552 lines
28 KiB
Python
552 lines
28 KiB
Python
from typing import Any
|
||
|
||
from fastapi import UploadFile
|
||
from sqlalchemy.ext.asyncio import AsyncSession
|
||
|
||
from app.core.base_schema import AuthSchema, PageResultSchema, ImportResultSchema
|
||
from app.core.exceptions import CustomException
|
||
from app.core.logger import logger
|
||
from app.utils.common_util import search_to_dict
|
||
from app.utils.excel_util import ExcelUtil
|
||
from app.utils.dict_util import DictLabelResolver, dict_value_to_label
|
||
from app.utils.number_gen import NumberGenService
|
||
|
||
from .crud import BreedingSelectionResultCRUD
|
||
from .schema import (
|
||
SelectionResultBatchCreateResultSchema,
|
||
SelectionResultBatchCreateSchema,
|
||
SelectionResultCreateSchema,
|
||
SelectionResultOutSchema,
|
||
SelectionResultQueryParam,
|
||
SelectionResultUpdateSchema,
|
||
)
|
||
from app.api.v1.module_bre.cross_combination.crud import BreedingCrossCombinationCRUD
|
||
from app.api.v1.module_bre.tree.crud import BreedingTreeCRUD
|
||
from app.api.v1.module_bre.clone.crud import BreedingCloneCRUD
|
||
from app.api.v1.module_bre.selection_rule.crud import BreedingSelectionRuleCRUD
|
||
from app.api.v1.module_bre.personnel.crud import BreedingPersonnelCRUD
|
||
from app.api.v1.module_bre.trial_study.crud import BreedingTrialStudyCRUD
|
||
from app.api.v1.module_bre.germplasm.crud import BreedingGermplasmCRUD
|
||
from app.api.v1.module_bre.pedigree.crud import BreedingPedigreeCRUD
|
||
|
||
|
||
|
||
from app.core.base_crud import assert_dict_values, assert_no_children, assert_parents_exist, assert_status_forward
|
||
from app.api.v1.module_bre.cross_combination.model import CrossCombinationModel
|
||
from app.api.v1.module_bre.tree.model import TreeModel
|
||
from app.api.v1.module_bre.clone.model import CloneModel
|
||
from app.api.v1.module_bre.selection_rule.model import SelectionRuleModel
|
||
from app.api.v1.module_bre.personnel.model import PersonnelModel
|
||
from app.api.v1.module_bre.trial_study.model import TrialStudyModel
|
||
|
||
# A1 晋级触发条件（§8.10）：选育结论为正向选择且晋级阶段为无性系阶段时建 clone。
|
||
_PROMOTE_TO_STAGES = {"sp", "ap", "line", "regional_trial", "released"}
|
||
_POSITIVE_SELECT = {"selected", "primary", "key"}
|
||
# 晋级到品系及以后时，单株晋升为种质（建 bre_germplasm 并回填 tree.germplasm_id）。
|
||
_GERMPLASM_STAGES = {"line", "regional_trial", "released"}
|
||
_STAGE_ORDER = {
|
||
"germplasm": 0, "parent": 1, "seedling": 2,
|
||
"sp": 3, "ap": 4, "line": 5, "regional_trial": 6, "released": 7,
|
||
}
|
||
# identify_status（选育结论）落回单株状态（tree_status）的映射：两字典共享键，
|
||
# 正向结论写回 tree.status，使已入选/已淘汰的单株不再出现在存活候选池，避免重复筛选。
|
||
_TREE_STATUS_BY_SELECT = {
|
||
"selected": "selected",
|
||
"primary": "primary",
|
||
"key": "key",
|
||
"preserved": "preserved",
|
||
"eliminated": "eliminated",
|
||
}
|
||
|
||
|
||
def _is_blank(v: Any) -> bool:
|
||
return v is None or (isinstance(v, str) and v.strip() == "")
|
||
|
||
|
||
def _none_if_blank(v: Any) -> Any:
|
||
if _is_blank(v):
|
||
return None
|
||
return str(v).strip() if isinstance(v, str) else v
|
||
|
||
|
||
def _to_float(v: Any) -> float | None:
|
||
if _is_blank(v):
|
||
return None
|
||
try:
|
||
return float(v)
|
||
except (TypeError, ValueError):
|
||
return None
|
||
|
||
|
||
def _to_int(v: Any) -> int | None:
|
||
if _is_blank(v):
|
||
return None
|
||
try:
|
||
return int(float(v))
|
||
except (TypeError, ValueError):
|
||
return None
|
||
|
||
|
||
class SelectionResultService:
|
||
"""选育结果 模块服务层"""
|
||
|
||
def __init__(self, auth: AuthSchema, db: AsyncSession) -> None:
|
||
self.auth = auth
|
||
self.db = db
|
||
|
||
async def _attach_fk_labels(self, items: list[SelectionResultOutSchema]) -> None:
|
||
if not items:
|
||
return
|
||
crud = BreedingSelectionResultCRUD(self.auth, self.db)
|
||
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"))
|
||
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"))
|
||
clone_id_ids = {getattr(it, "clone_id") for it in items if getattr(it, "clone_id")}
|
||
if clone_id_ids:
|
||
refs = await BreedingCloneCRUD(self.auth, self.db).get_list(search={"id": ("in", list(clone_id_ids))})
|
||
ref_map = {r.id: getattr(r, "clone_code") for r in refs}
|
||
for it in items:
|
||
it.clone_name = ref_map.get(getattr(it, "clone_id"))
|
||
rule_id_ids = {getattr(it, "rule_id") for it in items if getattr(it, "rule_id")}
|
||
if rule_id_ids:
|
||
refs = await BreedingSelectionRuleCRUD(self.auth, self.db).get_list(search={"id": ("in", list(rule_id_ids))})
|
||
ref_map = {r.id: getattr(r, "rule_name") for r in refs}
|
||
for it in items:
|
||
it.rule_name = ref_map.get(getattr(it, "rule_id"))
|
||
approved_by_ids = {getattr(it, "approved_by") for it in items if getattr(it, "approved_by")}
|
||
if approved_by_ids:
|
||
refs = await BreedingPersonnelCRUD(self.auth, self.db).get_list(search={"id": ("in", list(approved_by_ids))})
|
||
ref_map = {r.id: getattr(r, "name") for r in refs}
|
||
for it in items:
|
||
it.approved_by_name = ref_map.get(getattr(it, "approved_by"))
|
||
trial_study_id_ids = {getattr(it, "trial_study_id") for it in items if getattr(it, "trial_study_id")}
|
||
if trial_study_id_ids:
|
||
refs = await BreedingTrialStudyCRUD(self.auth, self.db).get_list(search={"id": ("in", list(trial_study_id_ids))})
|
||
ref_map = {r.id: getattr(r, "study_name") for r in refs}
|
||
for it in items:
|
||
it.trial_study_name = ref_map.get(getattr(it, "trial_study_id"))
|
||
|
||
async def detail(self, id: int) -> SelectionResultOutSchema:
|
||
obj = await BreedingSelectionResultCRUD(self.auth, self.db).get(id=id)
|
||
if not obj:
|
||
raise CustomException(msg="该选育结果不存在")
|
||
out = SelectionResultOutSchema.model_validate(obj)
|
||
await self._attach_fk_labels([out])
|
||
return out
|
||
|
||
async def get_list(
|
||
self,
|
||
search: SelectionResultQueryParam | None = None,
|
||
order_by: list[dict[str, str]] | None = None,
|
||
) -> list[SelectionResultOutSchema]:
|
||
obj_list = await BreedingSelectionResultCRUD(self.auth, self.db).get_list(
|
||
search=search_to_dict(search), order_by=order_by
|
||
)
|
||
outs = [SelectionResultOutSchema.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: SelectionResultQueryParam | None = None,
|
||
order_by: list[dict[str, str]] | None = None,
|
||
) -> PageResultSchema[SelectionResultOutSchema]:
|
||
offset = (page_no - 1) * page_size
|
||
result = await BreedingSelectionResultCRUD(self.auth, self.db).page(
|
||
offset=offset,
|
||
limit=page_size,
|
||
order_by=order_by or [{"id": "asc"}],
|
||
search=search_to_dict(search, {}),
|
||
out_schema=SelectionResultOutSchema,
|
||
)
|
||
await self._attach_fk_labels(result.items)
|
||
return result
|
||
|
||
async def _fetch_tree_no(self, tree_id: int) -> str:
|
||
tree = await BreedingTreeCRUD(self.auth, self.db).get(id=tree_id)
|
||
return (tree.tree_no or "") if tree else ""
|
||
|
||
@staticmethod
|
||
def _year_of(v: Any) -> int | None:
|
||
"""从 'YYYY-MM-DD' / 'YYYY' 等字符串提取年份。"""
|
||
if _is_blank(v):
|
||
return None
|
||
head = str(v).strip()[:4]
|
||
return int(head) if head.isdigit() else None
|
||
|
||
async def _promote_tree_to_clone(self, tree_id: int, to_stage: str) -> int | None:
|
||
"""A1 入选晋升才建 clone（§8.10）。命中晋级条件时：
|
||
单株尚无无性系 → 按 {组合编号}-{序号:04d} 新建 bre_clone（复选沿用既有，不重复建）；
|
||
推进 tree.stage=to_stage（不回退）；晋级到品系及以后且未关联种质 →
|
||
以 clone_code 为品种名新建 bre_germplasm 并回填 tree.germplasm_id。
|
||
返回应关联的无性系 id（新建或既有；无则 None）。
|
||
"""
|
||
if to_stage not in _PROMOTE_TO_STAGES:
|
||
return None
|
||
tree = await BreedingTreeCRUD(self.auth, self.db).get(id=tree_id)
|
||
if not tree:
|
||
return None
|
||
if tree.stage in _STAGE_ORDER and to_stage in _STAGE_ORDER \
|
||
and _STAGE_ORDER[tree.stage] > _STAGE_ORDER[to_stage]:
|
||
return None # 不回退阶段
|
||
clone_id = tree.clone_id
|
||
combo = None
|
||
if clone_id is None:
|
||
combo = await BreedingCrossCombinationCRUD(self.auth, self.db).get(id=tree.combination_id)
|
||
combo_code = combo.combination_code if combo else ""
|
||
|
||
async def _seed() -> int | None:
|
||
existing = await BreedingCloneCRUD(self.auth, self.db).get_list(search={"combination_id": tree.combination_id})
|
||
seq = 0
|
||
for c in existing:
|
||
tail = (c.clone_code or "").rsplit("-", 1)[-1]
|
||
if tail.isdigit():
|
||
seq = max(seq, int(tail))
|
||
return seq + 1
|
||
|
||
seq = await NumberGenService(self.db).next_seq(f"clone:{tree.combination_id}", seed_fn=_seed)
|
||
clone_code = f"{combo_code}-{seq:04d}" if combo_code else f"CL{seq:04d}"
|
||
clone = await BreedingCloneCRUD(self.auth, self.db).create(data={
|
||
"clone_code": clone_code,
|
||
"combination_id": tree.combination_id,
|
||
"female_parent_id": tree.dam_id if tree.dam_id is not None else (combo.female_parent_id if combo else None),
|
||
"male_parent_id": tree.sire_id if tree.sire_id is not None else (combo.male_parent_id if combo else None),
|
||
"planting_year": self._year_of(tree.planted_date),
|
||
"generation": tree.generation,
|
||
"status": "1",
|
||
})
|
||
clone_id = clone.id
|
||
tree_update = {"clone_id": clone.id}
|
||
else:
|
||
_c = await BreedingCloneCRUD(self.auth, self.db).get(id=clone_id)
|
||
clone_code = _c.clone_code if _c else f"CL{clone_id}"
|
||
tree_update = {}
|
||
if tree.stage != to_stage:
|
||
tree_update["stage"] = to_stage
|
||
if tree_update:
|
||
await BreedingTreeCRUD(self.auth, self.db).update(id=tree.id, data=tree_update)
|
||
if to_stage in _GERMPLASM_STAGES and tree.germplasm_id is None:
|
||
germ = await BreedingGermplasmCRUD(self.auth, self.db).create(data={
|
||
"cultivar_name": clone_code,
|
||
"generation": tree.generation,
|
||
"stage": to_stage,
|
||
})
|
||
await BreedingTreeCRUD(self.auth, self.db).update(id=tree.id, data={"germplasm_id": germ.id})
|
||
# 世代闭环：晋升种质须同步落 bre_pedigree（child_code=品种名，dam/sire=种质级亲本）。
|
||
# 否则统计引擎 _build_pedigree 按 child_code 匹配不到 → 该种质被当 founder，
|
||
# 跨世代系谱链（A-BLUP/亲缘/近交规避/遗传增益滚雪球）断裂。
|
||
if combo is None:
|
||
combo = await BreedingCrossCombinationCRUD(self.auth, self.db).get(id=tree.combination_id)
|
||
dam_id = tree.dam_id if tree.dam_id is not None else (combo.female_parent_id if combo else None)
|
||
sire_id = tree.sire_id if tree.sire_id is not None else (combo.male_parent_id if combo else None)
|
||
if dam_id is not None or sire_id is not None:
|
||
existing_ped = await BreedingPedigreeCRUD(self.auth, self.db).get_list(
|
||
search={"child_code": clone_code})
|
||
if not existing_ped:
|
||
await BreedingPedigreeCRUD(self.auth, self.db).create(data={
|
||
"combination_id": tree.combination_id,
|
||
"child_code": clone_code,
|
||
"dam_id": dam_id,
|
||
"sire_id": sire_id,
|
||
"generation": tree.generation,
|
||
"remark": "单株晋级自动落系谱（世代闭环）",
|
||
})
|
||
return clone_id
|
||
|
||
async def _assert_stage_forward(self, tree_id: int, new_value: str | None) -> None:
|
||
"""选育结论状态机：不早于该单株此前已到达的最晚阶段。"""
|
||
if not new_value:
|
||
return
|
||
existing = await BreedingSelectionResultCRUD(self.auth, self.db).get_list(search={"tree_id": tree_id})
|
||
await assert_status_forward(
|
||
self.db, "identify_status", [e.is_selected for e in existing], new_value, "选育结论"
|
||
)
|
||
|
||
async def _sync_tree_status(self, tree_id: int, is_selected: str | None) -> None:
|
||
"""选育结论落回单株状态（tree_status）：只进不退，已入选/已淘汰的单株
|
||
不再出现在存活候选池，避免重复筛选。"""
|
||
if not is_selected or is_selected not in _TREE_STATUS_BY_SELECT:
|
||
return
|
||
tree = await BreedingTreeCRUD(self.auth, self.db).get(id=tree_id)
|
||
if not tree:
|
||
return
|
||
new_status = _TREE_STATUS_BY_SELECT[is_selected]
|
||
await assert_status_forward(self.db, "tree_status", [tree.status], new_status, "单株状态")
|
||
if tree.status != new_status:
|
||
await BreedingTreeCRUD(self.auth, self.db).update(id=tree.id, data={"status": new_status})
|
||
|
||
async def create(self, data: SelectionResultCreateSchema) -> SelectionResultOutSchema:
|
||
await assert_parents_exist(
|
||
self.db,
|
||
[
|
||
(CrossCombinationModel, data.combination_id, '杂交组合'),
|
||
(TreeModel, data.tree_id, '单株'),
|
||
(CloneModel, data.clone_id, '晋级无性系'),
|
||
(SelectionRuleModel, data.rule_id, '选育规则'),
|
||
(PersonnelModel, data.approved_by, '审核人'),
|
||
(TrialStudyModel, data.trial_study_id, '试验研究点'),
|
||
],
|
||
)
|
||
await assert_dict_values(
|
||
self.db,
|
||
[
|
||
('identify_status', data.is_selected, '选育结论'),
|
||
('breeding_stage', data.from_stage, '起始阶段'),
|
||
('breeding_stage', data.to_stage, '晋级阶段'),
|
||
],
|
||
)
|
||
await self._assert_stage_forward(data.tree_id, data.is_selected)
|
||
|
||
fields = data.model_dump(exclude_none=True)
|
||
fields["tree_no"] = await self._fetch_tree_no(data.tree_id)
|
||
obj = await BreedingSelectionResultCRUD(self.auth, self.db).create(data=fields)
|
||
if data.is_selected in _POSITIVE_SELECT:
|
||
clone_id = await self._promote_tree_to_clone(data.tree_id, data.to_stage)
|
||
if clone_id is not None and obj.clone_id is None:
|
||
obj.clone_id = clone_id
|
||
await self._sync_tree_status(data.tree_id, data.is_selected)
|
||
out = SelectionResultOutSchema.model_validate(obj)
|
||
await self._attach_fk_labels([out])
|
||
return out
|
||
|
||
async def create_batch(self, data: SelectionResultBatchCreateSchema) -> SelectionResultBatchCreateResultSchema:
|
||
"""批量评选：一批单株共享同一评审结论，单事务内逐棵复用 create()
|
||
（含校验 / A1 晋升 / 状态回写），一棵失败不影响其他。"""
|
||
if not data.tree_id:
|
||
raise CustomException(msg="批量评选失败，请至少选择一棵单株")
|
||
combo = await BreedingCrossCombinationCRUD(self.auth, self.db).get(id=data.combination_id)
|
||
if not combo:
|
||
raise CustomException(msg="批量评选失败，该杂交组合不存在")
|
||
common = data.model_dump(exclude={"combination_id", "tree_id"}, exclude_none=True)
|
||
success_ids: list[int] = []
|
||
fail_details: list[dict] = []
|
||
for tid in data.tree_id:
|
||
try:
|
||
create_data = SelectionResultCreateSchema(
|
||
combination_id=data.combination_id,
|
||
tree_id=tid,
|
||
**common,
|
||
)
|
||
obj = await self.create(create_data)
|
||
if obj.id is not None:
|
||
success_ids.append(obj.id)
|
||
except Exception as e:
|
||
tree_no = await self._fetch_tree_no(tid)
|
||
fail_details.append({"tree_id": tid, "tree_no": tree_no or f"#{tid}", "msg": f"{e!s}"})
|
||
return SelectionResultBatchCreateResultSchema(
|
||
success_count=len(success_ids),
|
||
fail_count=len(fail_details),
|
||
success_ids=success_ids,
|
||
fail_details=fail_details,
|
||
)
|
||
|
||
async def update(self, id: int, data: SelectionResultUpdateSchema) -> SelectionResultOutSchema:
|
||
obj = await BreedingSelectionResultCRUD(self.auth, self.db).get(id=id)
|
||
if not obj:
|
||
raise CustomException(msg="更新失败，该选育结果不存在")
|
||
await assert_parents_exist(
|
||
self.db,
|
||
[
|
||
(CrossCombinationModel, data.combination_id, '杂交组合'),
|
||
(TreeModel, data.tree_id, '单株'),
|
||
(CloneModel, data.clone_id, '晋级无性系'),
|
||
(SelectionRuleModel, data.rule_id, '选育规则'),
|
||
(PersonnelModel, data.approved_by, '审核人'),
|
||
(TrialStudyModel, data.trial_study_id, '试验研究点'),
|
||
],
|
||
)
|
||
await assert_dict_values(
|
||
self.db,
|
||
[
|
||
('identify_status', data.is_selected, '选育结论'),
|
||
('breeding_stage', data.from_stage, '起始阶段'),
|
||
('breeding_stage', data.to_stage, '晋级阶段'),
|
||
],
|
||
)
|
||
tree_id = data.tree_id if data.tree_id is not None else obj.tree_id
|
||
await self._assert_stage_forward(tree_id, data.is_selected)
|
||
|
||
fields = data.model_dump(exclude_unset=True, exclude_none=True)
|
||
if "tree_id" in fields:
|
||
fields["tree_no"] = await self._fetch_tree_no(fields["tree_id"])
|
||
obj = await BreedingSelectionResultCRUD(self.auth, self.db).update(id=id, data=fields)
|
||
is_selected = data.is_selected if data.is_selected is not None else obj.is_selected
|
||
to_stage = data.to_stage if data.to_stage is not None else obj.to_stage
|
||
if is_selected in _POSITIVE_SELECT:
|
||
clone_id = await self._promote_tree_to_clone(tree_id, to_stage)
|
||
if clone_id is not None and obj.clone_id is None:
|
||
obj.clone_id = clone_id
|
||
await self._sync_tree_status(tree_id, is_selected)
|
||
out = SelectionResultOutSchema.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 BreedingSelectionResultCRUD(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，该选育结果不存在")
|
||
await BreedingSelectionResultCRUD(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 BreedingSelectionResultCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||
return [{"value": o.id, "label": o.is_selected} for o in obj_list]
|
||
|
||
@staticmethod
|
||
def batch_export(obj_list: list[dict[str, Any]]) -> bytes:
|
||
mapping_dict = {
|
||
"combination_name": "杂交组合",
|
||
"tree_name": "单株",
|
||
"selection_year": "入选年份",
|
||
"is_selected": "选育结论",
|
||
"clone_name": "晋级无性系",
|
||
"rule_name": "选育规则",
|
||
"from_stage": "起始阶段",
|
||
"to_stage": "晋级阶段",
|
||
"approved_by_name": "审核人",
|
||
"trial_study_name": "试验研究点",
|
||
"reason": "入选理由",
|
||
"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"
|
||
item["is_selected"] = dict_value_to_label("identify_status", item.get("is_selected"))
|
||
item["from_stage"] = dict_value_to_label("breeding_stage", item.get("from_stage"))
|
||
item["to_stage"] = dict_value_to_label("breeding_stage", item.get("to_stage"))
|
||
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 = {
|
||
"杂交组合": "combination_id",
|
||
"单株": "tree_id",
|
||
"入选年份": "selection_year",
|
||
"选育结论": "is_selected",
|
||
"晋级无性系": "clone_id",
|
||
"选育规则": "rule_id",
|
||
"起始阶段": "from_stage",
|
||
"晋级阶段": "to_stage",
|
||
"审核人": "approved_by",
|
||
"试验研究点": "trial_study_id",
|
||
"入选理由": "reason",
|
||
"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)}")
|
||
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}
|
||
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}
|
||
clone_id_refs = await BreedingCloneCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||
clone_id_map = {getattr(r, "clone_code"): r.id for r in clone_id_refs}
|
||
rule_id_refs = await BreedingSelectionRuleCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||
rule_id_map = {getattr(r, "rule_name"): r.id for r in rule_id_refs}
|
||
approved_by_refs = await BreedingPersonnelCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||
approved_by_map = {getattr(r, "name"): r.id for r in approved_by_refs}
|
||
trial_study_id_refs = await BreedingTrialStudyCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
|
||
trial_study_id_map = {getattr(r, "study_name"): r.id for r in trial_study_id_refs}
|
||
mapped_rows = []
|
||
for row in rows:
|
||
mapped_rows.append({en: row.get(ch) for ch, en in header_dict.items()})
|
||
required_fields = ["combination_id", "tree_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
|
||
resolver = DictLabelResolver(self.auth, self.db, ["identify_status", "breeding_stage"])
|
||
for i, row in enumerate(mapped_rows, start=1):
|
||
try:
|
||
combination_id_val = combination_id_map.get(str(row.get("combination_id")).strip()) if not _is_blank(row.get("combination_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
|
||
clone_id_val = clone_id_map.get(str(row.get("clone_id")).strip()) if not _is_blank(row.get("clone_id")) else None
|
||
rule_id_val = rule_id_map.get(str(row.get("rule_id")).strip()) if not _is_blank(row.get("rule_id")) else None
|
||
approved_by_val = approved_by_map.get(str(row.get("approved_by")).strip()) if not _is_blank(row.get("approved_by")) else None
|
||
trial_study_id_val = trial_study_id_map.get(str(row.get("trial_study_id")).strip()) if not _is_blank(row.get("trial_study_id")) else None
|
||
fields = {
|
||
"combination_id": combination_id_val,
|
||
"tree_id": tree_id_val,
|
||
"selection_year": _to_int(row.get("selection_year")),
|
||
"is_selected": await resolver.resolve("identify_status", row.get("is_selected")),
|
||
"clone_id": clone_id_val,
|
||
"rule_id": rule_id_val,
|
||
"from_stage": await resolver.resolve("breeding_stage", row.get("from_stage")),
|
||
"to_stage": await resolver.resolve("breeding_stage", row.get("to_stage")),
|
||
"approved_by": approved_by_val,
|
||
"trial_study_id": trial_study_id_val,
|
||
"reason": _none_if_blank(row.get("reason")),
|
||
"remark": _none_if_blank(row.get("remark")),
|
||
}
|
||
create_data = SelectionResultCreateSchema(**fields)
|
||
await self.create(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"批量导入选育结果失败: {e!s}")
|
||
raise CustomException(msg=f"导入失败: {e!s}")
|
||
|
||
@staticmethod
|
||
def import_template_download() -> bytes:
|
||
header_list = [
|
||
"杂交组合",
|
||
"单株",
|
||
"入选年份",
|
||
"选育结论",
|
||
"晋级无性系",
|
||
"选育规则",
|
||
"起始阶段",
|
||
"晋级阶段",
|
||
"审核人",
|
||
"试验研究点",
|
||
"入选理由",
|
||
"备注",
|
||
]
|
||
selector_header_list = ["选育结论", "起始阶段", "晋级阶段"]
|
||
option_list = [
|
||
{"选育结论": ["未知", "入选", "初选", "重点", "保存", "淘汰"]},
|
||
{"起始阶段": ["germplasm", "parent", "seedling", "sp", "ap", "line", "regional_trial", "released"]},
|
||
{"晋级阶段": ["germplasm", "parent", "seedling", "sp", "ap", "line", "regional_trial", "released"]},
|
||
]
|
||
return ExcelUtil.get_excel_template(
|
||
header_list=header_list,
|
||
selector_header_list=selector_header_list,
|
||
option_list=option_list,
|
||
) |