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 * Licensed to the Apache Software Foundation (ASF) under one
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 * 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,
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 * See the License for the specific language governing permissions and
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package org.apache.flink.training.exercises.hourlytips.scala

import org.apache.flink.streaming.api.TimeCharacteristic
import org.apache.flink.streaming.api.scala._
import org.apache.flink.training.exercises.common.sources.TaxiFareGenerator
import org.apache.flink.training.exercises.common.utils.ExerciseBase._
import org.apache.flink.training.exercises.common.utils.{ExerciseBase, MissingSolutionException}

/**
  * The "Hourly Tips" exercise of the Flink training in the docs.
  *
  * The task of the exercise is to first calculate the total tips collected by each driver, hour by hour, and
  * then from that stream, find the highest tip total in each hour.
  *
  */
object HourlyTipsExercise {

  def main(args: Array[String]) {

    // set up streaming execution environment
    val env = StreamExecutionEnvironment.getExecutionEnvironment
    env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
    env.setParallelism(ExerciseBase.parallelism)

    // start the data generator
    val fares = env.addSource(fareSourceOrTest(new TaxiFareGenerator()))

    throw new MissingSolutionException()

   // print result on stdout
//    printOrTest(hourlyMax)

    // execute the transformation pipeline
    env.execute("Hourly Tips (scala)")
  }

}