55 lines
1.8 KiB
Plaintext
55 lines
1.8 KiB
Plaintext
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from app.core.base_schema import CommonSchema
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"""育种目标 —— 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 TargetBaseSchema(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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target_name: str = Field(..., description="目标名称")
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series: str = Field(default=None, description="系列/品系")
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description: str = Field(default=None, description="目标描述")
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is_preset: str = Field(default=None, description="是否预设")
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remark: str = Field(default=None, description="备注")
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class TargetCreateSchema(TargetBaseSchema):
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pass
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class TargetUpdateSchema(TargetBaseSchema):
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target_name: str | None = Field(default=None, description="目标名称")
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series: str | None = Field(default=None, description="系列/品系")
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description: str | None = Field(default=None, description="目标描述")
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is_preset: str | None = Field(default=None, description="是否预设")
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remark: str | None = Field(default=None, description="备注")
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class TargetOutSchema(TargetBaseSchema):
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id: int
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uuid: str
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target_name: str | None = None
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series: str | None = None
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description: str | None = None
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is_preset: 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 TargetQueryParam(BaseModel):
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target_name: str | None = Field(default=None, description="目标名称")
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series: str | None = Field(default=None, description="系列/品系")
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model_config = ConfigDict(
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extra="ignore",
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json_schema_extra={
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"target_name": ("like", "{param}"),
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"series": ("like", "{param}"),
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},
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)
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