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Author SHA1 Message Date
3d05ea5d28 import kaleido
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2025-02-11 19:58:08 +01:00
52217c5251 still kaleido
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2025-02-11 19:53:48 +01:00
022d7a8926 merged
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2025-02-11 19:52:27 +01:00
698f926376 Merge branch 'main' of gitea.hottis.de:wn/pv-stats 2025-02-11 19:52:10 +01:00
f74ad50b94 kaleido 2025-02-11 19:52:04 +01:00
0c03d9f94e add kaleido, 3
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2025-02-11 19:49:49 +01:00
eca5affd53 add kaleido, 2
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2025-02-11 19:48:09 +01:00
6236673d28 add kaleido
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2025-02-11 19:47:07 +01:00
4213dc7329 ntp as png
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2025-02-11 19:42:19 +01:00
2d3eab0db8 disable trivy for the moment
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2025-02-11 16:59:58 +01:00
73b55b05c4 ntp server numbers
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2025-02-11 16:52:51 +01:00
aa74c02498 timing
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2025-01-31 10:29:42 +01:00
6fd2bd0863 timing
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2025-01-31 10:19:03 +01:00
2c78fba3a6 timing
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2025-01-30 17:37:55 +01:00
86b883569f timing
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2025-01-30 17:24:18 +01:00
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2025-01-30 17:16:08 +01:00
0b61a18eb1 timing
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2025-01-30 17:10:01 +01:00
1418603007 timing
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2025-01-30 16:59:36 +01:00
3 changed files with 68 additions and 13 deletions

View File

@ -13,12 +13,6 @@ steps:
dockerfile: Dockerfile
when:
- event: [push, tag]
scan_image:
image: aquasec/trivy
commands:
- TRIVY_DISABLE_VEX_NOTICE=1 trivy image $FORGE_NAME/$CI_REPO:$CI_COMMIT_SHA --quiet --exit-code 1
when:
- event: [push, tag]
deploy:
image: quay.io/wollud1969/k8s-admin-helper:0.2.1
environment:

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@ -16,6 +16,7 @@ idna==3.10
importlib_metadata==8.6.1
itsdangerous==2.2.0
Jinja2==3.1.5
kaleido==1.0.0rc0
loguru==0.7.3
MarkupSafe==3.0.2
msgspec==0.19.0

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@ -1,12 +1,14 @@
from flask import Flask, session, g, render_template_string
from flask import Flask, session, g, render_template_string, Response
from flask_session import Session
from flask_oidc import OpenIDConnect
import kaleido
from werkzeug.middleware.proxy_fix import ProxyFix
from loguru import logger
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
@ -121,16 +123,20 @@ def index():
{graph_html_1}
{graph_html_2}
{graph_html_3}
<div style="height:9vh; background-color:lightgrey;">
<table>
<div style="height:9vh; background-color:lightgrey; font-family: Courier, Consolas, monospace;">
<table style="border-collapse: collapse;">
<style>
td.smallsep {{ padding-right: 10px }}
td.largesep {{ padding-right: 30px }}
</style>
<tr>
<td>{duration1}</td><td>{duration2}</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}</td><td>{duration4}</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}</td><td>{duration6}</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}</td>
<td class="smallsep">Total:</td><td> {duration7:.3f} s</td><td></td><td></td>
</tr>
</table>
</div>
@ -144,6 +150,60 @@ 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(
# 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
)
img = fig.to_image(format='png')
return Response(img, mimetype='image/png')
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__':