207 lines
6.7 KiB
Python
207 lines
6.7 KiB
Python
"""数据库引擎管理
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单一职责:创建和管理SQLAlchemy异步引擎
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"""
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import asyncio
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import os
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from urllib.parse import quote_plus
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from sqlalchemy import text
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from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine
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from src.common.logger import get_logger
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from ..utils.exceptions import DatabaseInitializationError
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logger = get_logger("database.engine")
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# 全局引擎实例
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_engine: AsyncEngine | None = None
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_engine_lock: asyncio.Lock | None = None
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async def get_engine() -> AsyncEngine:
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"""获取全局数据库引擎(单例模式)
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Returns:
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AsyncEngine: SQLAlchemy异步引擎
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Raises:
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DatabaseInitializationError: 引擎初始化失败
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"""
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global _engine, _engine_lock
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# 快速路径:引擎已初始化
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if _engine is not None:
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return _engine
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# 延迟创建锁(避免在导入时创建)
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if _engine_lock is None:
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_engine_lock = asyncio.Lock()
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# 使用锁保护初始化过程
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async with _engine_lock:
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# 双重检查锁定模式
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if _engine is not None:
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return _engine
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try:
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from src.config.config import global_config
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config = global_config.database
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db_type = config.database_type
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logger.info(f"正在初始化 {db_type.upper()} 数据库引擎...")
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# 构建数据库URL和引擎参数
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if db_type == "mysql":
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# MySQL配置
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encoded_user = quote_plus(config.mysql_user)
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encoded_password = quote_plus(config.mysql_password)
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if config.mysql_unix_socket:
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# Unix socket连接
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encoded_socket = quote_plus(config.mysql_unix_socket)
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url = (
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f"mysql+aiomysql://{encoded_user}:{encoded_password}"
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f"@/{config.mysql_database}"
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f"?unix_socket={encoded_socket}&charset={config.mysql_charset}"
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)
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else:
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# TCP连接
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url = (
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f"mysql+aiomysql://{encoded_user}:{encoded_password}"
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f"@{config.mysql_host}:{config.mysql_port}/{config.mysql_database}"
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f"?charset={config.mysql_charset}"
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)
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engine_kwargs = {
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"echo": False,
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"future": True,
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"pool_size": config.connection_pool_size,
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"max_overflow": config.connection_pool_size * 2,
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"pool_timeout": config.connection_timeout,
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"pool_recycle": 3600,
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"pool_pre_ping": True,
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"connect_args": {
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"autocommit": config.mysql_autocommit,
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"charset": config.mysql_charset,
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"connect_timeout": config.connection_timeout,
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},
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}
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logger.info(
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f"MySQL配置: {config.mysql_user}@{config.mysql_host}:{config.mysql_port}/{config.mysql_database}"
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)
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else:
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# SQLite配置
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if not os.path.isabs(config.sqlite_path):
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ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..", ".."))
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db_path = os.path.join(ROOT_PATH, config.sqlite_path)
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else:
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db_path = config.sqlite_path
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# 确保数据库目录存在
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os.makedirs(os.path.dirname(db_path), exist_ok=True)
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url = f"sqlite+aiosqlite:///{db_path}"
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engine_kwargs = {
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"echo": False,
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"future": True,
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"connect_args": {
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"check_same_thread": False,
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"timeout": 60,
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},
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}
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logger.info(f"SQLite配置: {db_path}")
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# 创建异步引擎
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_engine = create_async_engine(url, **engine_kwargs)
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# SQLite特定优化
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if db_type == "sqlite":
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await _enable_sqlite_optimizations(_engine)
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logger.info(f"✅ {db_type.upper()} 数据库引擎初始化成功")
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return _engine
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except Exception as e:
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logger.error(f"❌ 数据库引擎初始化失败: {e}", exc_info=True)
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raise DatabaseInitializationError(f"引擎初始化失败: {e}") from e
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async def close_engine():
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"""关闭数据库引擎
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释放所有连接池资源
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"""
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global _engine
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if _engine is not None:
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logger.info("正在关闭数据库引擎...")
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await _engine.dispose()
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_engine = None
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logger.info("✅ 数据库引擎已关闭")
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async def _enable_sqlite_optimizations(engine: AsyncEngine):
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"""启用SQLite性能优化
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优化项:
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- WAL模式:提高并发性能
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- NORMAL同步:平衡性能和安全性
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- 启用外键约束
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- 设置busy_timeout:避免锁定错误
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Args:
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engine: SQLAlchemy异步引擎
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"""
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try:
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async with engine.begin() as conn:
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# 启用WAL模式
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await conn.execute(text("PRAGMA journal_mode = WAL"))
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# 设置适中的同步级别
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await conn.execute(text("PRAGMA synchronous = NORMAL"))
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# 启用外键约束
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await conn.execute(text("PRAGMA foreign_keys = ON"))
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# 设置busy_timeout,避免锁定错误
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await conn.execute(text("PRAGMA busy_timeout = 60000"))
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# 设置缓存大小(10MB)
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await conn.execute(text("PRAGMA cache_size = -10000"))
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# 临时存储使用内存
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await conn.execute(text("PRAGMA temp_store = MEMORY"))
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logger.info("✅ SQLite性能优化已启用 (WAL模式 + 并发优化)")
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except Exception as e:
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logger.warning(f"⚠️ SQLite性能优化失败: {e},将使用默认配置")
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async def get_engine_info() -> dict:
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"""获取引擎信息(用于监控和调试)
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Returns:
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dict: 引擎信息字典
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"""
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try:
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engine = await get_engine()
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info = {
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"name": engine.name,
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"driver": engine.driver,
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"url": str(engine.url).replace(str(engine.url.password or ""), "***"),
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"pool_size": getattr(engine.pool, "size", lambda: None)(),
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"pool_checked_out": getattr(engine.pool, "checked_out", lambda: 0)(),
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"pool_overflow": getattr(engine.pool, "overflow", lambda: 0)(),
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}
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return info
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except Exception as e:
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logger.error(f"获取引擎信息失败: {e}")
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return {}
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