untag_resource async ¶

async def untag_resource(
    self,
    resource_arn: "capo_personalize.types.arn.Arn",
    tag_keys: "capo_personalize.types.tag_keys.TagKeys",
    *,
    config_overrides: Optional[AsyncPersonalizeClientConfig] = None,
) -> "capo_personalize.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes the specified tags that are attached to a resource. For more information, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/tags-remove.html">Removing tags from Amazon Personalize resources</a>.</p>

    Args:
        resource_arn: <p>The resource's Amazon Resource Name (ARN).</p>
        tag_keys: <p>The keys of the tags to be removed.</p>

    Raises:
        capo_personalize.errors.invalid_input_exception.InvalidInputException: <p>Provide a valid value for the field or parameter.</p>
        capo_personalize.errors.resource_in_use_exception.ResourceInUseException: <p>The specified resource is in use.</p>
        capo_personalize.errors.resource_not_found_exception.ResourceNotFoundException: <p>Could not find the specified resource.</p>
        capo_personalize.errors.too_many_tag_keys_exception.TooManyTagKeysException: <p>The request contains more tag keys than can be associated with a resource (50 tag keys per resource). </p>
        capo_personalize.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_personalize.types.untag_resource_request.UntagResourceRequest]",
    ) -> AsyncOperationResponse[
        "capo_personalize.types.untag_resource_response.UntagResourceResponse"
    ]:
        import capo_personalize._operations.amazon_personalize.untag_resource

        (
            output,
            http_response,
        ) = await capo_personalize._operations.amazon_personalize.untag_resource.async_untag_resource(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

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

        return capo_personalize.types.untag_resource_request.redact_sensitive(
            input_
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("UntagResource", redact_input=_redact_input),
    )
    input_: capo_personalize.types.untag_resource_request.UntagResourceRequest = {
        "resource_arn": resource_arn,
        "tag_keys": tag_keys,
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output