Fixed issue with Flask & 2D View improved

VS2N.py

@@ -268,6 +268,7 @@ class VS2N():
 
             # Loading Modules to Dashboard
             layout().load(self.app_vis, self.g)
+            return "done"
         
     def Module(self, n, g):
         """ Helper function to execute each module sparks pre processing (if exist)

src/Modules/General/callbacks.py

@@ -566,6 +566,7 @@ class callbacks(callbacksOp):
                         elements = super.Spikes2D
                         matrix = {}
                         indices = {}
+                        labelData = getNetworkInput(int(sliderValue)*float(updateInterval), g.updateInterval)
                         if callback_context.triggered[0]['prop_id'].split('.')[0] in ["v-step","vis-update"]:
                             super.SpikesActivityPerInput = {i:[[0 for j in range(g.nbrClasses+1)] for i in range(g.Layer_Neuron[i])] for i in g.Layer_Neuron if i != "Input"}
                             for element in elements:
@@ -611,7 +612,7 @@ class callbacks(callbacksOp):
 
                             heatmaps = [{"data":[go.Heatmap(z = matrix[layer], colorscale= 'Reds', customdata = indices[layer], hovertemplate=('Neuron: %{customdata} <br>Spikes: %{z} <extra></extra>'),xgap=4,ygap=4)],"layout":{"xaxis":dict(showgrid = False, zeroline = False),"yaxis":dict(autorange = 'reversed',scaleanchor = 'x',showgrid = False, zeroline = False),"margin":{'l': 0, 'r': 0, 't': 5, 'b': 0},"uirevision":'no reset of zoom', "hoverlabel_align": 'right'}} for layer in super.AccumulatedSpikes2D]
 
-                            SpikesActivityPerInput = [{"data":[go.Heatmap(z=super.SpikesActivityPerInput[layer], colorscale= 'Reds',hovertemplate=('Class: %{x} <br>Neuron: %{y} <br>Spikes: %{z} <extra></extra>'),xgap=4,ygap=4)],"layout":{"xaxis":dict(title="Class",tickmode="array",zeroline = False,tickvals=[i for i in range(g.nbrClasses+1)]),"yaxis":dict(title="Neuron",zeroline = False),"margin":{'r': 0,'t': 0},"uirevision":'no reset of zoom'}} for layer in super.SpikesActivityPerInput]
+                            SpikesActivityPerInput = [make_SpikeActivityPerInput(layer,labelData) for layer in super.SpikesActivityPerInput]
                             return [elements,[],heatmaps,SpikesActivityPerInput]
                         else:
                             
@@ -628,7 +629,7 @@ class callbacks(callbacksOp):
 
                                 heatmaps = [{"data":[go.Heatmap(z = matrix[layer], colorscale= 'Reds', customdata = indices[layer], hovertemplate=('Neuron: %{customdata} <br>Spikes: %{z} <extra></extra>'),xgap=4,ygap=4)],"layout":{"xaxis":dict(showgrid = False, zeroline = False),"yaxis":dict(autorange = 'reversed',scaleanchor = 'x',showgrid = False, zeroline = False),"margin":{'l': 0, 'r': 0, 't': 5, 'b': 0},"uirevision":'no reset of zoom', "hoverlabel_align": 'right'}} for layer in super.AccumulatedSpikes2D]
 
-                                SpikesActivityPerInput = [{"data":[go.Heatmap(z=super.SpikesActivityPerInput[layer], colorscale= 'Reds',hovertemplate=('Class: %{x} <br>Neuron: %{y} <br>Spikes: %{z} <extra></extra>'),xgap=4,ygap=4)],"layout":{"xaxis":dict(title="Class",tickmode="array",zeroline = False,tickvals=[i for i in range(g.nbrClasses+1)]),"yaxis":dict(title="Neuron",zeroline = False),"margin":{'r': 0,'t': 0},"uirevision":'no reset of zoom'}} for layer in super.SpikesActivityPerInput]
+                                SpikesActivityPerInput = [make_SpikeActivityPerInput(layer,labelData) for layer in super.SpikesActivityPerInput]
                                 return [elements,f"Neuron {mouseOverNodeData['label']} : {mouseOverNodeData['spikes']}" if 'spikes' in mouseOverNodeData else "", heatmaps,SpikesActivityPerInput]
                             except Exception:
                                 print("OnHover:"+traceback.format_exc())
@@ -691,7 +692,17 @@ class callbacks(callbacksOp):
                 else:
                     res.append(getLoss(timestamp, g.updateInterval))
                 return res
-
+                
+            def make_SpikeActivityPerInput(layer,dataLabel):
+                fig = make_subplots(rows=5, cols=1, shared_xaxes=True, vertical_spacing=0.08, specs=[[{'rowspan': 4}],[None],[None],[None],[{'rowspan': 1}]])
+                fig.add_trace(go.Heatmap(z=super.SpikesActivityPerInput[layer], colorscale= 'Reds',hovertemplate=('Class: %{x} <br>Neuron: %{y} <br>Spikes: %{z} <extra></extra>'),xgap=4,ygap=4),row=1, col=1)
+                fig.update_layout({"xaxis":dict(title="Class",tickmode="array",zeroline = False,tickvals=[i for i in range(g.nbrClasses+1)]),"yaxis":dict(title="Neuron",zeroline = False),"margin":{'l': 0, 'r': 0, 't': 5, 'b': 0},"uirevision":'no reset of zoom'})
+                if dataLabel == None:
+                    fig.add_trace(go.Bar(x=[],y=[],hovertemplate=('Label: %{x} <br>Nbr: %{y} <extra></extra>')),row=5, col=1)
+                else:
+                    fig.add_trace(go.Bar(x=list(dataLabel[0].keys()),y=list(dataLabel[0].values()),hovertemplate=('Label: %{x} <br>Nbr: %{y} <extra></extra>')),row=5, col=1)
+                fig.update_xaxes(tickvals=[i for i in range(g.nbrClasses+1)])
+                return fig
             # ---------------------------------------------------------
             # MongoDB operations
             # ---------------------------------------------------------