Compare commits

...

5 Commits

Author SHA1 Message Date
d646090802 token debug
All checks were successful
ci/woodpecker/push/woodpecker Pipeline was successful
ci/woodpecker/tag/woodpecker Pipeline was successful
2025-01-28 21:49:27 +01:00
c4fd8b2cfd fix
All checks were successful
ci/woodpecker/push/woodpecker Pipeline was successful
ci/woodpecker/tag/woodpecker Pipeline was successful
2025-01-28 14:51:56 +01:00
37ce3d47ca fix
All checks were successful
ci/woodpecker/push/woodpecker Pipeline was successful
ci/woodpecker/tag/woodpecker Pipeline was successful
2025-01-28 14:41:18 +01:00
988f24994b fix
All checks were successful
ci/woodpecker/push/woodpecker Pipeline was successful
ci/woodpecker/tag/woodpecker Pipeline was successful
2025-01-28 14:28:24 +01:00
b8dd70e5ae fix
All checks were successful
ci/woodpecker/push/woodpecker Pipeline was successful
ci/woodpecker/tag/woodpecker Pipeline was successful
2025-01-28 14:20:09 +01:00

View File

@ -34,6 +34,13 @@ 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 jsonify({"access_token": access_token})
@app.route('/')
@oidc.require_login
def index():
@ -45,7 +52,7 @@ def index():
fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group')
fig_1.update_layout(
title="Jahreswerte Exportierte Energie",
xaxis_title="Monat",
xaxis_title="",
yaxis_title="",
legend_title="Jahr",
xaxis=dict(
@ -55,14 +62,27 @@ def index():
),
yaxis=dict(ticksuffix=" kWh")
)
graph_html_1 = fig_1.to_html(full_html=False)
graph_html_1 = fig_1.to_html(full_html=False, default_height='33%')
df = pd.read_sql("SELECT time_bucket('5 minutes', time) AS bucket, AVG(power) AS avg_power FROM pv_power_v WHERE time time >= date_trunc('day', now()) - '1 day'::interval AND time < date_trunc('day', now()) GROUP BY bucket ORDER BY bucket", con=engine)
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)
fig_2 = px.line(df, x='bucket', y='avg_power')
fig_2.update_layout(
title="Export gestern"
xaxis_title="",
yaxis_title="",
title="Export gestern",
yaxis=dict(ticksuffix=" W")
)
graph_html_2 = fig_2.to_html(full_html=False)
graph_html_2 = fig_2.to_html(full_html=False, default_height='33%')
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)
fig_3 = px.line(df, x='bucket', y='avg_power')
fig_3.update_layout(
xaxis_title="",
yaxis_title="",
title="Export heute",
yaxis=dict(ticksuffix=" W")
)
graph_html_3 = fig_3.to_html(full_html=False, default_height='33%')
return render_template_string(f"""
<html>
@ -72,6 +92,7 @@ def index():
<body>
{graph_html_1}
{graph_html_2}
{graph_html_3}
</body>
</html>
""")