# frozen_string_literal: true # CSV Decision: CSV based Ruby decision tables. # Created December 2017 by Brett Vickers # See LICENSE and README.md for details. module CSVDecision # Dictionary of all this table's columns - inputs, outputs etc. class Columns # Value object to hold column dictionary entries. Entry = Struct.new(:name, :text_only) # TODO: Value object used for any columns with defaults # Default = Struct.new(:name, :function, :default_if) # Dictionary of all data columns. # The key of each hash is the header cell's array column index. # Note that input and output columns can be interspersed and need not have unique names. class Dictionary # Input columns. # @return [Hash{Integer=>Entry}] All input column dictionary entries. attr_accessor :ins # Output columns. # @return [Hash{Integer=>Entry}] All output column dictionary entries. attr_accessor :outs # TODO: Input hash path - optional (planned feature) # attr_accessor :path # TODO: Input columns with a default value (planned feature) # attr_accessor :defaults def initialize @ins = {} @outs = {} # TODO: @path = {} # TODO: @defaults = {} end end # Dictionary of all data columns attr_reader :dictionary # Input columns def ins @dictionary.ins end # Output columns def outs @dictionary.outs end # Input columns with defaults specified (planned feature) # def defaults # @dictionary.defaults # end # Input hash path (planned feature) # def path # @dictionary.path # end # @param table [Table] Decision table being constructed. def initialize(table) # If a column does not have a valid header cell, then it's empty of data. # Return the stripped header row, and remove it from the data array. row = Header.strip_empty_columns(rows: table.rows) # Build a dictionary of all valid data columns from the header row. @dictionary = Header.dictionary(row: row) if row freeze end end end