database_type   = 'mysql';
dataBase   = 'labor_highspeed';%'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\silas_labor_newdsp_newstructure.db';
db = DBHandler("dataBase", [dataBase], "type", database_type);

fp = QueryFilter();
% fp.where('Runs', 'run_id','EQUALS', 987); 
M = 8;
fp.where('Runs', 'pam_level','EQUALS', M);     
% fp.where('Runs', 'bitrate','LESS_THAN', 310e9);   
fp.where('Runs', 'fiber_length','EQUALS', 2);   
fp.where('Runs', 'is_mpi','EQUALS', 0);                
% fp.where('Runs', 'interference_path_length','EQUALS', 1000);      
% fp.where('Runs', 'loop_id','GREATER_THAN', 11);   
% fp.where('Runs', 'sir','EQUALS',18);  
fp.where('Runs', 'wavelength','EQUALS', 1310);         
% fp.where('Runs', 'db_mode','EQUALS', 1);              
fp.where('Runs', 'rop_attenuation','EQUALS', 0);      

% [dataTable,~] = db.queryDB(fp, db.getTableFieldNames('dashboard'));

eqstructures = unique(dataTable.equalizer_structure);
% Create the figure
figure(10);
hold on
for pre_emph = [1]
    
    dbmode_filtered = dataTable(dataTable.db_mode == ~pre_emph,:);

    for eqs = [equalizer_structure.vnle, equalizer_structure.vnle_pf_mlse , equalizer_structure.vnle_db_mlse]

        eq_choice = equalizer_structure(eqs);

        if sum(eqstructures == eq_choice)~=1
            disp(eq_choice)
            continue
        end

        eq_filtered = dbmode_filtered(dbmode_filtered.equalizer_structure == eq_choice,:);
        
        symbolrate_sorted = sortrows(eq_filtered,{'symbolrate','min_BER_precoded'}, 'ascend');
        [~, ia] = unique(symbolrate_sorted.symbolrate, 'first');        
        symbolrate_sorted = symbolrate_sorted(ia, :);
        
        % Example data (replace these with your real vectors)
        symbolrate = symbolrate_sorted.symbolrate.*1e-9;  % in baud
        bitrate   = symbolrate  * floor(log2(M)*10)/10;
        ber                 = symbolrate_sorted.min_BER;    % BER
        ber_precoded        = symbolrate_sorted.min_BER_precoded;    % BER
        cols       = cbrewer2('Paired',12);
        cols = [0.4660 0.6740 0.1880 ; 0.9290 0.6940 0.1250 ; 0 0.4470 0.7410; 0.4940 0.1840 0.5560]; %VNLE; PF ; DFE ; DB tgt
        
        dname = [char(eq_choice)];
        if pre_emph 
            dname = [dname,' with pre-emph.'];
        else
            dname = [dname,'  w/o pre-emph.'];
        end

        plot(bitrate, ber, 'LineWidth', 1.5, 'MarkerSize', 5,'Marker','o','LineStyle','-','Color',cols((2*eqs)+1+pre_emph,:),'MarkerEdgeColor',cols((2*eqs)+1+pre_emph,:),'MarkerFaceColor',[1,1,1],'DisplayName',[dname]);
        plot(bitrate, ber_precoded, 'LineWidth', 1.5, 'MarkerSize', 5,'Marker','square','LineStyle',':','Color',cols((2*eqs)+1+pre_emph,:),'MarkerEdgeColor',cols((2*eqs)+1+pre_emph,:),'MarkerFaceColor',[1,1,1],'DisplayName',[dname,'; pre-coded']);
        grid on;
        
        % Axis labels and title
        xlabel('Baud Rate GBaud', 'FontSize', 12);
        ylabel('BER',   'FontSize', 12);
        title('BER vs. Baud Rate',        'FontSize', 14, 'FontWeight', 'bold');
        
        % Improve tick formatting
        set(gca, 'XScale', 'linear', ...
                 'YScale', 'log', ...
                 'TickLabelInterpreter', 'latex', ...
                 'FontSize', 11);
        legend

        xticks(bitrate);
        
        % Optional: tighten axis limits
        xlim([min(bitrate), max(bitrate)]);
        ylim([5e-5, 0.5]);

    end

end

yline([4.85e-3, 2e-2],'LineWidth',1,'LineStyle','--','HandleVisibility','off');    beautifyBERplot();