mirror of
https://github.com/fawney19/Aether.git
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1d9c77522a
- 删除全部 Python 源码 (src/) 及 Alembic 迁移脚本，归档至 _deprecated_py_src/ - 重构 Rust gateway ai_pipeline: 拆分 planner/finalize 模块，新增 contracts/adaptation 层 - 重组 handlers 模块为 admin/public/proxy/internal/shared 子模块结构 - 新增 executor 模块，引入 Rust 原生数据库迁移 (aether-data/migrations) - 简化 CI/Docker 构建流程，移除 base image 二级构建，统一为单一 app image - 移除 Python 相关基础设施文件 (entrypoint.sh, gunicorn_conf.py, Dockerfile.base)
473 lines
16 KiB
Python
473 lines
16 KiB
Python
"""
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数据库连接和初始化
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"""
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import time
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from collections.abc import Generator
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from contextlib import contextmanager
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from typing import Any, cast
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from sqlalchemy import create_engine, event
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from sqlalchemy.engine import Engine
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from sqlalchemy.orm import Session, sessionmaker
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from sqlalchemy.pool import QueuePool
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from starlette.requests import Request
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from src.core.logger import logger
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from ..config import config
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from ..models.database import Base, SystemConfig, User, UserRole
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# 延迟初始化的数据库引擎和会话工厂
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_engine: Engine | None = None
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_SessionLocal: sessionmaker[Session] | None = None
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# 连接池监控
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_last_pool_warning: float = 0.0
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POOL_WARNING_INTERVAL = 60 # 每60秒最多警告一次
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def _setup_pool_monitoring(engine: Engine) -> None:
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"""设置连接池监控事件"""
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@event.listens_for(engine, "connect")
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def receive_connect(dbapi_conn: Any, connection_record: Any) -> None:
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"""连接创建时的监控"""
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pass
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@event.listens_for(engine, "checkout")
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def receive_checkout(dbapi_conn: Any, connection_record: Any, connection_proxy: Any) -> None:
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"""从连接池检出连接时的监控"""
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global _last_pool_warning
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pool = cast(QueuePool, engine.pool)
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# 获取连接池状态
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checked_out = pool.checkedout()
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pool_size = pool.size()
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overflow = pool.overflow()
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max_capacity = config.db_pool_size + config.db_max_overflow
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# 计算使用率
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usage_rate = (checked_out / max_capacity) * 100 if max_capacity > 0 else 0
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# 如果使用率超过阈值，发出警告
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if usage_rate >= config.db_pool_warn_threshold:
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current_time = time.time()
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# 避免频繁警告
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if current_time - _last_pool_warning > POOL_WARNING_INTERVAL:
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_last_pool_warning = current_time
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logger.warning(
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f"数据库连接池使用率过高: checked_out={checked_out}, "
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f"pool_size={pool_size}, overflow={overflow}, "
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f"max_capacity={max_capacity}, usage_rate={usage_rate:.1f}%, "
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f"threshold={config.db_pool_warn_threshold}%"
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)
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def get_pool_status() -> dict[str, Any]:
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"""获取连接池状态"""
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engine = _ensure_engine()
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pool = cast(QueuePool, engine.pool)
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return {
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"checked_out": pool.checkedout(),
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"pool_size": pool.size(),
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"overflow": pool.overflow(),
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"max_capacity": config.db_pool_size + config.db_max_overflow,
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"pool_timeout": config.db_pool_timeout,
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}
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def log_pool_status() -> None:
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"""记录连接池状态到日志（用于监控）"""
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try:
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status = get_pool_status()
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usage_rate = (
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(status["checked_out"] / status["max_capacity"] * 100)
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if status["max_capacity"] > 0
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else 0
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)
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logger.info(
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f"数据库连接池状态: checked_out={status['checked_out']}, "
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f"pool_size={status['pool_size']}, overflow={status['overflow']}, "
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f"max_capacity={status['max_capacity']}, usage_rate={usage_rate:.1f}%"
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)
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except Exception as e:
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logger.error(f"获取连接池状态失败: {e}")
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def _ensure_engine() -> Engine:
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"""
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确保数据库引擎已创建（延迟加载）
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这允许测试和 CLI 工具在导入模块时不会立即连接数据库
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"""
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global _engine, _SessionLocal
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if _engine is not None:
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return _engine
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# 获取数据库配置
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DATABASE_URL = config.database_url
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# 验证数据库类型（生产环境要求 PostgreSQL，但允许测试环境使用其他数据库）
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is_production = config.environment == "production"
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if is_production and not DATABASE_URL.startswith("postgresql://"):
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raise ValueError("生产环境只支持 PostgreSQL 数据库，请配置正确的 DATABASE_URL")
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# 创建引擎
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_engine = create_engine(
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DATABASE_URL,
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poolclass=QueuePool, # 使用队列连接池
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pool_size=config.db_pool_size, # 连接池大小
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max_overflow=config.db_max_overflow, # 最大溢出连接数
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pool_timeout=config.db_pool_timeout, # 连接超时（秒）
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pool_recycle=config.db_pool_recycle, # 连接回收时间（秒）
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pool_pre_ping=True, # 检查连接活性
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echo=False, # 关闭SQL日志输出（太冗长）
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)
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# 设置连接池监控
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_setup_pool_monitoring(_engine)
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# 创建会话工厂
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_SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=_engine)
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_log_pool_capacity()
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logger.debug(
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f"数据库引擎已初始化: {DATABASE_URL.split('@')[-1] if '@' in DATABASE_URL else 'local'}"
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)
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return _engine
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def _log_pool_capacity() -> None:
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theoretical = config.db_pool_size + config.db_max_overflow
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workers = max(1, config.worker_processes)
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total_estimated = theoretical * workers
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safe_limit = config.pg_max_connections - config.pg_reserved_connections
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logger.info(
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"数据库连接池配置: pool_size={}, max_overflow={}, workers={}, total_estimated={}, safe_limit={}",
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config.db_pool_size,
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config.db_max_overflow,
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workers,
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total_estimated,
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safe_limit,
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)
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if total_estimated > safe_limit:
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logger.warning(
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"数据库连接池总需求可能超过 PostgreSQL 限制: {} > {} (pg_max_connections - reserved)，"
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"建议调整 DB_POOL_SIZE/DB_MAX_OVERFLOW 或减少 worker 数",
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total_estimated,
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safe_limit,
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)
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def get_db(request: Request = None) -> Generator[Session]: # type: ignore[assignment]
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"""获取数据库会话
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事务策略说明
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============
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本项目采用**混合事务管理**策略：
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1. **LLM 请求路径**：
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- 由 PluginMiddleware 统一管理事务
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- Service 层使用 db.flush() 使更改可见，但不提交
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- 请求结束时由中间件统一 commit 或 rollback
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- 例外：UsageService.record_usage() 会显式 commit，因为使用记录需要立即持久化
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2. **管理后台 API**：
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- 路由层显式调用 db.commit()
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- 提交后设置 request.state.tx_committed_by_route = True
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- 中间件看到此标志后跳过 commit，只负责 close
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3. **后台任务/调度器**：
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- 使用独立 Session（通过 create_session() 或 next(get_db())）
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- 自行管理事务生命周期
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使用方式
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========
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- FastAPI 请求：通过 Depends(get_db) 注入，支持中间件管理的 session 复用
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- 非请求上下文：直接调用 get_db()，退化为独立 session 模式
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路由层提交事务示例
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==================
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```python
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@router.post("/example")
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async def example(request: Request, db: Session = Depends(get_db)):
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# ... 业务逻辑 ...
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db.commit()
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request.state.tx_committed_by_route = True # 告知中间件已提交
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return {"message": "success"}
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```
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注意事项
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========
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- 本函数不自动提交事务
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- 异常时会自动回滚
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- 中间件管理模式下，session 关闭由中间件负责
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"""
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# FastAPI 请求上下文：优先复用中间件绑定的 request.state.db
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if request is not None:
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existing_db = getattr(getattr(request, "state", None), "db", None)
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if isinstance(existing_db, Session):
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yield existing_db
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return
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# 确保引擎已初始化
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_ensure_engine()
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assert _SessionLocal is not None
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db = _SessionLocal()
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# 如果中间件声明会统一管理会话生命周期，则把 session 绑定到 request.state，
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# 并由中间件负责 commit/rollback/close（这里不关闭，避免流式响应提前释放会话）。
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managed_by_middleware = bool(
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request is not None
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and hasattr(request, "state")
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and getattr(request.state, "db_managed_by_middleware", False)
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)
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if managed_by_middleware:
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request.state.db = db
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db.info["managed_by_middleware"] = True
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try:
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yield db
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# 不再自动 commit，由业务代码显式管理事务
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except Exception:
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try:
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db.rollback() # 失败时回滚未提交的事务
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except Exception as rollback_error:
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# 记录回滚错误（可能是 commit 正在进行中）
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logger.debug(f"回滚事务时出错（可忽略）: {rollback_error}")
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raise
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finally:
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if not managed_by_middleware:
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try:
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db.close() # 确保连接返回池
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except Exception as close_error:
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# 记录关闭错误（如 IllegalStateChangeError）
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# 连接池会处理连接的回收
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logger.debug(f"关闭数据库连接时出错（可忽略）: {close_error}")
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def create_session() -> Session:
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"""
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创建一个新的数据库会话
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注意：调用者必须负责关闭会话
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推荐在 with 语句中使用或手动调用 session.close()
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示例:
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db = create_session()
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try:
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# 使用 db
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finally:
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db.close()
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"""
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_ensure_engine()
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assert _SessionLocal is not None
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return _SessionLocal()
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@contextmanager
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def get_db_context() -> Generator[Session, None, None]:
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"""
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获取数据库会话的上下文管理器
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自动管理会话生命周期：创建、提交/回滚、关闭
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示例:
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with get_db_context() as db:
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user = db.query(User).first()
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# 事务在 with 块结束时自动提交或回滚
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"""
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_ensure_engine()
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assert _SessionLocal is not None
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db = _SessionLocal()
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try:
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yield db
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db.commit()
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except Exception:
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db.rollback()
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raise
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finally:
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db.close()
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def get_db_url() -> str:
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"""返回当前配置的数据库连接字符串（供脚本/测试使用）。"""
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return config.database_url
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def init_db() -> None:
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"""初始化数据库
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注意：数据库表结构由 Alembic 管理，部署时请运行 ./migrate.sh
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"""
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import sys
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from sqlalchemy.exc import OperationalError
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logger.info("初始化数据库...")
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# 确保引擎已创建
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_ensure_engine()
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assert _SessionLocal is not None
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# 数据库表结构由 Alembic 迁移管理
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db = _SessionLocal()
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try:
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# 创建管理员账户（如果环境变量中配置了）
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init_admin_user(db)
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# 添加默认模型配置
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init_default_models(db)
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# 添加系统配置
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init_system_configs(db)
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db.commit()
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logger.info("数据库初始化完成")
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except OperationalError as e:
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db.rollback()
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# 提取数据库连接信息用于提示
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db_url = config.database_url
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# 隐藏密码，只显示 host:port/database
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if "@" in db_url:
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db_info = db_url.split("@")[-1]
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else:
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db_info = db_url
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import os
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# 直接打印到 stderr，确保消息显示
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print("", file=sys.stderr)
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print("=" * 60, file=sys.stderr)
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print("数据库连接失败", file=sys.stderr)
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print("=" * 60, file=sys.stderr)
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print("", file=sys.stderr)
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print(f"无法连接到数据库: {db_info}", file=sys.stderr)
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print("", file=sys.stderr)
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print("请检查以下事项:", file=sys.stderr)
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print(" 1. PostgreSQL 服务是否正在运行", file=sys.stderr)
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print(" 2. 数据库连接配置是否正确 (DATABASE_URL)", file=sys.stderr)
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print(" 3. 数据库用户名和密码是否正确", file=sys.stderr)
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print("", file=sys.stderr)
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print("如果使用 Docker，请先运行:", file=sys.stderr)
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print(" docker compose -f docker-compose.build.yml up -d postgres redis", file=sys.stderr)
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print("", file=sys.stderr)
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print("=" * 60, file=sys.stderr)
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# 使用 os._exit 直接退出，避免 uvicorn 捕获并打印堆栈
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os._exit(1)
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except Exception as e:
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logger.error(f"数据库初始化失败: {e}")
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db.rollback()
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raise
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finally:
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db.close()
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def init_admin_user(db: Session) -> None:
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"""从环境变量创建管理员账户"""
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# 检查是否使用默认凭据
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if config.admin_email == "admin@localhost" and config.admin_password == "admin123":
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logger.warning("使用默认管理员账户配置，建议修改为安全的凭据")
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# 检查是否已存在管理员（优先按角色判断，避免修改用户名/邮箱后重复创建）
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existing_admin = db.query(User).filter(User.role == UserRole.ADMIN).first()
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if existing_admin:
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logger.info(f"管理员账户已存在: {existing_admin.email}")
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return
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# 再检查配置的邮箱或用户名是否已被普通用户占用
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existing_user = (
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db.query(User)
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.filter((User.email == config.admin_email) | (User.username == config.admin_username))
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.first()
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)
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if existing_user:
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logger.warning(
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f"配置的管理员邮箱/用户名已被占用: {existing_user.email} ({existing_user.username})"
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)
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return
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try:
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# 创建管理员账户
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admin = User(
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email=config.admin_email,
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email_verified=True,
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username=config.admin_username,
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role=UserRole.ADMIN,
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is_active=True,
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)
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admin.set_password(config.admin_password)
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db.add(admin)
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db.flush() # 分配ID，但不提交事务（由外层 init_db 统一 commit）
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from src.services.wallet import WalletService
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WalletService.initialize_user_wallet(
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db,
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user=admin,
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initial_gift_usd=0,
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unlimited=True,
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description="系统管理员初始化钱包",
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)
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logger.info(f"创建管理员账户成功: {admin.email} ({admin.username})")
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except Exception as e:
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logger.error(f"创建管理员账户失败: {e}")
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raise
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def init_default_models(db: Session) -> None:
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"""初始化默认模型配置"""
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# 注意：作为中转代理服务，不再预设模型配置
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# 模型配置应该通过 GlobalModel 和 Model 表动态管理
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# 这个函数保留用于未来可能的默认模型初始化
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pass
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def init_system_configs(db: Session) -> None:
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"""初始化系统配置"""
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configs: list[dict[str, Any]] = [
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{
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"key": "default_user_initial_gift_usd",
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"value": 10.0,
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"description": "新用户默认初始赠款（美元）",
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},
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{"key": "rate_limit_per_minute", "value": 60, "description": "每分钟请求限制"},
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{"key": "enable_registration", "value": False, "description": "是否开放用户注册"},
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{"key": "require_email_verification", "value": False, "description": "是否需要邮箱验证"},
|
||
{"key": "api_key_expire_days", "value": 365, "description": "API密钥过期天数"},
|
||
]
|
||
|
||
for config_data in configs:
|
||
existing = db.query(SystemConfig).filter_by(key=config_data["key"]).first()
|
||
if not existing:
|
||
row = SystemConfig()
|
||
row.key = config_data["key"]
|
||
row.value = config_data["value"]
|
||
row.description = config_data["description"]
|
||
db.add(row)
|
||
logger.info(f"添加系统配置: {config_data['key']}")
|
||
|
||
|
||
def reset_db() -> None:
|
||
"""重置数据库（仅用于开发）"""
|
||
logger.warning("重置数据库...")
|
||
|
||
# 确保引擎已创建
|
||
engine = _ensure_engine()
|
||
|
||
Base.metadata.drop_all(bind=engine)
|
||
init_db()
|