list_configurations ¶

list_configurations(
    *,
    config_overrides: Optional[OmicsClientConfig] = None,
    max_results: Optional[int] = None,
    starting_token: Optional[ConfigurationListToken] = None,
) -> ListConfigurationsResponse

List all configurations for the account.

Parameters:

max_results (Optional[int], default: None ) –

Maximum number of results to return.
starting_token (Optional[ConfigurationListToken], default: None ) –

Pagination token for retrieving next page of results.

Raises:

AccessDeniedException –

You do not have sufficient access to perform this action.
ConflictException –

The request cannot be applied to the target resource in its current state.
InternalServerException –

An unexpected error occurred. Try the request again.
RequestTimeoutException –

The request timed out.
ResourceNotFoundException –

The target resource was not found in the current Region.
ServiceQuotaExceededException –

The request exceeds a service quota.
ThrottlingException –

The request was denied due to request throttling.
ValidationException –

The input fails to satisfy the constraints specified by an Amazon Web Services service.
UnknownServiceError –

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

Source code in docs_src/capo_omics/_services/omics.py

def list_configurations(
    self,
    *,
    config_overrides: Optional[OmicsClientConfig] = None,
    max_results: Optional[int] = None,
    starting_token: Optional[
        "capo_omics.types.configuration_list_token.ConfigurationListToken"
    ] = None,
) -> "capo_omics.types.list_configurations_response.ListConfigurationsResponse":
    """<p>List all configurations for the account.</p>

    Args:
        max_results: <p>Maximum number of results to return.</p>
        starting_token: <p>Pagination token for retrieving next page of results.</p>

    Raises:
        capo_omics.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_omics.errors.conflict_exception.ConflictException: <p>The request cannot be applied to the target resource in its current state.</p>
        capo_omics.errors.internal_server_exception.InternalServerException: <p>An unexpected error occurred. Try the request again.</p>
        capo_omics.errors.request_timeout_exception.RequestTimeoutException: <p>The request timed out.</p>
        capo_omics.errors.resource_not_found_exception.ResourceNotFoundException: <p>The target resource was not found in the current Region.</p>
        capo_omics.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The request exceeds a service quota.</p>
        capo_omics.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_omics.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_omics.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_omics.types.list_configurations_request.ListConfigurationsRequest]",
    ) -> OperationResponse[
        "capo_omics.types.list_configurations_response.ListConfigurationsResponse"
    ]:
        import capo_omics._operations.omics.list_configurations

        output, http_response = (
            capo_omics._operations.omics.list_configurations.list_configurations(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListConfigurations")
    )
    input_: capo_omics.types.list_configurations_request.ListConfigurationsRequest = {}
    if max_results is not None:
        input_["max_results"] = max_results
    if starting_token is not None:
        input_["starting_token"] = starting_token

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output