Scala JObject类代码示例

//设置package包名称以及导入依赖的类
package com.orendain.sraw.model

import org.json4s.JsonAST.JObject

class MultiSubredditStub(val json: JObject) extends MultiSubreddit {

  val icon_img = valString("icon_img")
  val key_color = valString("icon_img")
  val header_img = valOp[String]("header_img")
  val user_is_banned = valBoolean("user_is_banned")
  val user_is_contributor = valBoolean("user_is_contributor")
  val user_is_moderator = valBoolean("user_is_moderator")
  val header_size = valOp[List[Int]]("header_size")
  val fullname = valString("name")
  val icon_size = valOp[String]("icon_size")
  val display_name = valString("display_name")

  val name = (json \ "name").toString
} 

//设置package包名称以及导入依赖的类
package com.orendain.sraw.model

import org.json4s.JsonAST.JObject
import com.orendain.sraw.model.attribute.Created
import com.orendain.sraw.model.extract._

object Post extends HasExtractor[Post] {

  val extractor = new ObjectExtractor[Post] {
    def canExtract(json: JObject) = true
    def extract(json: JObject) = {
      if (PublicPost.extractor.canExtract(json)) PublicPost.extractor.extract(json)
      else if (Message.extractor.canExtract(json)) Message.extractor.extract(json)
      else throw new ExtractionException("Extraction failed.  Input does not conform to a PublicPost.")
    }
  }
}

abstract class Post(override val json: JObject) extends RedditThing with Created {

  // Shared by all
  val kind = json.values("kind").toString

  // Used by Message, Comment, Submission
  val author = valString("author")
  val distinguished = valOp[String]("distinguished")
  val id = valString("id")
  val name = valString("name")
  val subreddit = valOp[String]("subreddit")

  // Created
  val created = valDouble("created")
  val createdUTC = valDouble("created_utc")
} 

//设置package包名称以及导入依赖的类
package no.ndla.articleapi.model.search

import org.json4s.JsonAST.{JArray, JField, JObject, JString}
import org.json4s.{CustomSerializer, MappingException}
import no.ndla.articleapi.model.domain.Language.UnknownLanguage

class SearchableLanguageValueSerializer extends CustomSerializer[SearchableLanguageValues](format => ( {
  case JObject(items) => SearchableLanguageValues(items.map {
    case JField(name, JString(value)) => LanguageValue(Some(name), value)
  })
}, {
  case x: SearchableLanguageValues =>
    JObject(x.languageValues.map(languageValue => JField(languageValue.lang.getOrElse(UnknownLanguage), JString(languageValue.value))).toList)
}))


class SearchableLanguageListSerializer extends CustomSerializer[SearchableLanguageList](format => ( {
  case JObject(items) => {
    SearchableLanguageList(items.map{
      case JField(name, JArray(fieldItems)) => LanguageValue(Some(name), fieldItems.map{
        case JString(value) => value
        case x => throw new MappingException(s"Cannot convert $x to SearchableLanguageList")
      }.to[Seq])
    })
  }
}, {
  case x: SearchableLanguageList =>
    JObject(x.languageValues.map(languageValue => JField(languageValue.lang.getOrElse(UnknownLanguage), JArray(languageValue.value.map(lv => JString(lv)).toList))).toList)
}))

object SearchableLanguageFormats {
  val JSonFormats = org.json4s.DefaultFormats + new SearchableLanguageValueSerializer + new SearchableLanguageListSerializer
} 

//设置package包名称以及导入依赖的类
package com.ntsdev.connect4.wire

import com.ntsdev.connect4.model.Cell
import org.json4s.CustomSerializer
import org.json4s.JsonAST.{JField, JObject, JString}



class OptionCellSerializer extends CustomSerializer[Option[Cell]](format => (
  {
    case JObject(JField("cell", JString(s)) :: Nil) =>
      Cell.fromString(s)
  },
  {
    case x: Option[_] =>
      if(x.isDefined) {
        val value = x.get.toString
        JObject(JField("cell", JString(value)))
      } else {
        JObject(JField("cell", JString("[-]")))
      }

  }
)) 

//设置package包名称以及导入依赖的类
package io.corbel.sdk.iam

import org.json4s.JsonAST.JObject


case class User(
                 id: Option[String] = None,
                 domain: Option[String] = None,
                 username: Option[String] = None,
                 email: Option[String] = None,
                 password: Option[String] = None,
                 firstName: Option[String] = None,
                 lastName: Option[String] = None,
                 scopes: Option[Seq[String]] = None,
                 groups: Option[Seq[String]] = None,
                 properties: Option[JObject] = None,
                 phoneNumber: Option[String] = None
               ) 

//设置package包名称以及导入依赖的类
package service

import org.json4s.JsonAST.JBool
import org.json4s.JsonAST.JDecimal
import org.json4s.JsonAST.JDouble
import org.json4s.JsonAST.JInt
import org.json4s.JsonAST.JObject
import org.json4s.JsonAST.JString
import org.json4s.native.JsonMethods
import org.mongodb.scala.bson.collection.immutable.Document


class MongoQueryParser {

  def parse(query: String): Document = {
    val json = JsonMethods.parse(query, useBigDecimalForDouble = true)
    val mongoQuery: List[Document] =
      for {
        JObject(child) <- json
        (fieldName, value) <- child
      } yield {
        value match {
          case JString(s) => Document(fieldName -> s)
          case JDouble(num) => Document(fieldName -> num)
          case JDecimal(num) => Document(fieldName -> num)
          case JInt(num) => Document(fieldName -> num.intValue())
          case JBool(bool) => Document(fieldName -> bool)
          case _ => throw new IllegalArgumentException(f"Error when processing field '$fieldName%s': Unsupported type: '$value'")
        }
      }
    mongoQuery.reduce(_ ++ _)
  }
} 

//设置package包名称以及导入依赖的类
package org.apress.prospark

import java.nio.charset.StandardCharsets

import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.streaming.Seconds
import org.apache.spark.streaming.StreamingContext
import org.eclipse.paho.client.mqttv3.MqttClient
import org.eclipse.paho.client.mqttv3.MqttMessage
import org.eclipse.paho.client.mqttv3.persist.MemoryPersistence
import org.json4s.DefaultFormats
import org.json4s.JField
import org.json4s.JsonAST.JObject
import org.json4s.jvalue2extractable
import org.json4s.jvalue2monadic
import org.json4s.native.JsonMethods.parse
import org.json4s.string2JsonInput

object MqttSinkAppA {

  def main(args: Array[String]) {
    if (args.length != 3) {
      System.err.println(
        "Usage: MqttSinkApp <appname> <outputBrokerUrl> <topic>")
      System.exit(1)
    }

    val Seq(appName, outputBrokerUrl, topic) = args.toSeq

    val conf = new SparkConf()
      .setAppName(appName)
      .setJars(SparkContext.jarOfClass(this.getClass).toSeq)

    val batchInterval = 10

    val ssc = new StreamingContext(conf, Seconds(batchInterval))

    HttpUtils.createStream(ssc, url = "https://query.yahooapis.com/v1/public/yql?q=select%20*%20from%20yahoo.finance.quotes%20where%20symbol%20in%20(%22IBM,GOOG,MSFT,AAPL,FB,ORCL,YHOO,TWTR,LNKD,INTC%22)%0A%09%09&format=json&diagnostics=true&env=http%3A%2F%2Fdatatables.org%2Falltables.env",
      interval = batchInterval)
      .flatMap(rec => {
        val query = parse(rec) \ "query"
        ((query \ "results" \ "quote").children).map(rec => JObject(JField("Timestamp", query \ "created")).merge(rec))
      })
      .map(rec => {
        implicit val formats = DefaultFormats
        rec.children.map(f => f.extract[String]) mkString ","
      })
      .foreachRDD { rdd =>
        val client = new MqttClient(outputBrokerUrl, MqttClient.generateClientId(), new MemoryPersistence())
        client.connect()
        rdd.foreach(rec => client.publish(topic, new MqttMessage(rec.getBytes(StandardCharsets.UTF_8))))
        client.disconnect()
        client.close()
      }

    ssc.start()
    ssc.awaitTermination()
  }

} 

//设置package包名称以及导入依赖的类
package ru.finagram.api.json

import org.json4s.JsonAST.JObject
import org.json4s.JsonDSL._
import org.json4s.{ DefaultFormats, Extraction, Formats, JValue, Serializer, TypeInfo }
import ru.finagram.api.{ CallbackQueryUpdate, MessageUpdate, Update }
import ru.finagram.!!!

object UpdateSerializer extends Serializer[Update] {

  private val UpdateClass = classOf[Update]

  override def deserialize(implicit format: Formats): PartialFunction[(TypeInfo, JValue), Update] = {
    case (TypeInfo(UpdateClass, _), json: JObject) =>
      json.values match {
        case v if v.contains("message") =>
          json.extract[MessageUpdate]
        case v if v.contains("callbackQuery") =>
          json.extract[CallbackQueryUpdate]
        case v => !!!(s"Not implemented deserialization for $v")
      }
  }

  override def serialize(implicit format: Formats): PartialFunction[Any, JValue] = {
    case u: MessageUpdate =>
      ("update_id" -> u.updateId) ~~ ("message" -> json(u.message))
    case u: CallbackQueryUpdate =>
      ("update_id" -> u.updateId) ~~ ("callback_query" -> json(u.callbackQuery))
  }

  private def  json(obj: AnyRef): JValue = {
    implicit val formats = DefaultFormats
    Extraction.decompose(obj).snakizeKeys
  }
} 

//设置package包名称以及导入依赖的类
package ru.finagram.api.json

import org.json4s.JsonAST.JObject
import org.json4s.JsonDSL._
import org.json4s._
import ru.finagram.api._

object TelegramResponseSerializer extends Serializer[TelegramResponse] {

  private val ResponseClass = classOf[TelegramResponse]

  override def deserialize(implicit format: Formats): PartialFunction[(TypeInfo, JValue), TelegramResponse] = {
    case (TypeInfo(ResponseClass, _), json: JObject) =>
      val ok = (json \ "ok").extract[Boolean]
      if (ok) {
        json \ "result" match {
          case _: JArray =>
            json.extract[Updates]
          case obj: JObject if obj.values.contains("fileId") =>
            json.extract[FileResponse]
          case obj: JObject if obj.values.contains("id") =>
            json.extract[MeResponse]
          case _ => ???
        }
      } else {
        json.extract[TelegramException]
      }
  }

  override def serialize(implicit format: Formats): PartialFunction[Any, JValue] = {
    case me: MeResponse =>
      ("ok" -> true) ~~ ("result" -> json(me.result))
    case u: Updates =>
      ("ok" -> true) ~~ ("result" -> json(u.result))
    case u: FileResponse =>
      ("ok" -> true) ~~ ("result" -> json(u.result))
    case e: TelegramException =>
      if (e.errorCode.isEmpty)
        ("ok" -> false) ~ ("description" -> e.description)
      else
        ("ok" -> false) ~ ("description" -> e.description) ~ ("errorCode" -> e.errorCode.get)
  }

  private def json(obj: AnyRef): JValue = {
    import ru.finagram.api.json.Implicit.formats
    Extraction.decompose(obj)
  }
} 

//设置package包名称以及导入依赖的类
package ru.finagram.api.json

import org.json4s.JsonAST.JObject
import org.json4s.{ Formats, JValue, Serializer, TypeInfo }
import ru.finagram.api.{ InlineKeyboardMarkup, KeyboardMarkup, ReplyKeyboardMarkup }

object KeyboardMarkupSerializer extends Serializer[KeyboardMarkup] {

  private val KeyboardMarkupClass = classOf[KeyboardMarkup]

  override def deserialize(implicit format: Formats): PartialFunction[(TypeInfo, JValue), KeyboardMarkup] = {
    case (TypeInfo(KeyboardMarkupClass, _), json: JObject) =>
      json.values match {
        case v if v.contains("keyboard") =>
          json.extract[ReplyKeyboardMarkup]
        case v if v.contains("inline_keyboard") =>
          json.extract[InlineKeyboardMarkup]
      }
  }

  override def serialize(implicit format: Formats): PartialFunction[Any, JValue] = PartialFunction.empty
} 

//设置package包名称以及导入依赖的类
package streaming

import java.time.Instant
import javax.websocket.server.ServerEndpoint
import javax.websocket.{OnMessage, Session}

import akka.actor.ActorSystem
import akka.testkit.{TestActorRef, TestKitBase, TestProbe}
import co.coinsmith.kafka.cryptocoin.streaming.{Connect, WebsocketActor}
import org.glassfish.tyrus.test.tools.TestContainer
import org.json4s.JsonAST.JObject
import org.json4s.JsonDSL.WithBigDecimal._
import org.json4s.jackson.JsonMethods._
import org.scalatest.FlatSpecLike

@ServerEndpoint("/WebsocketActorSpec/echoEndpoint")
class EchoEndpoint {
  @OnMessage
  def onMessage(message: String, session: Session) = message
}

class WebsocketActorSpec extends TestContainer with TestKitBase with FlatSpecLike {
  implicit lazy val system = ActorSystem("WebsocketActorSpecSystem")

  val serverEndpoint = new EchoEndpoint
  val uri = getURI(serverEndpoint.getClass)

  "WebsocketActor" should "forward received messages to receiver" in {
    val server = startServer(serverEndpoint.getClass)
    val actorRef = TestActorRef(WebsocketActor.props(uri))
    val probe = TestProbe("probe")

    val json = List.empty
    val expected = JObject(json)

    actorRef ! probe.ref
    actorRef ! Connect
    actorRef ! compact(render(json))
    probe.expectMsgPF() {
      case (_: Instant, expected) => true
      case _ => false
    }

    stopServer(server)
  }
} 

//设置package包名称以及导入依赖的类
package com.github.rcoh.query.render

import org.json4s.JsonAST.{JArray, JObject, JValue}
import com.github.rcoh.query.lang.Query
import com.github.rcoh.query.loaders.{ConcreteLoadable, ExposeAlways, Loadable, LoadableField}


trait RenderError
case class FieldDoesNotExistError(field: String) extends Exception(s"Field $field did not exist in object.")
case class ObjectNotIndexable(field: String, obj: JValue) extends Exception(s"Requested $field but $obj is not indexable.")

object Renderer {
  def render[A: Loadable](obj: A, query: Query): JValue = {
    val concreteLoadable = Loadable.toConcreteLoadable(obj)
    val loadResult = concreteLoadable.load
    val fieldMap = loadResult match {
      case Right(jValue) if query.fields.nonEmpty => throw ObjectNotIndexable(query.fields.head._1, jValue)
      case Right(jValue) => return jValue
      case Left(fields) => fields
    }

    val requestedFields = query.fields.map { case (fieldName, subQuery) =>
        val field = fieldMap.getOrElse(fieldName, throw FieldDoesNotExistError(fieldName))
        field.loader() match {
          case Left(loadable) => fieldName -> render(loadable, subQuery)
          case Right(loadables) => fieldName -> renderList(loadables, subQuery)
        }
    }

    val alwaysExposed = (fieldMap -- query.fields.keySet).collect {
      case (fieldName, LoadableField(ExposeAlways, loader)) => loader() match {
        case Left(loadable) => fieldName -> render(loadable, Query.NoQuery)
        case Right(loadables) => fieldName -> renderList(loadables, Query.NoQuery)
      }
    }
    val resultingMap = requestedFields ++ alwaysExposed
    JObject(resultingMap.toList: _*)
  }

  private def renderList(loadables: Iterable[ConcreteLoadable], query: Query): JArray = {
    val paged = loadables.drop(query.paging.offset).take(query.paging.max)
    val renderedObjects = paged.map(render(_, query))
    JArray(renderedObjects.toList)
  }
} 

//设置package包名称以及导入依赖的类
package com.datawizards.sparklocal.impl.scala.dataset.io

import com.datawizards.dmg.dialects.Dialect
import com.datawizards.dmg.metadata.MetaDataExtractor
import com.datawizards.sparklocal.dataset.io.JSONDialect
import org.json4s.JValue
import org.json4s.JsonAST.JObject

import scala.reflect.runtime.universe.TypeTag


object FieldNamesMappingUtils {
  def constructFieldNameMapping[T: TypeTag](dialect: Dialect, fromOriginal: Boolean=true): Map[String, String] = {
    val classTypeMetaData = MetaDataExtractor.extractClassMetaDataForDialect[T](dialect)
    classTypeMetaData
      .fields
      .map{ f =>
        if(fromOriginal) f.originalFieldName -> f.fieldName
        else f.fieldName -> f.originalFieldName
      }
      .toMap
  }

  def changeJsonObjectFieldNames[T: TypeTag](value: JValue, fromOriginal: Boolean): JValue = value match {
    case JObject(fields) =>
      val fieldNameMapping = FieldNamesMappingUtils.constructFieldNameMapping[T](JSONDialect, fromOriginal)
      JObject(
        fields.map{case (fieldName, fieldValue) =>
          (fieldNameMapping.getOrElse(fieldName, fieldName), fieldValue)
        }
      )
    case other => other
  }
} 

//设置package包名称以及导入依赖的类
package io.kilometer.client

import java.net.URL
import io.kilometer.client.response.ResponseLogger
import io.kilometer.collector._
import org.json4s.Extraction
import org.json4s.JsonAST.JObject

class KilometerClient[T](collector: Collector[T]) extends ResponseLogger {
  implicit val formats = org.json4s.DefaultFormats
  private def urlBuilder(path: String) = new URL("https", collector.hostAddress, collector.hostPort, path)

  private def changeUserProperty(user: String, property: String, value: Long, stateChange: String = "increase") = {
    collector.post(urlBuilder(s"/users/$user/properties/$property/$stateChange/$value"), JObject())
  }

  def addEvent(event: KilometerEvent) = {
    collector.post(urlBuilder("/events"), Extraction.decompose(event))
  }

  def updateUserProperties(user: String, properties: Map[String, String]) = {
    collector.put(urlBuilder(s"/users/$user/properties"), Extraction.decompose(properties))
  }

  def increaseUserProperty(user: String, property: String, value: Long) = {
    changeUserProperty(user, property, value)
  }

  def decreaseUserProperty(user: String, property: String, value: Long) = {
    changeUserProperty(user, property, value, "decrease")
  }
}

case class AnonEvent(event_name: String, event_properties: Map[String, String]) extends KilometerEvent
case class IdentifiedEvent(user_id: String, event_name: String, event_properties: Map[String, String]) extends IdentifiedKilometerEvent 

//设置package包名称以及导入依赖的类
package io.corbel.event.kafka

import akka.NotUsed
import akka.actor.ActorSystem
import akka.kafka.scaladsl.{Consumer, Producer}
import akka.kafka.{ConsumerSettings, ProducerMessage, ProducerSettings, Subscriptions}
import akka.stream.ActorMaterializer
import akka.stream.scaladsl.{Flow, Sink, Source}
import grizzled.slf4j.Logging
import io.corbel.event.{Event, EventBus, SubscriptionProperties}
import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.producer.ProducerRecord
import org.apache.kafka.common.serialization.{ByteArrayDeserializer, ByteArraySerializer, StringDeserializer, StringSerializer}
import org.json4s.DefaultFormats
import org.json4s.JsonAST.JObject
import org.json4s.native.Serialization._


class KafkaEventBus(kafkaServers: String)(implicit system: ActorSystem) extends EventBus with Logging {

  implicit val materializer = ActorMaterializer()
  implicit val format = DefaultFormats

  val producerSettings = ProducerSettings(system, new ByteArraySerializer, new StringSerializer)
    .withBootstrapServers(kafkaServers)

  val consumerSettings = ConsumerSettings(system, new ByteArrayDeserializer, new StringDeserializer)
    .withBootstrapServers(kafkaServers)
    .withProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest")

  override def dispatcher(event: Event): Sink[JObject, NotUsed] = {
      Flow[JObject]
        .map(e => ProducerMessage.Message(new ProducerRecord[Array[Byte], String](event.id, write(e)), e))
        .via(Producer.flow(producerSettings))
        .map(result => {
          val record = result.message.record
          println(s"${record.topic}/${record.partition} ${result.offset}: ${record.value} (${result.message.passThrough}")
          result
        })
        .recover({
          case e: Throwable => e.printStackTrace()
        })
        .to(Sink.last)
    }

  override def subscribe(event: Event, props: SubscriptionProperties): Source[(Event, JObject), _] = {
    val settings = props.toConsumerSettings(consumerSettings)
    val subscription = Subscriptions.topics(event.id)
    Consumer.atMostOnceSource(settings, subscription).map(message => (event, deserialize(message.value)))
  }

  def deserialize(data:String): JObject = {
    read[JObject](data)
  }
}