require 'csv'
require_relative 'movies'

rows = CSV.read('movies.csv', :headers => true, headers_converter => :symbol, :skip_blanks => true)

# Map
movies = rows.map { |row| Movie.new(row) }

# Select
# In this example, get movies which contain a rotten tomatoes score.
with_rotten_scores = movies.select { |movie| movie.rotten_tomatoes > 0 }

# Reduce
average_rotten_score = with_rotten_scores.reduce(0.0) do |total, movie| 
  total + movie.rotten_tomatoes 
end

# Group By
# In this example, get movie count released  by month
movies_by_month = movies.group_by do |movie|
  movie.release_date.strftime("%B")
end

# Ruby allows you to break an array in the map arguments
count_by_month = movies_by_month.map do |month, list|
  [month, list.size]
end

# Sort By
# Using Ruby symbol to proc shortcut for last
count_by_month_sorted = count_by_month.sort_by(&:last).reverse
count_str = count_by_month.map { |pair| pair.join(": ")}.join("\n")

# Refactor (clean Up via chaining data methods)
count_by_month = movies.group_by do |movie|
  					movie.release_date.strftime("%B")
				end.map do |month, list|
  					[month, list.size]
				end.sort_by(&:last).reverse
count_str = count_by_month.map { |pair| pair.join(": ")}.join("\n")