53 lines
2.4 KiB
Python
53 lines
2.4 KiB
Python
"""农事操作 数据模型"""
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from datetime import date
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from sqlalchemy import Date, 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 FieldOperationModel(ModelMixin, UserMixin, MappedBase):
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"""农事操作（§3.3；施肥/喷药/修剪/灌溉/疏果/套袋/采收）。
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tree_id/plot_id 可空二选一：既可针对单株记录，也可针对整块小区记录。
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"""
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__tablename__ = "bre_field_operation"
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tree_id: Mapped[int | None] = mapped_column(
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Integer, ForeignKey("bre_tree.id", ondelete="CASCADE"), index=True, nullable=True, comment="单株(可空)", default=None
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)
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plot_id: Mapped[int | None] = mapped_column(
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Integer, ForeignKey("bre_plot.id", ondelete="CASCADE"), index=True, nullable=True, comment="小区(可空)", default=None
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)
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op_type: Mapped[str] = mapped_column(
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String(32), nullable=False, comment="操作类型(field_operation字典: fertilize/spray/prune/irrigate/thinning/bagging/harvest)"
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)
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op_date: Mapped[date | None] = mapped_column(Date, nullable=True, comment="操作日期", default=None)
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op_detail: Mapped[str | None] = mapped_column(Text, nullable=True, comment="操作详情/用量", default=None)
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yield_kg: Mapped[float | None] = mapped_column(Float, nullable=True, comment="单株产量(kg，op_type=harvest)", default=None)
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fruit_count: Mapped[int | None] = mapped_column(Integer, nullable=True, comment="果实个数(op_type=harvest)", default=None)
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avg_fruit_weight: Mapped[float | None] = mapped_column(Float, nullable=True, comment="平均单果重(g，op_type=harvest)", default=None)
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marketable_rate: Mapped[float | None] = mapped_column(Float, nullable=True, comment="好果率(%，op_type=harvest)", default=None)
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operator_id: Mapped[int | None] = mapped_column(
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Integer, ForeignKey("bre_personnel.id", ondelete="CASCADE"), index=True, nullable=True, comment="操作人(育种人员)", default=None
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)
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remark: Mapped[str | None] = mapped_column(String(512), nullable=True, comment="备注", default=None)
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status: Mapped[int] = mapped_column(Integer, nullable=False, default=1, comment="状态(1正常/0停用)")
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__table_args__ = (
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Index("ix_bre_field_operation_created_deleted", "created_time", "is_deleted"),
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)
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