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untag_resource

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

Removes one or more tags from a resource.

Parameters:

  • resource_arn (Arn) –

    Amazon Resource Name (ARN) of the resource.

  • tag_keys (TagKeyList) –

    The keys of the tags you want to remove.

Raises:

  • AccessDeniedException –

    You don't have permissions to perform the requested operation. The user or role that is making the request must have at least one IAM permissions policy attached that grants the required permissions.

  • InternalServerException –

    This exception occurs when there is an internal failure in the Resilience Hub service.

  • ResourceNotFoundException –

    This exception occurs when the specified resource could not be found.

  • ThrottlingException –

    This exception occurs when you have exceeded the limit on the number of requests per second.

  • ValidationException –

    This exception occurs when a request is not valid.

  • UnknownServiceError –

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

Source code in docs_src/capo_resiliencehub/_services/resiliencehub.py
def untag_resource(
    self,
    resource_arn: "capo_resiliencehub.types.arn.Arn",
    tag_keys: "capo_resiliencehub.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[resiliencehubClientConfig] = None,
) -> "capo_resiliencehub.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes one or more tags from a resource.</p>

    Args:
        resource_arn: <p>Amazon Resource Name (ARN) of the resource. </p>
        tag_keys: <p>The keys of the tags you want to remove.</p>

    Raises:
        capo_resiliencehub.errors.access_denied_exception.AccessDeniedException: <p>You don't have permissions to perform the requested operation. The user or role that is making the request must have at least one IAM permissions policy attached that grants the required permissions.</p>
        capo_resiliencehub.errors.internal_server_exception.InternalServerException: <p>This exception occurs when there is an internal failure in the Resilience Hub service.</p>
        capo_resiliencehub.errors.resource_not_found_exception.ResourceNotFoundException: <p>This exception occurs when the specified resource could not be found.</p>
        capo_resiliencehub.errors.throttling_exception.ThrottlingException: <p>This exception occurs when you have exceeded the limit on the number of requests per second.</p>
        capo_resiliencehub.errors.validation_exception.ValidationException: <p>This exception occurs when a request is not valid.</p>
        capo_resiliencehub.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

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

        output, http_response = (
            capo_resiliencehub._operations.aws_resilience_hub.untag_resource.untag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_resiliencehub.types.untag_resource_request.UntagResourceRequest",
    ) -> dict[str, Any]:
        import capo_resiliencehub.types.untag_resource_request

        return capo_resiliencehub.types.untag_resource_request.redact_sensitive(
            input_
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("UntagResource", redact_input=_redact_input),
    )
    input_: capo_resiliencehub.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