First, I searched a lot on Google and StackOverflow for questions like that, but I didn't find any useful answers (to my big surprise).
I saw something about Play Framework, how to create JSON array in Java and how to create JSON objects in Java, but I don't want to use Play Framework and I don't know if the creation of JSON objects differ from Scala to Java.
Following is the JSON I want to create. Later I'll convert the object into a string to send it via a POST request (through an API call).
{
"start_relative": {
"value": "5",
"unit": "years"
},
"metrics": [
{
"name": "DP_391366" # S-Temperature - Celsius
},
{
"name": "DP_812682" # Sensor-A4 Luminosity
}
]
}
How can I do something like that in Scala?
You should use a library that handles serialization/deserialization.
I would consider choosing between Spray Json and Play Json.
I will explain to you how the process works with Play first, and it's very similar to that in Spray.
Let's say you have a class, and an object with an instance and a json as string:
case class MyClass(id: Int,
name: String,
description: String)
object Data {
val obj: MyClass = MyClass(1, "me", "awesome")
val str: String =
"""
|{
| "id": 1,
| "name": "me",
| "description": "awesome"
|}
""".stripMargin
}
For MyClass to be serialized/deserialized, you will need an implicit formatter, specific for this, so you will create an object that contains this formatter using Play.
trait MyClassPlayProtocol {
implicit val formatAbility = Json.format[Ability]
}
object MyClassPlayProtocol extends MyClassPlayProtocol
The serialization/deserialization will look something like this:
object PlayData {
import play.api.libs.json.JsValue
import play.api.libs.json.Json
import MyClassPlayProtocol._
import General._
val str2Json: JsValue = Json.parse(str)
val obj2Json: JsValue = Json.toJson(obj)
val json2Str: String = Json.stringify(str2Json)
val json2Obj: MyClass = obj2Json.as[MyClass]
}
In Spray, the protocol will look like this:
trait MyClassSprayProtocol extends DefaultJsonProtocol {
implicit val myClassFormat = jsonFormat3(MyClass)
}
object MyClassSprayProtocol extends MyClassSprayProtocol
and the serialization/deserialization:
object SprayData {
import spray.json._
import MyClassSprayProtocol._
import General._
val str2Json: JsValue = str.parseJson
val obj2Json: JsValue = obj.toJson
val json2Str: String = str2Json.compactPrint
val json2Obj: MyClass = obj2Json.convertTo[MyClass]
}
As you can see, it's mostly a matter of choice between this two. Both are still improved and probably will be in the near future.
Depending on the benchmark, you will find that one is better than the other by a few miliseconds (usually Spray).
I for one am using Spray at work and Play in some personal projects, and I can't say I found something fundamentally different from one to another.
EDIT:
And to finally answer your question, to go from MyClass to String (serialization), you will do something like this:
PLAY: Json.stringify(Json.toJson(myClass))
SPRAY: myClass.toJson.compactPrint
And the deserialization:
PLAY: Json.parse(string).as[MyClass]
SPRAY: myClass.parseJson.convertTo[MyClass]
You need to use a library if you dont want it to do by yourself there are serveral:
Spray Json - https://github.com/spray/spray-json
Lift Json - https://github.com/lift/lift/tree/master/framework/lift-base/lift-json/
Jerkson - https://github.com/codahale/jerkson
Jackson - You can use Jackson with the scala Module https://github.com/FasterXML/jackson-module-scala
Note: The cool Java Gson LIbrary looses a lot of Magic if you want to use it with Scala, because they dont know Collections. So if you want to use this library you have to convert the "Scala List" to java.util.List and after that use Gson.
Related
Imagine I have a json (in string format) that looked like:
val jsonString: String = "
{
"toys": {
"orange toys": {
"brand":"Toys-R-Us",
"price":"123.45"
}
},
"date":"05-27-1996"
}
"
My question is, how can I get the value for "brand" (Toys-R-Us), in Scala, using the scala.util.parsing.json library? I am assuming that this might require the traversing of the json or maybe even easier, a way to look up the key "brand" and from their obtaining the value.
The scala.util.parsing.json library is outdated, unsafe for open systems, and not included in the latest version of the Scala library.
Use dijon FTW!
import dijon._
import scala.language.dynamics._
val jsonString: String = """
{
"toys": {
"orange toys": {
"brand":"Toys-R-Us",
"price":"123.45"
}
},
"date":"05-27-1996"
}
"""
println(parse(jsonString).toys.`orange toys`.brand)
Here is a runnable code on Scastie that works fine with Scala 2 and Scala 3.
I am trying to familiarize myself with the PlayJSON library. I have a JSON formatted file like this:
{
"Person": [
{
"name": "Jonathon",
"age": 24,
"job": "Accountant"
}
]
}
However, I'm having difficulty with parsing it properly due to the file having different types (name is a String but age is an Int). I could technically make it so the age is a String and call .toInt on it later but for my purposes, it is by default an integer.
I know how to parse some of it:
import play.api.libs.json.{JsValue, Json}
val parsed: JsValue = Json.parse(jsonFile) //assuming jsonFile is that entire JSON String as shown above
val person: List[Map[String, String]] = (parsed \ "Person").as[List[Map[String, String]]]
Creating that person value throws an error. I know Scala is a strongly-typed language but I'm sure there is something I am missing here. I feel like this is an obvious fix too but I'm not quite sure.
The error produced is:
JsResultException(errors:List(((0)/age,List(JsonValidationError(List(error.expected.jsstring),WrappedArray())))
The error you are having, as explained in the error you are getting, is in casting to the map of string to string. The data you provided does not align with it, because the age is a string. If you want to keep in with this approach, you need to parse it into a type that will handle both strings and ints. For example:
(parsed \ "Person").validate[List[Map[String, Any]]]
Having said that, as #Luis wrote in a comment, you can just use case class to parse it. Lets declare 2 case classes:
case class JsonParsingExample(Person: Seq[Person])
case class Person(name: String, age: Int, job: String)
Now we will create a formatter for each of them on their corresponding companion object:
object Person {
implicit val format: OFormat[Person] = Json.format[Person]
}
object JsonParsingExample {
implicit val format: OFormat[JsonParsingExample] = Json.format[JsonParsingExample]
}
Now we can just do:
Json.parse(jsonFile).validate[JsonParsingExample]
Code run at Scastie.
Scala 2.12 here. I'm trying to use Lift-JSON to deserialize some JSON into a Scala object and am having trouble navigating the Lift API. Please note: I'm not married to Lift-JSON, any other working solution will be accepted so long as I don't have to bring any heavy/core Play dependencies into my project.
Here's the JSON file I'm trying to read:
{
"fizz" : "buzz",
"foo" : [
"123",
"456",
"789"
],
"bar" : {
"whistle" : 1,
"feather" : true
}
}
Here's my Scala object hierarchy:
case class Bar(whistle : Integer, feather : Boolean)
case class MyConfig(fizz : String, foo : Array[String], bar : Bar)
And finally my best attempt at the codeup for this:
def loadConfig(configFilePath : String) : MyConfig = {
val configJson = Source.fromFile(configFilePath)
val parsedJson = parse(configJson.mkString)
MyConfig(???)
}
I need validation in place so that if the JSON is not valid an exception is thrown. Any ideas how I can extract fields out of parsedJson and use them to set values for my MyConfig instance? And how to perform the validation?
Have you tried parsedJson.extract[MyConfig]? That is straight out of the Extracting values documentation. If you haven't already, you will need to specify an implicit reference to the default formats:
implicit val formats = DefaultFormats
I am trying to implement a generic pattern with which to generate marshallers and unmarshallers for an Akka HTTP REST service using Argonaut, handling both entity and collection level requests and responses. I have no issues in implementing the entity level as such:
case class Foo(foo: String)
object Foo {
implicit val FooJsonCodec = CodecJson.derive[Foo]
implicit val EntityEncodeJson = FooJson.Encoder
implicit val EntityDecodeJson = FooJson.Decoder
}
I am running into issues attempting to provide encoders and decoders for the following:
[
{ "foo": "1" },
{ "foo": "2" }
]
I have attempted adding the following to my companion:
object Foo {
implicit val FooCollectionJsonCodec = CodecJson.derive[HashSet[Foo]]
}
However, I am receiving the following error:
Error:(33, 90) value jencode0L is not a member of object argonaut.EncodeJson
I see this method truly does not exist but is there any other generic method to generate my expected result. I'm strongly avoiding using an additional case class to describe the collection since I am using reflection heavily in my use case.
At this point, I'd even be fine with a manually constructed Encoder and Decoder, however, I've found no documentation on how to construct it with the expected structure.
Argonaut have predefined encoders and decoders for Scala's immutable lists, sets, streams and vectors. If your type is not supported explicitly, as in the case of java.util.HashSet, you can easily add EncodeJson and DecodeJson for the type:
import argonaut._, Argonaut._
import scala.collection.JavaConverters._
implicit def hashSetEncode[A](
implicit element: EncodeJson[A]
): EncodeJson[java.util.HashSet[A]] =
EncodeJson(set => EncodeJson.SetEncodeJson[A].apply(set.asScala.toSet))
implicit def hashSetDecode[A](
implicit element: DecodeJson[A]
): DecodeJson[java.util.HashSet[A]] =
DecodeJson(cursor => DecodeJson.SetDecodeJson[A]
.apply(cursor)
.map(set => new java.util.HashSet(set.asJava)))
// Usage:
val set = new java.util.HashSet[Int]
set.add(1)
set.add(3)
val jsonSet = set.asJson // [1, 3]
jsonSet.jdecode[java.util.HashSet[Int]] // DecodeResult(Right([1, 3]))
case class A(set: java.util.HashSet[Int])
implicit val codec = CodecJson.derive[A]
val a = A(set)
val jsonA = a.asJson // { "set": [1, 3] }
jsonA.jdecode[A] // DecodeResult(Right(A([1, 3])))
Sample is checked on Scala 2.12.1 and Argonaut 6.2-RC2, but as far as I know it shouldn't depend on some latest changes.
Approach like this works with any linear or unordered homogenous data structure that you want to represent as JSON array. Also, this is preferable to creating a CodecJson: latter can be inferred automatically from JsonEncode and JsonDecode, but not vice versa. This way, your set will serialize and deserialize both when used independently or within other data type, as shown in example.
I don't use Argonaut but use spray-json and suspect solution can be similar.
Have you tried something like this ?
implicit def HashSetJsonCodec[T : CodecJson] = CodecJson.derive[Set[T]]
if it doesn't work I'd probably try creating more verbose implicit function like
implicit def SetJsonCodec[T: CodecJson](implicit codec: CodecJson[T]): CodecJson[Set[T]] = {
CodecJson(
{
case value => JArray(value.map(codec.encode).toList)
},
c => c.as[JsonArray].flatMap {
case arr: Json.JsonArray =>
val items = arr.map(codec.Decoder.decodeJson)
items.find(_.isError) match {
case Some(error) => DecodeResult.fail[Set[T]](error.toString(), c.history)
case None => DecodeResult.ok[Set[T]](items.flatMap(_.value).toSet[T])
}
}
)
}
PS. I didn't test this but hopefully it leads you to the right direction :)
I want to convert a scala list of strings, List[String], to an Json object.
For each string in my list I want to add it to my Json object.
So that it would look like something like this:
{
"names":[
{
"Bob",
"Andrea",
"Mike",
"Lisa"
}
]
}
How do I create an json object looking like this, from my list of strings?
To directly answer your question, a very simplistic and hacky way to do it:
val start = """"{"names":[{"""
val end = """}]}"""
val json = mylist.mkString(start, ",", end)
However, what you almost certainly want to do is pick one of the many JSON libraries out there: play-json gets some good comments, as does lift-json. At the worst, you could just grab a simple JSON library for Java and use that.
Since I'm familiar with lift-json, I'll show you how to do it with that library.
import net.liftweb.json.JsonDSL._
import net.liftweb.json.JsonAST._
import net.liftweb.json.Printer._
import net.liftweb.json.JObject
val json: JObject = "names" -> List("Bob", "Andrea", "Mike", "Lisa")
println(json)
println(pretty(render(json)))
The names -> List(...) expression is implicitly converted by the JsonDSL, since I specified that I wanted it to result in a JObject, so now json is the in-memory model of the json data you wanted.
pretty comes from the Printer object, and render comes from the JsonAST object. Combined, they create a String representation of your data, which looks like
{
"names":["Bob","Andrea","Mike","Lisa"]
}
Be sure to check out the lift documentation, where you'll likely find answers to any further questions about lift's json support.