63 lines
2.5 KiB
Plaintext
63 lines
2.5 KiB
Plaintext
from app.core.base_schema import CommonSchema
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"""授粉管理 —— 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 PollinationBaseSchema(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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combination_id: int = Field(..., description="杂交组合")
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plot_id: int = Field(default=None, description="试验地块")
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pollination_date: str = Field(default=None, description="授粉日期")
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flower_count: int = Field(default=None, description="花朵数")
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effective_count: int = Field(default=None, description="有效坐果数")
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bre_personnel_id: int = Field(default=None, description="授粉人")
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remark: str = Field(default=None, description="备注")
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class PollinationCreateSchema(PollinationBaseSchema):
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pass
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class PollinationUpdateSchema(PollinationBaseSchema):
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combination_id: int | None = Field(default=None, description="杂交组合")
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plot_id: int | None = Field(default=None, description="试验地块")
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pollination_date: str | None = Field(default=None, description="授粉日期")
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flower_count: int | None = Field(default=None, description="花朵数")
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effective_count: int | None = Field(default=None, description="有效坐果数")
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bre_personnel_id: int | None = Field(default=None, description="授粉人")
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remark: str | None = Field(default=None, description="备注")
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class PollinationOutSchema(PollinationBaseSchema):
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id: int
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uuid: str
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combination_name: str | None = None # 由 Service 层联表填充
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plot_name: str | None = None # 由 Service 层联表填充
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pollination_date: str | None = None
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flower_count: int | None = None
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effective_count: int | None = None
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bre_personnel_name: str | None = None # 由 Service 层联表填充
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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 PollinationQueryParam(BaseModel):
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combination_id: int | None = Field(default=None, description="杂交组合")
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plot_id: int | None = Field(default=None, description="试验地块")
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bre_personnel_id: int | None = Field(default=None, description="授粉人")
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model_config = ConfigDict(
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extra="ignore",
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json_schema_extra={
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"combination_id": ("eq", "{param}"),
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"plot_id": ("eq", "{param}"),
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"bre_personnel_id": ("eq", "{param}"),
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},
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)
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