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#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 dise帽o
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 iteraci贸n seg煤n 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 versi贸n original y 谩rea de iteraci贸n
st.markdown("### Versi贸n Original")
# Columnas para texto original y su an谩lisis
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("#### An谩lisis Original")
display_morphosyntax_results(
st.session_state.morphosyntax_state['original_analysis'],
lang_code,
morpho_t
)
# 脕rea de iteraci贸n
st.markdown("---")
st.markdown("### Iteraci贸n Actual")
# Campo para nueva versi贸n
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
)
# Bot贸n de an谩lisis
col1, col2, col3 = st.columns([2,1,2])
with col1:
analyze_button = st.button(
"Analizar Cambios",
type="primary",
icon="馃攳",
key=f"analyze_{st.session_state.morphosyntax_state['analysis_count']}",
disabled=not bool(iteration_text.strip()),
use_container_width=True
)
# Procesar iteraci贸n
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 iteraci贸n
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("An谩lisis guardado exitosamente")
# Mostrar an谩lisis actual
st.markdown("#### An谩lisis Actual")
display_morphosyntax_results(
current_analysis,
lang_code,
morpho_t
)
else:
st.error("Error al guardar el an谩lisis")
except Exception as e:
logger.error(f"Error procesando iteraci贸n: {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"**Iteraci贸n {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 an谩lisis sint谩ctico con diagramas de arco.
"""
if result is None:
st.warning(morpho_t.get('no_results', 'No results available'))
return
doc = result['doc']
# An谩lisis sint谩ctico (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}") |