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后端源码/yifan.action-ai.cn/api-bak/app/scripts/__init__.py
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2
后端源码/yifan.action-ai.cn/api-bak/app/scripts/__init__.py
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# -*- coding: utf-8 -*-
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后端源码/yifan.action-ai.cn/api-bak/app/scripts/initialize.py
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后端源码/yifan.action-ai.cn/api-bak/app/scripts/initialize.py
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# -*- coding: utf-8 -*-
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import asyncio
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import json
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from sqlalchemy import select, func
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.config.path_conf import SCRIPT_DIR
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from app.core.logger import log
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from app.core.database import async_db_session, async_engine
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from app.core.base_model import MappedBase
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from app.api.v1.module_system.user.model import UserModel, UserRolesModel
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from app.api.v1.module_system.role.model import RoleModel
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from app.api.v1.module_system.dept.model import DeptModel
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from app.api.v1.module_system.menu.model import MenuModel
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from app.api.v1.module_system.params.model import ParamsModel
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from app.api.v1.module_system.dict.model import DictTypeModel, DictDataModel
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class InitializeData:
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"""
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初始化数据库和基础数据
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"""
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def __init__(self) -> None:
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"""
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初始化数据库和基础数据
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"""
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# 按照依赖关系排序：先创建基础表，再创建关联表
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self.prepare_init_models = [
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MenuModel,
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ParamsModel,
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DeptModel,
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RoleModel,
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DictTypeModel,
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DictDataModel,
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UserModel,
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UserRolesModel,
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]
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async def __init_create_table(self) -> None:
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"""
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初始化表结构（第一阶段）
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"""
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try:
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# 使用引擎创建所有表
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async with async_engine.begin() as conn:
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await conn.run_sync(MappedBase.metadata.create_all)
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log.info("✅️ 数据库表结构初始化完成")
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except asyncio.exceptions.TimeoutError:
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log.error("❌️ 数据库表结构初始化超时")
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raise
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except Exception as e:
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log.error(f"❌️ 数据库表结构初始化失败: {str(e)}")
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raise
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async def __init_data(self, db: AsyncSession) -> None:
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"""
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初始化基础数据
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参数:
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- db (AsyncSession): 异步数据库会话。
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"""
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# 存储字典类型数据的映射，用于后续字典数据的初始化
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dict_type_mapping = {}
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for model in self.prepare_init_models:
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table_name = model.__tablename__
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# 检查表中是否已经有数据
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count_result = await db.execute(select(func.count()).select_from(model))
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existing_count = count_result.scalar()
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if existing_count and existing_count > 0:
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log.warning(f"⚠️ 跳过 {table_name} 表数据初始化（表已存在 {existing_count} 条记录）")
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continue
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data = await self.__get_data(table_name)
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if not data:
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log.warning(f"⚠️ 跳过 {table_name} 表，无初始化数据")
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continue
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try:
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# 特殊处理具有嵌套 children 数据的表
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if table_name in ["sys_dept", "sys_menu"]:
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# 获取对应的模型类
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model_class = DeptModel if table_name == "sys_dept" else MenuModel
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objs = self.__create_objects_with_children(data, model_class)
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# 处理字典类型表，保存类型映射
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elif table_name == "sys_dict_type":
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objs = []
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for item in data:
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obj = model(**item)
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objs.append(obj)
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dict_type_mapping[item['dict_type']] = obj
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# 处理字典数据表，添加dict_type_id关联
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elif table_name == "sys_dict_data":
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objs = []
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for item in data:
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dict_type = item.get('dict_type')
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if dict_type in dict_type_mapping:
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# 添加dict_type_id关联
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item['dict_type_id'] = dict_type_mapping[dict_type].id
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else:
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log.warning(f"⚠️ 未找到字典类型 {dict_type}，跳过该字典数据")
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continue
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objs.append(model(**item))
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else:
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# 表为空，直接插入全部数据
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objs = [model(**item) for item in data]
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db.add_all(objs)
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await db.flush()
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log.info(f"✅️ 已向 {table_name} 表写入初始化数据")
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except Exception as e:
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log.error(f"❌️ 初始化 {table_name} 表数据失败: {str(e)}")
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raise
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def __create_objects_with_children(self, data: list[dict], model_class) -> list:
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"""
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通用递归创建对象函数，处理嵌套的 children 数据
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参数:
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- data (list[dict]): 包含嵌套 children 数据的列表。
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- model_class: 对应的 SQLAlchemy 模型类。
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返回:
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- list: 包含创建的对象的列表。
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"""
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objs = []
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def create_object(obj_data: dict):
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# 分离 children 数据
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children_data = obj_data.pop('children', [])
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# 创建当前对象
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obj = model_class(**obj_data)
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# 递归处理子对象
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if children_data:
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obj.children = [create_object(child) for child in children_data]
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return obj
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for item in data:
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objs.append(create_object(item))
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return objs
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async def __get_data(self, filename: str) -> list[dict]:
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"""
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读取初始化数据文件
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参数:
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- filename (str): 文件名（不包含扩展名）。
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返回:
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- list[dict]: 解析后的 JSON 数据列表。
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"""
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json_path = SCRIPT_DIR / f'{filename}.json'
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if not json_path.exists():
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return []
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try:
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with open(json_path, 'r', encoding='utf-8') as f:
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return json.loads(f.read())
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except json.JSONDecodeError as e:
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log.error(f"❌️ 解析 {json_path} 失败: {str(e)}")
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raise
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except Exception as e:
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log.error(f"❌️ 读取 {json_path} 失败: {str(e)}")
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raise
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async def init_db(self) -> None:
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"""
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执行完整初始化流程
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"""
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# 先创建表结构
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await self.__init_create_table()
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# 再初始化数据
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async with async_db_session() as session:
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async with session.begin():
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await self.__init_data(session)
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# session.add_all(objs)
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# 确保提交事务
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await session.commit()
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