untag_resource ¶

def untag_resource(
    self,
    resource_arn: "capo_mpa.types.string.String",
    tag_keys: "capo_mpa.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[MPAClientConfig] = None,
) -> "capo_mpa.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes a resource tag. Each tag is a label consisting of a user-defined key and value. Tags can help you manage, identify, organize, search for, and filter resources. </p>

    Args:
        resource_arn: <p>Amazon Resource Name (ARN) for the resource you want to untag.</p>
        tag_keys: <p>Array of tag key-value pairs that you want to untag.</p>

    Raises:
        capo_mpa.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action. Check your permissions, and try again.</p>
        capo_mpa.errors.internal_server_exception.InternalServerException: <p>The service encountered an internal error. Try your request again. If the problem persists, contact Amazon Web Services Support.</p>
        capo_mpa.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource doesn't exist. Check the resource ID, and try again.</p>
        capo_mpa.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_mpa.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_mpa.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

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

        output, http_response = (
            capo_mpa._operations.aws_fluffy_core_service.untag_resource.untag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

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

        return capo_mpa.types.untag_resource_request.redact_sensitive(input_)

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