code: def _condition_to_tag_check(self, sample, base_sc_name, mapping, scraper_config, tags=None):
          
          if bool(sample[self.SAMPLE_VALUE]) is False:
              return  # Ignore if gauge is not 1 and we are not processing the pod phase check
  
          label_value, condition_map = self._get_metric_condition_map(base_sc_name, sample[self.SAMPLE_LABELS])
          service_check_name = condition_map['service_check_name']
          mapping = condition_map['mapping']
  
          node = self._label_to_tag('node', sample[self.SAMPLE_LABELS], scraper_config)
          condition = self._label_to_tag('condition', sample[self.SAMPLE_LABELS], scraper_config)
          message = "{} is currently reporting {} = {}".format(node, condition, label_value)
  
          if condition_map['service_check_name'] is None:
              self.log.debug("Unable to handle {} - unknown condition {}".format(service_check_name, label_value))
          else:
              self.service_check(service_check_name, mapping[label_value], tags=tags, message=message)
docs: Metrics from kube-state-metrics have changed
          For example:
          kube_node_status_condition{condition="Ready",node="ip-172-33-39-189.eu-west-1.compute",status="true"} 1
          kube_node_status_condition{condition="OutOfDisk",node="ip-172-33-57-130.eu-west-1.compute",status="false"} 1
          metric {
            label { name: "condition", value: "true"
            }
            # other labels here
            gauge { value: 1.0 }
          }
  
          This function evaluates metrics containing conditions and sends a service check
          based on a provided condition->check mapping dict