Getting Started

Installation

pip install capo-cloudwatch

Usage

from capo_cloudwatch import AsyncCloudWatchClient


async def main():
    async with AsyncCloudWatchClient() as cloud_watch:
        # Example: call the associate_dataset_kms_key operation
        response = await cloud_watch.associate_dataset_kms_key()
        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_cloudwatch import AsyncCloudWatchClient


async def main():
    async with AsyncCloudWatchClient() as cloud_watch:
        # Example: paginate over describe_alarm_history
        async for item in cloud_watch.iter_describe_alarm_history():
            print(item)

Waiters

Waiters poll an operation until a resource reaches a desired state. If the operation supports waiters it will have a wait_until_ prefixed method.

from capo_cloudwatch import AsyncCloudWatchClient


async def main():
    async with AsyncCloudWatchClient() as cloud_watch:
        # Example: wait for alarm_mute_rule_exists
        await cloud_watch.wait_until_alarm_mute_rule_exists(max_wait_time=300)

Error Handling

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

from capo_cloudwatch import AsyncCloudWatchClient
from capo_cloudwatch.error import ConflictException


async def main():
    async with AsyncCloudWatchClient() as cloud_watch:
        try:
            await cloud_watch.associate_dataset_kms_key()
        except ConflictException 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_cloudwatch import AsyncCloudWatchClient


async def main():
    async with AsyncCloudWatchClient() as cloud_watch:
        # Default: 3 attempts for every operation
        response = await cloud_watch.associate_dataset_kms_key()

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

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