#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 mejorado para estabilidad y layout vertical
        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;
                min-height: 100px !important;
                height: 100px !important;
            }
            .block-container {
                padding-top: 0.5rem !important;
                padding-bottom: 0.5rem !important;
                margin: 0 !important;
            }
            .main-content {
                display: flex;
                flex-direction: column;
                gap: 1rem;
                padding: 0.5rem;
            }
            .arc-diagram-container {
                width: 100%;
                overflow-x: auto;
                background-color: white;
                padding: 0.5rem;
                border-radius: 0.375rem;
                box-shadow: 0 1px 2px rgba(0,0,0,0.1);
                margin-top: 0.5rem;
            }
            </style>
        """, unsafe_allow_html=True)

        # Inicialización más robusta del estado
        if 'morphosyntax_state' not in st.session_state:
            st.session_state.morphosyntax_state = {
                'original_text': '',
                'current_text': '',
                'original_analysis': None,
                'analysis_count': 0,
                'iterations': []  # Inicialización explícita de iterations como lista vacía
            }
        else:
            # Asegurar que todas las claves existan
            required_keys = {
                'original_text': '',
                'current_text': '',
                'original_analysis': None,
                'analysis_count': 0,
                'iterations': []
            }
            for key, default_value in required_keys.items():
                if key not in st.session_state.morphosyntax_state:
                    st.session_state.morphosyntax_state[key] = default_value

        with st.container():
            # Sección de texto original
            st.markdown("### Texto Original")
            
            # Input para texto original
            original_text = st.text_area(
                "Ingrese una oración", 
                value=st.session_state.morphosyntax_state['original_text'],
                key="original_text_input",
                placeholder="Ingresar solo una oración hasta el punto y aparte. Si es punto seguido, dejar así.",
                height=100,
                disabled=False
            )

            # Botón para analizar texto original
            col1, col2, col3 = st.columns([2,1,2])
            with col1:
                analyze_original = st.button(
                    "Analizar Texto Original",
                    type="primary",
                    use_container_width=True,
                    disabled=not bool(original_text.strip())
                )

            # Procesar texto original
            if analyze_original and original_text.strip():
                try:
                    with st.spinner("Procesando texto original..."):
                        doc = nlp_models[lang_code](original_text)
                        analysis = perform_advanced_morphosyntactic_analysis(
                            original_text,
                            nlp_models[lang_code]
                        )
                        
                        # Actualizar estado de forma segura
                        st.session_state.morphosyntax_state.update({
                            'original_text': original_text,
                            'current_text': original_text,
                            'original_analysis': {
                                'doc': doc,
                                'advanced_analysis': analysis
                            },
                            'iterations': []  # Reiniciar iteraciones al cambiar texto original
                        })
                        
                        # 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 analizado exitosamente")
                        else:
                            st.error("Error al guardar el análisis original")
                except Exception as e:
                    logger.error(f"Error procesando texto original: {str(e)}")
                    st.error("Error al procesar el texto original")

            # Mostrar diagrama original
            if st.session_state.morphosyntax_state['original_analysis']:
                display_morphosyntax_results(
                    st.session_state.morphosyntax_state['original_analysis'],
                    lang_code,
                    morpho_t
                )

            # Sección de iteración
            st.markdown("---")
            st.markdown("### Iteración Actual")
            
            # Campo para nueva versión
            iteration_text = st.text_area(
                "Modifique la oración",
                value=st.session_state.morphosyntax_state['current_text'],
                key=f"iteration_input_{st.session_state.morphosyntax_state['analysis_count']}",
                placeholder="Ingresar solo una oración hasta el punto y aparte. Si es punto seguido, dejar así.",
                height=100
            )

            # Botón para analizar iteración
            col1, col2, col3 = st.columns([2,1,2])
            with col1:
                analyze_iteration = 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_iteration 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
                        }
                        
                        # Crear nueva iteración
                        new_iteration = {
                            'text': iteration_text,
                            'analysis': current_analysis,
                            'timestamp': pd.Timestamp.now()
                        }
                        
                        # Actualizar estado de forma segura
                        iterations = st.session_state.morphosyntax_state.get('iterations', [])
                        iterations.append(new_iteration)
                        st.session_state.morphosyntax_state.update({
                            'current_text': iteration_text,
                            'analysis_count': st.session_state.morphosyntax_state['analysis_count'] + 1,
                            'iterations': iterations
                        })
                        
                        if store_student_morphosyntax_result(
                            username=st.session_state.username,
                            text=iteration_text,
                            arc_diagrams=analysis['arc_diagrams']
                        ):
                            # Mostrar resultados de la iteración
                            display_morphosyntax_results(
                                current_analysis,
                                lang_code,
                                morpho_t
                            )
                        else:
                            st.error("Error al guardar la iteración")
                except Exception as e:
                    logger.error(f"Error procesando iteración: {str(e)}")
                    st.error("Error al procesar los cambios")

            # Mostrar historial de iteraciones
            if st.session_state.morphosyntax_state.get('iterations', []):
                with st.expander("Historial de Iteraciones", expanded=False):
                    for idx, iteration in enumerate(reversed(st.session_state.morphosyntax_state['iterations'])):
                        st.markdown(f"**Iteración {idx + 1} ({iteration['timestamp'].strftime('%H:%M:%S')})**")
                        st.text_area(
                            f"Texto {idx + 1}",
                            value=iteration['text'],
                            disabled=True,
                            height=100,
                            key=f"hist_text_{idx}"
                        )
                        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}")