publish_metrics async ¶

async def publish_metrics(
    self,
    environment_name: "capo_mwaa.types.environment_name.EnvironmentName",
    metric_data: "capo_mwaa.types.metric_data.MetricData",
    *,
    config_overrides: Optional[AsyncMWAAClientConfig] = None,
) -> "capo_mwaa.types.publish_metrics_output.PublishMetricsOutput":
    """<p> <b>Internal only</b>. Publishes environment health metrics to Amazon CloudWatch.</p>

    Args:
        environment_name: <p> <b>Internal only</b>. The name of the environment.</p>
        metric_data: <p> <b>Internal only</b>. Publishes metrics to Amazon CloudWatch. To learn more about the metrics published to Amazon CloudWatch, see <a href="https://docs.aws.amazon.com/mwaa/latest/userguide/cw-metrics.html">Amazon MWAA performance metrics in Amazon CloudWatch</a>.</p>

    Raises:
        capo_mwaa.errors.internal_server_exception.InternalServerException: <p>InternalServerException: An internal error has occurred.</p>
        capo_mwaa.errors.validation_exception.ValidationException: <p>ValidationException: The provided input is not valid.</p>
        capo_mwaa.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_mwaa.types.publish_metrics_input.PublishMetricsInput]",
    ) -> AsyncOperationResponse[
        "capo_mwaa.types.publish_metrics_output.PublishMetricsOutput"
    ]:
        import capo_mwaa._operations.amazon_mwaa.publish_metrics

        (
            output,
            http_response,
        ) = await capo_mwaa._operations.amazon_mwaa.publish_metrics.async_publish_metrics(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("PublishMetrics")
    )
    input_: capo_mwaa.types.publish_metrics_input.PublishMetricsInput = {
        "environment_name": environment_name,
        "metric_data": metric_data,
    }

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