Skip to main content

Getting Started

Installation

pip install capo-kinesis-analytics-v2

Usage

from capo_kinesis_analytics_v2 import AsyncKinesisAnalyticsV2Client


async def main():
    async with AsyncKinesisAnalyticsV2Client() as kinesis_analytics_v2:
        # Example: call the add_application_cloud_watch_logging_option operation
        response = await kinesis_analytics_v2.add_application_cloud_watch_logging_option()
        print(response["application_arn"])

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_kinesis_analytics_v2 import AsyncKinesisAnalyticsV2Client


async def main():
    async with AsyncKinesisAnalyticsV2Client() as kinesis_analytics_v2:
        # Example: paginate over list_application_operations
        async for item in kinesis_analytics_v2.iter_list_application_operations():
            print(item)

Error Handling

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

from capo_kinesis_analytics_v2 import AsyncKinesisAnalyticsV2Client
from capo_kinesis_analytics_v2.error import ConcurrentModificationException


async def main():
    async with AsyncKinesisAnalyticsV2Client() as kinesis_analytics_v2:
        try:
            await kinesis_analytics_v2.add_application_cloud_watch_logging_option()
        except ConcurrentModificationException 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_kinesis_analytics_v2 import AsyncKinesisAnalyticsV2Client


async def main():
    async with AsyncKinesisAnalyticsV2Client() as kinesis_analytics_v2:
        # Default: 3 attempts for every operation
        response = await kinesis_analytics_v2.add_application_cloud_watch_logging_option()

        # Override per operation
        response = await kinesis_analytics_v2.add_application_cloud_watch_logging_option(config_overrides={"retry_max_attempts": 5})

        # Disable retries for this call
        response = await kinesis_analytics_v2.add_application_cloud_watch_logging_option(config_overrides={"retry_max_attempts": 1})

Metadata

Release files for capo-kinesis-analytics-v2 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for capo-kinesis-analytics-v2 0.2.0
File Size Uploaded Provenance
capo_kinesis_analytics_v2-0.2.0.tar.gz 148.8 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for capo-kinesis-analytics-v2 0.2.0
File Interpreter ABI Platform
capo_kinesis_analytics_v2-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 534.8 kB

Release files / capo_kinesis_analytics_v2-0.2.0.tar.gz

Download URL capo_kinesis_analytics_v2-0.2.0.tar.gz
Size 148.8 kB
Tags Source
SHA-256 checksum
How to use checksums
20cd5536a83ce0fbbee0d88cacd5750344225b85d39e7bf3ad0a899b439eb1b1
BLAKE2b-256 checksum
How to use checksums
87ca5bd67aa425c51e6775459317cfe8d08961bc6fc7e485164b891770f6478a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.21 {"installer":{"name":"uv","version":"0.12.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / capo_kinesis_analytics_v2-0.2.0-py3-none-any.whl

Download URL capo_kinesis_analytics_v2-0.2.0-py3-none-any.whl
Size 386.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
884b40ee722ad3ae9e38c3dbe5d1a727d25ac98f123530998d08fd1b1ff27a28
BLAKE2b-256 checksum
How to use checksums
07bf0a54296f17a5e675a414bdd25efe519f15d24b5bc8a833a1ad85cf6ce12a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.21 {"installer":{"name":"uv","version":"0.12.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for capo-kinesis-analytics-v2 0.2.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page