modules/morphosyntax/morphosyntax_interface.py

#modules/morphosyntax/morphosyntax_interface.py

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

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__)

###########################################################################

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

############################################################################

def display_morphosyntax_interface(lang_code, nlp_models, morpho_t):
    try:
        # CSS para mejorar la estabilidad y diseño
        st.markdown("""
            <style>
            .stTextArea textarea {
                font-size: 1rem;
                line-height: 1.5;
                padding: 0.5rem;
                border-radius: 0.375rem;
                border: 1px solid #e2e8f0;
                background-color: white;
            }
            .original-content {
                background-color: #f8fafc;
                padding: 1rem;
                border-radius: 0.5rem;
                margin-bottom: 1rem;
            }
            .iteration-content {
                background-color: white;
                padding: 1rem;
                border-radius: 0.5rem;
                border: 1px solid #e2e8f0;
            }
            .arc-diagram-container {
                background-color: white;
                padding: 1rem;
                border-radius: 0.5rem;
                box-shadow: 0 1px 3px rgba(0,0,0,0.1);
                margin-top: 1rem;
            }
            </style>
        """, unsafe_allow_html=True)

        # Verificar si el estado existe y tiene todas las claves necesarias
        if 'morphosyntax_state' not in st.session_state:
            st.session_state['morphosyntax_state'] = {}
        
        # Asegurarse de que todas las claves existan con valores por defecto
        default_state = {
            'has_original': False,
            'original_text': '',
            'original_analysis': None,
            'current_text': '',
            'iterations': [],
            'analysis_count': 0
        }
        
        # Actualizar solo las claves faltantes
        for key, value in default_state.items():
            if key not in st.session_state.morphosyntax_state:
                st.session_state.morphosyntax_state[key] = value

        # Mostrar interfaz inicial o de iteración según el estado
        if not st.session_state.morphosyntax_state['has_original']:
            st.markdown("### Texto Original")
            original_text = st.text_area(
                "Ingrese su texto inicial",
                key="original_text_input",
                height=150
            )
            
            col1, col2, col3 = st.columns([2,1,2])
            with col1:
                if st.button(
                    "Establecer como Texto Original", 
                    type="primary",
                    use_container_width=True,
                    disabled=not bool(original_text.strip())
                ):
                    try:
                        # Procesar texto original
                        doc = nlp_models[lang_code](original_text)
                        analysis = perform_advanced_morphosyntactic_analysis(
                            original_text,
                            nlp_models[lang_code]
                        )
                        
                        # Guardar estado original
                        st.session_state.morphosyntax_state.update({
                            'has_original': True,
                            'original_text': original_text,
                            'original_analysis': {
                                'doc': doc,
                                'advanced_analysis': analysis
                            },
                            'current_text': original_text
                        })
                        
                        # Guardar en base de datos
                        if store_student_morphosyntax_result(
                            username=st.session_state.username,
                            text=original_text,
                            arc_diagrams=analysis['arc_diagrams']
                        ):
                            st.success("Texto original guardado exitosamente")
                            st.rerun()
                        else:
                            st.error("Error al guardar el texto original")
                    
                    except Exception as e:
                        logger.error(f"Error procesando texto original: {str(e)}")
                        st.error("Error al procesar el texto original")

        else:
            # Mostrar versión original y área de iteración
            st.markdown("### Versión Original")
            
            # Columnas para texto original y su análisis
            col1, col2 = st.columns([1,1])
            with col1:
                st.markdown("#### Texto Original")
                st.markdown(f"<div class='original-content'>{st.session_state.morphosyntax_state['original_text']}</div>", 
                          unsafe_allow_html=True)
            
            with col2:
                st.markdown("#### Análisis Original")
                display_morphosyntax_results(
                    st.session_state.morphosyntax_state['original_analysis'],
                    lang_code,
                    morpho_t
                )

            # Área de iteración
            st.markdown("---")
            st.markdown("### Iteración Actual")
            
            # Campo para nueva versión
            iteration_text = st.text_area(
                "Modifique su texto",
                value=st.session_state.morphosyntax_state['current_text'],
                key=f"iteration_input_{st.session_state.morphosyntax_state['analysis_count']}",
                height=150
            )

            # Botón de análisis
            col1, col2, col3 = st.columns([2,1,2])
            with col1:
                analyze_button = st.button(
                    "Analizar Cambios",
                    type="primary",
                    icon="🔍",
                    key=f"analyze_{st.session_state.morphosyntax_state['analysis_count']}",
                    disabled=not bool(iteration_text.strip()),
                    use_container_width=True
                )

            # Procesar iteración
            if analyze_button and iteration_text.strip():
                try:
                    with st.spinner("Procesando cambios..."):
                        doc = nlp_models[lang_code](iteration_text)
                        analysis = perform_advanced_morphosyntactic_analysis(
                            iteration_text,
                            nlp_models[lang_code]
                        )
                        
                        current_analysis = {
                            'doc': doc,
                            'advanced_analysis': analysis
                        }
                        
                        # Guardar iteración
                        st.session_state.morphosyntax_state['iterations'].append({
                            'text': iteration_text,
                            'analysis': current_analysis,
                            'timestamp': pd.Timestamp.now()
                        })
                        
                        st.session_state.morphosyntax_state['current_text'] = iteration_text
                        st.session_state.morphosyntax_state['analysis_count'] += 1
                        
                        # Guardar en base de datos
                        if store_student_morphosyntax_result(
                            username=st.session_state.username,
                            text=iteration_text,
                            arc_diagrams=analysis['arc_diagrams']
                        ):
                            st.success("Análisis guardado exitosamente")
                            
                            # Mostrar análisis actual
                            st.markdown("#### Análisis Actual")
                            display_morphosyntax_results(
                                current_analysis,
                                lang_code,
                                morpho_t
                            )
                        else:
                            st.error("Error al guardar el análisis")
                
                except Exception as e:
                    logger.error(f"Error procesando iteración: {str(e)}")
                    st.error("Error al procesar los cambios")

            # Mostrar historial
            if st.session_state.morphosyntax_state['iterations']:
                with st.expander("Ver Historial de Iteraciones"):
                    for idx, iteration in enumerate(reversed(st.session_state.morphosyntax_state['iterations']), 1):
                        st.markdown(f"**Iteración {idx} - {iteration['timestamp'].strftime('%H:%M:%S')}**")
                        st.markdown(f"```\n{iteration['text']}\n```")
                        display_morphosyntax_results(
                            iteration['analysis'],
                            lang_code,
                            morpho_t
                        )
                        st.markdown("---")

    except Exception as e:
        logger.error(f"Error general en display_morphosyntax_interface: {str(e)}")
        st.error("Se produjo un error. Por favor, intente de nuevo.")




#########################################################################3
def display_morphosyntax_results(result, lang_code, morpho_t):
    """
    Muestra solo el análisis sintáctico con diagramas de arco.
    """
    if result is None:
        st.warning(morpho_t.get('no_results', 'No results available'))
        return

    doc = result['doc']

    # Análisis sintáctico (diagramas de arco)
    st.markdown(f"### {morpho_t.get('arc_diagram', 'Syntactic analysis: Arc diagram')}")
    
    with st.container():
        sentences = list(doc.sents)
        for i, sent in enumerate(sentences):
            with st.container():
                st.subheader(f"{morpho_t.get('sentence', 'Sentence')} {i+1}")
                try:
                    html = displacy.render(sent, style="dep", options={
                        "distance": 100,
                        "arrow_spacing": 20,
                        "word_spacing": 30
                    })
                    # Ajustar dimensiones del SVG
                    html = html.replace('height="375"', 'height="200"')
                    html = re.sub(r'<svg[^>]*>', lambda m: m.group(0).replace('height="450"', 'height="300"'), html)
                    html = re.sub(r'<g [^>]*transform="translate\((\d+),(\d+)\)"', 
                                lambda m: f'<g transform="translate({m.group(1)},50)"', html)
                    
                    # Envolver en un div con clase para estilos
                    html = f'<div class="arc-diagram-container">{html}</div>'
                    st.write(html, unsafe_allow_html=True)
                except Exception as e:
                    logger.error(f"Error rendering sentence {i}: {str(e)}")
                    st.error(f"Error displaying diagram for sentence {i+1}")