updates from lab pc during ecoc sprint

projects/ECOC_2025/plots_from_database/plot_mpi_trial.m

@@ -1,8 +1,20 @@
 
+local = 1;
+
+if local
+    databasePath = 'C:\Users\sioe\Documents\MATLAB\imdd_simulation\projects\ECOC_2025\';
+else
+    databasePath = '\\ntserver.tf.uni-kiel.de\scratch\sioe\ECOC_2025\';
+end
 
-basePath = 'C:\Users\sioe\Documents\MATLAB\imdd_simulation\projects\ECOC_2025\';
 database_name = 'ecoc2025_loops.db';
-database = DBHandler("pathToDB", [basePath, database_name]);
+database = DBHandler("pathToDB", [databasePath, database_name]);
+
+figure();
+plotBoundaries = 1;
+plotRealizations = 1;
+cols = linspecer(3); % Ensure color count matches
+% cols = cols(8,:);
 
 filterParams = database.tables;
 filterParams.Configurations = struct( ...
@@ -10,7 +22,7 @@ filterParams.Configurations = struct( ...
     'fiber_length',     0, ...
     'db_mode',        '"no_db"', ...
     'interference_attenuation', [], ...
-    'interference_path_length', 50, ...
+    'interference_path_length', 10, ...
     'is_mpi',           1, ...
     'pam_level',        4, ...
     'wavelength',       1310, ...
@@ -23,8 +35,8 @@ filterParams.Configurations = struct( ...
 % filterParams.EqualizerParameters.diff_precode = int32(db_mode.db_encoded);
 % filterParams.EqualizerParameters.equalizer_structure = int32(equalizer_structure.vnle);
 
-selectedFields = {'Configurations.run_id' 'Runs.date_of_run' 'Runs.rx_raw_path'	'Configurations.bitrate' 'Configurations.v_bias' 'Configurations.v_awg' 'Configurations.precomp_amp'	'Configurations.symbolrate'	'Configurations.pam_level'...
-    'Configurations.db_mode'	'Configurations.rop_attenuation'	'Configurations.is_mpi'	'Configurations.interference_attenuation' 'Configurations.signal_attenuation'	...
+selectedFields = {'Configurations.run_id' 'Runs.loop_id' 'Runs.date_of_run' 'Runs.rx_raw_path'	'Configurations.bitrate' 'Configurations.v_bias' 'Configurations.v_awg' 'Configurations.precomp_amp'	'Configurations.symbolrate'	'Configurations.pam_level'...
+    'Configurations.db_mode'	'Configurations.rop_attenuation'	'Configurations.is_mpi'	'Configurations.interference_attenuation' 'Configurations.interference_path_length' 'Configurations.signal_attenuation'	...
     'EqualizerParameters.equalizer_structure'	'EqualizerParameters.diff_precode' 'EqualizerParameters.eq_id'	'Measurements.power_pd_in' ...
     'Measurements.power_mpi_interference'	'Measurements.power_mpi_signal'	'Results.BER' 'Results.BER_precoded'	'Results.SNR'	'Results.GMI'	'Results.Alpha' 'Results.date_of_processing'};
 
@@ -32,14 +44,18 @@ selectedFields = {'Configurations.run_id' 'Runs.date_of_run' 'Runs.rx_raw_path'
 dataTable.SIR = round(-6 - dataTable.power_mpi_interference);
 dataTable = cleanUpTable(dataTable);
 
-% Filter by time
-startTime = datetime('2025-04-12 18:00:00', 'InputFormat', 'yyyy-MM-dd HH:mm:ss');
-stopTime  = datetime('2025-04-13 19:30:00', 'InputFormat', 'yyyy-MM-dd HH:mm:ss');
-dataTable.date_of_run = datetime(dataTable.date_of_run, 'InputFormat', 'yyyy-MM-dd HH:mm:ss.SSSSSS');
-dataTable.date_of_processing = datetime(dataTable.date_of_processing, 'InputFormat', 'yyyy-MM-dd HH:mm:ss.SSSSSS');
-dataTable = dataTable(dataTable.date_of_processing > startTime, :);
-dataTable = dataTable(dataTable.date_of_processing < stopTime, :);
+dataTable(dataTable.eq_id==0,:) = [];
 
+% Filter by time
+filter_by_time = 0;
+if filter_by_time
+    startTime = datetime('2025-04-14 13:00:00', 'InputFormat', 'yyyy-MM-dd HH:mm:ss');
+    stopTime  = datetime('2025-04-14 19:30:00', 'InputFormat', 'yyyy-MM-dd HH:mm:ss');
+    dataTable.date_of_run = datetime(dataTable.date_of_run, 'InputFormat', 'yyyy-MM-dd HH:mm:ss.SSSSSS');
+    dataTable.date_of_processing = datetime(dataTable.date_of_processing, 'InputFormat', 'yyyy-MM-dd HH:mm:ss.SSSSSS');
+    dataTable = dataTable(dataTable.date_of_processing > startTime, :);
+    dataTable = dataTable(dataTable.date_of_processing < stopTime, :);
+end
 % Group by smth
 y_var = 'BER';
 x_var = 'SIR';
@@ -53,16 +69,14 @@ dataTableGrpd_mean = groupIt(fixedVars, dataTable, @mean);
 dataTableGrpd_min = groupIt(fixedVars, dataTable, @min);
 dataTableGrpd_max = groupIt(fixedVars, dataTable, @max);
 
-plotRealizations = 1;
+
 % Create a new figure
 mkr = '.';
-figure();
 hold on
 
 unique_loop_var = unique(dataTable.(loop_var));
-cols = linspecer(numel(unique_loop_var)); % Ensure color count matches
 
-for i = 1:2%1:numel(unique_loop_var)
+for i = 1%:numel(unique_loop_var)
 
     % Prepare filtered data for this loop variable
     loopValue = unique_loop_var(i);
@@ -86,31 +100,38 @@ for i = 1:2%1:numel(unique_loop_var)
     % Display name (optional)
     idx = find(dataTable.(loop_var) == loopValue, 1, 'first');
     dispname = equalizer_structure(dataTable.equalizer_structure(idx));
+    dispname = [char(dispname),'; ',num2str(unique(dataTable.interference_path_length)),' m'];
 
-    % Plot bounded line
-    [hl, hp] = boundedline(x_values, y_mean, y_bounds, ...
-        'alpha', 'transparency', 0.2, ...
-        'cmap', cols(i,:), ...
-        'nan', 'fill', ...
-        'orientation', 'vert');
+    if plotBoundaries
+        % Plot bounded line
+        [hl, hp] = boundedline(x_values, y_mean, y_bounds, ...
+            'alpha', 'transparency', 0.2, ...
+            'cmap', cols(i,:), ...
+            'nan', 'fill', ...
+            'orientation', 'vert');
+    
+        % Style the main line: thinnest, dotted, no marker
+        set(hl, 'LineWidth', 1, 'LineStyle', '-', 'Marker', 'none', ...
+            'Color', cols(i,:), 'DisplayName', string(dispname));
+    
+        % Hide patch (shaded area) from legend
+        set(hp, 'HandleVisibility', 'off','LineStyle',':','LineWidth',0.5,'Marker','none');
+    
+        % Add invisible scatter for DataTips
+        plt = scatter(x_values, y_mean, ...
+            'Marker', 'o', 'MarkerEdgeColor', 'none', 'MarkerFaceColor', 'none', ...
+            'HandleVisibility', 'off', 'PickableParts', 'all');
+    else
+           plt= plot(x_values,y_mean,'LineWidth', 1, 'LineStyle', '-', 'Marker', 'none', ...
+            'Color', cols(i,:), 'DisplayName', string(dispname));
+    end
+        % Add data tips to the invisible scatter
+        pair_one = {'Run ID', dataTableGrpd_mean.run_id(loopFiltGrpd, :)};
+        pair_two = {'Rate', dataTableGrpd_mean.bitrate(loopFiltGrpd, :) * 1e-9};
+        pair_three = {'PD in', round(dataTableGrpd_mean.power_pd_in(loopFiltGrpd, :), 2)};
+        addDatatips(plt, pair_one, pair_two, pair_three);
 
-    % Style the main line: thinnest, dotted, no marker
-    set(hl, 'LineWidth', 1, 'LineStyle', '-', 'Marker', 'none', ...
-        'Color', cols(i,:), 'DisplayName', string(dispname));
-
-    % Hide patch (shaded area) from legend
-    set(hp, 'HandleVisibility', 'off','LineStyle',':','LineWidth',0.5,'Marker','none');
-
-    % Add invisible scatter for DataTips
-    sc_fake = scatter(x_values, y_mean, ...
-        'Marker', 'o', 'MarkerEdgeColor', 'none', 'MarkerFaceColor', 'none', ...
-        'HandleVisibility', 'off', 'PickableParts', 'all');
-
-    % Add data tips to the invisible scatter
-    pair_one = {'Run ID', dataTableGrpd_mean.run_id(loopFiltGrpd, :)};
-    pair_two = {'Rate', dataTableGrpd_mean.bitrate(loopFiltGrpd, :) * 1e-9};
-    pair_three = {'PD in', round(dataTableGrpd_mean.power_pd_in(loopFiltGrpd, :), 2)};
-    addDatatips(sc_fake, pair_one, pair_two, pair_three);
+    
 
     % Optionally: outline bounds for better visibility (optional)
     % hnew = outlinebounds(hl, hp);
@@ -145,6 +166,8 @@ if y_var == 'BER'
     ylim([1e-5, 0.1]);
 end
 
+xlim([15,50]);
+
 % Enable grid and beautify
 grid on;
 beautifyBERplot;