#Copyright (c) 2014, Carlo B. Bifulco. All rights reserved.

require_relative "analyzer"
require_relative "data_struct"
require_relative "immunoscore_results_loader"



class StatResults
  include MongoMapper::Document
  include DataUtilities
  include CdIncluder
  include BinManager
  extend ClassDataUtilities
  safe
  timestamps!
  key :case_n, String
  key :file_name, String
  key :tissue_detection_threshold, Integer
  key :brown_threshold, Integer
  key :mean_brown, Integer
  key :median_brown, Float
  key :sd_brown, Float
  key :minimum_brown, Integer
  key :maximum_brown, Float
  key :mean_3_most_infiltrated_ct, Integer
  key :density_ct_tile_1, Integer
  key :area_ct_tile_1, Integer
  key :number_of_cells_ct_tile_1, Integer
  key :density_ct_tile_2, Integer
  key :area_ct_tile_2, Integer
  key :number_of_cells_ct_tile_2, Integer
  key :density_ct_tile_3, Integer
  key :area_ct_tile_3, Integer
  key :number_of_cells_ct_tile_3, Integer
  key :density_ct_tile_4, Integer
  key :area_ct_tile_4, Integer
  key :number_of_cells_ct_tile_4, Integer
  key :density_ct_tile_5, Integer
  key :area_ct_tile_5, Integer
  key :number_of_cells_ct_tile_5, Integer
  key :mean_3_most_infiltrated_im, Integer
  key :density_im_tile_1, Integer
  key :area_im_tile_1, Integer
  key :number_of_cells_im_tile_1, Integer
  key :density_im_tile_2, Integer
  key :area_im_tile_2, Integer
  key :number_of_cells_im_tile_2, Integer
  key :density_im_tile_3, Integer
  key :area_im_tile_3, Integer
  key :number_of_cells_im_tile_3, Integer
  key :density_im_tile_4, Integer
  key :area_im_tile_4, Integer
  key :number_of_cells_im_tile_4, Integer
  key :density_im_tile_5, Integer
  key :area_im_tile_5, Integer
  key :number_of_cells_im_tile_5, Integer
  key :old_mean_3_most_infiltrated_ct, Integer
  key :old_density_ct_tile_1, Integer
  key :old_area_ct_tile_1, Integer
  key :old_number_of_cells_ct_tile_1, Integer
  key :old_density_ct_tile_2, Integer
  key :old_area_ct_tile_2, Integer
  key :old_number_of_cells_ct_tile_2, Integer
  key :old_density_ct_tile_3, Integer
  key :old_area_ct_tile_3, Integer
  key :old_number_of_cells_ct_tile_3, Integer
  key :old_density_ct_tile_4, Integer
  key :old_area_ct_tile_4, Integer
  key :old_number_of_cells_ct_tile_4, Integer
  key :old_density_ct_tile_5, Integer
  key :old_area_ct_tile_5, Integer
  key :old_number_of_cells_ct_tile_5, Integer
  key :old_mean_3_most_infiltrated_im, Integer
  key :old_density_im_tile_1, Integer
  key :old_area_im_tile_1, Integer
  key :old_number_of_cells_im_tile_1, Integer
  key :old_density_im_tile_2, Integer
  key :old_area_im_tile_2, Integer
  key :old_number_of_cells_im_tile_2, Integer
  key :old_density_im_tile_3, Integer
  key :old_area_im_tile_3, Integer
  key :old_number_of_cells_im_tile_3, Integer
  key :old_density_im_tile_4, Integer
  key :old_area_im_tile_4, Integer
  key :old_number_of_cells_im_tile_4, Integer
  key :old_density_im_tile_5, Integer
  key :old_area_im_tile_5, Integer
  key :old_number_of_cells_im_tile_5, Integer
end


### aggregates in  a single spreadsheat all csv/stat files entries present in database
def write_stats_csv file_path
  csv_array=[]<< Statistic.all[0].data_load.to_s.split("\n")[0]
  ###Stat Results will contain all datasets in an csv format
  Statistic.all.each do |stat_entry|
    csv_array<<stat_entry.data_load.to_s.split("\n")[1]
  end
  csv_array
  fh=File.new(file_path,"w")
  csv_array.each{|l| fh.write(l+"\n")}
  fh.close
end