code: def _process_container_metric(self, type, metric_name, metric, scraper_config):
          
          if metric.type not in METRIC_TYPES:
              self.log.error("Metric type %s unsupported for metric %s" % (metric.type, metric.name))
              return
  
          samples = self._sum_values_by_context(metric, self._get_entity_id_if_container_metric)
          for c_id, sample in iteritems(samples):
              pod_uid = self._get_pod_uid(sample[self.SAMPLE_LABELS])
              if self.pod_list_utils.is_excluded(c_id, pod_uid):
                  continue
  
              tags = tagger.tag(c_id, tagger.HIGH)
              tags += scraper_config['custom_tags']
  
              # FIXME we are forced to do that because the Kubelet PodList isn't updated
              # for static pods, see https://github.com/kubernetes/kubernetes/pull/59948
              pod = self._get_pod_by_metric_label(sample[self.SAMPLE_LABELS])
              if pod is not None and is_static_pending_pod(pod):
                  tags += tagger.tag('kubernetes_pod://%s' % pod["metadata"]["uid"], tagger.HIGH)
                  tags += self._get_kube_container_name(sample[self.SAMPLE_LABELS])
                  tags = list(set(tags))
  
              val = sample[self.SAMPLE_VALUE]
  
              if "rate" == type:
                  self.rate(metric_name, val, tags)
              elif "gauge" == type:
                  self.gauge(metric_name, val, tags)
docs: Takes a simple metric about a container, reports it as a rate or gauge.
          If several series are found for a given container, values are summed before submission.