asyncio support for botocore library using aiohttp
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README.rst

aiobotocore

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Async client for amazon services using botocore and aiohttp/asyncio.

Main purpose of this library to support amazon s3 api, but other services should work (may be with minor fixes). For now we have tested only upload/download api for s3, other users report that SQS and Dynamo services work also. More tests coming soon.

Install

$ pip install aiobotocore

Basic Example

import asyncio
import aiobotocore

AWS_ACCESS_KEY_ID = "xxx"
AWS_SECRET_ACCESS_KEY = "xxx"


async def go(loop):
    bucket = 'dataintake'
    filename = 'dummy.bin'
    folder = 'aiobotocore'
    key = '{}/{}'.format(folder, filename)

    session = aiobotocore.get_session(loop=loop)
    async with session.create_client('s3', region_name='us-west-2',
                                   aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
                                   aws_access_key_id=AWS_ACCESS_KEY_ID) as client:
        # upload object to amazon s3
        data = b'\x01'*1024
        resp = await client.put_object(Bucket=bucket,
                                            Key=key,
                                            Body=data)
        print(resp)

        # getting s3 object properties of file we just uploaded
        resp = await client.get_object_acl(Bucket=bucket, Key=key)
        print(resp)

        # get object from s3
        response = await client.get_object(Bucket=bucket, Key=key)
        # this will ensure the connection is correctly re-used/closed
        async with response['Body'] as stream:
            assert await stream.read() == data

        # list s3 objects using paginator
        paginator = client.get_paginator('list_objects')
        async for result in paginator.paginate(Bucket=bucket, Prefix=folder):
            for c in result.get('Contents', []):
                print(c)

        # delete object from s3
        resp = await client.delete_object(Bucket=bucket, Key=key)
        print(resp)

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

Supported AWS Services

This is a non-exuastive list of what tests aiobotocore runs against AWS services. Not all methods are tested but we aim to test the majority of commonly used methods.

Service Status
S3 Working
DynamoDB Basic methods tested
SNS Basic methods tested
SQS Basic methods tested
CloudFormation Stack creation tested
Kinesis Basic methods tested

Due to the way boto3 is implemented, its highly likely that even if services are not listed above that you can take any boto3.client('service') and stick await infront of methods to make them async, e.g. await client.list_named_queries() would asynchronous list all of the named Athena queries.

If a service is not listed here and you could do with some tests or examples feel free to raise an issue.

Run Tests

Make sure you have development requirements installed and your amazon key and secret accessible via environment variables:

$ cd aiobotocore
$ export AWS_ACCESS_KEY_ID=xxx
$ export AWS_SECRET_ACCESS_KEY=xxx
$ pip install -Ur requirements-dev.txt

Execute tests suite:

$ py.test -v tests

Mailing List

https://groups.google.com/forum/#!forum/aio-libs

Requirements

awscli

awscli depends on a single version of botocore, however aiobotocore only supports a specific range of botocore versions. To ensure you install the latest version of awscli that your specific combination or aiobotocore and botocore can support use:

pip install -U aiobotocore[awscli]