#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 prevenir saltos y mejorar estabilidad
st.markdown("""
""", unsafe_allow_html=True)
# Controlar estado de la página
if 'active_tab' not in st.session_state:
st.session_state.active_tab = 'morphosyntax'
# Manejar cambios de texto sin recargar
def handle_text_change():
text = st.session_state.get(st.session_state.text_key, '')
st.session_state.current_text = text
# No provocar rerun aquí
# Sección de texto original
with st.container():
st.markdown("### Texto Original")
# Clave única para el texto
st.session_state.text_key = f"text_input_{st.session_state.get('analysis_count', 0)}"
original_text = st.text_area(
"Ingrese una oración",
value=st.session_state.get('current_text', ''),
key=st.session_state.text_key,
on_change=handle_text_change,
placeholder="Ingresar solo una oración hasta el punto y aparte. Si es punto seguido, dejar así.",
height=100
)
col1, col2, col3 = st.columns([2,1,2])
with col1:
if st.button(
"Analizar Texto Original",
use_container_width=True,
disabled=not bool(original_text.strip())
):
with st.spinner("Analizando..."):
try:
doc = nlp_models[lang_code](original_text)
analysis = perform_advanced_morphosyntactic_analysis(
original_text,
nlp_models[lang_code]
)
# Actualizar solo el diagrama
with st.container():
st.markdown("### Diagrama Original")
display_morphosyntax_results(
{'doc': doc, 'analysis': analysis},
lang_code,
morpho_t
)
# Guardar estado sin recargar
st.session_state.original_analysis = {
'doc': doc,
'analysis': analysis
}
st.session_state.current_text = original_text
if store_student_morphosyntax_result(
username=st.session_state.username,
text=original_text,
arc_diagrams=analysis['arc_diagrams']
):
st.success("Análisis guardado")
except Exception as e:
logger.error(f"Error en análisis: {str(e)}")
st.error("Error al procesar el texto")
# Sección de iteraciones
if 'original_analysis' in st.session_state:
st.markdown("---")
st.markdown("### Iteración Actual")
iteration_key = f"iteration_{st.session_state.get('iteration_count', 0)}"
iteration_text = st.text_area(
"Modifique la oración",
value=st.session_state.get('current_text', ''),
key=iteration_key,
height=100,
placeholder="Modifique el texto para mejorar la estructura"
)
col1, col2, col3 = st.columns([2,1,2])
with col1:
if st.button(
"Analizar Cambios",
use_container_width=True,
disabled=not bool(iteration_text.strip())
):
with st.spinner("Procesando cambios..."):
try:
doc = nlp_models[lang_code](iteration_text)
analysis = perform_advanced_morphosyntactic_analysis(
iteration_text,
nlp_models[lang_code]
)
# Actualizar solo el diagrama de iteración
with st.container():
st.markdown("### Diagrama de Iteración")
display_morphosyntax_results(
{'doc': doc, 'analysis': analysis},
lang_code,
morpho_t
)
# Guardar iteración
if 'iterations' not in st.session_state:
st.session_state.iterations = []
st.session_state.iterations.append({
'text': iteration_text,
'analysis': {'doc': doc, 'analysis': analysis},
'timestamp': pd.Timestamp.now()
})
st.session_state.current_text = iteration_text
st.session_state.iteration_count = len(st.session_state.iterations)
if store_student_morphosyntax_result(
username=st.session_state.username,
text=iteration_text,
arc_diagrams=analysis['arc_diagrams']
):
st.success("Iteración guardada")
except Exception as e:
logger.error(f"Error en iteración: {str(e)}")
st.error("Error al procesar los cambios")
# Historial de iteraciones
if st.session_state.get('iterations'):
with st.expander("Historial de Iteraciones", expanded=False):
for idx, iteration in enumerate(reversed(st.session_state.iterations)):
st.text_area(
f"Texto de iteración {idx + 1}",
value=iteration['text'],
disabled=True,
height=100
)
display_morphosyntax_results(
iteration['analysis'],
lang_code,
morpho_t
)
st.markdown("---")
except Exception as e:
logger.error(f"Error general: {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'