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import streamlit as st
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import pandas as pd
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import matplotlib.pyplot as plt
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import seaborn as sns
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from datetime import datetime, timedelta
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import pytz
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import logging
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from io import BytesIO
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from reportlab.pdfgen import canvas
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from reportlab.lib.pagesizes import letter
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from docx import Document
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from odf.opendocument import OpenDocumentText
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from odf.text import P
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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from .database.morphosintax_mongo_db import get_student_morphosyntax_analysis, get_student_morphosyntax_data
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from .database.chat_db import get_chat_history
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def display_student_progress(username, lang_code, t):
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logger.debug(f"Iniciando display_student_progress para {username}")
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st.title(f"{t.get('progress_of', 'Progreso de')} {username}")
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morphosyntax_data = get_student_morphosyntax_data(username)
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chat_history = get_chat_history(username, None)
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if not morphosyntax_data and not chat_history:
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logger.warning(f"No se encontraron datos para el estudiante {username}")
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st.warning(t.get("no_data_warning", "No se encontraron datos para este estudiante."))
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st.info(t.get("try_analysis", "Intenta realizar algunos análisis de texto primero."))
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return
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with st.expander(t.get("activities_summary", "Resumen de Actividades"), expanded=True):
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total_morphosyntax = len(morphosyntax_data)
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total_chats = len(chat_history)
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st.write(f"{t.get('total_morphosyntax_analyses', 'Total de análisis morfosintácticos')}: {total_morphosyntax}")
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st.write(f"{t.get('total_chats', 'Total de conversaciones de chat')}: {total_chats}")
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try:
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activity_counts = pd.Series({
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'Análisis Morfosintáctico': total_morphosyntax,
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'Conversaciones de Chat': total_chats
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})
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fig, ax = plt.subplots()
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sns.barplot(x=activity_counts.index, y=activity_counts.values, ax=ax)
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ax.set_title(t.get("activity_types_chart", "Tipos de actividades realizadas"))
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ax.set_ylabel(t.get("count", "Cantidad"))
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st.pyplot(fig)
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except Exception as e:
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logger.error(f"Error al crear el gráfico: {e}")
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st.error("No se pudo crear el gráfico de tipos de actividades.")
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def generate_activity_content_48h():
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content = f"Actividades de {username} en las últimas 48 horas\n\n"
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two_days_ago = datetime.now(pytz.utc) - timedelta(days=2)
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try:
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recent_morphosyntax = [a for a in morphosyntax_data if datetime.fromisoformat(a['timestamp']) > two_days_ago]
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content += f"Análisis morfosintácticos: {len(recent_morphosyntax)}\n"
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for analysis in recent_morphosyntax:
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content += f"- Análisis del {analysis['timestamp']}: {analysis['text'][:50]}...\n"
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recent_chats = [c for c in chat_history if datetime.fromisoformat(c['timestamp']) > two_days_ago]
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content += f"\nConversaciones de chat: {len(recent_chats)}\n"
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for chat in recent_chats:
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content += f"- Chat del {chat['timestamp']}: {len(chat['messages'])} mensajes\n"
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except Exception as e:
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logger.error(f"Error al generar el contenido de actividades: {e}")
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content += "Error al recuperar los datos de actividades.\n"
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return content
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st.subheader(t.get("download_history_48h", "Descargar Histórico de Actividades (Últimas 48 horas)"))
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if st.button("Generar reporte de 48 horas"):
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try:
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report_content = generate_activity_content_48h()
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st.text_area("Reporte de 48 horas", report_content, height=300)
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st.download_button(
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label="Descargar TXT (48h)",
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data=report_content,
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file_name="actividades_48h.txt",
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mime="text/plain"
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)
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except Exception as e:
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logger.error(f"Error al generar el reporte: {e}")
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st.error("No se pudo generar el reporte. Por favor, verifica los logs para más detalles.")
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logger.debug("Finalizando display_student_progress")
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