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Author SHA1 Message Date
Wolfgang Hottgenroth
c93ae4067e more graphs, 5
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2025-02-12 13:38:26 +01:00
Wolfgang Hottgenroth
1bbfdf65fb more graphs, 3
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2025-02-12 13:28:29 +01:00
Wolfgang Hottgenroth
315ad9998b more graphs, 2
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2025-02-12 13:18:41 +01:00
Wolfgang Hottgenroth
047a3a6c08 more graphs
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2025-02-12 13:14:01 +01:00
Wolfgang Hottgenroth
5573024fd9 ticksuffix, 2
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2025-02-12 12:54:33 +01:00
Wolfgang Hottgenroth
a58f914c40 ticksuffix
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2025-02-12 12:45:52 +01:00
1 changed files with 53 additions and 4 deletions
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57
src/run.py
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@ -159,7 +159,7 @@ def ntpserver():
select time_bucket('5 minutes', time) as bucket, select time_bucket('5 minutes', time) as bucket,
device, device,
avg(cast(values->'rootdisp'->>'value' as float)) as rootdisp, avg(cast(values->'rootdisp'->>'value' as float)) as rootdisp,
avg(cast(values->'stratum'->>'value' as int)) as stratum max(cast(values->'stratum'->>'value' as int)) as stratum
from measurements from measurements
where time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval and where time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval and
application = 'TSM' and attributes->>'Label' = 'david' application = 'TSM' and attributes->>'Label' = 'david'
@ -178,7 +178,8 @@ def ntpserver():
# Linke Y-Achse # Linke Y-Achse
yaxis=dict( yaxis=dict(
title='Root Dispersion' title='Root Dispersion',
ticksuffix=' ms'
), ),
# Rechte Y-Achse # Rechte Y-Achse
@ -193,8 +194,54 @@ def ntpserver():
legend=dict(x=0.05, y=1) # Position der Legende legend=dict(x=0.05, y=1) # Position der Legende
) )
graph_html_1 = fig.to_html(full_html=False, default_height='30%')
graph_html = fig.to_html(full_html=False, default_height='30%') query = """
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
from measurements
where time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval and
application = 'SNMP' and attributes->>'Label' = 'david'
group by bucket, device
order by bucket, device
"""
df = pd.read_sql(query, con=engine)
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(
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 time_bucket('5 minutes', time) as bucket,
device,
avg(cast(values->'local'->>'value' as float)) as loadAverage1Min
from measurements
where time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval and
application = 'SNMP' and attributes->>'Label' = 'david'
group by bucket, device
order by bucket, device
"""
df = pd.read_sql(query, con=engine)
fig_3 = px.line(df, x='bucket', y='loadAverage1Min')
fig_3.update_layout(
xaxis_title="",
yaxis_title="",
title=f"CPU Load"
)
graph_html_3 = fig_3.to_html(full_html=False, default_height='30%')
return render_template_string(f""" return render_template_string(f"""
<html> <html>
@ -202,7 +249,9 @@ def ntpserver():
<title>NTP Server Numbers</title> <title>NTP Server Numbers</title>
</head> </head>
<body> <body>
{graph_html} {graph_html_1}
{graph_html_2}
{graph_html_3}
</body> </body>
</html> </html>
""") """)