wn/numbers
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

ntp server numbers
Some checks failed
ci/woodpecker/tag/woodpecker Pipeline failed
Details
ci/woodpecker/push/woodpecker Pipeline failed
Details

Browse Source
This commit is contained in:
Wolfgang Hottgenroth 2025-02-11 16:52:51 +01:00
parent aa74c02498
commit 73b55b05c4
Signed by: wn
GPG Key ID: 18FDFA577A8871AD
1 changed files with 67 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

67
src/run.py
View File

@ -7,6 +7,7 @@ import redis
import json import json
import os import os
import plotly.express as px import plotly.express as px
import plotly.graph_objects as po
import pandas as pd import pandas as pd
import psycopg import psycopg
import sqlalchemy import sqlalchemy
@ -148,6 +149,72 @@ def index():
dbh.close() 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__': if __name__ == '__main__':