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https://github.com/aio-libs/aiobotocore
asyncio support for botocore library using aiohttp
https://github.com/aio-libs/aiobotocore
aiohttp asyncio aws aws-sdk botocore cloud cloud-management
Last synced: about 2 months ago
JSON representation
asyncio support for botocore library using aiohttp
- Host: GitHub
- URL: https://github.com/aio-libs/aiobotocore
- Owner: aio-libs
- License: apache-2.0
- Created: 2015-05-31T19:28:54.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2024-07-30T02:02:39.000Z (about 2 months ago)
- Last Synced: 2024-07-31T02:26:56.463Z (about 2 months ago)
- Topics: aiohttp, asyncio, aws, aws-sdk, botocore, cloud, cloud-management
- Language: Python
- Homepage: https://aiobotocore.rtfd.io
- Size: 1.06 MB
- Stars: 1,132
- Watchers: 25
- Forks: 179
- Open Issues: 43
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES.rst
- Contributing: CONTRIBUTING.rst
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- starred-awesome - aiobotocore - asyncio support for botocore library using aiohttp (Python)
README
aiobotocore
===========
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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
-------------
.. code:: python
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
------------------------
.. code:: python
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
---------
There are two set of tests, those that can be mocked through `moto `_ running in docker, and those that require running against a personal amazon key. The CI only runs the moto tests.
To run the moto tests:
::
$ make mototest
To run the non-moto tests:
Make sure you have development requirements installed and your amazon key and
secret accessible via environment variables:
::
$ pip install pip-tools
$ pip-compile requirements-dev.in
$ pip-sync requirements-dev.txt
$ export AWS_ACCESS_KEY_ID=xxx
$ export AWS_SECRET_ACCESS_KEY=xxx
$ export AWS_DEFAULT_REGION=xxx # e.g. us-west-2
Execute tests suite:
::
$ make test
Enable type checking and code completion
----------------------------------------
Install types-aiobotocore_ that contains type annotations for `aiobotocore`
and all supported botocore_ services.
.. code:: bash
# 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:
.. code:: python
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://youtype.github.io/types_aiobotocore_docs/
Mailing List
------------
https://groups.google.com/forum/#!forum/aio-libs
Requirements
------------
* Python_ 3.8+
* aiohttp_
* botocore_
.. _Python: https://www.python.org
.. _asyncio: https://docs.python.org/3/library/asyncio.html
.. _botocore: https://github.com/boto/botocore
.. _aiohttp: https://github.com/aio-libs/aiohttp
.. _types-aiobotocore: https://youtype.github.io/types_aiobotocore_docs/
.. _Pylance: https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance
.. _pyright: https://github.com/microsoft/pyright
.. _mypy: http://mypy-lang.org/
awscli & boto3
--------------
awscli and boto3 depend on a single version, or a narrow range of versions, of botocore.
However, aiobotocore only supports a specific range of botocore versions. To ensure you
install the latest version of awscli and boto3 that your specific combination or
aiobotocore and botocore can support use::
pip install -U 'aiobotocore[awscli,boto3]'
If you only need awscli and not boto3 (or vice versa) you can just install one extra or
the other.