more graphs, 5

src/run.py

@@ -195,8 +195,9 @@ def ntpserver():
         )
 
         graph_html_1 = fig.to_html(full_html=False, default_height='30%')
+
         query = """
-            select   tiem_bucket('5 minutes', time) as bucket,
+            select   time_bucket('5 minutes', time) as bucket,
               device,
               avg(cast(values->'lan-out'->>'value'  as int)) as outOctetsPerSeconds,
               avg(cast(values->'lan-in'->>'value'  as int)) as inOctetsPerSeconds    
@@ -207,17 +208,24 @@ def ntpserver():
             order by bucket, device
         """
         df = pd.read_sql(query, con=engine)
-        fig_2 = px.line(df, x='bucket', y=['outOctetsPerSeconds', 'inOctetsPerSeconds'])
+        fig_2 = po.Figure()
+        fig_2.add_trace(po.Scatter(x=df['bucket'], y=df['outOctetsPerSeconds'], mode='lines', name='Outbound Traffic', line=dict(color='green')))
+        fig_2.add_trace(po.Scatter(x=df['bucket'], y=df['inOctetsPerSeconds'], mode='lines', name='Inbound Traffic', line=dict(color='blue')))
+
         fig_2.update_layout(
-            xaxis_title="",
-            yaxis_title="",
-            title=f"Network Load",
-            yaxis=dict(ticksuffix=" KiB/s")
+            title='Network Load',
+            
+            # Linke Y-Achse
+            yaxis=dict(
+                ticksuffix=' KiB/s'
+            ),
+            
+            legend=dict(x=0.05, y=1)  # Position der Legende
         )
         graph_html_2 = fig_2.to_html(full_html=False, default_height='30%')
 
         query = """
-            select   tiem_bucket('5 minutes', time) as bucket,
+            select   time_bucket('5 minutes', time) as bucket,
               device,
               avg(cast(values->'local'->>'value'  as float)) as loadAverage1Min
             from measurements