def _add_top_level_metrics_and_dimensions_to_metrics_group(
self, top_level_metrics_map, top_level_dimensions_map,
metrics_type_map, metrics_group, dimension_was_empty):
"""
Add all top-level metrics and dimensions in the provided maps to the provided metrics_group.
Args:
top_level_metrics_map: The top level metrics map with values to add to the provided metrics_group.
top_level_dimensions_map: The top level dimensions map with values to add to the provided metrics_group.
metrics_type_map: The map containing the type values for each metric.
metrics_group: The metrics_group to which to add metrics and dimensions.
dimension_was_empty: Boolean representing whether an empty dimension has been found.
Returns:
The updated metrics_group and dimension_was_empty boolean.
"""
for metric in top_level_metrics_map:
metrics_group.add_metric(
metrics.PanoptesMetric(metric, top_level_metrics_map[metric],
metrics_type_map[metric]))
# "top_level" metrics don't have indices, so only non-indexed dimensions can be added
for dimension, value in list(top_level_dimensions_map.items()):
metrics_group, dimension_was_empty = self._add_dimension_to_metrics_group_if_not_empty(
dimension, value, metrics_group, dimension_was_empty)
return metrics_group, dimension_was_empty
def _process_metrics(self):
"""
If values for the provided oids in the enrichment configuration have been found, then form and populate metrics
groups and add to the plugin's PanoptesMetricsGroupSet.
"""
if self._oid_maps or self._snmpget_oid_map:
for metrics_group_map in self._config[u"metrics_groups"]:
dimension_was_empty = False
metrics_group_name = metrics_group_map[u"group_name"]
metrics_map, metrics_type_map, top_level_metrics_map = self._process_metrics_or_dimensions(
targets_type=u"metrics",
metrics_group_map=metrics_group_map)
dimensions_map, _, top_level_dimensions_map = self._process_metrics_or_dimensions(
targets_type=u"dimensions",
metrics_group_map=metrics_group_map)
if len(metrics_map) > 0:
for index in metrics_map:
metrics_group = metrics.PanoptesMetricsGroup(
self._device, metrics_group_name,
self._execute_frequency)
for metric, value in list(metrics_map[index].items()):
if metric in metrics_type_map:
metrics_group.add_metric(
metrics.PanoptesMetric(
metric, value,
metrics_type_map[metric]))
if index in dimensions_map:
for dimension, value in list(
dimensions_map[index].items()):
metrics_group, dimension_was_empty = \
self._add_dimension_to_metrics_group_if_not_empty(dimension,
value,
metrics_group,
dimension_was_empty)
for dimension, value in list(
top_level_dimensions_map.items()):
metrics_group, dimension_was_empty = self._add_dimension_to_metrics_group_if_not_empty(
dimension, value, metrics_group,
dimension_was_empty)
if self._enrichment_schema_version == u"0.2":
# "top level" metrics
if len(top_level_metrics_map) > 0:
metrics_group, dimension_was_empty = \
self._add_top_level_metrics_and_dimensions_to_metrics_group(
top_level_metrics_map,
top_level_dimensions_map,
metrics_type_map,
metrics_group,
dimension_was_empty)
if self._enrichment_schema_version == u"0.1":
if len(metrics_group.metrics) > 0:
self._add_metrics_group_if_allowed(
metrics_group, metrics_group_map,
metrics_group_name, dimension_was_empty)
else:
self._add_metrics_group_if_allowed(
metrics_group, metrics_group_map,
metrics_group_name, dimension_was_empty)
if self._enrichment_schema_version == u"0.1":
metrics_group = metrics.PanoptesMetricsGroup(
self._device, metrics_group_name,
self._execute_frequency)
if len(top_level_metrics_map) > 0:
metrics_group, dimension_was_empty = \
self._add_top_level_metrics_and_dimensions_to_metrics_group(top_level_metrics_map,
top_level_dimensions_map,
metrics_type_map,
metrics_group,
dimension_was_empty)
if len(metrics_group.metrics) > 0:
self._add_metrics_group_if_allowed(
metrics_group, metrics_group_map,
metrics_group_name, dimension_was_empty)
else: # Add only "top level" metrics for a given metrics group
# "top level" metrics
metrics_group = metrics.PanoptesMetricsGroup(
self._device, metrics_group_name,
self._execute_frequency)
if len(top_level_metrics_map) > 0:
metrics_group, dimension_was_empty = \
self._add_top_level_metrics_and_dimensions_to_metrics_group(top_level_metrics_map,
top_level_dimensions_map,
metrics_type_map,
metrics_group,
dimension_was_empty)
if self._enrichment_schema_version == u"0.1":
if len(metrics_group.metrics) > 0:
self._add_metrics_group_if_allowed(
metrics_group, metrics_group_map,
metrics_group_name, dimension_was_empty)
else:
self._add_metrics_group_if_allowed(
metrics_group, metrics_group_map,
metrics_group_name, dimension_was_empty)
else:
raise ValueError(
u"self._oid_maps and self._snmpget_oid_map are empty or None.")