capo-datasync: typed, async Python SDK for AWS Datasync¶

capo-datasync is a typed Python SDK for AWS Datasync. It has an async client, AsyncDataSyncClient, for asyncio and trio, and a sync client, DataSyncClient, with the same methods. Requests and responses are typed with TypedDicts, so your editor and type checker know every field.

It is part of capo, a community-driven alternative to boto3 and aioboto3, built on its own HTTP stack instead of botocore and generated from the official AWS Smithy models. Documentation: https://capo-sdk.dev/services/datasync/

Installation¶

pip install capo-datasync

Usage¶

from capo_datasync import AsyncDataSyncClient


async def main():
    async with AsyncDataSyncClient() as data_sync:
        # Example: call the cancel_task_execution operation
        response = await data_sync.cancel_task_execution()
        print(response)

Pagination¶

Some operations in this SDK support pagination. If the operation supports pagination it will have an iter_ prefixed method that returns an async iterator.

from capo_datasync import AsyncDataSyncClient


async def main():
    async with AsyncDataSyncClient() as data_sync:
        # Example: paginate over list_agents
        async for item in data_sync.iter_list_agents():
            print(item)

Error Handling¶

The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.

from capo_datasync import AsyncDataSyncClient
from capo_datasync.error import InternalException


async def main():
    async with AsyncDataSyncClient() as data_sync:
        try:
            await data_sync.cancel_task_execution()
        except InternalException as e:
            print(f"Error: {e}")
            print(e.data)  # additional error data

Retrying¶

The SDK retries failed operations automatically. Retry behaviour follows the Smithy specification: errors are retried based on their is_retryable and is_throttling_error attributes. Throttling errors use a longer base delay. Network-level failures (connection errors and timeouts) are also retried. Non-retryable errors, such as client errors without the @retryable trait, are raised immediately without further attempts.

The number of attempts defaults to 3 and can be changed at the client level via retry_max_attempts, or per call via config_overrides.

from capo_datasync import AsyncDataSyncClient


async def main():
    async with AsyncDataSyncClient() as data_sync:
        # Default: 3 attempts for every operation
        response = await data_sync.cancel_task_execution()

        # Override per operation
        response = await data_sync.cancel_task_execution(config_overrides={"retry_max_attempts": 5})

        # Disable retries for this call
        response = await data_sync.cancel_task_execution(config_overrides={"retry_max_attempts": 1})