Create urrent_situation_interface.py
Browse files
modules/studentact/urrent_situation_interface.py
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# modules/studentact/current_situation_interface.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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logger = logging.getLogger(__name__)
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def display_current_situation_interface(lang_code, nlp_models, t):
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"""
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Interfaz modular para el an谩lisis de la situaci贸n actual del estudiante.
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Esta funci贸n maneja la presentaci贸n y la interacci贸n con el usuario.
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Args:
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lang_code: C贸digo del idioma actual
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nlp_models: Diccionario de modelos de spaCy cargados
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t: Diccionario de traducciones
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"""
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try:
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st.markdown("## Mi Situaci贸n Actual de Escritura")
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# Container principal para mejor organizaci贸n visual
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with st.container():
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# Columnas para entrada y visualizaci贸n
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text_col, visual_col = st.columns([1,2])
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with text_col:
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# 脕rea de entrada de texto
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text_input = st.text_area(
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t.get('current_situation_input', "Ingresa tu texto para analizar:"),
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height=400,
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key=generate_unique_key("current_situation", "input")
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)
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# Bot贸n de an谩lisis
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if st.button(
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t.get('analyze_button', "Explorar mi escritura"),
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type="primary",
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disabled=not text_input,
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key=generate_unique_key("current_situation", "analyze")
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):
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with st.spinner(t.get('processing', "Analizando texto...")):
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try:
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# 1. Procesar el texto
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doc = nlp_models[lang_code](text_input)
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metrics = analyze_text_dimensions(doc)
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# 2. Mostrar visualizaciones en la columna derecha
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with visual_col:
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from .current_situation_analysis import display_current_situation_visual
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display_current_situation_visual(doc, metrics)
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# 3. Obtener retroalimentaci贸n de Claude
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feedback = get_claude_feedback(metrics, text_input)
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# 4. Guardar los resultados
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from ..database.current_situation_mongo_db import store_current_situation_result
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if store_current_situation_result(
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st.session_state.username,
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text_input,
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metrics,
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feedback
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):
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st.success(t.get('save_success', "An谩lisis guardado exitosamente"))
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# 5. Mostrar recomendaciones
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show_recommendations(feedback, t)
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except Exception as e:
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logger.error(f"Error en an谩lisis de situaci贸n actual: {str(e)}")
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st.error(t.get('analysis_error', "Error al procesar el an谩lisis"))
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def show_recommendations(feedback, t):
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"""
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Muestra las recomendaciones y ejercicios sugeridos.
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"""
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st.markdown("### " + t.get('recommendations_title', "Recomendaciones para mejorar"))
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for area, exercises in feedback['recommendations'].items():
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with st.expander(f"馃挕 {area}"):
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st.markdown(exercises['description'])
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st.markdown("**Ejercicio sugerido:**")
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st.markdown(exercises['activity'])
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# Bot贸n para marcar ejercicio como completado
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if st.button(
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t.get('mark_complete', "Marcar como completado"),
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key=generate_unique_key("exercise", area)
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):
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update_exercise_status(
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st.session_state.username,
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area,
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exercises['activity']
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)
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