mirror of https://github.com/ansible/ansible.git
Merge pull request #6540 from Zeekin/devel
Add cloud modules ec2_scaling_policy and ec2_metricalarmreviewable/pr18780/r1
Michael DeHaan
11 years ago
commit
65a84667a2
@ -0,0 +1,268 @@
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#!/usr/bin/python
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# This file is part of Ansible
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#
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# Ansible is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Ansible is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
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DOCUMENTATION = """
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---
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module: ec2_metricalarm
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short_description: Create/update or delete AWS Cloudwatch 'metric alarms'
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description:
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- Can create or delete AWS metric alarms
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- Metrics you wish to alarm on must already exist
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version_added: "1.6"
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requirements: [ "boto" ]
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author: Zacharie Eakin
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options:
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state:
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description:
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- register or deregister the alarm
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required: true
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choices: ['present', 'absent']
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name:
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desciption:
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- Unique name for the alarm
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required: true
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metric:
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description:
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- Name of the monitored metric (e.g. CPUUtilization)
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- Metric must already exist
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required: false
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namespace:
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description:
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- Name of the appropriate namespace, which determines the category it will appear under in cloudwatch
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required: false
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options: ['AWS/AutoScaling','AWS/Billing','AWS/DynamoDB','AWS/ElastiCache','AWS/EBS','AWS/EC2','AWS/ELB','AWS/ElasticMapReduce','AWS/OpsWorks','AWS/Redshift','AWS/RDS','AWS/Route53','AWS/SNS','AWS/SQS','AWS/StorageGateway']
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statistic:
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description:
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- Operation applied to the metric
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- Works in conjunction with period and evaluation_periods to determine the comparison value
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required: false
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options: ['SampleCount','Average','Sum','Minimum','Maximum']
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comparison:
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description:
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- Determines how the threshold value is compared
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required: false
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options: ['<=','<','>','>=']
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threshold:
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description:
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- Sets the min/max bound for triggering the alarm
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required: false
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period:
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description:
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- The time (in seconds) between metric evaluations
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required: false
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evaluation_periods:
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description:
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- The number of times in which the metric is evaluated before final calculation
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required: false
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unit:
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description:
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- The threshold's unit of measurement
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required: false
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options: ['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']
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description:
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description:
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- A longer desciption of the alarm
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required: false
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dimensions:
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description:
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- Describes to what the alarm is applied
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required: false
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alarm_actions:
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description:
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- A list of the names action(s) taken when the alarm is in the 'alarm' status
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required: false
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insufficient_data_actions:
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description:
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- A list of the names of action(s) to take when the alarm is in the 'insufficient_data' status
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required: false
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ok_actions:
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description:
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- A list of the names of action(s) to take when the alarm is in the 'ok' status
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required: false
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---
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"""
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EXAMPLES = '''
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- name: create alarm
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ec2_metricalarm:
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state: present
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region: ap-southeast-2
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name: "cpu-low"
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metric: "CPUUtilization"
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namespace: "AWS/EC2"
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statistic: Average
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comparison: "<="
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threshold: 5.0
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period: 300
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evaluation_periods: 3
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unit: "Percent"
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description: "This will alarm when a bamboo slave's cpu usage average is lower than 5% for 15 minutes "
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dimensions: {'InstanceId':'i-XXX'}
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alarm_actions: ["action1","action2"]
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'''
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import sys
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from ansible.module_utils.basic import *
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from ansible.module_utils.ec2 import *
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try:
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import boto.ec2.cloudwatch
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from boto.ec2.cloudwatch import CloudWatchConnection, MetricAlarm
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from boto.exception import BotoServerError
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except ImportError:
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print "failed=True msg='boto required for this module'"
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sys.exit(1)
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def create_metric_alarm(connection, module):
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name = module.params.get('name')
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metric = module.params.get('metric')
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namespace = module.params.get('namespace')
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statistic = module.params.get('statistic')
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comparison = module.params.get('comparison')
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threshold = module.params.get('threshold')
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period = module.params.get('period')
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evaluation_periods = module.params.get('evaluation_periods')
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unit = module.params.get('unit')
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description = module.params.get('description')
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dimensions = module.params.get('dimensions')
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alarm_actions = module.params.get('alarm_actions')
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insufficient_data_actions = module.params.get('insufficient_data_actions')
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ok_actions = module.params.get('ok_actions')
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alarms = connection.describe_alarms(alarm_names=[name])
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if not alarms:
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alm = MetricAlarm(
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name=name,
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metric=metric,
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namespace=namespace,
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statistic=statistic,
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comparison=comparison,
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threshold=threshold,
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period=period,
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evaluation_periods=evaluation_periods,
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unit=unit,
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description=description,
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dimensions=dimensions,
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alarm_actions=alarm_actions,
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insufficient_data_actions=insufficient_data_actions,
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ok_actions=ok_actions
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)
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try:
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connection.create_alarm(alm)
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module.exit_json(changed=True)
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except BotoServerError, e:
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module.fail_json(msg=str(e))
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else:
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alarm = alarms[0]
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changed = False
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for attr in ('comparison','metric','namespace','statistic','threshold','period','evaluation_periods','unit','description'):
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if getattr(alarm, attr) != module.params.get(attr):
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changed = True
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setattr(alarm, attr, module.params.get(attr))
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#this is to deal with a current bug where you cannot assign '<=>' to the comparator when modifying an existing alarm
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comparison = alarm.comparison
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comparisons = {'<=' : 'LessThanOrEqualToThreshold', '<' : 'LessThanThreshold', '>=' : 'GreaterThanOrEqualToThreshold', '>' : 'GreaterThanThreshold'}
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alarm.comparison = comparisons[comparison]
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dim1 = module.params.get('dimensions')
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dim2 = alarm.dimensions
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for keys in dim1:
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if not isinstance(dim1[keys], list):
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dim1[keys] = [dim1[keys]]
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if dim1[keys] != dim2[keys]:
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changed=True
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setattr(alarm, 'dimensions', dim1)
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for attr in ('alarm_actions','insufficient_data_actions','ok_actions'):
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action = module.params.get(attr) or []
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if getattr(alarm, attr) != action:
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changed = True
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setattr(alarm, attr, module.params.get(attr))
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try:
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if changed:
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connection.create_alarm(alarm)
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module.exit_json(changed=changed)
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except BotoServerError, e:
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module.fail_json(msg=str(e))
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def delete_metric_alarm(connection, module):
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name = module.params.get('name')
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alarms = connection.describe_alarms(alarm_names=[name])
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if alarms:
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try:
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connection.delete_alarms([name])
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module.exit_json(changed=True)
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except BotoServerError, e:
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module.fail_json(msg=str(e))
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else:
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module.exit_json(changed=False)
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def main():
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argument_spec = ec2_argument_spec()
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argument_spec.update(
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dict(
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name=dict(required=True, type='str'),
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metric=dict(type='str'),
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namespace=dict(type='str', choices=['AWS/AutoScaling', 'AWS/Billing', 'AWS/DynamoDB', 'AWS/ElastiCache', 'AWS/EBS', 'AWS/EC2',
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'AWS/ELB', 'AWS/ElasticMapReduce', 'AWS/OpsWorks', 'AWS/Redshift', 'AWS/RDS', 'AWS/Route53', 'AWS/SNS', 'AWS/SQS', 'AWS/StorageGateway']), statistic=dict(type='str', choices=['SampleCount', 'Average', 'Sum', 'Minimum', 'Maximum']),
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comparison=dict(type='str', choices=['<=', '<', '>', '>=']),
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threshold=dict(type='float'),
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period=dict(type='int'),
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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']),
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evaluation_periods=dict(type='int'),
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description=dict(type='str'),
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dimensions=dict(type='dict'),
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alarm_actions=dict(type='list'),
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insufficient_data_actions=dict(type='list'),
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ok_actions=dict(type='list'),
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state=dict(default='present', choices=['present', 'absent']),
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region=dict(aliases=['aws_region', 'ec2_region'], choices=AWS_REGIONS),
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)
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)
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module = AnsibleModule(argument_spec=argument_spec)
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state = module.params.get('state')
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region, ec2_url, aws_connect_params = get_aws_connection_info(module)
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try:
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connection = connect_to_aws(boto.ec2.cloudwatch, region, **aws_connect_params)
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except boto.exception.NoAuthHandlerFound, e:
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module.fail_json(msg=str(e))
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if state == 'present':
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create_metric_alarm(connection, module)
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elif state == 'absent':
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delete_metric_alarm(connection, module)
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main()
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@ -0,0 +1,181 @@
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#!/usr/bin/python
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DOCUMENTATION = """
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---
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module:ec2_scaling_policy
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short_description: Create or delete AWS scaling policies for Autoscaling groups
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description:
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- Can create or delete scaling policies for autoscaling groups
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- Referenced autoscaling groups must already exist
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version_added: "1.6"
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requirements: [ "boto" ]
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author: Zacharie Eakin
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options:
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state:
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description:
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- register or deregister the policy
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required: true
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choices: ['present', 'absent']
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name:
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description:
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- Unique name for the scaling policy
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required: true
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asg_name:
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description:
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- Name of the associated autoscaling group
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required: true
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adjustment_type:
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desciption:
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- The type of change in capacity of the autoscaling group
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required: false
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choices: ['ChangeInCapacity','ExactCapacity','PercentChangeInCapacity']
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scaling_adjustment:
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description:
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- The amount by which the autoscaling group is adjusted by the policy
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required: false
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min_adjustment_step:
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description:
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- Minimum amount of adjustment when policy is triggered
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required: false
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cooldown:
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description:
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- The minimum period of time between which autoscaling actions can take place
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required: false
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"""
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EXAMPLES = '''
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- ec2_scaling_policy:
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state: present
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region: US-XXX
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name: "scaledown-policy"
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adjustment_type: "ChangeInCapacity"
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asg_name: "slave-pool"
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scaling_adjustment: -1
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min_adjustment_step: 1
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cooldown: 300
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'''
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import sys
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from ansible.module_utils.basic import *
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from ansible.module_utils.ec2 import *
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try:
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import boto.ec2.autoscale
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from boto.ec2.autoscale import ScalingPolicy
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from boto.exception import BotoServerError
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except ImportError:
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print "failed=True msg='boto required for this module'"
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sys.exit(1)
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def create_scaling_policy(connection, module):
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sp_name = module.params.get('name')
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adjustment_type = module.params.get('adjustment_type')
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asg_name = module.params.get('asg_name')
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scaling_adjustment = module.params.get('scaling_adjustment')
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min_adjustment_step = module.params.get('min_adjustment_step')
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cooldown = module.params.get('cooldown')
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scalingPolicies = connection.get_all_policies(as_group=asg_name,policy_names=[sp_name])
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if not scalingPolicies:
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sp = ScalingPolicy(
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name=sp_name,
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adjustment_type=adjustment_type,
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as_name=asg_name,
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scaling_adjustment=scaling_adjustment,
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min_adjustment_step=min_adjustment_step,
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cooldown=cooldown)
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try:
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connection.create_scaling_policy(sp)
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module.exit_json(changed=True)
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except BotoServerError, e:
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module.fail_json(msg=str(e))
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else:
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policy = scalingPolicies[0]
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changed = False
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#min_adjustment_step attribute is only relevant if the adjustment_type
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#is set to percentage change in capacity, so it is a special case
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if getattr(policy, 'adjustment_type') == 'PercentChangeInCapacity':
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if getattr(policy, 'min_adjustment_step') != module.params.get('min_adjustment_step'):
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changed = True
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#set the min adjustment step incase the user decided to change their adjustment type to percentage
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setattr(policy, 'min_adjustment_step', module.params.get('min_adjustment_step'))
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#check the remaining attributes
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for attr in ('adjustment_type','scaling_adjustment','cooldown'):
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if getattr(policy, attr) != module.params.get(attr):
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changed = True
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setattr(policy, attr, module.params.get(attr))
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try:
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if changed:
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connection.create_scaling_policy(policy)
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policy = connection.get_all_policies(policy_names=[sp_name])[0]
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module.exit_json(changed=changed, name=policy.name, arn=policy.policy_arn, as_name=policy.as_name, scaling_adjustment=policy.scaling_adjustment, cooldown=policy.cooldown, adjustment_type=policy.adjustment_type, min_adjustment_step=policy.min_adjustment_step)
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module.exit_json(changed=changed)
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except BotoServerError, e:
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module.fail_json(msg=str(e))
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def delete_scaling_policy(connection, module):
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sp_name = module.params.get('name')
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asg_name = module.params.get('asg_name')
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scalingPolicies = connection.get_all_policies(as_group=asg_name,policy_names=[sp_name])
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if scalingPolicies:
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try:
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connection.delete_policy(sp_name, asg_name)
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module.exit_json(changed=True)
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except BotoServerError, e:
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module.exit_json(changed=False, msg=str(e))
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else:
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module.exit_json(changed=False)
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||||
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||||
def main():
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argument_spec = ec2_argument_spec()
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argument_spec.update(
|
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dict(
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name = dict(required=True, type='str'),
|
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adjustment_type = dict(type='str', choices=['ChangeInCapacity','ExactCapacity','PercentChangeInCapacity']),
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asg_name = dict(required=True, type='str'),
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scaling_adjustment = dict(type='int'),
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min_adjustment_step = dict(type='int'),
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cooldown = dict(type='int'),
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region = dict(aliases=['aws_region', 'ec2_region'], choices=AWS_REGIONS),
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state=dict(default='present', choices=['present', 'absent']),
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)
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)
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module = AnsibleModule(argument_spec=argument_spec)
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region, ec2_url, aws_connect_params = get_aws_connection_info(module)
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state = module.params.get('state')
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|
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try:
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connection = connect_to_aws(boto.ec2.autoscale, region, **aws_connect_params)
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except boto.exception.NoAuthHandlerFound, e:
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module.fail_json(msg = str(e))
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if state == 'present':
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create_scaling_policy(connection, module)
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elif state == 'absent':
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delete_scaling_policy(connection, module)
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main()
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||||
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||||
|
||||
|
||||
|
||||
|
||||
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