ntp server numbers

2025-02-11 16:52:51 +01:00 · 2025-02-11 16:52:51 +01:00 · 73b55b05c4
commit 73b55b05c4
parent aa74c02498
1 changed files with 67 additions and 0 deletions
--- a/src/run.py
+++ b/src/run.py
@ -7,6 +7,7 @@ import redis
 import json
 import os
 import plotly.express as px
+import plotly.graph_objects as po
 import pandas as pd
 import psycopg
 import sqlalchemy
@ -148,6 +149,72 @@ def index():
            dbh.close()


+@app.route('/ntpserver')
+def ntpserver():
+    try:
+        dbh = psycopg.connect()
+        engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)
+
+        query = """
+          select   time_bucket('5 minutes', time) as bucket,
+            device,
+            avg(cast(values->'rootdisp'->>'value'  as float)) as rootdisp,
+            avg(cast(values->'stratum'->>'value'  as int)) as stratum
+          from measurements
+          where time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval and 
+            application = 'TSM' and attributes->>'Label' = 'david'
+          group by bucket, device
+          order by bucket, device
+        """      
+
+        df = pd.read_sql(query, con=engine)
+
+        fig = po.Figure()
+        fig.add_trace(po.Scatter(x=df['bucket'], y=df['rootdisp'], mode='lines', name='Root Dispersion', yaxis='y1', line=dict(color='red')))
+        fig.add_trace(po.Scatter(x=df['bucket'], y=df['stratum'], mode='lines', name='Stratum', yaxis='y2', line=dict(color='blue')))
+
+        fig.update_layout(
+            title='NTP Server Numbers',
+            
+            # Linke Y-Achse
+            yaxis=dict(
+                title='Root Dispersion'
+            ),
+            
+            # Rechte Y-Achse
+            yaxis2=dict(
+                title='Stratum',
+                overlaying='y',  # Legt die zweite Y-Achse über die erste
+                side='right',  # Setzt sie auf die rechte Seite
+                tickmode='linear',  # Stellt sicher, dass die Ticks in festen Intervallen sind
+                dtick=1,  # Zeigt nur ganzzahlige Ticks
+            ),
+            
+            legend=dict(x=0.05, y=1)  # Position der Legende
+        )
+
+
+        graph_html = fig.to_html(full_html=False, default_height='30%')
+
+        return render_template_string(f"""
+            <html>
+                <head>
+                    <title>NTP Server Numbers</title>
+                </head>
+                <body>
+                    {graph_html}
+                </body>
+            </html>
+        """)
+    except Exception as e:
+        raise Exception(f"Error when querying NTP server values: {e}")
+    finally:
+        if dbh is not None:
+            dbh.close()
+
+
+
+


 if __name__ == '__main__':