def _buildMetric(self, context, dp, cf, extraRpn="", format=""):
datasource = dp.datasource()
dsId = datasource.id
info = IInfo(dp)
# find out our aggregation function
agg = AGGREGATION_MAPPING.get(cf.lower(), cf.lower())
rateOptions = info.getRateOptions()
tags = self._buildTagsFromContextAndMetric(context, dsId)
metricname = dp.name()
key = self._get_key_from_tags(tags)
search = _devname_pattern.match(key)
if search:
metricname = metrics.ensure_prefix(context.getMetricMetadata(),
metricname)
name = context.getResourceKey() + "|" + dp.name()
metric = dict(metric=metricname,
aggregator=agg,
tags=tags,
rate=info.rate,
name=name)
combined_metric = [metric]
if rateOptions:
metric['rateOptions'] = rateOptions
if extraRpn:
metric['emit'] = 'false'
metric['name'] = "{}-raw".format(dp.name())
new_metric = dict(expression="rpn:{}-raw,{}".format(
dp.name(), extraRpn),
format=format,
name=name)
combined_metric.append(new_metric)
else:
metric['format'] = format
return combined_metric
def _buildMetric(self, context, dp, cf, extraRpn="", format=""):
datasource = dp.datasource()
dsId = datasource.id
info = IInfo(dp)
# find out our aggregation function
agg = AGGREGATION_MAPPING.get(cf.lower(), cf.lower())
rateOptions = info.getRateOptions()
tags = self._buildTagsFromContextAndMetric(context, dsId)
metricname = dp.name()
key = self._get_key_from_tags(tags)
search = _devname_pattern.match(key)
if search:
prefix = search.groups()[0]
metricname = metrics.ensure_prefix(prefix, metricname)
metric = dict(
metric=metricname,
aggregator=agg,
rpn=extraRpn,
format=format,
tags=tags,
rate=info.rate,
name=context.getResourceKey() + "|" + dp.name()
)
if rateOptions:
metric['rateOptions'] = rateOptions
return metric
def _buildMetric(self, context, dp, cf, extraRpn="", format=""):
datasource = dp.datasource()
dsId = datasource.id
info = IInfo(dp)
# find out our aggregation function
agg = AGGREGATION_MAPPING.get(cf.lower(), cf.lower())
rateOptions = info.getRateOptions()
tags = self._buildTagsFromContextAndMetric(context, dsId)
metricname = dp.name()
key = self._get_key_from_tags(tags)
search = _devname_pattern.match(key)
if search:
prefix = search.groups()[0]
metricname = metrics.ensure_prefix(prefix, metricname)
metric = dict(metric=metricname,
aggregator=agg,
rpn=extraRpn,
format=format,
tags=tags,
rate=info.rate,
name=context.getResourceKey() + "|" + dp.name())
if rateOptions:
metric['rateOptions'] = rateOptions
return metric
def _buildMetric(self, context, dp, cf, extraRpn="", format=""):
datasource = dp.datasource()
dsId = datasource.id
info = IInfo(dp)
# find out our aggregation function
agg = AGGREGATION_MAPPING.get(cf.lower(), cf.lower())
rateOptions = info.getRateOptions()
tags = self._buildTagsFromContextAndMetric(context, dsId)
metric = dict(
metric=dp.id,
aggregator=agg,
rpn=extraRpn,
format=format,
tags=tags,
rate=info.rate,
name=context.getUUID() + "_" + dp.id
)
if rateOptions:
metric['rateOptions'] = rateOptions
return metric
def _buildMetric(self, context, dp, cf, extraRpn="", format=""):
datasource = dp.datasource()
dsId = datasource.id
info = IInfo(dp)
# find out our aggregation function
agg = AGGREGATION_MAPPING.get(cf.lower(), cf.lower())
rateOptions = info.getRateOptions()
tags = self._buildTagsFromContextAndMetric(context, dsId)
metricname = dp.name()
key = self._get_key_from_tags(tags)
search = _devname_pattern.match(key)
if search:
metricname = metrics.ensure_prefix(context.getMetricMetadata(), metricname)
name = context.getResourceKey() + "|" + dp.name()
metric = dict(
metric=metricname,
aggregator=agg,
tags=tags,
rate=info.rate,
name=name
)
combined_metric = [metric]
if rateOptions:
metric['rateOptions'] = rateOptions
if extraRpn:
metric['emit'] = 'false'
metric['name'] = "{}-raw".format(dp.name())
new_metric = dict(
expression="rpn:{}-raw,{}".format(dp.name(), extraRpn),
format=format,
name=name
)
combined_metric.append(new_metric)
else:
metric['format'] = format
return combined_metric
