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Author SHA1 Message Date
e3b2ea704d timing
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2025-01-30 13:35:08 +01:00
8bd4a4b695 timing
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2025-01-30 13:30:45 +01:00
89f3cbb5d1 timing
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2025-01-30 10:31:36 +01:00
37c4a373b7 timing
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2025-01-30 10:25:56 +01:00
408cff442c timing
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2025-01-30 10:19:07 +01:00
67b88aa2a1 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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2025-01-28 21:54:13 +01:00
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
5 changed files with 80 additions and 23 deletions

View File

@ -20,7 +20,7 @@ steps:
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

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@ -4,6 +4,8 @@ metadata:
name: pv-stats
labels:
app: pv-stats
annotations:
secret.reloader.stakater.com/reload: pv-stats
spec:
replicas: 1
selector:

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@ -19,10 +19,11 @@ 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 pv-stats \
--dry-run=client \

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@ -1,15 +1,15 @@
-----BEGIN PGP MESSAGE-----
jA0ECQMCjSYtdE7M+rT/0sEmAbK6tjOB7cduweJyS3sULIl017BrOM1HGV1v4QkN
NWtceKHpJEFmk1ZFh1EmyS724bDxtVLm8qJN4VzV+cLPa8/IiTzOHJEg4PDRcc0U
LRCZOb5PtfKWBcQdRshT3JhIxxOKG53ZKOHJ2VodZ/iqmpSbjZ39GtzLJoXlXwCJ
jHAHgADdvq5J7joSaozjxVCXQI2nOmlEcZosZVd6LZDvemWtmci4ARJtOEqad4Wi
mbleupBF18pA7b63hfmHocO89b9pTpUZWw10b0SHrUiKZG6kHeQXE8GGu+4HiRcG
xJN/yYe2Ly4tHwT54gQ7ytLrxOnJUQKelSpq370t/lrGTf8L4b2eq+tED8/7z5Ho
E12VDreYLFaS2IeJCFBefiGGbKgttPcHZvDCPCUpCpfSShlqtTaidwsTq2lPFGyo
0Lz9NHsqp4/U+4nabCWNVWhnZhwqIPYOt/kKsYvjq40U29q7RORnxz8l/Ym4vB1P
kLeouElJvAz6vt/1+nFQJb65YykTqKQpbKgbziFiUFwb37QzBqRO7tuv3/MUzJ1Q
KB7+IOQ43vFbAK6DZAhJZtAspVYiZ95niVxepaghzf33/FquhtZ+XpFEBDv525z7
pML7BxFxuwF5q7HBTPtc4IeJBgGi16wm
=K6Qq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=Wr4f
-----END PGP MESSAGE-----

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@ -10,6 +10,7 @@ import plotly.express as px
import pandas as pd
import psycopg
import sqlalchemy
import time
try:
redis_url = os.environ['REDIS_URL']
@ -34,17 +35,33 @@ 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():
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
fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group')
step2_time = time.time()
duration2 = step2_time - step1_time
fig_1.update_layout(
title=f"Jahreswerte Exportierte Energie {duration1:.3f}, {duration2:.3f}",
xaxis_title="",
yaxis_title="",
legend_title="Jahr",
xaxis=dict(
@ -54,7 +71,39 @@ def index():
),
yaxis=dict(ticksuffix=" kWh")
)
graph_html = fig.to_html(full_html=False)
graph_html_1 = fig_1.to_html(full_html=False, default_height='33%')
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()
duration1 = step4_time - step3_time
fig_2 = px.line(df, x='bucket', y='avg_power')
step5_time = time.time()
duration2 = step5_time - step4_time
fig_2.update_layout(
xaxis_title="",
yaxis_title="",
title=f"Export gestern {duration1:.3f}, {duration2:.3f}",
yaxis=dict(ticksuffix=" W")
)
graph_html_2 = fig_2.to_html(full_html=False, default_height='33%')
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()
duration1 = step7_time - step6_time
fig_3 = px.line(df, x='bucket', y='avg_power')
step8_time = time.time()
duration2 = step8_time - step7_time
fig_3.update_layout(
xaxis_title="",
yaxis_title="",
title=f"Export heute {duration1:.3f}, {duration2:.3f}",
yaxis=dict(ticksuffix=" W")
)
graph_html_3 = fig_3.to_html(full_html=False, default_height='33%')
stepZ_time = time.time()
duration = stepZ_time - stepX_time
return render_template_string(f"""
<html>
@ -62,7 +111,12 @@ def index():
<title>Jahreswerte PV-Energie</title>
</head>
<body>
{graph_html}
{graph_html_1}
{graph_html_2}
{graph_html_3}
<p>
{duration:.3f}
</p>
</body>
</html>
""")