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untag_resource

untag_resource(
    resource_arn: __string,
    *,
    config_overrides: Optional[schemasClientConfig] = None,
    tag_keys: Optional[__listOf__string] = None,
) -> None

Removes tags from a resource.

Parameters:

Raises:

Source code in docs_src/capo_schemas/_services/schemas.py
def untag_resource(
    self,
    resource_arn: "capo_schemas.types.__string.__string",
    *,
    config_overrides: Optional[schemasClientConfig] = None,
    tag_keys: Optional[
        "capo_schemas.types.__list_of__string.__listOf__string"
    ] = None,
) -> None:
    """<p>Removes tags from a resource.</p>

    Args:
        resource_arn: <p>The ARN of the resource.</p>
        tag_keys: <p>Keys of key-value pairs.</p>

    Raises:
        capo_schemas.errors.bad_request_exception.BadRequestException
        capo_schemas.errors.forbidden_exception.ForbiddenException
        capo_schemas.errors.internal_server_error_exception.InternalServerErrorException
        capo_schemas.errors.not_found_exception.NotFoundException
        capo_schemas.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_schemas.types.untag_resource_request.UntagResourceRequest]",
    ) -> OperationResponse[None]:
        import capo_schemas._operations.schemas.untag_resource

        output, http_response = (
            capo_schemas._operations.schemas.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_schemas.types.untag_resource_request.UntagResourceRequest = {
        "resource_arn": resource_arn
    }
    if tag_keys is not None:
        input_["tag_keys"] = tag_keys

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output