Some metrics contains conditions, labels that have "condition" as name and "true", "false", or "unknown"
        as value. The metric value is expected to be a gauge equal to 0 or 1 in this case.
        For example:

        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

def _condition_to_service_check(self, sample, sc_name, mapping, tags=None):
        """
        Some metrics contains conditions, labels that have "condition" as name and "true", "false", or "unknown"
        as value. The metric value is expected to be a gauge equal to 0 or 1 in this case.
        For example:

        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
        """
        if bool(sample[self.SAMPLE_VALUE]) is False:
            return  # Ignore if gauge is not 1
        condition = sample[self.SAMPLE_LABELS].get('condition')
        if condition:
            if condition in mapping:
                self.service_check(sc_name, mapping[condition], tags=tags)
            else:
                self.log.debug("Unable to handle %s - unknown condition %s" % (sc_name, condition))