from typing import Any from fastapi import UploadFile from sqlalchemy.ext.asyncio import AsyncSession from app.core.base_schema import AuthSchema, PageResultSchema 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 from .crud import BreedingPlotCRUD, BreedingSiteCRUD from .schema import ( BreedingPlotCreateSchema, BreedingPlotOutSchema, BreedingPlotQueryParam, BreedingPlotUpdateSchema, BreedingSiteCreateSchema, BreedingSiteOutSchema, BreedingSiteQueryParam, BreedingSiteUpdateSchema, ) 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 # ── 基地(site) ─────────────────────────────────────────────────────── class BreedingSiteService: """基地管理模块服务层""" def __init__(self, auth: AuthSchema, db: AsyncSession) -> None: self.auth = auth self.db = db async def detail(self, id: int) -> BreedingSiteOutSchema: obj = await BreedingSiteCRUD(self.auth, self.db).get(id=id) if not obj: raise CustomException(msg="该基地不存在") return BreedingSiteOutSchema.model_validate(obj) async def get_list( self, search: BreedingSiteQueryParam | None = None, order_by: list[dict[str, str]] | None = None, ) -> list[BreedingSiteOutSchema]: obj_list = await BreedingSiteCRUD(self.auth, self.db).get_list( search=search_to_dict(search), order_by=order_by ) return [BreedingSiteOutSchema.model_validate(obj) for obj in obj_list] async def page( self, page_no: int, page_size: int, search: BreedingSiteQueryParam | None = None, order_by: list[dict[str, str]] | None = None, ) -> PageResultSchema[BreedingSiteOutSchema]: offset = (page_no - 1) * page_size return await BreedingSiteCRUD(self.auth, self.db).page( offset=offset, limit=page_size, order_by=order_by or [{"id": "asc"}], search=search_to_dict(search, {}), out_schema=BreedingSiteOutSchema, ) async def create(self, data: BreedingSiteCreateSchema) -> BreedingSiteOutSchema: exist_obj = await BreedingSiteCRUD(self.auth, self.db).get(site_name=data.site_name) if exist_obj: raise CustomException(msg="创建失败,基地名称已存在") obj = await BreedingSiteCRUD(self.auth, self.db).create(data=data) return BreedingSiteOutSchema.model_validate(obj) async def update(self, id: int, data: BreedingSiteUpdateSchema) -> BreedingSiteOutSchema: obj = await BreedingSiteCRUD(self.auth, self.db).get(id=id) if not obj: raise CustomException(msg="更新失败,该基地不存在") if data.site_name is not None: exist_obj = await BreedingSiteCRUD(self.auth, self.db).get(site_name=data.site_name) if exist_obj and exist_obj.id != id: raise CustomException(msg="更新失败,基地名称重复") obj = await BreedingSiteCRUD(self.auth, self.db).update(id=id, data=data) return BreedingSiteOutSchema.model_validate(obj) 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 BreedingSiteCRUD(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,该基地不存在") # 软删除基地前,先校验是否存在关联地块,避免产生孤儿数据 for id_ in ids: plot = await BreedingPlotCRUD(self.auth, self.db).get(site_id=id_) if plot: raise CustomException(msg="删除失败,请先删除该基地下的所有试验地块") await BreedingSiteCRUD(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 BreedingSiteCRUD(self.auth, self.db).get_list( order_by=[{"id": "asc"}] ) return [{"value": o.id, "label": o.site_name} for o in obj_list] @staticmethod def batch_export(obj_list: list[dict[str, Any]]) -> bytes: mapping_dict = { "id": "编号", "site_name": "基地名称", "address": "详细地址", "area": "基地面积(亩)", "longitude": "经度", "latitude": "纬度", "eco_type": "生态区类型", "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" return ExcelUtil.export_list2excel(list_data=data, mapping_dict=mapping_dict) async def batch_import(self, file: UploadFile, update_support: bool = False) -> str: header_dict = { "基地名称": "site_name", "详细地址": "address", "基地面积(亩)": "area", "经度": "longitude", "纬度": "latitude", "生态区类型": "eco_type", "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)}") mapped_rows = [] for row in rows: mapped_rows.append({en: row.get(ch) for ch, en in header_dict.items()}) required_fields = ["site_name"] 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 = BreedingSiteCRUD(self.auth, self.db) resolver = DictLabelResolver(self.auth, self.db, ["eco_type"]) for i, row in enumerate(mapped_rows, start=1): try: fields = { "site_name": str(row["site_name"]).strip(), "address": _none_if_blank(row.get("address")), "area": _to_float(row.get("area")), "longitude": _to_float(row.get("longitude")), "latitude": _to_float(row.get("latitude")), "eco_type": await resolver.resolve("eco_type", row.get("eco_type")), "remark": _none_if_blank(row.get("remark")), } create_data = BreedingSiteCreateSchema(**fields) exist_obj = await crud.get(site_name=create_data.site_name) if exist_obj: if update_support: await crud.update(id=exist_obj.id, data=BreedingSiteUpdateSchema(**fields)) success_count += 1 else: error_msgs.append(f"第{i}行: 基地名称 {create_data.site_name} 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 result = f"成功导入 {success_count} 条数据" if error_msgs: result += "\n错误信息:\n" + "\n".join(error_msgs) return result except Exception as e: logger.error(f"批量导入基地失败: {e!s}") raise CustomException(msg=f"导入失败: {e!s}") @staticmethod def import_template_download() -> bytes: header_list = [ "基地名称", "详细地址", "基地面积(亩)", "经度", "纬度", "生态区类型", "备注", ] selector_header_list: list[str] = [] option_list: list[dict[str, list[str]]] = [] return ExcelUtil.get_excel_template( header_list=header_list, selector_header_list=selector_header_list, option_list=option_list, ) # ── 试验地(plot) ────────────────────────────────────────────────────── class BreedingPlotService: """试验地管理模块服务层""" def __init__(self, auth: AuthSchema, db: AsyncSession) -> None: self.auth = auth self.db = db async def _attach_site_name(self, items: list[BreedingPlotOutSchema]) -> None: """批量填充 site_name(按 site_id 关联基地名称)。""" site_ids = {item.site_id for item in items if item.site_id} if not site_ids: return sites = await BreedingSiteCRUD(self.auth, self.db).get_list( search={"id": ("in", list(site_ids))} ) site_map = {s.id: s.site_name for s in sites} for item in items: item.site_name = site_map.get(item.site_id) async def detail(self, id: int) -> BreedingPlotOutSchema: obj = await BreedingPlotCRUD(self.auth, self.db).get(id=id) if not obj: raise CustomException(msg="该试验地块不存在") out = BreedingPlotOutSchema.model_validate(obj) await self._attach_site_name([out]) return out async def get_list( self, search: BreedingPlotQueryParam | None = None, order_by: list[dict[str, str]] | None = None, ) -> list[BreedingPlotOutSchema]: obj_list = await BreedingPlotCRUD(self.auth, self.db).get_list( search=search_to_dict(search), order_by=order_by ) outs = [BreedingPlotOutSchema.model_validate(obj) for obj in obj_list] await self._attach_site_name(outs) return outs async def page( self, page_no: int, page_size: int, search: BreedingPlotQueryParam | None = None, order_by: list[dict[str, str]] | None = None, ) -> PageResultSchema[BreedingPlotOutSchema]: offset = (page_no - 1) * page_size result = await BreedingPlotCRUD(self.auth, self.db).page( offset=offset, limit=page_size, order_by=order_by or [{"id": "asc"}], search=search_to_dict(search, {}), out_schema=BreedingPlotOutSchema, ) await self._attach_site_name(result.items) return result async def create(self, data: BreedingPlotCreateSchema) -> BreedingPlotOutSchema: site = await BreedingSiteCRUD(self.auth, self.db).get(id=data.site_id) if not site: raise CustomException(msg="创建失败,所属基地不存在") exist_obj = await BreedingPlotCRUD(self.auth, self.db).get( site_id=data.site_id, plot_code=data.plot_code ) if exist_obj: raise CustomException(msg="创建失败,该基地下地块编号已存在") obj = await BreedingPlotCRUD(self.auth, self.db).create(data=data) out = BreedingPlotOutSchema.model_validate(obj) out.site_name = site.site_name return out async def update(self, id: int, data: BreedingPlotUpdateSchema) -> BreedingPlotOutSchema: obj = await BreedingPlotCRUD(self.auth, self.db).get(id=id) if not obj: raise CustomException(msg="更新失败,该试验地块不存在") site_id = data.site_id if data.site_id is not None else obj.site_id if data.plot_code is not None: exist_obj = await BreedingPlotCRUD(self.auth, self.db).get( site_id=site_id, plot_code=data.plot_code ) if exist_obj and exist_obj.id != id: raise CustomException(msg="更新失败,该基地下地块编号重复") obj = await BreedingPlotCRUD(self.auth, self.db).update(id=id, data=data) out = BreedingPlotOutSchema.model_validate(obj) site = await BreedingSiteCRUD(self.auth, self.db).get(id=out.site_id) out.site_name = site.site_name if site else None 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 BreedingPlotCRUD(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,该试验地块不存在") await BreedingPlotCRUD(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 BreedingPlotCRUD(self.auth, self.db).get_list( order_by=[{"id": "asc"}] ) outs = [BreedingPlotOutSchema.model_validate(o) for o in obj_list] await self._attach_site_name(outs) return [{"value": o.id, "label": f"{o.site_name or ''}-{o.plot_code}"} for o in outs] @staticmethod def batch_export(obj_list: list[dict[str, Any]]) -> bytes: mapping_dict = { "id": "编号", "site_name": "所属基地", "plot_code": "地块编号/名称", "row_orientation": "行向", "row_count": "行数", "col_count": "每行株数", "grid_note": "株行距/网格说明", "area": "地块面积(亩)", "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) -> str: header_dict = { "所属基地": "site_name", "地块编号/名称": "plot_code", "行向": "row_orientation", "行数": "row_count", "每行株数": "col_count", "株行距/网格说明": "grid_note", "地块面积(亩)": "area", } 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)}") # 预加载基地名称→ID映射,供导入转换 site_name → site_id sites = await BreedingSiteCRUD(self.auth, self.db).get_list(order_by=[{"id": "asc"}]) site_name_to_id = {s.site_name: s.id for s in sites} mapped_rows = [] for row in rows: mapped_rows.append({en: row.get(ch) for ch, en in header_dict.items()}) required_fields = ["site_name", "plot_code"] 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 = BreedingPlotCRUD(self.auth, self.db) resolver = DictLabelResolver(self.auth, self.db, ["row_orientation"]) for i, row in enumerate(mapped_rows, start=1): try: site_name = str(row["site_name"]).strip() if site_name not in site_name_to_id: error_msgs.append(f"第{i}行: 基地名称 {site_name} 不存在") continue fields = { "site_id": site_name_to_id[site_name], "plot_code": str(row["plot_code"]).strip(), "row_orientation": await resolver.resolve("row_orientation", row.get("row_orientation")), "row_count": _to_int(row.get("row_count")), "col_count": _to_int(row.get("col_count")), "grid_note": _none_if_blank(row.get("grid_note")), "area": _to_float(row.get("area")), } create_data = BreedingPlotCreateSchema(**fields) exist_obj = await crud.get(site_id=create_data.site_id, plot_code=create_data.plot_code) if exist_obj: if update_support: await crud.update(id=exist_obj.id, data=BreedingPlotUpdateSchema(**fields)) success_count += 1 else: error_msgs.append(f"第{i}行: 基地 {site_name} 下地块 {create_data.plot_code} 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 result = f"成功导入 {success_count} 条数据" if error_msgs: result += "\n错误信息:\n" + "\n".join(error_msgs) return result except Exception as e: logger.error(f"批量导入试验地块失败: {e!s}") raise CustomException(msg=f"导入失败: {e!s}") @staticmethod def import_template_download() -> bytes: header_list = [ "所属基地", "地块编号/名称", "行向", "行数", "每行株数", "株行距/网格说明", "地块面积(亩)", ] selector_header_list = ["行向"] option_list = [{"行向": ["南北行", "东西行"]}] return ExcelUtil.get_excel_template( header_list=header_list, selector_header_list=selector_header_list, option_list=option_list, ) def _to_int(v: Any) -> int | None: if _is_blank(v): return None try: return int(float(v)) except (TypeError, ValueError): return None