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#modules/semantic/semantic_interface.py | |
# Importaciones necesarias | |
import streamlit as st | |
from streamlit_float import * | |
from streamlit_antd_components import * | |
from streamlit.components.v1 import html | |
import io | |
from io import BytesIO | |
import base64 | |
import matplotlib.pyplot as plt | |
import pandas as pd | |
import re | |
import logging | |
# Configuraci贸n del logger | |
logger = logging.getLogger(__name__) | |
# Importaciones locales | |
from .semantic_process import ( | |
process_semantic_input, | |
format_semantic_results | |
) | |
from ..utils.widget_utils import generate_unique_key | |
from ..database.semantic_mongo_db import store_student_semantic_result | |
from ..database.semantic_export import export_user_interactions | |
#modules/semantic/semantic_interface.py | |
# [Mantener las importaciones igual...] | |
def display_semantic_interface(lang_code, nlp_models, semantic_t): | |
""" | |
Interfaz para el an谩lisis sem谩ntico | |
Args: | |
lang_code: C贸digo del idioma actual | |
nlp_models: Modelos de spaCy cargados | |
semantic_t: Diccionario de traducciones sem谩nticas | |
""" | |
try: | |
# Inicializar estados si no existen | |
if 'semantic_analysis_counter' not in st.session_state: | |
st.session_state.semantic_analysis_counter = 0 | |
if 'semantic_current_file' not in st.session_state: | |
st.session_state.semantic_current_file = None | |
if 'semantic_page' not in st.session_state: | |
st.session_state.semantic_page = 'semantic' | |
# Contenedor fijo para los controles | |
with st.container(): | |
st.markdown("### Controls") | |
# Opci贸n para cargar archivo con key 煤nica | |
uploaded_file = st.file_uploader( | |
semantic_t.get('file_uploader', 'Upload a text file for analysis'), | |
type=['txt'], | |
key=f"semantic_file_uploader_{st.session_state.semantic_analysis_counter}", | |
on_change=lambda: setattr(st.session_state, 'semantic_current_file', uploaded_file) | |
) | |
# Bot贸n de an谩lisis deshabilitado si no hay archivo | |
col1, col2, col3 = st.columns([1,2,1]) | |
with col1: | |
analyze_button = st.button( | |
semantic_t.get('analyze_button', 'Analyze text'), | |
key=f"semantic_analyze_button_{st.session_state.semantic_analysis_counter}", | |
disabled=not uploaded_file, | |
use_container_width=True | |
) | |
# Bot贸n de exportaci贸n solo visible si hay resultados | |
if 'semantic_result' in st.session_state and st.session_state.semantic_result is not None: | |
export_button = st.button( | |
semantic_t.get('export_button', 'Export Analysis'), | |
key=f"semantic_export_{st.session_state.semantic_analysis_counter}", | |
use_container_width=True | |
) | |
if export_button: | |
pdf_buffer = export_user_interactions(st.session_state.username, 'semantic') | |
st.download_button( | |
label=semantic_t.get('download_pdf', 'Download PDF'), | |
data=pdf_buffer, | |
file_name="semantic_analysis.pdf", | |
mime="application/pdf", | |
key=f"semantic_download_{st.session_state.semantic_analysis_counter}" | |
) | |
st.markdown("---") # Separador | |
# Procesar el an谩lisis cuando se presiona el bot贸n | |
if analyze_button and uploaded_file is not None: | |
try: | |
with st.spinner(semantic_t.get('processing', 'Processing...')): | |
text_content = uploaded_file.getvalue().decode('utf-8') | |
analysis_result = process_semantic_input( | |
text_content, | |
lang_code, | |
nlp_models, | |
semantic_t | |
) | |
if analysis_result['success']: | |
st.session_state.semantic_result = analysis_result | |
st.session_state.semantic_analysis_counter += 1 | |
# Guardar en la base de datos | |
if store_student_semantic_result( | |
st.session_state.username, | |
text_content, | |
analysis_result['analysis'] | |
): | |
st.success(semantic_t.get('success_message', 'Analysis saved successfully')) | |
# Asegurar que nos mantenemos en la p谩gina sem谩ntica | |
st.session_state.page = 'semantic' | |
# Mostrar resultados | |
display_semantic_results( | |
analysis_result, | |
lang_code, | |
semantic_t | |
) | |
else: | |
st.error(semantic_t.get('error_message', 'Error saving analysis')) | |
else: | |
st.error(analysis_result['message']) | |
except Exception as e: | |
logger.error(f"Error en an谩lisis sem谩ntico: {str(e)}") | |
st.error(semantic_t.get('error_processing', f'Error processing text: {str(e)}')) | |
# Mostrar resultados previos | |
elif 'semantic_result' in st.session_state and st.session_state.semantic_result is not None: | |
display_semantic_results( | |
st.session_state.semantic_result, | |
lang_code, | |
semantic_t | |
) | |
else: | |
st.info(semantic_t.get('initial_message', 'Upload a file to begin analysis')) | |
except Exception as e: | |
logger.error(f"Error general en interfaz sem谩ntica: {str(e)}") | |
st.error("Se produjo un error. Por favor, intente de nuevo.") | |
# [Resto del c贸digo igual...] |