list_iam_policy_assignments_for_user async ¶

async def list_iam_policy_assignments_for_user(
    self,
    aws_account_id: "capo_quicksight.types.aws_account_id.AwsAccountId",
    user_name: "capo_quicksight.types.user_name.UserName",
    namespace: "capo_quicksight.types.namespace.Namespace",
    *,
    config_overrides: Optional[AsyncQuickSightClientConfig] = None,
    next_token: Optional["capo_quicksight.types.string.String"] = None,
    max_results: Optional["capo_quicksight.types.max_results.MaxResults"] = None,
) -> "capo_quicksight.types.list_iam_policy_assignments_for_user_response.ListIAMPolicyAssignmentsForUserResponse":
    """<p>Lists all of the IAM policy assignments, including the Amazon Resource Names (ARNs), for the IAM policies assigned to the specified user and group, or groups that the user belongs to.</p>

    Args:
        aws_account_id: <p>The ID of the Amazon Web Services account that contains the assignments.</p>
        user_name: <p>The name of the user.</p>
        next_token: <p>The token for the next set of results, or null if there are no more results.</p>
        max_results: <p>The maximum number of results to be returned per request.</p>
        namespace: <p>The namespace of the assignment.</p>

    Raises:
        capo_quicksight.errors.access_denied_exception.AccessDeniedException: <p>You don't have access to this item. The provided credentials couldn't be validated. You might not be authorized to carry out the request. Make sure that your account is authorized to use the Amazon Quick Sight service, that your policies have the correct permissions, and that you are using the correct credentials.</p>
        capo_quicksight.errors.concurrent_updating_exception.ConcurrentUpdatingException: <p>A resource is already in a state that indicates an operation is happening that must complete before a new update can be applied.</p>
        capo_quicksight.errors.internal_failure_exception.InternalFailureException: <p>An internal failure occurred.</p>
        capo_quicksight.errors.invalid_parameter_value_exception.InvalidParameterValueException: <p>One or more parameters has a value that isn't valid.</p>
        capo_quicksight.errors.resource_exists_exception.ResourceExistsException: <p>The resource specified already exists. </p>
        capo_quicksight.errors.resource_not_found_exception.ResourceNotFoundException: <p>One or more resources can't be found.</p>
        capo_quicksight.errors.throttling_exception.ThrottlingException: <p>Access is throttled.</p>
        capo_quicksight.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_quicksight.types.list_iam_policy_assignments_for_user_request.ListIAMPolicyAssignmentsForUserRequest]",
    ) -> AsyncOperationResponse[
        "capo_quicksight.types.list_iam_policy_assignments_for_user_response.ListIAMPolicyAssignmentsForUserResponse"
    ]:
        import capo_quicksight._operations.quick_sight_20180401.list_iam_policy_assignments_for_user

        (
            output,
            http_response,
        ) = await capo_quicksight._operations.quick_sight_20180401.list_iam_policy_assignments_for_user.async_list_iam_policy_assignments_for_user(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListIAMPolicyAssignmentsForUser")
    )
    input_: capo_quicksight.types.list_iam_policy_assignments_for_user_request.ListIAMPolicyAssignmentsForUserRequest = {
        "aws_account_id": aws_account_id,
        "user_name": user_name,
        "namespace": namespace,
    }
    if next_token is not None:
        input_["next_token"] = next_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