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dpb/backend/app/scripts/initialize.py
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import json
import secrets
from typing import Any
from sqlalchemy import func, select
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.v1.module_system.dept.model import DeptModel
from app.api.v1.module_system.dict.model import DictDataModel, DictTypeModel
from app.api.v1.module_system.menu.model import MenuModel
from app.api.v1.module_system.params.model import ParamsModel
from app.api.v1.module_system.role.model import RoleModel
from app.api.v1.module_bre.germplasm.model import BreedingGermplasmModel
from app.api.v1.module_system.user.model import UserModel, UserRolesModel
from app.api.v1.module_system.versions.model import VersionModel
from app.common.enums import EnvironmentEnum
from app.config.path_conf import LOG_DIR, SCRIPT_DIR
from app.config.setting import settings
from app.core.database import async_db_session, check_db, create_tables
from app.core.logger import logger
from app.utils.password_util import PwdUtil
class InitializeData:
"""初始化数据库和基础数据"""
# 按依赖关系排序:先基础表,再关联表
prepare_init_models: list[type] = [
MenuModel,
DeptModel,
ParamsModel,
RoleModel,
DictTypeModel,
DictDataModel,
UserModel,
UserRolesModel,
VersionModel,
BreedingGermplasmModel,
]
# 树形模型:JSON 含嵌套 children,需递归创建对象
_RECURSIVE_TABLES: set[str] = {"sys_menu", "sys_dept"}
async def init_db(self) -> None:
"""建表并导入种子数据"""
await check_db()
# await drop_tables()
await create_tables()
async with async_db_session() as session, session.begin():
await self.__init_data(session)
async def __init_data(self, db: AsyncSession) -> None:
"""按依赖顺序初始化各表种子数据"""
dict_type_mapping: dict[str, Any] = {}
for model in self.prepare_init_models:
table_name = model.__tablename__
data = await self.__load_json(table_name)
if not data:
logger.info(f"⏭️ 跳过 {table_name} 表,无初始化数据")
continue
# 已有数据则跳过
count = await db.execute(select(func.count()).select_from(model))
if count.scalar():
logger.info(f"⏭️ 跳过 {table_name} 表数据初始化(表已有数据)")
continue
try:
if table_name in self._RECURSIVE_TABLES:
objs = self.__create_objects_with_children(data, model)
elif table_name == "sys_dict_type":
objs = []
for item in data:
obj = model(**item)
objs.append(obj)
dict_type_mapping[item["dict_type"]] = obj
elif table_name == "sys_dict_data":
objs = []
for item in data:
dict_type_str = item.get("dict_type")
if dict_type_str not in dict_type_mapping:
logger.warning(f"⚠️ 未找到字典类型 {dict_type_str},跳过")
continue
item["dict_type_id"] = dict_type_mapping[dict_type_str].id
objs.append(model(**item))
else:
# 生产首次初始化:把仓库内置的固定种子密码(如 123456)随机化,防止已知密码登录
if settings.ENVIRONMENT == EnvironmentEnum.PROD and table_name == "sys_user":
self._randomize_seed_passwords(data)
objs = [model(**item) for item in data]
if objs:
db.add_all(objs)
await db.flush()
logger.info(f"✅️ 已向 {table_name} 写入初始化数据")
else:
logger.info(f"⏭️ 跳过 {table_name} 表数据初始化(无有效数据)")
except Exception:
logger.error(f"❌️ 初始化 {table_name} 表数据失败")
raise
def _randomize_seed_passwords(self, data: list[dict]) -> None:
"""生产环境首次初始化时,把种子账号的固定弱密码替换为随机值。
仓库内 sys_user.json 携带对所有部署相同的初始密码(如 123456),
直接使用会让任何未改密的实例可被已知密码直接登录。生产初始化时随机化,
一次性初始密码写入日志目录文件,供运维首次登录使用;登录修改后务必删除该文件。
"""
creds: list[str] = []
for item in data:
if not item.get("password"):
continue
raw = secrets.token_urlsafe(18)
item["password"] = PwdUtil.hash_password(raw)
creds.append(f"{item.get('username')}={raw}")
if not creds:
return
try:
LOG_DIR.mkdir(parents=True, exist_ok=True)
note = LOG_DIR / "prod_initial_passwords.txt"
note.write_text(
"生产环境首次初始化种子账号随机初始密码(登录后请修改并删除本文件):\n"
+ "\n".join(creds)
+ "\n",
encoding="utf-8",
)
logger.warning(
"⚠️ 生产初始化已为种子账号生成随机初始密码,已写入 {},请立即登录修改:{}",
note,
"".join(creds),
)
except Exception as e:
logger.error("生成种子初始密码失败: {}", e)
@staticmethod
def __create_objects_with_children(data: list[dict], model_class: type) -> list:
"""递归创建树形模型实例,处理嵌套 children 并注入 parent_id"""
def _create(obj_data: dict) -> Any:
children_data = obj_data.pop("children", [])
obj = model_class(**obj_data)
# 子节点通过 relationship 自动设置 parent_id
if children_data:
obj.children = [_create(child) for child in children_data]
return obj
return [_create(item) for item in data]
async def __load_json(self, filename: str) -> list[dict]:
"""读取并解析种子数据 JSON 文件"""
json_path = SCRIPT_DIR / f"{filename}.json"
if not json_path.exists():
return []
try:
with open(json_path, encoding="utf-8") as f:
return json.load(f)
except json.JSONDecodeError as e:
logger.error(f"❌️ 解析 {json_path} 失败: {e!s}")
raise
except Exception as e:
logger.error(f"❌️ 读取 {json_path} 失败: {e!s}")
raise