diff --git a/src/Global_Var.py b/src/Global_Var.py
index cdee7c800aeddb5684deddee55a25ef1031b10ad..69e6dcf3c6cafdb35669d49e42891f9cb3423bf6 100755
--- a/src/Global_Var.py
+++ b/src/Global_Var.py
@@ -114,8 +114,6 @@ class Global_Var():
"""
self.db = self.client[name]
- millis = int(round(time.time() * 1000))
-
if ('labels' in self.db.list_collection_names()):
col = pymongo.collection.Collection(self.db, 'labels')
col.create_index([("T", 1)])
diff --git a/src/Modules/General/callbacks.py b/src/Modules/General/callbacks.py
index b977683da557e5de078a42e9d06b8d0bd823914a..d7a98d44d2eff1e266de9929caed209e74ab763c 100755
--- a/src/Modules/General/callbacks.py
+++ b/src/Modules/General/callbacks.py
@@ -116,7 +116,7 @@ class callbacks(callbacksOp):
mode='lines+markers',
text=list(super.xAxisLabel),
customdata=list(super.SynapseGraphY[layer]),
- hovertemplate="%{text} <br> <b>%{customdata}</b> <br> <b>Max</b> "+str(super.MaxSynapse[layer])))
+ hovertemplate="<span style='color:white;''>%{text} <br> <b>%{customdata}</b> <br> <b>Max</b> "+str(super.MaxSynapse[layer])+"<\span>"))
if(f == "Potentials"):
if(layer not in super.PotentialGraphY):
super.PotentialGraphY[layer] = deque(maxlen=100)
@@ -761,7 +761,6 @@ class callbacks(callbacksOp):
if (str(l["Label"]) != str(a["Input"])):
loss += 1
- print(loss)
return round((loss*100) / len(spikes), 2)
# ---------------------------------------------------------------------
diff --git a/src/Modules/General/layout.py b/src/Modules/General/layout.py
index 997ad787b59b2609822c48f61ad2c3b5ccb11c00..504b76e8c4df45ec407f82c1cbfc8429a7543302 100755
--- a/src/Modules/General/layout.py
+++ b/src/Modules/General/layout.py
@@ -136,16 +136,16 @@ class layout(layoutOp):
id='GeneralGraphFilter',
options=[{'label': "Spikes", 'value': "Spikes"}, {'label': "Synapses activity", 'value': "Synapses"}, {
'label': "Neurons potential", 'value': "Potentials"}],
- value=['Spikes'],
+ value=["Spikes","Synapses","Potentials"],
multi=True,
style={"minWidth": "20%", "marginLeft": "10px", "textAlign": "start"}),
# Layers filter
dcc.Dropdown(
id='GeneralLayerFilter',
options=[{'label': str(i), 'value': str(i)} for i in (
- i for i in self.g.Layer_Neuron if i != "Input")],
+ i for i in self.g.Layer_Neuron if ("Input" not in i and "pool" not in i))],
value=[str(i) for i in (
- i for i in self.g.Layer_Neuron if i != "Input")],
+ i for i in self.g.Layer_Neuron if ("Input" not in i and "pool" not in i))],
multi=True,
style={"minWidth": "20%", "marginLeft": "15px", "textAlign": "start"})], className="d-flex", style={"paddingLeft": "20px", 'width': '100%'})
], className="col-12")
diff --git a/src/Modules/Synapse/callbacks.py b/src/Modules/Synapse/callbacks.py
index 0e4744278d2af0ece842b6566562cfc621a65456..6d73376175a3a3322817a0bae883610728ef8a3e 100755
--- a/src/Modules/Synapse/callbacks.py
+++ b/src/Modules/Synapse/callbacks.py
@@ -680,15 +680,18 @@ class callbacks(callbacksOp):
# MongoDB---------------------
col = pymongo.collection.Collection(g.db, 'synapseWeightFinal')
- globalSynapseWeights = col.aggregate([{"$match": { "L": {"$eq": layer}}}])
+ globalSynapseWeights = col.aggregate([{"$match": { "_id.L": {"$eq": layer}}}])
# ToDF----------------------
globalSynapseWeights = pd.DataFrame(list(globalSynapseWeights))
- globalSynapseWeights["To"] = globalSynapseWeights["_id"].map(lambda i: i["To"])
- globalSynapseWeights["C"] = globalSynapseWeights["_id"].map(lambda i: i["C"])
- globalSynapseWeights["x"] = globalSynapseWeights["_id"].map(lambda i: i["index"]["x"])
- globalSynapseWeights["y"] = globalSynapseWeights["_id"].map(lambda i: i["index"]["y"])
- globalSynapseWeights.drop(columns=["_id"])
+
+ if(not globalSynapseWeights.empty):
+ globalSynapseWeights["To"] = globalSynapseWeights["_id"].map(lambda i: i["To"])
+ globalSynapseWeights["C"] = globalSynapseWeights["_id"].map(lambda i: i["C"])
+ globalSynapseWeights["x"] = globalSynapseWeights["_id"].map(lambda i: i["index"]["x"])
+ globalSynapseWeights["y"] = globalSynapseWeights["_id"].map(lambda i: i["index"]["y"])
+ globalSynapseWeights["L"] = globalSynapseWeights["_id"].map(lambda i: i["L"])
+ globalSynapseWeights.drop(columns=["_id"])
# ----------------------------
return globalSynapseWeights
diff --git a/src/Modules/Synapse/spark.py b/src/Modules/Synapse/spark.py
index 8a2f89b2b5cbbda60928be0a06f4f4ac80a5a8f2..8bc9edf62640b028493b194b1375eb5677627e59 100755
--- a/src/Modules/Synapse/spark.py
+++ b/src/Modules/Synapse/spark.py
@@ -35,7 +35,7 @@ class spark(sparkOp):
# --------------------------------------------------
df = self.g.sparkSession.read.format("com.mongodb.spark.sql") \
.option("spark.mongodb.input.uri", self.MONGODBURL + self.g.name + "."+self.DOCUMENT_NAME+"?authSource=admin&readPreference=primaryPreferred") \
- .option("pipeline", "[{ $sort: { T: 1 } },{$group : { _id : {To:'$To', C:'$C', index:'$index' }, L : { $last: '$L'}, T : { $last: '$T'},V : { $last: '$V'} } }]")
+ .option("pipeline", "[{ $sort: { T: 1 } },{$group : { _id : {To:'$To', C:'$C', index:'$index', L:'$L'}, T : { $last: '$T'},V : { $last: '$V'} } }]")
df = df.load()
@@ -54,7 +54,7 @@ class spark(sparkOp):
col.create_index([("_id", 1)])
col.create_index([("_id.To", 1),("_id.C", 1)])
col.create_index([("T", 1)])
- col.create_index([("index", 1)])
+ col.create_index([("_id.index", 1)])
col.create_index([("V", 1)])
# --------------------------------------------------------