Add reference data models and seed data for incoterms, invoice types, material types, payment methods, pedimento codes, pedimento regimens, sectors, states, transport modes, transport types, and valuation methods
- Implemented SQLAlchemy models for incoterms, invoice types, material types, payment methods, pedimento codes, pedimento regimens, sectors, states, transport modes, transport types, and valuation methods. - Added seed data for each reference data model to populate the database with initial values. - Ensured primary key constraints and appropriate data types for each model. - Established relationships where necessary, particularly in pedimento codes and regimens.
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from sqlalchemy import String, PrimaryKeyConstraint, Index
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from sqlalchemy.orm import mapped_column, Mapped
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from core.database import Base
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class Country(Base):
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__tablename__ = "countries" #GPaises
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__table_args__ = (
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PrimaryKeyConstraint("m3_key", name="countries_pkey"),
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Index("ak_country_ame", "ame_key", unique=True),
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{"schema": "public"} # opcional
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)
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m3_key: Mapped[str] = mapped_column(String(3), nullable=False) # clave M3
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mex_key: Mapped[str] = mapped_column(String(2), nullable=False) # clave país México
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ame_key: Mapped[str] = mapped_column(String(2), nullable=False) # clave país América / regional
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description_es: Mapped[str] = mapped_column(String(50), nullable=False) # nombre oficial en español
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description_en: Mapped[str] = mapped_column(String(50), nullable=False) # nombre en inglés para UI
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def __repr__(self):
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return f"<Country(m3_key={self.m3_key}, mex_key={self.mex_key}, ame_key={self.ame_key}, description_es={self.description_es}, description_en={self.description_en})>"
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