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#morphosyntax_interface.py
import streamlit as st
import re
import logging
from spacy import displacy
# Funciones de an谩lisis y DB que ya tienes en tus m贸dulos
from ..morphosyntax.morphosyntax_process import perform_advanced_morphosyntactic_analysis
from ..database.morphosyntax_iterative_mongo_db import (
store_student_morphosyntax_base,
store_student_morphosyntax_iteration,
)
from translations import get_translations
logger = logging.getLogger(__name__)
###########################################################################
def initialize_arc_analysis_state():
"""Inicializa el estado de an谩lisis de arcos (base e iteraciones) si no existe."""
if "arc_analysis_state" not in st.session_state:
st.session_state.arc_analysis_state = {
"base_id": None,
"base_text": "",
"base_diagram": None,
"iteration_text": "",
"iteration_diagram": None,
}
logger.info("Estado de an谩lisis de arcos inicializado.")
###########################################################################
def reset_arc_analysis_state():
"""Resetea completamente el estado de an谩lisis de arcos."""
st.session_state.arc_analysis_state = {
"base_id": None,
"base_text": "",
"base_diagram": None,
"iteration_text": "",
"iteration_diagram": None,
}
logger.info("Estado de arcos reseteado.")
###########################################################################
def display_arc_diagram(doc):
"""
Genera y retorna el HTML del diagrama de arco para un Doc de spaCy.
No imprime directamente; retorna el HTML para usar con st.write(...).
"""
try:
diagram_html = ""
for sent in doc.sents:
svg_html = displacy.render(
sent,
style="dep",
options={
"distance": 100,
"arrow_spacing": 20,
"word_spacing": 30
}
)
# Ajustar tama帽os en el SVG resultante
svg_html = svg_html.replace('height="375"', 'height="200"')
svg_html = re.sub(
r'<svg[^>]*>',
lambda m: m.group(0).replace('height="450"', 'height="300"'),
svg_html
)
svg_html = re.sub(
r'<g [^>]*transform="translate\((\d+),(\d+)\)"',
lambda m: f'<g transform="translate({m.group(1)},50)"',
svg_html
)
# Envolver en contenedor
diagram_html += f'<div class="arc-diagram-container">{svg_html}</div>'
return diagram_html
except Exception as e:
logger.error(f"Error en display_arc_diagram: {str(e)}")
return "<p style='color:red;'>Error generando diagrama</p>"
###########################################################################
def display_morphosyntax_interface(lang_code, nlp_models, morpho_t):
"""
Interfaz principal para la visualizaci贸n de diagramas de arco
(Texto Base vs Iteraciones), usando traducciones con morpho_t.
"""
# CSS para layout y estilo
st.markdown("""
<style>
.stTextArea textarea {
font-size: 1rem;
line-height: 1.5;
min-height: 100px !important;
height: 100px !important;
}
.arc-diagram-container {
width: 100%;
padding: 0.5rem;
margin: 0.5rem 0;
}
.divider {
height: 3px;
border: none;
background-color: #333;
margin: 2rem 0;
}
</style>
""", unsafe_allow_html=True)
# 1) Inicializar estados
initialize_arc_analysis_state()
arc_state = st.session_state.arc_analysis_state
# 2) Crear pesta帽as con etiquetas traducidas
tab_text_base = morpho_t.get('tab_text_base', 'Texto Base')
tab_iterations = morpho_t.get('tab_iterations', 'Iteraciones')
tabs = st.tabs([tab_text_base, tab_iterations])
# =================== PESTA脩A 1: Texto Base ==========================
with tabs[0]:
st.subheader(morpho_t.get('analysis_base_subheader', "An谩lisis de Texto Base"))
# Bot贸n para iniciar nuevo an谩lisis
if st.button(morpho_t.get('btn_new_analysis', "Nuevo An谩lisis"), key="btn_reset_base"):
# Si fuera necesario recargar la app por completo:
# st.experimental_rerun()
reset_arc_analysis_state()
# Textarea de texto base
arc_state["base_text"] = st.text_area(
morpho_t.get('input_base_text', "Ingrese su texto inicial"),
value=arc_state["base_text"],
key="base_text_input",
height=150
)
# Bot贸n para analizar texto base
if st.button(morpho_t.get('btn_analyze_base', "Analizar Texto Base"), key="btn_analyze_base"):
if not arc_state["base_text"].strip():
st.warning(morpho_t.get('warn_enter_text', "Ingrese un texto para analizar."))
else:
try:
# Procesar con spaCy
doc = nlp_models[lang_code](arc_state["base_text"])
base_arc_html = display_arc_diagram(doc)
arc_state["base_diagram"] = base_arc_html
# Guardar en Mongo
analysis = perform_advanced_morphosyntactic_analysis(
arc_state["base_text"],
nlp_models[lang_code]
)
base_id = store_student_morphosyntax_base(
username=st.session_state.username,
text=arc_state["base_text"],
arc_diagrams=analysis["arc_diagrams"]
)
if base_id:
arc_state["base_id"] = base_id
saved_msg = morpho_t.get('analysis_base_saved', "An谩lisis base guardado. ID: {base_id}")
st.success(saved_msg.format(base_id=base_id))
except Exception as exc:
st.error(morpho_t.get('error_processing_base', "Error procesando texto base"))
logger.error(f"Error en an谩lisis base: {str(exc)}")
# Mostrar diagrama base
if arc_state["base_diagram"]:
st.markdown("<hr class='divider'>", unsafe_allow_html=True)
st.markdown(f"#### {morpho_t.get('arc_diagram_base_label', 'Diagrama de Arco (Texto Base)')}")
st.write(arc_state["base_diagram"], unsafe_allow_html=True)
else:
if arc_state["base_text"].strip():
# Solo mostrar si ya hay texto base pero no se ha procesado
st.info(morpho_t.get('base_diagram_not_available', "No hay diagrama base disponible."))
# ================== PESTA脩A 2: Iteraciones ==========================
with tabs[1]:
st.subheader(morpho_t.get('analysis_iterations_subheader', "An谩lisis de Cambios / Iteraciones"))
# Verificar que exista un texto base
if not arc_state["base_id"]:
st.info(morpho_t.get('info_first_analyze_base',
"Primero analiza un texto base en la pesta帽a anterior."))
return
# --- 1) Mostrar SIEMPRE el diagrama base arriba ---
st.markdown(f"#### {morpho_t.get('arc_diagram_base_label', 'Diagrama de Arco (Texto Base)')}")
if arc_state["base_diagram"]:
st.write(arc_state["base_diagram"], unsafe_allow_html=True)
else:
st.info(morpho_t.get('base_diagram_not_available', "No hay diagrama base disponible."))
# --- 2) Caja de texto para la iteraci贸n ---
st.markdown("<hr class='divider'>", unsafe_allow_html=True)
st.subheader(morpho_t.get('iteration_text_subheader', "Texto de Iteraci贸n"))
arc_state["iteration_text"] = st.text_area(
morpho_t.get('input_iteration_text', "Ingrese su nueva versi贸n / iteraci贸n"),
value=arc_state["iteration_text"],
height=150
)
# Bot贸n para analizar iteraci贸n
if st.button(morpho_t.get('btn_analyze_iteration', "Analizar Cambios"), key="btn_analyze_iteration"):
if not arc_state["iteration_text"].strip():
st.warning(morpho_t.get('warn_enter_iteration_text', "Ingrese texto de iteraci贸n."))
else:
try:
# Procesar con spaCy
doc_iter = nlp_models[lang_code](arc_state["iteration_text"])
arc_html_iter = display_arc_diagram(doc_iter)
arc_state["iteration_diagram"] = arc_html_iter
# Guardar en Mongo
analysis_iter = perform_advanced_morphosyntactic_analysis(
arc_state["iteration_text"],
nlp_models[lang_code]
)
iteration_id = store_student_morphosyntax_iteration(
username=st.session_state.username,
base_id=arc_state["base_id"],
original_text=arc_state["base_text"],
iteration_text=arc_state["iteration_text"],
arc_diagrams=analysis_iter["arc_diagrams"]
)
if iteration_id:
saved_iter_msg = morpho_t.get('iteration_saved', "Iteraci贸n guardada. ID: {iteration_id}")
st.success(saved_iter_msg.format(iteration_id=iteration_id))
except Exception as exc:
st.error(morpho_t.get('error_iteration', "Error procesando iteraci贸n"))
logger.error(f"Error en iteraci贸n: {str(exc)}")
# --- 3) Mostrar diagrama de iteraci贸n debajo ---
if arc_state["iteration_diagram"]:
st.markdown("<hr class='divider'>", unsafe_allow_html=True)
st.markdown(f"#### {morpho_t.get('arc_diagram_iteration_label', 'Diagrama de Arco (Iteraci贸n)')}")
st.write(arc_state["iteration_diagram"], unsafe_allow_html=True)
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