79 lines
3.2 KiB
Plaintext
79 lines
3.2 KiB
Plaintext
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from app.core.base_schema import CommonSchema
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"""性状字典 —— 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 TraitBaseSchema(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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trait_code: str = Field(..., description="性状编码")
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trait_name: str = Field(..., description="性状名称")
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category: str = Field(default=None, description="性状类别")
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data_type: str = Field(default=None, description="数据类型")
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unit: str = Field(default=None, description="单位")
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is_core: str = Field(default=None, description="是否核心性状")
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scale_json: str = Field(default=None, description="量规/分级JSON")
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valid_min: float = Field(default=None, description="有效最小值")
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valid_max: float = Field(default=None, description="有效最大值")
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ontology_uri: str = Field(default=None, description="本体IRI")
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remark: str = Field(default=None, description="备注")
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class TraitCreateSchema(TraitBaseSchema):
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pass
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class TraitUpdateSchema(TraitBaseSchema):
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trait_code: str | None = Field(default=None, description="性状编码")
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trait_name: str | None = Field(default=None, description="性状名称")
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category: str | None = Field(default=None, description="性状类别")
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data_type: str | None = Field(default=None, description="数据类型")
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unit: str | None = Field(default=None, description="单位")
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is_core: str | None = Field(default=None, description="是否核心性状")
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scale_json: str | None = Field(default=None, description="量规/分级JSON")
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valid_min: float | None = Field(default=None, description="有效最小值")
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valid_max: float | None = Field(default=None, description="有效最大值")
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ontology_uri: str | None = Field(default=None, description="本体IRI")
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remark: str | None = Field(default=None, description="备注")
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class TraitOutSchema(TraitBaseSchema):
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id: int
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uuid: str
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trait_code: str | None = None
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trait_name: str | None = None
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category: str | None = None
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data_type: str | None = None
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unit: str | None = None
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is_core: str | None = None
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scale_json: str | None = None
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valid_min: float | None = None
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valid_max: float | None = None
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ontology_uri: 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 TraitQueryParam(BaseModel):
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trait_code: str | None = Field(default=None, description="性状编码")
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trait_name: str | None = Field(default=None, description="性状名称")
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category: str | None = Field(default=None, description="性状类别")
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data_type: str | None = Field(default=None, description="数据类型")
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is_core: str | None = Field(default=None, description="是否核心性状")
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model_config = ConfigDict(
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extra="ignore",
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json_schema_extra={
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"trait_code": ("like", "{param}"),
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"trait_name": ("like", "{param}"),
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"category": ("eq", "{param}"),
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"data_type": ("eq", "{param}"),
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"is_core": ("eq", "{param}"),
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},
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)
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