% === DSP settings ===
dsp_options = struct();
dsp_options.mode = "run_id";
dsp_options.recipe = @mpi_recipe_dev;
dsp_options.append_to_db = false;
dsp_options.max_occurences = 3;
dsp_options.start_occurence = 1;
dsp_options.debug_plots = true;

dsp_options.database_type = "mysql";

dsp_options.dataBase = "labor";
dsp_options.storage_path = "W:\labdata\ECOC Silas\ecoc_2025";

dsp_options.server = "192.168.178.192";
dsp_options.port = 3306;
dsp_options.user = "silas";
dsp_options.password = "silas";

db = DBHandler("dataBase", [dsp_options.dataBase],...
    "type", dsp_options.database_type,...
    "server", dsp_options.server,...
    "user", dsp_options.user, "password", dsp_options.password);

%%
fp = QueryFilter();
fp.where('Runs', 'symbolrate',                'EQUALS', 112e9);
fp.where('Runs', 'fiber_length',              'EQUALS', 0);
fp.where('Runs', 'interference_path_length',  'EQUALS', 1000);
fp.where('Runs', 'sir',                       'EQUALS', 23);
% fp.where('Runs', 'db_mode',                   'EQUALS', '"no_db"');
% fp.where('Runs', 'is_mpi',                    'EQUALS', 1);
fp.where('Runs', 'pam_level',                 'EQUALS', 4);
fp.where('Runs', 'wavelength',                'EQUALS', 1310);
fp.where('Runs', 'v_bias',                    'EQUALS', 2.65);

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

[~, uniqueSirRows] = unique(dataTable.sir, "stable");
dataTable = dataTable(uniqueSirRows, :);
% sort rows by sir (ascending) and extract run_ids
[~, sortIdx] = sort(dataTable.sir, 'descend');
dataTable = dataTable(sortIdx, :);
run_ids = dataTable.run_id;

if isempty(run_ids)
    error("run_minimal_recipe:MissingRunIds", ...
        "Set run_ids to one or more known run IDs before running this example.");
end

%% === Warehouse setup ===
dsp_options.userParameters = struct();
dsp_options.userParameters.smoothing_length = logspace(1,5.5,5);

wh = DataStorage(dsp_options.userParameters);

%% === Run ===
% submitJobs returns the raw per-job results and the filled Warehouse. For a
% single run_id and remove_dc = [0, 1], results is a 2-by-1 cell array.
[results, wh] = submitJobs(run_ids, dsp_options, processingMode.parallel, ...
    "wh", wh, ...
    "waitbar", true);

%% Analyze

storageNames = fieldnames(wh.sto);
x_vars = dsp_options.userParameters.smoothing_length;

figure(2026);hold on
for i = 1:numel(run_ids)
    disp(run_ids(i))
    result = wh.getStoValue(storageNames{1},x_vars);
    ber = cellfun(@(packageCell) packageCell{1}.metrics.BER, result);
    plot(x_vars,ber);
    beautifyBERplot("logscale",true,"setcolors",true,"setmarkers",true);
end