Add proper state output to ec2_asg, ec2_metric_alarm, ec2_scaling_policy
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parent
eb61c3737c
commit
ba52d02b31
3 changed files with 69 additions and 39 deletions
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@ -122,7 +122,7 @@ def create_autoscaling_group(connection, module):
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vpc_zone_identifier = module.params.get('vpc_zone_identifier')
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launch_configs = connection.get_all_launch_configurations(names=[launch_config_name])
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as_groups = connection.get_all_groups(names=[group_name])
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if not vpc_zone_identifier and not availability_zones:
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@ -147,7 +147,8 @@ def create_autoscaling_group(connection, module):
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try:
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connection.create_auto_scaling_group(ag)
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module.exit_json(changed=True)
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changed=True
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as_groups = connection.get_all_groups(names=[group_name])
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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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@ -167,9 +168,25 @@ def create_autoscaling_group(connection, module):
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try:
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if changed:
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as_group.update()
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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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result = as_groups[0]
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module.exit_json(changed=changed, name=result.name,
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autoscaling_group_arn=result.autoscaling_group_arn,
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availability_zones=result.availability_zones,
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created_time=str(result.created_time),
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default_cooldown=result.default_cooldown,
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health_check_period=result.health_check_period,
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health_check_type=result.health_check_type,
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instance_id=result.instance_id,
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instances=[instance.instance_id for instance in result.instances],
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launch_config_name=result.launch_config_name,
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load_balancers=result.load_balancers,
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min_size=result.min_size, max_size=result.max_size,
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placement_group=result.placement_group,
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tags=result.tags,
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termination_policies=result.termination_policies,
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vpc_zone_identifier=result.vpc_zone_identifier)
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def delete_autoscaling_group(connection, module):
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@ -53,8 +53,8 @@ options:
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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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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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@ -65,7 +65,7 @@ options:
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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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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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@ -79,7 +79,7 @@ options:
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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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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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@ -129,7 +129,7 @@ except ImportError:
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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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@ -146,12 +146,12 @@ def create_metric_alarm(connection, module):
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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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metric=metric,
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namespace=namespace,
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statistic=statistic,
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comparison=comparison,
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@ -165,9 +165,10 @@ def create_metric_alarm(connection, module):
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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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try:
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connection.create_alarm(alm)
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module.exit_json(changed=True)
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changed = True
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alarms = connection.describe_alarms(alarm_names=[name])
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except BotoServerError, e:
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module.fail_json(msg=str(e))
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@ -186,33 +187,51 @@ def create_metric_alarm(connection, module):
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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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setattr(alarm, 'dimensions', dim1)
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for attr in ('alarm_actions','insufficient_data_actions','ok_actions'):
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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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result = alarms[0]
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module.exit_json(changed=changed, name=result.name,
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actions_enabled=result.actions_enabled,
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alarm_actions=result.alarm_actions,
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alarm_arn=result.alarm_arn,
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comparison=result.comparison,
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description=result.description,
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dimensions=result.dimensions,
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evaluation_periods=result.evaluation_periods,
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insufficient_data_actions=result.insufficient_data_actions,
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last_updated=result.last_updated,
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metric=result.metric,
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namespace=result.namespace,
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ok_actions=result.ok_actions,
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period=result.period,
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state_reason=result.state_reason,
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state_value=result.state_value,
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statistic=result.statistic,
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threshold=result.threshold,
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unit=result.unit)
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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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@ -23,7 +23,7 @@ options:
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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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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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@ -60,7 +60,7 @@ 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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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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@ -77,9 +77,9 @@ def create_scaling_policy(connection, module):
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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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@ -98,16 +98,17 @@ def create_scaling_policy(connection, module):
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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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# 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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# set the min adjustment step incase the user decided to change their
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# 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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# 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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@ -117,8 +118,7 @@ def create_scaling_policy(connection, module):
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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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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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except BotoServerError, e:
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module.fail_json(msg=str(e))
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@ -151,13 +151,13 @@ def main():
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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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)
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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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try:
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@ -172,9 +172,3 @@ def main():
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main()
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