Accept a single pivotFrame parameter and add debug print statements for alarm counts in explore_paths.py and home.py

Author: petya-vasileva

src/pages/explore_paths.py

@@ -347,10 +347,11 @@ def format_asn_string_and_total_count(group):
 
 
 # '''Takes the sites from the dropdown list and generates a Dash datatable'''
-def generate_tables(frame, pivotFrames, event, alarmsInst):
-    ids = pivotFrames['id'].values
+def generate_tables(frame, pivotFrame, event, alarmsInst):
+    ids = pivotFrame['id'].values
     dfr = frame[frame.index.isin(ids)]
     dfr = alarmsInst.formatDfValues(dfr, event).sort_values('to', ascending=False)
+    print('Paths page,', event, "Number of alarms:", len(dfr))
 
     element = html.Div([
         html.Br(),
@@ -407,6 +408,7 @@ def addNetworkOwners(df, labels):
 
 # ''' Prepares the data for the Sankey diagram'''
 def data4Sankey(sandf):
+    sandf = sandf[~sandf['diff'].isin(['No data', '0', 0])]
     typical = [f't{n}' for n in sandf['jumpedFrom'].unique().tolist()]
     diff = [f'd{n}' for n in sandf['diff'].unique().tolist()]
     src = [f'src_{n}' for n in sandf['src_site'].unique().tolist()]

src/pages/home.py

@@ -664,12 +664,13 @@ def create_bar_chart(graphData):
     return fig
 
 
-# '''Takes selected site from the Geo map and generates a Dash datatable'''
+# '''Takes selected site from the dropdpwn and generates a Dash datatable'''
 def generate_tables(frame, unpacked, event, alarmsInst):
     ids = unpacked['id'].values
     dfr = frame[frame.index.isin(ids)]
     dfr = alarmsInst.formatDfValues(dfr, event)
     dfr.sort_values('to', ascending=False, inplace=True)
+    print('Home page,', event, "Number of alarms:", len(dfr))
 
     try:
         element = html.Div([