class engine(Engine):
etype = 'perfdata'
def __init__(self, *args, **kargs):
super(engine, self).__init__(*args, **kargs)
self.perfdata = PerfData()
def work(self, event, *args, **kargs):
# Get perfdata
perf_data = event.get('perf_data')
perf_data_array = event.get('perf_data_array', [])
if perf_data_array is None:
perf_data_array = []
# Parse perfdata
if perf_data:
self.logger.debug(' + perf_data: {0}'.format(perf_data))
try:
perf_data_array += self.perfdata.parse_perfdata(perf_data)
except Exception as err:
self.logger.error(
"Impossible to parse perfdata from: {0} ({1})"
.format(event, err)
)
self.logger.debug(' + perf_data_array: {0}'.format(perf_data_array))
# Add status informations
event_type = event.get('event_type')
handled_event_types = ['check', 'selector', 'sla']
if event_type is not None and event_type in handled_event_types:
self.logger.debug('Add status informations')
state = int(event.get('state', 0))
state_type = int(event.get('state_type', 0))
state_extra = 0
# Multiplex state
cps_state = state * 100 + state_type * 10 + state_extra
perf_data_array.append(
{
"metric": "cps_state",
"value": cps_state
}
)
event['perf_data_array'] = perf_data_array
# remove perf_data_keys where values are None
for index, perf_data in enumerate(event['perf_data_array']):
perf_data_array_with_Nones = event['perf_data_array'][index]
event['perf_data_array'][index] = {
name: perf_data_array_with_Nones[name]
for name in perf_data_array_with_Nones
if perf_data_array_with_Nones[name] is not None
}
self.logger.debug('perf_data_array: {0}'.format(perf_data_array))
event = deepcopy(event)
# Metrology
timestamp = event['timestamp'] if 'timestamp' in event else None
if timestamp is not None:
perf_data_array = event.get('perf_data_array', [])
for perf_data in perf_data_array:
perf_data = perf_data.copy()
event_with_metric = deepcopy(event)
event_with_metric['type'] = 'metric'
event_with_metric[Context.NAME] = perf_data.pop('metric')
metric_id = self.perfdata.context.get_entity_id(
event_with_metric
)
value = perf_data.pop('value', None)
self.perfdata.put(
metric_id=metric_id, points=[(timestamp, value)],
meta=perf_data, cache=True
)
return event
