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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 mejorado para estabilidad, layout y prevenci贸n de saltos
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;
}
.arc-diagram-container {
width: 100%;
overflow-x: auto;
background-color: white;
padding: 0.5rem;
border-radius: 0.375rem;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
margin: 0.5rem 0;
}
.stTab {
position: sticky;
top: 0;
z-index: 999;
}
[data-testid="stVerticalBlock"] {
gap: 0 !important;
}
</style>
""", unsafe_allow_html=True)
# Inicializaci贸n del estado
if 'current_tab' not in st.session_state:
st.session_state.current_tab = "morphosyntax"
if 'morphosyntax_state' not in st.session_state:
st.session_state.morphosyntax_state = {}
default_state = {
'original_text': '',
'original_analysis': None,
'current_text': '',
'current_analysis': None,
'analysis_count': 0,
'show_original': False,
'show_iteration': False
}
for key, default_value in default_state.items():
if key not in st.session_state.morphosyntax_state:
st.session_state.morphosyntax_state[key] = default_value
def update_analysis():
st.session_state.current_tab = "morphosyntax" # Mantener tab activo
# Secci贸n del texto original - Layout simplificado
st.text_area(
"", # Label vac铆o
value=st.session_state.morphosyntax_state['original_text'],
key="original_text_input",
placeholder="Ingresar solo una oraci贸n hasta el punto y aparte.",
height=100,
on_change=update_analysis
)
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(st.session_state.get("original_text_input", "").strip())
)
# Procesar y mostrar texto original
if analyze_original and st.session_state.get("original_text_input", "").strip():
try:
with st.spinner(""): # Spinner sin texto
doc = nlp_models[lang_code](st.session_state.original_text_input)
analysis = perform_advanced_morphosyntactic_analysis(
st.session_state.original_text_input,
nlp_models[lang_code]
)
st.session_state.morphosyntax_state.update({
'original_text': st.session_state.original_text_input,
'original_analysis': {'doc': doc, 'analysis': analysis},
'current_text': st.session_state.original_text_input,
'show_original': True,
'analysis_count': st.session_state.morphosyntax_state['analysis_count'] + 1
})
if store_student_morphosyntax_result(
username=st.session_state.username,
text=st.session_state.original_text_input,
arc_diagrams=analysis['arc_diagrams']
):
st.session_state.current_tab = "morphosyntax"
except Exception as e:
logger.error(f"Error en an谩lisis original: {str(e)}")
st.error("Error al procesar el texto")
# Mostrar diagrama original si existe
if st.session_state.morphosyntax_state.get('show_original'):
display_morphosyntax_results(
st.session_state.morphosyntax_state['original_analysis'],
lang_code,
morpho_t
)
st.markdown("---")
# Secci贸n de iteraci贸n - Layout simplificado
iteration_text = st.text_area(
"", # Label vac铆o
value=st.session_state.morphosyntax_state['current_text'],
key=f"iteration_input_{st.session_state.morphosyntax_state['analysis_count']}",
placeholder="Modifique el texto para mejorar la estructura",
height=100,
on_change=update_analysis
)
col1, col2, col3 = st.columns([2,1,2])
with col1:
analyze_iteration = st.button(
"Analizar Cambios",
type="primary",
use_container_width=True,
disabled=not bool(iteration_text.strip())
)
# Procesar y mostrar iteraci贸n
if analyze_iteration and iteration_text.strip():
try:
with st.spinner(""): # Spinner sin texto
doc = nlp_models[lang_code](iteration_text)
analysis = perform_advanced_morphosyntactic_analysis(
iteration_text,
nlp_models[lang_code]
)
st.session_state.morphosyntax_state.update({
'current_text': iteration_text,
'current_analysis': {'doc': doc, 'analysis': analysis},
'show_iteration': True,
'analysis_count': st.session_state.morphosyntax_state['analysis_count'] + 1
})
if store_student_morphosyntax_result(
username=st.session_state.username,
text=iteration_text,
arc_diagrams=analysis['arc_diagrams']
):
# Actualizar solo el diagrama de iteraci贸n
display_morphosyntax_results(
st.session_state.morphosyntax_state['current_analysis'],
lang_code,
morpho_t
)
except Exception as e:
logger.error(f"Error en iteraci贸n: {str(e)}")
st.error("Error al procesar los cambios")
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 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}") |