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package algorithmia.TechSupport | |
import algorithmia.TechSupport.Classes.DataPoint | |
import argonaut.Argonaut._ | |
import argonaut.CodecJson | |
import argonaut._ | |
/** | |
* Created by james on 05/01/17. | |
*/ | |
sealed trait Input | |
//TODO: Learn how implicits and type inference work, because this is some weird shit. | |
//also talk to Jacoby6000 on irc. | |
object Input { | |
implicit def inputCodec: CodecJson[Input] = { | |
def encoder(data: Input): Json = | |
data match { | |
case train: Train => Train.trainCodec.encode(train) | |
case predict: Predict => Predict.predictCodec.encode(predict) | |
} | |
def decoder(json: HCursor): DecodeResult[Input] = { | |
val result = | |
for { | |
_ <- Predict.predictCodec.decode(json).map[Input](a => a).result.flip | |
lastOne <- Train.trainCodec.decode(json).map[Input](a => a).result.flip | |
} yield lastOne | |
result.fold(DecodeResult.ok(_), DecodeResult.fail(_, _).tupled | |
} | |
CodecJson[Input](encoder, decoder) | |
} | |
} | |
case class Train(labelData: Option[List[DataPoint]], labelFile: Option[String], namespace: Option[String]) extends Input | |
case class Predict(text: String, namespace: Option[String]) extends Input | |
object Train{ | |
implicit def trainCodec: CodecJson[Train] = | |
casecodec3(Train.apply, Train.unapply)( | |
"labelData", | |
"labelFile", | |
"namespace" | |
) | |
} | |
object Predict{ | |
implicit def predictCodec: CodecJson[Predict] = | |
casecodec2(Predict.apply, Predict.unapply)( | |
"text", | |
"namespace" | |
) | |
} |
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