Update modules/studentact/student_activities_v2.py
Browse files
modules/studentact/student_activities_v2.py
CHANGED
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@@ -537,265 +537,68 @@ def display_semantic_activities(username: str, t: dict):
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###################################################################################################
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def display_discourse_activities(username: str, t: dict):
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"""
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Muestra actividades de análisis del discurso con visualizaciones gráficas
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en el mismo formato que la interfaz principal
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"""
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try:
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# Registrar información de inicio
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logger.info(f"Intentando obtener análisis de discurso para {username}")
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# Obtener colección directamente
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collection = get_collection('student_discourse_analysis')
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# Verificar correctamente si collection es None
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if collection is None:
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st.info(t.get('no_discourse_analyses', 'No hay análisis comparados de textos registrados'))
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return
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logger.info(f"Recuperados {len(results)} documentos para {username}")
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if not results:
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st.info(t.get('no_discourse_analyses', 'No hay análisis comparados de textos registrados'))
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return
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<style>
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.concepts-container {
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display: flex;
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flex-wrap: nowrap;
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gap: 8px;
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padding: 12px;
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background-color: #f8f9fa;
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border-radius: 8px;
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overflow-x: auto;
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margin-bottom: 15px;
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white-space: nowrap;
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}
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.concept-item {
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background-color: white;
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border-radius: 4px;
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padding: 6px 10px;
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display: inline-flex;
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align-items: center;
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gap: 4px;
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box-shadow: 0 1px 2px rgba(0,0,0,0.1);
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flex-shrink: 0;
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}
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.concept-name {
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font-weight: 500;
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color: #1f2937;
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font-size: 0.85em;
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}
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.concept-freq {
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color: #6b7280;
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font-size: 0.75em;
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}
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.graph-container {
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background-color: white;
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padding: 15px;
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border-radius: 8px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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margin-top: 10px;
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}
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</style>
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""", unsafe_allow_html=True)
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# Mostrar cada resultado
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for i, doc in enumerate(results):
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try:
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#
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formatted_date = dt.strftime("%d/%m/%Y %H:%M:%S")
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else:
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formatted_date = str(timestamp_str)
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except:
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formatted_date = str(timestamp_str)
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#
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st.subheader(t.get('doc1_title', 'Documento 1'))
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st.markdown(t.get('key_concepts', 'Conceptos Clave'))
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if 'key_concepts1' in doc and doc['key_concepts1']:
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try:
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# Usar el mismo formato visual de conceptos que en la interfaz principal
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concepts_html = f"""
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<div class="concepts-container">
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{''.join([
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f'<div class="concept-item"><span class="concept-name">{concept}</span>'
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f'<span class="concept-freq">({freq})</span></div>'
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for concept, freq in doc['key_concepts1']
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])}
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</div>
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"""
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st.markdown(concepts_html, unsafe_allow_html=True)
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# Mostrar gráfico si existe
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if 'graph1' in doc and doc['graph1']:
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try:
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st.markdown('<div class="graph-container">', unsafe_allow_html=True)
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# Manejar diferentes formatos de gráfico
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if isinstance(doc['graph1'], bytes):
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st.image(doc['graph1'], caption=t.get('graph1_caption', 'Grafo del Texto 1'), use_column_width=True)
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elif isinstance(doc['graph1'], str):
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try:
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import base64
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# Intentar diferentes formatos de base64
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try:
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if doc['graph1'].startswith('data:image'):
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image_bytes = base64.b64decode(doc['graph1'].split(',')[1])
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else:
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image_bytes = base64.b64decode(doc['graph1'])
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st.image(image_bytes, caption=t.get('graph1_caption', 'Grafo del Texto 1'), use_column_width=True)
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except:
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st.warning(t.get('graph_decode_error', 'Error al decodificar el gráfico'))
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except:
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st.warning(t.get('graph_format_error', 'Formato de gráfico no soportado'))
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# Interpretación como texto normal
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st.markdown("**📊 Interpretación del grafo:**")
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st.markdown("""
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- 🔀 Las flechas indican la dirección de la relación entre conceptos
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- 🎨 Los colores más intensos indican conceptos más centrales en el texto
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- ⭕ El tamaño de los nodos representa la frecuencia del concepto
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- ↔️ El grosor de las líneas indica la fuerza de la conexión
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""")
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st.markdown('</div>', unsafe_allow_html=True)
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except Exception as graph_err:
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logger.error(f"Error mostrando gráfico 1: {str(graph_err)}")
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st.warning(t.get('graph_not_available', 'Gráfico no disponible'))
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else:
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st.warning(t.get('graph_not_available', 'Gráfico no disponible'))
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except Exception as e:
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logger.error(f"Error mostrando conceptos 1: {str(e)}")
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st.error("Error mostrando conceptos")
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else:
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st.warning(t.get('concepts_not_available', 'Conceptos no disponibles'))
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#
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if 'key_concepts2' in doc and doc['key_concepts2']:
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try:
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#
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for concept, freq in doc['key_concepts2']
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])}
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</div>
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"""
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st.markdown(concepts_html, unsafe_allow_html=True)
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# Mostrar gráfico si existe
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if 'graph2' in doc and doc['graph2']:
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try:
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st.markdown('<div class="graph-container">', unsafe_allow_html=True)
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# Manejar diferentes formatos de gráfico
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if isinstance(doc['graph2'], bytes):
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st.image(doc['graph2'], caption=t.get('graph2_caption', 'Grafo del Texto 2'), use_column_width=True)
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elif isinstance(doc['graph2'], str):
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try:
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import base64
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# Intentar diferentes formatos de base64
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try:
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if doc['graph2'].startswith('data:image'):
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image_bytes = base64.b64decode(doc['graph2'].split(',')[1])
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else:
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image_bytes = base64.b64decode(doc['graph2'])
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st.image(image_bytes, caption=t.get('graph2_caption', 'Grafo del Texto 2'), use_column_width=True)
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except:
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st.warning(t.get('graph_decode_error', 'Error al decodificar el gráfico'))
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except:
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st.warning(t.get('graph_format_error', 'Formato de gráfico no soportado'))
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# Interpretación como texto normal
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st.markdown("**📊 Interpretación del grafo:**")
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st.markdown("""
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- 🔀 Las flechas indican la dirección de la relación entre conceptos
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- 🎨 Los colores más intensos indican conceptos más centrales en el texto
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- ⭕ El tamaño de los nodos representa la frecuencia del concepto
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- ↔️ El grosor de las líneas indica la fuerza de la conexión
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""")
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st.markdown('</div>', unsafe_allow_html=True)
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except Exception as graph_err:
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logger.error(f"Error mostrando gráfico 2: {str(graph_err)}")
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st.warning(t.get('graph_not_available', 'Gráfico no disponible'))
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else:
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except Exception as
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logger.error(f"Error mostrando
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st.error("Error mostrando conceptos")
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else:
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st.warning(t.get('concepts_not_available', 'Conceptos no disponibles'))
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if isinstance(doc['combined_graph'], bytes):
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st.image(doc['combined_graph'], caption=t.get('combined_graph_caption', 'Visualización Comparativa'), use_column_width=True)
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elif isinstance(doc['combined_graph'], str):
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try:
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import base64
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# Intentar diferentes formatos de base64
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try:
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if doc['combined_graph'].startswith('data:image'):
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image_bytes = base64.b64decode(doc['combined_graph'].split(',')[1])
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else:
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image_bytes = base64.b64decode(doc['combined_graph'])
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st.image(image_bytes, caption=t.get('combined_graph_caption', 'Visualización Comparativa'), use_column_width=True)
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except:
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st.warning(t.get('graph_decode_error', 'Error al decodificar el gráfico'))
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except:
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st.warning(t.get('graph_format_error', 'Formato de gráfico no soportado'))
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except Exception as graph_err:
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logger.error(f"Error mostrando gráfico combinado: {str(graph_err)}")
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st.warning(t.get('combined_graph_not_available', 'Gráfico combinado no disponible'))
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# Nota informativa sobre la comparación
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st.info(t.get('comparison_note',
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'La funcionalidad de comparación detallada estará disponible en una próxima actualización.'))
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except Exception as doc_err:
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logger.error(f"Error procesando documento: {str(doc_err)}")
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st.error(f"Error procesando análisis: {str(doc_err)}")
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except Exception as e:
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logger.error(f"Error general: {str(e)}")
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st.error(f"Error recuperando análisis: {str(e)}")
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# Mostrar el error para depuración
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st.exception(e)
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#################################################################################
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###################################################################################################
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def display_discourse_activities(username: str, t: dict):
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"""Muestra actividades de análisis del discurso"""
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try:
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logger.info(f"Recuperando análisis del discurso para {username}")
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analyses = get_student_discourse_analysis(username)
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if not analyses:
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logger.info("No se encontraron análisis del discurso")
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st.info(t.get('no_discourse_analyses', 'No hay análisis comparados de textos registrados'))
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return
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+
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logger.info(f"Procesando {len(analyses)} análisis del discurso")
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for analysis in analyses:
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try:
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# Verificar campos mínimos necesarios
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if 'timestamp' not in analysis:
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logger.warning(f"Análisis sin timestamp: {analysis.keys()}")
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continue
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# Formatear fecha
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timestamp = datetime.fromisoformat(analysis['timestamp'].replace('Z', '+00:00'))
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formatted_date = timestamp.strftime("%d/%m/%Y %H:%M:%S")
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with st.expander(f"{t.get('analysis_date', 'Fecha')}: {formatted_date}", expanded=False):
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# Mostrar textos analizados
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if 'text1' in analysis and 'text2' in analysis:
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col1, col2 = st.columns(2)
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with col1:
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st.markdown("**Texto 1:**")
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st.text_area("", value=analysis['text1'], height=100, disabled=True)
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with col2:
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st.markdown("**Texto 2:**")
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st.text_area("", value=analysis['text2'], height=100, disabled=True)
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# Mostrar gráficos
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st.markdown("### Visualización comparativa")
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# Verificar y mostrar gráficos si existen
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has_graphs = False
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for graph_key in ['graph1', 'graph2', 'combined_graph']:
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if graph_key in analysis and analysis[graph_key]:
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try:
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# Verificar que sea bytes
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if isinstance(analysis[graph_key], bytes):
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st.image(analysis[graph_key],
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caption=f"Gráfico {graph_key.replace('graph', '')}",
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use_column_width=True)
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has_graphs = True
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| 587 |
else:
|
| 588 |
+
logger.warning(f"{graph_key} no es bytes: {type(analysis[graph_key])}")
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| 589 |
+
except Exception as img_error:
|
| 590 |
+
logger.error(f"Error mostrando {graph_key}: {str(img_error)}")
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|
| 591 |
|
| 592 |
+
if not has_graphs:
|
| 593 |
+
st.info(t.get('no_visualization', 'No hay visualización comparativa disponible'))
|
| 594 |
+
|
| 595 |
+
except Exception as e:
|
| 596 |
+
logger.error(f"Error procesando análisis individual: {str(e)}")
|
| 597 |
+
continue
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| 598 |
|
| 599 |
+
except Exception as e:
|
| 600 |
+
logger.error(f"Error mostrando análisis del discurso: {str(e)}")
|
| 601 |
+
st.error(t.get('error_discourse', 'Error al mostrar análisis comparado de textos'))
|
| 602 |
|
| 603 |
|
| 604 |
#################################################################################
|