ansible-later/env_27/lib/python2.7/site-packages/ansible/modules/cloud/amazon/ec2_metric_alarm.py
2019-04-11 13:00:36 +02:00

321 lines
11 KiB
Python

#!/usr/bin/python
# Copyright: Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['stableinterface'],
'supported_by': 'certified'}
DOCUMENTATION = """
module: ec2_metric_alarm
short_description: "Create/update or delete AWS Cloudwatch 'metric alarms'"
description:
- Can create or delete AWS metric alarms.
- Metrics you wish to alarm on must already exist.
version_added: "1.6"
author: "Zacharie Eakin (@zeekin)"
options:
state:
description:
- register or deregister the alarm
required: true
choices: ['present', 'absent']
name:
description:
- Unique name for the alarm
required: true
metric:
description:
- Name of the monitored metric (e.g. CPUUtilization)
- Metric must already exist
required: false
namespace:
description:
- Name of the appropriate namespace ('AWS/EC2', 'System/Linux', etc.), which determines the category it will appear under in cloudwatch
required: false
statistic:
description:
- Operation applied to the metric
- Works in conjunction with period and evaluation_periods to determine the comparison value
required: false
choices: ['SampleCount','Average','Sum','Minimum','Maximum']
comparison:
description:
- Determines how the threshold value is compared
required: false
choices: ['<=','<','>','>=']
threshold:
description:
- Sets the min/max bound for triggering the alarm
required: false
period:
description:
- The time (in seconds) between metric evaluations
required: false
evaluation_periods:
description:
- The number of times in which the metric is evaluated before final calculation
required: false
unit:
description:
- The threshold's unit of measurement
required: false
choices:
- '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'
description:
description:
- A longer description of the alarm
required: false
dimensions:
description:
- Describes to what the alarm is applied
required: false
alarm_actions:
description:
- A list of the names action(s) taken when the alarm is in the 'alarm' status
required: false
insufficient_data_actions:
description:
- A list of the names of action(s) to take when the alarm is in the 'insufficient_data' status
required: false
ok_actions:
description:
- A list of the names of action(s) to take when the alarm is in the 'ok' status
required: false
extends_documentation_fragment:
- aws
- ec2
"""
EXAMPLES = '''
- name: create alarm
ec2_metric_alarm:
state: present
region: ap-southeast-2
name: "cpu-low"
metric: "CPUUtilization"
namespace: "AWS/EC2"
statistic: Average
comparison: "<="
threshold: 5.0
period: 300
evaluation_periods: 3
unit: "Percent"
description: "This will alarm when a bamboo slave's cpu usage average is lower than 5% for 15 minutes "
dimensions: {'InstanceId':'i-XXX'}
alarm_actions: ["action1","action2"]
'''
try:
import boto.ec2.cloudwatch
from boto.ec2.cloudwatch import MetricAlarm
from boto.exception import BotoServerError, NoAuthHandlerFound
except ImportError:
pass # Taken care of by ec2.HAS_BOTO
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.ec2 import (AnsibleAWSError, HAS_BOTO, connect_to_aws, ec2_argument_spec,
get_aws_connection_info)
def create_metric_alarm(connection, module):
name = module.params.get('name')
metric = module.params.get('metric')
namespace = module.params.get('namespace')
statistic = module.params.get('statistic')
comparison = module.params.get('comparison')
threshold = module.params.get('threshold')
period = module.params.get('period')
evaluation_periods = module.params.get('evaluation_periods')
unit = module.params.get('unit')
description = module.params.get('description')
dimensions = module.params.get('dimensions')
alarm_actions = module.params.get('alarm_actions')
insufficient_data_actions = module.params.get('insufficient_data_actions')
ok_actions = module.params.get('ok_actions')
alarms = connection.describe_alarms(alarm_names=[name])
if not alarms:
alm = MetricAlarm(
name=name,
metric=metric,
namespace=namespace,
statistic=statistic,
comparison=comparison,
threshold=threshold,
period=period,
evaluation_periods=evaluation_periods,
unit=unit,
description=description,
dimensions=dimensions,
alarm_actions=alarm_actions,
insufficient_data_actions=insufficient_data_actions,
ok_actions=ok_actions
)
try:
connection.create_alarm(alm)
changed = True
alarms = connection.describe_alarms(alarm_names=[name])
except BotoServerError as e:
module.fail_json(msg=str(e))
else:
alarm = alarms[0]
changed = False
for attr in ('comparison', 'metric', 'namespace', 'statistic', 'threshold', 'period', 'evaluation_periods', 'unit', 'description'):
if getattr(alarm, attr) != module.params.get(attr):
changed = True
setattr(alarm, attr, module.params.get(attr))
# this is to deal with a current bug where you cannot assign '<=>' to the comparator when modifying an existing alarm
comparison = alarm.comparison
comparisons = {'<=': 'LessThanOrEqualToThreshold', '<': 'LessThanThreshold', '>=': 'GreaterThanOrEqualToThreshold', '>': 'GreaterThanThreshold'}
alarm.comparison = comparisons[comparison]
dim1 = module.params.get('dimensions')
dim2 = alarm.dimensions
for keys in dim1:
if not isinstance(dim1[keys], list):
dim1[keys] = [dim1[keys]]
if keys not in dim2 or dim1[keys] != dim2[keys]:
changed = True
setattr(alarm, 'dimensions', dim1)
for attr in ('alarm_actions', 'insufficient_data_actions', 'ok_actions'):
action = module.params.get(attr) or []
# Boto and/or ansible may provide same elements in lists but in different order.
# Compare on sets since they do not need any order.
if set(getattr(alarm, attr)) != set(action):
changed = True
setattr(alarm, attr, module.params.get(attr))
try:
if changed:
connection.create_alarm(alarm)
except BotoServerError as e:
module.fail_json(msg=str(e))
result = alarms[0]
module.exit_json(changed=changed, name=result.name,
actions_enabled=result.actions_enabled,
alarm_actions=result.alarm_actions,
alarm_arn=result.alarm_arn,
comparison=result.comparison,
description=result.description,
dimensions=result.dimensions,
evaluation_periods=result.evaluation_periods,
insufficient_data_actions=result.insufficient_data_actions,
last_updated=result.last_updated,
metric=result.metric,
namespace=result.namespace,
ok_actions=result.ok_actions,
period=result.period,
state_reason=result.state_reason,
state_value=result.state_value,
statistic=result.statistic,
threshold=result.threshold,
unit=result.unit)
def delete_metric_alarm(connection, module):
name = module.params.get('name')
alarms = connection.describe_alarms(alarm_names=[name])
if alarms:
try:
connection.delete_alarms([name])
module.exit_json(changed=True)
except BotoServerError as e:
module.fail_json(msg=str(e))
else:
module.exit_json(changed=False)
def main():
argument_spec = ec2_argument_spec()
argument_spec.update(
dict(
name=dict(required=True, type='str'),
metric=dict(type='str'),
namespace=dict(type='str'),
statistic=dict(type='str', choices=['SampleCount', 'Average', 'Sum', 'Minimum', 'Maximum']),
comparison=dict(type='str', choices=['<=', '<', '>', '>=']),
threshold=dict(type='float'),
period=dict(type='int'),
unit=dict(type='str', choices=['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']),
evaluation_periods=dict(type='int'),
description=dict(type='str'),
dimensions=dict(type='dict', default={}),
alarm_actions=dict(type='list'),
insufficient_data_actions=dict(type='list'),
ok_actions=dict(type='list'),
state=dict(default='present', choices=['present', 'absent']),
)
)
module = AnsibleModule(argument_spec=argument_spec)
if not HAS_BOTO:
module.fail_json(msg='boto required for this module')
state = module.params.get('state')
region, ec2_url, aws_connect_params = get_aws_connection_info(module)
if region:
try:
connection = connect_to_aws(boto.ec2.cloudwatch, region, **aws_connect_params)
except (NoAuthHandlerFound, AnsibleAWSError) as e:
module.fail_json(msg=str(e))
else:
module.fail_json(msg="region must be specified")
if state == 'present':
create_metric_alarm(connection, module)
elif state == 'absent':
delete_metric_alarm(connection, module)
if __name__ == '__main__':
main()