moshi
#JsonClass(generateAdapter = true)
data class AssetDto(
#Json(name = "data")
val `data`: List<AssetData> = listOf(),
#Json(name = "status")
val status: Status = Status()
)
#Parcelize
#JsonClass(generateAdapter = true)
data class Status(
#Json(name = "elapsed")
val elapsed: Int = 0,
#Json(name = "timestamp")
val timestamp: String = ""
) : Parcelable
#Parcelize
#JsonClass(generateAdapter = true)
data class AssetData(
#Json(name = "id")
val id: String = "",
#Json(name = "metrics")
val metrics: Metrics = Metrics(),
#Json(name = "name")
val name: String = "",
#Json(name = "profile")
val profile: Profile = Profile(),
#Json(name = "symbol")
val symbol: String? = ""
) : Parcelable
Problems
I want to know what is the best way to create Domain Model out of a complex DTO class without manually encoding it.
Should I create Domain Model for AssetDto or AssetData? As you can see I have tons of value-object and I do not know if I should create a Domain Model on each of those value-object or it is okay to reuse the data class from DTO.
For now I generate another pile of plain data class using JSON to Kotlin which means I have dozens of identical data class and it looks like I am still oblige to manually set each values, this became a total blocker now. I am not sure if I should continue implementing mapper.
data class AssetDomain(
var status: Status? = Status(),
var `data`: List<Data>? = listOf()
)
data class Status(
var elapsed: Int? = 0,
var timestamp: String? = ""
)
data class Data(
var id: String? = "",
var metrics: Metrics? = Metrics(),
var name: String? = "",
var profile: Profile? = Profile(),
var symbol: String? = ""
)
You should create domain models based on your business logic not based on the response itself.
What is the most optimized way to compare two ArrayLists of different object type? Let's say I have an Array Lists of Remedies and Adherences and them being:
ObjectA
data class ObjectA(val data: List<Objecta> = emptyList()) {
data class Objecta(
val _id: String,
val remedy_id: String,
val patient_id: String,
val date_created: Long,
val is_ongoing: Boolean?,
val start_date: Long,
val medicine_id: String,
val instruction: String,
val medicine_name: String,
val medicine_type: String,
val end_date: Long,
val repeat_cycle: Int,
val allow_edit: Boolean,
//val schedule: List<Schedule>?,
val is_current: Boolean,
//val medicine: Medicine?,
val price: Float
)
}
ObjectB
data class ObjectB(val data: List<Objectb> = emptyList()) {
data class Objectb(
val _id: String,
val adherence_id: String,
val patient_id: String,
val remedy_id: String,
val alarm_time: String,
val action: String,
val action_time: String,
val dose_discrete: String,
val dose_quantity: Int,
val note: String
)
}
How can I compare both those two array lists "remedyList" and "adherencesList" where remedy_id is the same and remove items in adherencesList when remedy_id is not present in remedyList.
This should work:
Prepare the input
data class Rdata (val r_id:String)
data class Adata (val a_id:String,val r_id:String)
val rList = (1..10).map { Rdata("$it")}
val aList = (5..20).map { Adata("foo", "$it")}
Do the filtering:
val rIds = rList.map { it.r_id }.toSet()
val resultList = aList.filter { it.r_id in rIds}
After this, the resultList contains objects with r_id 5-10. (that is, 11-20 have been removed)
Try this code:
val allRemedies = remedies.flatMap { it.data }.associateBy { it.remedy_id }
val allAdherences = adherences.flatMap { it.data }.associateBy { it.remedy_id }
val allPairs = allAdherences.mapValues { allRemedies[it.key] to it.value }
Playground example
remedies is the List<Remedies> and adherences is the List<Adherences>
First we flatten the List<Remedies> to List<Remedy> and associate each Remedy to its remedy_id. allRemedies is Map<String, Remedy>.
Similarly for the adherences, we prepare a Map<String, Adherence>
Then we map each value of allAdherences map to a pair of Remedy? and Adherence. If there is no Remedy for that remedy_id it will be null.
If all you care about is filtering Adherences that don't have a matching Remedy, you can create a Set of remedy_ids from the Remedy List, and use that to efficiently check if they exist and filter on that.
val validRemedyIds: Set<String> = remedies.data.mapTo(mutableSetOf(), Remedy::remedy_id)
val filteredAdherences = Adherences(adherences.data.filter { it.remedy_id in validRemedyIds })
If you need to match them up later, you should use a map instead of set:
val remediesById = remedies.data.associateBy(Remedy::remedy_id)
And then there are several ways you can combine to compare. One example:
val adherencesToRemedies: List<Pair<Adherence, Remedy>> =
adherences.data.mapNotNull { remediesById[it.remedy_id]?.run { it to this } }
I am trying to show list of messages with different types of ViewHolders i.e. Text, ImageText, Video etc. I get a list of these objects from API somewhat in this format:
{
"message":"success",
"total_pages":273,
"current_page":1,
"page_size":10,
"notifications":[
{
"id":4214,
"notification_message":"test notification 1",
"meta_data":{
"messageId":"19819189",
"viewHolderType":"textOnly",
"body":{
"time":"10-06-21T02:31:29,573",
"type":"notification",
"title":"Hi, Welcome to the NT experience",
"description":"This is the welcome message",
"read":true
}
}
},
{
"id":9811,
"notification_message":"test vss notification",
"meta_data":{
"messageId":"2657652",
"viewHolderType":"textWithImage",
"body":{
"time":"11-06-21T02:31:29,573",
"type":"promotions",
"title":"Your Package - Premium",
"description":"Thank you for subscribing to the package. Your subscription entitles you to Premium 365 Days Plan (worth $76.61)",
"headerImage":"www.someurl.com/image.jpg",
"read":true
}
}
}
]
}
Now I have to parse this list from network module for client module which will use only the objects inside meta_data. To that end I have created following classes:
open class BaseMessageListItem
internal data class MessageListResponse(
#field:SerializedName("current_page")
val current_page: Int,
#field:SerializedName("notifications")
val notifications: List<MessageListItem>,
#field:SerializedName("message")
val message: String,
#field:SerializedName("page_size")
val page_size: Int,
#field:SerializedName("total_page")
val total_page: Int
)
internal data class MessageListItem(
#field:SerializedName(“id”)
val id: String,
#field:SerializedName("notification_message")
val notification_message: String,
#field:SerializedName("meta_data")
val meta_data: MessageListMetaDataItem,
)
internal data class MessageListMetaDataItem(
#field:SerializedName("messageId")
val messageId: String = "",
#field:SerializedName("viewHolderType")
val viewHolderType: String = "",
#field:SerializedName("body")
val body: BaseMessageListItem = BaseMessageListItem()
)
internal data class ImageMessageListItem(
#field:SerializedName("description")
val description: String,
#field:SerializedName("headerImage")
val headerImage: String,
#field:SerializedName("read")
val read: Boolean,
#field:SerializedName("time")
val time: String,
#field:SerializedName("title")
val title: String,
#field:SerializedName("type")
val type: String
): BaseMessageListItem()
internal data class TextMessageListItem(
#field:SerializedName("description")
val description: String,
#field:SerializedName("read")
val read: Boolean,
#field:SerializedName("time")
val time: String,
#field:SerializedName("title")
val title: String,
#field:SerializedName("type")
val type: String
): BaseMessageListItem()
The notifications>meta_data>body can be polymorphic. I have set of classes (for ImageItem, ImageWithTextItem, VideoItem etc) which extend to BaseMessageListItem.
private var runtimeTypeAdapterFactory: RuntimeTypeAdapterFactory<BaseMessageListItem> = RuntimeTypeAdapterFactory
.of(BaseMessageListItem::class.java, "viewHolderType")
.registerSubtype(ImageMessageListItem::class.java, MessageListItemTypes.TEXT_WITH_IMAGE.value)
.registerSubtype(TextMessageListItem::class.java, MessageListItemTypes.TEXT_ONLY.value)
private var gson: Gson = GsonBuilder()
.registerTypeAdapterFactory(runtimeTypeAdapterFactory)
.create()
I tried parsing it using viewHolderType in RuntimeTypeAdapterFactory but since it's not a property of BaseMessageListItem, it is not able to parse it.
Any one has any experience dealing with this type of JSON, please do share any pointers.
RuntimeTypeAdapterFactory requires the viewHolderType field to be put right into the body objects. In order to fix this, you have
either patch RuntimeTypeAdapterFactory (it is not even published as a compiled JAR, but rather still retains in the public repository as source code free to modify), or fix your class hierarchy to lift up the missing field because it can only work with fields on the same nest level.
internal var gson: Gson = GsonBuilder()
.registerTypeAdapterFactory(
RuntimeTypeAdapterFactory.of(BaseMessageListMetaDataItem::class.java, "viewHolderType")
.registerSubtype(TextWithImageMessageListMetaDataItem::class.java, "textWithImage")
.registerSubtype(TextOnlyMessageListMetaDataItem::class.java, "textOnly")
)
.create()
internal data class MessageListItem(
#field:SerializedName("meta_data")
val metaData: BaseMessageListMetaDataItem<*>?,
)
internal abstract class BaseMessageListMetaDataItem<out T>(
#field:SerializedName("viewHolderType")
val viewHolderType: String?,
#field:SerializedName("body")
val body: T?
) where T : BaseMessageListMetaDataItem.Body {
internal abstract class Body
}
internal class TextOnlyMessageListMetaDataItem
: BaseMessageListMetaDataItem<TextOnlyMessageListMetaDataItem.Body>(null, null) {
internal data class Body(
#field:SerializedName("title")
val title: String?
) : BaseMessageListMetaDataItem.Body()
}
internal class TextWithImageMessageListMetaDataItem
: BaseMessageListMetaDataItem<TextWithImageMessageListMetaDataItem.Body>(null, null) {
internal data class Body(
#field:SerializedName("title")
val title: String?,
#field:SerializedName("headerImage")
val headerImage: String?
) : BaseMessageListMetaDataItem.Body()
}
I might be understanding you wrong, but I would like to suggest a different approach. I am assuming you would like to assign to get a ViewHolder type directly from what you get in your API response.
There are two approaches I would like to suggest:
First, if it is possible to get the API response modified, I would suggest to change viewHolderType from a String to an Int so as you can be clear with your mapping and then you can directly compare it.
Second what I would suggest is to keep another key in your data class which sets value as per the viewHolderType it receives which would be something of as follows.
internal data class MessageListMetaDataItem(
#field:SerializedName("messageId")
val messageId: String = "",
#field:SerializedName("viewHolderType")
val viewHolderType: String = "",
#field:SerializedName("body")
val body: BaseMessageListItem = BaseMessageListItem()
) {
val viewHolderMapping: Int
get() = when(viewHolderType){
"textOnly" -> MessageListItemTypes.TEXT_ONLY
"textWithImage" -> MessageListItemTypes.TEXT_WITH_IMAGE
else -> MessageListItemTypes.UNKNOWN_TYPE
}
}
I'm receiving a quite deep JSON object string from a service which I must parse to a JSON object and then map it to classes.
How can I transform a JSON string to object in Kotlin?
After that the mapping to the respective classes, I was using StdDeserializer from Jackson. The problem arises at the moment the object had properties that also had to be deserialized into classes. I was not able to get the object mapper, at least I didn't know how, inside another deserializer.
Preferably, natively, I'm trying to reduce the number of dependencies I need so if the answer is only for JSON manipulation and parsing it'd be enough.
There is no question that the future of parsing in Kotlin will be with kotlinx.serialization. It is part of Kotlin libraries. Version kotlinx.serialization 1.0 is finally released
https://github.com/Kotlin/kotlinx.serialization
import kotlinx.serialization.*
import kotlinx.serialization.json.JSON
#Serializable
data class MyModel(val a: Int, #Optional val b: String = "42")
fun main(args: Array<String>) {
// serializing objects
val jsonData = JSON.stringify(MyModel.serializer(), MyModel(42))
println(jsonData) // {"a": 42, "b": "42"}
// serializing lists
val jsonList = JSON.stringify(MyModel.serializer().list, listOf(MyModel(42)))
println(jsonList) // [{"a": 42, "b": "42"}]
// parsing data back
val obj = JSON.parse(MyModel.serializer(), """{"a":42}""")
println(obj) // MyModel(a=42, b="42")
}
You can use this library https://github.com/cbeust/klaxon
Klaxon is a lightweight library to parse JSON in Kotlin.
Without external library (on Android)
To parse this:
val jsonString = """
{
"type":"Foo",
"data":[
{
"id":1,
"title":"Hello"
},
{
"id":2,
"title":"World"
}
]
}
"""
Use these classes:
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")
}
Usage:
val foos = Response(jsonString)
You can use Gson .
Example
Step 1
Add compile
compile 'com.google.code.gson:gson:2.8.2'
Step 2
Convert json to Kotlin Bean(use JsonToKotlinClass)
Like this
Json data
{
"timestamp": "2018-02-13 15:45:45",
"code": "OK",
"message": "user info",
"path": "/user/info",
"data": {
"userId": 8,
"avatar": "/uploads/image/20180115/1516009286213053126.jpeg",
"nickname": "",
"gender": 0,
"birthday": 1525968000000,
"age": 0,
"province": "",
"city": "",
"district": "",
"workStatus": "Student",
"userType": 0
},
"errorDetail": null
}
Kotlin Bean
class MineUserEntity {
data class MineUserInfo(
val timestamp: String,
val code: String,
val message: String,
val path: String,
val data: Data,
val errorDetail: Any
)
data class Data(
val userId: Int,
val avatar: String,
val nickname: String,
val gender: Int,
val birthday: Long,
val age: Int,
val province: String,
val city: String,
val district: String,
val workStatus: String,
val userType: Int
)
}
Step 3
Use Gson
var gson = Gson()
var mMineUserEntity = gson?.fromJson(response, MineUserEntity.MineUserInfo::class.java)
Not sure if this is what you need but this is how I did it.
Using 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
}
Here's a sample of the json :
{"Foods": [{"FoodName": "Apples","Weight": "110" } ]}
I personally use the Jackson module for Kotlin that you can find here: jackson-module-kotlin.
implementation "com.fasterxml.jackson.module:jackson-module-kotlin:$version"
As an example, here is the code to parse the JSON of the Path of Exile skilltree which is quite heavy (84k lines when formatted) :
Kotlin code:
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 (not-formatted): http://filebin.ca/3B3reNQf3KXJ/rawSkilltree.json
Given your description, I believe it matches your needs.
GSON is a good choice for Android and Web platform to parse JSON in a Kotlin project. This library is developed by Google.
https://github.com/google/gson
1. First, add GSON to your project:
dependencies {
implementation 'com.google.code.gson:gson:2.8.9'
}
2. Now you need to convert your JSON to Kotlin Data class:
Copy your JSON and go to this(https://json2kt.com) website and paste your JSON to Input Json box. Write package(ex: com.example.appName) and Class name(ex: UserData) in proper box. This site will show live preview of your data class below and also you can download all classes at once in a zip file.
After downloading all classes extract the zip file & place them into your project.
3. Now Parse like below:
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)
Done :)
This uses kotlinx.serialization like Elisha's answer. Meanwhile the project is past version 1.0 so the API has changed. Note that e.g. JSON.parse was renamed to Json.decodeFromString. Also it is imported in gradle differently starting in Kotlin 1.4.0:
dependencies {
implementation "org.jetbrains.kotlinx:kotlinx-serialization-json:1.2.0"
}
apply plugin: 'kotlinx-serialization'
Example usage:
import kotlinx.serialization.Serializable
import kotlinx.serialization.json.Json
import kotlinx.serialization.decodeFromString
import kotlinx.serialization.encodeToString
#Serializable
data class Point(val x: Int, val y: Int)
val pt = Json.decodeFromString<Point>("""{"y": 1, "x": 2}""")
val str = Json.encodeToString(pt) // type can be inferred!
val ilist = Json.decodeFromString<List<Int>>("[-1, -2]")
val ptlist = Json.decodeFromString<List<Point>>(
"""[{"x": 3, "y": 4}, {"x": 5, "y": 6}]"""
)
You can use nullable types (T?) for both nullable and optional fields:
#Serializable
data class Point2(val x: Int, val y: Int? = null)
val nlist = Json.decodeFromString<List<Point2>>(
"""[{"x": 7}, {"x": 8, "y": null}, {"x": 9, "y": 0}]"""
)
Kotlin's data class is a class that mainly holds data and has members, .toString() and other methods (e.g. destructuring declarations) automatically defined.
To convert JSON to Kotlin use http://www.json2kotlin.com/
Also you can use Android Studio plugin. File > Settings, select Plugins in left tree, press "Browse repositories...", search "JsonToKotlinClass", select it and click green button "Install".
After AS restart you can use it. You can create a class with File > New > JSON To Kotlin Class (JsonToKotlinClass). Another way is to press Alt + K.
Then you will see a dialog to paste JSON.
In 2018 I had to add package com.my.package_name at the beginning of a class.
First of all.
You can use JSON to Kotlin Data class converter plugin in Android Studio for JSON mapping to POJO classes (kotlin data class).
This plugin will annotate your Kotlin data class according to JSON.
Then you can use GSON converter to convert JSON to Kotlin.
Follow this Complete tutorial:
Kotlin Android JSON Parsing Tutorial
If you want to parse json manually.
val **sampleJson** = """
[
{
"userId": 1,
"id": 1,
"title": "sunt aut facere repellat provident occaecati excepturi optio
reprehenderit",
"body": "quia et suscipit\nsuscipit recusandae consequuntur expedita"
}]
"""
Code to Parse above JSON Array and its object at index 0.
var jsonArray = JSONArray(sampleJson)
for (jsonIndex in 0..(jsonArray.length() - 1)) {
Log.d("JSON", jsonArray.getJSONObject(jsonIndex).getString("title"))
}
Kotlin Serialization
Kotlin specific library by JetBrains for all supported platforms – Android, JVM, JavaScript, Native.
https://github.com/Kotlin/kotlinx.serialization
Moshi
Moshi is a JSON library for Android and Java by Square.
https://github.com/square/moshi
Jackson
https://github.com/FasterXML/jackson
Gson
Most popular but almost deprecated.
https://github.com/google/gson
JSON to Java
http://www.jsonschema2pojo.org/
JSON to Kotlin
IntelliJ plugin - https://plugins.jetbrains.com/plugin/9960-json-to-kotlin-class-jsontokotlinclass-
Parse JSON string to Kotlin object
As others recommend, Gson library is the simplest way!
If the File is in the Asset folder you can do like this, first add
dependencies {
implementation 'com.google.code.gson:gson:2.9.0'
}
then get a file from Asset:
jsonString = context.assets.open(fileName).bufferedReader().use { it.readText() }
then use Gson :
val gson = Gson()
val listPersonType = object : TypeToken<List<Person>>() {}.type
var persons: List<Person> = gson.fromJson(jsonFileString, listPersonType)
persons.forEachIndexed { idx, person -> Log.i("data", "> Item $idx:\n$person") }
Where Person is a Model/Data class, like this
data class Person(val name: String, val age: Int, val messages: List) {
}
If you prefer parsing JSON to JavaScript-like constructs making use of Kotlin syntax, I recommend JSONKraken, of which I am the author.
You can do things like:
val json: JsonValue = JsonKraken.deserialize("""{"getting":{"started":"Hello World"}}""")
println(JsonKraken.serialize(json)) //prints: {"getting":{"started":"Hello World"}}
println(json["getting"]["started"].cast<String>()) //prints: Hello World
Suggestions and opinions on the matter are much apreciated!
I created a simple Extention function to convert JSON string to model class
inline fun <reified T: Any> String.toKotlinObject(): T =
Gson().fromJson(this, T::class.java)
Usage method
stringJson.toKotlinObject<MyModelClass>()
http://www.jsonschema2pojo.org/
Hi you can use this website to convert json to pojo.
control+Alt+shift+k
After that you can manualy convert that model class to kotlin model class. with the help of above shortcut.
Seems like Kotlin does not have any built-in method as in many cases it just imports and implements some tools from Java. After trying lots of packages, finally this one worked reasonably. This fastjson from alibaba, which is very easy to use. Inside build gradle dependencies:
implementation 'com.alibaba:fastjson:1.1.67.android'
Inside your Kotlin code:
import com.alibaba.fastjson.JSON
var jsonDecodedMap: Map<String, String> =
JSON.parse(yourStringValueHere) as Map<String, String>;
Download the source of deme from here(Json parsing in android kotlin)
Add this dependency:
compile 'com.squareup.okhttp3:okhttp:3.8.1'
Call api function:
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()
}
})