untag_resource ¶

def untag_resource(
    self,
    resource_arn: "capo_timestream_influxdb.types.arn.Arn",
    tag_keys: "capo_timestream_influxdb.types.tag_keys.TagKeys",
    *,
    config_overrides: Optional[TimestreamInfluxDBClientConfig] = None,
) -> None:
    """<p>Removes the tag from the specified resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the tagged resource.</p>
        tag_keys: <p>The keys used to identify the tags.</p>

    Raises:
        capo_timestream_influxdb.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource was not found or does not exist.</p>
        capo_timestream_influxdb.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_timestream_influxdb.types.untag_resource_request.UntagResourceRequest]",
    ) -> OperationResponse[None]:
        import capo_timestream_influxdb._operations.amazon_timestream_influx_db.untag_resource

        output, http_response = (
            capo_timestream_influxdb._operations.amazon_timestream_influx_db.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_timestream_influxdb.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