basePath = 'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\';
db = DBHandler("pathToDB",[basePath,'silas_labor.db']);

%1) Get path info from DB
filterParams    = db.promptFilterParameters();
filterParams = db.tables;
filterParams.Configurations = struct( ...
    'bitrate',          300e9, ...
    'db_mode',          0, ...
    'fiber_length',     10, ...
    'interference_attenuation', [], ...
    'interference_path_length', [], ...
    'is_mpi',           0, ...
    'pam_level',        4, ...
    'precomp_amp',      [], ...
    'rop_attenuation',  0, ...
    'symbolrate',       [], ...
    'v_awg',            [], ...
    'v_bias',           [], ...
    'wavelength',       1310 ...
);
% filterParams.Equalizer.eq_id = 1;

% selectedFields  = db.promptSelectFields();
selectedFields = {'Runs.run_id','Runs.tx_bits_path', 'Runs.tx_symbols_path', 'Runs.rx_sync_path','Runs.rx_raw_path','Configurations.db_mode'};
pathTable         = db.getPathsWithFlexibleFilter(filterParams, selectedFields);
fprintf('Found %d entries for requested Configuration. IDs are: %s \n',size(pathTable,1),jsonencode(pathTable.run_id));

selectedBerFields = {'BERs.ber_id','BERs.run_id','BERs.eq_id'};
berresult         = db.getPathsWithFlexibleFilter(filterParams, selectedBerFields);

%2) Process

for i = 1:size(pathTable,1)

    tx_bits = load([basePath, char(pathTable.tx_bits_path(i))]);
    tx_bits = tx_bits.Bits;
    tx_symbols = load([basePath, char(pathTable.tx_symbols_path(i))]);
    tx_symbols = tx_symbols.Symbols;
    rx_sync = load([basePath, char(pathTable.rx_sync_path(i))]);
    rx_sync = rx_sync.S;
    %rx_raw = load([basePath, char(result.rx_raw_path(i))]);
    
    %2.1) EQ
    for o = 1:numel(rx_sync)
        rx_sig = rx_sync{o};
        switch pathTable.db_mode(i)
            case 0

                %normal signaling
                eq_ = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
                eq_sig = vnle(eq_,rx_sig,tx_symbols);

            case 1
                %db targeting => less precompensation; pre-coded

            case 2
                %db signaling => db encoded

        end

        rx_bits = PAMmapper(4,0).demap(eq_sig);
        [~,~,ber_vnle(o),~] = calc_ber(rx_bits.signal,tx_bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);

    end

    %2.2) Store BER to DB Table "BERs" 
    % structure = ""; % Description or Comment of BER technqiue
    % settings = EQ;
    % 
    % newBer = struct(...
    %     'ber_id', NaN,...
    %     'run_id', current_run_id,...
    %     'processing_structure', structure,...
    %     'processing_settings', settings,...
    %     'ber', jsonencode(ber)...
    %     );
    % 
    % db.appendToTable('BERs', newBer);
end

%3) Look at BER that just ran