Handle the Exception “AttributeError: module ‘aiobotocore’ has no attribute ‘AioSession’”

Python is a wide programming language that has given a lot of liberty to programmers and developers, and that’s the reason it is considered one of the best options to build applications. Several applications and web pages that we see today are designed by programmers using Python. When it is used so frequently, it is obvious to encounter errors. If you are a beginner or learner, you may halt the project to look for a solution when you get the error warning. You may encounter the exception “AttributeError: module ‘aiobotocore’ has no attribute ‘AioSession’”.

No need to worry as we are here to guide you on the way to resolve the error. Let’s first check out what is aiobotcore

What is Aiobotocore?

Before jumping to the error and its solutions, you need to understand what aiobotocore is. It is a library that is fully featured and asynchronous botocore version. Amazon services are used by the async client that uses Aiohttpas, asyncio, and botocore.  You can install it using the below command

$ pip install aiobotocore

To understand it better, have a look at a basic example to import AioSession

from contextlib import AsyncExitStack

from aiobotocore.session import AioSession

# How to use in existing context manager
class Manager:
    def __init__(self):
        self._exit_stack = AsyncExitStack()
        self._s3_client = None

    async def __aenter__(self):
        session = AioSession()
        self._s3_client = await self._exit_stack.enter_async_context(session.create_client('s3'))

    async def __aexit__(self, exc_type, exc_val, exc_tb):
        await self._exit_stack.__aexit__(exc_type, exc_val, exc_tb)

# How to use with an external exit_stack
async def create_s3_client(session: AioSession, exit_stack: AsyncExitStack):
    # Create client and add cleanup
    client = await exit_stack.enter_async_context(session.create_client('s3'))
    return client

async def non_manager_example():
    session = AioSession()

    async with AsyncExitStack() as exit_stack:
        s3_client = await create_s3_client(session, exit_stack)

        # do work with s3_client

Now that you know about the aiobotocore, let’s check out how the error shows up

How the error occurs

When you are working with the cell sequence in Google Colab, you end up with the following error

AttributeError: module 'aiobotocore' has no attribute 'AioSession'

Solutions To Tackle the Error “AttributeError: module ‘aiobotocore’ has no attribute ‘AioSession’”

We are going to disclose a few effective solutions to fix the error.

Solution 1 – Download the latest version

The error goes when you download the latest version. The issue is solved when you upgrade the version.  This is the simpler solution to handle the exception.

Solution 2 – The 2021.08.0 version of s3fs

It is evident that using the 2021.08.0 version of s3fs can fix the error warning. So, if you are thinking to have the exact version that can fix the issue without trying various newer versions, then this is the version you can install.


And here we are! The solutions are discussed in the post to help you resolve the error “AttributeError: module ‘aiobotocore’ has no attribute ‘AioSession’”. Solving the error is simple, you just need to try the solutions and that’s it.

I wish you luck! Drop the message in the comment box below! Your feedback is encouraged!

Leave a Reply

Your email address will not be published. Required fields are marked *