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Merge pull request #6540 from Zeekin/devel

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Add cloud modules ec2_scaling_policy and ec2_metricalarm
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Michael DeHaan 2014-03-19 17:25:44 -04:00
commit 65a84667a2
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#!/usr/bin/python
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
DOCUMENTATION = """
---
module: ec2_metricalarm
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"
requirements: [ "boto" ]
author: Zacharie Eakin
options:
state:
description:
- register or deregister the alarm
required: true
choices: ['present', 'absent']
name:
desciption:
- 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, which determines the category it will appear under in cloudwatch
required: false
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']
statistic:
description:
- Operation applied to the metric
- Works in conjunction with period and evaluation_periods to determine the comparison value
required: false
options: ['SampleCount','Average','Sum','Minimum','Maximum']
comparison:
description:
- Determines how the threshold value is compared
required: false
options: ['<=','<','>','>=']
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
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']
description:
description:
- A longer desciption 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
---
"""
EXAMPLES = '''
- name: create alarm
ec2_metricalarm:
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"]
'''
import sys
from ansible.module_utils.basic import *
from ansible.module_utils.ec2 import *
try:
import boto.ec2.cloudwatch
from boto.ec2.cloudwatch import CloudWatchConnection, MetricAlarm
from boto.exception import BotoServerError
except ImportError:
print "failed=True msg='boto required for this module'"
sys.exit(1)
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)
module.exit_json(changed=True)
except BotoServerError, 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 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 []
if getattr(alarm, attr) != action:
changed = True
setattr(alarm, attr, module.params.get(attr))
try:
if changed:
connection.create_alarm(alarm)
module.exit_json(changed=changed)
except BotoServerError, e:
module.fail_json(msg=str(e))
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, 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', choices=['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']), 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'),
alarm_actions=dict(type='list'),
insufficient_data_actions=dict(type='list'),
ok_actions=dict(type='list'),
state=dict(default='present', choices=['present', 'absent']),
region=dict(aliases=['aws_region', 'ec2_region'], choices=AWS_REGIONS),
)
)
module = AnsibleModule(argument_spec=argument_spec)
state = module.params.get('state')
region, ec2_url, aws_connect_params = get_aws_connection_info(module)
try:
connection = connect_to_aws(boto.ec2.cloudwatch, region, **aws_connect_params)
except boto.exception.NoAuthHandlerFound, e:
module.fail_json(msg=str(e))
if state == 'present':
create_metric_alarm(connection, module)
elif state == 'absent':
delete_metric_alarm(connection, module)
main()

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#!/usr/bin/python
DOCUMENTATION = """
---
module:ec2_scaling_policy
short_description: Create or delete AWS scaling policies for Autoscaling groups
description:
- Can create or delete scaling policies for autoscaling groups
- Referenced autoscaling groups must already exist
version_added: "1.6"
requirements: [ "boto" ]
author: Zacharie Eakin
options:
state:
description:
- register or deregister the policy
required: true
choices: ['present', 'absent']
name:
description:
- Unique name for the scaling policy
required: true
asg_name:
description:
- Name of the associated autoscaling group
required: true
adjustment_type:
desciption:
- The type of change in capacity of the autoscaling group
required: false
choices: ['ChangeInCapacity','ExactCapacity','PercentChangeInCapacity']
scaling_adjustment:
description:
- The amount by which the autoscaling group is adjusted by the policy
required: false
min_adjustment_step:
description:
- Minimum amount of adjustment when policy is triggered
required: false
cooldown:
description:
- The minimum period of time between which autoscaling actions can take place
required: false
"""
EXAMPLES = '''
- ec2_scaling_policy:
state: present
region: US-XXX
name: "scaledown-policy"
adjustment_type: "ChangeInCapacity"
asg_name: "slave-pool"
scaling_adjustment: -1
min_adjustment_step: 1
cooldown: 300
'''
import sys
from ansible.module_utils.basic import *
from ansible.module_utils.ec2 import *
try:
import boto.ec2.autoscale
from boto.ec2.autoscale import ScalingPolicy
from boto.exception import BotoServerError
except ImportError:
print "failed=True msg='boto required for this module'"
sys.exit(1)
def create_scaling_policy(connection, module):
sp_name = module.params.get('name')
adjustment_type = module.params.get('adjustment_type')
asg_name = module.params.get('asg_name')
scaling_adjustment = module.params.get('scaling_adjustment')
min_adjustment_step = module.params.get('min_adjustment_step')
cooldown = module.params.get('cooldown')
scalingPolicies = connection.get_all_policies(as_group=asg_name,policy_names=[sp_name])
if not scalingPolicies:
sp = ScalingPolicy(
name=sp_name,
adjustment_type=adjustment_type,
as_name=asg_name,
scaling_adjustment=scaling_adjustment,
min_adjustment_step=min_adjustment_step,
cooldown=cooldown)
try:
connection.create_scaling_policy(sp)
module.exit_json(changed=True)
except BotoServerError, e:
module.fail_json(msg=str(e))
else:
policy = scalingPolicies[0]
changed = False
#min_adjustment_step attribute is only relevant if the adjustment_type
#is set to percentage change in capacity, so it is a special case
if getattr(policy, 'adjustment_type') == 'PercentChangeInCapacity':
if getattr(policy, 'min_adjustment_step') != module.params.get('min_adjustment_step'):
changed = True
#set the min adjustment step incase the user decided to change their adjustment type to percentage
setattr(policy, 'min_adjustment_step', module.params.get('min_adjustment_step'))
#check the remaining attributes
for attr in ('adjustment_type','scaling_adjustment','cooldown'):
if getattr(policy, attr) != module.params.get(attr):
changed = True
setattr(policy, attr, module.params.get(attr))
try:
if changed:
connection.create_scaling_policy(policy)
policy = connection.get_all_policies(policy_names=[sp_name])[0]
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)
module.exit_json(changed=changed)
except BotoServerError, e:
module.fail_json(msg=str(e))
def delete_scaling_policy(connection, module):
sp_name = module.params.get('name')
asg_name = module.params.get('asg_name')
scalingPolicies = connection.get_all_policies(as_group=asg_name,policy_names=[sp_name])
if scalingPolicies:
try:
connection.delete_policy(sp_name, asg_name)
module.exit_json(changed=True)
except BotoServerError, e:
module.exit_json(changed=False, 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'),
adjustment_type = dict(type='str', choices=['ChangeInCapacity','ExactCapacity','PercentChangeInCapacity']),
asg_name = dict(required=True, type='str'),
scaling_adjustment = dict(type='int'),
min_adjustment_step = dict(type='int'),
cooldown = dict(type='int'),
region = dict(aliases=['aws_region', 'ec2_region'], choices=AWS_REGIONS),
state=dict(default='present', choices=['present', 'absent']),
)
)
module = AnsibleModule(argument_spec=argument_spec)
region, ec2_url, aws_connect_params = get_aws_connection_info(module)
state = module.params.get('state')
try:
connection = connect_to_aws(boto.ec2.autoscale, region, **aws_connect_params)
except boto.exception.NoAuthHandlerFound, e:
module.fail_json(msg = str(e))
if state == 'present':
create_scaling_policy(connection, module)
elif state == 'absent':
delete_scaling_policy(connection, module)
main()