Cryptic Spray Json错误消息

时间:2015-02-27 06:46:27

标签: json scala spray spray-json

我在尝试解析一些json时收到以下错误消息:

[info]   The future returned an exception of type: spray.httpx.PipelineException, with message: 
Vector("eba760a81b177051b0520418b4e10596955adb98196c15367a2467ab66a19b5c", 600, "AN51SPP6iZBHFJ3aux1jtn6MMMD13Gh3t7", 500,
 ["1BXVXP82f7x9YWdWuCaCYwad8ZoYayyRYt"], "76a91473758c13a91699376abb8fe76931bdd9bdc04ee388ac", false)
 (of class scala.collection.immutable.Vector). (AddressUnspentTXORequestTest.scala:14)

我不确定这意味着什么。这是我要解析的json片段:

[
  {
    "transaction_hash": "eba760a81b177051b0520418b4e10596955adb98196c15367a2467ab66a19b5c",
    "output_index": 1,
    "value": 600,
    "asset_id": "AN51SPP6iZBHFJ3aux1jtn6MMMD13Gh3t7",
    "asset_quantity": 500,
    "addresses": [
      "1BXVXP82f7x9YWdWuCaCYwad8ZoYayyRYt"
    ],
    "script_hex": "76a91473758c13a91699376abb8fe76931bdd9bdc04ee388ac",
    "spent": false,
    "confirmations": 31674
  },
  {
    "transaction_hash": "1f9f6224bee8813135aba622693c78a33b3460e4efdb340174f87fdd8c9d4148",
    "output_index": 1,
    "value": 600,
    "asset_id": "AS6tDJJ3oWrcE1Kk3T14mD8q6ycHYVzyYQ",
    "asset_quantity": 200000,
    "addresses": [
      "1BXVXP82f7x9YWdWuCaCYwad8ZoYayyRYt"
    ],
    "script_hex": "76a91473758c13a91699376abb8fe76931bdd9bdc04ee388ac",
    "spent": false,
    "confirmations": 35895
  }
]

以下是我尝试将其解析为的案例类:

case class UnspentTXO(transaction_hash: String, output_index: Int, value: Long,
  asset_id: Option[String], asset_quantity: Option[Long], addresses: List[BitcoinAddress],
  script_hex: String, spent: Boolean)

启动请求的方法如下:

  def getUnspentTXOs(address: Address): Future[List[UnspentTXO]] = {
    val pipeline: HttpRequest => Future[List[UnspentTXO]] = 
      sendReceive ~> unmarshal[List[UnspentTXO]]
    pipeline(Get(host + path + address.value + "/unspents"))
  }

最后这就是我解析Json Request的方法:

override def read(value: JsValue): UnspentTXO = {

  val Seq(transaction_hash, output_index, locked_satoshies, asset_id, asset_quantity, addresses, script_hex, spent) =
    value.asJsObject.getFields("transaction_hash", "value", "asset_id", "asset_quantity", "addresses", "script_hex", "spent")

  val assetId = asset_id match {
    case JsString(s) => Some(s)
    case JsNull => None
    case _ => throw new RuntimeException("Asset id should be of type JsString or JsNull, got something else")
  }

  val assetQuantity = asset_quantity match {
    case JsNumber(n) => Some(n.toLong)
    case JsNull => None
    case _ => throw new RuntimeException("Asset quantity should  be JsNull or a JsNumber")
  }

  // convert JsArray to List[ BitcoinAdress ]
  val addressList = addresses match {
    case ja: JsArray => {
      ja.elements.toList.map( e => BitcoinAddress(e.convertTo[String]))
    }
    case _ => throw new RuntimeException("address list should be of type JsArray, got something else")
  }

  UnspentTXO(transaction_hash.convertTo[String], output_index.convertTo[Int], locked_satoshies.convertTo[Long],
    assetId, assetQuantity, addressList,
    script_hex.convertTo[String], spent.convertTo[Boolean])

}

我认为问题可能是请求返回一个json数组而不仅仅是一个JSON对象,所以我不确定我是否在getUnspentTXOs内正确处理。错误消息似乎很模糊。似乎spray正在尝试将json字段包装在Vector内而不是UnspentTXO case类中。我不知道为什么会发生这种情况。

1 个答案:

答案 0 :(得分:2)

您不能只拨打convertTo[ Option[ Long ] ]convertTo[ List [ BitcointAddress ] ]

这是convertTo的定义方式,

def convertTo[T :JsonReader]: T = jsonReader[T].read(this)

这意味着......只有T implicit typeclass JsonReader[ T ]证据的convertTo类型可以与implicit typeclass一起使用。

除非您提供适当的spray-json证据,否则您必须专门处理少数案件。

除此之外,JsObject过于简约......所以Map[ String, JsValue]只是getFields之上的包装,而 def getFields(fieldNames: String*): immutable.Seq[JsValue] = fieldNames.flatMap(fields.get)(collection.breakOut) 被定义为,< / p>

JsValue

这意味着......它只会忽略其中没有地址的问题字段,并且只返回与所提出的字段相对应的override def read(value: JsValue): UnspentTXO = { val jsObject = value.asJsObject // get only non-optional values here val Seq( transaction_hash, output_index, locked_satoshies, addresses, script_hex, spent ) = jsObject.getFields( "transaction_hash", "output_index", "value", "addresses", "script_hex", "spent" ) // Assuming you have imported spray.json._, simple types will work. // have to handle options differently // or 2 optional values would mean 4 patterns-matchings of sequences like above. // jsObject.fields is just a Map[ String, JsValue ] val assetId = jsObject.fields.get( "asset_id" ) match { case Some( JsString( s ) ) => Some( s ) case None => None } val assetQuantity = jsObject.fields.get( "asset_quantity" ) match { case Some( JsNumber( n ) ) => Some( n.toLong ) case None => None } // convert JsArray to List[ BitcoinAdress ] val addressList = addresses match { case ja : JsArray => { ja.elements.toList.map( BitcoinAddress( _.convertTo[ String ] ) ) } } UnspentTXO( transaction_hash.convertTo[ String ], output_index.convertTo[ Int ], locked_satoshies.convertTo[ Long ], assetId, assetQuantity, addressList, script_hex.convertTo[ String ], spent.convertTo[ Boolean ] ) } 序列。

因此必须检查可选值是否存在于地图中。或者我们将不得不针对每种可能的情况进行模式匹配(这可能导致很多情况)。

convertTo[ Option[ T ] ]

convertTo[ List[ T ] ]spray.json.DefaultJsonProtocol._工作的另一种方法是导入implicit,它为大多数常用类型提供json格式。但即便如此,您的范围内必须有typeclass JsonReader[ T ] {{1}}的证据。