init: 初始化 dpb 桃育种系统代码库
前后端 + 后端 FastAPI 全量源码、部署脚本与文档。
This commit is contained in:
34047007@qq.com
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import urllib.parse
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from typing import Annotated
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from fastapi import APIRouter, Body, Depends, File, Path, Query, UploadFile
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from fastapi.responses import JSONResponse, StreamingResponse
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.common.response import ResponseSchema, StreamResponse, SuccessResponse
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from app.core.base_schema import AuthSchema, PageResultSchema, PaginationQueryParam, ImportResultSchema
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from app.core.dependencies import AuthPermission, db_getter
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from app.core.router_class import OperationLogRoute
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from app.utils.common_util import bytes2file_response
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from .schema import (
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TraitObservationCreateSchema,
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TraitObservationOutSchema,
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TraitObservationQueryParam,
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TraitObservationUpdateSchema,
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)
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from .service import TraitObservationService
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TraitObservationRouter = APIRouter(route_class=OperationLogRoute, prefix="/trait_observation", tags=["性状观测"])
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@TraitObservationRouter.get("/detail/{id}", summary="获取性状观测详情", response_model=ResponseSchema[TraitObservationOutSchema])
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async def get_trait_observation__detail_controller(
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auth: Annotated[AuthSchema, Depends(AuthPermission(["module_bre:trait_observation:detail"]))],
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id: Annotated[int, Path(description="性状观测ID")],
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db: Annotated[AsyncSession, Depends(db_getter)],
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) -> JSONResponse:
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service = TraitObservationService(auth, db)
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result_dict = await service.detail(id=id)
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return SuccessResponse(data=result_dict, msg="获取性状观测详情成功")
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@TraitObservationRouter.get("/list", summary="分页查询性状观测", response_model=ResponseSchema[PageResultSchema[TraitObservationOutSchema]])
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async def get_trait_observation__list_controller(
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auth: Annotated[AuthSchema, Depends(AuthPermission(["module_bre:trait_observation:query"]))],
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page: Annotated[PaginationQueryParam, Depends()],
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search: Annotated[TraitObservationQueryParam, Query()],
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db: Annotated[AsyncSession, Depends(db_getter)],
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) -> JSONResponse:
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service = TraitObservationService(auth, db)
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result_dict = await service.page(
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page_no=page.page_no,
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page_size=page.page_size,
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search=search,
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order_by=page.order_by,
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)
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return SuccessResponse(data=result_dict, msg="查询性状观测列表成功")
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@TraitObservationRouter.get("/options", summary="性状观测下拉选项")
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async def get_trait_observation__options_controller(
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auth: Annotated[AuthSchema, Depends(AuthPermission(["module_bre:trait_observation:query"]))],
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db: Annotated[AsyncSession, Depends(db_getter)],
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) -> JSONResponse:
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service = TraitObservationService(auth, db)
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options = await service.list_options()
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return SuccessResponse(data=options, msg="获取性状观测选项成功")
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@TraitObservationRouter.post("/create", summary="创建性状观测", response_model=ResponseSchema[TraitObservationOutSchema])
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async def create_trait_observation__controller(
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auth: Annotated[AuthSchema, Depends(AuthPermission(["module_bre:trait_observation:create"]))],
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data: Annotated[TraitObservationCreateSchema, Body(description="创建参数")],
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db: Annotated[AsyncSession, Depends(db_getter)],
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) -> JSONResponse:
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service = TraitObservationService(auth, db)
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result_dict = await service.create(data=data)
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return SuccessResponse(data=result_dict, msg="创建性状观测成功")
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@TraitObservationRouter.put("/update/{id}", summary="修改性状观测", response_model=ResponseSchema[TraitObservationOutSchema])
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async def update_trait_observation__controller(
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auth: Annotated[AuthSchema, Depends(AuthPermission(["module_bre:trait_observation:update"]))],
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id: Annotated[int, Path(description="性状观测ID")],
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data: Annotated[TraitObservationUpdateSchema, Body(description="修改参数")],
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db: Annotated[AsyncSession, Depends(db_getter)],
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) -> JSONResponse:
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service = TraitObservationService(auth, db)
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result_dict = await service.update(id=id, data=data)
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return SuccessResponse(data=result_dict, msg="修改性状观测成功")
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@TraitObservationRouter.delete("/delete", summary="删除性状观测", response_model=ResponseSchema[None])
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async def delete_trait_observation__controller(
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auth: Annotated[AuthSchema, Depends(AuthPermission(["module_bre:trait_observation:delete"]))],
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ids: Annotated[list[int], Body(description="ID列表")],
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db: Annotated[AsyncSession, Depends(db_getter)],
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) -> JSONResponse:
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service = TraitObservationService(auth, db)
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await service.delete(ids=ids)
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return SuccessResponse(msg="删除性状观测成功")
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@TraitObservationRouter.post("/export", summary="导出性状观测")
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async def export_trait_observation__controller(
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auth: Annotated[AuthSchema, Depends(AuthPermission(["module_bre:trait_observation:export"]))],
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search: Annotated[TraitObservationQueryParam, Query()],
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db: Annotated[AsyncSession, Depends(db_getter)],
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) -> StreamingResponse:
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service = TraitObservationService(auth, db)
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result_dict_list = await service.get_list(search=search)
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export_result = TraitObservationService.batch_export(obj_list=[item.model_dump() for item in result_dict_list])
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return StreamResponse(
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data=bytes2file_response(export_result),
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media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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headers={"Content-Disposition": f"attachment; filename={urllib.parse.quote('性状观测管理.xlsx')}"},
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)
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@TraitObservationRouter.post("/import", summary="导入性状观测", response_model=ResponseSchema[ImportResultSchema])
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async def import_trait_observation__controller(
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file: Annotated[UploadFile, File(description="导入文件")],
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auth: Annotated[AuthSchema, Depends(AuthPermission(["module_bre:trait_observation:import"]))],
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db: Annotated[AsyncSession, Depends(db_getter)],
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) -> JSONResponse:
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service = TraitObservationService(auth, db)
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batch_import_result = await service.batch_import(file=file, update_support=True)
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return SuccessResponse(data=batch_import_result, msg="导入性状观测成功")
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@TraitObservationRouter.post("/download/template", summary="获取性状观测导入模板", dependencies=[Depends(AuthPermission(["module_bre:trait_observation:download"]))])
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async def download_trait_observation__template_controller() -> StreamingResponse:
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import_template_result = TraitObservationService.import_template_download()
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return StreamResponse(
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data=bytes2file_response(import_template_result),
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media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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headers={
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"Content-Disposition": f"attachment; filename={urllib.parse.quote('性状观测管理导入模板.xlsx')}",
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"Access-Control-Expose-Headers": "Content-Disposition",
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},
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)
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@@ -0,0 +1,18 @@
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from typing import Any
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.base_crud import CRUDBase
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from app.core.base_schema import AuthSchema
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from .model import TraitObservationModel
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class BreedingTraitObservationCRUD(CRUDBase[TraitObservationModel, Any, Any]):
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"""性状观测 CRUD —— 直接复用 CRUDBase（已自动注入数据权限过滤）。"""
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def __init__(self, auth: AuthSchema, db: AsyncSession) -> None:
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super().__init__(TraitObservationModel, auth, db)
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trait_observation_crud = BreedingTraitObservationCRUD
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"""性状观测 数据模型"""
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from datetime import datetime
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from sqlalchemy import Float, ForeignKey, Index, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.base_model import MappedBase, ModelMixin, UserMixin
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class TraitObservationModel(ModelMixin, UserMixin, MappedBase):
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"""性状观测 主数据表。"""
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__tablename__ = "bre_trait_observation"
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evaluation_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("bre_tree_evaluation.id", ondelete="CASCADE"),
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index=True, nullable=True, comment="所属鉴定"
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)
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tree_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("bre_tree.id", ondelete="CASCADE"),
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index=True, nullable=True, comment="单株"
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)
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combination_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("bre_cross_combination.id", ondelete="CASCADE"),
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index=True, nullable=True, comment="杂交组合"
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)
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trait_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("bre_trait.id", ondelete="CASCADE"),
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index=True, nullable=False, comment="性状"
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)
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evaluate_year: Mapped[int | None] = mapped_column(Integer, nullable=True, comment="观测年份", default=None)
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value_numeric: Mapped[float | None] = mapped_column(Float, nullable=True, comment="数值", default=None)
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value_text: Mapped[str | None] = mapped_column(String(255), nullable=True, comment="文本值", default=None)
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value_date: Mapped[str | None] = mapped_column(String(20), nullable=True, comment="日期值", default=None)
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remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="备注", default=None)
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trial_study_id: Mapped[int | None] = mapped_column(
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Integer, ForeignKey("bre_trial_study.id", ondelete="SET NULL"),
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index=True, nullable=True, comment="所属试验/站点(MET)"
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)
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crop_load: Mapped[float | None] = mapped_column(Float, nullable=True, comment="负载量(协变量)")
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stage: Mapped[str | None] = mapped_column(
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String(16), nullable=True, comment="观测发育阶段(juvenile幼龄/evaluation成株，缺省继承bre_trait.stage)"
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)
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# 无 status 列：覆盖基类默认 ix_<表>_status_deleted 索引，
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# 仅保留 (created_time, is_deleted) 复合索引用于数据权限过滤。
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__table_args__ = (
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Index("ix_bre_trait_observation_created_deleted", "created_time", "is_deleted"),
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)
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from app.core.base_schema import CommonSchema
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"""性状观测 —— 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 TraitObservationBaseSchema(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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evaluation_id: int | None = Field(default=None, description="所属鉴定")
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tree_id: int | None = Field(default=None, description="单株")
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combination_id: int | None = Field(default=None, description="杂交组合")
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trait_id: int = Field(..., description="性状")
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evaluate_year: int | None = Field(default=None, description="观测年份")
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value_numeric: float | None = Field(default=None, description="数值")
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value_text: str | None = Field(default=None, description="文本值")
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value_date: str | None = Field(default=None, description="日期值")
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stage: str | None = Field(default=None, description="观测发育阶段(juvenile/evaluation，缺省继承bre_trait.stage)")
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remark: str | None = Field(default=None, description="备注")
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class TraitObservationCreateSchema(TraitObservationBaseSchema):
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pass
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class TraitObservationUpdateSchema(TraitObservationBaseSchema):
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evaluation_id: int | None = Field(default=None, description="所属鉴定")
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tree_id: int | None = Field(default=None, description="单株")
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combination_id: int | None = Field(default=None, description="杂交组合")
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trait_id: int | None = Field(default=None, description="性状")
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evaluate_year: int | None = Field(default=None, description="观测年份")
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value_numeric: float | None = Field(default=None, description="数值")
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value_text: str | None = Field(default=None, description="文本值")
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value_date: str | None = Field(default=None, description="日期值")
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stage: str | None = Field(default=None, description="观测发育阶段(juvenile/evaluation，缺省继承bre_trait.stage)")
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remark: str | None = Field(default=None, description="备注")
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class TraitObservationOutSchema(TraitObservationBaseSchema):
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id: int
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uuid: str
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evaluation_name: str | None = None # 由 Service 层联表填充
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tree_name: str | None = None # 由 Service 层联表填充
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combination_name: str | None = None # 由 Service 层联表填充
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trait_name: str | None = None # 由 Service 层联表填充
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evaluate_year: int | None = None
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value_numeric: float | None = None
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value_text: str | None = None
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value_date: str | None = None
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stage: 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 TraitObservationQueryParam(BaseModel):
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evaluation_id: int | None = Field(default=None, description="所属鉴定", json_schema_extra={"q": "eq"})
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tree_id: int | None = Field(default=None, description="单株", json_schema_extra={"q": "eq"})
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combination_id: int | None = Field(default=None, description="杂交组合", json_schema_extra={"q": "eq"})
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trait_id: int | None = Field(default=None, description="性状", json_schema_extra={"q": "eq"})
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evaluate_year: int | None = Field(default=None, description="观测年份", json_schema_extra={"q": "eq"})
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@@ -0,0 +1,392 @@
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from typing import Any
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from fastapi import UploadFile
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.base_schema import AuthSchema, PageResultSchema, ImportResultSchema
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from app.core.exceptions import CustomException
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from app.core.logger import logger
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from app.utils.common_util import search_to_dict
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from app.utils.excel_util import ExcelUtil
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from .crud import BreedingTraitObservationCRUD
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from .schema import (
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TraitObservationCreateSchema,
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TraitObservationOutSchema,
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TraitObservationQueryParam,
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TraitObservationUpdateSchema,
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)
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from app.api.v1.module_bre.tree_evaluation.crud import BreedingTreeEvaluationCRUD
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from app.api.v1.module_bre.tree.crud import BreedingTreeCRUD
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from app.api.v1.module_bre.cross_combination.crud import BreedingCrossCombinationCRUD
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from app.api.v1.module_bre.trait.crud import BreedingTraitCRUD
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from app.core.base_crud import assert_no_children, assert_parents_exist
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from app.api.v1.module_bre.cross_combination.model import CrossCombinationModel
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from app.api.v1.module_bre.trait.model import TraitModel
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from app.api.v1.module_bre.tree_evaluation.model import TreeEvaluationModel
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from app.api.v1.module_bre.tree.model import TreeModel
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def _is_blank(v: Any) -> bool:
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return v is None or (isinstance(v, str) and v.strip() == "")
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def _none_if_blank(v: Any) -> Any:
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if _is_blank(v):
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return None
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return str(v).strip() if isinstance(v, str) else v
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def _to_float(v: Any) -> float | None:
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if _is_blank(v):
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return None
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try:
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return float(v)
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except (TypeError, ValueError):
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return None
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def _to_int(v: Any) -> int | None:
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if _is_blank(v):
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return None
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try:
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return int(float(v))
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except (TypeError, ValueError):
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return None
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class TraitObservationService:
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"""性状观测 模块服务层"""
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def __init__(self, auth: AuthSchema, db: AsyncSession) -> None:
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self.auth = auth
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self.db = db
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async def _assert_numeric_range(self, trait_id: int | None, value_numeric: float | None) -> None:
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"""数值观测必须在性状 valid_min/valid_max 区间内，越界拒绝入库。"""
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if trait_id is None or value_numeric is None:
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return
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trait = await BreedingTraitCRUD(self.auth, self.db).get(id=trait_id)
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if not trait:
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return # assert_parents_exist 已拦截不存在的性状，这里仅兜底
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if trait.valid_min is not None and value_numeric < float(trait.valid_min):
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raise CustomException(msg=f"数值 {value_numeric} 低于性状有效下限 {trait.valid_min}")
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if trait.valid_max is not None and value_numeric > float(trait.valid_max):
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raise CustomException(msg=f"数值 {value_numeric} 超出性状有效上限 {trait.valid_max}")
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async def _assert_stage_gate(self, data: Any, exclude_id: int | None = None, eff_stage_override: str | None = None) -> None:
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"""成株性状门禁（A6）：实生苗(童期)单株不可录成株(evaluation)性状。
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判定阶段取观测自带 stage，缺省继承 bre_trait.stage；观测显式 stage=juvenile
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视为童期评估可放行。单株已选优晋级(sp/ap/line…)或非实生苗不受限。
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update 走 eff_stage_override（data.stage 或既有行 stage），避免部分更新误判。
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"""
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tree_id = getattr(data, "tree_id", None)
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trait_id = getattr(data, "trait_id", None)
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if not tree_id or not trait_id:
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return
|
||||
tree = await BreedingTreeCRUD(self.auth, self.db).get(id=tree_id)
|
||||
if not tree or (getattr(tree, "stage", None) or "") != "seedling":
|
||||
return
|
||||
trait = await BreedingTraitCRUD(self.auth, self.db).get(id=trait_id)
|
||||
if not trait:
|
||||
return
|
||||
eff_stage = eff_stage_override or getattr(data, "stage", None) or trait.stage or "evaluation"
|
||||
if eff_stage == "evaluation":
|
||||
tree_no = getattr(tree, "tree_no", None) or f"#{tree.id}"
|
||||
raise CustomException(
|
||||
msg=f"实生苗(童期)单株 {tree_no} 不可记录成株性状「{trait.trait_name}」；"
|
||||
f"请将观测阶段改为 juvenile 评估，或先将单株选优晋级(sp/ap/line)"
|
||||
)
|
||||
|
||||
async def _attach_fk_labels(self, items: list[TraitObservationOutSchema]) -> None:
|
||||
if not items:
|
||||
return
|
||||
crud = BreedingTraitObservationCRUD(self.auth, self.db)
|
||||
evaluation_id_ids = {getattr(it, "evaluation_id") for it in items if getattr(it, "evaluation_id")}
|
||||
if evaluation_id_ids:
|
||||
refs = await BreedingTreeEvaluationCRUD(self.auth, self.db).get_list(search={"id": ("in", list(evaluation_id_ids))})
|
||||
ref_map = {r.id: getattr(r, "evaluate_date") for r in refs}
|
||||
for it in items:
|
||||
it.evaluation_name = ref_map.get(getattr(it, "evaluation_id"))
|
||||
tree_id_ids = {getattr(it, "tree_id") for it in items if getattr(it, "tree_id")}
|
||||
if tree_id_ids:
|
||||
refs = await BreedingTreeCRUD(self.auth, self.db).get_list(search={"id": ("in", list(tree_id_ids))})
|
||||
ref_map = {r.id: getattr(r, "tree_no") for r in refs}
|
||||
for it in items:
|
||||
it.tree_name = ref_map.get(getattr(it, "tree_id"))
|
||||
combination_id_ids = {getattr(it, "combination_id") for it in items if getattr(it, "combination_id")}
|
||||
if combination_id_ids:
|
||||
refs = await BreedingCrossCombinationCRUD(self.auth, self.db).get_list(search={"id": ("in", list(combination_id_ids))})
|
||||
ref_map = {r.id: getattr(r, "combination_code") for r in refs}
|
||||
for it in items:
|
||||
it.combination_name = ref_map.get(getattr(it, "combination_id"))
|
||||
trait_id_ids = {getattr(it, "trait_id") for it in items if getattr(it, "trait_id")}
|
||||
if trait_id_ids:
|
||||
refs = await BreedingTraitCRUD(self.auth, self.db).get_list(search={"id": ("in", list(trait_id_ids))})
|
||||
ref_map = {r.id: getattr(r, "trait_name") for r in refs}
|
||||
for it in items:
|
||||
it.trait_name = ref_map.get(getattr(it, "trait_id"))
|
||||
|
||||
async def detail(self, id: int) -> TraitObservationOutSchema:
|
||||
obj = await BreedingTraitObservationCRUD(self.auth, self.db).get(id=id)
|
||||
if not obj:
|
||||
raise CustomException(msg="该性状观测不存在")
|
||||
out = TraitObservationOutSchema.model_validate(obj)
|
||||
await self._attach_fk_labels([out])
|
||||
return out
|
||||
|
||||
async def get_list(
|
||||
self,
|
||||
search: TraitObservationQueryParam | None = None,
|
||||
order_by: list[dict[str, str]] | None = None,
|
||||
) -> list[TraitObservationOutSchema]:
|
||||
obj_list = await BreedingTraitObservationCRUD(self.auth, self.db).get_list(
|
||||
search=search_to_dict(search), order_by=order_by
|
||||
)
|
||||
outs = [TraitObservationOutSchema.model_validate(obj) for obj in obj_list]
|
||||
await self._attach_fk_labels(outs)
|
||||
return outs
|
||||
|
||||
async def page(
|
||||
self,
|
||||
page_no: int,
|
||||
page_size: int,
|
||||
search: TraitObservationQueryParam | None = None,
|
||||
order_by: list[dict[str, str]] | None = None,
|
||||
) -> PageResultSchema[TraitObservationOutSchema]:
|
||||
offset = (page_no - 1) * page_size
|
||||
result = await BreedingTraitObservationCRUD(self.auth, self.db).page(
|
||||
offset=offset,
|
||||
limit=page_size,
|
||||
order_by=order_by or [{"id": "asc"}],
|
||||
search=search_to_dict(search, {}),
|
||||
out_schema=TraitObservationOutSchema,
|
||||
)
|
||||
await self._attach_fk_labels(result.items)
|
||||
return result
|
||||
|
||||
async def create(self, data: TraitObservationCreateSchema) -> TraitObservationOutSchema:
|
||||
await assert_parents_exist(
|
||||
self.db,
|
||||
[
|
||||
(TreeEvaluationModel, data.evaluation_id, '单株评价'),
|
||||
(TreeModel, data.tree_id, '单株'),
|
||||
(CrossCombinationModel, data.combination_id, '杂交组合'),
|
||||
(TraitModel, data.trait_id, '性状'),
|
||||
],
|
||||
)
|
||||
# 缺省继承性状发育阶段（schema 注释约定）：data.stage 留空时以 bre_trait.stage 回填落库
|
||||
if data.stage is None and data.trait_id is not None:
|
||||
_trait = await BreedingTraitCRUD(self.auth, self.db).get(id=data.trait_id)
|
||||
if _trait and _trait.stage:
|
||||
data = data.model_copy(update={"stage": _trait.stage})
|
||||
# 同一次鉴定下同一单株同一性状只允许一条观测（tree_id 为空表示组合级观测，跳过判重）
|
||||
if data.tree_id is not None:
|
||||
dup = await BreedingTraitObservationCRUD(self.auth, self.db).get(
|
||||
evaluation_id=data.evaluation_id, tree_id=data.tree_id, trait_id=data.trait_id
|
||||
)
|
||||
if dup:
|
||||
raise CustomException(msg="创建失败，该单株在此次鉴定中已存在该性状观测")
|
||||
await self._assert_numeric_range(data.trait_id, data.value_numeric)
|
||||
await self._assert_stage_gate(data)
|
||||
obj = await BreedingTraitObservationCRUD(self.auth, self.db).create(data=data)
|
||||
out = TraitObservationOutSchema.model_validate(obj)
|
||||
await self._attach_fk_labels([out])
|
||||
return out
|
||||
|
||||
async def update(self, id: int, data: TraitObservationUpdateSchema) -> TraitObservationOutSchema:
|
||||
obj = await BreedingTraitObservationCRUD(self.auth, self.db).get(id=id)
|
||||
if not obj:
|
||||
raise CustomException(msg="更新失败，该性状观测不存在")
|
||||
await assert_parents_exist(
|
||||
self.db,
|
||||
[
|
||||
(TreeEvaluationModel, data.evaluation_id, '单株评价'),
|
||||
(TreeModel, data.tree_id, '单株'),
|
||||
(CrossCombinationModel, data.combination_id, '杂交组合'),
|
||||
(TraitModel, data.trait_id, '性状'),
|
||||
],
|
||||
)
|
||||
# 更新后 (evaluation_id, tree_id, trait_id) 仍需唯一（未提交的字段取现值）
|
||||
eval_id = data.evaluation_id if data.evaluation_id is not None else obj.evaluation_id
|
||||
tree_id = data.tree_id if data.tree_id is not None else obj.tree_id
|
||||
trait_id = data.trait_id if data.trait_id is not None else obj.trait_id
|
||||
if tree_id is not None:
|
||||
dup = await BreedingTraitObservationCRUD(self.auth, self.db).get(
|
||||
evaluation_id=eval_id, tree_id=tree_id, trait_id=trait_id
|
||||
)
|
||||
if dup and dup.id != id:
|
||||
raise CustomException(msg="更新失败，该单株在此次鉴定中已存在该性状观测")
|
||||
await self._assert_numeric_range(
|
||||
data.trait_id if data.trait_id is not None else obj.trait_id,
|
||||
data.value_numeric if data.value_numeric is not None else obj.value_numeric,
|
||||
)
|
||||
await self._assert_stage_gate(
|
||||
data, exclude_id=id, eff_stage_override=(data.stage or obj.stage)
|
||||
)
|
||||
obj = await BreedingTraitObservationCRUD(self.auth, self.db).update(id=id, data=data)
|
||||
out = TraitObservationOutSchema.model_validate(obj)
|
||||
await self._attach_fk_labels([out])
|
||||
return out
|
||||
|
||||
async def delete(self, ids: list[int]) -> None:
|
||||
if not ids:
|
||||
raise CustomException(msg="删除失败，删除对象不能为空")
|
||||
objs = await BreedingTraitObservationCRUD(self.auth, self.db).get_list(search={"id": ("in", ids)})
|
||||
obj_map = {o.id: o for o in objs}
|
||||
for id_ in ids:
|
||||
if id_ not in obj_map:
|
||||
raise CustomException(msg="删除失败，该性状观测不存在")
|
||||
await BreedingTraitObservationCRUD(self.auth, self.db).delete(ids=ids)
|
||||
|
||||
async def list_options(self) -> list[dict[str, Any]]:
|
||||
"""供前端下拉选择使用：返回 [{value, label}]。"""
|
||||
obj_list = await BreedingTraitObservationCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||||
return [{"value": o.id, "label": o.value_text} for o in obj_list]
|
||||
|
||||
@staticmethod
|
||||
def batch_export(obj_list: list[dict[str, Any]]) -> bytes:
|
||||
mapping_dict = {
|
||||
"evaluation_name": "所属鉴定",
|
||||
"tree_name": "单株",
|
||||
"combination_name": "杂交组合",
|
||||
"trait_name": "性状",
|
||||
"evaluate_year": "观测年份",
|
||||
"value_numeric": "数值",
|
||||
"value_text": "文本值",
|
||||
"value_date": "日期值",
|
||||
"stage": "阶段",
|
||||
"remark": "备注",
|
||||
"created_time": "创建时间",
|
||||
"created_by": "创建者",
|
||||
}
|
||||
data = [dict(item) for item in obj_list]
|
||||
for item in data:
|
||||
creator = item.get("created_by")
|
||||
item["created_by"] = creator.get("name", "未知") if isinstance(creator, dict) else "未知"
|
||||
return ExcelUtil.export_list2excel(list_data=data, mapping_dict=mapping_dict)
|
||||
|
||||
async def batch_import(self, file: UploadFile, update_support: bool = False) -> ImportResultSchema:
|
||||
header_dict = {
|
||||
"所属鉴定": "evaluation_id",
|
||||
"单株": "tree_id",
|
||||
"杂交组合": "combination_id",
|
||||
"性状": "trait_id",
|
||||
"观测年份": "evaluate_year",
|
||||
"数值": "value_numeric",
|
||||
"文本值": "value_text",
|
||||
"日期值": "value_date",
|
||||
"阶段": "stage",
|
||||
"备注": "remark",
|
||||
}
|
||||
try:
|
||||
contents = await file.read()
|
||||
rows = ExcelUtil.read_excel_to_dicts(contents)
|
||||
await file.close()
|
||||
if not rows:
|
||||
raise CustomException(msg="导入文件为空")
|
||||
missing_headers = [h for h in header_dict if h not in rows[0]]
|
||||
if missing_headers:
|
||||
raise CustomException(msg=f"导入文件缺少必要的列: {', '.join(missing_headers)}")
|
||||
evaluation_id_refs = await BreedingTreeEvaluationCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||||
evaluation_id_map = {getattr(r, "evaluate_date"): r.id for r in evaluation_id_refs}
|
||||
tree_id_refs = await BreedingTreeCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||||
tree_id_map = {getattr(r, "tree_no"): r.id for r in tree_id_refs}
|
||||
combination_id_refs = await BreedingCrossCombinationCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||||
combination_id_map = {getattr(r, "combination_code"): r.id for r in combination_id_refs}
|
||||
trait_id_refs = await BreedingTraitCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||||
trait_id_map = {getattr(r, "trait_name"): r.id for r in trait_id_refs}
|
||||
trait_valid_map = {r.id: (r.valid_min, r.valid_max) for r in trait_id_refs}
|
||||
mapped_rows = []
|
||||
for row in rows:
|
||||
mapped_rows.append({en: row.get(ch) for ch, en in header_dict.items()})
|
||||
required_fields = ["trait_id"]
|
||||
errors = []
|
||||
for field in required_fields:
|
||||
missing_indices = [i + 1 for i, r in enumerate(mapped_rows) if _is_blank(r.get(field))]
|
||||
if missing_indices:
|
||||
field_name = next(k for k, v in header_dict.items() if v == field)
|
||||
rows_str = "、".join(str(i) for i in missing_indices)
|
||||
errors.append(f"{field_name}不能为空，第{rows_str}行")
|
||||
if errors:
|
||||
raise CustomException(msg=f"导入失败，以下行缺少必要字段：\n{'; '.join(errors)}")
|
||||
error_msgs: list[str] = []
|
||||
success_count = 0
|
||||
crud = BreedingTraitObservationCRUD(self.auth, self.db)
|
||||
for i, row in enumerate(mapped_rows, start=1):
|
||||
try:
|
||||
evaluation_id_val = evaluation_id_map.get(str(row.get("evaluation_id")).strip()) if not _is_blank(row.get("evaluation_id")) else None
|
||||
tree_id_val = tree_id_map.get(str(row.get("tree_id")).strip()) if not _is_blank(row.get("tree_id")) else None
|
||||
combination_id_val = combination_id_map.get(str(row.get("combination_id")).strip()) if not _is_blank(row.get("combination_id")) else None
|
||||
trait_id_val = trait_id_map.get(str(row.get("trait_id")).strip()) if not _is_blank(row.get("trait_id")) else None
|
||||
fields = {
|
||||
"evaluation_id": evaluation_id_val,
|
||||
"tree_id": tree_id_val,
|
||||
"combination_id": combination_id_val,
|
||||
"trait_id": trait_id_val,
|
||||
"evaluate_year": _to_int(row.get("evaluate_year")),
|
||||
"value_numeric": _to_float(row.get("value_numeric")),
|
||||
"value_text": _none_if_blank(row.get("value_text")),
|
||||
"value_date": _none_if_blank(row.get("value_date")),
|
||||
"stage": _none_if_blank(row.get("stage")),
|
||||
"remark": _none_if_blank(row.get("remark")),
|
||||
}
|
||||
if fields["value_numeric"] is not None and trait_id_val is not None:
|
||||
vmin, vmax = trait_valid_map.get(trait_id_val, (None, None))
|
||||
if vmin is not None and fields["value_numeric"] < float(vmin):
|
||||
error_msgs.append(f"第{i}行: 数值 {fields['value_numeric']} 低于性状有效下限 {vmin}")
|
||||
continue
|
||||
if vmax is not None and fields["value_numeric"] > float(vmax):
|
||||
error_msgs.append(f"第{i}行: 数值 {fields['value_numeric']} 超出性状有效上限 {vmax}")
|
||||
continue
|
||||
create_data = TraitObservationCreateSchema(**fields)
|
||||
if tree_id_val is not None:
|
||||
dup = await crud.get(
|
||||
evaluation_id=evaluation_id_val, tree_id=tree_id_val, trait_id=trait_id_val
|
||||
)
|
||||
if dup:
|
||||
if update_support:
|
||||
await crud.update(id=dup.id, data=TraitObservationUpdateSchema(**fields))
|
||||
success_count += 1
|
||||
else:
|
||||
error_msgs.append(f"第{i}行: 该单株在此次鉴定中已存在该性状观测")
|
||||
continue
|
||||
await crud.create(data=create_data)
|
||||
success_count += 1
|
||||
except Exception as e:
|
||||
error_msgs.append(f"第{i}行: {e!s}")
|
||||
continue
|
||||
return ImportResultSchema(
|
||||
valid_count=success_count,
|
||||
invalid_count=len(error_msgs),
|
||||
message_list=error_msgs,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"批量导入性状观测失败: {e!s}")
|
||||
raise CustomException(msg=f"导入失败: {e!s}")
|
||||
|
||||
@staticmethod
|
||||
def import_template_download() -> bytes:
|
||||
header_list = [
|
||||
"所属鉴定",
|
||||
"单株",
|
||||
"杂交组合",
|
||||
"性状",
|
||||
"观测年份",
|
||||
"数值",
|
||||
"文本值",
|
||||
"日期值",
|
||||
"阶段",
|
||||
"备注",
|
||||
]
|
||||
selector_header_list = []
|
||||
option_list = [
|
||||
]
|
||||
return ExcelUtil.get_excel_template(
|
||||
header_list=header_list,
|
||||
selector_header_list=selector_header_list,
|
||||
option_list=option_list,
|
||||
)
|
||||
Reference in New Issue
Block a user