mirror of
https://github.com/SickGear/SickGear.git
synced 2024-12-04 18:33:38 +00:00
169 lines
7.3 KiB
Python
169 lines
7.3 KiB
Python
# Copyright (c) 2006-2012 Mitch Garnaat http://garnaat.org/
|
|
# Copyright (c) 2012 Amazon.com, Inc. or its affiliates.
|
|
# All Rights Reserved
|
|
#
|
|
# Permission is hereby granted, free of charge, to any person obtaining a
|
|
# copy of this software and associated documentation files (the
|
|
# "Software"), to deal in the Software without restriction, including
|
|
# without limitation the rights to use, copy, modify, merge, publish, dis-
|
|
# tribute, sublicense, and/or sell copies of the Software, and to permit
|
|
# persons to whom the Software is furnished to do so, subject to the fol-
|
|
# lowing conditions:
|
|
#
|
|
# The above copyright notice and this permission notice shall be included
|
|
# in all copies or substantial portions of the Software.
|
|
#
|
|
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
|
|
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
|
|
# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
|
|
# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
|
|
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
|
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
|
|
# IN THE SOFTWARE.
|
|
#
|
|
|
|
from boto.ec2.cloudwatch.alarm import MetricAlarm
|
|
from boto.ec2.cloudwatch.dimension import Dimension
|
|
|
|
|
|
class Metric(object):
|
|
|
|
Statistics = ['Minimum', 'Maximum', 'Sum', 'Average', 'SampleCount']
|
|
Units = ['Seconds', 'Microseconds', 'Milliseconds', 'Bytes', 'Kilobytes',
|
|
'Megabytes', 'Gigabytes', 'Terabytes', 'Bits', 'Kilobits',
|
|
'Megabits', 'Gigabits', 'Terabits', 'Percent', 'Count',
|
|
'Bytes/Second', 'Kilobytes/Second', 'Megabytes/Second',
|
|
'Gigabytes/Second', 'Terabytes/Second', 'Bits/Second',
|
|
'Kilobits/Second', 'Megabits/Second', 'Gigabits/Second',
|
|
'Terabits/Second', 'Count/Second', None]
|
|
|
|
def __init__(self, connection=None):
|
|
self.connection = connection
|
|
self.name = None
|
|
self.namespace = None
|
|
self.dimensions = None
|
|
|
|
def __repr__(self):
|
|
return 'Metric:%s' % self.name
|
|
|
|
def startElement(self, name, attrs, connection):
|
|
if name == 'Dimensions':
|
|
self.dimensions = Dimension()
|
|
return self.dimensions
|
|
|
|
def endElement(self, name, value, connection):
|
|
if name == 'MetricName':
|
|
self.name = value
|
|
elif name == 'Namespace':
|
|
self.namespace = value
|
|
else:
|
|
setattr(self, name, value)
|
|
|
|
def query(self, start_time, end_time, statistics, unit=None, period=60):
|
|
"""
|
|
:type start_time: datetime
|
|
:param start_time: The time stamp to use for determining the
|
|
first datapoint to return. The value specified is
|
|
inclusive; results include datapoints with the time stamp
|
|
specified.
|
|
|
|
:type end_time: datetime
|
|
:param end_time: The time stamp to use for determining the
|
|
last datapoint to return. The value specified is
|
|
exclusive; results will include datapoints up to the time
|
|
stamp specified.
|
|
|
|
:type statistics: list
|
|
:param statistics: A list of statistics names Valid values:
|
|
Average | Sum | SampleCount | Maximum | Minimum
|
|
|
|
:type unit: string
|
|
:param unit: The unit for the metric. Value values are:
|
|
Seconds | Microseconds | Milliseconds | Bytes | Kilobytes |
|
|
Megabytes | Gigabytes | Terabytes | Bits | Kilobits |
|
|
Megabits | Gigabits | Terabits | Percent | Count |
|
|
Bytes/Second | Kilobytes/Second | Megabytes/Second |
|
|
Gigabytes/Second | Terabytes/Second | Bits/Second |
|
|
Kilobits/Second | Megabits/Second | Gigabits/Second |
|
|
Terabits/Second | Count/Second | None
|
|
|
|
:type period: integer
|
|
:param period: The granularity, in seconds, of the returned datapoints.
|
|
Period must be at least 60 seconds and must be a multiple
|
|
of 60. The default value is 60.
|
|
|
|
"""
|
|
if not isinstance(statistics, list):
|
|
statistics = [statistics]
|
|
return self.connection.get_metric_statistics(period,
|
|
start_time,
|
|
end_time,
|
|
self.name,
|
|
self.namespace,
|
|
statistics,
|
|
self.dimensions,
|
|
unit)
|
|
|
|
def create_alarm(self, name, comparison, threshold,
|
|
period, evaluation_periods,
|
|
statistic, enabled=True, description=None,
|
|
dimensions=None, alarm_actions=None, ok_actions=None,
|
|
insufficient_data_actions=None, unit=None):
|
|
"""
|
|
Creates or updates an alarm and associates it with this metric.
|
|
Optionally, this operation can associate one or more
|
|
Amazon Simple Notification Service resources with the alarm.
|
|
|
|
When this operation creates an alarm, the alarm state is immediately
|
|
set to INSUFFICIENT_DATA. The alarm is evaluated and its StateValue is
|
|
set appropriately. Any actions associated with the StateValue is then
|
|
executed.
|
|
|
|
When updating an existing alarm, its StateValue is left unchanged.
|
|
|
|
:type alarm: boto.ec2.cloudwatch.alarm.MetricAlarm
|
|
:param alarm: MetricAlarm object.
|
|
"""
|
|
if not dimensions:
|
|
dimensions = self.dimensions
|
|
alarm = MetricAlarm(self.connection, name, self.name,
|
|
self.namespace, statistic, comparison,
|
|
threshold, period, evaluation_periods,
|
|
unit, description, dimensions,
|
|
alarm_actions, insufficient_data_actions,
|
|
ok_actions)
|
|
if self.connection.put_metric_alarm(alarm):
|
|
return alarm
|
|
|
|
def describe_alarms(self, period=None, statistic=None,
|
|
dimensions=None, unit=None):
|
|
"""
|
|
Retrieves all alarms for this metric. Specify a statistic, period,
|
|
or unit to filter the set of alarms further.
|
|
|
|
:type period: int
|
|
:param period: The period in seconds over which the statistic
|
|
is applied.
|
|
|
|
:type statistic: string
|
|
:param statistic: The statistic for the metric.
|
|
|
|
:type dimensions: dict
|
|
:param dimension: A dictionary containing name/value
|
|
pairs that will be used to filter the results. The key in
|
|
the dictionary is the name of a Dimension. The value in
|
|
the dictionary is either a scalar value of that Dimension
|
|
name that you want to filter on, a list of values to
|
|
filter on or None if you want all metrics with that
|
|
Dimension name.
|
|
|
|
:type unit: string
|
|
|
|
:rtype list
|
|
"""
|
|
return self.connection.describe_alarms_for_metric(self.name,
|
|
self.namespace,
|
|
period,
|
|
statistic,
|
|
dimensions,
|
|
unit)
|