/*
 * 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 main.scala

import org.apache.spark.{SparkContext, SparkConf}
import org.apache.spark.SparkContext._
import org.apache.spark.graphx._
import org.apache.spark.rdd.RDD

object GraphXApp {
  def main(args: Array[String]) {
    val conf = sys.env.get("SPARK_AUDIT_MASTER") match {
      case Some(master) => new SparkConf().setAppName("Simple GraphX App").setMaster(master)
      case None => new SparkConf().setAppName("Simple Graphx App")
    }
    val sc = new SparkContext(conf)
    SparkContext.jarOfClass(this.getClass).foreach(sc.addJar)

    val users: RDD[(VertexId, (String, String))] =
      sc.parallelize(Array((3L, ("rxin", "student")), (7L, ("jgonzal", "postdoc")),
                           (5L, ("franklin", "prof")), (2L, ("istoica", "prof")),
                           (4L, ("peter", "student"))))
    val relationships: RDD[Edge[String]] =
      sc.parallelize(Array(Edge(3L, 7L, "collab"),    Edge(5L, 3L, "advisor"),
                           Edge(2L, 5L, "colleague"), Edge(5L, 7L, "pi"),
                           Edge(4L, 0L, "student"),   Edge(5L, 0L, "colleague")))
    val defaultUser = ("John Doe", "Missing")
    val graph = Graph(users, relationships, defaultUser)
    // Notice that there is a user 0 (for which we have no information) connected to users
    // 4 (peter) and 5 (franklin).
    val triplets = graph.triplets.map(e => (e.srcAttr._1, e.dstAttr._1)).collect
    if (!triplets.exists(_ == ("peter", "John Doe"))) {
      println("Failed to run GraphX")
      System.exit(-1)
    }
    println("Test succeeded")
  }
}