- Added models, DTOs, services, and routes for ports, including CRUD operations. - Introduced unit conversions with corresponding models, DTOs, services, and routes. - Developed units of measure with detailed models, DTOs, services, and routes for various types. - Ensured all new features are integrated with FastAPI and SQLAlchemy for seamless database interactions.
62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
from datetime import date as Date2
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from datetime import time as Time2
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from typing import TYPE_CHECKING
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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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from sqlalchemy import (
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Date,
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ForeignKeyConstraint,
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Index,
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Integer,
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PrimaryKeyConstraint,
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SmallInteger,
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String,
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Time,
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UniqueConstraint,
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)
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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if TYPE_CHECKING:
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from api.v1.modules.a76.pedmientos.models.pedimentos import Pedimentos
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class PedimentoPayments(Base, TenantScopedMixin, TimestampMixin):
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__tablename__ = "pedimento_payments"
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__table_args__ = (
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PrimaryKeyConstraint("id", name="pedimento_payments_pkey"),
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ForeignKeyConstraint(
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["pedimento_id"],
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["a76.pedimentos.id"],
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ondelete="CASCADE",
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name="fk_pedimento_payments",
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),
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UniqueConstraint(
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"tenant_id",
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"company_id",
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"pedimento_id",
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name="pedimento_payments_pedimento_id_key",
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),
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Index("idx_pedimento_payments_pedimento_id", "pedimento_id"),
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{"schema": "a76"},
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)
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id: Mapped[int] = mapped_column(Integer)
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pedimento_id: Mapped[int] = mapped_column(Integer, nullable=False)
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acknowledgment: Mapped[str] = mapped_column(String(20))
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operation_number: Mapped[str] = mapped_column(String(14))
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bank_code: Mapped[int] = mapped_column(Integer)
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cashier: Mapped[str] = mapped_column(String(2))
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date: Mapped[Date2] = mapped_column(Date)
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time: Mapped[Time2] = mapped_column(Time)
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shift: Mapped[str] = mapped_column(String(1))
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total_cash_paid: Mapped[int] = mapped_column(Integer)
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total_contributions: Mapped[int] = mapped_column(Integer)
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counter_payment: Mapped[int] = mapped_column(SmallInteger)
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pece_code: Mapped[str] = mapped_column(String(5))
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pedimento: Mapped["Pedimentos"] = relationship(
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"Pedimentos", back_populates="pedimento_payments"
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)
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