183 lines
6.9 KiB
Python
183 lines
6.9 KiB
Python
"""
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数据库连接管理
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"""
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import pymysql
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from contextlib import contextmanager
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import os
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import logging
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from pathlib import Path
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from sqlalchemy import create_engine, pool
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logger = logging.getLogger(__name__)
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# 尝试加载.env文件
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try:
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from dotenv import load_dotenv
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# 从backend目录或项目根目录查找.env文件
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backend_dir = Path(__file__).parent.parent
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project_root = backend_dir.parent
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# 按优先级查找.env文件
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env_files = [
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backend_dir / '.env', # backend/.env (优先)
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project_root / '.env', # 项目根目录/.env
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]
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loaded = False
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for env_file in env_files:
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if env_file.exists():
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load_dotenv(env_file, override=True)
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logger.info(f"已加载环境变量文件: {env_file}")
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loaded = True
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break
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if not loaded:
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# 如果都不存在，尝试自动查找（不报错）
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load_dotenv(project_root / '.env', override=False)
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except ImportError:
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# 如果没有安装python-dotenv，跳过
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logger.debug("python-dotenv未安装，跳过.env文件加载")
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except Exception as e:
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logger.warning(f"加载.env文件失败: {e}")
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class Database:
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"""数据库连接类（使用SQLAlchemy连接池）"""
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_engine = None
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def __init__(self):
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self.host = os.getenv('DB_HOST', 'localhost')
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self.port = int(os.getenv('DB_PORT', 3306))
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self.user = os.getenv('DB_USER', 'root')
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self.password = os.getenv('DB_PASSWORD', '')
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self.database = os.getenv('DB_NAME', 'auto_trade_sys_new')
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# 记录配置信息（不显示密码）
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logger.debug(f"数据库配置: host={self.host}, port={self.port}, user={self.user}, database={self.database}")
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# 初始化连接池
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self._init_engine()
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def _init_engine(self):
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"""初始化SQLAlchemy引擎和连接池"""
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if Database._engine is None:
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# 构建数据库URL
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# 注意：密码中如果有特殊字符需要转义，这里简单处理
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from urllib.parse import quote_plus
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encoded_password = quote_plus(self.password)
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db_url = f"mysql+pymysql://{self.user}:{encoded_password}@{self.host}:{self.port}/{self.database}?charset=utf8mb4"
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try:
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Database._engine = create_engine(
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db_url,
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pool_size=20, # 基础连接池大小
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max_overflow=30, # 最大溢出连接数
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pool_recycle=3600, # 连接回收时间(秒)
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pool_timeout=30, # 获取连接超时时间(秒)
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pool_pre_ping=True, # 预检测连接是否可用
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connect_args={
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# 'cursorclass': pymysql.cursors.DictCursor, # Removed to prevent KeyError: 0 in SQLAlchemy init
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'autocommit': False
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}
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)
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logger.info("数据库连接池初始化成功")
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except Exception as e:
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logger.error(f"数据库连接池初始化失败: {e}")
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raise
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@contextmanager
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def get_connection(self):
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"""获取数据库连接（从连接池）"""
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conn = None
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try:
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# 获取原始pymysql连接
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conn = Database._engine.raw_connection()
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# Explicitly set cursor class to DictCursor since we removed it from create_engine
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# We need to set it on the underlying DBAPI connection
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try:
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if hasattr(conn, 'driver_connection'):
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# SQLAlchemy 2.0+
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conn.driver_connection.cursorclass = pymysql.cursors.DictCursor
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elif hasattr(conn, 'connection'):
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# Older SQLAlchemy
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conn.connection.cursorclass = pymysql.cursors.DictCursor
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else:
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# Fallback
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conn.cursorclass = pymysql.cursors.DictCursor
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except Exception as e:
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logger.warning(f"设置DictCursor失败: {e}")
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# 设置时区为北京时间（UTC+8）
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# 注意：raw_connection可能不自动应用connect_args中的autocommit，需确认
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# SQLAlchemy的raw_connection通常返回DBAPI连接，autocommit行为取决于驱动
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# 这里显式关闭autocommit以保持兼容性
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try:
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conn.autocommit(False)
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except AttributeError:
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# 某些旧版本pymysql或wrapper可能不支持方法调用，尝试属性赋值
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pass
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with conn.cursor() as cursor:
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cursor.execute("SET time_zone = '+08:00'")
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# 注意：不在这里commit，除非是只读操作。调用者负责commit/rollback
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# 但原代码在yield前commit了时区设置?
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# 原代码：cursor.execute(...); conn.commit(); yield conn
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# SET time_zone 不需要 commit，但为了保险起见保留原行为
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conn.commit()
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yield conn
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except Exception as e:
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if conn:
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try:
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conn.rollback()
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except:
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pass
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logger.error(f"数据库连接错误: {e}")
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raise
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finally:
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if conn:
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conn.close() # 归还给连接池
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def execute_query(self, query, params=None):
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"""执行查询，返回所有结果"""
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with self.get_connection() as conn:
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with conn.cursor() as cursor:
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cursor.execute(query, params)
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conn.commit()
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return cursor.fetchall()
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def execute_one(self, query, params=None):
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"""执行查询，返回单条结果"""
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with self.get_connection() as conn:
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with conn.cursor() as cursor:
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cursor.execute(query, params)
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conn.commit()
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return cursor.fetchone()
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def execute_update(self, query, params=None):
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"""执行更新，返回影响行数"""
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try:
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with self.get_connection() as conn:
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with conn.cursor() as cursor:
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affected = cursor.execute(query, params)
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conn.commit()
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return affected
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except Exception as e:
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# 重新抛出异常，让调用者处理（如 update_exit 中的异常处理）
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# 不要在这里记录为"数据库连接错误"，因为这可能是业务逻辑错误（如唯一约束冲突）
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raise
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def execute_many(self, query, params_list):
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"""批量执行"""
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with self.get_connection() as conn:
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with conn.cursor() as cursor:
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affected = cursor.executemany(query, params_list)
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conn.commit()
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return affected
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# 全局数据库实例
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db = Database()
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