async def on_activate(self):
self.slot_number, self.total_slots = await self.acquire_slot()
self.is_distributed = self.total_slots > 1
# Prepare scheduler
if self.is_distributed:
self.logger.info("Enabling distributed mode: Slot %d/%d",
self.slot_number, self.total_slots)
ifilter = {"shard": {"$mod": [self.total_slots, self.slot_number]}}
else:
self.logger.info("Enabling standalone mode")
ifilter = None
self.scheduler = Scheduler(
self.name,
pool=config.pool,
reset_running=True,
max_threads=config.correlator.max_threads,
# @fixme have to be configured ?
submit_threshold=100,
max_chunk=100,
filter=ifilter,
)
self.scheduler.correlator = self
self.scheduler.run()
# Subscribe stream, move to separate task to let the on_activate to terminate
self.loop.create_task(
self.subscribe_stream("dispose.%s" % config.pool, self.slot_number,
self.on_dispose_event))
def get_job_avg():
"""
Calculate average time execute discovery job
:return:
"""
job_map = {
"noc.services.discovery.jobs.periodic.job.PeriodicDiscoveryJob":
"periodic",
"noc.services.discovery.jobs.box.job.BoxDiscoveryJob": "box",
}
r = {}
match = {"ldur": {"$gte": 0.05}} # If Ping fail and skipping discovery
for pool in Pool.objects.filter():
coll = Scheduler("discovery", pool=pool.name).get_collection()
r[pool] = {
job_map[c["_id"]]: c["avg_dur"]
for c in coll.aggregate([{
"$match": match
}, {
"$group": {
"_id": "$jcls",
"avg_dur": {
"$avg": "$ldur"
}
}
}]) if c["_id"]
}
return r
def on_activate(self):
self.scheduler = Scheduler(
"scheduler",
reset_running=True,
max_threads=config.scheduler.max_threads,
ioloop=self.ioloop
)
self.scheduler.run()
def scheduler(s):
scheduler, pool = "scheduler", "default"
if "." in s:
scheduler, pool = s.split(".")
if scheduler in SHARDING_SCHEDULER:
# raise argparse.ArgumentTypeError("Scheduler: %s, not supporting sharding")
return Scheduler(scheduler, pool=pool).get_collection()
return Scheduler(scheduler).get_collection()
def get_data(self, **kwargs):
old = datetime.datetime.now() - datetime.timedelta(
minutes=self.STALE_INTERVAL)
data = []
for pool in Pool._get_collection().find({}, {"_id": 0, "name": 1}):
scheduler = Scheduler("discovery", pool=pool["name"])
for r in scheduler.get_collection().find({
"runs": {
"$gt": 1
},
"jcls": {
"$regex": "_discovery$"
},
"st": {
"$lte": old
}
}):
mo = ManagedObject.get_by_id(r["key"])
if not mo or not mo.is_managed:
continue
msg = ""
if r["tb"]:
tb = r["tb"]
if "text" in tb and "code" in tb:
if tb["text"].endswith("END OF TRACEBACK"):
tb["text"] = "Job crashed"
msg = "(%s) %s" % (tb["text"], tb["code"])
data += [[
mo.administrative_domain.name,
mo.name,
mo.profile.name,
mo.platform.name,
mo.version.name,
mo.address,
mo.segment.name,
r["jcls"],
humanize_distance(r["st"]),
msg,
]]
return self.from_dataset(
title=self.title,
columns=[
_("Admin. Domain"),
_("Object"),
_("Profile"),
_("Platform"),
_("Version"),
_("Address"),
_("Segment"),
_("Job"),
_("Last Success"),
_("Reason"),
],
data=sorted(data),
enumerate=True,
)
def count(self):
scheduler = Scheduler(self.scheduler, pool=self.pool).get_collection()
find = {
Job.ATTR_KEY: {
"$in": list(self.mos_filter.values_list("id", flat=True))
}
}
if self.pipeline and "$match" in self.pipeline[0]:
find.update(self.pipeline[0]["$match"])
return scheduler.count(find)
class SchedulerService(TornadoService):
name = "scheduler"
leader_lock_name = "scheduler"
use_mongo = True
async def on_activate(self):
self.scheduler = Scheduler("scheduler",
reset_running=True,
max_threads=config.scheduler.max_threads)
self.scheduler.run()
def __iter__(self):
mos_ids = list(self.mos_filter.values_list("id", flat=True))
self.pipeline = [{
"$match": {
Job.ATTR_KEY: {
"$in": mos_ids
}
}
}] + self.pipeline
scheduler = Scheduler(self.scheduler, pool=self.pool).get_collection()
yield from scheduler.aggregate(self.pipeline)
class SchedulerService(Service):
name = "scheduler"
leader_group_name = "scheduler"
leader_lock_name = "scheduler"
@tornado.gen.coroutine
def on_activate(self):
self.scheduler = Scheduler(
"scheduler",
reset_running=True,
max_threads=config.scheduler.max_threads,
ioloop=self.ioloop
)
self.scheduler.run()
def fix():
for p in Pool.objects.all():
s = Scheduler("discovery", pool=p.name)
c = s.get_collection()
if not c.count_documents({}):
continue
# Remove unused schedules fields
c.update_many({
"jcls": "noc.services.discovery.jobs.periodic.job.PeriodicDiscoveryJob"
}, {
"$unset": {
"ctx": "",
"ctv": ""
}
})
c.database.command({"compact": c.name, "force": True})
def on_activate(self):
self.scheduler = Scheduler(
self.name,
pool=config.pool,
reset_running=True,
max_threads=config.correlator.max_threads,
ioloop=self.ioloop,
# @fixme have to be configured ?
submit_threshold=100,
max_chunk=100)
self.scheduler.correlator = self
self.subscribe("correlator.dispose.%s" % config.pool,
"dispose",
self.on_dispose_event,
max_in_flight=config.correlator.max_threads)
self.scheduler.run()
def call_later(
name: str,
delay: Optional[float] = None,
scheduler: str = "scheduler",
pool: Optional[str] = None,
job_class: str = DEFAULT_JOB_CLASS,
shard: Optional[int] = None,
max_runs: Optional[int] = None,
**kwargs,
):
"""
Schedule to run callable *name* in scheduler process
:param name: Full callable name
:param delay: delay in seconds
:param scheduler: Name of scheduler
:param pool: Pool name
:param job_class: Job class
:param shard: Sharding key
:param max_runs: Maximum amount of retries
"""
scheduler = Scheduler(scheduler, pool=pool)
data = kwargs or {}
ts = datetime.datetime.now()
if delay:
ts += datetime.timedelta(seconds=delay)
# Process sharding
if shard is None:
shard = dict_hash_int_args(job_class=job_class,
name=name,
pool=pool,
**kwargs)
shard = (shard if shard >= 0 else -shard) % 0x7FFFFFFF
#
set_op = {Job.ATTR_TS: ts}
iset_op = {
Job.ATTR_STATUS: Job.S_WAIT,
Job.ATTR_RUNS: 0,
Job.ATTR_FAULTS: 0,
Job.ATTR_OFFSET: 0,
Job.ATTR_SHARD: shard,
}
if max_runs:
iset_op[Job.ATTR_MAX_RUNS] = max_runs
if data:
set_op[Job.ATTR_DATA] = {
k: v
for k, v in data.items() if not k.startswith("_")
}
q = {Job.ATTR_CLASS: job_class, Job.ATTR_KEY: name}
for k in list(data):
if k.startswith("_"):
# Hidden attribute JobClass, remove it from data
q[k] = data[k]
continue
q["%s.%s" % (Job.ATTR_DATA, k)] = data[k]
op = {"$set": set_op, "$setOnInsert": iset_op}
logger.info("Delayed call to %s(%s) in %ss", name, data, delay or "0")
logger.debug("update(%s, %s, upsert=True)", q, op)
scheduler.get_collection().update_one(q, op, upsert=True)
def on_activate(self):
self.slot_number, self.total_slots = yield self.acquire_slot()
if self.total_slots > 1:
self.logger.info("Enabling distributed mode: Slot %d/%d",
self.slot_number, self.total_slots)
ifilter = {"key": {"$mod": [self.total_slots, self.slot_number]}}
else:
self.logger.info("Enabling standalone mode")
ifilter = None
self.scheduler = Scheduler("discovery",
pool=config.pool,
reset_running=True,
max_threads=config.discovery.max_threads,
ioloop=self.ioloop,
filter=ifilter,
service=self,
sample=config.discovery.sample)
self.scheduler.run()
def run_job(self, job, mo, checks):
if job == "segment":
scheduler = Scheduler("scheduler",
pool=None,
service=ServiceStub())
else:
scheduler = Scheduler("discovery",
pool=mo.pool.name,
service=ServiceStub())
jcls = self.jcls[job]
# Try to dereference job
job_args = scheduler.get_collection().find_one({
Job.ATTR_CLASS: jcls,
Job.ATTR_KEY: mo.id
})
if job_args:
self.print("Job ID: %s" % job_args["_id"])
else:
job_args = {Job.ATTR_ID: "fakeid", Job.ATTR_KEY: mo.id}
job_args["_checks"] = checks
job = get_handler(jcls)(scheduler, job_args)
if job.context_version:
ctx_key = job.get_context_cache_key()
self.print("Loading job context from %s" % ctx_key)
ctx = cache.get(ctx_key, version=job.context_version)
if not ctx:
self.print("Job context is empty")
job.load_context(ctx)
sample = 1 if self.trace else 0
with Span(sample=sample):
job.dereference()
job.handler()
if sample:
spans = get_spans()
self.print("Spans:")
self.print("\n".join(str(s) for s in spans))
if scheduler.service.metrics:
self.print("Collected CH data:")
for t in scheduler.service.metrics:
self.print("Table: %s" % t)
self.print("\n".join(
str(x) for x in scheduler.service.metrics[t]))
if job.context_version and job.context:
self.print("Saving job context to %s" % ctx_key)
scheduler.cache_set(key=ctx_key,
value=job.context,
version=job.context_version)
scheduler.apply_cache_ops()
time.sleep(3)
def run_job(jcls, mo, checks):
scheduler = Scheduler("discovery", pool=mo.pool.name, service=get_service(mo.pool))
job_args = {Job.ATTR_ID: "fakeid", Job.ATTR_KEY: mo.id, "_checks": checks}
job = jcls(scheduler, job_args)
# Inject beef managed object
job.dereference()
job.object = mo
# Run job
job.handler()
assert not job.problems
def call_later(name, delay=None, scheduler="scheduler", pool=None,
max_runs=None, **kwargs):
"""
Run callable *name* in scheduler process
:param name: Full callable name
:param delay: delay in seconds
:param scheduler: Name of scheduler
:param pool: Pool name
:param max_runs: Maximum amount of retries
"""
scheduler = Scheduler(scheduler, pool=pool)
data = kwargs or {}
ts = datetime.datetime.now()
if delay:
ts += datetime.timedelta(seconds=delay)
set_op = {
Job.ATTR_TS: ts
}
iset_op = {
Job.ATTR_STATUS: Job.S_WAIT,
Job.ATTR_RUNS: 0,
Job.ATTR_FAULTS: 0,
Job.ATTR_OFFSET: 0
}
if max_runs:
iset_op[Job.ATTR_MAX_RUNS] = max_runs
if data:
set_op[Job.ATTR_DATA] = data
q = {
Job.ATTR_CLASS: "noc.core.scheduler.calljob.CallJob",
Job.ATTR_KEY: name
}
for k in data:
q["%s.%s" % (Job.ATTR_DATA, k)] = data[k]
op = {
"$set": set_op,
"$setOnInsert": iset_op
}
logger.info("Delayed call to %s(%s) in %ss", name, data, delay or "0")
logger.debug("update(%s, %s, upsert=True)", q, op)
scheduler.get_collection().update(q, op, upsert=True)
class DiscoveryService(Service):
name = "discovery"
leader_group_name = "discovery-%(pool)s"
pooled = True
require_nsq_writer = True
use_mongo = True
process_name = "noc-%(name).10s-%(pool).5s"
def __init__(self):
super(DiscoveryService, self).__init__()
self.send_callback = None
self.slot_number = 0
self.total_slots = 0
@tornado.gen.coroutine
def on_activate(self):
self.slot_number, self.total_slots = yield self.acquire_slot()
if self.total_slots > 1:
self.logger.info("Enabling distributed mode: Slot %d/%d",
self.slot_number, self.total_slots)
ifilter = {"key": {"$mod": [self.total_slots, self.slot_number]}}
else:
self.logger.info("Enabling standalone mode")
ifilter = None
self.scheduler = Scheduler(
"discovery",
pool=config.pool,
reset_running=True,
max_threads=config.discovery.max_threads,
ioloop=self.ioloop,
filter=ifilter,
service=self,
sample=config.discovery.sample,
)
self.scheduler.run()
def get_mon_data(self):
r = super(DiscoveryService, self).get_mon_data()
if self.scheduler:
self.scheduler.apply_metrics(r)
return r
def add_arguments(self, parser):
parser.add_argument(
"--scheduler",
"-s",
dest="scheduler",
default=Scheduler("scheduler").get_collection(),
type=self.scheduler,
help="Select scheduler. For sharded use SCHEDULER_NAME.SHARD_NAME"
),
parser.add_argument(
"--format",
"-f",
dest="store",
# action="format",
choices=["json", "csv"],
help="Set output format"),
subparsers = parser.add_subparsers(dest="cmd")
# load command
list_parser = subparsers.add_parser("list")
list_parser.add_argument("--name", help="Job name in scheduler")
list_parser.add_argument("key",
nargs=argparse.REMAINDER,
help="List of job key")
get_parser = subparsers.add_parser("get")
get_parser.add_argument("--id", help="Job name in scheduler")
subparsers.add_parser("set")
# Parse Job Field
reschedule = subparsers.add_parser("reschedule",
help="Shift Jobs to interval")
reschedule.add_argument("--name", help="Job name in scheduler")
reschedule.add_argument("--start",
type=self.valid_date,
help="Start interval for place")
reschedule.add_argument("--end",
type=self.valid_date,
help="End interval for place")
reschedule.add_argument("--force",
default=False,
action="store_true",
help="Really do reschedule")
reschedule.add_argument("key",
nargs=argparse.REMAINDER,
help="List of job key")
parser.add_argument('infile',
nargs='?',
type=argparse.FileType('r'),
default=sys.stdin)
def apply_shards(self):
# Get shards settings
shard_threads = defaultdict(int)
shard_threads[DEFAULT_TTSYSTEM_SHARD] = config.escalator.max_threads
for s in TTSystem.objects.all():
if not s.is_active:
continue
shard_threads[s.shard_name] += s.max_threads
# Run shard schedulers
for sn in shard_threads:
self.logger.info("Running shard %s (%d threads)", sn,
shard_threads[sn])
self.shards[sn] = Scheduler("escalator",
pool=sn,
reset_running=True,
max_threads=shard_threads[sn],
ioloop=self.ioloop,
service=self,
sample=config.escalator.sample)
self.shards[sn].run()
def add_arguments(self, parser):
parser.add_argument(
"--scheduler",
"-s",
dest="scheduler",
default=Scheduler("scheduler").get_collection(),
type=self.scheduler,
help="Select scheduler. For sharded use SCHEDULER_NAME.SHARD_NAME",
),
parser.add_argument(
"--format",
"-f",
dest="store",
# action="format",
choices=["json", "csv"],
help="Set output format",
),
subparsers = parser.add_subparsers(dest="cmd")
# load command
list_parser = subparsers.add_parser("list")
list_parser.add_argument("--name", help="Job name in scheduler")
list_parser.add_argument("key",
nargs=argparse.REMAINDER,
help="List of job key")
get_parser = subparsers.add_parser("get")
get_parser.add_argument("--id", help="Job name in scheduler")
subparsers.add_parser("set")
estimate = subparsers.add_parser("estimate")
estimate.add_argument("--device-count",
type=int,
default=0,
help="Device count")
estimate.add_argument("--box-interval",
type=int,
default=65400,
help="Box discovery interval (in seconds)")
estimate.add_argument(
"--periodic-interval",
type=int,
default=300,
help="Periodic discovery interval (in seconds)",
)
# Parse Job Field
reschedule = subparsers.add_parser("reschedule",
help="Shift Jobs to interval")
reschedule.add_argument("--name", help="Job name in scheduler")
reschedule.add_argument("--start",
type=self.valid_date,
help="Start interval for place")
reschedule.add_argument("--end",
type=self.valid_date,
help="End interval for place")
reschedule.add_argument("--force",
default=False,
action="store_true",
help="Really do reschedule")
reschedule.add_argument("key",
nargs=argparse.REMAINDER,
help="List of job key")
parser.add_argument("infile",
nargs="?",
type=argparse.FileType("r"),
default=sys.stdin)
class CorrelatorService(TornadoService):
name = "correlator"
pooled = True
use_mongo = True
process_name = "noc-%(name).10s-%(pool).5s"
def __init__(self):
super().__init__()
self.version = version.version
self.rules = {} # event_class -> [Rule]
self.back_rules = {} # event_class -> [Rule]
self.triggers = {} # alarm_class -> [Trigger1, .. , TriggerN]
self.rca_forward = {
} # alarm_class -> [RCA condition, ..., RCA condititon]
self.rca_reverse = defaultdict(
set) # alarm_class -> set([alarm_class])
#
self.slot_number = 0
self.total_slots = 0
self.is_distributed = False
# Scheduler
self.scheduler: Optional[Scheduler] = None
# Locks
self.topo_rca_lock: Optional[RCALock] = None
async def on_activate(self):
self.slot_number, self.total_slots = await self.acquire_slot()
self.is_distributed = self.total_slots > 1
# Prepare scheduler
if self.is_distributed:
self.logger.info("Enabling distributed mode: Slot %d/%d",
self.slot_number, self.total_slots)
ifilter = {"shard": {"$mod": [self.total_slots, self.slot_number]}}
else:
self.logger.info("Enabling standalone mode")
ifilter = None
self.scheduler = Scheduler(
self.name,
pool=config.pool,
reset_running=True,
max_threads=config.correlator.max_threads,
# @fixme have to be configured ?
submit_threshold=100,
max_chunk=100,
filter=ifilter,
)
self.scheduler.correlator = self
self.scheduler.run()
# Subscribe stream, move to separate task to let the on_activate to terminate
self.loop.create_task(
self.subscribe_stream("dispose.%s" % config.pool, self.slot_number,
self.on_dispose_event))
def on_start(self):
"""
Load rules from database just after loading config
"""
super().on_start()
connect() # use_mongo connect do after on_start.
self.load_rules()
self.load_triggers()
self.load_rca_rules()
def load_rules(self):
"""
Load rules from database
"""
self.logger.debug("Loading rules")
self.rules = {}
self.back_rules = {}
nr = 0
nbr = 0
for c in EventClass.objects.all():
if c.disposition:
r = []
for dr in c.disposition:
rule = Rule(c, dr)
r += [rule]
nr += 1
if dr.combo_condition != "none" and dr.combo_window:
for cc in dr.combo_event_classes:
try:
self.back_rules[cc.id] += [dr]
except KeyError:
self.back_rules[cc.id] = [dr]
nbr += 1
self.rules[c.id] = r
self.logger.debug("%d rules are loaded. %d combos" % (nr, nbr))
def load_triggers(self):
self.logger.info("Loading triggers")
self.triggers = {}
n = 0
cn = 0
ec = [(c.name, c.id) for c in AlarmClass.objects.all()]
for t in AlarmTrigger.objects.filter(is_enabled=True):
self.logger.debug("Trigger '%s' for classes:" % t.name)
for c_name, c_id in ec:
if re.search(t.alarm_class_re, c_name, re.IGNORECASE):
try:
self.triggers[c_id] += [Trigger(t)]
except KeyError:
self.triggers[c_id] = [Trigger(t)]
cn += 1
self.logger.debug(" %s" % c_name)
n += 1
self.logger.info("%d triggers has been loaded to %d classes" % (n, cn))
def load_rca_rules(self):
"""
Load root cause analisys rules
"""
self.logger.info("Loading RCA Rules")
n = 0
self.rca_forward = {}
self.rca_reverse = {}
for a in AlarmClass.objects.filter(root_cause__0__exists=True):
if not a.root_cause:
continue
self.rca_forward[a.id] = []
for c in a.root_cause:
rc = RCACondition(a, c)
self.rca_forward[a.id] += [rc]
if rc.root.id not in self.rca_reverse:
self.rca_reverse[rc.root.id] = []
self.rca_reverse[rc.root.id] += [rc]
n += 1
self.logger.info("%d RCA Rules have been loaded" % n)
def mark_as_failed(self, event):
"""
Write error log and mark event as failed
"""
self.logger.error("Failed to process event %s" % str(event.id))
# Prepare traceback
t, v, tb = sys.exc_info()
now = datetime.datetime.now()
r = ["UNHANDLED EXCEPTION (%s)" % str(now)]
r += [str(t), str(v)]
r += [format_frames(get_traceback_frames(tb))]
r = "\n".join(r)
event.mark_as_failed(version=self.version, traceback=r)
def set_root_cause(self, a):
"""
Search for root cause and set, if found
:returns: Boolean. True, if root cause set
"""
for rc in self.rca_forward[a.alarm_class.id]:
# Check condition
if not rc.check_condition(a):
continue
# Check match condition
q = rc.get_match_condition(a)
root = ActiveAlarm.objects.filter(**q).first()
if root:
# Root cause found
self.logger.info("%s is root cause for %s (Rule: %s)", root.id,
a.id, rc.name)
metrics["alarm_correlated_rule"] += 1
a.set_root(root, rca_type=RCA_RULE)
return True
return False
def set_reverse_root_cause(self, a):
"""
Set *a* as root cause for existing events
:param a:
:return:
"""
found = False
for rc in self.rca_reverse[a.alarm_class.id]:
# Check reverse match condition
q = rc.get_reverse_match_condition(a)
for ca in ActiveAlarm.objects.filter(**q):
# Check condition
if not rc.check_condition(ca):
continue
# Try to set root cause
qq = rc.get_match_condition(ca, id=a.id)
rr = ActiveAlarm.objects.filter(**qq).first()
if rr:
# Reverse root cause found
self.logger.info(
"%s is root cause for %s (Reverse rule: %s)", a.id,
ca.id, rc.name)
metrics["alarm_correlated_rule"] += 1
ca.set_root(a, rca_type=RCA_RULE)
found = True
return found
async def raise_alarm(self, r, e):
managed_object = self.eval_expression(r.managed_object, event=e)
if not managed_object:
self.logger.info("Empty managed object, ignoring")
return
# @todo: Make configurable
if not managed_object.is_managed:
self.logger.info(
"Managed object is not managed. Do not raise alarm")
return
if e.managed_object.id != managed_object.id:
metrics["alarm_change_mo"] += 1
self.logger.info("Changing managed object to %s",
managed_object.name)
discriminator, vars = r.get_vars(e)
if r.unique:
assert discriminator is not None
a = ActiveAlarm.objects.filter(
managed_object=managed_object.id,
discriminator=discriminator).first()
if not a:
# Try to reopen alarm
a = ArchivedAlarm.objects.filter(
managed_object=managed_object.id,
discriminator=discriminator,
control_time__gte=e.timestamp,
).first()
if a:
# Reopen alarm
self.logger.info(
"[%s|%s|%s] %s reopens alarm %s(%s)",
e.id,
managed_object.name,
managed_object.address,
e.event_class.name,
a.alarm_class.name,
a.id,
)
a = a.reopen("Reopened by disposition rule '%s'" %
r.u_name)
metrics["alarm_reopen"] += 1
if a:
# Active alarm found, refresh
self.logger.info(
"[%s|%s|%s] Contributing event %s to active alarm %s(%s)",
e.id,
managed_object.name,
managed_object.address,
e.event_class.name,
a.alarm_class.name,
a.id,
)
# Contribute event to alarm
e.contribute_to_alarm(a)
if e.timestamp < a.timestamp:
# Set to earlier date
a.timestamp = e.timestamp
a.save()
elif e.timestamp > a.last_update:
# Refresh last update
a.last_update = e.timestamp
a.save()
metrics["alarm_contribute"] += 1
return
# Calculate alarm coverage
summary = ServiceSummary.get_object_summary(managed_object)
summary["object"] = {managed_object.object_profile.id: 1}
#
severity = max(ServiceSummary.get_severity(summary), 1)
self.logger.info(
"[%s|%s|%s] %s: Calculated alarm severity is: %s",
e.id,
managed_object.name,
managed_object.address,
r.u_name,
severity,
)
# Create new alarm
direct_services = SummaryItem.dict_to_items(summary["service"])
direct_subscribers = SummaryItem.dict_to_items(summary["subscriber"])
a = ActiveAlarm(
timestamp=e.timestamp,
last_update=e.timestamp,
managed_object=managed_object.id,
alarm_class=r.alarm_class,
severity=severity,
vars=vars,
discriminator=discriminator,
direct_services=direct_services,
direct_subscribers=direct_subscribers,
total_objects=ObjectSummaryItem.dict_to_items(summary["object"]),
total_services=direct_services,
total_subscribers=direct_subscribers,
log=[
AlarmLog(
timestamp=datetime.datetime.now(),
from_status="A",
to_status="A",
message="Alarm risen from event %s(%s) by rule '%s'" %
(str(e.id), str(e.event_class.name), r.u_name),
)
],
opening_event=e.id,
)
a.save()
e.contribute_to_alarm(a)
self.logger.info(
"[%s|%s|%s] %s raises alarm %s(%s): %r",
e.id,
managed_object.name,
managed_object.address,
e.event_class.name,
a.alarm_class.name,
a.id,
a.vars,
)
metrics["alarm_raise"] += 1
await self.correlate(r, a)
# Notify about new alarm
if not a.root:
a.managed_object.event(
a.managed_object.EV_ALARM_RISEN,
{
"alarm": a,
"subject": a.subject,
"body": a.body,
"symptoms": a.alarm_class.symptoms,
"recommended_actions": a.alarm_class.recommended_actions,
"probable_causes": a.alarm_class.probable_causes,
},
delay=a.alarm_class.get_notification_delay(),
)
# Gather diagnostics when necessary
AlarmDiagnosticConfig.on_raise(a)
# Watch for escalations, when necessary
if config.correlator.auto_escalation and not a.root:
AlarmEscalation.watch_escalations(a)
async def correlate(self, r, a):
# Topology RCA
if a.alarm_class.topology_rca:
await self.topology_rca(a)
# Rule-based RCA
if a.alarm_class.id in self.rca_forward:
# Check alarm is a consequence of existing one
self.set_root_cause(a)
if a.alarm_class.id in self.rca_reverse:
# Check alarm is the root cause for existing ones
self.set_reverse_root_cause(a)
# Call handlers
for h in a.alarm_class.get_handlers():
try:
has_root = bool(a.root)
h(a)
if not has_root and a.root:
self.logger.info(
"[%s|%s|%s] Set root to %s (handler %s)",
a.id,
a.managed_object.name,
a.managed_object.address,
a.root,
h,
)
except Exception: # noqa. Can probable happens anything from handler
error_report()
metrics["error", ("type", "alarm_handler")] += 1
# Call triggers if necessary
if r.alarm_class.id in self.triggers:
for t in self.triggers[r.alarm_class.id]:
try:
t.call(a)
except: # noqa. Can probable happens anything from trigger
error_report()
#
if not a.severity:
# Alarm severity has been reset to 0 by handlers
# Silently drop alarm
self.logger.debug("Alarm severity is 0, dropping")
a.delete()
metrics["alarm_drop"] += 1
return
def clear_alarm(self, r, e):
managed_object = self.eval_expression(r.managed_object, event=e)
if not managed_object:
self.logger.info(
"[%s|Unknown|Unknown] Referred to unknown managed object, ignoring",
e.id)
metrics["unknown_object"] += 1
return
if r.unique:
discriminator, vars = r.get_vars(e)
assert discriminator is not None
a = ActiveAlarm.objects.filter(
managed_object=managed_object.id,
discriminator=discriminator).first()
if a:
self.logger.info(
"[%s|%s|%s] %s clears alarm %s(%s)",
e.id,
managed_object.name,
managed_object.address,
e.event_class.name,
a.alarm_class.name,
a.id,
)
e.contribute_to_alarm(a)
a.closing_event = e.id
a.last_update = max(a.last_update, e.timestamp)
a.clear_alarm("Cleared by disposition rule '%s'" % r.u_name,
ts=e.timestamp)
metrics["alarm_clear"] += 1
def get_delayed_event(self, r, e):
"""
Check wrether all delayed conditions are met
:param r: Delayed rule
:param e: Event which can trigger delayed rule
"""
# @todo: Rewrite to scheduler
discriminator, vars = r.get_vars(e)
ws = e.timestamp - datetime.timedelta(seconds=r.combo_window)
de = ActiveEvent.objects.filter(
managed_object=e.managed_object_id,
event_class=r.event_class,
discriminator=discriminator,
timestamp__gte=ws,
).first()
if not de:
# No starting event
return None
# Probable starting event found, get all interesting following event
# classes
fe = [
ee.event_class.id for ee in ActiveEvent.objects.filter(
managed_object=e.managed_object_id,
event_class__in=r.combo_event_classes,
discriminator=discriminator,
timestamp__gte=ws,
).order_by("timestamp")
]
if r.combo_condition == "sequence":
# Exact match
if fe == self.combo_event_classes:
return de
elif r.combo_condition == "all":
# All present
if not any([c for c in r.combo_event_classes if c not in fe]):
return de
elif r.combo_condition == "any":
# Any found
if fe:
return de
return None
def eval_expression(self, expression, **kwargs):
"""
Evaluate expression in given context
"""
env = {"re": re, "utils": utils}
env.update(kwargs)
return eval(expression, {}, env)
async def on_dispose_event(self, msg: Message) -> None:
"""
Called on new dispose message
"""
data = orjson.loads(msg.value)
event_id = data["event_id"]
hint = data["event"]
self.logger.info("[%s] Receiving message", event_id)
metrics["alarm_dispose"] += 1
try:
event = ActiveEvent.from_json(hint)
event.timestamp = event.timestamp.replace(tzinfo=None)
await self.dispose_event(event)
except Exception:
metrics["alarm_dispose_error"] += 1
error_report()
finally:
if self.topo_rca_lock:
# Release pending RCA Lock
await self.topo_rca_lock.release()
self.topo_rca_lock = None
async def dispose_event(self, e):
"""
Dispose event according to disposition rule
"""
event_id = str(e.id)
self.logger.info("[%s] Disposing", event_id)
drc = self.rules.get(e.event_class.id)
if not drc:
self.logger.info(
"[%s] No disposition rules for class %s, skipping", event_id,
e.event_class.name)
return
# Apply disposition rules
for r in drc:
if self.eval_expression(r.condition, event=e):
# Process action
if r.action == "drop":
self.logger.info("[%s] Dropped by action", event_id)
e.delete()
return
elif r.action == "ignore":
self.logger.info("[%s] Ignored by action", event_id)
return
elif r.action == "raise" and r.combo_condition == "none":
await self.raise_alarm(r, e)
elif r.action == "clear" and r.combo_condition == "none":
self.clear_alarm(r, e)
if r.action in ("raise", "clear"):
# Write discriminator if can trigger delayed event
if r.unique and r.event_class.id in self.back_rules:
discriminator, vars = r.get_vars(e)
e.discriminator = discriminator
e.save()
# Process delayed combo conditions
if e.event_class.id in self.back_rules:
for br in self.back_rules[e.event_class.id]:
de = self.get_delayed_event(br, e)
if de:
if br.action == "raise":
await self.raise_alarm(br, de)
elif br.action == "clear":
self.clear_alarm(br, de)
if r.stop_disposition:
break
self.logger.info("[%s] Disposition complete", event_id)
async def topology_rca(self, alarm):
"""
Topology-based RCA
:param alarm:
:return:
"""
def can_correlate(a1, a2):
"""
Check if alarms can be correlated together (within corellation window)
:param a1:
:param a2:
:return:
"""
return (not config.correlator.topology_rca_window
or (a1.timestamp - a2.timestamp).total_seconds() <=
config.correlator.topology_rca_window)
def all_uplinks_failed(a1):
"""
Check if all uplinks for alarm is failed
:param a1:
:return:
"""
if not a1.uplinks:
return False
return sum(1 for mo in a1.uplinks
if mo in neighbor_alarms) == len(a1.uplinks)
def get_root(a1) -> Optional[ActiveAlarm]:
"""
Get root cause for failed uplinks.
Considering all uplinks are failed.
Uplinks are ordered according to path length.
Return first applicable
:param a1:
:return:
"""
for u in a1.uplinks:
na = neighbor_alarms[u]
if can_correlate(a1, na):
return na
return None
def get_neighboring_alarms(ca: ActiveAlarm) -> Dict[int, ActiveAlarm]:
r = {
na.managed_object.id: na
for na in ActiveAlarm.objects.filter(
alarm_class=ca.alarm_class.id,
rca_neighbors__in=[ca.managed_object.id])
}
# Add current alarm to correlate downlink alarms properly
r[alarm.managed_object.id] = ca
return r
def iter_downlink_alarms(a1):
"""
Yield all downlink alarms
:param a1:
:return:
"""
mo = a1.managed_object.id
for na in neighbor_alarms.values():
if na.uplinks and mo in na.uplinks:
yield na
def correlate_uplinks(ca: ActiveAlarm) -> bool:
"""
Correlate with uplink alarms if all uplinks are faulty.
:param a1:
:return:
"""
if not all_uplinks_failed(ca):
return False
self.logger.info("[%s] All uplinks are faulty. Correlating", ca.id)
ra = get_root(ca)
if not ra:
return False
self.logger.info("[%s] Set root to %s", ca.id, ra.id)
ca.set_root(ra, rca_type=RCA_TOPOLOGY)
metrics["alarm_correlated_topology"] += 1
return True
def correlate_merge_downlinks(ca: ActiveAlarm) -> bool:
"""
Donwlink merge correlation
:param ca:
:return:
"""
if not ca.uplinks or not ca.rca_neighbors:
return False
dlm_neighbors = {
mo: w
for mo, w in zip(ca.rca_neighbors, ca.dlm_windows) if w > 0
}
dlm_candidates = set(neighbor_alarms) & set(dlm_neighbors)
if not dlm_candidates:
return False
# Get possible candidates
t0 = ca.timestamp
candidates = list(
sorted(
(neighbor_alarms[mo] for mo in dlm_candidates
if (t0 - neighbor_alarms[mo].timestamp
).total_seconds() <= dlm_neighbors[mo]),
key=operator.attrgetter("timestamp"),
))
if not candidates:
return False
ra = candidates[0]
self.logger.info("[%s] Set root to %s (downlink merge)", ca.id,
ra.id)
ca.set_root(ra, rca_type=RCA_DOWNLINK_MERGE)
metrics["alarm_correlated_topology"] += 1
return True
self.logger.debug("[%s] Topology RCA", alarm.id)
# Acquire lock
if self.is_distributed:
# Set lock until the end of dispose
mo = alarm.managed_object
self.topo_rca_lock = RCALock(mo.data.rca_neighbors + [mo.id])
await self.topo_rca_lock.acquire()
# Get neighboring alarms
neighbor_alarms = get_neighboring_alarms(alarm)
# Correlate current alarm
correlate_uplinks(alarm) or correlate_merge_downlinks(alarm)
# Correlate all downlink alarms
for a in iter_downlink_alarms(alarm):
correlate_uplinks(a)
self.logger.debug("[%s] Correlation completed", alarm.id)
def get_scheduler(cls):
return Scheduler(cls.SCHEDULER)
class CorrelatorService(Service):
name = "correlator"
pooled = True
leader_lock_name = "correlator-%(pool)s"
process_name = "noc-%(name).10s-%(pool).5s"
def __init__(self):
super(CorrelatorService, self).__init__()
self.version = version.version
self.rules = {} # event_class -> [Rule]
self.back_rules = {} # event_class -> [Rule]
self.triggers = {} # alarm_class -> [Trigger1, .. , TriggerN]
self.rca_forward = {
} # alarm_class -> [RCA condition, ..., RCA condititon]
self.rca_reverse = defaultdict(
set) # alarm_class -> set([alarm_class])
self.scheduler = None
self.rca_lock = Lock()
self.topology_rca_lock = Lock()
def on_activate(self):
self.scheduler = Scheduler(
self.name,
pool=config.pool,
reset_running=True,
max_threads=config.correlator.max_threads,
ioloop=self.ioloop,
# @fixme have to be configured ?
submit_threshold=100,
max_chunk=100)
self.scheduler.correlator = self
self.subscribe("correlator.dispose.%s" % config.pool,
"dispose",
self.on_dispose_event,
max_in_flight=config.correlator.max_threads)
self.scheduler.run()
def on_start(self):
"""
Load rules from database just after loading config
"""
super(CorrelatorService, self).on_start()
self.load_rules()
self.load_triggers()
self.load_rca_rules()
def load_rules(self):
"""
Load rules from database
"""
self.logger.debug("Loading rules")
self.rules = {}
self.back_rules = {}
nr = 0
nbr = 0
for c in EventClass.objects.all():
if c.disposition:
r = []
for dr in c.disposition:
rule = Rule(c, dr)
r += [rule]
nr += 1
if dr.combo_condition != "none" and dr.combo_window:
for cc in dr.combo_event_classes:
try:
self.back_rules[cc.id] += [dr]
except KeyError:
self.back_rules[cc.id] = [dr]
nbr += 1
self.rules[c.id] = r
self.logger.debug("%d rules are loaded. %d combos" % (nr, nbr))
def load_triggers(self):
self.logger.info("Loading triggers")
self.triggers = {}
n = 0
cn = 0
ec = [(c.name, c.id) for c in AlarmClass.objects.all()]
for t in AlarmTrigger.objects.filter(is_enabled=True):
self.logger.debug("Trigger '%s' for classes:" % t.name)
for c_name, c_id in ec:
if re.search(t.alarm_class_re, c_name, re.IGNORECASE):
try:
self.triggers[c_id] += [Trigger(t)]
except KeyError:
self.triggers[c_id] = [Trigger(t)]
cn += 1
self.logger.debug(" %s" % c_name)
n += 1
self.logger.info("%d triggers has been loaded to %d classes" % (n, cn))
def load_rca_rules(self):
"""
Load root cause analisys rules
"""
self.logger.info("Loading RCA Rules")
n = 0
self.rca_forward = {}
self.rca_reverse = {}
for a in AlarmClass.objects.filter(root_cause__0__exists=True):
if not a.root_cause:
continue
self.rca_forward[a.id] = []
for c in a.root_cause:
rc = RCACondition(a, c)
self.rca_forward[a.id] += [rc]
if rc.root.id not in self.rca_reverse:
self.rca_reverse[rc.root.id] = []
self.rca_reverse[rc.root.id] += [rc]
n += 1
self.logger.info("%d RCA Rules have been loaded" % n)
def mark_as_failed(self, event):
"""
Write error log and mark event as failed
"""
self.logger.error("Failed to process event %s" % str(event.id))
# Prepare traceback
t, v, tb = sys.exc_info()
now = datetime.datetime.now()
r = ["UNHANDLED EXCEPTION (%s)" % str(now)]
r += [str(t), str(v)]
r += [format_frames(get_traceback_frames(tb))]
r = "\n".join(r)
event.mark_as_failed(version=self.version, traceback=r)
def set_root_cause(self, a):
"""
Search for root cause and set, if found
:returns: Boolean. True, if root cause set
"""
for rc in self.rca_forward[a.alarm_class.id]:
# Check condition
if not rc.check_condition(a):
continue
# Check match condition
q = rc.get_match_condition(a)
root = ActiveAlarm.objects.filter(**q).first()
if root:
# Root cause found
self.logger.info("%s is root cause for %s (Rule: %s)", root.id,
a.id, rc.name)
metrics["alarm_correlated_rule"] += 1
a.set_root(root)
return True
return False
def set_reverse_root_cause(self, a):
"""
Set *a* as root cause for existing events
:param a:
:return:
"""
found = False
for rc in self.rca_reverse[a.alarm_class.id]:
# Check reverse match condition
q = rc.get_reverse_match_condition(a)
for ca in ActiveAlarm.objects.filter(**q):
# Check condition
if not rc.check_condition(ca):
continue
# Try to set root cause
qq = rc.get_match_condition(ca, id=a.id)
rr = ActiveAlarm.objects.filter(**qq).first()
if rr:
# Reverse root cause found
self.logger.info(
"%s is root cause for %s (Reverse rule: %s)", a.id,
ca.id, rc.name)
metrics["alarm_correlated_rule"] += 1
ca.set_root(a)
found = True
return found
def raise_alarm(self, r, e):
managed_object = self.eval_expression(r.managed_object, event=e)
if not managed_object:
self.logger.info("Empty managed object, ignoring")
return
# @todo: Make configurable
if not managed_object.is_managed:
self.logger.info(
"Managed object is not managed. Do not raise alarm")
return
if e.managed_object.id != managed_object.id:
metrics["alarm_change_mo"] += 1
self.logger.info("Changing managed object to %s",
managed_object.name)
discriminator, vars = r.get_vars(e)
if r.unique:
assert discriminator is not None
a = ActiveAlarm.objects.filter(
managed_object=managed_object.id,
discriminator=discriminator).first()
if not a:
# Try to reopen alarm
a = ArchivedAlarm.objects.filter(
managed_object=managed_object.id,
discriminator=discriminator,
control_time__gte=e.timestamp).first()
if a:
# Reopen alarm
self.logger.info("[%s|%s|%s] %s reopens alarm %s(%s)",
e.id, managed_object.name,
managed_object.address,
e.event_class.name, a.alarm_class.name,
a.id)
a = a.reopen("Reopened by disposition rule '%s'" %
r.u_name)
metrics["alarm_reopen"] += 1
if a:
# Active alarm found, refresh
self.logger.info(
"[%s|%s|%s] Contributing event %s to active alarm %s(%s)",
e.id, managed_object.name, managed_object.address,
e.event_class.name, a.alarm_class.name, a.id)
# Contribute event to alarm
e.contribute_to_alarm(a)
if e.timestamp < a.timestamp:
# Set to earlier date
a.timestamp = e.timestamp
a.save()
elif e.timestamp > a.last_update:
# Refresh last update
a.last_update = e.timestamp
a.save()
metrics["alarm_contribute"] += 1
return
# Calculate alarm coverage
summary = ServiceSummary.get_object_summary(managed_object)
summary["object"] = {managed_object.object_profile.id: 1}
#
severity = max(ServiceSummary.get_severity(summary), 1)
self.logger.info("[%s|%s|%s] %s: Calculated alarm severity is: %s",
e.id, managed_object.name, managed_object.address,
r.u_name, severity)
# Create new alarm
a = ActiveAlarm(
timestamp=e.timestamp,
last_update=e.timestamp,
managed_object=managed_object.id,
alarm_class=r.alarm_class,
severity=severity,
vars=vars,
discriminator=discriminator,
direct_services=SummaryItem.dict_to_items(summary["service"]),
direct_subscribers=SummaryItem.dict_to_items(
summary["subscriber"]),
total_objects=ObjectSummaryItem.dict_to_items(summary["object"]),
total_services=SummaryItem.dict_to_items(summary["service"]),
total_subscribers=SummaryItem.dict_to_items(summary["subscriber"]),
log=[
AlarmLog(timestamp=datetime.datetime.now(),
from_status="A",
to_status="A",
message="Alarm risen from event %s(%s) by rule '%s'" %
(str(e.id), str(e.event_class.name), r.u_name))
],
opening_event=e.id)
a.save()
e.contribute_to_alarm(a)
self.logger.info("[%s|%s|%s] %s raises alarm %s(%s): %r", e.id,
managed_object.name, managed_object.address,
e.event_class.name, a.alarm_class.name, a.id, a.vars)
metrics["alarm_raise"] += 1
self.correlate(r, a)
# Notify about new alarm
if not a.root:
a.managed_object.event(
a.managed_object.EV_ALARM_RISEN, {
"alarm": a,
"subject": a.subject,
"body": a.body,
"symptoms": a.alarm_class.symptoms,
"recommended_actions": a.alarm_class.recommended_actions,
"probable_causes": a.alarm_class.probable_causes
},
delay=a.alarm_class.get_notification_delay())
# Gather diagnostics when necessary
AlarmDiagnosticConfig.on_raise(a)
# Watch for escalations, when necessary
if config.correlator.auto_escalation and not a.root:
AlarmEscalation.watch_escalations(a)
def correlate(self, r, a):
# Topology RCA
if a.alarm_class.topology_rca:
with self.topology_rca_lock:
self.topology_rca(a)
# Rule-based RCA
with self.rca_lock:
if a.alarm_class.id in self.rca_forward:
# Check alarm is a consequence of existing one
self.set_root_cause(a)
if a.alarm_class.id in self.rca_reverse:
# Check alarm is the root cause for existing ones
self.set_reverse_root_cause(a)
# Call handlers
for h in a.alarm_class.get_handlers():
try:
has_root = bool(a.root)
h(a)
if not has_root and a.root:
self.logger.info("[%s|%s|%s] Set root to %s (handler %s)",
a.id, a.managed_object.name,
a.managed_object.address, a.root, h)
except: # noqa. Can probable happens anything from handler
error_report()
metrics["error", ("type", "alarm_handler")] += 1
# Call triggers if necessary
if r.alarm_class.id in self.triggers:
for t in self.triggers[r.alarm_class.id]:
try:
t.call(a)
except: # noqa. Can probable happens anything from trigger
error_report()
#
if not a.severity:
# Alarm severity has been reset to 0 by handlers
# Silently drop alarm
self.logger.debug("Alarm severity is 0, dropping")
a.delete()
metrics["alarm_drop"] += 1
return
def clear_alarm(self, r, e):
managed_object = self.eval_expression(r.managed_object, event=e)
if not managed_object:
self.logger.info(
"[%s|Unknown|Unknown] Referred to unknown managed object, ignoring",
e.id)
metrics["unknown_object"] += 1
return
if r.unique:
discriminator, vars = r.get_vars(e)
assert discriminator is not None
a = ActiveAlarm.objects.filter(
managed_object=managed_object.id,
discriminator=discriminator).first()
if a:
self.logger.info("[%s|%s|%s] %s clears alarm %s(%s)", e.id,
managed_object.name, managed_object.address,
e.event_class.name, a.alarm_class.name, a.id)
e.contribute_to_alarm(a)
a.closing_event = e.id
a.last_update = max(a.last_update, e.timestamp)
a.clear_alarm("Cleared by disposition rule '%s'" % r.u_name,
ts=e.timestamp)
metrics["alarm_clear"] += 1
def get_delayed_event(self, r, e):
"""
Check wrether all delayed conditions are met
:param r: Delayed rule
:param e: Event which can trigger delayed rule
"""
# @todo: Rewrite to scheduler
discriminator, vars = r.get_vars(e)
ws = e.timestamp - datetime.timedelta(seconds=r.combo_window)
de = ActiveEvent.objects.filter(managed_object=e.managed_object_id,
event_class=r.event_class,
discriminator=discriminator,
timestamp__gte=ws).first()
if not de:
# No starting event
return None
# Probable starting event found, get all interesting following event
# classes
fe = [
ee.event_class.id for ee in ActiveEvent.objects.filter(
managed_object=e.managed_object_id,
event_class__in=r.combo_event_classes,
discriminator=discriminator,
timestamp__gte=ws).order_by("timestamp")
]
if r.combo_condition == "sequence":
# Exact match
if fe == self.combo_event_classes:
return de
elif r.combo_condition == "all":
# All present
if not any([c for c in r.combo_event_classes if c not in fe]):
return de
elif r.combo_condition == "any":
# Any found
if fe:
return de
return None
def eval_expression(self, expression, **kwargs):
"""
Evaluate expression in given context
"""
env = {"re": re, "utils": utils}
env.update(kwargs)
return eval(expression, {}, env)
def on_dispose_event(self, message, event_id, event=None, *args, **kwargs):
"""
Called on new dispose message
"""
self.logger.info("[%s] Receiving message", event_id)
message.enable_async()
self.get_executor("max").submit(self.dispose_worker, message, event_id,
event)
def dispose_worker(self, message, event_id, event_hint=None):
metrics["alarm_dispose"] += 1
try:
if event_hint:
event = self.get_event_from_hint(event_hint)
else:
event = self.lookup_event(event_id)
if event:
self.dispose_event(event)
except Exception:
metrics["alarm_dispose_error"] += 1
error_report()
self.ioloop.add_callback(message.finish)
def lookup_event(self, event_id):
"""
Lookup event by id.
Uses cache heating effect from classifier
:param event_id:
:return: ActiveEvent instance or None
"""
self.logger.info("[%s] Lookup event", event_id)
e = ActiveEvent.get_by_id(event_id)
if not e:
self.logger.info("[%s] Event not found, skipping", event_id)
metrics["event_lookup_failed"] += 1
metrics["event_lookups"] += 1
return e
def get_event_from_hint(self, hint):
"""
Get ActiveEvent from json hint
:param hint:
:return:
"""
metrics["event_hints"] += 1
e = ActiveEvent.from_json(hint)
# Prevent TypeError: can't compare offset-naive and offset-aware datetimes
# when calculating alarm timestamp
e.timestamp = e.timestamp.replace(tzinfo=None)
return e
def dispose_event(self, e):
"""
Dispose event according to disposition rule
"""
event_id = str(e.id)
self.logger.info("[%s] Disposing", event_id)
drc = self.rules.get(e.event_class.id)
if not drc:
self.logger.info(
"[%s] No disposition rules for class %s, skipping", event_id,
e.event_class.name)
return
# Apply disposition rules
for r in drc:
if self.eval_expression(r.condition, event=e):
# Process action
if r.action == "drop":
self.logger.info("[%s] Dropped by action", event_id)
e.delete()
return
elif r.action == "ignore":
self.logger.info("[%s] Ignored by action", event_id)
return
elif r.action == "raise" and r.combo_condition == "none":
self.raise_alarm(r, e)
elif r.action == "clear" and r.combo_condition == "none":
self.clear_alarm(r, e)
if r.action in ("raise", "clear"):
# Write discriminator if can trigger delayed event
if r.unique and r.event_class.id in self.back_rules:
discriminator, vars = r.get_vars(e)
e.discriminator = discriminator
e.save()
# Process delayed combo conditions
if e.event_class.id in self.back_rules:
for br in self.back_rules[e.event_class.id]:
de = self.get_delayed_event(br, e)
if de:
if br.action == "raise":
self.raise_alarm(br, de)
elif br.action == "clear":
self.clear_alarm(br, de)
if r.stop_disposition:
break
self.logger.info("[%s] Disposition complete", event_id)
def topology_rca(self, alarm, seen=None):
def can_correlate(a1, a2):
return (not config.correlator.topology_rca_window
or total_seconds(a1.timestamp - a2.timestamp) <=
config.correlator.topology_rca_window)
self.logger.debug("[%s] Topology RCA", alarm.id)
seen = seen or set()
if alarm.root or alarm.id in seen:
self.logger.debug("[%s] Already correlated", alarm.id)
return # Already correlated
seen.add(alarm.id)
# Get neighboring alarms
na = {}
# Downlinks
q = Q(alarm_class=alarm.alarm_class.id,
uplinks=alarm.managed_object.id)
# Uplinks
# @todo: Try to use $graphLookup to find affinity alarms
if alarm.uplinks:
q |= Q(alarm_class=alarm.alarm_class.id,
managed_object__in=list(alarm.uplinks))
for a in ActiveAlarm.objects.filter(q):
na[a.managed_object.id] = a
# Correlate with uplinks
if alarm.uplinks and len([na[o] for o in alarm.uplinks if o in na
]) == len(alarm.uplinks):
# All uplinks are faulty
# uplinks are ordered according to path length
# Correlate with first applicable
self.logger.info("[%s] All uplinks are faulty. Correlating",
alarm.id)
for u in alarm.uplinks:
a = na[u]
if can_correlate(alarm, a):
self.logger.info("[%s] Set root to %s", alarm.id, a.id)
alarm.set_root(a)
metrics["alarm_correlated_topology"] += 1
break
# Correlate neighbors' alarms
for d in na:
self.topology_rca(na[d], seen)
self.logger.debug("[%s] Correlation completed", alarm.id)