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0.0.2 ... 0.1.7

Author SHA1 Message Date
52217c5251 still kaleido
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2025-02-11 19:53:48 +01:00
022d7a8926 merged
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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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eca5affd53 add kaleido, 2
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6236673d28 add kaleido
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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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2025-01-30 10:03:16 +01:00
7b0238b4a5 use new decrypt approach
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2025-01-29 17:28:12 +01:00
16771227bb adjust configuration
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2025-01-29 15:40:34 +01:00
aa97e3cdd3 adjust configuration
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2025-01-29 15:27:35 +01:00
2c93c7ec47 token debug
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2025-01-28 21:57:23 +01:00
e0b1c469d2 token debug
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d646090802 token debug
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2025-01-28 21:49:27 +01:00
c4fd8b2cfd fix
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2025-01-28 14:51:56 +01:00
37ce3d47ca fix
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2025-01-28 14:41:18 +01:00
988f24994b fix
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2025-01-28 14:28:24 +01:00
b8dd70e5ae fix
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2025-01-28 14:20:09 +01:00
6ba9352edc second graph
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2025-01-28 14:13:30 +01:00
aaa23a9839 only one graph
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2025-01-28 13:54:11 +01:00
812989df47 two graphs
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2025-01-28 13:49:26 +01:00
452161ff03 disable trivy warning
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2025-01-28 13:47:24 +01:00
cd3bf25fa1 two graphs
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2025-01-28 13:44:03 +01:00
9baa648382 secrets fixed
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2025-01-27 19:15:37 +01:00
9eb0d70943 gunicorn
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2025-01-27 19:09:52 +01:00
abc25a8e7f deployment
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2025-01-27 19:03:21 +01:00
5660eba61c deployment snippet
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6cb8a65a21 renamed
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2025-01-27 18:56:13 +01:00
6 changed files with 225 additions and 59 deletions

View File

@ -13,14 +13,8 @@ steps:
dockerfile: Dockerfile
when:
- event: [push, tag]
scan_image:
image: aquasec/trivy
commands:
- 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:0.1.3
image: quay.io/wollud1969/k8s-admin-helper:0.2.1
environment:
KUBE_CONFIG_CONTENT:
from_secret: kube_config

View File

@ -1,17 +1,64 @@
apiVersion: batch/v1
kind: CronJob
apiVersion: apps/v1
kind: Deployment
metadata:
name: pv-energy-calculator
name: pv-stats
labels:
app: pv-stats
annotations:
secret.reloader.stakater.com/reload: pv-stats
spec:
schedule: "15 * * * *"
jobTemplate:
spec:
replicas: 1
selector:
matchLabels:
app: pv-stats
template:
metadata:
labels:
app: pv-stats
spec:
restartPolicy: OnFailure
containers:
- name: pv-energy-calculator
- name: pv-stats
image: %IMAGE%
envFrom:
- secretRef:
name: pv-energy-calculator
name: pv-stats
ports:
- containerPort: 8080
protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
name: pv-stats
spec:
type: ClusterIP
selector:
app: pv-stats
ports:
- name: http
targetPort: 8080
port: 80
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: pv-stats
annotations:
cert-manager.io/cluster-issuer: letsencrypt-production-http
spec:
tls:
- hosts:
- pv-stats.hottis.de
secretName: pv-stats-cert
rules:
- host: pv-stats.hottis.de
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: pv-stats
port:
number: 80

View File

@ -9,7 +9,7 @@ if [ "$GPG_PASSPHRASE" == "" ]; then
exit 1
fi
IMAGE_NAME=gitea.hottis.de/wn/mini_flask
IMAGE_NAME=gitea.hottis.de/wn/pv-stats
NAMESPACE=homea
DEPLOYMENT_DIR=$PWD/deployment
@ -19,12 +19,13 @@ kubectl create namespace $NAMESPACE \
-o yaml | \
kubectl -f - apply
SECRETS_FILE=`mktemp`
gpg --decrypt --passphrase $GPG_PASSPHRASE --yes --batch --homedir /tmp/.gnupg --output $SECRETS_FILE secrets.asc
. $SECRETS_FILE
rm $SECRETS_FILE
# SECRETS_FILE=`mktemp`
# gpg --decrypt --passphrase $GPG_PASSPHRASE --yes --batch --homedir /tmp/.gnupg --output $SECRETS_FILE secrets.asc
# . $SECRETS_FILE
# rm $SECRETS_FILE
eval "`cat secrets.asc | /usr/local/bin/decrypt-secrets.sh`"
kubectl create secret generic mini_flask \
kubectl create secret generic pv-stats \
--dry-run=client \
-o yaml \
--save-config \
@ -35,13 +36,12 @@ kubectl create secret generic mini_flask \
--from-literal=PGHOST="$PGHOST" \
--from-literal=PGSSLMODE="$PGSSLMODE" \
--from-literal=PGDATABASE="$PGDATABASE" \
--from-literal=OIDC_CLIENT_SECRETS="$OIDC_CLIENT_SECRETS" | \
--from-literal=OIDC_CLIENT_SECRETS="$OIDC_CLIENT_SECRETS" | \
kubectl apply -f - -n $NAMESPACE
rm $SECRETS_FILE
# cat $DEPLOYMENT_DIR/deploy-yml.tmpl | \
# sed -e 's,%IMAGE%,'$IMAGE_NAME':'$IMAGE_TAG','g | \
# kubectl apply -f - -n $NAMESPACE
cat $DEPLOYMENT_DIR/deploy-yml.tmpl | \
sed -e 's,%IMAGE%,'$IMAGE_NAME':'$IMAGE_TAG','g | \
kubectl apply -f - -n $NAMESPACE
popd > /dev/null

View File

@ -1,15 +1,15 @@
-----BEGIN PGP MESSAGE-----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=gOlN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=Wr4f
-----END PGP MESSAGE-----

View File

@ -10,10 +10,13 @@ cryptography==44.0.0
Flask==3.1.0
flask-oidc==2.2.2
Flask-Session==0.8.0
greenlet==3.1.1
gunicorn==23.0.0
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

View File

@ -1,4 +1,4 @@
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
from werkzeug.middleware.proxy_fix import ProxyFix
@ -7,9 +7,11 @@ 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
import time
try:
redis_url = os.environ['REDIS_URL']
@ -34,25 +36,35 @@ app.config.update({
Session(app)
oidc = OpenIDConnect(app)
@app.route('/token_debug', methods=['GET'])
@oidc.require_login
def token_debug():
# Access Token vom Identity Provider abrufen
access_token = oidc.get_access_token()
return json.dumps({
"access_token": access_token
})
@app.route('/')
@oidc.require_login
def index():
counter = int(session.get('counter', '0'))
counter += 1
session['counter'] = f"{counter}"
return f"Hello, Flask! Called for the {counter}. time."
@app.route('/plot')
@oidc.require_login
def plot():
try:
stepX_time = time.time()
dbh = psycopg.connect()
engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)
step0_time = time.time()
df = pd.read_sql("SELECT month, cast(year AS varchar), current_energy AS value FROM pv_energy_by_month", con=engine)
fig = px.bar(df, x='month', y='value', color='year', barmode='group')
fig.update_layout(
title="Jahreswerte Exportierte Energie",
xaxis_title="Monat",
step1_time = time.time()
duration1 = step1_time - step0_time
logger.info(f"{duration1=}")
fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group')
step2_time = time.time()
duration2 = step2_time - step1_time
logger.info(f"{duration2=}")
fig_1.update_layout(
title=f"Jahreswerte Exportierte Energie {duration1:.3f}, {duration2:.3f}",
xaxis_title="",
yaxis_title="",
legend_title="Jahr",
xaxis=dict(
@ -62,7 +74,44 @@ def plot():
),
yaxis=dict(ticksuffix=" kWh")
)
graph_html = fig.to_html(full_html=False)
graph_html_1 = fig_1.to_html(full_html=False, default_height='30%')
step3_time = time.time()
df = pd.read_sql("SELECT time_bucket('5 minutes', time) AS bucket, AVG(power) AS avg_power FROM pv_power_v WHERE time >= date_trunc('day', now()) - '1 day'::interval AND time < date_trunc('day', now()) GROUP BY bucket ORDER BY bucket", con=engine)
step4_time = time.time()
duration3 = step4_time - step3_time
logger.info(f"{duration3=}")
fig_2 = px.line(df, x='bucket', y='avg_power')
step5_time = time.time()
duration4 = step5_time - step4_time
logger.info(f"{duration4=}")
fig_2.update_layout(
xaxis_title="",
yaxis_title="",
title=f"Export gestern {duration3:.3f}, {duration4:.3f}",
yaxis=dict(ticksuffix=" W")
)
graph_html_2 = fig_2.to_html(full_html=False, default_height='30%')
step6_time = time.time()
df = pd.read_sql("SELECT time_bucket('5 minutes', time) AS bucket, AVG(power) AS avg_power FROM pv_power_v WHERE time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval GROUP BY bucket ORDER BY bucket", con=engine)
step7_time = time.time()
duration5 = step7_time - step6_time
logger.info(f"{duration5=}")
fig_3 = px.line(df, x='bucket', y='avg_power')
step8_time = time.time()
duration6 = step8_time - step7_time
logger.info(f"{duration6=}")
fig_3.update_layout(
xaxis_title="",
yaxis_title="",
title=f"Export heute {duration5:.3f}, {duration6:.3f}",
yaxis=dict(ticksuffix=" W")
)
graph_html_3 = fig_3.to_html(full_html=False, default_height='30%')
stepZ_time = time.time()
duration7 = stepZ_time - stepX_time
logger.info(f"{duration7=}")
return render_template_string(f"""
<html>
@ -70,7 +119,26 @@ def plot():
<title>Jahreswerte PV-Energie</title>
</head>
<body>
{graph_html}
{graph_html_1}
{graph_html_2}
{graph_html_3}
<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 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 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 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 class="smallsep">Total:</td><td> {duration7:.3f} s</td><td></td><td></td>
</tr>
</table>
</div>
</body>
</html>
""")
@ -81,6 +149,60 @@ def plot():
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__':