untag_resource ¶

untag_resource(
    resource_arn: RtbTaggableResourceArn,
    tag_keys: TagKeyList,
    *,
    config_overrides: Optional[RTBFabricClientConfig] = None,
) -> UntagResourceResponse

Removes a tag or tags from a resource.

Parameters:

resource_arn (RtbTaggableResourceArn) –

The Amazon Resource Name (ARN) of the resource that you want to untag.
tag_keys (TagKeyList) –

The keys of the key-value pairs for the tag or tags you want to remove from the specified resource.

Raises:

AccessDeniedException –

The request could not be completed because you do not have sufficient access to perform this action.
InternalServerException –

The request could not be completed because of an internal server error. Try your call again.
ResourceNotFoundException –

The request could not be completed because the resource does not exist.
ThrottlingException –

The request was denied due to request throttling.
ValidationException –

The request could not be completed because it fails satisfy the constraints specified by the service.
UnknownServiceError –

The service returned an error code this client does not model.

Examples:

Remove tags from a resource Removes tags from a resource

>>> client.untag_resource(resource_arn='arn:aws:rtbfabric:us-east-1:123456789012:gateway/rtb-gw-12345678', tag_keys=['Environment', 'Team'])

Source code in docs_src/capo_rtbfabric/_services/rtb_fabric.py

def untag_resource(
    self,
    resource_arn: "capo_rtbfabric.types.rtb_taggable_resource_arn.RtbTaggableResourceArn",
    tag_keys: "capo_rtbfabric.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[RTBFabricClientConfig] = None,
) -> "capo_rtbfabric.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes a tag or tags from a resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource that you want to untag.</p>
        tag_keys: <p>The keys of the key-value pairs for the tag or tags you want to remove from the specified resource.</p>

    Raises:
        capo_rtbfabric.errors.access_denied_exception.AccessDeniedException: <p>The request could not be completed because you do not have sufficient access to perform this action.</p>
        capo_rtbfabric.errors.internal_server_exception.InternalServerException: <p>The request could not be completed because of an internal server error. Try your call again.</p>
        capo_rtbfabric.errors.resource_not_found_exception.ResourceNotFoundException: <p>The request could not be completed because the resource does not exist.</p>
        capo_rtbfabric.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_rtbfabric.errors.validation_exception.ValidationException: <p>The request could not be completed because it fails satisfy the constraints specified by the service.</p>
        capo_rtbfabric.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        Remove tags from a resource
        Removes tags from a resource

        >>> client.untag_resource(resource_arn='arn:aws:rtbfabric:us-east-1:123456789012:gateway/rtb-gw-12345678', tag_keys=['Environment', 'Team'])
    """

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

        output, http_response = (
            capo_rtbfabric._operations.rtb_fabric.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_rtbfabric.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