Working on running the service locally

connectome_evaluator.m

@@ -55,10 +55,10 @@
 % We brighten the symbols to use them as background.
 Generate_Fig3_paper_Caiafa_Pestilli('gray')
 
-% We load the FE structure from the file path stored locally on the SCA
-% configuration file.
-%
-load(config.input_fe)
+% If we were about to read from disk the path to the input FE strcutre we
+% should now be abel to load it.
+disp('Loading FE strcutre from sca config file...')
+load(config.input_fe);
 
 % We use the core function feGet.m to extract the RMSE and the B0 (MRI
 % measureemnts without the diffusion-weighted gradient applied).
@@ -69,15 +69,16 @@
 % We find the positive weights and disregard the NaNs. THen compute the
 % number of postive weights (number of fascicles with non-zero weight, alse
 % referred to as conenctome density).
+
 output_sbj.nnz = feGet(fe,'connectome density'); 
 
 % Finally we add the new data point to the plot we have generted. This si
 % doen by plotting connectome density on the ordinate and RMSE on the
 % abscissa.
-fh = Add_new_data_point(output_sbj,'cold',2)
+fh = Add_new_data_point(output_sbj,'cold',2);
 
 % Write figure to disk.
-fig_file_name = feSavefig(h,)
+%fig_file_name = feSavefig(h,)
 
 % Try to modify the jason file
 %
@@ -88,7 +89,32 @@
 
 end
 
+%
 % Below is a series of local helper functions.
+%
+function [] = Add_new_data_point(sbj,color_type,order)
+%
+% This function adds a new data point precomputed into the scater plot that
+% compares connectome prediction error and resolution.
+%
+c = getNiceColors(color_type);
+
+%% scatter plot
+a = 0.5;
+
+switch sbj.alg
+    case 'PROB'
+        plot(sbj.rmse, sbj.nnz,'o','markerfacecolor',c(order,:),'markeredgecolor','k','linewidth',a,'markersize',14,'DisplayName',[sbj.name,' ',sbj.alg])
+    case 'DET'
+        plot(sbj.rmse, sbj.nnz,'s','markerfacecolor',c(order,:),'markeredgecolor','k','linewidth',a,'markersize',14,'DisplayName',[sbj.name,' ',sbj.alg])
+    case 'TENSOR'
+        plot(sbj.rmse, sbj.nnz,'d','markerfacecolor',c(order,:),'markeredgecolor','k','linewidth',a,'markersize',14,'DisplayName',[sbj.name,' ',sbj.alg])
+end
+
+drawnow
+
+end
+
 function [] = Generate_Fig3_paper_Caiafa_Pestilli(color_mode)
 %
 % Load data from the demo data repositroy and geenrate a plot similar to
@@ -327,29 +353,5 @@
 end
 
 
-function [] = Add_new_data_point(sbj,color_type,order)
-%
-% This function adds a new data point precomputed into the scater plot that
-% compares connectome prediction error and resolution.
-%
-c = getNiceColors(color_type);
-
-%% scatter plot
-a = 0.5;
-
-switch sbj.alg
-    case 'PROB'
-        plot(sbj.rmse, sbj.nnz,'o','markerfacecolor',c(order,:),'markeredgecolor','k','linewidth',a,'markersize',14,'DisplayName',[sbj.name,' ',sbj.alg])
-    case 'DET'
-        plot(sbj.rmse, sbj.nnz,'s','markerfacecolor',c(order,:),'markeredgecolor','k','linewidth',a,'markersize',14,'DisplayName',[sbj.name,' ',sbj.alg])
-    case 'TENSOR'
-        plot(sbj.rmse, sbj.nnz,'d','markerfacecolor',c(order,:),'markeredgecolor','k','linewidth',a,'markersize',14,'DisplayName',[sbj.name,' ',sbj.alg])
-end
-
-drawnow
-
-end
-
-
 
 

main.m

@@ -1,4 +1,8 @@
-
+function config = main()
+%
+%
+%
+%
 disp('loading application paths')
 
 %TODO - move this to more permanent location - probably even /N/soft?
@@ -8,15 +12,15 @@
 
 addpath('lib')
 
-%disp("loading demo data")
-%addpath(genpath('/N/dc2/scratch/hayashis/sca/demo_data_encode'))
+disp('loading demo data')
+addpath(genpath('/N/dc2/scratch/hayashis/sca/demo_data_encode'));
 
-config = loadjson('config.json')
+config = loadjson('config.json');
 disp(config)
 
-disp('running connectome_data_comparison')
-connectome_data_comparison(config)
+disp('running connectome_evaluator')
+connectome_evaluator(config);
 
 %all sca service needs to write products.json - empty for now
-products = []
+products = [];
 savejson('', products, 'FileName', 'products.json')