class HncCancerPredictfields require "pathname" require 'json' include Mongoid::Document include Mongoid::Timestamps Field_relations = {"number_field"=>"Fixnum","text_area"=>"String"} FIELDINFO = {"variable"=>"String","name"=>"String","is_num"=>"Fixnum","hint"=>"String","comment_text"=>"String","choice_fields"=>"Array","range"=>"Array","right"=>"Fixnum","is_float"=>"Fixnum","revert_value"=>"Fixnum","map_values"=>"Array","hnc_cancer_predict_mapping_file"=>"String","lpv_impact"=>"Float","active_choice"=>"number_field","disable_condition"=>"text_area"} NonLoclaized = ["variable","is_num","range","right","is_float","revert_value","map_values","hnc_cancer_predict_mapping_file","lpv_impact","active_choice","disable_condition"] AdvanceFields = ["revert_value","map_values","hnc_cancer_predict_mapping_file"] TherapyFields = ["variable","name","hint","comment_text","choice_fields","lpv_impact","active_choice","disable_condition"] TherapyOnly = ["lpv_impact","active_choice","disable_condition"] JSFileName = "public/hnc_tool_js_filename.txt".freeze ToolTableMap = I18n.available_locales.map do |locale| [locale, "public/hnc_tool_table_tmp_#{locale}.txt".freeze] end.to_h field :title ,type:String ,default:"" field :advance_mode, type: Boolean, default: false field :form_show , :type=> Hash ,default:{ "0"=>{"variable"=>"age", "name"=>{"zh_tw"=>"年齡
(Age)", "en"=>"Age"}, "is_num"=>1, "hint"=>{"zh_tw"=>"從 20 歲(含)開始至 80 歲", "en"=>"Age must be between 20 and 80"}, "comment_text"=>{"zh_tw"=>"年齡為該病人於確診罹患頭頸癌時之年齡", "en"=>"Age at diagnosis"}, "choice_fields"=>{"zh_tw"=>[], "en"=>[]}, "range"=>[20, 80], "right"=>0, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]}, "1"=>{"variable"=>"size", "name"=>{"zh_tw"=>"腫瘤大小(單位:mm)
(Tumor size)", "en"=>"Tumor size"}, "is_num"=>1, "hint"=>{"zh_tw"=>"", "en"=>"The unit of tumor size is millimeter (mm)"}, "comment_text"=>{"zh_tw"=>"若有多個原發腫瘤,請輸入最大尺寸之原發腫瘤、上限為 100mm", "en"=>"If there was more than one primary tumor, please enter the size of the largest one."}, "choice_fields"=>{"zh_tw"=>[], "en"=>[]}, "range"=>[1, 100], "right"=>0, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]}, "2"=>{"variable"=>"height", "name"=>{"zh_tw"=>"身高(單位:公分)
(Height)", "en"=>"Height(cm)"}, "is_num"=>1, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>[], "en"=>[]}, "range"=>[140, 200], "right"=>0, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]}, "3"=>{"variable"=>"weight", "name"=>{"zh_tw"=>"體重(單位:公斤)
(Weight)", "en"=>"Weight(kg)"}, "is_num"=>1, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>[], "en"=>[]}, "range"=>[40, 130], "right"=>0, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]}, "4"=>{"variable"=>"pstage", "name"=>{"zh_tw"=>"病理分期
(Pathological stage)", "en"=>"Pathological stage"}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"若無分期資訊,請選擇“未知”選項,將以分期第 1 期進行預測。", "en"=>"Please select “unknown” if there is no information about “Pathological stage”. The prediction model would use “1th stage” as the alternative variable."}, "choice_fields"=>{"zh_tw"=>["1", "2", "3", "4", "未知"], "en"=>["1", "2", "3", "4", "unknown"]}, "range"=>[], "right"=>0, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]}, "5"=>{"variable"=>"sex", "name"=>{"zh_tw"=>"性別
(Sex)", "en"=>"Sex"}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["男", "女"], "en"=>["Male", "Female"]}, "range"=>[], "right"=>1, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]}, "6"=>{"variable"=>"site", "name"=>{"zh_tw"=>"腫瘤部位
(Tumor site)", "en"=>"Tsumor site"}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["口腔", "口咽", "下咽", "唾液腺", "喉"], "en"=>["Oral cavity", "Oropharynx", "Hypopharynx", "Salivary glands", "Larynx"]}, "range"=>[], "right"=>1, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]}, "7"=>{"variable"=>"lymph", "name"=>{"zh_tw"=>"被侵犯頸部淋巴結之最大直徑
(Maximum lymph node diameter)", "en"=>"Maximum lymph node diameter"}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"此請填入被侵犯頸部淋巴結紀錄中之最大徑,若無頸部淋巴結被侵犯資訊,請選擇“未知”選項,將以無侵犯類別進行預測。", "en"=>"Please fill in the maximum lymph node diameter here. If there is no information about this, please select the “Unknown” option, and prediction will be made as no metastasis."}, "choice_fields"=>{"zh_tw"=>["無侵犯", "1-9 mm", "10-19 mm", "20-29 mm", "30-39 mm", "40-49 mm", "50-59 mm", ">= 60 mm", "未知"], "en"=>["No metastasis", "1-9 mm", "10-19 mm", "20-29 mm", "30-39 mm", "40-49 mm", "50-59 mm", ">= 60 mm", "unknown"]}, "range"=>[], "right"=>1, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]}, "8"=>{"variable"=>"drinking", "name"=>{"zh_tw"=>"喝酒行為
(Alcohol consumption)", "en"=>"Alcohol consumption"}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"請依據診斷日前一年內喝酒行為填入。", "en"=>"Please fill in the information based on your drinking behavior within one year before this diagnosis."}, "choice_fields"=>{"zh_tw"=>["從未喝酒", "偶爾喝", "習慣性喝酒"], "en"=>["Never", "Sometime", "Usually"]}, "range"=>[], "right"=>1, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]}, "9"=>{"variable"=>"smoking", "name"=>{"zh_tw"=>"吸菸行為
(Tobacco smoking)", "en"=>"Tobacco smoking"}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"請依據診斷日前一年內吸菸行為填入。", "en"=>"Please fill in the information based on your smoking behavior within one year before this diagnosis."}, "choice_fields"=>{"zh_tw"=>["沒有", "有"], "en"=>["No", "Yes"]}, "range"=>[], "right"=>1, "is_float"=>0, "need_map_values"=>0, "revert_value"=>0, "map_values"=>[]} } field :form_show_in_result , :type=> Hash ,default: { "1"=>{"variable"=>"Chemotherapy", "name"=>{"zh_tw"=>"化學治療", "en"=>"Chemotherapy"}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["否", "是"], "en"=>["No", "Yes"]}, "range"=>[], "right"=>0, "is_float"=>0, "revert_value"=>0, "map_values"=>"", "active_choice"=>2, "disable_condition"=>"", "lpv_impact"=>0.15613}, "2"=>{"variable"=>"Radiotherapy", "name"=>{"zh_tw"=>"放射治療", "en"=>"Radiotherapy"}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["否", "是"], "en"=>["No", "Yes"]}, "range"=>[], "right"=>0, "is_float"=>0, "revert_value"=>0, "map_values"=>"", "active_choice"=>2, "disable_condition"=>"", "lpv_impact"=>-0.34129} } field :form_result_is_right , :type=> Integer ,default: 0 field :text_descibe ,type:Hash ,default: { "zh_tw"=>"歡迎使用台灣準備頭頸癌預後系統!
\r\n本預測系統由台灣癌症登記資料庫2013至2018年間共49,137位頭頸癌病人所建立。
\r\n若要開始 請在下方選擇相關資訊", "en"=>"Welcome to the Taiwan Head and Neck Cancer Prediction System!
\r\nThe prediction system is constructed using clinical data from 49,137 head and neck cancer patients in the Taiwan Cancer Registry database between 2013 to 2018.
\r\nTo start, please select the information below." } field :small ,type:Hash ,default:{'font_size'=>"0.825em",'active'=>0} field :medium ,type:Hash ,default:{'font_size'=>"1em",'active'=>1} field :large ,type:Hash ,default:{'font_size'=>"1.25em",'active'=>0} field :hnc_head_images_id ,type:Array , default: [] field :title_images_id ,type:Array , default: [] field :title_texts ,type:Hash ,default: {"zh_tw"=>"頭頸癌症線上預測工具", "en"=>"Predict Head and Neck Cancer Tool"} field :table_above_texts ,type:Hash ,default: {"zh_tw"=>"下表之分析為針對手術後病人,根據選定的術後治療,分別估計在第1年、3 及5年的存活率。", "en"=>"The analysis is for women who had undergone surgery.The table shows the 1-, 3- and 5-year survival rates,based on the treatment you have selected."} field :text_above_texts ,type:Hash ,default: {"zh_tw"=>"此研究分析來自已接受根除性手術後之婦女所得之結果,根據您所輸入的資訊以及治療方式,在術後
第{{years}}年,", "en"=>"The analysis is for women who had undergone surgery. Base on the information and the treatment you have selected, the predictions of survival status
{{years}}"} field :surgery_only_texts ,type:Hash ,default: {"zh_tw"=>"100 位只接受根除性手術的婦女中,有{{Surgery_only}}位婦女,術後{{surgery_year}}年仍為存活", "en"=>"after surgery are as follows:
{{Surgery_only}} out of 100 women treated with surgery only are alive at {{surgery_year}} years."} field :extra_texts ,type:Hash ,default: {"zh_tw"=>",此外", "en"=>""} field :extra_therapy_texts ,type:Hash ,default: {"zh_tw"=>"100 位在術後有接受{{extra_therapy}}的婦女中,有{{survival_num}}位婦女,術後{{surgery_year}}年仍為存活(多了{{Additional_Benefit}}位)", "en"=>"{{survival_num}} out of 100 women treated with {{extra_therapy}} are alive (an extra {{Additional_Benefit}})"} field :danger_texts ,type:Hash ,default: {"zh_tw"=>"請注意紅框的輸入資料是否符合要求!", "en"=>"Please check whether input data in red blocks are correct!"} field :years ,type:Array ,default:[1,3,5] field :texts_between_Result_and_result_block ,type:Hash ,default: {"zh_tw"=>"如果欲將預測結果應用於臨床上,請務必與您的主治醫師討論後再做最後決定。化學治療為高期數頭頸癌常規治療,本係數估計會有失真現象,請謹慎使用並考慮干擾因子效應。", "en"=>"Please note that the patients need to consult with their medical doctors before making any decision.As chemotherapy is the standard treatment of high grade head and neck cancer patients, the estimation of the coefficient in chemotherapy may be biased. Please be careful about the interpretation of the results and seriouly consider the confounding factors."} #field :image_uploader ,type:Object field :prediction_formula , type: String ,default: "lpv = ((age-56.13649)*0.00542+(size-26.24087)*0.01555+(bmi-24.71561)*(-0.03777)+ pstage_2*0.22023+pstage_3*0.11253+pstage_4*0.74585+ sex_ind*(-0.29218)+site_oralph*0.15131+site_hyph*(-0.18040)+site_sal*(-0.32440)+site_lary*(-0.19674)+ lymph_1*0.69354+lymph_2*0.85665+lymph_3*0.92695+lymph_4*0.93122+lymph_5*0.72533+ lymph_6*1.12371+lymph_7*1.13236+drink_ind*0.12961+smoke_ind*(-0.17848)+chemo*(0.15613)+radio*(-0.34129) )" field :years_settings , type: Array , default: ["exp(-0.03639284)^( exp(lpv) )","exp(-0.08738490)^( exp(lpv) )","exp(-0.10683094)^( exp(lpv) )"] field :tmp_years_settings , type: Array , default: [] field :tmp_years_settings_for_ruby , type: Array , default: [] field :hidden_variables, type: String, default: "bmi = weight / ((height / 100.0) ^ 2) pstage_2 = (pstage == 2) ? 1 : 0 pstage_3 = (pstage == 3) ? 1 : 0 pstage_4 = (pstage == 4) ? 1 : 0 sex_ind = (sex == 2) ? 1 : 0 site_oralph = (site == 2) ? 1 : 0 site_hyph = (site == 3) ? 1 : 0 site_sal = (site == 4) ? 1 : 0 site_lary = (site == 5) ? 1 : 0 lymph_1 = (lymph == 2) ? 1 : 0 lymph_2 = (lymph == 3) ? 1 : 0 lymph_3 = (lymph == 4) ? 1 : 0 lymph_4 = (lymph == 5) ? 1 : 0 lymph_5 = (lymph == 6) ? 1 : 0 lymph_6 = (lymph == 7) ? 1 : 0 lymph_7 = (lymph == 8) ? 1 : 0 drink_ind = (drinking == 1) ? 0 : 1 smoke_ind = (smoking == 1) ? 0 : 1 chemo = (Chemotherapy == 2) ? 1 : 0 radio = (Radiotherapy == 2) ? 1 : 0 " field :fix_hidden_variables, type: Array, default: [] field :tmp_hidden_variables_for_ruby, type: String, default: "" field :tmp_hidden_variables_for_js, type: String, default: "" field :lpv_calc, type: Hash, default: {} #for js code field :tmp_lpv_ruby_code, type: String, default: "" field :tmp_lpv_variables, type: Array, default: [] field :mapping_data_from_csv , type: String ,default: "" field :all_variables, type: Array, default: [] field :treatment_method, type: Array, default: ['Surgery_only'] field :treatment_method_active_indices, type: Array, default: [1] field :result_table, type: String, default: "", localize: true field :result_text, type: String, default: "", localize: true field :therapy_lpv, type: Array, default: [0] #before_create :set_expire before_save do self.form_show.each do |num,property| property[:need_map_values] = (property[:map_values].class == Array && property[:choice_fields].class == Array && property[:map_values].length == property[:choice_fields].length) ? 1 : 0 end result_keys = [] self.form_show.each do |num,property| variable_name = property[:variable] if variable_name.present? result_keys << variable_name end end self.form_show_in_result.each do |num,property| variable_name = property[:variable] if variable_name.present? result_keys << variable_name end end mapping_data = JSON.parse(self.mapping_data_from_csv) rescue {} if self.advance_mode && mapping_data.present? mapping_data.each do |k,v| result_keys += (v.keys rescue []) end end result_keys = result_keys.uniq self.all_variables = result_keys formula = text_to_math(self.prediction_formula) tmp_hidden_variables = text_to_math(self.hidden_variables) result_keys.each do |k| formula = formula.gsub(/(\A|[^\w])#{k}($|[^\w])/){|f| "#{$1}result[\"#{k.strip}\"]#{$2}" } tmp_hidden_variables = tmp_hidden_variables.gsub(/(\A|[^\w])#{k}($|[^\w])/){|f| "#{$1}result[\"#{k.strip}\"]#{$2}" } end self.tmp_hidden_variables_for_js = tmp_hidden_variables.rstrip.gsub(/\n\s+/,"\n ").gsub("\n",";\n") + ";" self.fix_hidden_variables = [] self.tmp_hidden_variables_for_ruby = tmp_hidden_variables.split(/^([^=!]+)=([^=!])/).select{|s| s.present?}.each_slice(2).map do |a,b| a = a.strip self.fix_hidden_variables << a if b ("result[\"#{a}\"]=" + b.gsub("\n","")) else a end end.join("\n") self.fix_hidden_variables = self.fix_hidden_variables.uniq formula = formula.split(/^([^=!]+)=([^=!])/).select{|s| s.present?}.each_slice(2).map do |a,b| a = a.strip if b ("result[\"#{a}\"]=" + b.gsub("\n","")) else a end end.join("\n") self.fix_hidden_variables.each do |v| formula = formula.gsub(/(\A|[^\w\"])#{v}($|[^\w])/){|f| "#{$1}result[\"#{v.strip}\"]#{$2}"} self.tmp_hidden_variables_for_ruby = self.tmp_hidden_variables_for_ruby.gsub(/(\A|[^\w\"])#{v}($|[^\w])/){|f| "#{$1}result[\"#{v.strip}\"]#{$2}"} end self.tmp_lpv_ruby_code = formula formula_variables = formula.enum_for(:scan,/([^\=\(\)]+)?=[^=]/).map {|x| x[-1] }.compact.map{|s| s.strip[8..-3]} self.tmp_lpv_variables = formula_variables self.tmp_years_settings = self.years_settings.map do |s| text_to_math(s) end self.tmp_years_settings_for_ruby = self.tmp_years_settings.clone formula_variables.each do |variable_name| self.tmp_years_settings_for_ruby = self.tmp_years_settings_for_ruby.map do |y| y.gsub(variable_name,"result[\"#{variable_name}\"]") end end self.treatment_method = ['Surgery_only'] self.form_show_in_result.values.each do |choice| variable = choice["variable"] if variable.present? self.treatment_method << variable end end tmp_table_translations = {} tmp_text_translations = {} @years = self.years @head_name = ['Treatment','Additional_Benefit','Overall_Survival'] # @head_name = ['Treatment','Overall_Survival'] @therapy_names = self.treatment_method I18n.available_locales.each do |locale| I18n.with_locale(locale) do @table_head = @head_name.map{|name| I18n.t('hnc_cancer_predict.table.'+name)} @therapy_choices = [I18n.t('hnc_cancer_predict.table.Surgeryonly')] self.form_show_in_result.values.each{|choice| @therapy_choices.push choice["name"][locale].to_s} tmp_table = "#{I18n.t("hnc_cancer_predict.table.table")}
" tmp_table += '

'+self.table_above_texts[locale].to_s+'

' tmp_table += (''+(locale.to_s == 'zh_tw' ? '第' : '')+'') @years.each{|year| tmp_table += ('')} tmp_table += (''+(locale == 'zh_tw' ? '年' : '')+'') tmp_table += '' @table_head.each_with_index{|head,index| tmp_table += ('')} tmp_table += '' @therapy_choices.each_with_index do |choice,i| tmp_table += '' @table_head.each_with_index do |head,index| tmp_table += ('') end tmp_table += '' end tmp_table_translations[locale] = tmp_table @texts = self.text_above_texts[locale].to_s.gsub('
','
').gsub('{{Surgery_only}}','') @texts = @texts.split('{{years}}') @texts.delete('') tmp_text = "#{I18n.t("hnc_cancer_predict.table.text")}
" tmp_text += (''+@texts[0].to_s) @years.each{|year| tmp_text += ('')} if @texts.count > 1 tmp_text += (@texts[1]+'') if @texts.count > 1 else tmp_text += '
' end if !self.surgery_only_texts[locale].blank? @surgery_only_texts = self.surgery_only_texts[locale] @surgery_only_texts.insert(0,'

') @surgery_only_texts = @surgery_only_texts.gsub('{{Surgery_only}}','') @surgery_only_texts = @surgery_only_texts.gsub('{{surgery_year}}',''+@years[-1].to_s+'') @surgery_only_texts += '' else @surgery_only_texts = '' end tmp_text += @surgery_only_texts tmp_text += ''+(self.extra_texts[locale].to_s rescue '')+'

' tmp_text_translations[locale] = tmp_text end end self.result_table_translations = tmp_table_translations self.result_text_translations = tmp_text_translations self.treatment_method_active_indices = [1] self.form_show_in_result.each do |num, property| v = property[:active_choice] if v.present? self.treatment_method_active_indices << (v - 1) else self.treatment_method_active_indices << 1 end end self.lpv_calc = get_years_settings_dict self.generate_eval_formula end def reload_any_asset(path, type=nil, force_reload=false) env = Rails.application.assets new_env = Sprockets::Environment.new(Rails.root.to_s) do |env| env.version = ::Rails.env tmp_path = "#{Rails.application.config.root}/tmp/cache/assets/#{::Rails.env}" env.cache = ::Sprockets::Cache::FileStore.new(tmp_path) env.context_class.class_eval do include ::Sprockets::Rails::Helper end end new_env.config = env.config stats = env.cached.instance_variable_get(:@stats) new_path = path.sub(/\.erb$/,'') if force_reload || (stats && stats[path]) #Need reload asset if type.nil? ext = File.extname(new_path) env.mime_types.each do |t, h| if h[:extensions].include?(ext) type = t break end end end if type full_path = 'file://'+path+'?type='+type uris = env.cached.instance_variable_get(:@uris) keys = uris.keys.select{|k| k.include?(full_path)} asset = new_env.load(full_path) if keys.count != 0 keys.each do |k| uris[k] = asset end end new_path = new_path.sub(/\.[^.]+$/){|ext| '-' + asset.digest + ext} File.binwrite(new_path, asset.to_s) yield new_path if block_given? end end end def reload_js_asset(path, force_reload=false) reload_any_asset(path, 'application/javascript', force_reload) do |new_path| File.open(JSFileName, 'w+'){|f| f.write(new_path)} end end def generate_eval_formula eval_hidden_variables = "def eval_hidden_variables(result); #{self.tmp_hidden_variables_for_ruby}; end" HncCancerPredictsController.module_eval(eval_hidden_variables) eval_formula = "def eval_formula(result); #{self.tmp_lpv_ruby_code}; end" HncCancerPredictsController.module_eval(eval_formula) end def generate_jscode js_code = "var map_values , mapping_hash , temp_index ,temp_value , index , closest_value;\r\n" mapping_data_from_csv = JSON.parse(self.mapping_data_from_csv) rescue {} tmp_hash = self.form_show.values + self.form_show_in_result.values tmp_hash.each do |property| @variable = property[:variable] if @variable.present? if property[:is_num] == 1 js_code += " result['#{@variable}'] = Number(result_json['#{@variable}']);\r\n" elsif property[:choice_fields].present? if !(self.advance_mode) js_code += " result['#{@variable}'] = Number(result_json['#{@variable}']);\r\n" else if property[:need_map_values] == 1 js_code += " map_values = #{property[:map_values]};\r\n" js_code += " result['#{@variable}'] = map_values[Number(result_json['#{@variable}'']) - 1];\r\n" else if property[:revert_value] != 1 js_code += " result['#{@variable}'] = Number(result_json['#{@variable}']) - 1;\r\n" else js_code += " result['#{@variable}'] = (#{property[:choice_fields].length} - Number(result_json['#{@variable}']));\r\n" end end end end if self.advance_mode && property[:hnc_cancer_predict_mapping_file].present? if (mapping_data_from_csv != {} && !mapping_data_from_csv[@variable].blank?) js_code += " mapping_hash = mapping_data_from_csv['#{@variable}'];\r\n" js_code += " temp_index = 0;\r\n" js_code += " temp_value = result['#{@variable}'];\r\n" js_code += " index = 0; $.each(mapping_hash,function(k,v){ if( index == 0 ){ var index_val = v.indexOf(temp_value); if( index_val != -1 ){ temp_index = index_val; }else{ closest_value = v.get_nearest_value(temp_value); temp_index = v.indexOf(closest_value) } } result[k] = v[temp_index]; index++; });\r\n" end end end end js_code += "\n Object.keys(result).forEach(function(k){ if(Number.isNaN(result[k])){ result[k] = 0; } })" js_code += "\n #{self.tmp_hidden_variables_for_js}" formula = text_to_math(self.prediction_formula) self.all_variables.each do |k| formula = formula.gsub(/(\A|[^\w])#{k}($|[^\w])/){|f| "#{$1}result[\"#{k.strip}\"]#{$2}" } end formula_variables = self.tmp_lpv_variables.map{|v| v} js_code = "\n function calculate_first_lpv(result_json){ result = {}; #{js_code} try{ #{formula.gsub(/\s{2,10}/," ").gsub("\n","\n ")} }catch(e){console.log(e)}; result['lpv_variable'] = {}; #{formula_variables.map{|v| "result['lpv_variable']['#{v}'] = #{v};"}.join("\n ") } result['lpv'] = #{formula_variables.count == 0 ? 0 : formula_variables.last}; result['lpv_variable']['lpv'] = result['lpv']; return result; }; function calculate_and_change_result_value(obj){ obj.servive_ratio_arr = []; for(var i = 0;i
' + head + '
' + ((index == 0) ? (((i==0)? '' : '+') + choice) : '-') + '