nicer graph

src/ntp_routes.py

@@ -168,3 +168,60 @@ def plot_png():
     
     return Response(img_io, mimetype='image/png')
 
+
+@app.route('/plot2.png')
+def plot2_png():
+    dbh = psycopg.connect()
+    engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)
+    query = """
+      select   time_bucket('5 minutes', time) as bucket,
+        attributes->>'Label' as device,
+        avg(cast(values->'rootdisp'->>'value'  as float)) as rootdisp,
+        max(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 = 'SNMP' and attributes->>'Label' IN ('harrison', 'david')
+      group by bucket, attributes->>'Label'
+      order by bucket, attributes->>'Label'
+    """
+    df = pd.read_sql(query, con=engine)
+    
+    df['rootdisp'] = df['rootdisp'] / 1e6
+
+    
+    # Extract date for title
+    plot_date = df['bucket'].dt.date.iloc[0] if not df.empty else "Unknown Date"
+    
+    # Create figure with two side-by-side subplots
+    fig, axes = plt.subplots(1, 2, figsize=(15, 5), sharex=True)
+    
+    for i, device in enumerate(['harrison', 'david']):
+        ax1 = axes[i]
+        ax2 = ax1.twinx()
+        
+        device_df = df[df['device'] == device]
+        
+        ax1.plot(device_df['bucket'], device_df['rootdisp'], 'r-', label='Root Dispersion')
+        ax1.set_xlabel('Time')
+        ax1.set_ylabel('Root Dispersion (ms)', color='r')
+        ax1.tick_params(axis='y', labelcolor='r')
+        
+        ax2.plot(device_df['bucket'], device_df['stratum'], 'b--', label='Stratum')
+        ax2.set_ylabel('Stratum', color='b')
+        ax2.tick_params(axis='y', labelcolor='b')
+        ax2.set_yticks(range(int(device_df['stratum'].min()), int(device_df['stratum'].max()) + 1))
+        
+        ax1.set_title(f'{device.capitalize()}')
+        
+        ax1.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
+        fig.autofmt_xdate(rotation=45)
+    
+    fig.suptitle(f'NTP Server Comparison - {plot_date}')
+    fig.tight_layout()
+    
+    img_io = io.BytesIO()
+    plt.savefig(img_io, format='png')
+    img_io.seek(0)
+    plt.close(fig)
+
+    return Response(img_io, mimetype='image/png')