Skip to main content

Getting Started

Installation

pip install capo-cleanrooms

Usage

from capo_cleanrooms import AsyncCleanRoomsClient


async def main():
    async with AsyncCleanRoomsClient() as clean_rooms:
        # Example: call the list_tags_for_resource operation
        response = await clean_rooms.list_tags_for_resource()
        print(response["tags"])

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_cleanrooms import AsyncCleanRoomsClient


async def main():
    async with AsyncCleanRoomsClient() as clean_rooms:
        # Example: paginate over list_collaboration_change_requests
        async for item in clean_rooms.iter_list_collaboration_change_requests():
            print(item)

Error Handling

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

from capo_cleanrooms import AsyncCleanRoomsClient
from capo_cleanrooms.error import ResourceNotFoundException


async def main():
    async with AsyncCleanRoomsClient() as clean_rooms:
        try:
            await clean_rooms.list_tags_for_resource()
        except ResourceNotFoundException 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_cleanrooms import AsyncCleanRoomsClient


async def main():
    async with AsyncCleanRoomsClient() as clean_rooms:
        # Default: 3 attempts for every operation
        response = await clean_rooms.list_tags_for_resource()

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

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

Metadata

Release files for capo-cleanrooms 0.3.0

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-cleanrooms 0.3.0
File Size Uploaded Provenance
capo_cleanrooms-0.3.0.tar.gz 271.5 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for capo-cleanrooms 0.3.0
File Interpreter ABI Platform
capo_cleanrooms-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 1.0 MB

Release files / capo_cleanrooms-0.3.0.tar.gz

Download URL capo_cleanrooms-0.3.0.tar.gz
Size 271.5 kB
Tags Source
SHA-256 checksum
How to use checksums
0c8e59882f663ca43ebc9a823ff4568ef2fef7a1fdcb227adb25cd1fbaecbef6
BLAKE2b-256 checksum
How to use checksums
21fa486c764b98b6b06557e458c1a20d85eafcae14e30a84d093237c33075dc6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.17 {"installer":{"name":"uv","version":"0.12.17","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_cleanrooms-0.3.0-py3-none-any.whl

Download URL capo_cleanrooms-0.3.0-py3-none-any.whl
Size 753.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
04ed9eb3e8024765a7facb1c964309a165eb272f65d718afbe2ec415c2014a14
BLAKE2b-256 checksum
How to use checksums
6fa2d51de784965661aa7c0d64d075b62cbc2947a683b2be772793ada2999a55
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.17 {"installer":{"name":"uv","version":"0.12.17","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-cleanrooms 0.3.0

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