Ejemplo n.º 1
0
    def execute(self, query, rid=None):
        # Request data given a simple target expression.
        data = BaseStatsHandler(rid).get_stats(metric=query.target,
                                               start=self.start,
                                               stop=self.stop)

        # If response is empty, then data is absent for the given interval.
        if not len(data):
            log.warning('No datapoints for %s.%s', rid, query.target)
            return None, None

        # Check whether the query to InfluxDB returned multiple series.
        if len(data) > 1:
            log.error('Got multiple series for %s.%s', rid, query.target)
            raise methods.MultipleSeriesReturnedError()

        # Ensure requested and returned measurements/columns match.
        data = data.values()[0]
        target = query.target.split('.')
        if data['measurement'] != target[0] or data['column'] != target[-1]:
            log.error('Got %s while expecting %s', data['name'], query.target)
            raise methods.RequestedTargetMismatchError()

        # Sanitize datapoints.
        datapoints = [val for val, _ in data['datapoints'] if val is not None]

        # Compare against the threshold and compute retval.
        return methods.compute(query.operator, query.aggregation, datapoints,
                               query.threshold)
Ejemplo n.º 2
0
    def execute(self, query, rid=None):
        # Request data given a simple target expression.
        data = hrs.MultiHandler(rid).get_data(query.target, start=self.window)

        # No data ever reached Graphite? Is the whisper file missing?
        if not len(data):
            log.warning('Empty response for %s.%s', rid, query.target)
            raise methods.EmptyResponseReturnedError()

        # Check whether the query to Graphite returned multiple series. This
        # should never occur actually, since the query's target belongs to a
        # pre-defined list of allowed targets which are quaranteed to return
        # a single series.
        if len(data) > 1:
            log.warning('Got multiple series for %s.%s', rid, query.target)
            raise methods.MultipleSeriesReturnedError()

        # Ensure requested and returned targets match.
        data = data[0]
        target = data['_requested_target']
        if target != query.target:
            log.warning('Got %s while expecting %s', target, query.target)
            raise methods.RequestedTargetMismatchError()

        # Clean datapoints of None values.
        datapoints = [val for val, _ in data['datapoints'] if val is not None]
        if not datapoints:
            log.warning('No datapoints for %s.%s', rid, query.target)
            return None, None

        # Compare against the threshold and compute retval.
        triggered, retval = methods.compute(query.operator, query.aggregation,
                                            datapoints, query.threshold)
        return triggered, retval
Ejemplo n.º 3
0
    def execute(self, query, rid=None):
        # Request data given a simple target expression.
        from mist.api.models import Machine
        m = Machine.objects.get(id=rid)
        data = fdb_methods.get_stats(machine=m,
                                     start=self.start,
                                     stop=self.stop,
                                     metrics=[
                                         "fetch(\"{id}." + query.target +
                                         "\", start=\"{start}\"" +
                                         ", stop=\"{stop}\"" +
                                         ", step=\"{step}\")"])

        # No data ever reached Graphite? Is the whisper file missing?
        if not len(data):
            log.warning('Empty response for %s.%s', rid, query.target)
            raise methods.EmptyResponseReturnedError()

        # Check whether the query to Graphite returned multiple series. This
        # should never occur actually, since the query's target belongs to a
        # pre-defined list of allowed targets which are quaranteed to return
        # a single series.
        if len(data) > 1:
            log.warning('Got multiple series for %s.%s', rid, query.target)
            raise methods.MultipleSeriesReturnedError()

        # Ensure requested and returned targets match.
        target = list(data.keys())[0]
        data = list(data.values())[0]
        if target != query.target:
            log.warning('Got %s while expecting %s', target, query.target)
            raise methods.RequestedTargetMismatchError()

        # Clean datapoints of None values.
        datapoints = [val for val, _ in data['datapoints'] if val is not None]
        if not datapoints:
            log.warning('No datapoints for %s.%s', rid, query.target)
            return None, None

        # Compare against the threshold and compute retval.
        return methods.compute(query.operator, query.aggregation, datapoints,
                               query.threshold)