49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
|
from app.core.base_schema import CommonSchema
|
||
|
|
"""试验处理 —— Pydantic 校验/序列化模型。"""
|
||
|
|
from datetime import datetime
|
||
|
|
|
||
|
|
from pydantic import BaseModel, ConfigDict, Field
|
||
|
|
|
||
|
|
|
||
|
|
class TreatmentBaseSchema(BaseModel):
|
||
|
|
model_config = ConfigDict(from_attributes=True)
|
||
|
|
|
||
|
|
trial_study_id: int = Field(..., description="所属研究点")
|
||
|
|
factor: str = Field(..., description="因子")
|
||
|
|
level: str = Field(..., description="水平")
|
||
|
|
description: str | None = Field(default=None, description="描述")
|
||
|
|
remark: str | None = Field(default=None, description="备注")
|
||
|
|
|
||
|
|
|
||
|
|
class TreatmentCreateSchema(TreatmentBaseSchema):
|
||
|
|
pass
|
||
|
|
|
||
|
|
|
||
|
|
class TreatmentUpdateSchema(TreatmentBaseSchema):
|
||
|
|
trial_study_id: int | None = Field(default=None, description="所属研究点")
|
||
|
|
factor: str | None = Field(default=None, description="因子")
|
||
|
|
level: str | None = Field(default=None, description="水平")
|
||
|
|
description: str | None = Field(default=None, description="描述")
|
||
|
|
remark: str | None = Field(default=None, description="备注")
|
||
|
|
|
||
|
|
|
||
|
|
class TreatmentOutSchema(TreatmentBaseSchema):
|
||
|
|
id: int
|
||
|
|
uuid: str
|
||
|
|
trial_study_name: str | None = None # 由 Service 层联表填充
|
||
|
|
factor: str | None = None
|
||
|
|
level: str | None = None
|
||
|
|
description: str | None = None
|
||
|
|
remark: str | None = None
|
||
|
|
created_time: datetime | None = None
|
||
|
|
updated_time: datetime | None = None
|
||
|
|
created_by: CommonSchema | None = None
|
||
|
|
updated_by: CommonSchema | None = None
|
||
|
|
|
||
|
|
|
||
|
|
class TreatmentQueryParam(BaseModel):
|
||
|
|
trial_study_id: int | None = Field(default=None, description="所属研究点", json_schema_extra={"q": "eq"})
|
||
|
|
factor: str | None = Field(default=None, description="因子", json_schema_extra={"q": "like"})
|
||
|
|
level: str | None = Field(default=None, description="水平", json_schema_extra={"q": "like"})
|
||
|
|
|