58 lines
2.6 KiB
Python
58 lines
2.6 KiB
Python
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"""性状字典 数据模型"""
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from datetime import datetime
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from sqlalchemy import Float, ForeignKey, Index, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.base_model import MappedBase, ModelMixin, UserMixin
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class TraitModel(ModelMixin, UserMixin, MappedBase):
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"""性状字典 主数据表。"""
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__tablename__ = "bre_trait"
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trait_code: Mapped[str] = mapped_column(
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String(64), nullable=False, unique=True, comment="性状编码"
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)
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trait_name: Mapped[str] = mapped_column(String(128), nullable=False, comment="性状名称")
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category: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="性状类别", default=None)
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data_type: Mapped[str] = mapped_column(String(16), nullable=False, default="numeric", comment="数据类型")
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unit: Mapped[str | None] = mapped_column(String(16), nullable=True, comment="单位", default=None)
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is_core: Mapped[str] = mapped_column(String(1), nullable=False, default="1", comment="是否核心性状")
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scale_json: Mapped[str | None] = mapped_column(Text, nullable=True, comment="量规/分级JSON", default=None)
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valid_min: Mapped[float | None] = mapped_column(Float, nullable=True, comment="有效最小值", default=None)
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valid_max: Mapped[float | None] = mapped_column(Float, nullable=True, comment="有效最大值", default=None)
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ontology_uri: Mapped[str | None] = mapped_column(String(255), nullable=True, comment="本体IRI", default=None)
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stage: Mapped[str] = mapped_column(String(16), nullable=False, default="evaluation", comment="测定阶段(juvenile幼龄/evaluation成株)")
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method: Mapped[str | None] = mapped_column(String(256), nullable=True, comment="测定方法", default=None)
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method_uri: Mapped[str | None] = mapped_column(String(256), nullable=True, comment="测定方法URI", default=None)
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direction: Mapped[str] = mapped_column(
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String(16), nullable=False, default="desc", comment="性状方向(desc越大越好/asc越小越好)"
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)
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into_ebv: Mapped[str] = mapped_column(
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String(1), nullable=False, default="1", comment="是否选种目标(1是/0否)"
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)
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default_h2: Mapped[float | None] = mapped_column(
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Float, nullable=True, default=None, comment="先验遗传力h²(实测缺失时兜底)"
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)
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remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="备注", default=None)
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# 无 status 列：覆盖基类默认 ix_<表>_status_deleted 索引，
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# 仅保留 (created_time, is_deleted) 复合索引用于数据权限过滤。
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__table_args__ = (
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Index("ix_bre_trait_created_deleted", "created_time", "is_deleted"),
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)
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