Update modules/studentact/current_situation_interface.py
Browse files
modules/studentact/current_situation_interface.py
CHANGED
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# modules/studentact/current_situation_interface-vOK.py
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import streamlit as st
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import logging
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from ..utils.widget_utils import generate_unique_key
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import matplotlib.pyplot as plt
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import numpy as np
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# Importaciones locales
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from translations import get_translations
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from ..database.current_situation_mongo_db import store_current_situation_result
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from .current_situation_analysis import (
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analyze_text_dimensions,
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@@ -24,7 +23,7 @@ from .current_situation_analysis import (
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generate_connection_paths,
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create_vocabulary_network,
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create_syntax_complexity_graph,
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create_cohesion_heatmap
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)
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# Configuración del estilo de matplotlib para el gráfico de radar
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@@ -160,7 +159,6 @@ def display_current_situation_interface(lang_code, nlp_models, t):
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###################################3333
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'''
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def display_results(metrics, text_type=None):
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"""
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Muestra los resultados del análisis: métricas verticalmente y gráfico radar.
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@@ -237,91 +235,7 @@ def display_results(metrics, text_type=None):
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except Exception as e:
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logger.error(f"Error mostrando resultados: {str(e)}")
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st.error("Error al mostrar los resultados")
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'''
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def display_results(metrics, text_type=None, t=None):
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"""
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Muestra los resultados del análisis: métricas verticalmente y gráfico radar,
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junto con recomendaciones personalizadas en el idioma seleccionado.
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"""
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try:
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# Usar valor por defecto si no se especifica tipo
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text_type = text_type or 'student_essay'
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# Obtener el código de idioma actual
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lang_code = st.session_state.lang_code
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# Obtener traducciones si no se proporcionaron
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if t is None:
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t = get_translations(lang_code)
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# Obtener umbrales según el tipo de texto
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thresholds = TEXT_TYPES[text_type]['thresholds']
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# Crear dos columnas para las métricas y el gráfico
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metrics_col, graph_col = st.columns([1, 1.5])
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# Columna de métricas
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with metrics_col:
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metrics_config = [
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{
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'label': t.get('SITUATION_ANALYSIS', {}).get('vocabulary', "Vocabulario"),
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'key': 'vocabulary',
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'value': metrics['vocabulary']['normalized_score'],
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'help': t.get('SITUATION_ANALYSIS', {}).get('vocabulary_help', "Riqueza y variedad del vocabulario"),
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'thresholds': thresholds['vocabulary']
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},
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{
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'label': t.get('SITUATION_ANALYSIS', {}).get('structure', "Estructura"),
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'key': 'structure',
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'value': metrics['structure']['normalized_score'],
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'help': t.get('SITUATION_ANALYSIS', {}).get('structure_help', "Organización y complejidad de oraciones"),
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'thresholds': thresholds['structure']
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},
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{
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'label': t.get('SITUATION_ANALYSIS', {}).get('cohesion', "Cohesión"),
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'key': 'cohesion',
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'value': metrics['cohesion']['normalized_score'],
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'help': t.get('SITUATION_ANALYSIS', {}).get('cohesion_help', "Conexión entre ideas y párrafos"),
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'thresholds': thresholds['cohesion']
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},
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{
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'label': t.get('SITUATION_ANALYSIS', {}).get('clarity', "Claridad"),
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'key': 'clarity',
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'value': metrics['clarity']['normalized_score'],
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'help': t.get('SITUATION_ANALYSIS', {}).get('clarity_help', "Facilidad de comprensión"),
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'thresholds': thresholds['clarity']
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}
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]
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# Mostrar las métricas como barras verticales
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for metric in metrics_config:
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st.metric(
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label=f"{metric['label']} - {int(metric['value']*100)}%" or "Métrica",
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value="",
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help=metric['help']
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)
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st.progress(metric['value'])
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st.markdown("---")
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# Columna del gráfico radar
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with graph_col:
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# Generar y mostrar el gráfico radar
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fig = create_radar_chart(metrics, t)
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st.pyplot(fig)
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# Generar recomendaciones basadas en métricas y tipo de texto
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recommendations = generate_recommendations(metrics, text_type, lang_code, t)
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# Mostrar sección de recomendaciones
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st.subheader(t.get('SITUATION_ANALYSIS', {}).get('recommendations_title', "Recomendaciones para mejorar"))
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# Mostrar recomendaciones en tarjetas con estilo
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display_recommendations(recommendations, t)
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except Exception as e:
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logger.error(f"Error displaying results: {str(e)}")
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st.error(t.get('SITUATION_ANALYSIS', {}).get('display_error', "Error al mostrar los resultados del análisis"))
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######################################
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def display_radar_chart(metrics_config, thresholds):
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except Exception as e:
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logger.error(f"Error mostrando gráfico radar: {str(e)}")
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st.error("Error al mostrar el gráfico")
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# modules/studentact/current_situation_interface-vOK.py
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import streamlit as st
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import logging
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from ..utils.widget_utils import generate_unique_key
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import matplotlib.pyplot as plt
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import numpy as np
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from ..database.current_situation_mongo_db import store_current_situation_result
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# Importaciones locales
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from translations import get_translations
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from .current_situation_analysis import (
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analyze_text_dimensions,
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generate_connection_paths,
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create_vocabulary_network,
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create_syntax_complexity_graph,
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create_cohesion_heatmap,
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)
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# Configuración del estilo de matplotlib para el gráfico de radar
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###################################3333
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def display_results(metrics, text_type=None):
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"""
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Muestra los resultados del análisis: métricas verticalmente y gráfico radar.
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except Exception as e:
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logger.error(f"Error mostrando resultados: {str(e)}")
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st.error("Error al mostrar los resultados")
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######################################
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def display_radar_chart(metrics_config, thresholds):
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except Exception as e:
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logger.error(f"Error mostrando gráfico radar: {str(e)}")
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st.error("Error al mostrar el gráfico")
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#####################################################
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def display_recommendations(recommendations, t):
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"""
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Muestra las recomendaciones con un diseño de tarjetas.
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"""
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# Definir colores para cada categoría
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colors = {
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'vocabulary': '#2E86C1', # Azul
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'structure': '#28B463', # Verde
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'cohesion': '#F39C12', # Naranja
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'clarity': '#9B59B6', # Púrpura
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'priority': '#E74C3C' # Rojo para la categoría prioritaria
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}
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# Iconos para cada categoría
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icons = {
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'vocabulary': '📚',
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'structure': '🏗️',
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'cohesion': '🔄',
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'clarity': '💡',
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'priority': '⭐'
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}
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# Obtener traducciones para cada dimensión
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dimension_names = {
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'vocabulary': t.get('SITUATION_ANALYSIS', {}).get('vocabulary', "Vocabulario"),
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'structure': t.get('SITUATION_ANALYSIS', {}).get('structure', "Estructura"),
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'cohesion': t.get('SITUATION_ANALYSIS', {}).get('cohesion', "Cohesión"),
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'clarity': t.get('SITUATION_ANALYSIS', {}).get('clarity', "Claridad"),
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'priority': t.get('SITUATION_ANALYSIS', {}).get('priority', "Prioridad")
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}
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# Título de la sección prioritaria
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priority_focus = t.get('SITUATION_ANALYSIS', {}).get('priority_focus', 'Área prioritaria para mejorar')
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st.markdown(f"### {icons['priority']} {priority_focus}")
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# Determinar área prioritaria (la que tiene menor puntuación)
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priority_area = recommendations.get('priority', 'vocabulary')
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priority_title = dimension_names.get(priority_area, "Área prioritaria")
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# Determinar el contenido para mostrar
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if isinstance(recommendations[priority_area], dict) and 'title' in recommendations[priority_area]:
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priority_title = recommendations[priority_area]['title']
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priority_content = recommendations[priority_area]['content']
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else:
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priority_content = recommendations[priority_area]
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# Mostrar la recomendación prioritaria con un estilo destacado
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with st.container():
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st.markdown(
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f"""
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<div style="border:2px solid {colors['priority']}; border-radius:5px; padding:15px; margin-bottom:20px;">
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<h4 style="color:{colors['priority']};">{priority_title}</h4>
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<p>{priority_content}</p>
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</div>
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""",
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unsafe_allow_html=True
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)
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# Crear dos columnas para las tarjetas de recomendaciones restantes
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col1, col2 = st.columns(2)
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# Distribuir las recomendaciones en las columnas
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categories = ['vocabulary', 'structure', 'cohesion', 'clarity']
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for i, category in enumerate(categories):
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# Saltar si esta categoría ya es la prioritaria
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if category == priority_area:
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continue
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# Determinar título y contenido
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if isinstance(recommendations[category], dict) and 'title' in recommendations[category]:
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category_title = recommendations[category]['title']
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category_content = recommendations[category]['content']
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else:
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category_title = dimension_names.get(category, category)
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category_content = recommendations[category]
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# Alternar entre columnas
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with col1 if i % 2 == 0 else col2:
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# Crear tarjeta para cada recomendación
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st.markdown(
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f"""
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<div style="border:1px solid {colors[category]}; border-radius:5px; padding:10px; margin-bottom:15px;">
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<h4 style="color:{colors[category]};">{icons[category]} {category_title}</h4>
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<p>{category_content}</p>
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</div>
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""",
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unsafe_allow_html=True
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)
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