/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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 org.apache.predictionio.examples.similarproduct

import org.apache.predictionio.controller.PPreparator

import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.rdd.RDD

class Preparator
  extends PPreparator[TrainingData, PreparedData] {

  def prepare(sc: SparkContext, trainingData: TrainingData): PreparedData = {
    new PreparedData(
      users = trainingData.users,
      items = trainingData.items,
      viewEvents = trainingData.viewEvents,
      likeEvents = trainingData.likeEvents) // ADDED
  }
}

class PreparedData(
  val users: RDD[(String, User)],
  val items: RDD[(String, Item)],
  val viewEvents: RDD[ViewEvent],
  val likeEvents: RDD[LikeEvent] // ADDED
) extends Serializable