#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.chat_mongo_db import store_chat_history, get_chat_history 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) # Inicializar estado y mantener tab activo st.session_state.tab_states['morpho_active'] = True st.session_state.selected_tab = 1 initialize_arc_analysis_state() # 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): reset_morpho_state() st.rerun() # Contenedores separados para cada tipo de análisis original_input_container = st.container() original_diagram_container = st.container() iteration_input_container = st.container() iteration_diagram_container = st.container() # Sección de análisis original with original_input_container: text_key = f"original_text_{st.session_state.arc_analysis_state['analysis_count']}" text_input = st.text_area( "", value=st.session_state.arc_analysis_state['original_text'], key=text_key, height=100 ) col1, col2, col3 = st.columns([2,1,2]) with col1: analyze_button = st.button( "Analizar Texto Original", type="primary", key=f"analyze_original_{st.session_state.arc_analysis_state['analysis_count']}", use_container_width=True ) # Procesar texto original if analyze_button and text_input.strip(): try: doc = nlp_models[lang_code](text_input) analysis = perform_advanced_morphosyntactic_analysis( text_input, nlp_models[lang_code] ) st.session_state.arc_analysis_state.update({ 'original_text': text_input, 'original_analysis': {'doc': doc, 'analysis': analysis}, 'iteration_text': text_input, 'analysis_count': st.session_state.arc_analysis_state['analysis_count'] + 1 }) if store_student_morphosyntax_result( username=st.session_state.username, text=text_input, arc_diagrams=analysis['arc_diagrams'] ): display_original_analysis( original_diagram_container, st.session_state.arc_analysis_state['original_analysis'], lang_code, morpho_t ) except Exception as e: st.error("Error al procesar texto original") logger.error(f"Error al procesar texto original: {str(e)}") # Sección de iteración if st.session_state.arc_analysis_state.get('original_analysis'): with iteration_input_container: st.markdown("---") # Formulario de iteración with st.form(key="iteration_form"): iteration_text = st.text_area( "", value=st.session_state.arc_analysis_state.get('iteration_text', ''), key=f"iteration_{st.session_state.arc_analysis_state['analysis_count']}", height=100 ) # Botón de análisis dentro del formulario submitted = st.form_submit_button( "Analizar Cambios", type="primary", use_container_width=True ) # Cuando se envía el formulario if submitted and iteration_text.strip(): try: # Verificar si ya existe en caché cache_key = f"iter_{iteration_text}" cached_result = get_cached_analysis(cache_key) if cached_result: logger.info("Usando resultado cacheado") doc_iter = cached_result['doc'] analysis_iter = cached_result['analysis'] else: logger.info("Generando nuevo análisis") doc_iter = nlp_models[lang_code](iteration_text) analysis_iter = perform_advanced_morphosyntactic_analysis( iteration_text, nlp_models[lang_code] ) # Guardar en caché cache_analysis_results(cache_key, { 'doc': doc_iter, 'analysis': analysis_iter }) # Actualizar estado st.session_state.arc_analysis_state.update({ 'iteration_text': iteration_text, 'iteration_analysis': {'doc': doc_iter, 'analysis': analysis_iter} }) if store_student_morphosyntax_result( username=st.session_state.username, text=iteration_text, arc_diagrams=analysis_iter['arc_diagrams'] ): # Mostrar análisis en columnas col1, col2 = st.columns(2) # Mostrar ambos análisis with col1: display_original_analysis( original_diagram_container, st.session_state.arc_analysis_state['original_analysis'], lang_code, morpho_t ) with col2: display_iteration_analysis( iteration_diagram_container, {'doc': doc_iter, 'analysis': analysis_iter}, lang_code, morpho_t ) except Exception as e: st.error("Error al procesar iteración") logger.error(f"Error al procesar iteración: {str(e)}") # Otros subtabs... with subtabs[1]: st.info("Análisis de Categorías en desarrollo...") with subtabs[2]: st.info("Análisis Morfológico en desarrollo...") except Exception as e: st.error("Error general en la interfaz") logger.error(f"Error general en la interfaz: {str(e)}") ############################################################################ def display_morphosyntax_results(result, lang_code, morpho_t): """ Muestra solo el diagrama de arco. Args: result: Diccionario con el documento procesado y su análisis lang_code: Código del idioma morpho_t: Diccionario de traducciones """ if result is None: return try: doc = result['doc'] sentences = list(doc.sents) for i, sent in enumerate(sentences): try: st.subheader(f"{morpho_t.get('sentence', 'Sentence')} {i+1}") html = displacy.render(sent, style="dep", options={ "distance": 100, "arrow_spacing": 20, "word_spacing": 30 }) html = html.replace('height="375"', 'height="200"') html = re.sub(r']*>', lambda m: m.group(0).replace('height="450"', 'height="300"'), html) html = re.sub(r']*transform="translate\((\d+),(\d+)\)"', lambda m: f'{html}' st.write(html, unsafe_allow_html=True) except Exception as e: logger.error(f"Error en diagrama {i}: {str(e)}") continue except Exception as e: logger.error(f"Error en display_morphosyntax_results: {str(e)}")