46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
"""分析数据集 —— Pydantic 校验/序列化模型。"""
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from datetime import datetime
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from pydantic import BaseModel, ConfigDict, Field
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from app.core.base_schema import CommonSchema
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class AnalysisDatasetBaseSchema(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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name: str = Field(..., description="数据集名称")
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description: str | None = Field(default=None, description="数据集描述")
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trait_codes: list[str] | None = Field(default=None, description="性状编码列表")
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sample_ids: list[int] | None = Field(default=None, description="样本ID列表")
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config: dict | None = Field(default=None, description="分析配置")
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status: str | None = Field(default=None, description="状态(draft/ready)")
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class AnalysisDatasetCreateSchema(AnalysisDatasetBaseSchema):
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pass
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class AnalysisDatasetUpdateSchema(AnalysisDatasetBaseSchema):
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name: str | None = Field(default=None, description="数据集名称")
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class AnalysisDatasetOutSchema(AnalysisDatasetBaseSchema):
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id: int
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uuid: str
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name: str | None = None
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description: str | None = None
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trait_codes: list[str] | None = None
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sample_ids: list[int] | None = None
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config: dict | None = None
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status: str | None = None
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created_time: datetime | None = None
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updated_time: datetime | None = None
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created_by: CommonSchema | None = None
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updated_by: CommonSchema | None = None
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class AnalysisDatasetQueryParam(BaseModel):
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name: str | None = Field(default=None, description="数据集名称", json_schema_extra={"q": "like"})
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status: str | None = Field(default=None, description="状态(draft/ready)", json_schema_extra={"q": "eq"})
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