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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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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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def display_morphosyntax_interface(lang_code, nlp_models, morpho_t): |
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try: |
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st.markdown(""" |
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<style> |
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.stTextArea textarea { |
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font-size: 1rem; |
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line-height: 1.5; |
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padding: 0.5rem; |
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border-radius: 0.375rem; |
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border: 1px solid #e2e8f0; |
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background-color: white; |
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min-height: 100px !important; |
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height: 100px !important; |
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} |
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.block-container { |
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padding-top: 0.5rem !important; |
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padding-bottom: 0.5rem !important; |
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margin: 0 !important; |
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} |
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.main-content { |
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display: flex; |
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flex-direction: column; |
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gap: 1rem; |
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padding: 0.5rem; |
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} |
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.arc-diagram-container { |
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width: 100%; |
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overflow-x: auto; |
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background-color: white; |
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padding: 0.5rem; |
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border-radius: 0.375rem; |
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box-shadow: 0 1px 2px rgba(0,0,0,0.1); |
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margin-top: 0.5rem; |
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} |
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</style> |
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""", unsafe_allow_html=True) |
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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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'original_text': '', |
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'current_text': '', |
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'original_analysis': None, |
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'analysis_count': 0, |
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'iterations': [] |
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} |
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else: |
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required_keys = { |
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'original_text': '', |
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'current_text': '', |
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'original_analysis': None, |
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'analysis_count': 0, |
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'iterations': [] |
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} |
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for key, default_value in required_keys.items(): |
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if key not in st.session_state.morphosyntax_state: |
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st.session_state.morphosyntax_state[key] = default_value |
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with st.container(): |
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st.markdown("### Texto Original") |
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original_text = st.text_area( |
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"Ingrese una oraci贸n", |
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value=st.session_state.morphosyntax_state['original_text'], |
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key="original_text_input", |
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placeholder="Ingresar solo una oraci贸n hasta el punto y aparte. Si es punto seguido, dejar as铆.", |
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height=100, |
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disabled=False |
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) |
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col1, col2, col3 = st.columns([2,1,2]) |
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with col1: |
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analyze_original = st.button( |
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"Analizar Texto Original", |
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type="primary", |
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use_container_width=True, |
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disabled=not bool(original_text.strip()) |
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) |
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if analyze_original and original_text.strip(): |
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try: |
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with st.spinner("Procesando texto original..."): |
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doc = nlp_models[lang_code](original_text) |
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analysis = perform_advanced_morphosyntactic_analysis( |
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original_text, |
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nlp_models[lang_code] |
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) |
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st.session_state.morphosyntax_state.update({ |
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'original_text': original_text, |
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'current_text': original_text, |
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'original_analysis': { |
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'doc': doc, |
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'advanced_analysis': analysis |
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}, |
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'iterations': [] |
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}) |
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if store_student_morphosyntax_result( |
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username=st.session_state.username, |
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text=original_text, |
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arc_diagrams=analysis['arc_diagrams'] |
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): |
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st.success("Texto original analizado exitosamente") |
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else: |
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st.error("Error al guardar el an谩lisis original") |
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except Exception as e: |
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logger.error(f"Error procesando texto original: {str(e)}") |
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st.error("Error al procesar el texto original") |
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if st.session_state.morphosyntax_state['original_analysis']: |
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display_morphosyntax_results( |
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st.session_state.morphosyntax_state['original_analysis'], |
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lang_code, |
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morpho_t |
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) |
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st.markdown("---") |
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st.markdown("### Iteraci贸n Actual") |
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iteration_text = st.text_area( |
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"Modifique la oraci贸n", |
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value=st.session_state.morphosyntax_state['current_text'], |
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key=f"iteration_input_{st.session_state.morphosyntax_state['analysis_count']}", |
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placeholder="Ingresar solo una oraci贸n hasta el punto y aparte. Si es punto seguido, dejar as铆.", |
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height=100 |
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) |
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col1, col2, col3 = st.columns([2,1,2]) |
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with col1: |
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analyze_iteration = st.button( |
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"Analizar Cambios", |
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type="primary", |
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icon="馃攳", |
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key=f"analyze_{st.session_state.morphosyntax_state['analysis_count']}", |
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disabled=not bool(iteration_text.strip()), |
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use_container_width=True |
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) |
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if analyze_iteration and iteration_text.strip(): |
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try: |
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with st.spinner("Procesando cambios..."): |
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doc = nlp_models[lang_code](iteration_text) |
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analysis = perform_advanced_morphosyntactic_analysis( |
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iteration_text, |
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nlp_models[lang_code] |
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) |
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current_analysis = { |
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'doc': doc, |
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'advanced_analysis': analysis |
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} |
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new_iteration = { |
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'text': iteration_text, |
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'analysis': current_analysis, |
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'timestamp': pd.Timestamp.now() |
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} |
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iterations = st.session_state.morphosyntax_state.get('iterations', []) |
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iterations.append(new_iteration) |
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st.session_state.morphosyntax_state.update({ |
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'current_text': iteration_text, |
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'analysis_count': st.session_state.morphosyntax_state['analysis_count'] + 1, |
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'iterations': iterations |
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}) |
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if store_student_morphosyntax_result( |
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username=st.session_state.username, |
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text=iteration_text, |
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arc_diagrams=analysis['arc_diagrams'] |
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): |
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display_morphosyntax_results( |
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current_analysis, |
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lang_code, |
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morpho_t |
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) |
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else: |
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st.error("Error al guardar la iteraci贸n") |
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except Exception as e: |
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logger.error(f"Error procesando iteraci贸n: {str(e)}") |
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st.error("Error al procesar los cambios") |
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if st.session_state.morphosyntax_state.get('iterations', []): |
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with st.expander("Historial de Iteraciones", expanded=False): |
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for idx, iteration in enumerate(reversed(st.session_state.morphosyntax_state['iterations'])): |
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st.markdown(f"**Iteraci贸n {idx + 1} ({iteration['timestamp'].strftime('%H:%M:%S')})**") |
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st.text_area( |
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f"Texto {idx + 1}", |
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value=iteration['text'], |
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disabled=True, |
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height=100, |
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key=f"hist_text_{idx}" |
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) |
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display_morphosyntax_results( |
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iteration['analysis'], |
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lang_code, |
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morpho_t |
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) |
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st.markdown("---") |
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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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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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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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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}") |