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Add proper state output to ec2_asg, ec2_metric_alarm, ec2_scaling_policy

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This commit is contained in:
Paul Armstrong 2014-05-08 15:51:07 +00:00
parent 713657d684
commit 7d28f30bda
3 changed files with 69 additions and 39 deletions
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23
library/cloud/ec2_asg
View file

@ -122,7 +122,7 @@ def create_autoscaling_group(connection, module):
vpc_zone_identifier = module.params.get('vpc_zone_identifier')
launch_configs = connection.get_all_launch_configurations(names=[launch_config_name])
as_groups = connection.get_all_groups(names=[group_name])
if not vpc_zone_identifier and not availability_zones:
@ -147,7 +147,8 @@ def create_autoscaling_group(connection, module):
try:
connection.create_auto_scaling_group(ag)
module.exit_json(changed=True)
changed=True
as_groups = connection.get_all_groups(names=[group_name])
except BotoServerError, e:
module.fail_json(msg=str(e))
else:
@ -167,9 +168,25 @@ def create_autoscaling_group(connection, module):
try:
if changed:
as_group.update()
module.exit_json(changed=changed)
except BotoServerError, e:
module.fail_json(msg=str(e))
result = as_groups[0]
module.exit_json(changed=changed, name=result.name,
autoscaling_group_arn=result.autoscaling_group_arn,
availability_zones=result.availability_zones,
created_time=str(result.created_time),
default_cooldown=result.default_cooldown,
health_check_period=result.health_check_period,
health_check_type=result.health_check_type,
instance_id=result.instance_id,
instances=[instance.instance_id for instance in result.instances],
launch_config_name=result.launch_config_name,
load_balancers=result.load_balancers,
min_size=result.min_size, max_size=result.max_size,
placement_group=result.placement_group,
tags=result.tags,
termination_policies=result.termination_policies,
vpc_zone_identifier=result.vpc_zone_identifier)
def delete_autoscaling_group(connection, module):

51
library/cloud/ec2_metric_alarm
View file

@ -53,8 +53,8 @@ options:
- Determines how the threshold value is compared
required: false
options: ['<=','<','>','>=']
threshold:
description:
threshold:
description:
- Sets the min/max bound for triggering the alarm
required: false
period:
@ -65,7 +65,7 @@ options:
description:
- The number of times in which the metric is evaluated before final calculation
required: false
unit:
unit:
description:
- The threshold's unit of measurement
required: false
@ -79,7 +79,7 @@ options:
- Describes to what the alarm is applied
required: false
alarm_actions:
description:
description:
- A list of the names action(s) taken when the alarm is in the 'alarm' status
required: false
insufficient_data_actions:
@ -129,7 +129,7 @@ except ImportError:
def create_metric_alarm(connection, module):
name = module.params.get('name')
metric = module.params.get('metric')
namespace = module.params.get('namespace')
@ -146,12 +146,12 @@ def create_metric_alarm(connection, module):
ok_actions = module.params.get('ok_actions')
alarms = connection.describe_alarms(alarm_names=[name])
if not alarms:
alm = MetricAlarm(
name=name,
metric=metric,
metric=metric,
namespace=namespace,
statistic=statistic,
comparison=comparison,
@ -165,9 +165,10 @@ def create_metric_alarm(connection, module):
insufficient_data_actions=insufficient_data_actions,
ok_actions=ok_actions
)
try:
try:
connection.create_alarm(alm)
module.exit_json(changed=True)
changed = True
alarms = connection.describe_alarms(alarm_names=[name])
except BotoServerError, e:
module.fail_json(msg=str(e))
@ -186,33 +187,51 @@ def create_metric_alarm(connection, module):
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)
setattr(alarm, 'dimensions', dim1)
for attr in ('alarm_actions','insufficient_data_actions','ok_actions'):
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))
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])

34
library/cloud/ec2_scaling_policy
View file

@ -23,7 +23,7 @@ options:
- Name of the associated autoscaling group
required: true
adjustment_type:
desciption:
desciption:
- The type of change in capacity of the autoscaling group
required: false
choices: ['ChangeInCapacity','ExactCapacity','PercentChangeInCapacity']
@ -60,7 +60,7 @@ import sys
from ansible.module_utils.basic import *
from ansible.module_utils.ec2 import *
try:
try:
import boto.ec2.autoscale
from boto.ec2.autoscale import ScalingPolicy
from boto.exception import BotoServerError
@ -77,9 +77,9 @@ def create_scaling_policy(connection, module):
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,
@ -98,16 +98,17 @@ def create_scaling_policy(connection, module):
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
# 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
# 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
# check the remaining attributes
for attr in ('adjustment_type','scaling_adjustment','cooldown'):
if getattr(policy, attr) != module.params.get(attr):
changed = True
@ -117,8 +118,7 @@ def create_scaling_policy(connection, module):
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)
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)
except BotoServerError, e:
module.fail_json(msg=str(e))
@ -151,13 +151,13 @@ def main():
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:
@ -172,9 +172,3 @@ def main():
main()