Testcontainers启动Postgres容器后，SQLAlchemy结合asyncpg连接超时问题求助

我正在尝试用Testcontainers本地搭建PostgreSQL环境，容器能正常启动，也能拿到映射到localhost的端口，但用SQLAlchemy + asyncpg连接时总是超时。

import asyncio

from sqlalchemy import text
from sqlalchemy.ext.asyncio import create_async_engine
from testcontainers.postgres import PostgresContainer


async def main():
    print("Starting Postgres testcontainer...")
    with PostgresContainer("postgres:16-alpine", driver="asyncpg") as container:
        db_url = container.get_connection_url()
        print(f"Container started. DB URL: {db_url}")

        engine = create_async_engine(db_url, echo=False)
        try:
            async with engine.connect() as conn:
                one = await conn.execute(text("SELECT 1"))
                version = await conn.execute(text("SELECT version()"))
                print(one.scalar_one(), version.scalar_one())
        finally:
            await engine.dispose()


if __name__ == "__main__":
    raise SystemExit(asyncio.run(main()))

输出/错误信息： #

Starting Postgres testcontainer...
Container started. DB URL: postgresql+asyncpg://test:test@localhost:32777/test
...
asyncio.exceptions.CancelledError
...
File ".../asyncio/timeouts.py", line 116, in __aexit__
    raise TimeoutError from exc_val
TimeoutError

调用栈主要经过以下几个模块：

• sqlalchemy.ext.asyncio.engine.connect
• sqlalchemy/dialects/postgresql/asyncpg.py
• asyncpg/connection.py

我的环境信息： #

• 操作系统：Linux 6.8.0-101-generic
• Shell：bash
• Python：3.13.11（在.venv虚拟环境中）
• 依赖版本：
  • sqlalchemy >= 2.0.0
  • asyncpg == 0.30.0
  • testcontainers[postgres] >= 4.0.0
• Postgres镜像：postgres:16-alpine
• 项目要求Python版本>=3.13

还有启动时的警告（不确定是否和问题相关）：

RequestsDependencyWarning: urllib3 (2.6.3) or chardet (...) / charset_normalizer (...) doesn't match a supported version!

我原本以为容器启动后，执行SELECT 1应该能立刻成功，但现在却出现了超时。想请教一下：
为什么PostgresContainer已经报告启动完成，但asyncpg连接还是会超时？
有没有已知的Testcontainers + asyncpg + Python 3.13兼容问题？

备注：内容来源于stack exchange，提问作者minhle_r7