For each metric in the message, report it as a gauge with all labels as tags
        except if a labels dict is passed, in which case keys are label names we'll extract
        and corresponding values are tag names we'll use (eg: {'node': 'node'}).

        Histograms generate a set of values instead of a unique metric.
        send_histograms_buckets is used to specify if yes or no you want to
            send the buckets as tagged values when dealing with histograms.

        `custom_tags` is an array of 'tag:value' that will be added to the
        metric when sending the gauge to Datadog.

def _submit(
        self,
        metric_name,
        message,
        send_histograms_buckets=True,
        send_monotonic_counter=False,
        custom_tags=None,
        hostname=None,
    ):
        """
        For each metric in the message, report it as a gauge with all labels as tags
        except if a labels dict is passed, in which case keys are label names we'll extract
        and corresponding values are tag names we'll use (eg: {'node': 'node'}).

        Histograms generate a set of values instead of a unique metric.
        send_histograms_buckets is used to specify if yes or no you want to
            send the buckets as tagged values when dealing with histograms.

        `custom_tags` is an array of 'tag:value' that will be added to the
        metric when sending the gauge to Datadog.
        """
        if message.type < len(self.METRIC_TYPES):
            for metric in message.metric:
                custom_hostname = self._get_hostname(hostname, metric)
                if message.type == 0:
                    val = getattr(metric, self.METRIC_TYPES[message.type]).value
                    if self._is_value_valid(val):
                        if send_monotonic_counter:
                            self._submit_monotonic_count(metric_name, val, metric, custom_tags, custom_hostname)
                        else:
                            self._submit_gauge(metric_name, val, metric, custom_tags, custom_hostname)
                    else:
                        self.log.debug("Metric value is not supported for metric {}.".format(metric_name))
                elif message.type == 4:
                    self._submit_gauges_from_histogram(
                        metric_name, metric, send_histograms_buckets, custom_tags, custom_hostname
                    )
                elif message.type == 2:
                    self._submit_gauges_from_summary(metric_name, metric, custom_tags, custom_hostname)
                else:
                    val = getattr(metric, self.METRIC_TYPES[message.type]).value
                    if self._is_value_valid(val):
                        if message.name in self.rate_metrics:
                            self._submit_rate(metric_name, val, metric, custom_tags, custom_hostname)
                        else:
                            self._submit_gauge(metric_name, val, metric, custom_tags, custom_hostname)
                    else:
                        self.log.debug("Metric value is not supported for metric {}.".format(metric_name))

        else:
            self.log.error("Metric type {} unsupported for metric {}.".format(message.type, message.name))