untag_resource ¶

def untag_resource(
    self,
    resource_arn: "capo_athena.types.amazon_resource_name.AmazonResourceName",
    tag_keys: "capo_athena.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[AthenaClientConfig] = None,
) -> "capo_athena.types.untag_resource_output.UntagResourceOutput":
    """<p>Removes one or more tags from an Athena resource.</p>

    Args:
        resource_arn: <p>Specifies the ARN of the resource from which tags are to be removed.</p>
        tag_keys: <p>A comma-separated list of one or more tag keys whose tags are to be removed from the specified resource.</p>

    Raises:
        capo_athena.errors.internal_server_exception.InternalServerException: <p>Indicates a platform issue, which may be due to a transient condition or outage.</p>
        capo_athena.errors.invalid_request_exception.InvalidRequestException: <p>Indicates that something is wrong with the input to the request. For example, a required parameter may be missing or out of range.</p>
        capo_athena.errors.resource_not_found_exception.ResourceNotFoundException: <p>A resource, such as a workgroup, was not found.</p>
        capo_athena.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_athena.types.untag_resource_input.UntagResourceInput]",
    ) -> OperationResponse[
        "capo_athena.types.untag_resource_output.UntagResourceOutput"
    ]:
        import capo_athena._operations.amazon_athena.untag_resource

        output, http_response = (
            capo_athena._operations.amazon_athena.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_athena.types.untag_resource_input.UntagResourceInput = {
        "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