untag_resource ¶

def untag_resource(
    self,
    resource_arn: "capo_chatbot.types.amazon_resource_name.AmazonResourceName",
    tag_keys: "capo_chatbot.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[chatbotClientConfig] = None,
) -> "capo_chatbot.types.untag_resource_response.UntagResourceResponse":
    """<p>Detaches a key-value pair from a resource, as identified by its Amazon Resource Name (ARN). Resources are users, servers, roles, and other entities.</p>

    Args:
        resource_arn: <p>The value of the resource that will have the tag removed. An Amazon Resource Name (ARN) is an identifier for a specific AWS resource, such as a server, user, or role.</p>
        tag_keys: <p>TagKeys are key-value pairs assigned to ARNs that can be used to group and search for resources by type. This metadata can be attached to resources for any purpose.</p>

    Raises:
        capo_chatbot.errors.internal_service_error.InternalServiceError: <p>Unexpected error during processing of request.</p>
        capo_chatbot.errors.resource_not_found_exception.ResourceNotFoundException: <p>We were unable to find the resource for your request</p>
        capo_chatbot.errors.service_unavailable_exception.ServiceUnavailableException: <p>We can’t process your request right now because of a server issue. Try again later.</p>
        capo_chatbot.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_chatbot.types.untag_resource_request.UntagResourceRequest]",
    ) -> OperationResponse[
        "capo_chatbot.types.untag_resource_response.UntagResourceResponse"
    ]:
        import capo_chatbot._operations.wheatley_orchestration_20171011.untag_resource

        output, http_response = (
            capo_chatbot._operations.wheatley_orchestration_20171011.untag_resource.untag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UntagResource")
    )
    input_: capo_chatbot.types.untag_resource_request.UntagResourceRequest = {
        "resource_arn": resource_arn,
        "tag_keys": tag_keys,
    }

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