require "canvas_qti_to_learnosity_converter/questions/question" module CanvasQtiToLearnosityConverter class MatchingQuestion < QuizQuestion def to_learnosity { type: "clozedropdown", stimulus: extract_stimulus(), template: extract_template(), validation: extract_validation(), possible_responses: extract_responses(), duplicate_responses: true, shuffle_options: true, } end def extract_template() @xml.css("item > presentation > response_lid > material > mattext").map do |node| "
#{extract_mattext(node)} {{response}}
" end.join("\n") end def extract_response_idents() @xml.css("item > presentation > response_lid").map do |node| node.attribute("ident").text end end def extract_valid_label_idents(valid_response_idents) valid_response_idents.map do |ident| @xml.css(%{item > resprocessing > respcondition varequal[respident="#{ident}"]}).map do |node| node.content end end.flatten end def extract_validation() valid_response_idents = extract_response_idents() valid_label_idents = extract_valid_label_idents(valid_response_idents) valid_idents = Hash[valid_response_idents.zip(valid_label_idents)] valid_responses = valid_idents.map do |response_ident, label_ident| @xml.css(%{item > presentation > response_lid[ident="#{response_ident}"] response_label[ident="#{label_ident}"] > material > mattext}).map do |node| extract_mattext(node) end end.flatten { "scoring_type" => "partialMatchV2", "rounding" => "none", "valid_response" => { "value" => valid_responses, "score" => extract_points_possible, } } end def extract_responses() @xml.css("item > presentation > response_lid").map do |response| response.css("response_label mattext").map do |node| extract_mattext(node) end end end def add_learnosity_assets(assets, path, learnosity) process_assets!( assets, path, learnosity[:stimulus] ) learnosity end end end