class Cancerpredictfields 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","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","cancer_predict_mapping_file","lpv_impact","active_choice","disable_condition"] AdvanceFields = ["revert_value","map_values","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"] field :title ,type:String ,default:"" field :advance_mode, type: Boolean, default: true field :form_show , :type=> Hash ,default:{ "0"=>{"variable"=>"sex_value", "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"=>0, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "1"=>{"variable"=>"age", "name"=>{"zh_tw"=>"年齡
(Age)", "en"=>"Age"}, "is_num"=>1, "hint"=>{"zh_tw"=>"從 20 歲(含)開始至 98 歲", "en"=>"Age must be between 20 and 98"}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>[], "en"=>[]}, "range"=>[20, 98], "right"=>0, "is_float"=>0, "revert_value"=>0, "map_values"=>[], "cancer_predict_mapping_file"=>BSON::ObjectId('5f8e60441d41c801f600011a'), "need_map_values"=>0}, "2"=>{"variable"=>"calH", "name"=>{"zh_tw"=>"心臟鈣化分數
(Heart Calcification score)", "en"=>"Heart Calcification score"}, "is_num"=>1, "hint"=>{"zh_tw"=>"請輸入0到5000的數字", "en"=>"Please enter a number between 0 and 5000"}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>[], "en"=>[]}, "range"=>[0, 5000], "right"=>0, "is_float"=>1, "revert_value"=>0, "map_values"=>[], "cancer_predict_mapping_file"=>BSON::ObjectId('5f8e66c71d41c801f6000139'), "need_map_values"=>0}, "3"=>{"variable"=>"calAH", "name"=>{"zh_tw"=>"升主動脈鈣化分數", "en"=>"Aorta ascendens Calcification score"}, "hint"=>{"zh_tw"=>"請輸入0到10000的數字", "en"=>"Please enter a number between 0 and 10000"}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>[], "en"=>[]}, "is_num"=>1, "range"=>[0, 10000], "right"=>0, "is_float"=>1, "revert_value"=>0, "map_values"=>[], "cancer_predict_mapping_file"=>BSON::ObjectId('5f8e6ded1d41c801f600013d'), "need_map_values"=>0}, "4"=>{"variable"=>"calDH", "name"=>{"zh_tw"=>"降主動脈鈣化分數", "en"=>"Aorta descendens Calcification score"}, "hint"=>{"zh_tw"=>"請輸 入0到10000的數字", "en"=>"Please enter a number between 0 and 10000"}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>[], "en"=>[]}, "is_num"=>1, "range"=>[0, 10000], "right"=>0, "is_float"=>1, "revert_value"=>0, "map_values"=>[], "cancer_predict_mapping_file"=>BSON::ObjectId('5f8e6ded1d41c801f600013e'), "need_map_values"=>0}, "5"=>{"variable"=>"fat", "name"=>{"zh_tw"=>"脂肪分數", "en"=>"Fat"}, "hint"=>{"zh_tw"=>"請輸入20到408的數字", "en"=>"Please enter a number between 20 and 408"}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>[], "en"=>[]}, "is_num"=>1, "range"=>[20, 408], "right"=>0, "is_float"=>1, "revert_value"=>0, "map_values"=>[], "cancer_predict_mapping_file"=>BSON::ObjectId('5f8e6ded1d41c801f600013f'), "need_map_values"=>0}, "6"=>{"variable"=>"N4", "name"=>{"zh_tw"=>"腫瘤", "en"=>"Neoplasia"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>0, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "7"=>{"variable"=>"N12", "name"=>{"zh_tw"=>"癡呆症", "en"=>"Dementias"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>0, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "8"=>{"variable"=>"N20", "name"=>{"zh_tw"=>"慢性肝炎", "en"=>" Chronic hepatitis"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>0, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "9"=>{"variable"=>"N31", "name"=>{"zh_tw"=>"垂體侏儒症", "en"=>" Pituitary dwarfism"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>0, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "10"=>{"variable"=>"O6", "name"=>{"zh_tw"=>"慢性腎病", "en"=>" Chronic Kidney Disease"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "11"=>{"variable"=>"N34", "name"=>{"zh_tw"=>"克羅恩病和潰瘍性結腸炎", "en"=>"Crohn's disease and ulcerative colitis"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "12"=>{"variable"=>"N14", "name"=>{"zh_tw"=>"帕金森氏", "en"=>"Parkinson's disease"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "13"=>{"variable"=>"N26", "name"=>{"zh_tw"=>"多發性硬化症", "en"=>"Multiple sclerosis"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>[" 有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "14"=>{"variable"=>"O3", "name"=>{"zh_tw"=>"高血壓", "en"=>"Multiple sclerosis"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "15"=>{"variable"=>"O20", "name"=>{"zh_tw"=>"嚴重精神疾病", "en"=>"Severe mental illness"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "16"=>{"variable"=>"O18", "name"=>{"zh_tw"=>"類風溼關節炎", "en"=>"Rheumatoid arthritis"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "cancer_predict_mapping_file"=>"", "need_map_values"=>0}, "17"=>{"variable"=>"O11", "name"=>{"zh_tw"=>"非出血性腦血管疾病", "en"=>"Non-Hemorrhagic Cerebrovascular Disease"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "need_map_values"=>0}, "18"=>{"variable"=>"N29", "name"=>{"zh_tw"=>"強直性脊柱炎", "en"=>"Ankylosing spondylitis"}, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "need_map_values"=>0}, "19"=>{"variable"=>"N6", "name"=>{"zh_tw"=>"動脈血管", "en"=>"Arterial vasculopathy"}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>""}, "comment_text"=>{"zh_tw"=>"", "en"=>""}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>["yes", "no"]}, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "need_map_values"=>0}, "20"=>{"variable"=>"O14", "name"=>{"zh_tw"=>"葡萄糖不耐症", "en"=>nil}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>nil}, "comment_text"=>{"zh_tw"=>"", "en"=>nil}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>nil}, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "need_map_values"=>0}, "21"=>{"variable"=>"N43", "name"=>{"zh_tw"=>"Basedow's disease", "en"=>nil}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>nil}, "comment_text"=>{"zh_tw"=>"", "en"=>nil}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>nil}, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "need_map_values"=>0}, "22"=>{"variable"=>"O17", "name"=>{"zh_tw"=>"偏頭痛", "en"=>nil}, "is_num"=>0, "hint"=>{"zh_tw"=>"", "en"=>nil}, "comment_text"=>{"zh_tw"=>"", "en"=>nil}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>nil}, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "need_map_values"=>0}, "23"=>{"variable"=>"O9", "name"=>{"zh_tw"=>"心臟衰竭", "en"=>nil}, "hint"=>{"zh_tw"=>"", "en"=>nil}, "comment_text"=>{"zh_tw"=>"", "en"=>nil}, "choice_fields"=>{"zh_tw"=>["有", "沒有"], "en"=>nil}, "is_num"=>0, "range"=>[], "right"=>1, "is_float"=>0, "revert_value"=>1, "map_values"=>[], "need_map_values"=>0} } field :form_show_in_result , :type=> Hash ,default: {} field :form_result_is_right , :type=> Integer ,default: 0 field :text_descibe ,type:Hash ,default: { "zh_tw"=>"歡迎使用台灣心血管 疾病預後預測系統
\r\n本預測系統由全民健保資料庫2017年~2020年間共1700位病人電腦斷層影像所建立之預測模型
\r\n請 在下方填入相關資訊", "en"=>"Welcome to the Taiwan cardiovascular disease prognosis prediction System!
\r\nThe prediction system is a prediction model established by CT images of 1,700 patients form the National Health Insurance Database between 2017 to 2020.
\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 :head_images_id ,type:Array , default: [] field :title_images_id ,type:Array , default: [] field :title_texts ,type:Hash ,default: {"zh_tw"=>"臺灣心血管疾病存活預測", "en"=>"Cardiovascular Disease Survival Forecast in Taiwan"} 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,分別估計在一年、一年半、兩年及兩年半的心血管疾病住院或死亡機率。", "en"=>"The analysis is for women who had undergone surgery.The table shows the 1,1.5, 2 and 2.5 year survival rates,based on the treatment you have selected."} field :text_above_texts ,type:Hash ,default: {"zh_tw"=>"此研究分析來自於照射胸部電腦斷層所得之結果,根據您所輸入的資訊,在第{{years}}年內,有{{Surgery_only}}%的 機率可能心血管疾病住院或死亡。", "en"=>"This research comes from the results obtained by irradiating the chest CT. According to the information you entered that you have the {{Surgery_only}}% of hospitalization or death for cardiovascular disease within {{years}} years."} field :surgery_only_texts ,type:Hash ,default: {"zh_tw"=>"", "en"=>""} 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, 1.5, 2, 2.5] 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。", "en"=>"Please note that the patients need to consult with their medical doctors before making any decision."} #field :image_uploader ,type:Object field :prediction_formula , type: String ,default: "A = 0.1327868* (sex_value- 0.4858824) + 0.0371720* (age_test1 - 61.56000) -0.07447278* (age_test2 - 13.10152) + 0.4315686* (age_test3 - 0.9844332) + 0.0009163615*( calH_test1 - 182.9347) -0.0007536899*( calH_test2 - 124.8706) -0.00004697183*( calH_test3 -80.75636) + 0.0001401325*( calAH_test1 - 700.7824) -0.001349783*( calAH_test2 - 634.2167) +0.001753832*( calAH_test3 -419.3361) + 0.0001906046*( calDH_test1 -835.2894) -0.000251567*( calDH_test2 - 213.1630) -0.002173942*( fat_test1 -108.4149)+0.003066541*( fat_test2 - 28.33497) +0.6700708*(N4-0.3241176) +0.3336162*(O3-0.4994118) +0.1322476*(O20-0.1741176) +0.9084972*(O18-0.008823529) +0.2978388*(N12-0.1152941) +0.1777935*(N20-0.3582353) +1.588042*(N31-0.002352941) +0.2197419*(O6-0.07823529) +1.791159*(N34-0.001176471) +0.4305973*(N14-0.02176471) -0.4472885*(N29-0.02411765) +0.2601319*(N26-0.04941176) -0.2364269*(O11-0.1164706) +0.1784179*(N6-0.1070588) +0.6023170*(O14-0.01294118) -1.031959*(N43-0.007058824) +0.4257809*(O17-0.01823529) +0.2002546*(O9-0.06176471)" field :years_settings , type: Array , default: ["0.8095037^( exp(A) )", "0.729158^( exp(A) )", "0.6717211^( exp(A) )", "0.6056773^( exp(A) )"] field :tmp_years_settings , type: Array , default: [] field :tmp_years_settings_for_ruby , type: Array , default: [] field :hidden_variables, type: String, default: "" 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('cancerpredict.table.'+name)} @therapy_choices = [I18n.t('cancerpredict.table.Surgeryonly')] self.form_show_in_result.values.each{|choice| @therapy_choices.push choice["name"][locale].to_s} tmp_table = "#{I18n.t("cancerpredict.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("cancerpredict.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 generate_eval_formula eval_hidden_variables = "def eval_hidden_variables(result); #{self.tmp_hidden_variables_for_ruby}; end" CancerpredictsController.module_eval(eval_hidden_variables) eval_formula = "def eval_formula(result); #{self.tmp_lpv_ruby_code}; end" CancerpredictsController.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[: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) : '-') + '