
io.prediction.data.storage.Models.scala Maven / Gradle / Ivy
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/** Copyright 2015 TappingStone, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package io.prediction.data.storage
import com.google.common.io.BaseEncoding
import io.prediction.annotation.DeveloperApi
import org.json4s._
/** :: DeveloperApi ::
* Stores model for each engine instance
*
* @param id ID of the model, which should be the same as engine instance ID
* @param models Trained models of all algorithms
* @group Model Data
*/
@DeveloperApi
case class Model(
id: String,
models: Array[Byte])
/** :: DeveloperApi ::
* Base trait for of the [[Model]] data access object
*
* @group Model Data
*/
@DeveloperApi
trait Models {
/** Insert a new [[Model]] */
def insert(i: Model): Unit
/** Get a [[Model]] by ID */
def get(id: String): Option[Model]
/** Delete a [[Model]] */
def delete(id: String): Unit
}
/** :: DeveloperApi ::
* JSON4S serializer for [[Model]]
*
* @group Model Data
*/
@DeveloperApi
class ModelSerializer extends CustomSerializer[Model](
format => ({
case JObject(fields) =>
implicit val formats = DefaultFormats
val seed = Model(
id = "",
models = Array[Byte]())
fields.foldLeft(seed) { case (i, field) =>
field match {
case JField("id", JString(id)) => i.copy(id = id)
case JField("models", JString(models)) =>
i.copy(models = BaseEncoding.base64.decode(models))
case _ => i
}
}
},
{
case i: Model =>
JObject(
JField("id", JString(i.id)) ::
JField("models", JString(BaseEncoding.base64.encode(i.models))) ::
Nil)
}
))
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