testing2/danube_test6.scala
author Christian Urban <urbanc@in.tum.de>
Sun, 03 Nov 2019 14:42:17 +0000
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import CW7b._
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// first test 
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def urban_groupById(ratings: List[(String, String)]) = 
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  ratings.groupBy(_._1).view.mapValues(_.map(_._2)).toMap 
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def urban_get_csv_file(name: String) : List[String] = {
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  import io.Source
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  import scala.util._
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  val csv = Source.fromFile(name)
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  csv.mkString.split("\n").toList.drop(1)
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}
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def urban_process_ratings(lines: List[String]) : List[(String, String)] = {
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  for (cols <- lines.map(_.split(",").toList); 
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       if (cols(2).toFloat >= 4)) yield (cols(0), cols(1))  
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}
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def urban_process_movies(lines: List[String]) : List[(String, String)] = {
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  for (cols <- lines.map(_.split(",").toList)) yield (cols(0), cols(1))  
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}
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val urban_good_ratings = process_ratings(urban_get_csv_file("ratings.csv"))
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val urban_movie_names = process_movies(urban_get_csv_file("movies.csv")).toMap
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val urban_ratings_map = urban_groupById(urban_good_ratings)
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assert((for (n <- List("1", "2", "3", "4", "5")) yield {
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  recommendations(urban_ratings_map, urban_movie_names, n).length
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}) == List(2, 2, 2, 0, 2))
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