From 95febf21c8c8962d1803109749afb4ace7a9542d Mon Sep 17 00:00:00 2001
From: Hammouda Elbez <hammouda.elbez@univ-lille.fr>
Date: Mon, 15 May 2023 13:49:48 +0200
Subject: [PATCH] Fixed issue with Flask & 2D View improved
---
VS2N.py | 1 +
src/Modules/General/callbacks.py | 17 ++++++++++++++---
2 files changed, 15 insertions(+), 3 deletions(-)
diff --git a/VS2N.py b/VS2N.py
index 13671d2..ed1580f 100755
--- a/VS2N.py
+++ b/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)
diff --git a/src/Modules/General/callbacks.py b/src/Modules/General/callbacks.py
index 38c1a47..4621579 100755
--- a/src/Modules/General/callbacks.py
+++ b/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
# ---------------------------------------------------------
--
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