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.dict_util import DictLabelResolver from app.utils.excel_util import ExcelUtil from .crud import BreedingFieldOperationCRUD from .schema import ( FieldOperationCreateSchema, FieldOperationOutSchema, FieldOperationQueryParam, FieldOperationUpdateSchema, ) from app.core.base_crud import assert_parents_exist from app.api.v1.module_bre.tree.crud import BreedingTreeCRUD from app.api.v1.module_bre.tree.model import TreeModel from app.api.v1.module_bre.site.crud import BreedingPlotCRUD, BreedingSiteCRUD from app.api.v1.module_bre.site.model import BreedingPlotModel from app.api.v1.module_bre.personnel.crud import BreedingPersonnelCRUD from app.api.v1.module_bre.personnel.model import PersonnelModel from app.api.v1.module_bre.trait.crud import BreedingTraitCRUD from app.api.v1.module_bre.trait_observation.crud import BreedingTraitObservationCRUD from app.api.v1.module_bre.trait_observation.schema import ( TraitObservationCreateSchema, TraitObservationUpdateSchema, ) 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_int(v: Any) -> int | None: if _is_blank(v): return None try: return int(float(v)) except (TypeError, ValueError): return None class FieldOperationService: """农事操作 模块服务层""" # 采收产量构成 → 统计性状编码映射（bre_yield_phenology_traits.sql 种子） _HARVEST_TRAIT_CODES = { "yield_kg": "single_tree_yield", "fruit_count": "fruit_number", "avg_fruit_weight": "avg_fruit_weight", "marketable_rate": "marketable_rate", } def __init__(self, auth: AuthSchema, db: AsyncSession) -> None: self.auth = auth self.db = db async def _sync_harvest_to_trait_observation(self, obj: FieldOperationOutSchema) -> None: """采收(op_type=harvest)结构化产量 → 同步写统计性状观测(bre_trait_observation)。 仅单株(tree_id)级采收同步（树级统计入口）；小区级采收只留 field_operation 记录。 以 (tree_id, trait_id, evaluate_year) 幂等 upsert：同年重复采收覆盖值。 """ if not obj.op_type or obj.op_type != "harvest" or not obj.tree_id: return values = [ (code, getattr(obj, field)) for field, code in self._HARVEST_TRAIT_CODES.items() if getattr(obj, field) is not None ] if not values: return year = obj.op_date.year if obj.op_date else None to_crud = BreedingTraitObservationCRUD(self.auth, self.db) for code, value in values: traits = await BreedingTraitCRUD(self.auth, self.db).get_list(search={"trait_code": ("eq", code)}) if not traits: continue trait = traits[0] existing = await to_crud.get(tree_id=obj.tree_id, trait_id=trait.id, evaluate_year=year) payload: dict[str, Any] = {"value_numeric": float(value), "stage": "evaluation"} if year is not None: payload["evaluate_year"] = year if existing: await to_crud.update(id=existing.id, data=TraitObservationUpdateSchema(**payload)) else: create = {"tree_id": obj.tree_id, "trait_id": trait.id} create.update(payload) await to_crud.create(data=TraitObservationCreateSchema(**create)) async def _attach_fk_labels(self, items: list[FieldOperationOutSchema]) -> None: if not items: return tree_ids = {getattr(it, "tree_id") for it in items if getattr(it, "tree_id")} if tree_ids: refs = await BreedingTreeCRUD(self.auth, self.db).get_list(search={"id": ("in", list(tree_ids))}) ref_map = {r.id: getattr(r, "tree_no") for r in refs} for it in items: it.tree_no = ref_map.get(getattr(it, "tree_id")) plot_ids = {getattr(it, "plot_id") for it in items if getattr(it, "plot_id")} if plot_ids: plot_refs = await BreedingPlotCRUD(self.auth, self.db).get_list(search={"id": ("in", list(plot_ids))}) plot_map = {r.id: r for r in plot_refs} site_ids = {getattr(r, "site_id") for r in plot_map.values()} site_refs = await BreedingSiteCRUD(self.auth, self.db).get_list(search={"id": ("in", list(site_ids))}) site_map = {r.id: getattr(r, "site_name") for r in site_refs} for it in items: plot = plot_map.get(getattr(it, "plot_id")) if plot: it.plot_label = f"{site_map.get(plot.site_id) or ''}-{plot.plot_code}" operator_ids = {getattr(it, "operator_id") for it in items if getattr(it, "operator_id")} if operator_ids: refs = await BreedingPersonnelCRUD(self.auth, self.db).get_list(search={"id": ("in", list(operator_ids))}) ref_map = {r.id: getattr(r, "name") for r in refs} for it in items: it.operator_name = ref_map.get(getattr(it, "operator_id")) async def detail(self, id: int) -> FieldOperationOutSchema: obj = await BreedingFieldOperationCRUD(self.auth, self.db).get(id=id) if not obj: raise CustomException(msg="该农事操作不存在") out = FieldOperationOutSchema.model_validate(obj) await self._attach_fk_labels([out]) return out async def get_list( self, search: FieldOperationQueryParam | None = None, order_by: list[dict[str, str]] | None = None, ) -> list[FieldOperationOutSchema]: obj_list = await BreedingFieldOperationCRUD(self.auth, self.db).get_list( search=search_to_dict(search), order_by=order_by ) outs = [FieldOperationOutSchema.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: FieldOperationQueryParam | None = None, order_by: list[dict[str, str]] | None = None, ) -> PageResultSchema[FieldOperationOutSchema]: offset = (page_no - 1) * page_size result = await BreedingFieldOperationCRUD(self.auth, self.db).page( offset=offset, limit=page_size, order_by=order_by or [{"id": "asc"}], search=search_to_dict(search, {}), out_schema=FieldOperationOutSchema, ) await self._attach_fk_labels(result.items) return result async def create(self, data: FieldOperationCreateSchema) -> FieldOperationOutSchema: if _is_blank(data.op_type): raise CustomException(msg="操作类型不能为空") await assert_parents_exist( self.db, [ (TreeModel, data.tree_id, '单株'), (BreedingPlotModel, data.plot_id, '小区'), (PersonnelModel, data.operator_id, '育种人员'), ], ) obj = await BreedingFieldOperationCRUD(self.auth, self.db).create(data=data) out = FieldOperationOutSchema.model_validate(obj) await self._sync_harvest_to_trait_observation(out) await self._attach_fk_labels([out]) return out async def update(self, id: int, data: FieldOperationUpdateSchema) -> FieldOperationOutSchema: obj = await BreedingFieldOperationCRUD(self.auth, self.db).get(id=id) if not obj: raise CustomException(msg="更新失败，该农事操作不存在") await assert_parents_exist( self.db, [ (TreeModel, data.tree_id, '单株'), (BreedingPlotModel, data.plot_id, '小区'), (PersonnelModel, data.operator_id, '育种人员'), ], ) obj = await BreedingFieldOperationCRUD(self.auth, self.db).update(id=id, data=data) out = FieldOperationOutSchema.model_validate(obj) await self._sync_harvest_to_trait_observation(out) 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 BreedingFieldOperationCRUD(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，该农事操作不存在") await BreedingFieldOperationCRUD(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 BreedingFieldOperationCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}]) return [{"value": o.id, "label": o.op_type} for o in obj_list] @staticmethod def batch_export(obj_list: list[dict[str, Any]]) -> bytes: mapping_dict = { "tree_no": "单株", "plot_label": "小区", "op_type": "操作类型", "op_date": "操作日期", "op_detail": "操作详情", "operator_name": "操作人", "remark": "备注", "status": "状态", "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" 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 = { "单株": "tree_id", "小区": "plot_id", "操作类型": "op_type", "操作日期": "op_date", "操作详情": "op_detail", "操作人": "operator_id", "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)}") tree_refs = await BreedingTreeCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}]) tree_map = {getattr(r, "tree_no"): r.id for r in tree_refs} plot_refs = await BreedingPlotCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}]) site_ids = {getattr(r, "site_id") for r in plot_refs} site_refs = await BreedingSiteCRUD(self.auth, self.db).get_list(search={"id": ("in", list(site_ids))}) if site_ids else [] site_map = {r.id: getattr(r, "site_name") for r in site_refs} plot_map = {f"{site_map.get(r.site_id) or ''}-{r.plot_code}": r.id for r in plot_refs} operator_refs = await BreedingPersonnelCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}]) operator_map = {getattr(r, "name"): r.id for r in operator_refs} error_msgs: list[str] = [] success_count = 0 crud = BreedingFieldOperationCRUD(self.auth, self.db) resolver = DictLabelResolver(self.auth, self.db, ["field_operation"]) for i, row in enumerate(rows, start=1): try: fields = { "tree_id": tree_map.get(str(row.get("tree_id")).strip()) if not _is_blank(row.get("tree_id")) else None, "plot_id": plot_map.get(str(row.get("plot_id")).strip()) if not _is_blank(row.get("plot_id")) else None, "op_type": await resolver.resolve("field_operation", row.get("op_type")), "op_date": _none_if_blank(row.get("op_date")), "op_detail": _none_if_blank(row.get("op_detail")), "operator_id": operator_map.get(str(row.get("operator_id")).strip()) if not _is_blank(row.get("operator_id")) else None, "remark": _none_if_blank(row.get("remark")), } create_data = FieldOperationCreateSchema(**fields) 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"批量导入农事操作失败: {e!s}") raise CustomException(msg=f"导入失败: {e!s}") @staticmethod def import_template_download() -> bytes: header_list = [ "单株", "小区", "操作类型", "操作日期", "操作详情", "操作人", "备注", ] selector_header_list = ["操作类型"] option_list = [{"操作类型": ["施肥", "喷药", "修剪", "灌溉", "疏果", "套袋", "采收"]}] return ExcelUtil.get_excel_template( header_list=header_list, selector_header_list=selector_header_list, option_list=option_list, )