As part of this change, we’ve moved the library from AWS Labs to the main AWS GitHub organisation but, thanks to the GitHub’s redirect feature, you’ll still be able to access the project by its old URLs until you update your bookmarks. You’ll still be able to install using pip install awswrangler and you won’t need to change any of your code. We’re changing the name we use when we talk about the library, but everything else will stay the same. The session will always be closed no matter what due to the finally, but changes are only committed if the yield returns without exceptions.AWS Data Wrangler is now AWS SDK for pandas (awswrangler). We'll use the try except finally logic where if an exception occurs, we rollback the session - removing any changes - and raise. In this function, we'll open the session as normal and yield it to our program. This is very similar to what we want to do with sessions, so let's make our own.įirst we import the contextmanager decorator from contextlib and define a session_scope function. The with keyword ensures that a setup and teardown occurs when opening and closing a file. If you've ever opened a file with Python's with open(.) as f:, you've used a context manager. This is a perfect use case for a context manager. That's a lot of stuff to write every time you want to work with your database. You might have noticed that we are constantly creating a session, adding to the session, committing the session, rolling back the session if there's an error, and finally closing the session. Let's initialize Alembic in the root of our project by installing alembic ( pip install alembic) and running the following command to initialize Alembic in a folder called "alembic" in our current directory:
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