aiobotocore

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

This library is a mostly full featured asynchronous version of botocore.

Install

$ pip install aiobotocore

Basic Example

import asyncio
from aiobotocore.session import get_session

AWS_ACCESS_KEY_ID = "xxx"
AWS_SECRET_ACCESS_KEY = "xxx"


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

    session = get_session()
    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())

Context Manager Examples

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

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
$ pipenv sync --dev

Execute tests suite:

$ py.test -v tests

Enable type checking and code completion

Install types-aiobotocore that contains type annotations for aiobotocore and all supported botocore services.

# install aiobotocore type annotations
# for ec2, s3, rds, lambda, sqs, dynamo and cloudformation
python -m pip install 'types-aiobotocore[essential]'

# or install annotations for services you use
python -m pip install 'types-aiobotocore[acm,apigateway]'

# Lite version does not provide session.create_client overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-aiobotocore-lite[essential]'

Now you should be able to run Pylance, pyright, or mypy for type checking as well as code completion in your IDE.

For types-aiobotocore-lite package use explicit type annotations:

from aiobotocore.session import get_session
from types_aiobotocore_s3.client import S3Client

session = get_session()
async with session.create_client("s3") as client:
    client: S3Client
    # type checking and code completion is now enabled for client

Full documentation for types-aiobotocore can be found here: https://vemel.github.io/types_aiobotocore_docs/

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]

terricain/aiobotocore