57 lines
1.9 KiB
Plaintext
57 lines
1.9 KiB
Plaintext
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from app.core.base_schema import CommonSchema
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"""试验处理 —— 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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class TreatmentBaseSchema(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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trial_study_id: int = Field(..., description="所属研究点")
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factor: str = Field(..., description="因子")
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level: str = Field(..., description="水平")
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description: str = Field(default=None, description="描述")
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remark: str = Field(default=None, description="备注")
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class TreatmentCreateSchema(TreatmentBaseSchema):
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pass
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class TreatmentUpdateSchema(TreatmentBaseSchema):
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trial_study_id: int | None = Field(default=None, description="所属研究点")
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factor: str | None = Field(default=None, description="因子")
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level: str | None = Field(default=None, description="水平")
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description: str | None = Field(default=None, description="描述")
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remark: str | None = Field(default=None, description="备注")
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class TreatmentOutSchema(TreatmentBaseSchema):
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id: int
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uuid: str
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trial_study_name: str | None = None # 由 Service 层联表填充
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factor: str | None = None
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level: str | None = None
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description: str | None = None
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remark: 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 TreatmentQueryParam(BaseModel):
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trial_study_id: int | None = Field(default=None, description="所属研究点")
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factor: str | None = Field(default=None, description="因子")
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level: str | None = Field(default=None, description="水平")
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model_config = ConfigDict(
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extra="ignore",
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json_schema_extra={
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"trial_study_id": ("eq", "{param}"),
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"factor": ("like", "{param}"),
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"level": ("like", "{param}"),
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},
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)
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