Create morphosyntax_interface_BackUp_Dec-28-Ok.py
Browse files
modules/morphosyntax/morphosyntax_interface_BackUp_Dec-28-Ok.py
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+
#modules/morphosyntax/morphosyntax_interface.py
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import streamlit as st
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from streamlit_float import *
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from streamlit_antd_components import *
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from streamlit.components.v1 import html
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import spacy
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from spacy import displacy
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import spacy_streamlit
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import pandas as pd
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import base64
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import re
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from .morphosyntax_process import (
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process_morphosyntactic_input,
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format_analysis_results,
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perform_advanced_morphosyntactic_analysis,
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get_repeated_words_colors,
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highlight_repeated_words,
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POS_COLORS,
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POS_TRANSLATIONS
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)
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from ..utils.widget_utils import generate_unique_key
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from ..database.morphosintax_mongo_db import store_student_morphosyntax_result
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from ..database.chat_mongo_db import store_chat_history, get_chat_history
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import logging
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logger = logging.getLogger(__name__)
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def display_morphosyntax_interface(lang_code, nlp_models, morpho_t):
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try:
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# Inicializar el estado si no existe
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if 'morphosyntax_state' not in st.session_state:
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st.session_state.morphosyntax_state = {
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'analysis_count': 0,
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'current_text': '', # Almacenar el texto actual
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'last_analysis': None,
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'needs_update': False # Flag para actualizaci贸n
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}
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# Campo de entrada de texto que mantiene su valor
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text_key = "morpho_text_input"
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# Funci贸n para manejar cambios en el texto
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def on_text_change():
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st.session_state.morphosyntax_state['current_text'] = st.session_state[text_key]
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st.session_state.morphosyntax_state['needs_update'] = True
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# Recuperar el texto anterior si existe
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default_text = st.session_state.morphosyntax_state.get('current_text', '')
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sentence_input = st.text_area(
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morpho_t.get('morpho_input_label', 'Enter text to analyze'),
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value=default_text, # Usar el texto guardado
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height=150,
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key=text_key,
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on_change=on_text_change,
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placeholder=morpho_t.get('morpho_input_placeholder', 'Enter your text here...')
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)
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# Bot贸n de an谩lisis
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col1, col2, col3 = st.columns([2,1,2])
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with col1:
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analyze_button = st.button(
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morpho_t.get('morpho_analyze_button', 'Analyze Morphosyntax'),
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key=f"morpho_button_{st.session_state.morphosyntax_state['analysis_count']}",
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type="primary",
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icon="馃攳",
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disabled=not bool(sentence_input.strip()),
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use_container_width=True
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)
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# Procesar an谩lisis solo cuando sea necesario
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if (analyze_button or st.session_state.morphosyntax_state['needs_update']) and sentence_input.strip():
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try:
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with st.spinner(morpho_t.get('processing', 'Processing...')):
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doc = nlp_models[lang_code](sentence_input)
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advanced_analysis = perform_advanced_morphosyntactic_analysis(
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sentence_input,
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nlp_models[lang_code]
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)
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st.session_state.morphosyntax_result = {
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'doc': doc,
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'advanced_analysis': advanced_analysis
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}
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# Solo guardar en DB si fue un click en el bot贸n
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if analyze_button:
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if store_student_morphosyntax_result(
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username=st.session_state.username,
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text=sentence_input,
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arc_diagrams=advanced_analysis['arc_diagrams']
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):
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st.success(morpho_t.get('success_message', 'Analysis saved successfully'))
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st.session_state.morphosyntax_state['analysis_count'] += 1
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st.session_state.morphosyntax_state['needs_update'] = False
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# Mostrar resultados en un contenedor espec铆fico
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with st.container():
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display_morphosyntax_results(
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st.session_state.morphosyntax_result,
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lang_code,
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morpho_t
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)
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except Exception as e:
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logger.error(f"Error en an谩lisis morfosint谩ctico: {str(e)}")
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st.error(morpho_t.get('error_processing', f'Error processing text: {str(e)}'))
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# Mostrar resultados previos si existen
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elif 'morphosyntax_result' in st.session_state and st.session_state.morphosyntax_result:
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with st.container():
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display_morphosyntax_results(
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st.session_state.morphosyntax_result,
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lang_code,
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morpho_t
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)
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except Exception as e:
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logger.error(f"Error general en display_morphosyntax_interface: {str(e)}")
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st.error("Se produjo un error. Por favor, intente de nuevo.")
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def display_morphosyntax_results(result, lang_code, morpho_t):
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"""
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Muestra solo el an谩lisis sint谩ctico con diagramas de arco.
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"""
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if result is None:
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st.warning(morpho_t.get('no_results', 'No results available'))
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return
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doc = result['doc']
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# An谩lisis sint谩ctico (diagramas de arco)
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st.markdown(f"### {morpho_t.get('arc_diagram', 'Syntactic analysis: Arc diagram')}")
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with st.container():
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sentences = list(doc.sents)
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for i, sent in enumerate(sentences):
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with st.container():
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st.subheader(f"{morpho_t.get('sentence', 'Sentence')} {i+1}")
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try:
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html = displacy.render(sent, style="dep", options={
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"distance": 100,
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"arrow_spacing": 20,
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"word_spacing": 30
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})
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# Ajustar dimensiones del SVG
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html = html.replace('height="375"', 'height="200"')
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html = re.sub(r'<svg[^>]*>', lambda m: m.group(0).replace('height="450"', 'height="300"'), html)
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html = re.sub(r'<g [^>]*transform="translate\((\d+),(\d+)\)"',
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lambda m: f'<g transform="translate({m.group(1)},50)"', html)
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# Envolver en un div con clase para estilos
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html = f'<div class="arc-diagram-container">{html}</div>'
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st.write(html, unsafe_allow_html=True)
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except Exception as e:
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logger.error(f"Error rendering sentence {i}: {str(e)}")
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st.error(f"Error displaying diagram for sentence {i+1}")
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