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This commit is contained in:
Wolfgang Hottgenroth 2025-03-12 20:49:44 +01:00
parent 83f71b3f81
commit a5d3b13629
4 changed files with 28 additions and 20 deletions

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@ -7,22 +7,7 @@ IMAGE_NAME=numberimage
docker build --progress=plain -t $IMAGE_NAME .
SECRETS=`mktemp`
gpg --decrypt --passphrase $GPG_PASSPHRASE --yes --batch --output $SECRETS ./deployment/secrets.asc
. $SECRETS
rm $SECRETS
DB_NAMESPACE=database1
DB_DEPLOYNAME=database
REDIS_NAMESPACE=redis
REDIS_SERVICE_NAME=redis
PGHOST=`kubectl get services $DB_DEPLOYNAME -n $DB_NAMESPACE -o jsonpath="{.status.loadBalancer.ingress[0].ip}"`
REDISHOST=`kubectl get services $REDIS_SERVICE_NAME -n $REDIS_NAMESPACE -o jsonpath="{.status.loadBalancer.ingress[0].ip}"`
REDIS_URL=redis://$REDISHOST:6379/4
. load-debug-env
docker run \
-it \

15
load-debug-env Normal file
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@ -0,0 +1,15 @@
SECRETS=`mktemp`
gpg --decrypt --passphrase $GPG_PASSPHRASE --yes --batch --output $SECRETS ./deployment/secrets.asc
. $SECRETS
rm $SECRETS
DB_NAMESPACE=database1
DB_DEPLOYNAME=database
REDIS_NAMESPACE=redis
REDIS_SERVICE_NAME=redis
PGHOST=`kubectl get services $DB_DEPLOYNAME -n $DB_NAMESPACE -o jsonpath="{.status.loadBalancer.ingress[0].ip}"`
REDISHOST=`kubectl get services $REDIS_SERVICE_NAME -n $REDIS_NAMESPACE -o jsonpath="{.status.loadBalancer.ingress[0].ip}"`
REDIS_URL=redis://$REDISHOST:6379/4

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@ -4,6 +4,8 @@ import json
import plotly.express as px
import plotly.graph_objects as po
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from matplotlib.ticker import ScalarFormatter
import pandas as pd
import psycopg
import sqlalchemy
@ -131,13 +133,16 @@ def plot_png():
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'
application = 'SNMP' and attributes->>'Label' = 'harrison'
group by bucket, device
order by bucket, device
"""
df = pd.read_sql(query, con=engine)
df['rootdisp'] = df['rootdisp'] / 1e6
fig, ax1 = plt.subplots()
plot_date = df['bucket'].dt.date.iloc[0] if not df.empty else "Unknown Date"
fig, ax1 = plt.subplots(figsize=(10,5))
ax1.plot(df['bucket'], df['rootdisp'], 'r-', label='Root Dispersion')
ax1.set_xlabel('Time')
@ -150,9 +155,12 @@ def plot_png():
ax2.tick_params(axis='y', labelcolor='b')
ax2.set_yticks(range(int(df['stratum'].min()), int(df['stratum'].max()) + 1))
fig.suptitle('NTP Server Numbers')
fig.suptitle(f"harrison - {plot_date}")
fig.tight_layout()
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
fig.autofmt_xdate(rotation=45)
img_io = io.BytesIO()
plt.savefig(img_io, format='png')
img_io.seek(0)

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@ -10,7 +10,7 @@ import ntp_routes
if __name__ == '__main__':
app.run(port=8080)
app.run(host='0.0.0.0', port=8080)
else:
exposed_app = ProxyFix(app, x_for=1, x_host=1)