def _add_subject_details(event, metric, varmap):
obj = lookup(metric)
if obj:
try:
varmap['subject'] = "{table}:{pk}".format(
table=getattr(obj, '_meta').db_table,
pk=obj.pk)
except AttributeError:
pass # probably wasn't a Django model object, fuhgeddaboutit
if isinstance(obj, Netbox):
event.netbox = obj
else:
try:
event.netbox = obj.netbox
except AttributeError:
pass
try:
event.device = obj.device
except AttributeError:
try:
event.device = obj.netbox.device
except AttributeError:
pass
if isinstance(obj, Interface):
varmap['interface'] = obj.ifname
elif isinstance(obj, Sensor):
varmap['sensor'] = obj.name
def get_sensor_meta(metric_path):
"""
Returns meta information for drawing a Sensor metric graph annotated with
the correct yUnits, among other things.
"""
from nav.models.manage import Sensor
from nav.metrics.lookup import lookup
sensor = lookup(metric_path)
if not sensor:
return dict()
assert isinstance(sensor, Sensor)
alias = (
sensor.human_readable.replace("\n", " ")
if sensor.human_readable
else sensor.name
)
meta = dict(alias=alias)
scale = (
sensor.get_data_scale_display()
if sensor.data_scale != sensor.SCALE_UNITS
else None
) or ''
uom = (
sensor.unit_of_measurement
if sensor.unit_of_measurement != sensor.UNIT_OTHER
else None
) or ''
meta['unit'] = scale + uom
return meta
def _add_subject_details(event, metric, varmap):
obj = lookup(metric)
if obj:
varmap['subject'] = "{table}:{pk}".format(
table=getattr(obj, '_meta').db_table,
pk=obj.pk)
if isinstance(obj, Netbox):
event.netbox = obj
else:
try:
event.netbox = obj.netbox
except AttributeError:
pass
try:
event.device = obj.device
except AttributeError:
try:
event.device = obj.netbox.device
except AttributeError:
pass
if isinstance(obj, Interface):
varmap['interface'] = obj.ifname
elif isinstance(obj, Sensor):
varmap['sensor'] = obj.name
def __init__(self, event):
self.event = event
ruleid, self.metric = event.subid.split(':', 1)
klass = models.get_model('models', 'ThresholdRule')
try:
self.rule = klass.objects.get(pk=ruleid)
except klass.DoesNotExist:
self.rule = None
from nav.metrics.lookup import lookup
self.subject = lookup(self.metric)
def get_metric_maximum(metric):
"""
Returns the maximum value of a metric, if one can be determined.
Otherwise returns None.
"""
obj = lookup(metric)
if isinstance(obj, Interface):
counter = metric.split('.')[-1]
if 'octets' in counter.lower():
# Making an unsafe assumption that interface traffic
# numbers are always retrieved in bits/s
maximum = obj.speed * MEGA
if maximum:
return maximum
def __init__(self, event):
self.event = event
try:
ruleid, self.metric = event.subid.split(':', 1)
except ValueError:
ruleid = event.subid
self.metric = None
klass = models.get_model('models', 'ThresholdRule')
try:
self.rule = klass.objects.get(pk=ruleid)
except (klass.DoesNotExist, ValueError):
self.rule = None
if self.metric:
from nav.metrics.lookup import lookup
self.subject = lookup(self.metric)
else:
self.subject = None
def get_sensor_meta(metric_path):
"""
Returns meta information for drawing a Sensor metric graph annotated with
the correct yUnits, among other things.
"""
from nav.models.manage import Sensor
from nav.metrics.lookup import lookup
sensor = lookup(metric_path)
if not sensor:
return dict()
assert isinstance(sensor, Sensor)
meta = dict(alias=sensor.human_readable.replace("\n", " ") or sensor.name)
scale = (sensor.get_data_scale_display()
if sensor.data_scale != sensor.SCALE_UNITS else None) or ''
uom = (sensor.unit_of_measurement
if sensor.unit_of_measurement != sensor.UNIT_OTHER else None) or ''
meta['unit'] = scale + uom
return meta
def get_metric_lookups(self):
"""Return a mapping of metric -> object"""
return {x: lookup(x) for x in self.get_graph_metrics()}
