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/*
 * 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.spark.streaming

import scala.reflect.ClassTag

import org.apache.spark.ml.feature.HivemallLabeledPoint
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{DataFrame, Row, SQLContext}
import org.apache.spark.streaming.dstream.DStream

final class HivemallStreamingOps(ds: DStream[HivemallLabeledPoint]) {

  def predict[U: ClassTag](f: DataFrame => DataFrame)(implicit sqlContext: SQLContext)
      : DStream[Row] = {
    ds.transform[Row] { rdd: RDD[HivemallLabeledPoint] =>
      f(sqlContext.createDataFrame(rdd)).rdd
    }
  }
}

object HivemallStreamingOps {

  /**
   * Implicitly inject the [[HivemallStreamingOps]] into [[DStream]].
   */
  implicit def dataFrameToHivemallStreamingOps(ds: DStream[HivemallLabeledPoint])
      : HivemallStreamingOps = {
    new HivemallStreamingOps(ds)
  }
}