61 lines
2.4 KiB
Python
61 lines
2.4 KiB
Python
"""性状观测 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 TraitObservationModel(ModelMixin, UserMixin, MappedBase):
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"""性状观测 主数据表。"""
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__tablename__ = "bre_trait_observation"
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evaluation_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("bre_tree_evaluation.id", ondelete="CASCADE"),
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index=True, nullable=True, comment="所属鉴定"
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)
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tree_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("bre_tree.id", ondelete="CASCADE"),
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index=True, nullable=True, comment="单株"
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)
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combination_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("bre_cross_combination.id", ondelete="CASCADE"),
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index=True, nullable=True, comment="杂交组合"
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)
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trait_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("bre_trait.id", ondelete="CASCADE"),
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index=True, nullable=False, comment="性状"
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)
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evaluate_year: Mapped[int | None] = mapped_column(Integer, nullable=True, comment="观测年份", default=None)
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value_numeric: Mapped[float | None] = mapped_column(Float, nullable=True, comment="数值", default=None)
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value_text: Mapped[str | None] = mapped_column(String(255), nullable=True, comment="文本值", default=None)
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value_date: Mapped[str | None] = mapped_column(String(20), nullable=True, comment="日期值", default=None)
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remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="备注", default=None)
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trial_study_id: Mapped[int | None] = mapped_column(
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Integer, ForeignKey("bre_trial_study.id", ondelete="SET NULL"),
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index=True, nullable=True, comment="所属试验/站点(MET)"
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)
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crop_load: Mapped[float | None] = mapped_column(Float, nullable=True, comment="负载量(协变量)")
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stage: Mapped[str | None] = mapped_column(
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String(16), nullable=True, comment="观测发育阶段(juvenile幼龄/evaluation成株，缺省继承bre_trait.stage)"
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)
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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_observation_created_deleted", "created_time", "is_deleted"),
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)
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