list_workflow_versions async ¶

async def list_workflow_versions(
    self,
    workflow_id: "capo_omics.types.workflow_id.WorkflowId",
    *,
    config_overrides: Optional[AsyncOmicsClientConfig] = None,
    type: Optional["capo_omics.types.workflow_type.WorkflowType"] = None,
    workflow_owner_id: Optional[
        "capo_omics.types.workflow_owner_id.WorkflowOwnerId"
    ] = None,
    starting_token: Optional[
        "capo_omics.types.workflow_version_list_token.WorkflowVersionListToken"
    ] = None,
    max_results: Optional[int] = None,
) -> (
    "capo_omics.types.list_workflow_versions_response.ListWorkflowVersionsResponse"
):
    """<p>Lists the workflow versions for the specified workflow. For more information, see <a href="https://docs.aws.amazon.com/omics/latest/dev/workflow-versions.html">Workflow versioning in Amazon Web Services HealthOmics</a> in the <i>Amazon Web Services HealthOmics User Guide</i>.</p>

    Args:
        workflow_id: <p>The workflow's ID. The <code>workflowId</code> is not the UUID.</p>
        type: <p>The workflow type.</p>
        workflow_owner_id: <p>The 12-digit account ID of the workflow owner. The workflow owner ID can be retrieved using the <code>GetShare</code> API operation. If you are the workflow owner, you do not need to include this ID.</p>
        starting_token: <p>Specify the pagination token from a previous request to retrieve the next page of results.</p>
        max_results: <p>The maximum number of workflows to return in one 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.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_omics.types.list_workflow_versions_request.ListWorkflowVersionsRequest]",
    ) -> AsyncOperationResponse[
        "capo_omics.types.list_workflow_versions_response.ListWorkflowVersionsResponse"
    ]:
        import capo_omics._operations.omics.list_workflow_versions

        (
            output,
            http_response,
        ) = await capo_omics._operations.omics.list_workflow_versions.async_list_workflow_versions(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListWorkflowVersions")
    )
    input_: capo_omics.types.list_workflow_versions_request.ListWorkflowVersionsRequest = {
        "workflow_id": workflow_id
    }
    if type is not None:
        input_["type"] = type
    if workflow_owner_id is not None:
        input_["workflow_owner_id"] = workflow_owner_id
    if starting_token is not None:
        input_["starting_token"] = starting_token
    if max_results is not None:
        input_["max_results"] = max_results

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