aioboto3 6.5.0

Async boto3 wrapper

Async AWS SDK for Python

This package is mostly just a wrapper combining the great work of boto3 and aiobotocore.

aiobotocore allows you to use near enough all of the boto3 client commands in an async manner just by prefixing the command with await.

With aioboto3 you can now use the higher level APIs provided by boto3 in an asynchronous manner. Mainly I developed this as I wanted to use the boto3 dynamodb Table object in some async microservices.

While all resources in boto3 should work I havent tested them all, so if what your after is not in the table below then try it out, if it works drop me an issue with a simple test case and I’ll add it to the table.

Services	Status
DynamoDB Service Resource	Tested and working
DynamoDB Table	Tested and working
S3	Working
Kinesis	Working
SSM Parameter Store	Working
Athena	Working

Example

Simple example of using aioboto3 to put items into a dynamodb table

import asyncio
import aioboto3
from boto3.dynamodb.conditions import Key


async def main():
    async with aioboto3.resource('dynamodb', region_name='eu-central-1') as dynamo_resource:
        table = dynamo_resource.Table('test_table')

        await table.put_item(
            Item={'pk': 'test1', 'col1': 'some_data'}
        )

        result = await table.query(
            KeyConditionExpression=Key('pk').eq('test1')
        )

        # Example batch write
        more_items = [{'pk': 't2', 'col1': 'c1'}, \
                      {'pk': 't3', 'col1': 'c3'}]
        async with table.batch_writer() as batch:
            for item_ in more_items:
                await batch.put_item(Item=item_)

loop = asyncio.get_event_loop()
loop.run_until_complete(main())

# Outputs:
#  [{'col1': 'some_data', 'pk': 'test1'}]

Things that either dont work or have been patched

As this library literally wraps boto3, its inevitable that some things won’t magically be async.

Fixed:

• s3_client.download_file* This is performed by the s3transfer module. – Patched with get_object

• s3_client.upload_file* This is performed by the s3transfer module. – Patched with custom multipart upload

• s3_client.copy This is performed by the s3transfer module. – Patched to use get_object -> upload_fileobject

• dynamodb_resource.Table.batch_writer This now returns an async context manager which performs the same function

• Resource waiters - You can now await waiters which are part of resource objects, not just client waiters, e.g. await dynamodbtable.wait_until_exists()

• Resource object properties are normally autoloaded, now they are all co-routines and the metadata they come from will be loaded on first await and then cached thereafter.

• S3 Bucket.objects object now works and has been asyncified. Examples here - https://aioboto3.readthedocs.io/en/latest/usage.html#s3-resource-objects

Amazon S3 Client-Side Encryption

Boto3 doesn’t support AWS client-side encryption so until they do I’ve added basic support for it. Docs here CSE

CSE requires the python cryptography library so if you do pip install aioboto3[s3cse] that’ll also include cryptography.

This library currently supports client-side encryption using KMS-Managed master keys performing envelope encryption using either AES/CBC/PKCS5Padding or preferably AES/GCM/NoPadding. The files generated are compatible with the Java Encryption SDK so I will assume they are compatible with the Ruby, PHP, Go and C++ libraries as well.

Non-KMS managed keys are not yet supported but if you have use of that, raise an issue and i’ll look into it.

Documentation

Docs are here - https://aioboto3.readthedocs.io/en/latest/

Examples here - https://aioboto3.readthedocs.io/en/latest/usage.html

Features

• Closely mimics the usage of boto3.

Todo

• More examples

• Set up docs

• Look into monkey-patching the aws xray sdk to be more async if it needs to be.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template. It also makes use of the aiobotocore and boto3 libraries. All the credit goes to them, this is mainly a wrapper with some examples.

History

6.4.0 (2019-06-20)

• Updated `upload_fileobj` to upload multiple parts concurrently to make best use of the available bandwidth

6.2.0 (2019-05-07)

• @inadarei Added batch writing example

• Added waiter support in resources

• Made resource object properties coroutines and lazy load data when called

6.2.0 (2019-02-27)

• Added S3 Client side encryption functionality

6.1.0 (2019-02-13)

• nvllsvm cleaned up the packaging, requirements, travis, sphinx…

• Unvendored aiobotocore

6.0.1 (2018-11-22)

• Fixed dependencies

6.0.0 (2018-11-21)

• Fixed readthedocs

• Vendored aiobotocore for later botocore version

5.0.0 (2018-10-12)

• Updated lots of dependencies

• Changed s3.upload_fileobj from using put_object to doing a multipart upload

• Created s3.copy shim that runs get_object then does multipart upload, could do with a better implementation though.

4.1.2 (2018-08-28)

• updated pypi credentials

4.1.0 (2018-08-28)

• aiobotocore dependancy bump

4.0.2 (2018-08-03)

• Dependancy bump

4.0.0 (2018-05-09)

• Dependancy bump

• Now using aiobotocore 0.8.0

• Dropped < py3.5 support

• Now using async def / await syntax

• Fixed boto3 dependancy so it only uses a boto3 version supported by aiobotocore’s max botocore dependancy

• Important, `__call__` in `AIOServiceAction` tries to yield from a coroutine in a non-coroutine, this code shouldn’t be hit anymore but I can’t guarantee that, so instead `__call__` was duplicated and awaited properly so “should” be fine. Credit goes to Arnulfo Solis for doing PR.

3.0.0 (2018-03-29)

• Dependancy bump

• Asyncified dynamodb Table Batch Writer + Tests

• Added batch writer examples

• Now using aiobotocore 0.6.0

2.2.0 (2018-01-24)

• Dependancy bump

2.1.0 (2018-01-23)

• Dependancy bump

• Fix bug where extras isn’t packaged

2.0.0 (2017-12-30)

• Patched most s3transfer functions

1.1.2 (2017-11-29)

• Fixup of lingering GPL license texts

0.1.0 (2017-09-25)

• First release on PyPI.