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Update modules/studentact/current_situation_interface.py
Browse files
modules/studentact/current_situation_interface.py
CHANGED
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@@ -96,25 +96,18 @@ def display_current_situation_interface(lang_code, nlp_models, t):
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"""
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Interfaz con línea base y progreso lado a lado.
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"""
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#
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if 'baseline_text' not in st.session_state:
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# Intentar recuperar línea base guardada
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baseline = get_writing_baseline(st.session_state.username)
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st.session_state.baseline_text = baseline['text'] if baseline else ""
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st.session_state.baseline_metrics = baseline['metrics'] if baseline else None
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if 'iteration_count' not in st.session_state:
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st.session_state.iteration_count = 0
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try:
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st.title("Análisis de Escritura")
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# Crear dos columnas principales
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col1, col2 = st.columns(2)
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# Columna izquierda: Línea Base
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with col1:
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st.markdown("### Línea Base")
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baseline_text = st.text_area(
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"Texto base",
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value=st.session_state.baseline_text,
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@@ -123,11 +116,17 @@ def display_current_situation_interface(lang_code, nlp_models, t):
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help="Este texto servirá como punto de referencia"
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)
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with st.spinner("Analizando línea base..."):
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doc = nlp_models[lang_code](baseline_text)
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metrics = analyze_text_dimensions(doc)
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success = store_writing_baseline(
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username=st.session_state.username,
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metrics=metrics,
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@@ -138,13 +137,13 @@ def display_current_situation_interface(lang_code, nlp_models, t):
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st.session_state.baseline_text = baseline_text
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st.session_state.baseline_metrics = metrics
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st.success("Línea base establecida")
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# Mostrar métricas de línea base
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display_metrics_column(metrics, "Línea Base")
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# Columna derecha: Progreso
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with col2:
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st.markdown(f"### Iteración #{st.session_state.iteration_count + 1}")
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current_text = st.text_area(
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"Texto actual",
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height=200,
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@@ -152,7 +151,14 @@ def display_current_situation_interface(lang_code, nlp_models, t):
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help="Escribe la nueva versión de tu texto"
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)
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if not st.session_state.baseline_metrics:
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st.error("Primero debes establecer una línea base")
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return
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@@ -160,21 +166,17 @@ def display_current_situation_interface(lang_code, nlp_models, t):
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with st.spinner("Analizando progreso..."):
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doc = nlp_models[lang_code](current_text)
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current_metrics = analyze_text_dimensions(doc)
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# Incrementar contador de iteraciones
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st.session_state.iteration_count += 1
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# Guardar progreso
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store_writing_progress(
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username=st.session_state.username,
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metrics=current_metrics,
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text=current_text
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)
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# Mostrar métricas actuales
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display_metrics_column(current_metrics, f"Iteración #{st.session_state.iteration_count}")
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# Expander con gráfico radar
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with st.expander("Ver Comparación Visual", expanded=False):
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if st.session_state.baseline_metrics and 'current_metrics' in locals():
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baseline_config = prepare_metrics_config(st.session_state.baseline_metrics)
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@@ -184,11 +186,6 @@ def display_current_situation_interface(lang_code, nlp_models, t):
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thresholds=TEXT_TYPES['student_essay']['thresholds'],
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baseline_metrics=st.session_state.baseline_metrics
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)
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except Exception as e:
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logger.error(f"Error en interfaz: {str(e)}")
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st.error("Error al cargar la interfaz")
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-
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###################################
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"""
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Interfaz con línea base y progreso lado a lado.
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"""
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# [Inicialización de estados igual]
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try:
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st.title("Análisis de Escritura")
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# Crear dos columnas principales
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col1, col2 = st.columns(2)
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# Columna izquierda: Línea Base
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with col1:
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st.markdown("### Línea Base")
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# Text area para línea base
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baseline_text = st.text_area(
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"Texto base",
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value=st.session_state.baseline_text,
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help="Este texto servirá como punto de referencia"
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)
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baseline_button = st.button(
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"Establecer Línea Base",
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type="primary",
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use_container_width=True
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)
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# Análisis y métricas de línea base
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if baseline_button:
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with st.spinner("Analizando línea base..."):
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doc = nlp_models[lang_code](baseline_text)
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metrics = analyze_text_dimensions(doc)
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success = store_writing_baseline(
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username=st.session_state.username,
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metrics=metrics,
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st.session_state.baseline_text = baseline_text
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st.session_state.baseline_metrics = metrics
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st.success("Línea base establecida")
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# Métricas justo debajo del text area
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display_metrics_column(metrics, "Línea Base")
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# Columna derecha: Progreso
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with col2:
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st.markdown(f"### Iteración #{st.session_state.iteration_count + 1}")
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# Text area para iteración
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current_text = st.text_area(
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"Texto actual",
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height=200,
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help="Escribe la nueva versión de tu texto"
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)
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progress_button = st.button(
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"Analizar Progreso",
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type="primary",
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use_container_width=True
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)
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# Análisis y métricas de progreso
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if progress_button:
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if not st.session_state.baseline_metrics:
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st.error("Primero debes establecer una línea base")
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return
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with st.spinner("Analizando progreso..."):
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doc = nlp_models[lang_code](current_text)
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current_metrics = analyze_text_dimensions(doc)
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st.session_state.iteration_count += 1
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store_writing_progress(
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username=st.session_state.username,
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metrics=current_metrics,
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text=current_text
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)
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# Métricas justo debajo del text area
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display_metrics_column(current_metrics, f"Iteración #{st.session_state.iteration_count}")
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+
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# Expander con gráfico radar al final
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with st.expander("Ver Comparación Visual", expanded=False):
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if st.session_state.baseline_metrics and 'current_metrics' in locals():
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baseline_config = prepare_metrics_config(st.session_state.baseline_metrics)
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thresholds=TEXT_TYPES['student_essay']['thresholds'],
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baseline_metrics=st.session_state.baseline_metrics
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)
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###################################
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