# frozen_string_literal: true # Methods that calculate something module AICalculate ## # Calculate and return list1 and list2 # * return list1 (Array) List with all the rows from the table # * return list2 (Array) List with similar rows (same table name) from the neighbours tables # @param p_table (Table) def get_list1_and_list2_from(p_table) # create with all the rows from the table list1 = [] count = 1 p_table.rows.each do |i| list1 << { id: count, weight: 0, data: i } count += 1 end # create a with similar rows (same table name) from the neighbours tables list2 = [] concept.neighbors.each do |n| n[:concept].tables.each do |t2| next if t2.name != p_table.name t2.rows.each do |i| list2 << { id: count, weight: 0, data: i } count += 1 end end end [list1, list2] end def calculate_nearness_between_texts(text1, text2) return 0.0 if text2.nil? || text2.empty? words = text1.split(' ') count = 0 words.each { |w| count += 1 if text2.include?(w) } (count * 100 / words.count) end def reorder_list_with_row(list, row) # evaluate every row of the list, and calculate weight magic_number = -300 list.each do |r| if r[:id] == row[:id] r[:weight] = magic_number else value = 0 s = row[:data].count s.times do |i| value += calculate_nearness_between_texts(row[:data][i], r[:data][i]) end value /= s r[:weight] = value end end list.sort! { |a, b| a[:weight] <=> b[:weight] } list.reverse! end end