40 lines
2.1 KiB
Python
40 lines
2.1 KiB
Python
from __future__ import annotations
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from datetime import date
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from sqlalchemy import Date, Integer, String
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from sqlalchemy.orm import Mapped, mapped_column
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from api.v1.common.base_models import TenantScopedMixin, TimestampMixin
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from core.database import Base
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class ExpedienteArchivo(Base, TenantScopedMixin, TimestampMixin):
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"""Registro de documentos digitalizados en Ventanilla Única."""
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__tablename__ = "expediente_archivo"
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__table_args__ = ({"schema": "a76"},)
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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# Datos del documento (campos del catálogo legacy)
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e_document: Mapped[str | None] = mapped_column(String(50), nullable=True)
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num_operacion: Mapped[str | None] = mapped_column(String(50), nullable=True)
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tipo_documento: Mapped[str | None] = mapped_column(String(10), nullable=True)
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archivo_digitalizado_en: Mapped[str | None] = mapped_column(String(500), nullable=True)
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fecha_digitalizacion: Mapped[date | None] = mapped_column(Date, nullable=True)
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agente_aduanal: Mapped[str | None] = mapped_column(String(50), nullable=True)
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pedimento: Mapped[str | None] = mapped_column(String(21), nullable=True)
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rfc_consulta: Mapped[str | None] = mapped_column(String(13), nullable=True)
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nombre_archivo: Mapped[str | None] = mapped_column(String(255), nullable=True)
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# Estado de la tarea de digitalización
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status: Mapped[str | None] = mapped_column(String(20), nullable=True) # pending/processing/success/failed
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task_id: Mapped[str | None] = mapped_column(String(255), nullable=True, index=True)
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external_task_id: Mapped[str | None] = mapped_column(String(255), nullable=True, index=True)
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acuse_pdf_path: Mapped[str | None] = mapped_column(String(500), nullable=True)
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envio_xml_path: Mapped[str | None] = mapped_column(String(500), nullable=True)
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respuesta_xml_path: Mapped[str | None] = mapped_column(String(500), nullable=True)
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consulta_envio_xml_path: Mapped[str | None] = mapped_column(String(500), nullable=True)
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consulta_respuesta_xml_path: Mapped[str | None] = mapped_column(String(500), nullable=True)
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