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untag_resource

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

Removes a specific tag from a given resource. The tag is specified by its key.

Parameters:

  • resource_arn (AmazonResourceArn) –

    The Amazon Resource Name (ARN) of the resource to which the tag is currently associated.

  • tag_keys (TagKeyList) –

    Specifies the key of the tag to be removed from a specified resource.

Raises:

  • AccessDeniedException –

    The request could not be completed because you do not have access to the resource.

  • InternalServerException –

    Processing of the request has failed because of an unknown error, exception or failure.

  • ResourceNotFoundException –

    The resource requested could not be found. Verify the resource ID and retry your request.

  • ThrottlingException –

    The request was denied due to request throttling.

  • ValidationException –

    The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related Amazon Web Services service that's being utilized.

  • UnknownServiceError –

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

Source code in docs_src/capo_lookoutequipment/_services/lookout_equipment.py
def untag_resource(
    self,
    resource_arn: "capo_lookoutequipment.types.amazon_resource_arn.AmazonResourceArn",
    tag_keys: "capo_lookoutequipment.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[LookoutEquipmentClientConfig] = None,
) -> "capo_lookoutequipment.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes a specific tag from a given resource. The tag is specified by its key. </p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource to which the tag is currently associated. </p>
        tag_keys: <p>Specifies the key of the tag to be removed from a specified resource. </p>

    Raises:
        capo_lookoutequipment.errors.access_denied_exception.AccessDeniedException: <p>The request could not be completed because you do not have access to the resource. </p>
        capo_lookoutequipment.errors.internal_server_exception.InternalServerException: <p> Processing of the request has failed because of an unknown error, exception or failure. </p>
        capo_lookoutequipment.errors.resource_not_found_exception.ResourceNotFoundException: <p> The resource requested could not be found. Verify the resource ID and retry your request. </p>
        capo_lookoutequipment.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_lookoutequipment.errors.validation_exception.ValidationException: <p> The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related Amazon Web Services service that's being utilized. </p>
        capo_lookoutequipment.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

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

        output, http_response = (
            capo_lookoutequipment._operations.aws_lookout_equipment_frontend_service.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_lookoutequipment.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