db = DBHandler("type","mysql","dataBase",'labor');
savePath = 'W:\labdata\ECOC Silas\ecoc_2025\';


fp = QueryFilter();
% fp.where('Runs', 'run_id','EQUALS', 987);
M = 4;
fp.where('Runs', 'pam_level','EQUALS', M);     
% fp.where('Runs', 'symbolrate','NOT_EQUAL', 112e9);
fp.where('Runs', 'fiber_length','EQUALS', 0);   
fp.where('Runs', 'is_mpi','EQUALS', 1);                
fp.where('Runs', 'interference_path_length','EQUALS', 1000);      
% fp.where('Runs', 'loop_id','GREATER_THAN', 11);   
fp.where('Runs', 'sir','LESS_EQUAL',20);  
% fp.where('Runs','run_id','GREATER_EQUAL',3153);

[dataTable,sql_query] = db.queryDB(fp, db.getTableFieldNames('Runs'));

[~, uniqueIdx] = unique(dataTable.run_id);  % Get unique run_id indices

% dataTable.SIR = -7 - round(dataTable.power_mpi_interference);

%%
for i = 1:size(dataTable,1)
    dataTable_ = dataTable(i,:);  % Extract unique configurations for each run_id

    fsym = dataTable_.symbolrate;
    M = double(dataTable_.pam_level);
    duob_mode = db_mode.(strrep(char(dataTable_.db_mode),'"',''));

    Tx_signal = load([savePath, char(dataTable_.tx_signal_path),'.mat']);
    Tx_signal = Tx_signal.Digi_sig;

    Tx_bits     = load([savePath, char(dataTable_.tx_bits_path)]);
    Tx_bits     = Tx_bits.Bits;
    Symbols_mapped = PAMmapper(M,0).map(Tx_bits);
    Symbols_mapped.fs = dataTable_.symbolrate;

    Symbols  = load([savePath, char(dataTable_.tx_symbols_path)]);
    Symbols  = Symbols.Symbols;

    Scpe_sig_raw = load([savePath, char(dataTable_.rx_raw_path(1))]);
    Scpe_sig_raw = Scpe_sig_raw.Scpe_sig_raw;
    % Scpe_sig_raw = Scpe_sig_raw.normalize("mode","rms");
    Scpe_sig_raw.plot("displayname",['Scope Signal (Run ID: ',num2str(dataTable_.run_id)],"fignum",dataTable_.run_id,"clear",0);

    Scpe_sig_raw.spectrum("normalizeTo0dB",1);


    disp(num2str(dataTable_.interference_path_length));
    [separated_levels_sig, avg_sig] = showLevelScatter(Scpe_sig_raw, Symbols, ...
        "fsym", fsym, ...
        "syncFs", 2*fsym, ...
        "fignum", 400, ...
        "normalize", true, ...
        "debug_plots", false,"showPlot",true,"showStdAnnotations",false,"yLimits",[-3 3]);

    std_levels = std(separated_levels_sig,0,2,'omitnan');
    mean_levels = mean(separated_levels_sig,2,'omitnan');
    std_tot = std(Scpe_sig_raw.signal,0,1,'omitnan');

    var_levels = std_levels.^2;
    p = polyfit(mean_levels, var_levels, 1);

    var_slope  = p(1);
    var_offset = p(2);c

end