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Dynamic breakdown fix

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Radek
2025-05-22 12:53:45 +01:00
parent 5bd170d710
commit 4173f042ad
1 changed files with 24 additions and 3 deletions
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27
dash_power_room_n_customer.py
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@@ -141,14 +141,21 @@ def set_drill_down_value(options):
return options[0]['value'] return options[0]['value']
return None return None
# Callback to update the breakdown graph # Callback to update the breakdown graph and handle zoom events
@app.callback( @app.callback(
Output('breakdown-graph', 'figure'), Output('breakdown-graph', 'figure'),
[Input('tabs', 'value'), [Input('tabs', 'value'),
Input('drill-down', 'value'), Input('drill-down', 'value'),
Input('time-range', 'value')] Input('time-range', 'value'),
Input('breakdown-graph', 'relayoutData')],
[dash.dependencies.State('breakdown-graph', 'figure')]
) )
def update_breakdown_graph(tab, drill_down, time_range): def update_breakdown_graph(tab, drill_down, time_range, relayoutData, figure):
ctx = callback_context
if not ctx.triggered:
return dash.no_update
conn = get_db_connection() conn = get_db_connection()
if tab == 'room-breakdown': if tab == 'room-breakdown':
query = f""" query = f"""
@@ -165,11 +172,25 @@ def update_breakdown_graph(tab, drill_down, time_range):
df = pd.read_sql_query(query, conn) df = pd.read_sql_query(query, conn)
conn.close() conn.close()
df = calculate_breakdown_kwh(df) df = calculate_breakdown_kwh(df)
# Initialize fig
fig = px.line(df, x=df.index, y=['current', 'power', 'kWh'], fig = px.line(df, x=df.index, y=['current', 'power', 'kWh'],
labels={'value': 'Value', 'variable': 'Metric'}, labels={'value': 'Value', 'variable': 'Metric'},
title=f'{tab.replace("-", " ").title()} Metrics') title=f'{tab.replace("-", " ").title()} Metrics')
fig.update_layout(legend_title_text='Metrics', yaxis_type="log") # Use logarithmic scale fig.update_layout(legend_title_text='Metrics', yaxis_type="log") # Use logarithmic scale
if 'time-range' in ctx.triggered[0]['prop_id'] or 'drill-down' in ctx.triggered[0]['prop_id']:
pass # fig is already initialized
elif relayoutData and 'xaxis.range[0]' in relayoutData and 'xaxis.range[1]' in relayoutData:
start = pd.to_datetime(relayoutData['xaxis.range[0]'])
end = pd.to_datetime(relayoutData['xaxis.range[1]'])
df = df.loc[start:end]
fig = px.line(df, x=df.index, y=['current', 'power', 'kWh'],
labels={'value': 'Value', 'variable': 'Metric'},
title=f'{tab.replace("-", " ").title()} Metrics')
fig.update_layout(legend_title_text='Metrics', yaxis_type="log") # Use logarithmic scale
# Update legend to show total values # Update legend to show total values
for trace in fig.data: for trace in fig.data:
if trace.name == 'kWh': if trace.name == 'kWh':