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Author SHA1 Message Date
Wolfgang Hottgenroth
2c93c7ec47 token debug
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2025-01-28 21:57:23 +01:00
Wolfgang Hottgenroth
e0b1c469d2 token debug
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2025-01-28 21:54:13 +01:00
Wolfgang Hottgenroth
d646090802 token debug
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2025-01-28 21:49:27 +01:00
Wolfgang Hottgenroth
c4fd8b2cfd fix
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2025-01-28 14:51:56 +01:00
Wolfgang Hottgenroth
37ce3d47ca fix
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2025-01-28 14:41:18 +01:00
1 changed files with 21 additions and 6 deletions
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27
src/run.py
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@ -34,6 +34,15 @@ app.config.update({
Session(app) Session(app)
oidc = OpenIDConnect(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('/') @app.route('/')
@oidc.require_login @oidc.require_login
def index(): def index():
@ -45,7 +54,7 @@ def index():
fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group') fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group')
fig_1.update_layout( fig_1.update_layout(
title="Jahreswerte Exportierte Energie", title="Jahreswerte Exportierte Energie",
xaxis_title="Monat", xaxis_title="",
yaxis_title="", yaxis_title="",
legend_title="Jahr", legend_title="Jahr",
xaxis=dict( xaxis=dict(
@ -55,21 +64,27 @@ def index():
), ),
yaxis=dict(ticksuffix=" kWh") 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 >= 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 = px.line(df, x='bucket', y='avg_power')
fig_2.update_layout( 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) 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 = px.line(df, x='bucket', y='avg_power')
fig_3.update_layout( fig_3.update_layout(
title="Export gestern" xaxis_title="",
yaxis_title="",
title="Export heute",
yaxis=dict(ticksuffix=" W")
) )
graph_html_3 = fig_3.to_html(full_html=False) graph_html_3 = fig_3.to_html(full_html=False, default_height='33%')
return render_template_string(f""" return render_template_string(f"""
<html> <html>