Files
dpb/backend/app/api/v1/module_bre/tree/service.py
T
34047007@qq.com e937fc930c checkpoint: real-scale 数据链 + 统计引擎 + ABLUP 稀疏性能修复
init 后首次落盘,累计工作:
- 数据侧:simulate_breeding_data real-scale 3.5万树重建 + 分层观测
- 引擎侧:ABLUP 稀疏生产档 EM-REML(blup 1.6.0/1.7.0);性能倒挂修复——
  系谱闭包收口为 BFS 可达祖先 + N_EXACT 3000 对齐 N_SUBSAMPLE(选中 200~3000 树
  不再顶进数小时精确迹尾),A/B 数值等价实证 + 守卫探针
- 前端:观测过滤 + 表单/HTTP 工具链完善
- 文档:业务链/观测梳理 + 引擎实施记录 + 规划对照总表
- gitignore:排除 Temp/调试脚本/一次性验证输出
2026-08-07 08:03:10 +08:00

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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 BreedingTreeCRUD
from .model import TreeModel
from .schema import (
TreeCreateSchema,
TreeOutSchema,
TreeQueryParam,
TreeUpdateSchema,
)
from app.api.v1.module_bre.cross_combination.crud import BreedingCrossCombinationCRUD
from app.api.v1.module_bre.germplasm.crud import BreedingGermplasmCRUD
from app.api.v1.module_bre.germplasm.model import BreedingGermplasmModel
from app.api.v1.module_bre.clone.crud import BreedingCloneCRUD
from app.api.v1.module_bre.rootstock.crud import BreedingRootstockCRUD
from app.api.v1.module_bre.trial_study.crud import BreedingTrialStudyCRUD
from app.api.v1.module_bre.site.crud import BreedingPlotCRUD
from app.api.v1.module_bre.personnel.crud import BreedingPersonnelCRUD
from app.api.v1.module_bre.planting.crud import BreedingPlantingCRUD
from app.api.v1.module_bre.trial_study_entry.crud import BreedingTrialStudyEntryCRUD
from app.core.base_crud import assert_dict_values, assert_no_children, assert_parents_exist, assert_status_forward
from app.api.v1.module_bre.site.model import BreedingPlotModel
from app.api.v1.module_bre.cross_combination.model import CrossCombinationModel
from app.api.v1.module_bre.clone.model import CloneModel
from app.api.v1.module_bre.rootstock.model import RootstockModel
from app.api.v1.module_bre.trial_study.model import TrialStudyModel
from app.api.v1.module_bre.personnel.model import PersonnelModel
from app.api.v1.module_bre.planting.model import PlantingModel
from app.api.v1.module_bre.selection_result.model import SelectionResultModel
from app.api.v1.module_bre.trait_observation.model import TraitObservationModel
from app.api.v1.module_bre.tree_evaluation.model import TreeEvaluationModel
from app.api.v1.module_bre.tree_photo.model import TreePhotoModel
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 TreeService:
"""育种单株 模块服务层"""
def __init__(self, auth: AuthSchema, db: AsyncSession) -> None:
self.auth = auth
self.db = db
async def _resolve_parents(
self, combination_id: int | None, dam_id: int | None, sire_id: int | None
) -> tuple[int | None, int | None, str | None]:
"""母本/父本:未显式给出时从组合取 female/male 亲本;显式给出时校验种质存在且方向可用。
显式亲本与组合父母本不一致时返回警示文案(以显式为准,不阻断)。
"""
combo_dam = combo_sire = None
if combination_id is not None:
cc = await BreedingCrossCombinationCRUD(self.auth, self.db).get(id=combination_id)
if cc:
combo_dam = cc.female_parent_id
combo_sire = cc.male_parent_id
dam = dam_id if dam_id is not None else combo_dam
sire = sire_id if sire_id is not None else combo_sire
mismatches = []
if dam_id is not None and combo_dam is not None and dam_id != combo_dam:
mismatches.append("显式母本与组合母本不一致")
if sire_id is not None and combo_sire is not None and sire_id != combo_sire:
mismatches.append("显式父本与组合父本不一致")
warning = ("".join(mismatches) + "(以显式为准)") if mismatches else None
explicit = [
(dam_id, "can_be_female", "母本") if dam_id is not None else None,
(sire_id, "can_be_male", "父本") if sire_id is not None else None,
]
explicit = [e for e in explicit if e]
if explicit:
ids = {e[0] for e in explicit}
germs = await BreedingGermplasmCRUD(self.auth, self.db).get_list(search={"id": ("in", list(ids))})
germ_map = {g.id: g for g in germs}
for gid, flag, role in explicit:
g = germ_map.get(gid)
if not g:
raise CustomException(msg=f"种质不存在(id={gid}),无法作为{role}")
if not getattr(g, flag):
raise CustomException(msg=f"种质「{g.cultivar_name}」不可作{role}")
return dam, sire, warning
async def _attach_fk_labels(self, items: list[TreeOutSchema]) -> None:
if not items:
return
crud = BreedingTreeCRUD(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"))
germ_ids = {getattr(it, "dam_id") for it in items if getattr(it, "dam_id")}
germ_ids |= {getattr(it, "sire_id") for it in items if getattr(it, "sire_id")}
if germ_ids:
germs = await BreedingGermplasmCRUD(self.auth, self.db).get_list(search={"id": ("in", list(germ_ids))})
germ_map = {r.id: getattr(r, "cultivar_name") for r in germs}
for it in items:
it.dam_name = germ_map.get(getattr(it, "dam_id"))
it.sire_name = germ_map.get(getattr(it, "sire_id"))
plot_id_ids = {getattr(it, "plot_id") for it in items if getattr(it, "plot_id")}
if plot_id_ids:
refs = await BreedingPlotCRUD(self.auth, self.db).get_list(search={"id": ("in", list(plot_id_ids))})
ref_map = {r.id: getattr(r, "plot_code") for r in refs}
for it in items:
it.plot_name = ref_map.get(getattr(it, "plot_id"))
bre_personnel_id_ids = {getattr(it, "bre_personnel_id") for it in items if getattr(it, "bre_personnel_id")}
if bre_personnel_id_ids:
refs = await BreedingPersonnelCRUD(self.auth, self.db).get_list(search={"id": ("in", list(bre_personnel_id_ids))})
ref_map = {r.id: getattr(r, "name") for r in refs}
for it in items:
it.bre_personnel_name = ref_map.get(getattr(it, "bre_personnel_id"))
planting_id_ids = {getattr(it, "planting_id") for it in items if getattr(it, "planting_id")}
if planting_id_ids:
refs = await BreedingPlantingCRUD(self.auth, self.db).get_list(search={"id": ("in", list(planting_id_ids))})
ref_map = {r.id: (getattr(r, "planting_date") or f"定植#{r.id}") for r in refs}
for it in items:
it.planting_name = ref_map.get(getattr(it, "planting_id"))
study_ids = {getattr(it, "trial_study_id") for it in items if getattr(it, "trial_study_id")}
if study_ids:
refs = await BreedingTrialStudyCRUD(self.auth, self.db).get_list(search={"id": ("in", list(study_ids))})
ref_map = {r.id: getattr(r, "study_name") for r in refs}
for it in items:
it.study_name = ref_map.get(getattr(it, "trial_study_id"))
rootstock_ids = {getattr(it, "rootstock_id") for it in items if getattr(it, "rootstock_id")}
if rootstock_ids:
refs = await BreedingRootstockCRUD(self.auth, self.db).get_list(search={"id": ("in", list(rootstock_ids))})
ref_map = {r.id: getattr(r, "rootstock_name") for r in refs}
for it in items:
it.rootstock_name = ref_map.get(getattr(it, "rootstock_id"))
clone_ids = {getattr(it, "clone_id") for it in items if getattr(it, "clone_id")}
if clone_ids:
refs = await BreedingCloneCRUD(self.auth, self.db).get_list(search={"id": ("in", list(clone_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"))
germ_ids = {getattr(it, "germplasm_id") for it in items if getattr(it, "germplasm_id")}
if germ_ids:
germs = await BreedingGermplasmCRUD(self.auth, self.db).get_list(search={"id": ("in", list(germ_ids))})
germ_map = {r.id: getattr(r, "cultivar_name") for r in germs}
for it in items:
it.germplasm_name = germ_map.get(getattr(it, "germplasm_id"))
entry_ids = {getattr(it, "entry_id") for it in items if getattr(it, "entry_id")}
if entry_ids:
entries = await BreedingTrialStudyEntryCRUD(self.auth, self.db).get_list(search={"id": ("in", list(entry_ids))})
entry_map = {r.id: getattr(r, "entry_number") for r in entries}
for it in items:
it.entry_number = entry_map.get(getattr(it, "entry_id"))
async def detail(self, id: int) -> TreeOutSchema:
obj = await BreedingTreeCRUD(self.auth, self.db).get(id=id)
if not obj:
raise CustomException(msg="该育种单株不存在")
out = TreeOutSchema.model_validate(obj)
await self._attach_fk_labels([out])
return out
async def get_list(
self,
search: TreeQueryParam | None = None,
order_by: list[dict[str, str]] | None = None,
) -> list[TreeOutSchema]:
obj_list = await BreedingTreeCRUD(self.auth, self.db).get_list(
search=search_to_dict(search), order_by=order_by
)
outs = [TreeOutSchema.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: TreeQueryParam | None = None,
order_by: list[dict[str, str]] | None = None,
) -> PageResultSchema[TreeOutSchema]:
offset = (page_no - 1) * page_size
result = await BreedingTreeCRUD(self.auth, self.db).page(
offset=offset,
limit=page_size,
order_by=order_by or [{"id": "asc"}],
search=search_to_dict(search, {}),
out_schema=TreeOutSchema,
)
await self._attach_fk_labels(result.items)
return result
async def _gen_tree_no(self, combination_id: int) -> str:
"""自动生成单株编号:{组合编号}-{两位序号}(如 26001-01),原子取号。"""
cc = await BreedingCrossCombinationCRUD(self.auth, self.db).get(id=combination_id)
base = (cc.combination_code or f"C{combination_id}") if cc else f"C{combination_id}"
async def _seed() -> int | None:
crud = BreedingTreeCRUD(self.auth, self.db)
objs = await crud.get_list(search={"combination_id": ("eq", combination_id)})
max_seq = 0
for o in objs:
tail = (o.tree_no or "").rsplit("-", 1)[-1]
if tail.isdigit():
max_seq = max(max_seq, int(tail))
return max_seq + 1
seq = await NumberGenService(self.db).next_seq(f"tree:{combination_id}", seed_fn=_seed)
return f"{base}-{seq:02d}"
async def _derive_from_planting(self, planting_id: int | None, fields: dict[str, Any]) -> None:
"""单写点派生:试验/区组/参试条目以定植记录为准,覆盖写入单株。"""
if not planting_id:
return
planting = await BreedingPlantingCRUD(self.auth, self.db).get(id=planting_id)
if not planting:
return
for col in ("trial_study_id", "block_no", "entry_id"):
val = getattr(planting, col, None)
if val is not None:
fields[col] = val
async def create(self, data: TreeCreateSchema) -> TreeOutSchema:
fields = data.model_dump(exclude_none=True)
if _is_blank(fields.get("tree_no")):
fields["tree_no"] = await self._gen_tree_no(fields["combination_id"])
# 育种阶段自动设置:F 代/回交杂种实生苗 → seedling(童期),亲本/成株由调用方显式给
if _is_blank(fields.get("stage")):
gen = str(fields.get("generation") or "").strip().upper()
if gen in ("F1", "F2", "BC1", "BC2", "BC3"):
fields["stage"] = "seedling"
fields["dam_id"], fields["sire_id"], parent_warning = await self._resolve_parents(
fields.get("combination_id"), fields.get("dam_id"), fields.get("sire_id")
)
await self._derive_from_planting(fields.get("planting_id"), fields)
data = TreeCreateSchema(**fields)
exist_obj = await BreedingTreeCRUD(self.auth, self.db).get(tree_no=data.tree_no)
if exist_obj:
raise CustomException(msg="创建失败,单株编号已存在")
await assert_parents_exist(
self.db,
[
(CrossCombinationModel, data.combination_id, '杂交组合'),
(TrialStudyModel, data.trial_study_id, '试验执行'),
(CloneModel, data.clone_id, '无性系'),
(RootstockModel, data.rootstock_id, '砧木'),
(BreedingPlotModel, data.plot_id, '试验地块'),
(PlantingModel, data.planting_id, '定植'),
(PersonnelModel, data.bre_personnel_id, '育种人员'),
],
)
await assert_dict_values(
self.db,
[
('row_orientation', data.row_orientation, '行向'),
('tree_status', data.status, '单株状态'),
('breeding_stage', data.stage, '育种阶段'),
('breeding_generation', data.generation, '世代'),
],
)
obj = await BreedingTreeCRUD(self.auth, self.db).create(data=data)
out = TreeOutSchema.model_validate(obj)
if parent_warning:
out.warning = parent_warning
await self._attach_fk_labels([out])
return out
async def update(self, id: int, data: TreeUpdateSchema) -> TreeOutSchema:
obj = await BreedingTreeCRUD(self.auth, self.db).get(id=id)
if not obj:
raise CustomException(msg="更新失败,该育种单株不存在")
if data.tree_no is not None:
exist_obj = await BreedingTreeCRUD(self.auth, self.db).get(tree_no=data.tree_no)
if exist_obj and exist_obj.id != id:
raise CustomException(msg="更新失败,单株编号重复")
await assert_parents_exist(
self.db,
[
(CrossCombinationModel, data.combination_id, '杂交组合'),
(TrialStudyModel, data.trial_study_id, '试验执行'),
(CloneModel, data.clone_id, '无性系'),
(RootstockModel, data.rootstock_id, '砧木'),
(BreedingPlotModel, data.plot_id, '试验地块'),
(PlantingModel, data.planting_id, '定植'),
(PersonnelModel, data.bre_personnel_id, '育种人员'),
],
)
await assert_dict_values(
self.db,
[
('row_orientation', data.row_orientation, '行向'),
('tree_status', data.status, '单株状态'),
('breeding_stage', data.stage, '育种阶段'),
('breeding_generation', data.generation, '世代'),
],
)
await assert_status_forward(self.db, "tree_status", [obj.status], data.status, "单株状态")
# 母本/父本:显式给出则校验;否则随当前(新)组合自动派生
eff_combo = data.combination_id if data.combination_id is not None else obj.combination_id
dam, sire, parent_warning = await self._resolve_parents(eff_combo, data.dam_id, data.sire_id)
data = data.model_copy(update={"dam_id": dam, "sire_id": sire})
# 单写点派生:定植记录持有试验/区组/参试条目
eff_planting = data.planting_id if data.planting_id is not None else obj.planting_id
if data.planting_id is not None or obj.planting_id is not None:
fields = dict(data.model_dump(exclude_none=True))
await self._derive_from_planting(eff_planting, fields)
if any(fields.get(c) != getattr(obj, c) for c in ("trial_study_id", "block_no", "entry_id")):
data = TreeUpdateSchema(**fields)
obj = await BreedingTreeCRUD(self.auth, self.db).update(id=id, data=data)
out = TreeOutSchema.model_validate(obj)
if parent_warning:
out.warning = parent_warning
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 BreedingTreeCRUD(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,该育种单株不存在")
await assert_no_children(
self.db,
ids,
[
(TreeEvaluationModel, 'tree_id', '单株评价'),
(TreePhotoModel, 'tree_id', '单株照片'),
(SelectionResultModel, 'tree_id', '选择结果'),
(TraitObservationModel, 'tree_id', '性状观测'),
],
)
await BreedingTreeCRUD(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}]。只取 id/tree_no 两列,避免全表列加载拖慢下拉。"""
obj_list = await BreedingTreeCRUD(self.auth, self.db).get_list(
order_by=[{"id": "asc"}], load_columns=[TreeModel.id, TreeModel.tree_no]
)
return [{"value": o.id, "label": o.tree_no} for o in obj_list]
@staticmethod
def batch_export(obj_list: list[dict[str, Any]]) -> bytes:
mapping_dict = {
"combination_name": "杂交组合",
"plot_name": "试验地块/位置",
"planting_name": "来源定植批次",
"tree_no": "单株编号",
"row_orientation": "行向",
"row_no": "行数",
"col_no": "列数",
"planted_date": "定植时间",
"bre_personnel_name": "责任人",
"status": "状态",
"stage": "育种阶段",
"generation": "世代",
"germplasm_name": "关联种质",
"entry_number": "参试编号",
"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["row_orientation"] = dict_value_to_label("row_orientation", item.get("row_orientation"))
item["status"] = dict_value_to_label("tree_status", item.get("status"))
item["stage"] = dict_value_to_label("breeding_stage", item.get("stage"))
item["generation"] = dict_value_to_label("breeding_generation", item.get("generation"))
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",
"试验地块/位置": "plot_id",
"来源定植批次": "planting_id",
"单株编号": "tree_no",
"行向": "row_orientation",
"行数": "row_no",
"列数": "col_no",
"定植时间": "planted_date",
"责任人": "bre_personnel_id",
"状态": "status",
"育种阶段": "stage",
"世代": "generation",
"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}
combination_parents_map = {
r.id: (getattr(r, "female_parent_id"), getattr(r, "male_parent_id")) for r in combination_id_refs
}
plot_id_refs = await BreedingPlotCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
plot_id_map = {getattr(r, "plot_code"): r.id for r in plot_id_refs}
bre_personnel_id_refs = await BreedingPersonnelCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
bre_personnel_id_map = {getattr(r, "name"): r.id for r in bre_personnel_id_refs}
planting_id_refs = await BreedingPlantingCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}])
planting_id_map = {str(getattr(r, "planting_date") or r.id): r.id for r in planting_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_no"]
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 = BreedingTreeCRUD(self.auth, self.db)
resolver = DictLabelResolver(
self.auth, self.db,
["row_orientation", "tree_status", "breeding_stage", "breeding_generation"],
)
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
plot_id_val = plot_id_map.get(str(row.get("plot_id")).strip()) if not _is_blank(row.get("plot_id")) else None
planting_id_val = planting_id_map.get(str(row.get("planting_id")).strip()) if not _is_blank(row.get("planting_id")) else None
bre_personnel_id_val = bre_personnel_id_map.get(str(row.get("bre_personnel_id")).strip()) if not _is_blank(row.get("bre_personnel_id")) else None
combo_parents = combination_parents_map.get(combination_id_val, (None, None))
fields = {
"combination_id": combination_id_val,
"dam_id": combo_parents[0],
"sire_id": combo_parents[1],
"plot_id": plot_id_val,
"planting_id": planting_id_val,
"tree_no": _none_if_blank(row.get("tree_no")),
"row_orientation": await resolver.resolve("row_orientation", row.get("row_orientation")),
"row_no": _to_int(row.get("row_no")),
"col_no": _to_int(row.get("col_no")),
"planted_date": _none_if_blank(row.get("planted_date")),
"bre_personnel_id": bre_personnel_id_val,
"status": await resolver.resolve("tree_status", row.get("status")),
"stage": await resolver.resolve("breeding_stage", row.get("stage")),
"generation": await resolver.resolve("breeding_generation", row.get("generation")),
"remark": _none_if_blank(row.get("remark")),
}
unique_kwargs = {"tree_no": fields["tree_no"]}
create_data = TreeCreateSchema(**fields)
exist_obj = await crud.get(**unique_kwargs)
if exist_obj:
if update_support:
await crud.update(id=exist_obj.id, data=TreeUpdateSchema(**fields))
success_count += 1
else:
error_msgs.append(f"第{i}行: 单株编号 {fields['tree_no']} 已存在")
else:
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"批量导入育种单株失败: {e!s}")
raise CustomException(msg=f"导入失败: {e!s}")
@staticmethod
def import_template_download() -> bytes:
header_list = [
"杂交组合",
"试验地块/位置",
"来源定植批次",
"单株编号",
"行向",
"行数",
"列数",
"定植时间",
"责任人",
"状态",
"育种阶段",
"世代",
"备注",
]
selector_header_list = ["行向", "状态", "育种阶段", "世代"]
option_list = [
{"行向": ["南北行", "东西行"]},
{"状态": ["存活", "入选", "初选", "重点", "保存", "淘汰"]},
{"育种阶段": ["种质", "亲本", "实生苗", "初选株", "复选株", "品系", "区试品系", "新品种"]},
{"世代": ["F1", "F2", "BC1", "BC2", "BC3"]},
]
return ExcelUtil.get_excel_template(
header_list=header_list,
selector_header_list=selector_header_list,
option_list=option_list,
)