转换Json与circe

时间:2016-09-26 12:31:25

标签: json scala circe

假设以下json有效负载

val json = """{
  "choices" : [
    {
      "name" : "A"
    },
    {
      "name" : "B"
    },
    {
      "name" : "C"
    },
    {
      "name" : "D"
    }
  ],
  "domain" : "Quizz",
  "level" : "Test",
  "mandatory": true
}"""

如何将其转换为

val json = """{
  "value":"B",
  "domain" : "Quizz",
  "level" : "Test",
}"""

" B"是从可用的选择中随机选择的吗?

这是我到目前为止所得到的:

val cursor = parse(json).getOrElse(Json.Null).cursor
for{
  noMandatory<- cursor.downField("mandatory").flatMap(_.delete).map(_.top)
  withEmptyValue = noMandatory.deepMerge(Json.obj("value"->Json.Null))
 }yield withEmptyValue

这会丢弃未使用的&#34;强制性&#34;字段并插入一个空的&#34;值&#34;领域。从数组中获取一个随机值并将其放入&#34; value&#34;但是逃避了我。

- 编辑

我尝试过使用hcursor,这使得上面的内容更清晰(无论如何)

val cursor = parse(json).getOrElse(Json.Null).hcursor

val noMandatory = cursor.downField("mandatory").delete
val withEmptyValue = noMandatory.withFocus(_.deepMerge(Json.obj("value"->Json.Null)))

(我在上面的例子中使用的是0.5.1)

3 个答案:

答案 0 :(得分:2)

不要将副作用与纯代码混合使用。所以我没有解决你的随机问题。

其次,我建议不要删除'choices'字段以保持简单。如果你愿意,可以在以后删除该字段。

第三,为简单起见,将获取和转换阶段分开。在这里,您可以使用案例类来完成大部分工作。

我确信这可能不是惯用的Circe解决方案,但它很好Scala:

import io.circe._, io.circe.generic.auto._, io.circe.parser._, io.circe.syntax._

object ChooserApp extends App {
  val input =
    """{
  "choices" : [
    {
      "name" : "A"
    },
    {
      "name" : "B"
    },
    {
      "name" : "C"
    },
    {
      "name" : "D"
    }
  ],
  "domain" : "Quizz",
  "level" : "Test",
  "mandatory": true
}"""

  val expected =
    """{
      "choices" : [
          {
            "name" : "A"
          },
          {
            "name" : "B"
          },
          {
            "name" : "C"
          },
          {
            "name" : "D"
          }
        ],
  "value":"B",
  "domain" : "Quizz",
  "level" : "Test",
  "mandatory": true
}"""

  case class ForJson(j: Json) {
    def choices: List[String] = {
      j.asObject
        .toList
        .flatMap(_ ("choices"))
        .flatMap(_.asArray)
        .flatten
        .flatMap(_.asObject)
        .flatMap(_ ("name"))
        .flatMap(_.asString)
    }

    def chosen(a: String): Json = {
      j.asObject
        .map(_.add("value", Json.fromString(a)))
        .map(Json.fromJsonObject)
        .getOrElse(j)
    }
  }

  val expectedList = List("A", "B", "C", "D")
  val gotList = ForJson(parse(input).toOption.get).choices
  assert(gotList == expectedList, s"Expected $expectedList, got $gotList")

  val expectedJson = parse(expected).toOption.get
  val gotJson = ForJson(parse(input).toOption.get).chosen("B")
  assert(gotJson == expectedJson, s"Expected $expectedJson, got $gotJson")
}

答案 1 :(得分:1)

在挖掘api后,我想出了:

// a couple utilities
def renameKey(srcKey:String,target:String )(obj:JsonObject):Json= {
  obj("name").fold(obj)(value => obj.add("value", value).remove("name")).asJson
}
def safeDropKeys(json:Json)(keys:String*):Json=
  json.withObject(obj=>keys.foldLeft(obj)((acc, s)=>acc.remove(s)).asJson)

我根据@scala-william建议分离的随机提取器:

def extractRandomChip(cursor: HCursor): Xor[DecodingFailure, Json] = {
  val choice = cursor.get[Array[Json]]("choices").map { choices =>
    val x = util.Random.nextInt(choices.length)
    choices(x).withObject(renameKey("name", "value"))
  }
  choice
}

然后将它们粘在一起:

 val json = for {
  initial <- parse(s)
  value <- extractRandomChip(initial.hcursor)
  cleanedUp = safeDropKeys(initial)("mandatory","choices")
} yield cleanedUp.deepMerge(value)
json.map(_.toString).toOption

根据我对@wheaties回答的评论,我将对两个选项进行基准测试并接受最快选项的结果。

答案 2 :(得分:0)

我的2cents

@  for{
       j <- parser.parse(json).toOption
       jObj <- j.asObject
       jChoices <- jObj("choices")
       choices <- jChoices.as[Seq[Map[String,Json]]].toOption
       v <- choices(Random.nextInt(choices.size)).get("name")
    } yield {
       jObj.add("value", v ) .remove("choices")
    }   

res58: Option[io.circe.JsonObject] = Some(object[domain -> "Quizz",level -> "Test",mandatory -> true,value -> "C"])