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
2026-08-06 00:17:49 +08:00
commit b95053c52c
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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 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:
"""'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_pedigreechild_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}")
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"{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,
)