egutierrez
aef8791151
- Added Appshell component with responsive navbar and main content area - Integrated ColorSchemeToggle for light/dark mode switching - Created Welcome component with styled title and introductory text - Developed ChatPage for LLM interaction with WebSocket support - Implemented Biblioteca for managing notes with rich text editor - Added LoginPage for user authentication with error handling - Introduced MessageList and MessageBubble components for chat messages - Styled components with CSS modules for consistent design
63 lines
2.4 KiB
Python
63 lines
2.4 KiB
Python
from loguru import logger
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from sqlalchemy import Column, Integer, String, Text, TIMESTAMP
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from sqlalchemy.orm import sessionmaker
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from sqlalchemy.exc import SQLAlchemyError
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from domains.ArquitectureLayer.Model import Model_base
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from domains.ConexionSql.Postgres_conexion import PostgresConexion
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from domains.Credenciales.postgres_credencial import PostgresCredencial
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class LoggerDB:
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_sink_removido = False # ← evita múltiples remove() si se crean varias instancias
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def __init__(self, credencial: PostgresCredencial, nombre_tabla: str, created_by: str = None):
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# 🔥 Elimina todos los sinks activos, incluso los automáticos
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logger.remove()
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self.conexion = PostgresConexion(credencial)
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self.engine = self.conexion.get_engine()
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self.Session = sessionmaker(bind=self.engine)
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self.nombre_tabla = nombre_tabla
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self.created_by = created_by
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self.modelo_logger = self._generar_modelo_logger()
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self._crear_tabla_si_no_existe()
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logger.add(self._sink, level="DEBUG")
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def _generar_modelo_logger(self):
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class LoggerTable(Model_base):
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__tablename__ = self.nombre_tabla
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__table_args__ = {'extend_existing': True} # 👈 Esta línea evita el error
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id = Column(Integer, primary_key=True)
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nivel = Column(String, nullable=False)
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mensaje = Column(Text, nullable=False)
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fecha = Column(TIMESTAMP(timezone=True), nullable=False)
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modulo = Column(String, nullable=True)
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funcion = Column(String, nullable=True)
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linea = Column(Integer, nullable=True)
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return LoggerTable
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def _crear_tabla_si_no_existe(self):
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self.modelo_logger.__table__.create(self.engine, checkfirst=True)
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def _sink(self, message):
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record = message.record
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try:
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session = self.Session()
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log_entry = self.modelo_logger(
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nivel=record["level"].name,
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mensaje=record["message"],
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fecha=record["time"],
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modulo=record["module"],
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funcion=record["function"],
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linea=record["line"],
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sys_created_by=self.created_by
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)
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session.add(log_entry)
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session.commit()
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session.close()
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except SQLAlchemyError as e:
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print(f"[LoggerDB] Error guardando log en BD: {e}")
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