clear;
clc;

%affinity calculation types
% affinity_calculation_shortest_path = 0;
% affinity_calculation_euclid = 1;
% affinity_calculation_common_friends = 2;
% affinity_calculation_random_clustering = 3;
% affinity_calculation_adamic_adar = 4;
% affinity_calculation_katz_beta_0_5 = 5;
% affinity_calculation_katz_beta_0_05 = 6;
% affinity_calculation_katz_beta_0_005 = 7;

affinities = 3; %%[2,3,4,6]; %3,4]; %,6];
num_missing_nodes_arr = 11; %%[11 21 31 41 50]; %%5:5:30; %10:10:50; %%[11 21 31 41 50]; %10:10:50;
percentKnownPHsVec = 1;

datasetDir = 'D:/SocialNets/Steam/Exp_Train/' ;
results_dir = strcat(datasetDir,'Stat/');
filePrefix = 'Steam_*';
netSizes = [2048];
runAlgFlag = 1;
debugFlag = 0;
dumpFlag = 0;
numThreshold = 0;
%%maxAttStat = 0.25; % use this attribute only if it appears less than this percentage
numAttrCols = 60; %%21; %40; %50
%attSelected = ones(1,numAttrCols);
%attSelected(1) = 0; %skip country
attWeight = 0.3;
addMissingAtt = 0;

date_now = clock;
date_now = strcat(num2str(date_now(1)),'_',num2str(date_now(2)),'_', num2str(date_now(3)),'_', num2str(date_now(4)), num2str(date_now(5)),'_', num2str(date_now(6)));
LogMsg(sprintf('%s Strating CheckProperties ...',date_now));

outFile = sprintf('%sPropertiesStat_%s.txt', results_dir, date_now);
fileID = 0;

for nodes = netSizes
    
    prefix = sprintf('%s%s%d_%s',datasetDir,filePrefix,nodes,'*.mat');
    files = dir(prefix);
    firstIter = 1;
    
    for iter = 1 %1:2 %100         % loop over same network with different missing nodes
        
        for i = 1:size(files,1)     % loop over the list of networks
            
            file = files(i).name;
            
            fprintf('reading network information from file %s%s ...\n', datasetDir, file);
            load(strcat(datasetDir, file), 'data');
            data = sparse(data);
            
            for maxAttStat = 1 %%[0.25 0.3 0.4 0.5 0.75 1]
                
                attSelected = ones(1,numAttrCols);
                %skip all games
                %                 for g=2:1:11
                %                     attSelected(g) = 0;
                %                 end
                %skip all groups
                %                 for g=12:1:50
                %                     attSelected(g) = 0;
                %                 end
                attSelectedNum = nnz(attSelected);
                
                attFile = strrep(file, '.txt.mat', '.usr.txt');
                [attributes, attUpperRange, attSelected, attStat] = PrepareAttributes2(datasetDir, attFile, nodes, numAttrCols, maxAttStat, attSelected);
                
                if runAlgFlag == 1
                    date_now = clock;
                    date_now = strcat(num2str(date_now(1)),'_',num2str(date_now(2)),'_', num2str(date_now(3)),'_', num2str(date_now(4)), num2str(date_now(5)),'_', num2str(date_now(6)));
                    
                    % make sure dump & results directories exist
                    if (firstIter == 1 && i == 1)
                        firstIter = 0;
                        if isdir(results_dir) == 0
                            mkdir(results_dir);
                        end
                        fileID = fopen(outFile,'w');
                        fprintf(fileID,'\tfile\ti\titer\tnodes\tedges\tnonedges\tmaxAttStat\tattSelectedNum\tnumAtt\tAttId\tAttPerc');
                        fprintf(fileID,'\tedgesAttOne\tpercAttOne\tedgesAttZero\tpercAttZero\tedgesAttTwo\tpercAttTwo');
                        fprintf(fileID,'\tnonedgesAttOne\tpercAttOne\tnonedgesAttZero\tpercAttZero\tnonedgesAttTwo\tpercAttTwo');
                        fprintf(fileID,'\n');
                    end
                    
                    numAtt = nnz(attSelected); %%size(attributes,2);
                    edges = nnz(data);
                    nonedges = nodes*nodes-nodes-edges;
                    
                    for attId = 1:numAttrCols
                        % Calc Attributes Affinity - similarity score
                        fprintf('calculating attribtes similarity matrix for attId=%d ...\n',attId);
                        [attSimilarity] = CalcOneAttributeSimilarity(data, attributes, attId, 1);

                        % save iteration data
                        fprintf(fileID,'\t%s',file);
                        fprintf(fileID,'\t%d',i);
                        fprintf(fileID,'\t%d',iter);
                        fprintf(fileID,'\t%d',nodes);
                        fprintf(fileID,'\t%d',edges);
                        fprintf(fileID,'\t%d',nonedges);
                        fprintf(fileID,'\t%d',maxAttStat);
                        fprintf(fileID,'\t%d',attSelectedNum);
                        fprintf(fileID,'\t%d',numAtt);

                        fprintf(fileID,'\t%d',attId);
                        fprintf(fileID,'\t%d',attStat(attId));
                        %Note - Sigal, replace 0 and 2 so we can have sparse matrix
                        % edges properties
                        edgesInd = find(data);
                        edgesAttOne = size(find(attSimilarity(edgesInd)==1),1);
                        edgesAttTwo = size(find(attSimilarity(edgesInd)==0),1);
                        edgesAttZero = size(find(attSimilarity(edgesInd)==2),1);

                        fprintf(fileID,'\t%d\t%d',edgesAttOne,edgesAttOne/edges);
                        fprintf(fileID,'\t%d\t%d',edgesAttZero,edgesAttZero/edges);
                        fprintf(fileID,'\t%d\t%d',edgesAttTwo,edgesAttTwo/edges);

                        % nonedges properties
                        nonedges = nodes*nodes-nodes-edges;
                        nonedgesInd = find(data==0);
                        nonedgesAttOne = size(find(attSimilarity(nonedgesInd)==1),1)-nodes;
                        nonedgesAttTwo = size(find(attSimilarity(nonedgesInd)==0),1);
                        nonedgesAttZero = size(find(attSimilarity(nonedgesInd)==2),1);

                        fprintf(fileID,'\t%d\t%d',nonedgesAttOne,nonedgesAttOne/nonedges);
                        fprintf(fileID,'\t%d\t%d',nonedgesAttZero,nonedgesAttZero/nonedges);
                        fprintf(fileID,'\t%d\t%d',nonedgesAttTwo,nonedgesAttTwo/nonedges);
                        fprintf(fileID,'\n');

                        %LogMsg(sprintf('Results for file %s,iter %d at %s',file,iter,out_file));
                        %fprintf('Completed RunExperiment cycle - results at %s.\n',out_file);
                    end
                end
            end
            
            %  beep;
        end
    end
end

if fileID ~= 0
    fclose(fileID);
end

LogMsg(sprintf('%s Completed RunExperiment.',date_now));