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0.2.1 ... 0.3.1

Author SHA1 Message Date
1774bb11aa change public name
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2025-02-13 11:37:13 +01:00
d19ac55dea time reqs, 2
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2025-02-13 11:09:18 +01:00
4db989022e time reqs
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2025-02-13 10:59:17 +01:00
af76406afa packets, 3
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2025-02-12 19:01:58 +01:00
d85c32247e packets, 2
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2025-02-12 18:48:37 +01:00
ba7b86e527 packets
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2025-02-12 18:42:27 +01:00
c93ae4067e more graphs, 5
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2025-02-12 13:38:26 +01:00
1bbfdf65fb more graphs, 3
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2025-02-12 13:28:29 +01:00
315ad9998b more graphs, 2
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2025-02-12 13:18:41 +01:00
047a3a6c08 more graphs
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2025-02-12 13:14:01 +01:00
5573024fd9 ticksuffix, 2
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2025-02-12 12:54:33 +01:00
a58f914c40 ticksuffix
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2025-02-12 12:45:52 +01:00
2 changed files with 48 additions and 7 deletions

View File

@ -48,10 +48,10 @@ metadata:
spec:
tls:
- hosts:
- pv-stats.hottis.de
secretName: pv-stats-cert
- numbers.hottis.de
secretName: numbers-cert
rules:
- host: pv-stats.hottis.de
- host: numbers.hottis.de
http:
paths:
- path: /

View File

@ -159,7 +159,7 @@ def ntpserver():
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
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 = 'TSM' and attributes->>'Label' = 'david'
@ -178,7 +178,8 @@ def ntpserver():
# Linke Y-Achse
yaxis=dict(
title='Root Dispersion'
title='Root Dispersion',
ticksuffix=' ms'
),
# Rechte Y-Achse
@ -193,8 +194,46 @@ def ntpserver():
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->'time-req-pkts'->>'value' as float)) as packets
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 = px.line(df, x='bucket', y='packets')
fig_2.update_layout(
xaxis_title="",
yaxis_title="",
yaxis_ticksuffix="p/s",
title=f"Time Requests"
)
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->'load1'->>'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"""
<html>
@ -202,7 +241,9 @@ def ntpserver():
<title>NTP Server Numbers</title>
</head>
<body>
{graph_html}
{graph_html_1}
{graph_html_2}
{graph_html_3}
</body>
</html>
""")