v3 / modules /studentact /student_activities_v2-error.py
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Rename modules/studentact/student_activities_v2.py to modules/studentact/student_activities_v2-error.py
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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: C贸digo del idioma
t: Diccionario de traducciones
"""
try:
st.header(t.get('activities_title', 'Mis Actividades'))
# Tabs para diferentes tipos de an谩lisis
tabs = st.tabs([
t.get('morpho_activities', 'An谩lisis Morfosint谩ctico'),
t.get('semantic_activities', 'An谩lisis Sem谩ntico'),
t.get('discourse_activities', 'An谩lisis del Discurso'),
t.get('chat_activities', 'Conversaciones con el Asistente')
])
# Tab de An谩lisis Morfosint谩ctico
with tabs[0]:
display_morphosyntax_activities(username, t)
# Tab de An谩lisis Sem谩ntico
with tabs[1]:
display_semantic_activities(username, t)
# Tab de An谩lisis 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 an谩lisis morfosint谩ctico"""
try:
analyses = get_student_morphosyntax_analysis(username)
if not analyses:
st.info(t.get('no_morpho_analyses', 'No hay an谩lisis morfosint谩cticos 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 sint谩cticos'))
for diagram in analysis['arc_diagrams']:
st.write(diagram, unsafe_allow_html=True)
except Exception as e:
logger.error(f"Error mostrando an谩lisis morfosint谩ctico: {str(e)}")
st.error(t.get('error_morpho', 'Error al mostrar an谩lisis morfosint谩ctico'))
###################################################################################
def display_semantic_activities(username: str, t: dict):
"""Muestra actividades de an谩lisis sem谩ntico"""
try:
analyses = get_student_semantic_analysis(username)
if not analyses:
st.info(t.get('no_semantic_analyses', 'No hay an谩lisis sem谩nticos 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 gr谩fico 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 an谩lisis sem谩ntico: {str(e)}")
st.error(t.get('error_semantic', 'Error al mostrar an谩lisis sem谩ntico'))
###################################################################################
def display_discourse_activities(username: str, t: dict):
"""Muestra actividades de an谩lisis del discurso"""
try:
analyses = get_student_discourse_analysis(username)
if not analyses:
st.info(t.get('no_discourse_analyses', 'No hay an谩lisis 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 comparaci贸n'))
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 gr谩ficos
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 an谩lisis del discurso: {str(e)}")
st.error(t.get('error_discourse', 'Error al mostrar an谩lisis del discurso'))
#################################################################################
def display_discourse_comparison(analysis: dict, t: dict):
"""Muestra la comparaci贸n de an谩lisis del discurso"""
st.subheader(t.get('comparison_results', 'Resultados de la comparaci贸n'))
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 m谩s 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 conversaci贸n')}: {formatted_date}",
expanded=False
):
if 'messages' in chat and chat['messages']:
# Mostrar cada mensaje en la conversaci贸n
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 v谩lido'))
except Exception as e:
logger.error(f"Error mostrando conversaci贸n: {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'))