Module: CSVDecision::Parse Private

Defined in:
lib/csv_decision/parse.rb

Overview

This module is part of a private API. You should avoid using this module if possible, as it may be removed or be changed in the future.

Methods to parse the decision table and return CSVDecision::Table object.

Class Method Summary collapse

Class Method Details

.ins_cell_dictionary(columns:, cell:) ⇒ Object

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future. 



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# File 'lib/csv_decision/parse.rb', line 219

def self.ins_cell_dictionary(columns:, cell:)
  return unless cell.is_a?(Matchers::Proc)
  return if cell.symbols.nil?

  add_ins_symbols(columns: columns, cell: cell)
end

.invalid_out_ref?(columns, index, in_out) ⇒ Boolean

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

Returns:

  • (Boolean)

Raises:



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# File 'lib/csv_decision/parse.rb', line 202

def self.invalid_out_ref?(columns, index, in_out)
  return false if in_out < index

  that_column = if in_out == index
                  'reference to itself'
                else
                  "an out of order reference to output column '#{columns.outs[in_out].name}'"
                end
  raise CellValidationError,
        "output column '#{columns.outs[index].name}' makes #{that_column}"
end

.table(data:, options:) ⇒ CSVDecision::Table

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

Parse the CSV file or input data and create a new decision table object.

Parameters:

  • data (Pathname, File, Array<Array<String>>, String) —

    input data given as a CSV file, array of arrays or CSV string.

  • options (Hash) —

    Options hash supplied by the user.

Returns:



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# File 'lib/csv_decision/parse.rb', line 57

def self.table(data:, options:)
  table = CSVDecision::Table.new

  # In most cases the decision table will be loaded from a CSV file.
  table.file = data if Data.input_file?(data)

  parse_table(table: table, input: data, options: options)

  # The table object is now immutable.
  table.columns.freeze
  table.freeze
rescue CSVDecision::Error => exp
  raise_error(file: table.file, exception: exp)
end