Ruby CSV library: using converters to clean up data

csv_converters.rb

# given this CSV:
#
# agency_id;award_name;importance;years;description;ignore;is_further_award
# 5683;Deloitte Technology  ;x;2014 2013;Fast 50 (2013), Fast 500 (2014);x;
#
# the following code will return:
#
# #<CSV::Row 
#   agency_id:5683 
#   award_name:"Deloitte Technology" 
#   importance::high 
#   years:"2014, 2013" 
#   description:"Fast 50 (2013), Fast 500 (2014)" 
#   ignore:true 
#   is_further_award:nil
# >

require 'csv'

IMPORTANCE_MAPPING = {'x' => :high, 'o' => :low}

def award_receivals(subset: nil)
  stripper    = lambda { |value| value.to_s.strip }
  make_x_true = lambda { |value| value == "x" ? true : value }
  importance  = lambda do |value, info| 
    info.header == :importance ? IMPORTANCE_MAPPING[value] : value
  end
  options = {
    col_sep:           ';',
    headers:           true,
    converters:        [:integer, stripper, importance, make_x_true],
    header_converters: :symbol
  }
  CSV.read('award_receivals.csv', options)
end

award_receivals.take(5).each do |row|
  p row
end