104 lines
4.1 KiB
Python
104 lines
4.1 KiB
Python
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"""导入 Excel 时把中文 dict_label 翻译为 sys_dict 的英码 dict_value。
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背景：breeding 模块的枚举字段在方案 B 下统一以英码(dict_value)落库、以中文(dict_label)
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展示。Excel 模板里用户填的是中文 label，写入前必须经 sys_dict 翻译为英码，否则库里会混进
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中文、与字典对不齐，下拉/回显也会错乱。
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本解析器按 auth+db 直接查 sys_dict_data（带 label->value 缓存，单次导入只查一次），
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避免了 redis 依赖、也无需改动 import 控制器。
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"""
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from __future__ import annotations
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from typing import Any
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.base_schema import AuthSchema
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from app.core.exceptions import CustomException
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_value2label_cache: dict[str, dict[str, str]] | None = None
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def dict_value_to_label(dict_type: str, value: Any) -> Any:
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"""把英码 dict_value 翻译为中文 dict_label（导出用）。
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与 DictLabelResolver 方向相反：导出时把库内的英码还原为中文，便于用户阅读；
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值空或无法识别时原样返回，保证"导出的文件再导入"仍可解析。
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使用同步引擎读取 sys_dict_data 并进程内缓存，避免每次导出都查库。
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"""
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if value is None:
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return value
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text = str(value)
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if text == "":
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return value
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global _value2label_cache
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if _value2label_cache is None:
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from sqlalchemy import select
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from app.api.v1.module_system.dict.model import DictDataModel
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from app.core.database import db_session
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mapping: dict[str, dict[str, str]] = {}
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with db_session() as session:
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rows = session.execute(
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select(DictDataModel.dict_type, DictDataModel.dict_value, DictDataModel.dict_label)
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.where(DictDataModel.is_deleted.is_(False))
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).all()
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for dt, dv, dl in rows:
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mapping.setdefault(dt, {})[dv] = dl
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_value2label_cache = mapping
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return _value2label_cache.get(dict_type, {}).get(text, value)
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class DictLabelResolver:
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"""把一组字典类型的中文 label 解析为英码 value，支持批量复用。"""
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def __init__(self, auth: AuthSchema, db: AsyncSession, dict_types: list[str]) -> None:
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self._auth = auth
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self._db = db
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self._dict_types = dict_types
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self._loaded = False
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# dict_type -> {label: value}
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self._label2value: dict[str, dict[str, str]] = {}
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# dict_type -> {value} (支持再导入"导出文件"——文件里已是英码)
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self._values: dict[str, set[str]] = {}
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async def _ensure_loaded(self) -> None:
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if self._loaded:
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return
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from app.api.v1.module_system.dict.crud import DictDataCRUD
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crud = DictDataCRUD(self._auth, self._db)
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for dt in self._dict_types:
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rows = await crud.get_list(search={"dict_type": dt})
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self._label2value[dt] = {row.dict_label: row.dict_value for row in rows}
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self._values[dt] = {row.dict_value for row in rows}
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self._loaded = True
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async def resolve(self, dict_type: str, label: Any, *, required: bool = True) -> Any:
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"""把中文 label 解析为英码 value；空值返回 None，已为英码则原样返回。
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Args:
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dict_type: 字典类型，如 "cross_method"
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label: Excel 单元格原始值（可能为中文 label，也可能已是英码）
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required: 非空白且无法识别时是否抛错（默认 True，便于发现脏数据）
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"""
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if label is None:
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return None
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text = str(label).strip()
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if text == "":
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return None
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await self._ensure_loaded()
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mapping = self._label2value.get(dict_type, {})
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if text in mapping:
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return mapping[text]
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if text in self._values.get(dict_type, set()):
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# 已是英码（如重新导入导出的文件），直接落库
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return text
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if required:
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raise CustomException(
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msg=f"字典类型「{dict_type}」中不存在标签或编码「{text}」，请核对导入模板"
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)
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return text
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