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# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import datetime
from heat.common import exception
from heat.openstack.common import log as logging
from heat.openstack.common import timeutils
from heat.engine import timestamp
from heat.db import api as db_api
from heat.engine import parser
from heat.rpc import api as rpc_api
logger = logging.getLogger(__name__)
class WatchRule(object):
WATCH_STATES = (
ALARM,
NORMAL,
NODATA
) = (
rpc_api.WATCH_STATE_ALARM,
rpc_api.WATCH_STATE_OK,
rpc_api.WATCH_STATE_NODATA
)
ACTION_MAP = {ALARM: 'AlarmActions',
NORMAL: 'OKActions',
NODATA: 'InsufficientDataActions'}
created_at = timestamp.Timestamp(db_api.watch_rule_get, 'created_at')
updated_at = timestamp.Timestamp(db_api.watch_rule_get, 'updated_at')
def __init__(self, context, watch_name, rule, stack_id=None,
state=NORMAL, wid=None, watch_data=[],
last_evaluated=timeutils.utcnow()):
self.context = context
self.now = timeutils.utcnow()
self.name = watch_name
self.state = state
self.rule = rule
self.stack_id = stack_id
self.timeperiod = datetime.timedelta(seconds=int(rule['Period']))
self.id = wid
self.watch_data = watch_data
self.last_evaluated = last_evaluated
@classmethod
def load(cls, context, watch_name=None, watch=None):
'''
Load the watchrule object, either by name or via an existing DB object
'''
if watch is None:
try:
watch = db_api.watch_rule_get_by_name(context, watch_name)
except Exception as ex:
logger.warn('WatchRule.load (%s) db error %s' %
(watch_name, str(ex)))
if watch is None:
raise exception.WatchRuleNotFound(watch_name=watch_name)
else:
return cls(context=context,
watch_name=watch.name,
rule=watch.rule,
stack_id=watch.stack_id,
state=watch.state,
wid=watch.id,
watch_data=watch.watch_data,
last_evaluated=watch.last_evaluated)
def store(self):
'''
Store the watchrule in the database and return its ID
If self.id is set, we update the existing rule
'''
wr_values = {
'name': self.name,
'rule': self.rule,
'state': self.state,
'stack_id': self.stack_id
}
if not self.id:
wr = db_api.watch_rule_create(self.context, wr_values)
self.id = wr.id
else:
db_api.watch_rule_update(self.context, self.id, wr_values)
def do_data_cmp(self, data, threshold):
op = self.rule['ComparisonOperator']
if op == 'GreaterThanThreshold':
return data > threshold
elif op == 'GreaterThanOrEqualToThreshold':
return data >= threshold
elif op == 'LessThanThreshold':
return data < threshold
elif op == 'LessThanOrEqualToThreshold':
return data <= threshold
else:
return False
def do_Maximum(self):
data = 0
have_data = False
for d in self.watch_data:
if d.created_at < self.now - self.timeperiod:
continue
if not have_data:
data = float(d.data[self.rule['MetricName']]['Value'])
have_data = True
if float(d.data[self.rule['MetricName']]['Value']) > data:
data = float(d.data[self.rule['MetricName']]['Value'])
if not have_data:
return self.NODATA
if self.do_data_cmp(data,
float(self.rule['Threshold'])):
return self.ALARM
else:
return self.NORMAL
def do_Minimum(self):
data = 0
have_data = False
for d in self.watch_data:
if d.created_at < self.now - self.timeperiod:
continue
if not have_data:
data = float(d.data[self.rule['MetricName']]['Value'])
have_data = True
elif float(d.data[self.rule['MetricName']]['Value']) < data:
data = float(d.data[self.rule['MetricName']]['Value'])
if not have_data:
return self.NODATA
if self.do_data_cmp(data,
float(self.rule['Threshold'])):
return self.ALARM
else:
return self.NORMAL
def do_SampleCount(self):
'''
count all samples within the specified period
'''
data = 0
for d in self.watch_data:
if d.created_at < self.now - self.timeperiod:
continue
data = data + 1
if self.do_data_cmp(data,
float(self.rule['Threshold'])):
return self.ALARM
else:
return self.NORMAL
def do_Average(self):
data = 0
samples = 0
for d in self.watch_data:
if d.created_at < self.now - self.timeperiod:
continue
samples = samples + 1
data = data + float(d.data[self.rule['MetricName']]['Value'])
if samples == 0:
return self.NODATA
data = data / samples
if self.do_data_cmp(data,
float(self.rule['Threshold'])):
return self.ALARM
else:
return self.NORMAL
def do_Sum(self):
data = 0
for d in self.watch_data:
if d.created_at < self.now - self.timeperiod:
logger.debug('ignoring %s' % str(d.data))
continue
data = data + float(d.data[self.rule['MetricName']]['Value'])
if self.do_data_cmp(data,
float(self.rule['Threshold'])):
return self.ALARM
else:
return self.NORMAL
def get_alarm_state(self):
fn = getattr(self, 'do_%s' % self.rule['Statistic'])
return fn()
def evaluate(self):
# has enough time progressed to run the rule
self.now = timeutils.utcnow()
if self.now < (self.last_evaluated + self.timeperiod):
return []
return self.run_rule()
def run_rule(self):
new_state = self.get_alarm_state()
actions = []
if new_state != self.state:
actions = self.rule_actions(new_state)
self.state = new_state
self.last_evaluated = self.now
self.store()
return actions
def rule_actions(self, new_state):
logger.warn('WATCH: stack:%s, watch_name:%s %s',
self.stack_id, self.name, new_state)
actions = []
if not self.ACTION_MAP[new_state] in self.rule:
logger.info('no action for new state %s',
new_state)
else:
s = db_api.stack_get(self.context, self.stack_id)
if s and s.status in (parser.Stack.CREATE_COMPLETE,
parser.Stack.UPDATE_COMPLETE):
stack = parser.Stack.load(self.context, stack=s)
for a in self.rule[self.ACTION_MAP[new_state]]:
actions.append(stack[a].alarm)
else:
logger.warning("Could not process watch state %s for stack" %
new_state)
return actions
def create_watch_data(self, data):
if not self.rule['MetricName'] in data:
logger.warn('new data has incorrect metric:%s' %
(self.rule['MetricName']))
raise ValueError('MetricName %s missing' %
self.rule['MetricName'])
watch_data = {
'data': data,
'watch_rule_id': self.id
}
wd = db_api.watch_data_create(None, watch_data)
logger.debug('new watch:%s data:%s' % (self.name, str(wd.data)))
def set_watch_state(self, state):
'''
Temporarily set the watch state, returns list of functions to be
scheduled in the stack ThreadGroup for the specified state
'''
if state not in self.WATCH_STATES:
raise ValueError('Unknown watch state %s' % state)
actions = []
if state != self.state:
actions = self.rule_actions(state)
if actions:
logger.debug("Overriding state %s for watch %s with %s" %
(self.state, self.name, state))
else:
logger.warning("Unable to override state %s for watch %s" %
(self.state, self.name))
return actions
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