Getting Started
Installation
pip install capo-cleanroomsml
Usage
from capo_cleanroomsml import AsyncCleanRoomsMLClient
async def main():
async with AsyncCleanRoomsMLClient() as clean_rooms_ml:
# Example: call the list_collaboration_configured_model_algorithm_associations operation
response = await clean_rooms_ml.list_collaboration_configured_model_algorithm_associations()
print(response["next_token"])
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_cleanroomsml import AsyncCleanRoomsMLClient
async def main():
async with AsyncCleanRoomsMLClient() as clean_rooms_ml:
# Example: paginate over list_collaboration_configured_model_algorithm_associations
async for item in clean_rooms_ml.iter_list_collaboration_configured_model_algorithm_associations():
print(item)
Error Handling
The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.
from capo_cleanroomsml import AsyncCleanRoomsMLClient
from capo_cleanroomsml.error import AccessDeniedException
async def main():
async with AsyncCleanRoomsMLClient() as clean_rooms_ml:
try:
await clean_rooms_ml.list_collaboration_configured_model_algorithm_associations()
except AccessDeniedException 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_cleanroomsml import AsyncCleanRoomsMLClient
async def main():
async with AsyncCleanRoomsMLClient() as clean_rooms_ml:
# Default: 3 attempts for every operation
response = await clean_rooms_ml.list_collaboration_configured_model_algorithm_associations()
# Override per operation
response = await clean_rooms_ml.list_collaboration_configured_model_algorithm_associations(config_overrides={"retry_max_attempts": 5})
# Disable retries for this call
response = await clean_rooms_ml.list_collaboration_configured_model_algorithm_associations(config_overrides={"retry_max_attempts": 1})
Metadata
Release files for capo-cleanroomsml 0.2.0
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| File | Size | Uploaded | Provenance | |
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| capo_cleanroomsml-0.2.0.tar.gz | 183.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| capo_cleanroomsml-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 660.4 kB
Release files / capo_cleanroomsml-0.2.0.tar.gz
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