| 284 |      1 | 
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|  |      2 | import CW7b._
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|  |      3 | 
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|  |      4 | // first test 
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|  |      5 | 
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|  |      6 | 
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|  |      7 | def urban_groupById(ratings: List[(String, String)]) = 
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|  |      8 |   ratings.groupBy(_._1).view.mapValues(_.map(_._2)).toMap 
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|  |      9 | 
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|  |     10 | def urban_get_csv_file(name: String) : List[String] = {
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|  |     11 |   import io.Source
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|  |     12 |   import scala.util._
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|  |     13 |   val csv = Source.fromFile(name)
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|  |     14 |   csv.mkString.split("\n").toList.drop(1)
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|  |     15 | }
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|  |     16 | 
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|  |     17 | def urban_process_ratings(lines: List[String]) : List[(String, String)] = {
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|  |     18 |   for (cols <- lines.map(_.split(",").toList); 
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|  |     19 |        if (cols(2).toFloat >= 4)) yield (cols(0), cols(1))  
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|  |     20 | }
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|  |     21 | 
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|  |     22 | def urban_process_movies(lines: List[String]) : List[(String, String)] = {
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|  |     23 |   for (cols <- lines.map(_.split(",").toList)) yield (cols(0), cols(1))  
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|  |     24 | }
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|  |     25 | 
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|  |     26 | 
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|  |     27 | val urban_good_ratings = process_ratings(urban_get_csv_file("ratings.csv"))
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|  |     28 | val urban_movie_names = process_movies(urban_get_csv_file("movies.csv")).toMap
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|  |     29 | 
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|  |     30 | val urban_ratings_map = urban_groupById(urban_good_ratings)
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|  |     31 | 
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|  |     32 | assert((for (n <- List("1", "2", "3", "4", "5")) yield {
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|  |     33 |   recommendations(urban_ratings_map, urban_movie_names, n).length
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|  |     34 | }) == List(2, 2, 2, 0, 2))
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|  |     35 | 
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