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# modules/chatbot/sidebar_chat.py | |
import streamlit as st | |
from .chat_process import ChatProcessor | |
from ..database.chat_mongo_db import store_chat_history | |
import logging | |
logger = logging.getLogger(__name__) | |
def display_sidebar_chat(lang_code: str, chatbot_t: dict): | |
"""Chatbot mejorado con manejo completo del contexto semántico""" | |
with st.sidebar: | |
# Configuración de estilos | |
st.markdown(""" | |
<style> | |
.chat-container { | |
max-height: 60vh; | |
overflow-y: auto; | |
padding: 10px; | |
} | |
.chat-message { margin-bottom: 15px; } | |
</style> | |
""", unsafe_allow_html=True) | |
try: | |
# Inicialización del procesador | |
if 'chat_processor' not in st.session_state: | |
st.session_state.chat_processor = ChatProcessor() | |
logger.info("Nuevo ChatProcessor inicializado") | |
# Configurar contexto semántico si está activo | |
if st.session_state.get('semantic_agent_active', False): | |
semantic_data = st.session_state.get('semantic_agent_data') | |
if semantic_data and all(k in semantic_data for k in ['text', 'metrics']): | |
try: | |
st.session_state.chat_processor.set_semantic_context( | |
text=semantic_data['text'], | |
metrics=semantic_data['metrics'], | |
graph_data=semantic_data.get('graph_data'), | |
lang_code=lang_code | |
) | |
logger.info("Contexto semántico configurado en el chat") | |
except Exception as e: | |
logger.error(f"Error configurando contexto: {str(e)}") | |
st.error("Error al configurar el análisis. Recargue el documento.") | |
return | |
# Interfaz del chat | |
with st.expander("💬 Asistente de Análisis", expanded=True): | |
# Inicializar historial si no existe | |
if 'sidebar_messages' not in st.session_state: | |
initial_msg = { | |
'en': "Hello! Ask me about the semantic analysis.", | |
'es': "¡Hola! Pregúntame sobre el análisis semántico.", | |
'pt': "Olá! Pergunte-me sobre a análise semântica." | |
}.get(lang_code, "Hello!") | |
st.session_state.sidebar_messages = [ | |
{"role": "assistant", "content": initial_msg} | |
] | |
# Mostrar historial | |
chat_container = st.container() | |
with chat_container: | |
for msg in st.session_state.sidebar_messages: | |
st.chat_message(msg["role"]).write(msg["content"]) | |
# Manejo de mensajes nuevos | |
user_input = st.chat_input( | |
{ | |
'en': "Ask about the analysis...", | |
'es': "Pregunta sobre el análisis...", | |
'pt': "Pergunte sobre a análise..." | |
}.get(lang_code, "Message...") | |
) | |
if user_input: | |
try: | |
# Mostrar mensaje del usuario | |
with chat_container: | |
st.chat_message("user").write(user_input) | |
st.session_state.sidebar_messages.append( | |
{"role": "user", "content": user_input} | |
) | |
# Obtener y mostrar respuesta | |
with st.chat_message("assistant"): | |
response = st.write_stream( | |
st.session_state.chat_processor.process_chat_input( | |
user_input, lang_code | |
) | |
) | |
st.session_state.sidebar_messages.append( | |
{"role": "assistant", "content": response.replace("▌", "")} | |
) | |
# Guardar en base de datos | |
if 'username' in st.session_state: | |
store_chat_history( | |
username=st.session_state.username, | |
messages=st.session_state.sidebar_messages, | |
chat_type='semantic_analysis', | |
metadata={ | |
'text_sample': st.session_state.semantic_agent_data['text'][:500], | |
'concepts': st.session_state.semantic_agent_data['metrics']['key_concepts'][:5] | |
} | |
) | |
except Exception as e: | |
logger.error(f"Error en conversación: {str(e)}", exc_info=True) | |
st.error({ | |
'en': "Error processing request. Try again.", | |
'es': "Error al procesar. Intente nuevamente.", | |
'pt': "Erro ao processar. Tente novamente." | |
}.get(lang_code, "Error")) | |
# Botón para reiniciar | |
if st.button("🔄 Reiniciar Chat"): | |
st.session_state.sidebar_messages = [] | |
st.rerun() | |
except Exception as e: | |
logger.error(f"Error fatal en sidebar_chat: {str(e)}", exc_info=True) | |
st.error("System error. Please refresh the page.") |