Update modules/studentact/student_activities_v2.py
Browse files
modules/studentact/student_activities_v2.py
CHANGED
@@ -212,22 +212,36 @@ def display_current_situation_activities(username: str, t: dict):
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if situation_data and 'metrics' in situation_data:
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metrics = situation_data['metrics']
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if isinstance(metric_data, dict) and 'normalized_score' in metric_data:
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score = metric_data['normalized_score']
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# Determinar color y emoji basado en la puntuación
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if score < 0.5:
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emoji = "🔴"
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@@ -245,25 +259,41 @@ def display_current_situation_activities(username: str, t: dict):
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<b>{emoji} {metric_name.capitalize()}:</b> {score:.2f}
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</div>
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""", unsafe_allow_html=True)
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st.write(f"**{metric_name.capitalize()}**")
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st.json(
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st.info(t.get('no_metrics_data', 'No hay datos de métricas disponibles'))
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logger.warning(f"La estructura de métricas no es válida: {metrics}")
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else:
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st.info(t.get('no_diagnosis', 'No hay datos de diagnóstico disponibles'))
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if situation_data:
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if situation_data and 'metrics' in situation_data:
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metrics = situation_data['metrics']
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# Imprimir estructura real para depuración
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st.write("Estructura de métricas:", metrics)
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# Dividir en dos columnas
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col1, col2 = st.columns(2)
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# Principales métricas en formato de tarjetas
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with col1:
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st.subheader(t.get('key_metrics', 'Métricas clave'))
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# Mostrar cada métrica principal
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for metric_name, metric_data in metrics.items():
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try:
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# Determinar la puntuación
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score = None
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if isinstance(metric_data, dict):
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# Intentar diferentes nombres de campo
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if 'normalized_score' in metric_data:
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score = metric_data['normalized_score']
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elif 'score' in metric_data:
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score = metric_data['score']
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elif 'value' in metric_data:
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score = metric_data['value']
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# Agregar fallback para valores numéricos directos
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elif isinstance(metric_data, (int, float)):
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score = metric_data
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if score is not None:
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# Asegurarse de que score es numérico
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if isinstance(score, (int, float)):
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# Determinar color y emoji basado en la puntuación
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if score < 0.5:
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emoji = "🔴"
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<b>{emoji} {metric_name.capitalize()}:</b> {score:.2f}
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</div>
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""", unsafe_allow_html=True)
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else:
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# Si no es numérico, mostrar como texto
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st.markdown(f"""
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<div style="background-color:#f0f0f0; padding:10px; border-radius:5px; margin-bottom:10px;">
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<b>ℹ️ {metric_name.capitalize()}:</b> {score}
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</div>
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""", unsafe_allow_html=True)
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except Exception as e:
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st.error(f"Error procesando métrica {metric_name}: {str(e)}")
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logger.error(f"Error procesando métrica {metric_name}: {str(e)}")
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# Mostrar detalles adicionales si están disponibles
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with col2:
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st.subheader(t.get('details', 'Detalles'))
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# Para cada métrica, mostrar sus detalles si existen
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for metric_name, metric_data in metrics.items():
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try:
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if isinstance(metric_data, dict):
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# Mostrar detalles directamente o buscar en subcampos
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details = None
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if 'details' in metric_data and metric_data['details']:
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details = metric_data['details']
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else:
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# Crear un diccionario con los detalles excluyendo 'normalized_score' y similares
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details = {k: v for k, v in metric_data.items()
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if k not in ['normalized_score', 'score', 'value']}
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if details:
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detail_key = f"details_{metric_name}_{timestamp_key}_{i}"
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st.write(f"**{metric_name.capitalize()}**")
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st.json(details, expanded=False)
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except Exception as e:
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st.error(f"Error mostrando detalles de {metric_name}: {str(e)}")
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logger.error(f"Error mostrando detalles de {metric_name}: {str(e)}")
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else:
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st.info(t.get('no_diagnosis', 'No hay datos de diagnóstico disponibles'))
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if situation_data:
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