32 lines
1.3 KiB
Python
32 lines
1.3 KiB
Python
"""分析数据集 数据模型"""
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from sqlalchemy import JSON, Index, String
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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 AnalysisDatasetModel(ModelMixin, UserMixin, MappedBase):
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"""分析数据集（性状编码 + 样本ID + 分析配置 的具名集合）。
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纯元数据表、无外键联表；trait_codes/sample_ids 以 JSON 数组存储，
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供统计/GS 模块按需取数（如 GBLUP/ssGBLUP 指定样本子集）。
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"""
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__tablename__ = "bre_analysis_dataset"
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name: Mapped[str] = mapped_column(String(128), nullable=False, comment="数据集名称")
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description: Mapped[str | None] = mapped_column(String(512), nullable=True, comment="数据集描述")
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trait_codes: Mapped[dict | list | None] = mapped_column(JSON, nullable=True, comment="性状编码列表")
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sample_ids: Mapped[dict | list | None] = mapped_column(JSON, nullable=True, comment="样本ID列表(树/种质id)")
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config: Mapped[dict | None] = mapped_column(JSON, nullable=True, comment="分析配置")
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status: Mapped[str | None] = mapped_column(String(16), nullable=True, default="draft", comment="状态(draft/ready)")
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__table_args__ = (
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Index("ix_bre_analysis_dataset_created_deleted", "created_time", "is_deleted"),
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)
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