def GET(self, deviceId, notificationId):
"""
Get single notification
::
GET /_notifications/{deviceId}/{notificationId}
Returns:
::
{
"uid": "e78599c4-758b-4c6e-87b1-daabaccff798",
"timestamp": "2014-02-07 16:26:44",
"metric": "e5511f295a474037a75bc966d02b67d2",
"acknowledged": 0,
"seen": 0,
"windowsize": 3600,
"device": "9a90eaf2-6374-4230-aa96-0830c0a737fe"
}
:param uid: Notification ID
:type uid: str
:param timestamp: Notification timestamp
:type timestamp: timestamp
:param metric: Metric that triggered notification
:type metric: str
:param acknowledged: Acknowledged status
:type acknowledged: int
:param seen: Seen status
:type seen: int
:param windowsize: Notification window in seconds during which no other
notifications for a given instance should be sent to a given device
:type windowsize: int
:param device: Device ID
:type device: str
"""
# Update the last_timestamp for the notification device.
try:
with web.ctx.connFactory() as conn:
repository.updateNotificationDeviceTimestamp(conn, deviceId)
except ObjectNotFoundError:
return web.notfound("Notification device not found: %s" % deviceId)
try:
with web.ctx.connFactory() as conn:
notificationRow = repository.getNotification(conn,
notificationId,
NotificationHandler.fields)
notificationDict = dict([(col, notificationRow[col])
for col in NotificationHandler.fields])
if notificationRow["device"] != deviceId:
return web.notfound("Device not found: %s" % deviceId)
self.addStandardHeaders()
return utils.jsonEncode(notificationDict)
except ObjectNotFoundError:
return web.notfound("Notification not found: %s" % notificationId)
def messageHandler(self, message):
""" Inspect all inbound model results in a batch for anomaly thresholds and
trigger notifications where applicable.
:param amqp.messages.ConsumerMessage message: ``message.body`` is a
serialized batch of model inference results generated in
``AnomalyService`` and must be deserialized using
``AnomalyService.deserializeModelResult()``. The message conforms to
htmengine/runtime/json_schema/model_inference_results_msg_schema.json
"""
if message.properties.headers and "dataType" in message.properties.headers:
# Not a model inference result
return
grok.app.config.loadConfig() # reload config on every batch
engine = repository.engineFactory()
# Cache minimum threshold to trigger any notification to avoid permuting
# settings x metricDataRows
try:
try:
batch = AnomalyService.deserializeModelResult(message.body)
except Exception:
self._log.exception("Error deserializing model result")
raise
# Load all settings for all users (once per incoming batch)
with engine.connect() as conn:
settings = repository.retryOnTransientErrors(
repository.getAllNotificationSettings)(conn)
self._log.debug("settings: %r" % settings)
if settings:
minThreshold = min(setting.sensitivity for setting in settings)
else:
minThreshold = 0.99999
metricInfo = batch["metric"]
metricId = metricInfo["uid"]
resource = metricInfo["resource"]
for row in batch["results"]:
if row["anomaly"] >= minThreshold:
for settingObj in settings:
if row["rowid"] <= 1000:
continue # Not enough data
rowDatetime = datetime.utcfromtimestamp(row["ts"])
if rowDatetime < datetime.utcnow() - timedelta(seconds=3600):
continue # Skip old
if row["anomaly"] >= settingObj.sensitivity:
# First let's clear any old users out of the database.
with engine.connect() as conn:
repository.retryOnTransientErrors(
repository.deleteStaleNotificationDevices)(
conn, _NOTIFICATION_DEVICE_STALE_DAYS)
# If anomaly_score meets or exceeds any of the device
# notification sensitivity settings, trigger notification.
# repository.addNotification() will handle throttling.
notificationId = str(uuid.uuid4())
with engine.connect() as conn:
result = repository.retryOnTransientErrors(
repository.addNotification)(conn,
uid=notificationId,
server=resource,
metric=metricId,
rowid=row["rowid"],
device=settingObj.uid,
windowsize=(
settingObj.windowsize),
timestamp=rowDatetime,
acknowledged=0,
seen=0)
self._log.info("NOTIFICATION=%s SERVER=%s METRICID=%s DEVICE=%s "
"Notification generated. " % (notificationId,
resource, metricId,
settingObj.uid))
if (result is not None and
result.rowcount > 0 and
settingObj.email_addr):
# Notification was generated. Attempt to send email
with engine.connect() as conn:
notificationObj = repository.getNotification(conn,
notificationId)
self.sendNotificationEmail(engine,
settingObj,
notificationObj)
if not settings:
# There are no device notification settings stored on this server,
# no notifications will be generated. However, log that a
# an anomaly was detected and notification would be sent if there
# were any configured devices
self._log.info("<%r>" % (metricInfo) + (
"{TAG:APP.NOTIFICATION} Anomaly "
"detected at %s, but no devices are "
"configured.") % rowDatetime)
finally:
message.ack()
# Do cleanup
with engine.connect() as conn:
repository.clearOldNotifications(conn) # Delete all notifications outside
def messageHandler(self, message):
""" Inspect all inbound model results in a batch for anomaly thresholds and
trigger notifications where applicable.
:param amqp.messages.ConsumerMessage message: ``message.body`` is a
serialized batch of model inference results generated in
``AnomalyService`` and must be deserialized using
``AnomalyService.deserializeModelResult()``. The message conforms to
htmengine/runtime/json_schema/model_inference_results_msg_schema.json
"""
if message.properties.headers and "dataType" in message.properties.headers:
# Not a model inference result
message.ack()
return
grok.app.config.loadConfig() # reload config on every batch
engine = repository.engineFactory()
# Cache minimum threshold to trigger any notification to avoid permuting
# settings x metricDataRows
try:
try:
batch = AnomalyService.deserializeModelResult(message.body)
except Exception:
self._log.exception("Error deserializing model result")
raise
# Load all settings for all users (once per incoming batch)
with engine.connect() as conn:
settings = repository.retryOnTransientErrors(
repository.getAllNotificationSettings)(conn)
self._log.debug("settings: %r" % settings)
if settings:
minThreshold = min(setting.sensitivity for setting in settings)
else:
minThreshold = 0.99999
metricInfo = batch["metric"]
metricId = metricInfo["uid"]
resource = metricInfo["resource"]
for row in batch["results"]:
if row["anomaly"] >= minThreshold:
rowDatetime = datetime.utcfromtimestamp(row["ts"])
if not settings:
# There are no device notification settings stored on this server,
# no notifications will be generated. However, log that a
# an anomaly was detected and notification would be sent if there
# were any configured devices
self._log.info("<%r>" % (metricInfo) +
("{TAG:APP.NOTIFICATION} Anomaly "
"detected at %s, but no devices are "
"configured.") % rowDatetime)
continue
for settingObj in settings:
if row["rowid"] <= 1000:
continue # Not enough data
if rowDatetime < datetime.utcnow() - timedelta(
seconds=3600):
continue # Skip old
if row["anomaly"] >= settingObj.sensitivity:
# First let's clear any old users out of the database.
with engine.connect() as conn:
repository.retryOnTransientErrors(
repository.deleteStaleNotificationDevices)(
conn, _NOTIFICATION_DEVICE_STALE_DAYS)
# If anomaly_score meets or exceeds any of the device
# notification sensitivity settings, trigger notification.
# repository.addNotification() will handle throttling.
notificationId = str(uuid.uuid4())
with engine.connect() as conn:
result = repository.retryOnTransientErrors(
repository.addNotification)(
conn,
uid=notificationId,
server=resource,
metric=metricId,
rowid=row["rowid"],
device=settingObj.uid,
windowsize=(settingObj.windowsize),
timestamp=rowDatetime,
acknowledged=0,
seen=0)
self._log.info(
"NOTIFICATION=%s SERVER=%s METRICID=%s DEVICE=%s "
"Notification generated. " %
(notificationId, resource, metricId,
settingObj.uid))
if (result is not None and result.rowcount > 0
and settingObj.email_addr):
# Notification was generated. Attempt to send email
with engine.connect() as conn:
notificationObj = repository.getNotification(
conn, notificationId)
self.sendNotificationEmail(
engine, settingObj, notificationObj)
finally:
message.ack()
# Do cleanup
with engine.connect() as conn:
repository.clearOldNotifications(
conn) # Delete all notifications outside