#modules/morphosyntax/morphosyntax_interface.py #Importaciones generales import streamlit as st from streamlit_float import * from streamlit_antd_components import * from streamlit.components.v1 import html import spacy from spacy import displacy import spacy_streamlit import pandas as pd import base64 import re #Importaciones locales from .morphosyntax_process import ( process_morphosyntactic_input, format_analysis_results, perform_advanced_morphosyntactic_analysis, get_repeated_words_colors, highlight_repeated_words, POS_COLORS, POS_TRANSLATIONS ) from ..utils.widget_utils import generate_unique_key from ..database.morphosintax_mongo_db import store_student_morphosyntax_result from ..database.morphosyntax_iterative_mongo_db import ( store_student_morphosyntax_base, store_student_morphosyntax_iteration, get_student_morphosyntax_analysis, update_student_morphosyntax_analysis, delete_student_morphosyntax_analysis, get_student_morphosyntax_data ) import logging logger = logging.getLogger(__name__) ########################################################################### def initialize_arc_analysis_state(): """Inicializa el estado del análisis de arcos y el caché si no existen""" # Inicializar estado de análisis if 'arc_analysis_state' not in st.session_state: st.session_state.arc_analysis_state = { 'original_text': '', 'original_analysis': None, 'iteration_text': '', 'iteration_analysis': None, 'analysis_count': 0 } logger.info("Estado de análisis de arcos inicializado") # Inicializar caché de análisis if 'analysis_cache' not in st.session_state: st.session_state.analysis_cache = {} logger.info("Caché de análisis inicializado") ########################################################################### def reset_morpho_state(): """Resetea el estado del análisis morfosintáctico""" if 'arc_analysis_state' in st.session_state: st.session_state.arc_analysis_state = { 'original_text': '', 'original_analysis': None, 'iteration_text': '', 'iteration_analysis': None, 'analysis_count': 0 } ############################################################################ def display_original_analysis(container, analysis, lang_code, morpho_t): """Muestra el análisis original en el contenedor especificado""" with container: st.subheader("Análisis Original") display_morphosyntax_results(analysis, lang_code, morpho_t) def display_iteration_analysis(container, analysis, lang_code, morpho_t): """Muestra el análisis de cambios en el contenedor especificado""" with container: st.subheader("Análisis de Cambios") display_morphosyntax_results(analysis, lang_code, morpho_t) ############################################################################ def cache_analysis_results(key, result): """Almacena resultados de análisis en caché""" if not hasattr(st.session_state, 'analysis_cache'): initialize_arc_analysis_state() st.session_state.analysis_cache[key] = result logger.info(f"Resultado almacenado en caché con clave: {key}") def get_cached_analysis(key): """Recupera resultados de análisis del caché""" if not hasattr(st.session_state, 'analysis_cache'): initialize_arc_analysis_state() return None return st.session_state.analysis_cache.get(key) ############################################################################ def display_morphosyntax_interface(lang_code, nlp_models, morpho_t): try: # CSS para layout estable st.markdown(""" """, unsafe_allow_html=True) # Asegurar que el tab morfosintáctico permanece activo st.session_state.tab_states['morpho_active'] = True st.session_state.selected_tab = 1 # Crear subtabs subtabs = st.tabs([ "Análisis de Diagramas de Arco", "Análisis de Categorías", "Análisis Morfológico" ]) # Tab de Diagramas de Arco with subtabs[0]: # Botón de reset col1, col2, col3 = st.columns([2,1,2]) with col1: if st.button("Nuevo Análisis", type="secondary", use_container_width=True): st.session_state.arc_analysis_state = { 'base_id': None, 'original_text': '', 'iteration_text': '', 'analysis_count': 0 } st.rerun() # Container principal para análisis analysis_container = st.container() with analysis_container: # Entrada de texto original text_input = st.text_area( "", value=st.session_state.arc_analysis_state.get('original_text', ''), key=f"original_text_{st.session_state.arc_analysis_state['analysis_count']}", height=100 ) # Botón de análisis col1, col2, col3 = st.columns([2,1,2]) with col1: analyze_button = st.button( "Analizar Texto", type="primary", use_container_width=True ) # Procesar texto original if analyze_button and text_input.strip(): try: # Realizar análisis base doc = nlp_models[lang_code](text_input) analysis = perform_advanced_morphosyntactic_analysis( text_input, nlp_models[lang_code] ) # Guardar análisis base y obtener ID base_id = store_student_morphosyntax_base( st.session_state.username, text_input, analysis['arc_diagrams'] ) if base_id: # Actualizar estado st.session_state.arc_analysis_state.update({ 'base_id': base_id, 'original_text': text_input, 'analysis_count': st.session_state.arc_analysis_state['analysis_count'] + 1 }) # Mostrar diagrama base display_arc_diagram(doc, analysis) # Línea divisora st.markdown('