tag_resource ¶

def tag_resource(
    self,
    arn: "capo_connectcampaigns.types.arn.Arn",
    tags: "capo_connectcampaigns.types.tag_map.TagMap",
    *,
    config_overrides: Optional[ConnectCampaignsClientConfig] = None,
) -> None:
    """Tag a resource.

    Raises:
        capo_connectcampaigns.errors.access_denied_exception.AccessDeniedException: You do not have sufficient access to perform this action.
        capo_connectcampaigns.errors.internal_server_exception.InternalServerException: Request processing failed because of an error or failure with the service.
        capo_connectcampaigns.errors.resource_not_found_exception.ResourceNotFoundException: The specified resource was not found.
        capo_connectcampaigns.errors.throttling_exception.ThrottlingException: The request was denied due to request throttling.
        capo_connectcampaigns.errors.validation_exception.ValidationException: The input fails to satisfy the constraints specified by an AWS service.
        capo_connectcampaigns.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_connectcampaigns.types.tag_resource_request.TagResourceRequest]",
    ) -> OperationResponse[None]:
        import capo_connectcampaigns._operations.amazon_connect_campaign_service.tag_resource

        output, http_response = (
            capo_connectcampaigns._operations.amazon_connect_campaign_service.tag_resource.tag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("TagResource")
    )
    input_: capo_connectcampaigns.types.tag_resource_request.TagResourceRequest = {
        "arn": arn,
        "tags": tags,
    }

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