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import logging |
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import streamlit as st |
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import sys |
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import os |
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from dotenv import load_dotenv |
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from datetime import datetime |
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def setup_logging(): |
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log_dir = 'logs' |
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if not os.path.exists(log_dir): |
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os.makedirs(log_dir) |
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current_time = datetime.now().strftime("%Y%m%d_%H%M%S") |
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log_filename = f'{log_dir}/app_log_{current_time}.txt' |
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logging.basicConfig( |
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level=logging.DEBUG, |
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', |
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filename=log_filename, |
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filemode='w' |
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) |
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console = logging.StreamHandler() |
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console.setLevel(logging.INFO) |
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formatter = logging.Formatter('%(name)-12s: %(levelname)-8s %(message)s') |
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console.setFormatter(formatter) |
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logging.getLogger('').addHandler(console) |
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logging.info(f"Logging iniciado. Archivo de log: {log_filename}") |
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current_dir = os.path.dirname(os.path.abspath(__file__)) |
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sys.path.append(current_dir) |
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setup_logging() |
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load_dotenv() |
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from translations import get_translations |
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from modules.ui.ui import main as ui_main |
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from modules.utils.spacy_utils import load_spacy_models |
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from modules.morphosyntax.morphosyntax_interface import ( |
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display_morphosyntax_interface |
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) |
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from modules.database.database_init import ( |
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initialize_database_connections |
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) |
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from modules.database.sql_db import ( |
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create_student_user, |
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get_student_user, |
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update_student_user, |
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delete_student_user, |
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store_application_request, |
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store_student_feedback |
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) |
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from modules.database.mongo_db import ( |
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get_collection, |
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insert_document, |
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find_documents, |
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update_document, |
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delete_document |
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) |
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from modules.database.morphosintax_mongo_db import ( |
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store_student_morphosyntax_result, |
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get_student_morphosyntax_analysis |
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) |
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from modules.database.chat_db import ( |
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store_chat_history, |
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get_chat_history |
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) |
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from modules.studentact.student_activities_v2 import ( |
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display_student_progress |
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) |
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from modules.auth.auth import ( |
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authenticate_student, |
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register_student, |
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update_student_info, |
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delete_student |
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) |
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from modules.admin.admin_ui import admin_page |
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from modules.chatbot.chatbot import ( |
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initialize_chatbot, |
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process_chat_input |
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) |
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print("Configurando p谩gina") |
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st.cache_data.clear() |
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st.cache_resource.clear() |
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logging.basicConfig(level=logging.INFO) |
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logger = logging.getLogger(__name__) |
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@st.cache_resource |
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def initialize_nlp_models(): |
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logger.info("Cargando modelos de spaCy") |
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models = load_spacy_models() |
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logger.info("Modelos de spaCy cargados exitosamente") |
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return models |
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def app_main(): |
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try: |
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logger.info("Entrando en app_main()") |
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initialize_session_state() |
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if 'db_initialized' not in st.session_state: |
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st.session_state.db_initialized = initialize_database_connections() |
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if 'nlp_models' not in st.session_state: |
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logger.info("Inicializando modelos NLP en la sesi贸n") |
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st.session_state.nlp_models = initialize_nlp_models() |
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logger.info("Modelos NLP inicializados y almacenados en la sesi贸n") |
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if 'page' not in st.session_state: |
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st.session_state.page = 'login' |
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logger.info(f"P谩gina actual: {st.session_state.page}") |
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logger.info(f"Rol del usuario: {st.session_state.role}") |
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logger.info(f"Llamando a ui_main() desde app_main()") |
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ui_main() |
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except Exception as e: |
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logger.error(f"Error en app_main: {str(e)}", exc_info=True) |
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st.error("Se ha producido un error en la aplicaci贸n. Por favor, int茅ntelo de nuevo m谩s tarde.") |
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if st.button("Reiniciar aplicaci贸n"): |
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st.rerun() |
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if __name__ == "__main__": |
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print("Llamando a app_main()") |
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app_main() |