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| ############## | |
| ###modules/studentact/student_activities_v2.py | |
| import streamlit as st | |
| import re | |
| import io | |
| from io import BytesIO | |
| import pandas as pd | |
| import numpy as np | |
| import time | |
| import matplotlib.pyplot as plt | |
| from datetime import datetime | |
| from spacy import displacy | |
| import random | |
| import base64 | |
| import seaborn as sns | |
| import logging | |
| # Importaciones de la base de datos | |
| from ..database.morphosintax_mongo_db import get_student_morphosyntax_analysis | |
| from ..database.semantic_mongo_db import get_student_semantic_analysis | |
| from ..database.discourse_mongo_db import get_student_discourse_analysis | |
| from ..database.chat_mongo_db import get_chat_history | |
| logger = logging.getLogger(__name__) | |
| ################################################################################### | |
| def display_student_activities(username: str, lang_code: str, t: dict): | |
| """ | |
| Muestra todas las actividades del estudiante | |
| Args: | |
| username: Nombre del estudiante | |
| lang_code: Código del idioma | |
| t: Diccionario de traducciones | |
| """ | |
| try: | |
| st.header(t.get('activities_title', 'Mis Actividades')) | |
| # Tabs para diferentes tipos de análisis | |
| tabs = st.tabs([ | |
| t.get('morpho_activities', 'Análisis Morfosintáctico'), | |
| t.get('semantic_activities', 'Análisis Semántico'), | |
| t.get('discourse_activities', 'Análisis del Discurso'), | |
| t.get('chat_activities', 'Conversaciones con el Asistente') | |
| ]) | |
| # Tab de Análisis Morfosintáctico | |
| with tabs[0]: | |
| display_morphosyntax_activities(username, t) | |
| # Tab de Análisis Semántico | |
| with tabs[1]: | |
| display_semantic_activities(username, t) | |
| # Tab de Análisis del Discurso | |
| with tabs[2]: | |
| display_discourse_activities(username, t) | |
| # Tab de Conversaciones del Chat | |
| with tabs[3]: | |
| display_chat_activities(username, t) | |
| except Exception as e: | |
| logger.error(f"Error mostrando actividades: {str(e)}") | |
| st.error(t.get('error_loading_activities', 'Error al cargar las actividades')) | |
| ################################################################################### | |
| def display_morphosyntax_activities(username: str, t: dict): | |
| """Muestra actividades de análisis morfosintáctico""" | |
| try: | |
| analyses = get_student_morphosyntax_analysis(username) | |
| if not analyses: | |
| st.info(t.get('no_morpho_analyses', 'No hay análisis morfosintácticos registrados')) | |
| return | |
| for analysis in analyses: | |
| with st.expander( | |
| f"{t.get('analysis_date', 'Fecha')}: {analysis['timestamp']}", | |
| expanded=False | |
| ): | |
| st.text(f"{t.get('analyzed_text', 'Texto analizado')}:") | |
| st.write(analysis['text']) | |
| if 'arc_diagrams' in analysis: | |
| st.subheader(t.get('syntactic_diagrams', 'Diagramas sintácticos')) | |
| for diagram in analysis['arc_diagrams']: | |
| st.write(diagram, unsafe_allow_html=True) | |
| except Exception as e: | |
| logger.error(f"Error mostrando análisis morfosintáctico: {str(e)}") | |
| st.error(t.get('error_morpho', 'Error al mostrar análisis morfosintáctico')) | |
| ################################################################################### | |
| def display_semantic_activities(username: str, t: dict): | |
| """Muestra actividades de análisis semántico""" | |
| try: | |
| analyses = get_student_semantic_analysis(username) | |
| if not analyses: | |
| st.info(t.get('no_semantic_analyses', 'No hay análisis semánticos registrados')) | |
| return | |
| for analysis in analyses: | |
| with st.expander( | |
| f"{t.get('analysis_date', 'Fecha')}: {analysis['timestamp']}", | |
| expanded=False | |
| ): | |
| # Mostrar conceptos clave | |
| if 'key_concepts' in analysis: | |
| st.subheader(t.get('key_concepts', 'Conceptos clave')) | |
| df = pd.DataFrame( | |
| analysis['key_concepts'], | |
| columns=['Concepto', 'Frecuencia'] | |
| ) | |
| st.dataframe(df) | |
| # Mostrar gráfico de conceptos | |
| if 'concept_graph' in analysis and analysis['concept_graph']: | |
| st.subheader(t.get('concept_graph', 'Grafo de conceptos')) | |
| image_bytes = base64.b64decode(analysis['concept_graph']) | |
| st.image(image_bytes) | |
| except Exception as e: | |
| logger.error(f"Error mostrando análisis semántico: {str(e)}") | |
| st.error(t.get('error_semantic', 'Error al mostrar análisis semántico')) | |
| ################################################################################### | |
| def display_discourse_activities(username: str, t: dict): | |
| """Muestra actividades de análisis del discurso""" | |
| try: | |
| analyses = get_student_discourse_analysis(username) | |
| if not analyses: | |
| st.info(t.get('no_discourse_analyses', 'No hay análisis del discurso registrados')) | |
| return | |
| for analysis in analyses: | |
| with st.expander( | |
| f"{t.get('analysis_date', 'Fecha')}: {analysis['timestamp']}", | |
| expanded=False | |
| ): | |
| # Mostrar conceptos clave | |
| if 'key_concepts1' in analysis and 'key_concepts2' in analysis: | |
| st.subheader(t.get('comparison_results', 'Resultados de la comparación')) | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.markdown(f"**{t.get('concepts_text_1', 'Conceptos Texto 1')}**") | |
| df1 = pd.DataFrame( | |
| analysis['key_concepts1'], | |
| columns=['Concepto', 'Frecuencia'] | |
| ) | |
| st.dataframe(df1) | |
| with col2: | |
| st.markdown(f"**{t.get('concepts_text_2', 'Conceptos Texto 2')}**") | |
| df2 = pd.DataFrame( | |
| analysis['key_concepts2'], | |
| columns=['Concepto', 'Frecuencia'] | |
| ) | |
| st.dataframe(df2) | |
| # Mostrar gráficos | |
| if all(key in analysis for key in ['graph1', 'graph2']): | |
| st.subheader(t.get('visualizations', 'Visualizaciones')) | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.markdown(f"**{t.get('graph_text_1', 'Grafo Texto 1')}**") | |
| if analysis['graph1']: | |
| image_bytes = base64.b64decode(analysis['graph1']) | |
| st.image(image_bytes) | |
| with col2: | |
| st.markdown(f"**{t.get('graph_text_2', 'Grafo Texto 2')}**") | |
| if analysis['graph2']: | |
| image_bytes = base64.b64decode(analysis['graph2']) | |
| st.image(image_bytes) | |
| except Exception as e: | |
| logger.error(f"Error mostrando análisis del discurso: {str(e)}") | |
| st.error(t.get('error_discourse', 'Error al mostrar análisis del discurso')) | |
| ################################################################################# | |
| def display_discourse_comparison(analysis: dict, t: dict): | |
| """Muestra la comparación de análisis del discurso""" | |
| st.subheader(t.get('comparison_results', 'Resultados de la comparación')) | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.markdown(f"**{t.get('concepts_text_1', 'Conceptos Texto 1')}**") | |
| df1 = pd.DataFrame(analysis['key_concepts1']) | |
| st.dataframe(df1) | |
| with col2: | |
| st.markdown(f"**{t.get('concepts_text_2', 'Conceptos Texto 2')}**") | |
| df2 = pd.DataFrame(analysis['key_concepts2']) | |
| st.dataframe(df2) | |
| ################################################################################# | |
| def display_chat_activities(username: str, t: dict): | |
| """ | |
| Muestra historial de conversaciones del chat | |
| """ | |
| try: | |
| # Obtener historial del chat | |
| chat_history = get_chat_history( | |
| username=username, | |
| analysis_type='sidebar', | |
| limit=50 | |
| ) | |
| if not chat_history: | |
| st.info(t.get('no_chat_history', 'No hay conversaciones registradas')) | |
| return | |
| for chat in reversed(chat_history): # Mostrar las más recientes primero | |
| try: | |
| # Convertir timestamp a datetime para formato | |
| timestamp = datetime.fromisoformat(chat['timestamp'].replace('Z', '+00:00')) | |
| formatted_date = timestamp.strftime("%d/%m/%Y %H:%M:%S") | |
| with st.expander( | |
| f"{t.get('chat_date', 'Fecha de conversación')}: {formatted_date}", | |
| expanded=False | |
| ): | |
| if 'messages' in chat and chat['messages']: | |
| # Mostrar cada mensaje en la conversación | |
| for message in chat['messages']: | |
| role = message.get('role', 'unknown') | |
| content = message.get('content', '') | |
| # Usar el componente de chat de Streamlit | |
| with st.chat_message(role): | |
| st.markdown(content) | |
| # Agregar separador entre mensajes | |
| st.divider() | |
| else: | |
| st.warning(t.get('invalid_chat_format', 'Formato de chat no válido')) | |
| except Exception as e: | |
| logger.error(f"Error mostrando conversación: {str(e)}") | |
| continue | |
| except Exception as e: | |
| logger.error(f"Error mostrando historial del chat: {str(e)}") | |
| st.error(t.get('error_chat', 'Error al mostrar historial del chat')) |