describe_scheduling_policies `async` ¶

describe_scheduling_policies(
    *,
    config_overrides: Optional[AsyncBatchClientConfig] = None,
    arns: Optional[StringList] = None,
) -> DescribeSchedulingPoliciesResponse

Describes one or more of your scheduling policies.

Parameters:

arns (Optional[StringList], default: None ) –

A list of up to 100 scheduling policy Amazon Resource Name (ARN) entries.

Raises:

ClientException –

These errors are usually caused by a client action. One example cause is using an action or resource on behalf of a user that doesn't have permissions to use the action or resource. Another cause is specifying an identifier that's not valid.
ServerException –

These errors are usually caused by a server issue.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_batch/_services/async_batch.py

async def describe_scheduling_policies(
    self,
    *,
    config_overrides: Optional[AsyncBatchClientConfig] = None,
    arns: Optional["capo_batch.types.string_list.StringList"] = None,
) -> "capo_batch.types.describe_scheduling_policies_response.DescribeSchedulingPoliciesResponse":
    """<p>Describes one or more of your scheduling policies.</p>

    Args:
        arns: <p>A list of up to 100 scheduling policy Amazon Resource Name (ARN) entries.</p>

    Raises:
        capo_batch.errors.client_exception.ClientException: <p>These errors are usually caused by a client action. One example cause is using an action or resource on behalf of a user that doesn't have permissions to use the action or resource. Another cause is specifying an identifier that's not valid.</p>
        capo_batch.errors.server_exception.ServerException: <p>These errors are usually caused by a server issue.</p>
        capo_batch.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_batch.types.describe_scheduling_policies_request.DescribeSchedulingPoliciesRequest]",
    ) -> AsyncOperationResponse[
        "capo_batch.types.describe_scheduling_policies_response.DescribeSchedulingPoliciesResponse"
    ]:
        import capo_batch._operations.aws_batch_v20160810.describe_scheduling_policies

        (
            output,
            http_response,
        ) = await capo_batch._operations.aws_batch_v20160810.describe_scheduling_policies.async_describe_scheduling_policies(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeSchedulingPolicies")
    )
    input_: capo_batch.types.describe_scheduling_policies_request.DescribeSchedulingPoliciesRequest = {}
    if arns is not None:
        input_["arns"] = arns

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output

describe_scheduling_policies async ¶

describe_scheduling_policies `async` ¶