def meter_sms_actions(self, project_id, receivers):
ctxt = get_admin_context()
local_receivers = [r for r in receivers if r.startswith("+82")]
international_receivers = [
r for r in receivers if not r.startswith("+82")
]
self.api.put_metric_data(ctxt,
project_id,
namespace="SPCS/SYNAPS",
metric_name="LocalSMSActionCount",
dimensions={},
value=len(local_receivers),
unit="Count",
timestamp=utils.strtime(utils.utcnow()),
is_admin=True)
self.api.put_metric_data(ctxt,
project_id,
namespace="SPCS/SYNAPS",
metric_name="InternationalSMSActionCount",
dimensions={},
value=len(international_receivers),
unit="Count",
timestamp=utils.strtime(utils.utcnow()),
is_admin=True)
LOG.audit("Meter SMS: %s %s %s", project_id, len(receivers), receivers)
def set_alarm_actions(self, context, project_id, alarm_names, enabled):
for alarm_name in alarm_names:
alarm_key = self.cass.get_metric_alarm_key(project_id, alarm_name)
if not alarm_key:
raise InvalidParameterValue("Alarm %s does not exist" %
alarm_name)
for alarm_name in alarm_names:
alarm_key = self.cass.get_metric_alarm_key(project_id, alarm_name)
history_data = {'actions_enabled':enabled,
'project_id': project_id}
self.cass.put_metric_alarm(alarm_key, history_data)
if enabled:
summary = "Alarm actions for %s are enabled" % alarm_name
else:
summary = "Alarm actions for %s are disabled" % alarm_name
history_key = uuid.uuid4()
history_column = {
'project_id': project_id,
'alarm_key': alarm_key,
'alarm_name': alarm_name,
'history_data': json.dumps(history_data),
'history_item_type': 'ConfigurationUpdate',
'history_summary':summary,
'timestamp': utils.utcnow()
}
self.cass.insert_alarm_history(history_key, history_column)
def put_metric_data(self, metric_key, timestamp, value, unit=None):
def get_stats(tmp_stat):
try:
ret = dict(zip(self.COLUMNS, map(lambda x: x.values()[0], tmp_stat)))
for v in ret:
if v == None:
v = float("nan")
except IndexError:
storm.log("index %s is not in DB." % time_idx)
ret = {
"SampleCount": float("nan"),
"Sum": float("nan"),
"Average": float("nan"),
"Minimum": float("nan"),
"Maximum": float("nan"),
}
return ret
time_idx = timestamp.replace(second=0, microsecond=0)
time_diff = utils.utcnow() - time_idx
if timedelta(seconds=self.STATISTICS_TTL) < time_diff:
msg = "index %s is older than TTL. It doesn't need to insert DB"
storm.log(msg % time_idx)
return
if time_idx not in self.df.index:
self._reindex()
value = utils.to_default_unit(value, unit)
try:
stat = self.df.ix[time_idx]
for v in stat:
if v == None:
v = float("nan")
except KeyError:
stat = self.cass.get_metric_statistics_for_key(metric_key, time_idx)
stat = get_stats(stat)
stat["SampleCount"] = 1.0 if isnull(stat["SampleCount"]) else stat["SampleCount"] + 1.0
stat["Sum"] = value if isnull(stat["Sum"]) else stat["Sum"] + value
stat["Average"] = stat["Sum"] / stat["SampleCount"]
stat["Minimum"] = value if (isnull(stat["Minimum"]) or stat["Minimum"] > value) else stat["Minimum"]
stat["Maximum"] = value if (isnull(stat["Maximum"]) or stat["Maximum"] < value) else stat["Maximum"]
# insert into DB
stat_dict = {
"SampleCount": {time_idx: stat["SampleCount"]},
"Sum": {time_idx: stat["Sum"]},
"Average": {time_idx: stat["Average"]},
"Minimum": {time_idx: stat["Minimum"]},
"Maximum": {time_idx: stat["Maximum"]},
}
ttl = self.STATISTICS_TTL - time_diff.total_seconds()
self.cass.insert_stat(self.metric_key, stat_dict, ttl)
storm.log("metric data inserted %s" % (self.metric_key))
def parse_metric_data(metric):
try:
dimensions_ = metric.get('dimensions', {})
dimensions = utils.extract_member_dict(dimensions_)
except KeyError:
err = "Unsuitable Dimensions Value - %s" % str(dimensions_)
raise InvalidParameterValue(err)
self.check_dimensions(dimensions)
metric_name = metric.get('metric_name')
unit = metric.get('unit', 'None')
value = metric.get('value')
req_timestamp = metric.get('timestamp')
timestamp = req_timestamp if req_timestamp \
else utils.strtime(utils.utcnow())
timebound = (datetime.datetime.utcnow() -
datetime.timedelta(
seconds=FLAGS.get('statistics_ttl')))
if utils.parse_strtime(timestamp) < timebound:
err = "Stale metric data - %s" % timestamp
raise InvalidParameterValue(err)
self.check_metric_name(metric_name)
self.check_unit(unit)
return metric_name, dimensions, value, unit, timestamp
def log_request_completion(self, response, request, start):
apireq = request.environ.get('cloudwatch.request', None)
if apireq:
controller = apireq.controller
action = apireq.action
else:
controller = None
action = None
ctxt = request.environ.get('synaps.context', None)
delta = utils.utcnow() - start
seconds = delta.seconds
microseconds = delta.microseconds
LOG.info(
"%s.%ss %s %s %s %s:%s %s [%s] %s %s",
seconds,
microseconds,
request.remote_addr,
request.method,
"%s%s" % (request.script_name, request.path_info),
controller,
action,
response.status_int,
request.user_agent,
request.content_type,
response.content_type,
context=ctxt)
def log_request_completion(self, response, request, start):
apireq = request.environ.get('cloudwatch.request', None)
if apireq:
controller = apireq.controller
action = apireq.action
else:
controller = None
action = None
ctxt = request.environ.get('synaps.context', None)
delta = utils.utcnow() - start
seconds = delta.seconds
microseconds = delta.microseconds
LOG.info(
"%s.%ss %s %s %s %s:%s %s [%s] %s %s",
seconds,
microseconds,
request.remote_addr,
request.method,
"%s%s" % (request.script_name, request.path_info),
controller,
action,
response.status_int,
request.user_agent,
request.content_type,
response.content_type,
context=ctxt)
def put_metric_data(self,
context,
project_id,
namespace,
metric_name,
dimensions,
value,
unit,
timestamp=None,
is_admin=False):
admin_namespace = FLAGS.get('admin_namespace')
if namespace.startswith(admin_namespace) and not is_admin:
raise AdminRequired()
timestamp = timestamp or utils.strtime(utils.utcnow())
message = {
'project_id': project_id,
'namespace': namespace,
'metric_name': metric_name,
'dimensions': dimensions,
'value': value,
'unit': unit,
'timestamp': timestamp,
'context': context.to_dict()
}
self.rpc.send_msg(rpc.PUT_METRIC_DATA_MSG_ID, message)
LOG.info("PUT_METRIC_DATA_MSG sent")
return {}
def set_alarm_actions(self, context, project_id, alarm_names, enabled):
for alarm_name in alarm_names:
alarm_key = self.cass.get_metric_alarm_key(project_id, alarm_name)
if not alarm_key:
raise InvalidParameterValue("Alarm %s does not exist" %
alarm_name)
for alarm_name in alarm_names:
alarm_key = self.cass.get_metric_alarm_key(project_id, alarm_name)
history_data = {
'actions_enabled': enabled,
'project_id': project_id
}
self.cass.put_metric_alarm(alarm_key, history_data)
if enabled:
summary = "Alarm actions for %s are enabled" % alarm_name
else:
summary = "Alarm actions for %s are disabled" % alarm_name
history_key = uuid.uuid4()
history_column = {
'project_id': project_id,
'alarm_key': alarm_key,
'alarm_name': alarm_name,
'history_data': json.dumps(history_data),
'history_item_type': 'ConfigurationUpdate',
'history_summary': summary,
'timestamp': utils.utcnow()
}
self.cass.insert_alarm_history(history_key, history_column)
def check_alarms(self, query_time=None):
query_time = query_time if query_time else utils.utcnow()
for alarmkey, alarm in self.alarms.iteritems():
self._check_alarm(alarmkey, alarm, query_time)
self.lastchecked = self.lastchecked if self.lastchecked else query_time
if self.lastchecked < query_time:
self.lastchecked = query_time
def check_alarms(self, query_time=None):
query_time = query_time if query_time else utils.utcnow()
for alarmkey, alarm in self.alarms.iteritems():
self._check_alarm(alarmkey, alarm, query_time)
self.lastchecked = self.lastchecked if self.lastchecked else query_time
if self.lastchecked < query_time:
self.lastchecked = query_time
def meter_instance_actions(self, project_id, receivers):
ctxt = get_admin_context()
self.api.put_metric_data(ctxt, project_id, namespace="SPCS/SYNAPS",
metric_name="InstanceActionCount",
dimensions={}, value=len(receivers),
unit="Count",
timestamp=utils.strtime(utils.utcnow()),
is_admin=True)
LOG.audit("Meter InstanceAction: %s %s %s", project_id, len(receivers),
receivers)
def meter_instance_actions(self, project_id, receivers):
ctxt = get_admin_context()
self.api.put_metric_data(ctxt,
project_id,
namespace="SPCS/SYNAPS",
metric_name="InstanceActionCount",
dimensions={},
value=len(receivers),
unit="Count",
timestamp=utils.strtime(utils.utcnow()),
is_admin=True)
LOG.audit("Meter InstanceAction: %s %s %s", project_id, len(receivers),
receivers)
def meter_sms_actions(self, project_id, receivers):
ctxt = get_admin_context()
local_receivers = [r for r in receivers if r.startswith("+82")]
international_receivers = [r for r in receivers if not
r.startswith("+82")]
self.api.put_metric_data(ctxt, project_id, namespace="SPCS/SYNAPS",
metric_name="LocalSMSActionCount",
dimensions={}, value=len(local_receivers),
unit="Count",
timestamp=utils.strtime(utils.utcnow()),
is_admin=True)
self.api.put_metric_data(ctxt, project_id, namespace="SPCS/SYNAPS",
metric_name="InternationalSMSActionCount",
dimensions={},
value=len(international_receivers),
unit="Count",
timestamp=utils.strtime(utils.utcnow()),
is_admin=True)
LOG.audit("Meter SMS: %s %s %s", project_id, len(receivers), receivers)
def alarm_history_delete(self, alarm_key, alarm):
item_type = 'ConfigurationUpdate'
summary = "Alarm %s deleted" % alarm['alarm_name']
history_key = uuid.uuid4()
history_column = {
'project_id': alarm['project_id'],
'alarm_key': alarm_key,
'alarm_name': alarm['alarm_name'],
'history_data': json.dumps({'type': 'Delete', 'version': '1.0'}),
'history_item_type': item_type,
'history_summary': summary,
'timestamp': utils.utcnow()
}
self.cass.insert_alarm_history(history_key, history_column)
def alarm_history_delete(self, alarm_key, alarm):
item_type = "ConfigurationUpdate"
summary = "Alarm %s deleted" % alarm["alarm_name"]
history_key = uuid.uuid4()
history_column = {
"project_id": alarm["project_id"],
"alarm_key": alarm_key,
"alarm_name": alarm["alarm_name"],
"history_data": json.dumps({"type": "Delete", "version": "1.0"}),
"history_item_type": item_type,
"history_summary": summary,
"timestamp": utils.utcnow(),
}
self.cass.insert_alarm_history(history_key, history_column)
def alarm_history_state_update(self, alarmkey, alarm,
notification_message):
"""
update alarm history based on notification message
notification_message = {
'method': "email",
'receivers': email_receivers,
'subject': message['subject'],
'body': message['body'],
'state': "ok" | "failed"
}
"""
item_type = 'Action'
project_id = alarm['project_id']
if notification_message.get("method") in ("email", "SMS"):
if notification_message.get('state', 'ok') == 'ok':
history_summary = "Message '%(subject)s' is sent via"\
" %(method)s" % notification_message
else:
history_summary = "Failed to send a message '%(subject)s' via"\
" %(method)s" % notification_message
elif notification_message.get("method") in ("InstanceAction"):
if notification_message.get('state', 'ok') == 'ok':
history_summary = "%(method)s %(receivers)s is invoked." % \
notification_message
else:
history_summary = "Failed to invoke %(method)s %(receivers)s."\
% notification_message
timestamp = utils.utcnow()
history_key = uuid4()
column = {
'project_id': project_id,
'alarm_key': UUID(alarmkey),
'alarm_name': alarm['alarm_name'],
'history_data': json.dumps(notification_message),
'history_item_type': item_type,
'history_summary': history_summary,
'timestamp': timestamp
}
self.cass.insert_alarm_history(history_key,
column,
ttl=self.statistics_ttl)
LOG.info("History updated. %s", history_summary)
def alarm_history_state_update(self, alarmkey, alarm,
notification_message):
"""
update alarm history based on notification message
notification_message = {
'method': "email",
'receivers': email_receivers,
'subject': message['subject'],
'body': message['body'],
'state': "ok" | "failed"
}
"""
item_type = 'Action'
project_id = alarm['project_id']
if notification_message.get("method") in ("email", "SMS"):
if notification_message.get('state', 'ok') == 'ok':
history_summary = "Message '%(subject)s' is sent via"\
" %(method)s" % notification_message
else:
history_summary = "Failed to send a message '%(subject)s' via"\
" %(method)s" % notification_message
elif notification_message.get("method") in ("InstanceAction"):
if notification_message.get('state', 'ok') == 'ok':
history_summary = "%(method)s %(receivers)s is invoked." % \
notification_message
else:
history_summary = "Failed to invoke %(method)s %(receivers)s."\
% notification_message
timestamp = utils.utcnow()
history_key = uuid4()
column = {'project_id':project_id,
'alarm_key':UUID(alarmkey),
'alarm_name':alarm['alarm_name'],
'history_data': json.dumps(notification_message),
'history_item_type':item_type,
'history_summary':history_summary,
'timestamp':timestamp}
self.cass.insert_alarm_history(history_key, column,
ttl=self.statistics_ttl)
LOG.info("History updated. %s", history_summary)
def put_metric_data(self, context, project_id, namespace, metric_name,
dimensions, value, unit, timestamp=None,
is_admin=False):
admin_namespace = FLAGS.get('admin_namespace')
if namespace.startswith(admin_namespace) and not is_admin:
raise AdminRequired()
timestamp = timestamp or utils.strtime(utils.utcnow())
message = {'project_id': project_id, 'namespace':namespace,
'metric_name': metric_name, 'dimensions': dimensions,
'value':value, 'unit':unit, 'timestamp':timestamp,
'context': context.to_dict()}
self.rpc.send_msg(rpc.PUT_METRIC_DATA_MSG_ID, message)
LOG.info("PUT_METRIC_DATA_MSG sent")
return {}
def __init__(
self,
user_id,
project_id,
is_admin=None,
read_deleted="no",
roles=None,
remote_address=None,
timestamp=None,
request_id=None,
auth_token=None,
strategy="noauth",
overwrite=True,
):
"""
:param read_deleted: 'no' indicates deleted records are hidden, 'yes'
indicates deleted records are visible, 'only' indicates that
*only* deleted records are visible.
:param overwrite: Set to False to ensure that the greenthread local
copy of the index is not overwritten.
"""
self.user_id = user_id
self.project_id = project_id
self.roles = roles or []
self.is_admin = is_admin
if self.is_admin is None:
self.is_admin = "admin" in [x.lower() for x in self.roles]
elif self.is_admin and "admin" not in self.roles:
self.roles.append("admin")
self.read_deleted = read_deleted
self.remote_address = remote_address
if not timestamp:
timestamp = utils.utcnow()
if isinstance(timestamp, basestring):
timestamp = utils.parse_strtime(timestamp)
self.timestamp = timestamp
if not request_id:
request_id = generate_request_id()
self.request_id = request_id
self.auth_token = auth_token
self.strategy = strategy
if overwrite or not hasattr(local.store, "context"):
local.store.context = self
def alarm_history_delete(self, alarm_key, alarm):
item_type = 'ConfigurationUpdate'
summary = "Alarm %s deleted" % alarm['alarm_name']
history_key = uuid.uuid4()
history_column = {
'project_id': alarm['project_id'],
'alarm_key': alarm_key,
'alarm_name': alarm['alarm_name'],
'history_data': json.dumps({
'type': 'Delete',
'version': '1.0'
}),
'history_item_type': item_type,
'history_summary': summary,
'timestamp': utils.utcnow()
}
self.cass.insert_alarm_history(history_key, history_column)
def parse_metric_data(metric):
try:
dimensions_ = metric.get('dimensions', {})
dimensions = utils.extract_member_dict(dimensions_)
except KeyError:
err = "Unsuitable Dimensions Value - %s" % str(dimensions_)
raise InvalidParameterValue(err)
metric_name = metric.get('metric_name')
unit = metric.get('unit', 'None')
value = metric.get('value')
req_timestamp = metric.get('timestamp')
timestamp = req_timestamp if req_timestamp \
else utils.strtime(utils.utcnow())
self.check_metric_name(metric_name)
self.check_unit(unit)
return metric_name, dimensions, value, unit, timestamp
def __init__(self,
user_id,
project_id,
is_admin=None,
read_deleted="no",
roles=None,
remote_address=None,
timestamp=None,
request_id=None,
auth_token=None,
strategy='noauth',
overwrite=True):
"""
:param read_deleted: 'no' indicates deleted records are hidden, 'yes'
indicates deleted records are visible, 'only' indicates that
*only* deleted records are visible.
:param overwrite: Set to False to ensure that the greenthread local
copy of the index is not overwritten.
"""
self.user_id = user_id
self.project_id = project_id
self.roles = roles or []
self.is_admin = is_admin
if self.is_admin is None:
self.is_admin = 'admin' in [x.lower() for x in self.roles]
elif self.is_admin and 'admin' not in self.roles:
self.roles.append('admin')
self.read_deleted = read_deleted
self.remote_address = remote_address
if not timestamp:
timestamp = utils.utcnow()
if isinstance(timestamp, basestring):
timestamp = utils.parse_strtime(timestamp)
self.timestamp = timestamp
if not request_id:
request_id = generate_request_id()
self.request_id = request_id
self.auth_token = auth_token
self.strategy = strategy
if overwrite or not hasattr(local.store, 'context'):
local.store.context = self
def alarm_history_state_update(self, alarmkey, alarm, new_state,
old_state):
item_type = 'StateUpdate'
project_id = alarm['project_id']
summary_tpl = "Alarm updated from %s to %s"
summary = summary_tpl % (old_state.get('stateValue',
'INSUFFICIENT_DATA'),
new_state.get('stateValue',
'INSUFFICIENT_DATA'))
timestamp = utils.utcnow()
data = {'newState':new_state, 'oldState':old_state, 'version':'1.0'}
history_key = uuid.uuid4()
column = {'project_id':project_id, 'alarm_key':alarmkey,
'alarm_name':alarm['alarm_name'],
'history_data':json.dumps(data),
'history_item_type':item_type, 'history_summary':summary,
'timestamp':timestamp}
self.cass.insert_alarm_history(history_key, column)
LOG.audit("Alarm history added \n %s", summary)
def alarm_history_state_update(self, alarmkey, alarm, new_state,
old_state):
item_type = 'StateUpdate'
project_id = alarm['project_id']
summary_tpl = "Alarm updated from %s to %s"
summary = summary_tpl % (
old_state.get('stateValue', 'INSUFFICIENT_DATA'),
new_state.get('stateValue', 'INSUFFICIENT_DATA'))
timestamp = utils.utcnow()
data = {'newState': new_state, 'oldState': old_state, 'version': '1.0'}
history_key = uuid.uuid4()
column = {
'project_id': project_id,
'alarm_key': alarmkey,
'alarm_name': alarm['alarm_name'],
'history_data': json.dumps(data),
'history_item_type': item_type,
'history_summary': summary,
'timestamp': timestamp
}
self.cass.insert_alarm_history(history_key, column)
LOG.audit("Alarm history added \n %s", summary)
def alarm_history_state_update(self, alarmkey, alarm, notification_message):
# notification_message = {
# 'method': "email",
# 'receivers': email_receivers,
# 'subject': message['subject'],
# 'body': message['body']
# }
item_type = 'Action'
project_id = alarm['project_id']
history_summary = ("Message '%(subject)s' is sent via %(method)s" %
notification_message)
timestamp = utils.utcnow()
history_key = uuid4()
column = {'project_id':project_id,
'alarm_key':UUID(alarmkey),
'alarm_name':alarm['alarm_name'],
'history_data': json.dumps(notification_message),
'history_item_type':item_type,
'history_summary':history_summary,
'timestamp':timestamp}
self.cass.insert_alarm_history(history_key, column)
storm.log("alarm history \n %s" % history_summary)
def alarm_history_state_update(self, alarmkey, alarm, new_state, old_state):
item_type = "StateUpdate"
project_id = alarm["project_id"]
summary_tpl = "Alarm updated from %s to %s"
summary = summary_tpl % (
old_state.get("stateValue", "INSUFFICIENT_DATA"),
new_state.get("stateValue", "INSUFFICIENT_DATA"),
)
timestamp = utils.utcnow()
data = {"newState": new_state, "oldState": old_state, "version": "1.0"}
history_key = uuid.uuid4()
column = {
"project_id": project_id,
"alarm_key": alarmkey,
"alarm_name": alarm["alarm_name"],
"history_data": json.dumps(data),
"history_item_type": item_type,
"history_summary": summary,
"timestamp": timestamp,
}
self.cass.insert_alarm_history(history_key, column)
storm.log("alarm history \n %s" % summary)
def check_alarms(self):
for alarmkey, alarm in self.alarms.iteritems():
self._check_alarm(alarmkey, alarm)
self.lastchecked = utils.utcnow()
def put_metric_data(self, metric_key, timestamp, value, unit=None):
time_idx = timestamp.replace(second=0, microsecond=0)
if timedelta(seconds=self.cass.STATISTICS_TTL) < (utils.utcnow() - time_idx):
msg = "index %s is older than TTL. It doesn't need to insert DB"
storm.log(msg % time_idx)
return
if time_idx not in self.df.index:
self._reindex()
value = utils.to_default_unit(value, unit)
try:
stat = self.df.ix[time_idx]
for v in stat:
if v == None:
v = float("nan")
except KeyError:
stat = self.cass.get_metric_statistics_for_key(metric_key, time_idx)
if [{}, {}, {}, {}, {}] == stat:
storm.log("index %s is not in DB." % time_idx)
stat = {
"SampleCount": float("nan"),
"Sum": float("nan"),
"Average": float("nan"),
"Minimum": float("nan"),
"Maximum": float("nan"),
}
else:
stat = dict(zip(self.cass.STATISTICS, map(lambda x: x.values()[0], stat)))
for v in stat:
if v == None:
v = float("nan")
stat["SampleCount"] = 1.0 if isnan(stat["SampleCount"]) else stat["SampleCount"] + 1.0
stat["Sum"] = value if isnan(stat["Sum"]) else stat["Sum"] + value
stat["Average"] = stat["Sum"] / stat["SampleCount"]
stat["Minimum"] = value if isnan(stat["Minimum"]) or stat["Minimum"] > value else stat["Minimum"]
stat["Maximum"] = value if isnan(stat["Maximum"]) or stat["Maximum"] < value else stat["Maximum"]
# insert into DB
stat_dict = {
"SampleCount": {time_idx: stat["SampleCount"]},
"Sum": {time_idx: stat["Sum"]},
"Average": {time_idx: stat["Average"]},
"Minimum": {time_idx: stat["Minimum"]},
"Maximum": {time_idx: stat["Maximum"]},
}
self.cass.insert_stat(self.metric_key, stat_dict)
storm.log("metric data inserted %s" % (self.metric_key))
# self.df.ix[time_idx] = stat
now = utils.utcnow().replace(second=0, microsecond=0)
timedelta_buf = now - time_idx
if timedelta_buf <= timedelta(seconds=self.MAX_START_PERIOD):
# check alarms
self.check_alarms()
def process_put_metric_alarm_msg(self, metric_key, message):
def get_alarm_key(project_id, alarm_name):
key = self.cass.get_metric_alarm_key(project_id, alarm_name)
return key
def metricalarm_for_json(metricalarm):
cut = metricalarm.get('alarm_configuration_updated_timestamp')
alarm_for_json = {
'actionEnabled': metricalarm.get('actions_enabled', False),
'alarmActions': metricalarm.get('alarm_actions', []),
'alarmArn': metricalarm.get('alarm_arn'),
'alarmConfigurationUpdatedTimestamp': utils.strtime(cut),
'alarmDescription': metricalarm.get('alarm_description'),
'alarmName': metricalarm.get('alarm_name'),
'comparisonOperator': metricalarm.get('comparison_operator'),
'dimensions': metricalarm.get('dimensions'),
'evaluationPeriods': metricalarm.get('evaluation_periods'),
'insufficientDataActions':
metricalarm.get('insufficient_data_actions', []),
'metricName':metricalarm.get('metric_name'),
'namespace':metricalarm.get('namespace'),
'okactions':metricalarm.get('ok_actions', []),
'statistic':metricalarm.get('statistic'),
'threshold':metricalarm.get('threshold'),
'unit':metricalarm.get('unit'),
}
return alarm_for_json
if metric_key not in self.metrics:
self.metrics[metric_key] = MetricMonitor(metric_key, self.cass)
project_id = message['project_id']
metricalarm = message['metricalarm']
# build metricalarm column, alarmhistory column
alarm_key = get_alarm_key(project_id, metricalarm['alarm_name'])
history_type = 'Update' if alarm_key else 'Create'
now = utils.utcnow()
if history_type == 'Update':
original_alarm = self.cass.get_metric_alarm(alarm_key)
for dict_key in ['state_updated_timestamp', 'state_reason',
'state_reason_data', 'state_value', 'project_id']:
metricalarm[dict_key] = original_alarm[dict_key]
metricalarm['alarm_configuration_updated_timestamp'] = now
history_data = json.dumps({
'updatedAlarm':metricalarm_for_json(metricalarm),
'type':history_type,
'version': '1.0'
})
summary = "Alarm %s updated" % metricalarm['alarm_name']
else:
alarm_key = uuid.uuid4()
state_reason = "Unchecked: Initial alarm creation"
metricalarm.update({'state_updated_timestamp': now,
'alarm_configuration_updated_timestamp': now,
'state_reason': state_reason,
'state_reason_data': json.dumps({}),
'state_value': "INSUFFICIENT_DATA",
'project_id': project_id})
history_data = json.dumps({
'createdAlarm': metricalarm_for_json(metricalarm),
'type':history_type, 'version': '1.0'
})
summary = "Alarm %s created" % metricalarm['alarm_name']
metricalarm['metric_key'] = metric_key
history_key = uuid.uuid4()
history_column = {
'project_id': project_id,
'alarm_key': alarm_key,
'alarm_name': metricalarm['alarm_name'],
'history_data': history_data,
'history_item_type': 'ConfigurationUpdate',
'history_summary':summary,
'timestamp': utils.utcnow()
}
self.cass.put_metric_alarm(alarm_key, metricalarm)
self.cass.insert_alarm_history(history_key, history_column)
LOG.info("metric alarm inserted: %s %s", alarm_key, metricalarm)
# load metric in memory
self.metrics[metric_key].put_alarm(alarm_key, metricalarm)
def put_metric_alarm(self, project_id, metricalarm):
"""
알람을 DB에 넣고 값이 빈 dictionary 를 반환한다.
메트릭 유무 확인
알람 히스토리 발생.
"""
def metricalarm_for_json(metricalarm):
alarm_for_json = {
'actionEnabled': metricalarm.get('actions_enabled', False),
'alarmActions': metricalarm.get('alarm_actions', []),
'alarmArn': metricalarm.get('alarm_arn'),
'alarmConfigurationUpdatedTimestamp':
metricalarm.get('alarm_configuration_updated_timestamp'),
'alarmDescription': metricalarm.get('alarm_description'),
'alarmName': metricalarm.get('alarm_name'),
'comparisonOperator': metricalarm.get('comparison_operator'),
'dimensions': metricalarm.get('dimensions'),
'evaluationPeriods': metricalarm.get('evaluation_periods'),
'insufficientDataActions':
metricalarm.get('insufficient_data_actions', []),
'metricName':metricalarm.get('metric_name'),
'namespace':metricalarm.get('namespace'),
'okactions':metricalarm.get('ok_actions', []),
'statistic':metricalarm.get('statistic'),
'threshold':metricalarm.get('threshold'),
'unit':metricalarm.get('unit'),
}
return alarm_for_json
now = utils.utcnow()
metricalarm = metricalarm.to_columns()
# 메트릭 유무 확인
metric_key = self.cass.get_metric_key_or_create(
project_id=project_id,
namespace=metricalarm['namespace'],
metric_name=metricalarm['metric_name'],
dimensions=json.loads(metricalarm['dimensions']),
unit=metricalarm['unit'],
)
metricalarm['project_id'] = project_id
metricalarm['metric_key'] = metric_key
metricalarm['alarm_arn'] = "arn:spcs:synaps:%s:alarm:%s" % (
project_id, metricalarm['alarm_name']
)
metricalarm['alarm_configuration_updated_timestamp'] = now
# 알람 유무 확인
alarm_key = self.cass.get_metric_alarm_key(
project_id=project_id, alarm_name=metricalarm['alarm_name']
)
if alarm_key:
history_type = 'Update'
before_alarm = self.cass.get_metric_alarm(alarm_key)
if before_alarm['metric_key'] != metricalarm['metric_key']:
raise InvalidRequest("Metric cannot be changed.")
metricalarm['state_updated_timestamp'] = \
before_alarm['state_updated_timestamp']
metricalarm['state_reason'] = before_alarm['state_reason']
metricalarm['state_reason_data'] = \
before_alarm['state_reason_data']
metricalarm['state_value'] = before_alarm['state_value']
else:
history_type = "Create"
alarm_key = uuid.uuid4()
metricalarm['state_updated_timestamp'] = utils.utcnow()
metricalarm['state_reason'] = "Unchecked: Initial alarm creation"
metricalarm['state_reason_data'] = json.dumps({})
metricalarm['state_value'] = "INSUFFICIENT_DATA"
# insert alarm into database
self.cass.put_metric_alarm(alarm_key, metricalarm)
LOG.debug("metric alarm inserted alarm key: %s" % (alarm_key))
# to make json, convert datetime type into str
metricalarm['state_updated_timestamp'] = utils.strtime(
metricalarm['state_updated_timestamp']
)
metricalarm['alarm_configuration_updated_timestamp'] = utils.strtime(
metricalarm['alarm_configuration_updated_timestamp']
)
metricalarm['metric_key'] = str(metric_key)
if history_type == "Update":
history_data = json.dumps({
'updatedAlarm':metricalarm_for_json(metricalarm),
'type':history_type,
'version': '1.0'
})
summary = "Alarm %s updated" % metricalarm['alarm_name']
else:
history_data = json.dumps({
'createdAlarm': metricalarm_for_json(metricalarm),
'type':history_type, 'version': '1.0'
})
summary = "Alarm %s created" % metricalarm['alarm_name']
history_key = uuid.uuid4()
history_column = {
'project_id': project_id,
'alarm_key': alarm_key,
'alarm_name': metricalarm['alarm_name'],
'history_data': history_data,
'history_item_type': 'ConfigurationUpdate',
'history_summary':summary,
'timestamp': utils.utcnow()
}
self.cass.insert_alarm_history(history_key, history_column)
message = {'project_id': project_id, 'metric_key': str(metric_key),
'metricalarm': metricalarm}
self.rpc.send_msg(rpc.PUT_METRIC_ALARM_MSG_ID, message)
LOG.info("PUT_METRIC_ALARM_MSG sent")
return {}
def put_metric_alarm(self, context, project_id, metricalarm):
"""
Send put metric alarm message to Storm
"""
def _validate_actions(alarm):
for actions in (alarm.ok_actions, alarm.insufficient_data_actions,
alarm.alarm_actions):
for action in actions:
if utils.validate_groupnotification_action(action):
group = utils.parse_groupnotification_action(action)
if not self.cass.get_notification_group(group):
raise InvalidNotificationGroup()
now = utils.utcnow()
_validate_actions(metricalarm)
metricalarm = metricalarm.to_columns()
alarm_name = metricalarm['alarm_name']
namespace = metricalarm['namespace']
metric_name = metricalarm['metric_name']
dimensions = json.loads(metricalarm['dimensions'])
# check if we have metric in database
metric_key = self.cass.get_metric_key_or_create(
project_id=project_id,
namespace=namespace,
metric_name=metric_name,
dimensions=dimensions,
unit=metricalarm['unit'])
update_data = {
'project_id': project_id,
'metric_key': str(metric_key),
'alarm_arn':
"arn:spcs:synaps:%s:alarm:%s" % (project_id, alarm_name),
'alarm_configuration_updated_timestamp': utils.strtime(now)
}
metricalarm.update(update_data)
# check if metric is changed
alarm_key = self.cass.get_metric_alarm_key(project_id=project_id,
alarm_name=alarm_name)
if alarm_key:
original_alarm = self.cass.get_metric_alarm(alarm_key)
if (str(original_alarm['metric_key']) != str(
metricalarm['metric_key'])):
raise InvalidRequest("Metric cannot be changed. "
"Delete alarm and retry.")
else:
# If alarm is newly added, check quotas
# check alarm quota per project
project_quota = FLAGS.get('alarm_quota_per_project')
alarms_in_project = self.cass.get_alarm_count(project_id)
if alarms_in_project >= project_quota:
LOG.info("Too many alarms(%d) in the project %s",
alarms_in_project, project_id)
raise ProjectAlarmQuotaExceeded()
# check alarm quota per metric
metric_quota = FLAGS.get('alarm_quota_per_metric')
alarms_per_metric = self.cass.get_alarms_per_metric_count(
project_id, namespace, metric_name, dimensions)
if alarms_per_metric >= metric_quota:
LOG.info("Too many alarms(%d) for this metric",
alarms_per_metric)
raise MetricAlarmQuotaExceeded()
message = {
'project_id': project_id,
'metric_key': str(metric_key),
'metricalarm': metricalarm,
'context': context.to_dict()
}
self.rpc.send_msg(rpc.PUT_METRIC_ALARM_MSG_ID, message)
LOG.info("PUT_METRIC_ALARM_MSG sent")
return {}
def _check_alarm(self, alarmkey, alarm, query_time=None):
period = int(alarm['period'] / 60)
evaluation_periods = alarm['evaluation_periods']
statistic = alarm['statistic']
threshold = alarm['threshold']
alarm_name = alarm['alarm_name']
cmp_op = self.CMP_MAP[alarm['comparison_operator']]
unit = alarm['unit']
state_value = alarm['state_value']
query_time = query_time if query_time else utils.utcnow()
for i in range(self.insufficient_buffer):
end_idx = (query_time.replace(second=0, microsecond=0) -
(i + 1) * datetools.Minute())
try:
end_datapoint = self.df[statistic].ix[end_idx]
except KeyError:
end_datapoint = None
if not isnull(end_datapoint):
break
start_idx = (end_idx - (period * evaluation_periods) *
datetools.Minute())
start_ana_idx = start_idx - datetools.Minute() * period
func = self.ROLLING_FUNC_MAP[statistic]
data = func(self.df[statistic].ix[start_ana_idx:end_idx], period,
min_periods=0).ix[start_idx:end_idx:period][1:]
recent_datapoints = list(data)
if unit and statistic is not 'SampleCount':
data = data / utils.UNIT_CONV_MAP[unit]
threshold = threshold / utils.UNIT_CONV_MAP[unit]
data = data.dropna()
query_date = utils.strtime(query_time)
reason_data = {
"period":alarm['period'],
"queryDate":query_date,
"recentDatapoints": recent_datapoints,
"startDate": utils.strtime(start_idx),
"statistic":statistic,
"threshold": threshold,
"version":"1.0",
}
old_state = {'stateReason':alarm.get('reason', ""),
'stateValue':alarm.get('state_value',
"INSUFFICIENT_DATA"),
'stateReasonData':
json.loads(alarm.get('reason_data', "{}"))}
json_reason_data = json.dumps(reason_data)
if len(data) == 0:
if state_value != 'INSUFFICIENT_DATA':
template = _("Insufficient Data: %d datapoints were unknown.")
reason = template % (evaluation_periods - len(data))
new_state = {'stateReason':reason,
'stateReasonData':reason_data,
'stateValue':'INSUFFICIENT_DATA'}
self.update_alarm_state(alarmkey, 'INSUFFICIENT_DATA', reason,
json_reason_data, query_time)
self.cass.update_alarm_state(alarmkey, 'INSUFFICIENT_DATA',
reason, json_reason_data,
query_time)
self.alarm_history_state_update(alarmkey, alarm,
new_state, old_state)
self.do_alarm_action(alarmkey, alarm, new_state, old_state,
query_date)
LOG.audit("Alarm %s status changed to INSUFFICIENT_DATA",
alarm_name)
else:
sufficient = len(data) >= evaluation_periods
crossed = (sufficient and
reduce(operator.and_, cmp_op(data, threshold)))
com_op = alarm['comparison_operator']
if crossed:
template = _("Threshold Crossed: %d datapoints were %s " +
"the threshold(%f). " +
"The most recent datapoints: %s.")
reason = template % (evaluation_periods,
self.CMP_STR_MAP[com_op], threshold,
recent_datapoints)
if state_value != 'ALARM':
new_state = {'stateReason':reason,
'stateReasonData':reason_data,
'stateValue':'ALARM'}
self.update_alarm_state(alarmkey, 'ALARM', reason,
json_reason_data, query_time)
self.cass.update_alarm_state(alarmkey, 'ALARM', reason,
json_reason_data, query_time)
self.alarm_history_state_update(alarmkey, alarm,
new_state, old_state)
self.do_alarm_action(alarmkey, alarm, new_state, old_state,
query_date)
LOG.audit("Alarm %s status changed to ALARM", alarm_name)
else:
template = _("Threshold Crossed: %d datapoints were not %s " +
"the threshold(%f). " +
"The most recent datapoints: %s.")
reason = template % (evaluation_periods,
self.CMP_STR_MAP[com_op], threshold,
recent_datapoints)
if state_value != 'OK':
new_state = {'stateReason':reason,
'stateReasonData':reason_data,
'stateValue':'OK'}
self.update_alarm_state(alarmkey, 'OK', reason,
json_reason_data, query_time)
self.cass.update_alarm_state(alarmkey, 'OK', reason,
json_reason_data, query_time)
self.alarm_history_state_update(alarmkey, alarm,
new_state, old_state)
self.do_alarm_action(alarmkey, alarm, new_state, old_state,
query_date)
LOG.audit("Alarm %s status changed to OK", alarm_name)
def process_put_metric_alarm_msg(self, metric_key, message):
def get_alarm_key(project_id, alarm_name):
key = self.cass.get_metric_alarm_key(project_id, alarm_name)
return key
def metricalarm_for_json(metricalarm):
cut = metricalarm.get('alarm_configuration_updated_timestamp')
alarm_for_json = {
'actionEnabled':
metricalarm.get('actions_enabled', False),
'alarmActions':
metricalarm.get('alarm_actions', []),
'alarmArn':
metricalarm.get('alarm_arn'),
'alarmConfigurationUpdatedTimestamp':
utils.strtime(cut),
'alarmDescription':
metricalarm.get('alarm_description'),
'alarmName':
metricalarm.get('alarm_name'),
'comparisonOperator':
metricalarm.get('comparison_operator'),
'dimensions':
metricalarm.get('dimensions'),
'evaluationPeriods':
metricalarm.get('evaluation_periods'),
'insufficientDataActions':
metricalarm.get('insufficient_data_actions', []),
'metricName':
metricalarm.get('metric_name'),
'namespace':
metricalarm.get('namespace'),
'okactions':
metricalarm.get('ok_actions', []),
'statistic':
metricalarm.get('statistic'),
'threshold':
metricalarm.get('threshold'),
'unit':
metricalarm.get('unit'),
}
return alarm_for_json
if metric_key not in self.metrics:
self.metrics[metric_key] = MetricMonitor(metric_key, self.cass)
project_id = message['project_id']
metricalarm = message['metricalarm']
# build metricalarm column, alarmhistory column
alarm_key = get_alarm_key(project_id, metricalarm['alarm_name'])
history_type = 'Update' if alarm_key else 'Create'
now = utils.utcnow()
if history_type == 'Update':
original_alarm = self.cass.get_metric_alarm(alarm_key)
for dict_key in [
'state_updated_timestamp', 'state_reason',
'state_reason_data', 'state_value', 'project_id'
]:
metricalarm[dict_key] = original_alarm[dict_key]
metricalarm['alarm_configuration_updated_timestamp'] = now
history_data = json.dumps({
'updatedAlarm':
metricalarm_for_json(metricalarm),
'type':
history_type,
'version':
'1.0'
})
summary = "Alarm %s updated" % metricalarm['alarm_name']
else:
alarm_key = uuid.uuid4()
state_reason = "Unchecked: Initial alarm creation"
metricalarm.update({
'state_updated_timestamp': now,
'alarm_configuration_updated_timestamp': now,
'state_reason': state_reason,
'state_reason_data': json.dumps({}),
'state_value': "INSUFFICIENT_DATA",
'project_id': project_id
})
history_data = json.dumps({
'createdAlarm':
metricalarm_for_json(metricalarm),
'type':
history_type,
'version':
'1.0'
})
summary = "Alarm %s created" % metricalarm['alarm_name']
metricalarm['metric_key'] = metric_key
history_key = uuid.uuid4()
history_column = {
'project_id': project_id,
'alarm_key': alarm_key,
'alarm_name': metricalarm['alarm_name'],
'history_data': history_data,
'history_item_type': 'ConfigurationUpdate',
'history_summary': summary,
'timestamp': utils.utcnow()
}
self.cass.put_metric_alarm(alarm_key, metricalarm)
self.cass.insert_alarm_history(history_key, history_column)
LOG.info("metric alarm inserted: %s %s", alarm_key, metricalarm)
# load metric in memory
self.metrics[metric_key].put_alarm(alarm_key, metricalarm)
def _check_alarm(self, alarmkey, alarm):
period = int(alarm["period"] / 60)
evaluation_periods = alarm["evaluation_periods"]
statistic = alarm["statistic"]
threshold = alarm["threshold"]
cmp_op = self.CMP_MAP[alarm["comparison_operator"]]
unit = alarm["unit"]
state_value = alarm["state_value"]
now = utils.utcnow()
end_idx = now.replace(second=0, microsecond=0) - datetools.Minute()
start_idx = end_idx - (evaluation_periods - 1) * datetools.Minute()
start_ana_idx = start_idx - datetools.Minute() * period
func = self.ROLLING_FUNC_MAP[statistic]
data = func(self.df[statistic].ix[start_ana_idx:end_idx], period, min_periods=0).ix[start_idx:end_idx]
if statistic == "SampleCount":
data = data.fillna(0)
else:
if unit:
data = data / utils.UNIT_CONV_MAP[unit]
threshold = threshold / utils.UNIT_CONV_MAP[unit]
data = data.dropna()
query_date = utils.strtime(now)
reason_data = {
"period": alarm["period"],
"queryDate": query_date,
"recentDatapoints": list(data),
"startDate": utils.strtime(start_idx),
"statistic": statistic,
"threshold": threshold,
"version": "1.0",
}
old_state = {
"stateReason": alarm.get("reason", ""),
"stateValue": alarm.get("state_value", "INSUFFICIENT_DATA"),
"stateReasonData": json.loads(alarm.get("reason_data", "{}")),
}
json_reason_data = json.dumps(reason_data)
if len(data) < evaluation_periods:
if state_value != "INSUFFICIENT_DATA":
template = _("Insufficient Data: %d datapoints were unknown.")
reason = template % (evaluation_periods - len(data))
new_state = {"stateReason": reason, "stateReasonData": reason_data, "stateValue": "INSUFFICIENT_DATA"}
self.update_alarm_state(alarmkey, "INSUFFICIENT_DATA", reason, json_reason_data, now)
self.cass.update_alarm_state(alarmkey, "INSUFFICIENT_DATA", reason, json_reason_data, now)
self.alarm_history_state_update(alarmkey, alarm, new_state, old_state)
self.do_alarm_action(alarmkey, alarm, new_state, old_state, query_date)
storm.log("INSUFFICIENT_DATA alarm")
else:
crossed = reduce(operator.and_, cmp_op(data, threshold))
com_op = alarm["comparison_operator"]
if crossed:
template = _(
"Threshold Crossed: %d datapoints were %s "
+ "the threshold(%f). "
+ "The most recent datapoints: %s."
)
reason = template % (len(data), self.CMP_STR_MAP[com_op], threshold, str(list(data)))
if state_value != "ALARM":
new_state = {"stateReason": reason, "stateReasonData": reason_data, "stateValue": "ALARM"}
self.update_alarm_state(alarmkey, "ALARM", reason, json_reason_data, now)
self.cass.update_alarm_state(alarmkey, "ALARM", reason, json_reason_data, now)
self.alarm_history_state_update(alarmkey, alarm, new_state, old_state)
self.do_alarm_action(alarmkey, alarm, new_state, old_state, query_date)
storm.log("ALARM alarm")
else:
template = _(
"Threshold Crossed: %d datapoints were not %s "
+ "the threshold(%f). "
+ "The most recent datapoints: %s."
)
reason = template % (len(data), self.CMP_STR_MAP[com_op], threshold, str(list(data)))
if state_value != "OK":
new_state = {"stateReason": reason, "stateReasonData": reason_data, "stateValue": "OK"}
self.update_alarm_state(alarmkey, "OK", reason, json_reason_data, now)
self.cass.update_alarm_state(alarmkey, "OK", reason, json_reason_data, now)
self.alarm_history_state_update(alarmkey, alarm, new_state, old_state)
self.do_alarm_action(alarmkey, alarm, new_state, old_state, query_date)
storm.log("OK alarm")
def _check_alarm(self, alarmkey, alarm, query_time=None):
period = int(alarm['period'] / 60)
evaluation_periods = alarm['evaluation_periods']
statistic = alarm['statistic']
threshold = alarm['threshold']
alarm_name = alarm['alarm_name']
cmp_op = self.CMP_MAP[alarm['comparison_operator']]
unit = alarm['unit']
state_value = alarm['state_value']
query_time = query_time if query_time else utils.utcnow()
for i in range(self.insufficient_buffer):
end_idx = (query_time.replace(second=0, microsecond=0) -
(i + 1) * datetools.Minute())
try:
end_datapoint = self.df[statistic].ix[end_idx]
except KeyError:
end_datapoint = None
if not isnull(end_datapoint):
break
start_idx = (end_idx -
(period * evaluation_periods) * datetools.Minute())
start_ana_idx = start_idx - datetools.Minute() * period
func = self.ROLLING_FUNC_MAP[statistic]
data = func(self.df[statistic].ix[start_ana_idx:end_idx],
period,
min_periods=0).ix[start_idx:end_idx:period][1:]
recent_datapoints = list(data)
if unit and statistic is not 'SampleCount':
data = data / utils.UNIT_CONV_MAP[unit]
threshold = threshold / utils.UNIT_CONV_MAP[unit]
data = data.dropna()
query_date = utils.strtime(query_time)
reason_data = {
"period": alarm['period'],
"queryDate": query_date,
"recentDatapoints": recent_datapoints,
"startDate": utils.strtime(start_idx),
"statistic": statistic,
"threshold": threshold,
"version": "1.0",
}
old_state = {
'stateReason': alarm.get('reason', ""),
'stateValue': alarm.get('state_value', "INSUFFICIENT_DATA"),
'stateReasonData': json.loads(alarm.get('reason_data', "{}"))
}
json_reason_data = json.dumps(reason_data)
if len(data) == 0:
if state_value != 'INSUFFICIENT_DATA':
template = _("Insufficient Data: %d datapoints were unknown.")
reason = template % (evaluation_periods - len(data))
new_state = {
'stateReason': reason,
'stateReasonData': reason_data,
'stateValue': 'INSUFFICIENT_DATA'
}
self.update_alarm_state(alarmkey, 'INSUFFICIENT_DATA', reason,
json_reason_data, query_time)
self.cass.update_alarm_state(alarmkey, 'INSUFFICIENT_DATA',
reason, json_reason_data,
query_time)
self.alarm_history_state_update(alarmkey, alarm, new_state,
old_state)
self.do_alarm_action(alarmkey, alarm, new_state, old_state,
query_date)
LOG.audit("Alarm %s status changed to INSUFFICIENT_DATA",
alarm_name)
else:
sufficient = len(data) >= evaluation_periods
crossed = (sufficient
and reduce(operator.and_, cmp_op(data, threshold)))
com_op = alarm['comparison_operator']
if crossed:
template = _("Threshold Crossed: %d datapoints were %s " +
"the threshold(%f). " +
"The most recent datapoints: %s.")
reason = template % (evaluation_periods,
self.CMP_STR_MAP[com_op], threshold,
recent_datapoints)
if state_value != 'ALARM':
new_state = {
'stateReason': reason,
'stateReasonData': reason_data,
'stateValue': 'ALARM'
}
self.update_alarm_state(alarmkey, 'ALARM', reason,
json_reason_data, query_time)
self.cass.update_alarm_state(alarmkey, 'ALARM', reason,
json_reason_data, query_time)
self.alarm_history_state_update(alarmkey, alarm, new_state,
old_state)
self.do_alarm_action(alarmkey, alarm, new_state, old_state,
query_date)
LOG.audit("Alarm %s status changed to ALARM", alarm_name)
else:
template = _("Threshold Crossed: %d datapoints were not %s " +
"the threshold(%f). " +
"The most recent datapoints: %s.")
reason = template % (evaluation_periods,
self.CMP_STR_MAP[com_op], threshold,
recent_datapoints)
if state_value != 'OK':
new_state = {
'stateReason': reason,
'stateReasonData': reason_data,
'stateValue': 'OK'
}
self.update_alarm_state(alarmkey, 'OK', reason,
json_reason_data, query_time)
self.cass.update_alarm_state(alarmkey, 'OK', reason,
json_reason_data, query_time)
self.alarm_history_state_update(alarmkey, alarm, new_state,
old_state)
self.do_alarm_action(alarmkey, alarm, new_state, old_state,
query_date)
LOG.audit("Alarm %s status changed to OK", alarm_name)
def __call__(self, req):
start = utils.utcnow()
rv = req.get_response(self.application)
self.log_request_completion(rv, req, start)
return rv
def __call__(self, req):
start = utils.utcnow()
rv = req.get_response(self.application)
self.log_request_completion(rv, req, start)
return rv
def put_metric_data(self, metric_key, timestamp, value, unit=None):
def get_stats(tmp_stat):
try:
ret = dict(zip(self.cass.STATISTICS,
map(lambda x: x.values()[0], tmp_stat)))
for v in ret:
if v == None: v = float('nan')
except IndexError:
storm.log("index %s is not in DB." % time_idx)
ret = {'SampleCount' : float('nan'),
'Sum' : float('nan'),
'Average' : float('nan'),
'Minimum' : float('nan'),
'Maximum' : float('nan') }
return ret
time_idx = timestamp.replace(second=0, microsecond=0)
if timedelta(seconds=self.cass.STATISTICS_TTL) < (utils.utcnow() -
time_idx):
msg = "index %s is older than TTL. It doesn't need to insert DB"
storm.log(msg % time_idx)
return
if time_idx not in self.df.index:
self._reindex()
value = utils.to_default_unit(value, unit)
try:
stat = self.df.ix[time_idx]
for v in stat:
if v == None: v = float('nan')
except KeyError:
stat = self.cass.get_metric_statistics_for_key(metric_key, time_idx)
stat = get_stats(stat)
stat['SampleCount'] = 1.0 if isnan(stat['SampleCount']) \
else stat['SampleCount'] + 1.0
stat['Sum'] = value if isnan(stat['Sum']) \
else stat['Sum'] + value
stat['Average'] = stat['Sum'] / stat['SampleCount']
stat['Minimum'] = value \
if isnan(stat['Minimum']) or stat['Minimum'] > value \
else stat['Minimum']
stat['Maximum'] = value \
if isnan(stat['Maximum']) or stat['Maximum'] < value \
else stat['Maximum']
# insert into DB
stat_dict = {
'SampleCount':{time_idx: stat['SampleCount']},
'Sum':{time_idx: stat['Sum']},
'Average':{time_idx: stat['Average']},
'Minimum':{time_idx: stat['Minimum']},
'Maximum':{time_idx: stat['Maximum']}
}
self.cass.insert_stat(self.metric_key, stat_dict)
storm.log("metric data inserted %s" % (self.metric_key))
#self.df.ix[time_idx] = stat
now = utils.utcnow().replace(second=0, microsecond=0)
timedelta_buf = now - time_idx
if(timedelta_buf <= timedelta(seconds=self.MAX_START_PERIOD)):
# check alarms
self.check_alarms()
def put_metric_data(self, metric_key, timestamp, value, unit=None):
def get_stats(tmp_stat):
try:
ret = dict(zip(self.cass.STATISTICS,
map(lambda x: x.values()[0], tmp_stat)))
for v in ret:
if v == None: v = float('nan')
except IndexError:
LOG.debug("index %s is not in DB.", time_idx)
ret = {'SampleCount' : float('nan'),
'Sum' : float('nan'),
'Average' : float('nan'),
'Minimum' : float('nan'),
'Maximum' : float('nan') }
return ret
time_idx = timestamp.replace(second=0, microsecond=0)
time_diff = utils.utcnow() - time_idx
if timedelta(seconds=self.cass.statistics_ttl) < time_diff:
msg = "index %s is older than TTL. It doesn't need to insert DB"
LOG.debug(msg, time_idx)
return
if time_idx not in self.df.index:
self._reindex()
if value == None:
LOG.info("metric inputted without value")
return
else:
value = utils.to_default_unit(value, unit)
try:
stat = self.df.ix[time_idx]
for v in stat:
if v == None: v = float('nan')
except KeyError:
stat = self.cass.get_metric_statistics_for_key(metric_key,
time_idx)
stat = get_stats(stat)
stat['SampleCount'] = 1.0 if isnull(stat['SampleCount']) \
else stat['SampleCount'] + 1.0
stat['Sum'] = value if isnull(stat['Sum']) \
else stat['Sum'] + value
stat['Average'] = stat['Sum'] / stat['SampleCount']
stat['Minimum'] = value \
if (isnull(stat['Minimum']) or
stat['Minimum'] > value) \
else stat['Minimum']
stat['Maximum'] = value \
if (isnull(stat['Maximum']) or
stat['Maximum'] < value) \
else stat['Maximum']
# insert into DB
stat_dict = {
'SampleCount':{time_idx: stat['SampleCount']},
'Sum':{time_idx: stat['Sum']},
'Average':{time_idx: stat['Average']},
'Minimum':{time_idx: stat['Minimum']},
'Maximum':{time_idx: stat['Maximum']}
}
ttl = self.cass.statistics_ttl - time_diff.total_seconds()
self.updated_timestamp = utils.utcnow()
if ttl > 0.1:
self.cass.insert_stat(self.metric_key, stat_dict, ttl)
else:
LOG.debug("ttl must be positive, ttl %s", ttl)
self.cass.update_metric(self.metric_key, {'updated_timestamp':
self.updated_timestamp})
LOG.info("metric data inserted %s, time_idx %s", str(self), time_idx)
def put_metric_data(self, metric_key, timestamp, value, unit=None):
def get_stats(tmp_stat):
try:
ret = dict(
zip(self.cass.STATISTICS,
map(lambda x: x.values()[0], tmp_stat)))
for v in ret:
if v == None: v = float('nan')
except IndexError:
LOG.debug("index %s is not in DB.", time_idx)
ret = {
'SampleCount': float('nan'),
'Sum': float('nan'),
'Average': float('nan'),
'Minimum': float('nan'),
'Maximum': float('nan')
}
return ret
time_idx = timestamp.replace(second=0, microsecond=0)
time_diff = utils.utcnow() - time_idx
if timedelta(seconds=self.cass.statistics_ttl) < time_diff:
msg = "index %s is older than TTL. It doesn't need to insert DB"
LOG.debug(msg, time_idx)
return
if time_idx not in self.df.index:
self._reindex()
if value == None:
LOG.info("metric inputted without value")
return
else:
value = utils.to_default_unit(value, unit)
try:
stat = self.df.ix[time_idx]
for v in stat:
if v == None: v = float('nan')
except KeyError:
stat = self.cass.get_metric_statistics_for_key(
metric_key, time_idx)
stat = get_stats(stat)
stat['SampleCount'] = 1.0 if isnull(stat['SampleCount']) \
else stat['SampleCount'] + 1.0
stat['Sum'] = value if isnull(stat['Sum']) \
else stat['Sum'] + value
stat['Average'] = stat['Sum'] / stat['SampleCount']
stat['Minimum'] = value \
if (isnull(stat['Minimum']) or
stat['Minimum'] > value) \
else stat['Minimum']
stat['Maximum'] = value \
if (isnull(stat['Maximum']) or
stat['Maximum'] < value) \
else stat['Maximum']
# insert into DB
stat_dict = {
'SampleCount': {
time_idx: stat['SampleCount']
},
'Sum': {
time_idx: stat['Sum']
},
'Average': {
time_idx: stat['Average']
},
'Minimum': {
time_idx: stat['Minimum']
},
'Maximum': {
time_idx: stat['Maximum']
}
}
ttl = self.cass.statistics_ttl - time_diff.total_seconds()
self.updated_timestamp = utils.utcnow()
if ttl > 0.1:
self.cass.insert_stat(self.metric_key, stat_dict, ttl)
else:
LOG.debug("ttl must be positive, ttl %s", ttl)
self.cass.update_metric(self.metric_key,
{'updated_timestamp': self.updated_timestamp})
LOG.info("metric data inserted %s, time_idx %s", str(self), time_idx)
def put_metric_alarm(self, context, project_id, metricalarm):
"""
Send put metric alarm message to Storm
"""
def _validate_actions(alarm):
for actions in (alarm.ok_actions, alarm.insufficient_data_actions,
alarm.alarm_actions):
for action in actions:
if utils.validate_groupnotification_action(action):
group = utils.parse_groupnotification_action(action)
if not self.cass.get_notification_group(group):
raise InvalidNotificationGroup()
now = utils.utcnow()
_validate_actions(metricalarm)
metricalarm = metricalarm.to_columns()
alarm_name = metricalarm['alarm_name']
namespace = metricalarm['namespace']
metric_name = metricalarm['metric_name']
dimensions = json.loads(metricalarm['dimensions'])
# check if we have metric in database
metric_key = self.cass.get_metric_key_or_create(project_id=project_id,
namespace=namespace, metric_name=metric_name,
dimensions=dimensions, unit=metricalarm['unit'])
update_data = {
'project_id': project_id,
'metric_key': str(metric_key),
'alarm_arn': "arn:spcs:synaps:%s:alarm:%s" % (project_id,
alarm_name),
'alarm_configuration_updated_timestamp': utils.strtime(now)
}
metricalarm.update(update_data)
# check if metric is changed
alarm_key = self.cass.get_metric_alarm_key(project_id=project_id,
alarm_name=alarm_name)
if alarm_key:
original_alarm = self.cass.get_metric_alarm(alarm_key)
if (str(original_alarm['metric_key']) !=
str(metricalarm['metric_key'])):
raise InvalidRequest("Metric cannot be changed. "
"Delete alarm and retry.")
else:
# If alarm is newly added, check quotas
# check alarm quota per project
project_quota = FLAGS.get('alarm_quota_per_project')
alarms_in_project = self.cass.get_alarm_count(project_id)
if alarms_in_project >= project_quota:
LOG.info("Too many alarms(%d) in the project %s",
alarms_in_project, project_id)
raise ProjectAlarmQuotaExceeded()
# check alarm quota per metric
metric_quota = FLAGS.get('alarm_quota_per_metric')
alarms_per_metric = self.cass.get_alarms_per_metric_count(
project_id, namespace, metric_name, dimensions)
if alarms_per_metric >= metric_quota:
LOG.info("Too many alarms(%d) for this metric",
alarms_per_metric)
raise MetricAlarmQuotaExceeded()
message = {'project_id': project_id, 'metric_key': str(metric_key),
'metricalarm': metricalarm, 'context': context.to_dict()}
self.rpc.send_msg(rpc.PUT_METRIC_ALARM_MSG_ID, message)
LOG.info("PUT_METRIC_ALARM_MSG sent")
return {}
