ntp server numbers

timing
2025-02-11 16:52:51 +01:00 · 2025-01-31 10:29:42 +01:00 · 2025-01-31 10:19:03 +01:00 · 2025-01-30 17:37:55 +01:00 · 2025-01-30 17:24:18 +01:00 · 2025-01-30 17:16:08 +01:00
1 changed files with 76 additions and 5 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
@ -122,15 +123,19 @@ def index():
                    {graph_html_2}
                    {graph_html_3}
                    <div style="height:9vh; background-color:lightgrey; font-family: Courier, Consolas, monospace;">
-                      <table>
+                      <table style="border-collapse: collapse;">
                        <style>
                          td.smallsep {{ padding-right: 10px }}
                          td.largesep {{ padding-right: 30px }}
                        </style> 
                        <tr>
-                          <td>{duration1:.3f}</td><td>{duration2:.3f}</td>
+                          <td class="smallsep">Query 1:</td><td class="largesep"> {duration1:.3f} s</td><td class="smallsep">Graph 1:</td><td> {duration2:.3f} s</td>
                        </tr><tr>
-                          <td>{duration3:.3f}</td><td>{duration4:.3f}</td>
+                          <td class="smallsep">Query 2:</td><td class="largesep"> {duration3:.3f} s</td><td class="smallsep">Graph 2:</td><td> {duration4:.3f} s</td>
                        </tr><tr>
-                          <td>{duration5:.3f}</td><td>{duration6:.3f}</td>
+                          <td class="smallsep">Query 3:</td><td class="largesep"> {duration5:.3f} s</td><td class="smallsep">Graph 3:</td><td> {duration6:.3f} s</td>
                        </tr><tr>
-                          <td>{duration7:.3f}</td>
+                          <td class="smallsep">Total:</td><td> {duration7:.3f} s</td><td></td><td></td>
                        </tr>
                      </table>   
                    </div>
@ -144,6 +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__':
Author	SHA1	Message	Date
Wolfgang Hottgenroth	73b55b05c4	ntp server numbers Some checks failed ci/woodpecker/tag/woodpecker Pipeline failed Details ci/woodpecker/push/woodpecker Pipeline failed Details	2025-02-11 16:52:51 +01:00
Wolfgang Hottgenroth	aa74c02498	timing All checks were successful ci/woodpecker/tag/woodpecker Pipeline was successful Details ci/woodpecker/push/woodpecker Pipeline was successful Details	2025-01-31 10:29:42 +01:00
Wolfgang Hottgenroth	6fd2bd0863	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-31 10:19:03 +01:00
Wolfgang Hottgenroth	2c78fba3a6	timing All checks were successful ci/woodpecker/tag/woodpecker Pipeline was successful Details ci/woodpecker/push/woodpecker Pipeline was successful Details	2025-01-30 17:37:55 +01:00
Wolfgang Hottgenroth	86b883569f	timing Some checks failed ci/woodpecker/push/woodpecker Pipeline failed Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 17:24:18 +01:00
Wolfgang Hottgenroth	ba86a08632	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 17:16:08 +01:00
Wolfgang Hottgenroth	0b61a18eb1	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 17:10:01 +01:00