358 lines
17 KiB
Python
358 lines
17 KiB
Python
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 BreedingObservationCRUD
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from .schema import (
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ObservationCreateSchema,
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ObservationOutSchema,
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ObservationQueryParam,
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ObservationUpdateSchema,
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)
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from app.core.base_crud import assert_parents_exist
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from app.api.v1.module_bre.tree.crud import BreedingTreeCRUD
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from app.api.v1.module_bre.tree.model import TreeModel
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from app.api.v1.module_bre.trait.crud import BreedingTraitCRUD
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from app.api.v1.module_bre.trait.model import TraitModel
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from app.api.v1.module_bre.trial_study.crud import BreedingTrialStudyCRUD
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from app.api.v1.module_bre.trial_study.model import TrialStudyModel
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from app.api.v1.module_bre.personnel.crud import BreedingPersonnelCRUD
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from app.api.v1.module_bre.personnel.model import PersonnelModel
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from app.api.v1.module_bre.germplasm.crud import BreedingGermplasmCRUD
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from app.api.v1.module_bre.germplasm.model import BreedingGermplasmModel
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from app.api.v1.module_bre.site.crud import BreedingPlotCRUD, BreedingSiteCRUD
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from app.api.v1.module_bre.site.model import BreedingPlotModel
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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_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 ObservationService:
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"""通用观测 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 _validate_obs(self, data: Any, exclude_id: int | None = None) -> None:
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"""EAV 观测校验（A5）：obs_type 解析校验 + 数值范围 + 同日同目标同性状判重。"""
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obs_type = getattr(data, "obs_type", None)
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obs_value = getattr(data, "obs_value", None)
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if obs_type and obs_value is not None:
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val = str(obs_value).strip()
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if obs_type == "numeric":
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try:
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float(val)
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except (TypeError, ValueError):
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raise CustomException(msg=f"观测值「{obs_value}」不是有效数值（obs_type=numeric）")
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elif obs_type == "date":
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import datetime
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try:
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datetime.date.fromisoformat(val)
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except ValueError:
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raise CustomException(msg=f"观测值「{obs_value}」不是有效日期（obs_type=date，需 YYYY-MM-DD）")
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trait_id = getattr(data, "trait_id", None)
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if trait_id and obs_type == "numeric" and obs_value is not None:
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trait = await BreedingTraitCRUD(self.auth, self.db).get(id=trait_id)
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if trait:
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num = float(obs_value)
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if trait.valid_min is not None and num < float(trait.valid_min):
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raise CustomException(msg=f"数值 {num} 低于性状「{trait.trait_name}」有效下限 {trait.valid_min}")
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if trait.valid_max is not None and num > float(trait.valid_max):
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raise CustomException(msg=f"数值 {num} 超出性状「{trait.trait_name}」有效上限 {trait.valid_max}")
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subj = [
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("tree_id", getattr(data, "tree_id", None)),
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("plot_id", getattr(data, "plot_id", None)),
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("germplasm_id", getattr(data, "germplasm_id", None)),
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]
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present = [(k, v) for k, v in subj if v is not None]
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if len(present) > 1:
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raise CustomException(msg="观测目标只能指定一个：单株/小区/种质资源 不可同时指定")
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if trait_id and present:
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key, subj_id = present[0]
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dup = await BreedingObservationCRUD(self.auth, self.db).get(
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**{key: subj_id},
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trait_id=trait_id,
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obs_date=getattr(data, "obs_date", None),
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obs_year=getattr(data, "obs_year", None),
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)
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if dup and dup.id != exclude_id:
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raise CustomException(msg="该目标在此日期/年份已存在同性状观测（同日同性状判重）")
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async def _attach_fk_labels(self, items: list[ObservationOutSchema]) -> None:
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if not items:
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return
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tree_ids = {getattr(it, "tree_id") for it in items if getattr(it, "tree_id")}
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if tree_ids:
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refs = await BreedingTreeCRUD(self.auth, self.db).get_list(search={"id": ("in", list(tree_ids))})
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ref_map = {r.id: getattr(r, "tree_no") for r in refs}
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for it in items:
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it.tree_no = ref_map.get(getattr(it, "tree_id"))
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plot_ids = {getattr(it, "plot_id") for it in items if getattr(it, "plot_id")}
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if plot_ids:
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plots = await BreedingPlotCRUD(self.auth, self.db).get_list(search={"id": ("in", list(plot_ids))})
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site_ids = {getattr(p, "site_id") for p in plots if getattr(p, "site_id")}
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site_map: dict[int, str] = {}
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if site_ids:
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sites = await BreedingSiteCRUD(self.auth, self.db).get_list(search={"id": ("in", list(site_ids))})
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site_map = {r.id: getattr(r, "site_name") for r in sites}
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plot_map = {p.id: f"{site_map.get(p.site_id, '')}-{p.plot_code}" for p in plots}
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for it in items:
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it.plot_label = plot_map.get(getattr(it, "plot_id"))
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trait_ids = {getattr(it, "trait_id") for it in items if getattr(it, "trait_id")}
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if trait_ids:
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refs = await BreedingTraitCRUD(self.auth, self.db).get_list(search={"id": ("in", list(trait_ids))})
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ref_map = {r.id: getattr(r, "trait_name") for r in refs}
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for it in items:
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it.trait_name = ref_map.get(getattr(it, "trait_id"))
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germplasm_ids = {getattr(it, "germplasm_id") for it in items if getattr(it, "germplasm_id")}
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if germplasm_ids:
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refs = await BreedingGermplasmCRUD(self.auth, self.db).get_list(search={"id": ("in", list(germplasm_ids))})
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ref_map = {r.id: getattr(r, "cultivar_name") for r in refs}
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for it in items:
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it.germplasm_name = ref_map.get(getattr(it, "germplasm_id"))
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trial_study_ids = {getattr(it, "trial_study_id") for it in items if getattr(it, "trial_study_id")}
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if trial_study_ids:
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refs = await BreedingTrialStudyCRUD(self.auth, self.db).get_list(search={"id": ("in", list(trial_study_ids))})
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ref_map = {r.id: getattr(r, "study_name") for r in refs}
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for it in items:
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it.trial_study_name = ref_map.get(getattr(it, "trial_study_id"))
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operator_ids = {getattr(it, "operator_id") for it in items if getattr(it, "operator_id")}
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if operator_ids:
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refs = await BreedingPersonnelCRUD(self.auth, self.db).get_list(search={"id": ("in", list(operator_ids))})
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ref_map = {r.id: getattr(r, "name") for r in refs}
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for it in items:
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it.operator_name = ref_map.get(getattr(it, "operator_id"))
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async def detail(self, id: int) -> ObservationOutSchema:
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obj = await BreedingObservationCRUD(self.auth, self.db).get(id=id)
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if not obj:
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raise CustomException(msg="该观测不存在")
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out = ObservationOutSchema.model_validate(obj)
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await self._attach_fk_labels([out])
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return out
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async def get_list(
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self,
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search: ObservationQueryParam | None = None,
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order_by: list[dict[str, str]] | None = None,
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) -> list[ObservationOutSchema]:
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obj_list = await BreedingObservationCRUD(self.auth, self.db).get_list(
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search=search_to_dict(search), order_by=order_by
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)
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outs = [ObservationOutSchema.model_validate(obj) for obj in obj_list]
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await self._attach_fk_labels(outs)
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return outs
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async def page(
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self,
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page_no: int,
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page_size: int,
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search: ObservationQueryParam | None = None,
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order_by: list[dict[str, str]] | None = None,
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) -> PageResultSchema[ObservationOutSchema]:
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offset = (page_no - 1) * page_size
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result = await BreedingObservationCRUD(self.auth, self.db).page(
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offset=offset,
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limit=page_size,
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order_by=order_by or [{"id": "asc"}],
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search=search_to_dict(search, {}),
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out_schema=ObservationOutSchema,
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)
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await self._attach_fk_labels(result.items)
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return result
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async def create(self, data: ObservationCreateSchema) -> ObservationOutSchema:
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await assert_parents_exist(
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self.db,
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[
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(TreeModel, data.tree_id, '单株'),
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(BreedingPlotModel, data.plot_id, '小区'),
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(BreedingGermplasmModel, data.germplasm_id, '种质资源'),
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(TraitModel, data.trait_id, '性状'),
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(TrialStudyModel, data.trial_study_id, '试验'),
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(PersonnelModel, data.operator_id, '观测人'),
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],
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)
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await self._validate_obs(data)
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obj = await BreedingObservationCRUD(self.auth, self.db).create(data=data)
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out = ObservationOutSchema.model_validate(obj)
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await self._attach_fk_labels([out])
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return out
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async def update(self, id: int, data: ObservationUpdateSchema) -> ObservationOutSchema:
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obj = await BreedingObservationCRUD(self.auth, self.db).get(id=id)
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if not obj:
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raise CustomException(msg="更新失败，该观测不存在")
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await assert_parents_exist(
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self.db,
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[
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(TreeModel, data.tree_id, '单株'),
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(BreedingPlotModel, data.plot_id, '小区'),
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(BreedingGermplasmModel, data.germplasm_id, '种质资源'),
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(TraitModel, data.trait_id, '性状'),
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(TrialStudyModel, data.trial_study_id, '试验'),
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(PersonnelModel, data.operator_id, '观测人'),
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],
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)
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await self._validate_obs(data, exclude_id=id)
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obj = await BreedingObservationCRUD(self.auth, self.db).update(id=id, data=data)
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out = ObservationOutSchema.model_validate(obj)
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await self._attach_fk_labels([out])
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return out
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async def delete(self, ids: list[int]) -> None:
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if not ids:
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raise CustomException(msg="删除失败，删除对象不能为空")
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objs = await BreedingObservationCRUD(self.auth, self.db).get_list(search={"id": ("in", ids)})
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obj_map = {o.id: o for o in objs}
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for id_ in ids:
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if id_ not in obj_map:
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raise CustomException(msg="删除失败，该观测不存在")
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await BreedingObservationCRUD(self.auth, self.db).delete(ids=ids)
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async def list_options(self) -> list[dict[str, Any]]:
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"""供前端下拉选择使用：返回 [{value, label}]。"""
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obj_list = await BreedingObservationCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
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return [{"value": o.id, "label": f"{o.obs_type or 'obs'}: {o.obs_value or ''}"} for o in obj_list]
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@staticmethod
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def batch_export(obj_list: list[dict[str, Any]]) -> bytes:
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mapping_dict = {
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"tree_no": "单株",
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"plot_label": "小区",
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"trait_name": "性状",
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"obs_type": "观测类型",
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"obs_value": "观测值",
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"obs_date": "观测日期",
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"obs_year": "观测年份",
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"trial_study_name": "试验",
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"operator_name": "观测人",
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"remark": "备注",
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"created_time": "创建时间",
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"created_by": "创建者",
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}
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data = [dict(item) for item in obj_list]
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for item in data:
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creator = item.get("created_by")
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item["created_by"] = creator.get("name", "未知") if isinstance(creator, dict) else "未知"
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return ExcelUtil.export_list2excel(list_data=data, mapping_dict=mapping_dict)
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async def batch_import(self, file: UploadFile, update_support: bool = False) -> ImportResultSchema:
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header_dict = {
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"单株": "tree_id",
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"小区": "plot_id",
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"性状": "trait_id",
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"观测类型": "obs_type",
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"观测值": "obs_value",
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"观测日期": "obs_date",
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"观测年份": "obs_year",
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"试验": "trial_study_id",
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"观测人": "operator_id",
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"备注": "remark",
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}
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try:
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contents = await file.read()
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rows = ExcelUtil.read_excel_to_dicts(contents)
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await file.close()
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if not rows:
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raise CustomException(msg="导入文件为空")
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missing_headers = [h for h in header_dict if h not in rows[0]]
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if missing_headers:
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raise CustomException(msg=f"导入文件缺少必要的列: {', '.join(missing_headers)}")
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tree_refs = await BreedingTreeCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
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tree_map = {getattr(r, "tree_no"): r.id for r in tree_refs}
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plot_refs = await BreedingPlotCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
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site_ids = {getattr(r, "site_id") for r in plot_refs if getattr(r, "site_id")}
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site_refs = await BreedingSiteCRUD(self.auth, self.db).get_list(search={"id": ("in", list(site_ids))}) if site_ids else []
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site_map = {r.id: getattr(r, "site_name") for r in site_refs}
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plot_map = {f"{site_map.get(r.site_id) or ''}-{r.plot_code}": r.id for r in plot_refs}
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trait_refs = await BreedingTraitCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
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trait_map = {getattr(r, "trait_name"): r.id for r in trait_refs}
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trial_study_refs = await BreedingTrialStudyCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
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trial_study_map = {getattr(r, "study_name"): r.id for r in trial_study_refs}
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operator_refs = await BreedingPersonnelCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
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operator_map = {getattr(r, "name"): r.id for r in operator_refs}
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error_msgs: list[str] = []
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success_count = 0
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crud = BreedingObservationCRUD(self.auth, self.db)
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for i, row in enumerate(rows, start=1):
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try:
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fields = {
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"tree_id": tree_map.get(str(row.get("tree_id")).strip())
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if not _is_blank(row.get("tree_id")) else None,
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"plot_id": plot_map.get(str(row.get("plot_id")).strip())
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if not _is_blank(row.get("plot_id")) else None,
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"trait_id": trait_map.get(str(row.get("trait_id")).strip())
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if not _is_blank(row.get("trait_id")) else None,
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"obs_type": _none_if_blank(row.get("obs_type")),
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"obs_value": _none_if_blank(row.get("obs_value")),
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"obs_date": _none_if_blank(row.get("obs_date")),
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"obs_year": _to_int(row.get("obs_year")),
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"trial_study_id": trial_study_map.get(str(row.get("trial_study_id")).strip())
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if not _is_blank(row.get("trial_study_id")) else None,
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"operator_id": operator_map.get(str(row.get("operator_id")).strip())
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if not _is_blank(row.get("operator_id")) else None,
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"remark": _none_if_blank(row.get("remark")),
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}
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create_data = ObservationCreateSchema(**fields)
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await crud.create(data=create_data)
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success_count += 1
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except Exception as e:
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error_msgs.append(f"第{i}行: {e!s}")
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continue
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return ImportResultSchema(
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valid_count=success_count,
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invalid_count=len(error_msgs),
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message_list=error_msgs,
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)
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except Exception as e:
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logger.error(f"批量导入通用观测失败: {e!s}")
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raise CustomException(msg=f"导入失败: {e!s}")
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@staticmethod
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def import_template_download() -> bytes:
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header_list = [
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"单株",
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"小区",
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"性状",
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"观测类型",
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"观测值",
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"观测日期",
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"观测年份",
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"试验",
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"观测人",
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"备注",
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]
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selector_header_list = []
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option_list = []
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return ExcelUtil.get_excel_template(
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header_list=header_list,
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selector_header_list=selector_header_list,
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option_list=option_list,
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)
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