为提高效率，提问时请提供以下信息，问题描述清晰可优先响应。
【DM版本】: DM Database Server 64 V8
【操作系统】：windows11
【CPU】:
【问题描述】*：
SQLAlchemy 2.0.39
dmPython 2.5.8
sqlalchemy_dm 2.0.3
同样的数据库连接信息，dmPython是可以正常连接并插表。
sqlalchemy_dm的安装是安装官方文档教程，在C:\dmdbms\drivers\python\sqlalchemy2.0.0下执行 python setup.py install
pip show sqlalchemy_dm 提示：
EPRECATION: Loading egg at c:\users\wallflower\scoop\persist\python\lib\site-packages\sqlalchemy_dm-2.0.3-py3.12.egg is deprecated. pip 24.3 will enforce this behaviour change. A possible replacement is to use pip for package installation.

使用sqlalchemy连接的代码如下：

from sqlalchemy import create_engine, Column, Integer, String, MetaData, Table
from sqlalchemy.orm import declarative_base
from sqlalchemy.orm import sessionmaker
from datetime import datetime

# 数据库连接信息
DB_CONFIG = {
    "user": "SYSDBA",
    "password": "123456",
    "server": "localhost",
    "port": 5236,
    "schema": "DAILY_INSPECTION",
}

# 创建数据库连接URL
DB_URL = f"dm://{DB_CONFIG['user']}:{DB_CONFIG['password']}@{DB_CONFIG['server']}:{DB_CONFIG['port']}/{DB_CONFIG['schema']}"

try:
    # 创建引擎
    engine = create_engine(DB_URL)
    
    # 创建基类
    Base = declarative_base()
    
    # 定义模型类
    class SysPerformance(Base):
        __tablename__ = 'SYS_PERFORMANCE'
        
        id = Column(Integer, primary_key=True, autoincrement=True)
        system_id = Column(Integer, nullable=False)
        system_name = Column(String(100), nullable=False)
        menu = Column(String(100), nullable=False)
        response_time = Column(Integer, nullable=False)
        
    # 创建会话
    Session = sessionmaker(bind=engine)
    session = Session()
    
    # 插入的数据
    new_record = SysPerformance(
        system_id=1,
        system_name="System A",
        menu="Dashboard",
        response_time=120
    )
    
    # 添加并提交数据
    session.add(new_record)
    session.commit()
    print("数据插入成功！")
    
except Exception as e:
    print(f"操作失败: {e}")
    if 'session' in locals():
        session.rollback()  # 发生异常时回滚事务
        
finally:
    # 关闭会话
    if 'session' in locals():
        session.close()