delete_monitor async ¶

async def delete_monitor(
    self,
    monitor_arn: "capo_forecast.types.arn.Arn",
    *,
    config_overrides: Optional[AsyncforecastClientConfig] = None,
) -> None:
    """<p>Deletes a monitor resource. You can only delete a monitor resource with a status of <code>ACTIVE</code>, <code>ACTIVE_STOPPED</code>, <code>CREATE_FAILED</code>, or <code>CREATE_STOPPED</code>.</p>

    Args:
        monitor_arn: <p>The Amazon Resource Name (ARN) of the monitor resource to delete.</p>

    Raises:
        capo_forecast.errors.invalid_input_exception.InvalidInputException: <p>We can't process the request because it includes an invalid value or a value that exceeds the valid range.</p>
        capo_forecast.errors.resource_in_use_exception.ResourceInUseException: <p>The specified resource is in use.</p>
        capo_forecast.errors.resource_not_found_exception.ResourceNotFoundException: <p>We can't find a resource with that Amazon Resource Name (ARN). Check the ARN and try again.</p>
        capo_forecast.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_forecast.types.delete_monitor_request.DeleteMonitorRequest]",
    ) -> AsyncOperationResponse[None]:
        import capo_forecast._operations.amazon_forecast.delete_monitor

        (
            output,
            http_response,
        ) = await capo_forecast._operations.amazon_forecast.delete_monitor.async_delete_monitor(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteMonitor")
    )
    input_: capo_forecast.types.delete_monitor_request.DeleteMonitorRequest = {
        "monitor_arn": monitor_arn
    }

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