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AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning
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/*
* Copyright (c) 2017, Salesforce.com, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the name of the copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package com.salesforce.op.features
import com.salesforce.op.features.types._
import com.salesforce.op.stages.{OPStage, OpPipelineStage}
import org.json4s.JsonAST.{JObject, JValue}
import org.json4s.JsonDSL._
import org.json4s.jackson.JsonMethods
import org.json4s.jackson.JsonMethods._
import org.json4s.{DefaultFormats, Formats}
import scala.reflect.runtime.universe.WeakTypeTag
import scala.util.Try
/**
* Feature Json helper class allowing to/from Json marshalling of a single feature instance
*/
object FeatureJsonHelper {
implicit val jsonFormats: Formats = DefaultFormats
/**
* Convert this feature to json object
*
* @return json object for feature
*/
def toJson(f: OPFeature): JObject = {
("typeName" -> f.typeName) ~
("uid" -> f.uid) ~
("name" -> f.name) ~
("isResponse" -> f.isResponse) ~
("originStage" -> f.originStage.uid) ~
("parents" -> f.parents.map(_.uid))
}
/**
* Convert this feature to json string
*
* @param pretty should pretty print
* @return json string for feature
*/
def toJsonString(f: OPFeature, pretty: Boolean = false): String = {
val json = render(toJson(f))
if (pretty) JsonMethods.pretty(json) else compact(json)
}
/**
* Convert json back into a feature instance
*
* @param json a json string of a single feature
* @param stages a map of all op pipeline stages by uid
* @param features a map of all op pipeline features by uid
*
* @return new feature instance
*/
def fromJsonString(
json: String,
stages: Map[String, OPStage],
features: Map[String, OPFeature]
): Try[OPFeature] = {
for {
json <- Try(parse(json).asInstanceOf[JObject])
feature <- fromJson(json, stages, features)
} yield feature
}
/**
* Convert json back into a feature instance
*
* @param json a json value of a single feature
* @param stages a map of all op pipeline stages by uid
* @param features a map of all op pipeline features by uid
*
* @return new feature instance
*/
def fromJson(
json: JValue,
stages: Map[String, OPStage],
features: Map[String, OPFeature]
): Try[OPFeature] = Try {
val typeName = (json \ "typeName").extract[String]
val uid = (json \ "uid").extract[String]
val name = (json \ "name").extract[String]
val isResponse = (json \ "isResponse").extract[Boolean]
val originStageUid = (json \ "originStage").extract[String]
val parentUids = (json \ "parents").extract[Array[String]]
val originStage: Option[OPStage] = stages.get(originStageUid)
if (originStage.isEmpty) {
throw new RuntimeException(s"Origin stage $originStageUid not found for feature $name ($uid)")
}
// Order is important and so are duplicates, eg f = f1 + f1 has 2 parents but both the same feature
val parents: Seq[OPFeature] = parentUids.flatMap(id => features.get(id))
if (parents.length != parentUids.length) {
throw new RuntimeException(s"Not all the parent features were found for feature $name ($uid)")
}
val wtt = FeatureType.featureTypeTag(typeName).asInstanceOf[WeakTypeTag[FeatureType]]
Feature[FeatureType](
uid = uid,
name = name,
isResponse = isResponse,
parents = parents,
originStage = originStage.get.asInstanceOf[OpPipelineStage[FeatureType]]
)(wtt = wtt)
}
}