clear;
clc;

dump_ged = 0;
dump_time = 0;
dump_addMissingAtt = 1;
dump_AttThPect = 0;

if dump_ged == 1
    name = 'GED';
elseif dump_time == 1
    name = 'Time';
else    
    name = 'Results';
end

dataDir = 'D:/SocialNets/__Steam/_Exp_Oct13/Train/results8_Th35_2K_Train/F1022_Iter_1120/';
dataDir = 'D:/__SN_Oct13/Results/compareTh_KM8_10K_b/F922_Iter_15/';
%dataDir = 'D:/__SN_Oct13/Results/results9_Th358_101K/F922_Iter_44/';
% dataDir = 'D:/__SN_Jan14_FF50/Results/results9_Th358_100K/F922_Iter_810/';
% dataDir = 'D:/__SN_Jan14_FF75/Datasets_10K/testImgA/F922_Iter_14_R2M2/';
%dataDir = 'D:/__SN_Jan14_FF75/Datasets_10K/testImg_noTh_10000/F922_I2P1M0_Iter_15/';
files = dir(strcat(dataDir, 'res_*.mat')); 
dateNow = clock;
dateNow = strcat(num2str(dateNow(1)),'_',num2str(dateNow(2)),'_', num2str(dateNow(3)),'_', num2str(dateNow(4)), num2str(dateNow(5)),'_', num2str(dateNow(6)));
outFile = sprintf('%sDump%s_%s.txt',dataDir, name, dateNow);
fileID = fopen(outFile,'w');



first = 1;
numAlg = 0;
for f = files'
    data = load(strcat(dataDir,f.name));
    numResults = size(data.purity,2);
    numMissing = size(data.removed_nodes,2);
    line = numResults/numMissing;
    % print header
    if first == 1
        fprintf(fileID,'\tfile\tinx\titer\tnodes\tedges\tattEdges\tattNodes\tmissInx\tmissNum\tnumPHs\tavgPHs');
        for i=1:line
            r=data.purity(1,i);
                
            if dump_addMissingAtt == 1 || dump_AttThPect == 1
                if r.withAttr == 0 && r.affinity_calculation_type ~= 9
                    numAlg = numAlg+1;
                end
                p = r.addMissingAtt;
                if r.addMissingAtt == 1
                    p = 0;
                end
                if dump_AttThPect == 1 && r.attThPect < 1
                    p = r.attThPect*10;
                end
                fprintf(fileID,'\t%d',p*100000+r.affinity_calculation_type*1000+r.withAttr);
            else
                if r.withAttr == 0 && r.affinity_calculation_type ~= 9
                    fprintf(fileID,'\t%d_Orig',r.affinity_calculation_type);
                    numAlg = numAlg+1;
                else
                    %fprintf(fileID,'\t%d_Att%d',r.affinity_calculation_type,r.withAttr);
                    fprintf(fileID,'\t%d_%d',r.affinity_calculation_type,r.withAttr);
                end
            end
        end
        fprintf(fileID,'\n');
        first = 0;
    end
    numAlgVars = line/numAlg;
    
    %print data
    for i=1:numResults
        r = data.purity(1,i);
        if mod(i,line)==1 || numResults==1
            fprintf(fileID,'\t%s',data.file);
            fprintf(fileID,'\t%d',data.i);
            fprintf(fileID,'\t%d',data.iter);
            fprintf(fileID,'\t%d',r.graph_size);
            fprintf(fileID,'\t%d',r.graph_edges); %12.12.12
            fprintf(fileID,'\t%d',r.graph_attr_edges); % 12.12.12
            fprintf(fileID,'\t%d', data.purity(1,i).num_attr_nodes);
            fprintf(fileID,'\t%d',r.num_missing_nodes_idx); 
            fprintf(fileID,'\t%d',r.num_missing_nodes);
            fprintf(fileID,'\t%d',r.num_placeholders);
            fprintf(fileID,'\t%d',r.num_placeholders/r.num_missing_nodes);
        end   
%         if mod(i,numAlgVars)==1
%            fprintf(fileID,'\t'); % place for min calculation
%         end
        if dump_ged == 1
            fprintf(fileID,'\t%d',r.edit_distance);
        elseif dump_time == 1
            total_time = r.affinity_calc_time+r.reduce_dim_time+r.graph_predict_time+r.att_affinity_calc_time;
            fprintf(fileID,'\t%d',total_time);
        else
            fprintf(fileID,'\t%d',r.score);
        end
        if mod(i,line)==0
            fprintf(fileID,'\n');
        end
    end
end

fclose(fileID);
LogMsg(sprintf('Completed Dump%s at%s',name,outFile));