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, )