def test_create(monkeypatch):
sns = MagicMock()
topic = {'TopicArn': 'arn:123:mytopic'}
sns.get_all_topics.return_value = {'ListTopicsResponse': {'ListTopicsResult': {'Topics': [topic]}}}
monkeypatch.setattr('boto.sns.connect_to_region', MagicMock(return_value=sns))
assert 'arn:123:mytopic' == resolve_topic_arn('myregion', 'mytopic')
def test_create(monkeypatch):
sns = MagicMock()
topic = MagicMock(arn='arn:123:mytopic')
sns.topics.all.return_value = [topic]
monkeypatch.setattr('boto3.resource', MagicMock(return_value=sns))
assert 'arn:123:mytopic' == resolve_topic_arn('myregion', 'mytopic')
def test_create(monkeypatch):
sns = MagicMock()
topic = {'TopicArn': 'arn:123:mytopic'}
sns.get_all_topics.return_value = {'ListTopicsResponse': {'ListTopicsResult': {'Topics': [topic]}}}
monkeypatch.setattr('boto.sns.connect_to_region', MagicMock(return_value=sns))
assert 'arn:123:mytopic' == resolve_topic_arn('myregion', 'mytopic')
def test_create(monkeypatch):
sns = MagicMock()
topic = MagicMock(arn="arn:123:mytopic")
sns.topics.all.return_value = [topic]
monkeypatch.setattr("boto3.resource", MagicMock(return_value=sns))
assert "arn:123:mytopic" == resolve_topic_arn("myregion", "mytopic")
def component_auto_scaling_group(definition, configuration, args, info, force, account_info):
definition = ensure_keys(definition, "Resources")
# launch configuration
config_name = configuration["Name"] + "Config"
definition["Resources"][config_name] = {
"Type": "AWS::AutoScaling::LaunchConfiguration",
"Properties": {
"InstanceType": configuration["InstanceType"],
"ImageId": {"Fn::FindInMap": ["Images", {"Ref": "AWS::Region"}, configuration["Image"]]},
"AssociatePublicIpAddress": configuration.get('AssociatePublicIpAddress', False),
"EbsOptimized": configuration.get('EbsOptimized', False)
}
}
if 'BlockDeviceMappings' in configuration:
definition['Resources'][config_name]['Properties']['BlockDeviceMappings'] = configuration['BlockDeviceMappings']
if "IamInstanceProfile" in configuration:
definition["Resources"][config_name]["Properties"]["IamInstanceProfile"] = configuration["IamInstanceProfile"]
if 'IamRoles' in configuration:
logical_id = configuration['Name'] + 'InstanceProfile'
roles = configuration['IamRoles']
if len(roles) > 1:
for role in roles:
if isinstance(role, dict):
raise click.UsageError('Cannot merge policies of Cloud Formation references ({"Ref": ".."}): ' +
'You can use at most one IAM role with "Ref".')
logical_role_id = configuration['Name'] + 'Role'
definition['Resources'][logical_role_id] = {
'Type': 'AWS::IAM::Role',
'Properties': {
"AssumeRolePolicyDocument": {
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": ["ec2.amazonaws.com"]
},
"Action": ["sts:AssumeRole"]
}
]
},
'Path': '/',
'Policies': get_merged_policies(roles)
}
}
instance_profile_roles = [{'Ref': logical_role_id}]
elif isinstance(roles[0], dict):
instance_profile_roles = [resolve_referenced_resource(roles[0], args.region)]
else:
instance_profile_roles = roles
definition['Resources'][logical_id] = {
'Type': 'AWS::IAM::InstanceProfile',
'Properties': {
'Path': '/',
'Roles': instance_profile_roles
}
}
definition["Resources"][config_name]["Properties"]["IamInstanceProfile"] = {'Ref': logical_id}
if "SecurityGroups" in configuration:
definition["Resources"][config_name]["Properties"]["SecurityGroups"] = \
resolve_security_groups(configuration["SecurityGroups"], args.region)
if "UserData" in configuration:
definition["Resources"][config_name]["Properties"]["UserData"] = {
"Fn::Base64": configuration["UserData"]
}
# auto scaling group
asg_name = configuration["Name"]
asg_success = ["1", "PT15M"]
if "AutoScaling" in configuration:
if "SuccessRequires" in configuration["AutoScaling"]:
asg_success = normalize_asg_success(configuration["AutoScaling"]["SuccessRequires"])
definition["Resources"][asg_name] = {
"Type": "AWS::AutoScaling::AutoScalingGroup",
# wait to get a signal from an amount of servers to signal that it booted
"CreationPolicy": {
"ResourceSignal": {
"Count": asg_success[0],
"Timeout": asg_success[1]
}
},
"Properties": {
# for our operator some notifications
"LaunchConfigurationName": {"Ref": config_name},
"VPCZoneIdentifier": {"Fn::FindInMap": ["ServerSubnets", {"Ref": "AWS::Region"}, "Subnets"]},
"Tags": [
# Tag "Name"
{
"Key": "Name",
"PropagateAtLaunch": True,
"Value": "{0}-{1}".format(info["StackName"], info["StackVersion"])
},
# Tag "StackName"
{
"Key": "StackName",
"PropagateAtLaunch": True,
"Value": info["StackName"],
},
# Tag "StackVersion"
{
"Key": "StackVersion",
"PropagateAtLaunch": True,
"Value": info["StackVersion"]
}
]
}
}
asg_properties = definition["Resources"][asg_name]["Properties"]
if "OperatorTopicId" in info:
asg_properties["NotificationConfiguration"] = {
"NotificationTypes": [
"autoscaling:EC2_INSTANCE_LAUNCH",
"autoscaling:EC2_INSTANCE_LAUNCH_ERROR",
"autoscaling:EC2_INSTANCE_TERMINATE",
"autoscaling:EC2_INSTANCE_TERMINATE_ERROR"
],
"TopicARN": resolve_topic_arn(args.region, info["OperatorTopicId"])
}
default_health_check_type = 'EC2'
if "ElasticLoadBalancer" in configuration:
if isinstance(configuration["ElasticLoadBalancer"], str):
asg_properties["LoadBalancerNames"] = [{"Ref": configuration["ElasticLoadBalancer"]}]
elif isinstance(configuration["ElasticLoadBalancer"], list):
asg_properties["LoadBalancerNames"] = [{'Ref': ref} for ref in configuration["ElasticLoadBalancer"]]
# use ELB health check by default
default_health_check_type = 'ELB'
asg_properties['HealthCheckType'] = configuration.get('HealthCheckType', default_health_check_type)
asg_properties['HealthCheckGracePeriod'] = configuration.get('HealthCheckGracePeriod', 300)
if "AutoScaling" in configuration:
as_conf = configuration["AutoScaling"]
asg_properties["MaxSize"] = as_conf["Maximum"]
asg_properties["MinSize"] = as_conf["Minimum"]
asg_properties["DesiredCapacity"] = max(int(as_conf["Minimum"]), int(as_conf.get('DesiredCapacity', 1)))
scaling_adjustment = int(as_conf.get("ScalingAdjustment", 1))
# ScaleUp policy
definition["Resources"][asg_name + "ScaleUp"] = {
"Type": "AWS::AutoScaling::ScalingPolicy",
"Properties": {
"AdjustmentType": "ChangeInCapacity",
"ScalingAdjustment": str(scaling_adjustment),
"Cooldown": str(as_conf.get("Cooldown", "60")),
"AutoScalingGroupName": {
"Ref": asg_name
}
}
}
# ScaleDown policy
definition["Resources"][asg_name + "ScaleDown"] = {
"Type": "AWS::AutoScaling::ScalingPolicy",
"Properties": {
"AdjustmentType": "ChangeInCapacity",
"ScalingAdjustment": str((-1) * scaling_adjustment),
"Cooldown": str(as_conf.get("Cooldown", "60")),
"AutoScalingGroupName": {
"Ref": asg_name
}
}
}
if "MetricType" in as_conf:
metric_type = as_conf["MetricType"]
metricfns = {
"CPU": metric_cpu,
"NetworkIn": metric_network,
"NetworkOut": metric_network
}
# lowercase cpu is an acceptable metric, be compatible
if metric_type.lower() not in map(lambda t: t.lower(), metricfns.keys()):
raise click.UsageError('Auto scaling MetricType "{}" not supported.'.format(metric_type))
metricfn = metricfns[metric_type]
definition = metricfn(asg_name, definition, as_conf, args, info, force)
else:
asg_properties["MaxSize"] = 1
asg_properties["MinSize"] = 1
return definition
def component_auto_scaling_group(definition, configuration, args, info, force,
account_info):
definition = ensure_keys(definition, "Resources")
# launch configuration
config_name = configuration["Name"] + "Config"
definition["Resources"][config_name] = {
"Type": "AWS::AutoScaling::LaunchConfiguration",
"Properties": {
"InstanceType":
configuration["InstanceType"],
"ImageId": {
"Fn::FindInMap":
["Images", {
"Ref": "AWS::Region"
}, configuration["Image"]]
},
"AssociatePublicIpAddress":
configuration.get('AssociatePublicIpAddress', False),
"EbsOptimized":
configuration.get('EbsOptimized', False)
}
}
if 'IamRoles' in configuration:
logical_id = configuration['Name'] + 'InstanceProfile'
roles = configuration['IamRoles']
if len(roles) > 1:
for role in roles:
if isinstance(role, dict):
raise click.UsageError(
'Cannot merge policies of Cloud Formation references ({"Ref": ".."}): '
+ 'You can use at most one IAM role with "Ref".')
logical_role_id = configuration['Name'] + 'Role'
definition['Resources'][logical_role_id] = {
'Type': 'AWS::IAM::Role',
'Properties': {
"AssumeRolePolicyDocument": {
"Version":
"2012-10-17",
"Statement": [{
"Effect": "Allow",
"Principal": {
"Service": ["ec2.amazonaws.com"]
},
"Action": ["sts:AssumeRole"]
}]
},
'Path': '/',
'Policies': get_merged_policies(roles)
}
}
instance_profile_roles = [{'Ref': logical_role_id}]
elif isinstance(roles[0], dict):
instance_profile_roles = [
resolve_referenced_resource(roles[0], args.region)
]
else:
instance_profile_roles = roles
definition['Resources'][logical_id] = {
'Type': 'AWS::IAM::InstanceProfile',
'Properties': {
'Path': '/',
'Roles': instance_profile_roles
}
}
definition["Resources"][config_name]["Properties"][
"IamInstanceProfile"] = {
'Ref': logical_id
}
if "SecurityGroups" in configuration:
definition["Resources"][config_name]["Properties"]["SecurityGroups"] = \
resolve_security_groups(configuration["SecurityGroups"], args.region)
if "UserData" in configuration:
definition["Resources"][config_name]["Properties"]["UserData"] = {
"Fn::Base64": configuration["UserData"]
}
# auto scaling group
asg_name = configuration["Name"]
asg_success = ["1", "PT15M"]
if "AutoScaling" in configuration:
if "SuccessRequires" in configuration["AutoScaling"]:
asg_success = normalize_asg_success(
configuration["AutoScaling"]["SuccessRequires"])
tags = [
# Tag "Name"
{
"Key": "Name",
"PropagateAtLaunch": True,
"Value": "{0}-{1}".format(info["StackName"], info["StackVersion"])
},
# Tag "StackName"
{
"Key": "StackName",
"PropagateAtLaunch": True,
"Value": info["StackName"],
},
# Tag "StackVersion"
{
"Key": "StackVersion",
"PropagateAtLaunch": True,
"Value": info["StackVersion"]
}
]
if "Tags" in configuration:
for tag in configuration["Tags"]:
tags.append({
"Key": tag["Key"],
"PropagateAtLaunch": True,
"Value": tag["Value"]
})
definition["Resources"][asg_name] = {
"Type": "AWS::AutoScaling::AutoScalingGroup",
# wait to get a signal from an amount of servers to signal that it booted
"CreationPolicy": {
"ResourceSignal": {
"Count": asg_success[0],
"Timeout": asg_success[1]
}
},
"Properties": {
# for our operator some notifications
"LaunchConfigurationName": {
"Ref": config_name
},
"VPCZoneIdentifier": {
"Fn::FindInMap":
["ServerSubnets", {
"Ref": "AWS::Region"
}, "Subnets"]
},
"Tags": tags
}
}
asg_properties = definition["Resources"][asg_name]["Properties"]
if "OperatorTopicId" in info:
asg_properties["NotificationConfiguration"] = {
"NotificationTypes": [
"autoscaling:EC2_INSTANCE_LAUNCH",
"autoscaling:EC2_INSTANCE_LAUNCH_ERROR",
"autoscaling:EC2_INSTANCE_TERMINATE",
"autoscaling:EC2_INSTANCE_TERMINATE_ERROR"
],
"TopicARN":
resolve_topic_arn(args.region, info["OperatorTopicId"])
}
default_health_check_type = 'EC2'
if "ElasticLoadBalancer" in configuration:
if isinstance(configuration["ElasticLoadBalancer"], str):
asg_properties["LoadBalancerNames"] = [{
"Ref":
configuration["ElasticLoadBalancer"]
}]
elif isinstance(configuration["ElasticLoadBalancer"], list):
asg_properties["LoadBalancerNames"] = [{
'Ref': ref
} for ref in configuration["ElasticLoadBalancer"]]
# use ELB health check by default
default_health_check_type = 'ELB'
if "ElasticLoadBalancerV2" in configuration:
if isinstance(configuration["ElasticLoadBalancerV2"], str):
asg_properties["TargetGroupARNs"] = [{
"Ref":
configuration["ElasticLoadBalancerV2"] + 'TargetGroup'
}]
elif isinstance(configuration["ElasticLoadBalancerV2"], list):
asg_properties["TargetGroupARNs"] = [{
'Ref': ref + 'TargetGroup'
} for ref in configuration["ElasticLoadBalancerV2"]]
# use ELB health check by default
default_health_check_type = 'ELB'
asg_properties['HealthCheckType'] = configuration.get(
'HealthCheckType', default_health_check_type)
asg_properties['HealthCheckGracePeriod'] = configuration.get(
'HealthCheckGracePeriod', 300)
if "AutoScaling" in configuration:
as_conf = configuration["AutoScaling"]
asg_properties["MaxSize"] = as_conf["Maximum"]
asg_properties["MinSize"] = as_conf["Minimum"]
asg_properties["DesiredCapacity"] = max(
int(as_conf["Minimum"]), int(as_conf.get('DesiredCapacity', 1)))
default_scaling_adjustment = as_conf.get("ScalingAdjustment", 1)
default_cooldown = as_conf.get("Cooldown", "60")
# ScaleUp policy
scale_up_name = asg_name + "ScaleUp"
scale_up_adjustment = int(
as_conf.get("ScaleUpAdjustment", default_scaling_adjustment))
scale_up_cooldown = as_conf.get("ScaleUpCooldown", default_cooldown)
definition["Resources"][scale_up_name] = create_autoscaling_policy(
asg_name, scale_up_name, scale_up_adjustment, scale_up_cooldown,
definition)
# ScaleDown policy
scale_down_name = asg_name + "ScaleDown"
scale_down_adjustment = (-1) * int(
as_conf.get("ScaleDownAdjustment", default_scaling_adjustment))
scale_down_cooldown = as_conf.get("ScaleDownCooldown",
default_cooldown)
definition["Resources"][scale_down_name] = create_autoscaling_policy(
asg_name, scale_down_name, scale_down_adjustment,
scale_down_cooldown, definition)
if "MetricType" in as_conf:
metric_type = as_conf["MetricType"]
metricfns = {
"CPU": metric_cpu,
"NetworkIn": metric_network,
"NetworkOut": metric_network
}
# lowercase cpu is an acceptable metric, be compatible
if metric_type.lower() not in map(lambda t: t.lower(),
metricfns.keys()):
raise click.UsageError(
'Auto scaling MetricType "{}" not supported.'.format(
metric_type))
metricfn = metricfns[metric_type]
definition = metricfn(asg_name, definition, as_conf, args, info,
force)
else:
asg_properties["MaxSize"] = 1
asg_properties["MinSize"] = 1
for res in (config_name, asg_name):
props = definition['Resources'][res]['Properties']
additional_cf_properties = ADDITIONAL_PROPERTIES.get(
definition['Resources'][res]['Type'])
properties_allowed_to_overwrite = (
set(props.keys()) - SENZA_PROPERTIES) | additional_cf_properties
for key in properties_allowed_to_overwrite:
if key in configuration:
props[key] = configuration[key]
return definition
def test_resolve_topic_arn():
assert resolve_topic_arn(None, 'arn:123') == 'arn:123'
def component_auto_scaling_group(definition, configuration, args, info, force, account_info):
definition = ensure_keys(definition, "Resources")
# launch configuration
config_name = configuration["Name"] + "Config"
definition["Resources"][config_name] = {
"Type": "AWS::AutoScaling::LaunchConfiguration",
"Properties": {
"InstanceType": configuration["InstanceType"],
"ImageId": {"Fn::FindInMap": ["Images", {"Ref": "AWS::Region"}, configuration["Image"]]},
"AssociatePublicIpAddress": configuration.get('AssociatePublicIpAddress', False),
"EbsOptimized": configuration.get('EbsOptimized', False)
}
}
if 'BlockDeviceMappings' in configuration:
definition['Resources'][config_name]['Properties']['BlockDeviceMappings'] = configuration['BlockDeviceMappings']
if "IamInstanceProfile" in configuration:
definition["Resources"][config_name]["Properties"]["IamInstanceProfile"] = configuration["IamInstanceProfile"]
if 'IamRoles' in configuration:
logical_id = configuration['Name'] + 'InstanceProfile'
roles = configuration['IamRoles']
if len(roles) > 1:
for role in roles:
if isinstance(role, dict):
raise click.UsageError('Cannot merge policies of Cloud Formation references ({"Ref": ".."}): ' +
'You can use at most one IAM role with "Ref".')
logical_role_id = configuration['Name'] + 'Role'
definition['Resources'][logical_role_id] = {
'Type': 'AWS::IAM::Role',
'Properties': {
"AssumeRolePolicyDocument": {
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": ["ec2.amazonaws.com"]
},
"Action": ["sts:AssumeRole"]
}
]
},
'Path': '/',
'Policies': get_merged_policies(roles)
}
}
instance_profile_roles = [{'Ref': logical_role_id}]
else:
instance_profile_roles = roles
definition['Resources'][logical_id] = {
'Type': 'AWS::IAM::InstanceProfile',
'Properties': {
'Path': '/',
'Roles': instance_profile_roles
}
}
definition["Resources"][config_name]["Properties"]["IamInstanceProfile"] = {'Ref': logical_id}
if "SecurityGroups" in configuration:
definition["Resources"][config_name]["Properties"]["SecurityGroups"] = \
resolve_security_groups(configuration["SecurityGroups"], args.region)
if "UserData" in configuration:
definition["Resources"][config_name]["Properties"]["UserData"] = {
"Fn::Base64": configuration["UserData"]
}
# auto scaling group
asg_name = configuration["Name"]
definition["Resources"][asg_name] = {
"Type": "AWS::AutoScaling::AutoScalingGroup",
# wait up to 15 minutes to get a signal from at least one server that it booted
"CreationPolicy": {
"ResourceSignal": {
"Count": "1",
"Timeout": "PT15M"
}
},
"Properties": {
# for our operator some notifications
"LaunchConfigurationName": {"Ref": config_name},
"VPCZoneIdentifier": {"Fn::FindInMap": ["ServerSubnets", {"Ref": "AWS::Region"}, "Subnets"]},
"Tags": [
# Tag "Name"
{
"Key": "Name",
"PropagateAtLaunch": True,
"Value": "{0}-{1}".format(info["StackName"], info["StackVersion"])
},
# Tag "StackName"
{
"Key": "StackName",
"PropagateAtLaunch": True,
"Value": info["StackName"],
},
# Tag "StackVersion"
{
"Key": "StackVersion",
"PropagateAtLaunch": True,
"Value": info["StackVersion"]
}
]
}
}
if "OperatorTopicId" in info:
definition["Resources"][asg_name]["Properties"]["NotificationConfiguration"] = {
"NotificationTypes": [
"autoscaling:EC2_INSTANCE_LAUNCH",
"autoscaling:EC2_INSTANCE_LAUNCH_ERROR",
"autoscaling:EC2_INSTANCE_TERMINATE",
"autoscaling:EC2_INSTANCE_TERMINATE_ERROR"
],
"TopicARN": resolve_topic_arn(args.region, info["OperatorTopicId"])
}
default_health_check_type = 'EC2'
if "ElasticLoadBalancer" in configuration:
if isinstance(configuration["ElasticLoadBalancer"], str):
definition["Resources"][asg_name]["Properties"]["LoadBalancerNames"] = [
{"Ref": configuration["ElasticLoadBalancer"]}]
elif isinstance(configuration["ElasticLoadBalancer"], list):
definition["Resources"][asg_name]["Properties"]["LoadBalancerNames"] = []
for ref in configuration["ElasticLoadBalancer"]:
definition["Resources"][asg_name]["Properties"]["LoadBalancerNames"].append({'Ref': ref})
# use ELB health check by default
default_health_check_type = 'ELB'
definition["Resources"][asg_name]['Properties']['HealthCheckType'] = \
configuration.get('HealthCheckType', default_health_check_type)
definition["Resources"][asg_name]['Properties']['HealthCheckGracePeriod'] = \
configuration.get('HealthCheckGracePeriod', 300)
if "AutoScaling" in configuration:
definition["Resources"][asg_name]["Properties"]["MaxSize"] = configuration["AutoScaling"]["Maximum"]
definition["Resources"][asg_name]["Properties"]["MinSize"] = configuration["AutoScaling"]["Minimum"]
# ScaleUp policy
definition["Resources"][asg_name + "ScaleUp"] = {
"Type": "AWS::AutoScaling::ScalingPolicy",
"Properties": {
"AdjustmentType": "ChangeInCapacity",
"ScalingAdjustment": "1",
"Cooldown": "60",
"AutoScalingGroupName": {
"Ref": asg_name
}
}
}
# ScaleDown policy
definition["Resources"][asg_name + "ScaleDown"] = {
"Type": "AWS::AutoScaling::ScalingPolicy",
"Properties": {
"AdjustmentType": "ChangeInCapacity",
"ScalingAdjustment": "-1",
"Cooldown": "60",
"AutoScalingGroupName": {
"Ref": asg_name
}
}
}
metric_type = configuration["AutoScaling"]["MetricType"]
metricfn = globals().get('metric_{}'.format(metric_type.lower()))
if not metricfn:
raise click.UsageError('Auto scaling MetricType "{}" not supported.'.format(metric_type))
definition = metricfn(asg_name, definition, configuration["AutoScaling"], args, info, force)
else:
definition["Resources"][asg_name]["Properties"]["MaxSize"] = 1
definition["Resources"][asg_name]["Properties"]["MinSize"] = 1
return definition
def component_auto_scaling_group(definition, configuration, args, info, force,
account_info):
definition = ensure_keys(definition, "Resources")
# launch configuration
config_name = configuration["Name"] + "Config"
definition["Resources"][config_name] = {
"Type": "AWS::AutoScaling::LaunchConfiguration",
"Properties": {
"InstanceType":
configuration["InstanceType"],
"ImageId": {
"Fn::FindInMap": [
"Images",
{
"Ref": "AWS::Region"
},
configuration["Image"],
]
},
"AssociatePublicIpAddress":
configuration.get("AssociatePublicIpAddress", False),
"EbsOptimized":
configuration.get("EbsOptimized", False),
},
}
if "IamRoles" in configuration:
logical_id = handle_iam_roles(definition, configuration, args)
definition["Resources"][config_name]["Properties"][
"IamInstanceProfile"] = {
"Ref": logical_id
}
if "SecurityGroups" in configuration:
definition["Resources"][config_name]["Properties"][
"SecurityGroups"] = resolve_security_groups(
configuration["SecurityGroups"], args.region)
if "UserData" in configuration:
definition["Resources"][config_name]["Properties"]["UserData"] = {
"Fn::Base64": configuration["UserData"]
}
# auto scaling group
asg_name = configuration["Name"]
asg_success = ["1", "PT15M"]
if "AutoScaling" in configuration:
if "SuccessRequires" in configuration["AutoScaling"]:
asg_success = normalize_asg_success(
configuration["AutoScaling"]["SuccessRequires"])
tags = [
# Tag "Name"
{
"Key": "Name",
"PropagateAtLaunch": True,
"Value": "{0}-{1}".format(info["StackName"], info["StackVersion"]),
},
# Tag "StackName"
{
"Key": "StackName",
"PropagateAtLaunch": True,
"Value": info["StackName"]
},
# Tag "StackVersion"
{
"Key": "StackVersion",
"PropagateAtLaunch": True,
"Value": info["StackVersion"],
},
]
if "Tags" in configuration:
for tag in configuration["Tags"]:
tags.append({
"Key": tag["Key"],
"PropagateAtLaunch": True,
"Value": tag["Value"]
})
definition["Resources"][asg_name] = {
"Type": "AWS::AutoScaling::AutoScalingGroup",
# wait to get a signal from an amount of servers to signal that it booted
"CreationPolicy": {
"ResourceSignal": {
"Count": asg_success[0],
"Timeout": asg_success[1]
}
},
"Properties": {
# for our operator some notifications
"LaunchConfigurationName": {
"Ref": config_name
},
"VPCZoneIdentifier": {
"Fn::FindInMap":
["ServerSubnets", {
"Ref": "AWS::Region"
}, "Subnets"]
},
"Tags": tags,
},
}
asg_properties = definition["Resources"][asg_name]["Properties"]
if "OperatorTopicId" in info:
asg_properties["NotificationConfiguration"] = {
"NotificationTypes": [
"autoscaling:EC2_INSTANCE_LAUNCH",
"autoscaling:EC2_INSTANCE_LAUNCH_ERROR",
"autoscaling:EC2_INSTANCE_TERMINATE",
"autoscaling:EC2_INSTANCE_TERMINATE_ERROR",
],
"TopicARN":
resolve_topic_arn(args.region, info["OperatorTopicId"]),
}
default_health_check_type = "EC2"
if "ElasticLoadBalancer" in configuration:
if isinstance(configuration["ElasticLoadBalancer"], str):
asg_properties["LoadBalancerNames"] = [{
"Ref":
configuration["ElasticLoadBalancer"]
}]
elif isinstance(configuration["ElasticLoadBalancer"], list):
asg_properties["LoadBalancerNames"] = [{
"Ref": ref
} for ref in configuration["ElasticLoadBalancer"]]
# use ELB health check by default
default_health_check_type = "ELB"
if "ElasticLoadBalancerV2" in configuration:
if isinstance(configuration["ElasticLoadBalancerV2"], str):
asg_properties["TargetGroupARNs"] = [{
"Ref":
configuration["ElasticLoadBalancerV2"] + "TargetGroup"
}]
elif isinstance(configuration["ElasticLoadBalancerV2"], list):
asg_properties["TargetGroupARNs"] = [{
"Ref": ref + "TargetGroup"
} for ref in configuration["ElasticLoadBalancerV2"]]
# use ELB health check by default
default_health_check_type = "ELB"
asg_properties["HealthCheckType"] = configuration.get(
"HealthCheckType", default_health_check_type)
asg_properties["HealthCheckGracePeriod"] = configuration.get(
"HealthCheckGracePeriod", 300)
if "AutoScaling" in configuration:
as_conf = configuration["AutoScaling"]
asg_properties["MaxSize"] = as_conf["Maximum"]
asg_properties["MinSize"] = as_conf["Minimum"]
asg_properties["DesiredCapacity"] = max(
int(as_conf["Minimum"]), int(as_conf.get("DesiredCapacity", 1)))
default_scaling_adjustment = as_conf.get("ScalingAdjustment", 1)
default_cooldown = as_conf.get("Cooldown", "60")
# ScaleUp policy
scale_up_name = asg_name + "ScaleUp"
scale_up_adjustment = int(
as_conf.get("ScaleUpAdjustment", default_scaling_adjustment))
scale_up_cooldown = as_conf.get("ScaleUpCooldown", default_cooldown)
definition["Resources"][scale_up_name] = create_autoscaling_policy(
asg_name, scale_up_name, scale_up_adjustment, scale_up_cooldown,
definition)
# ScaleDown policy
scale_down_name = asg_name + "ScaleDown"
scale_down_adjustment = (-1) * int(
as_conf.get("ScaleDownAdjustment", default_scaling_adjustment))
scale_down_cooldown = as_conf.get("ScaleDownCooldown",
default_cooldown)
definition["Resources"][scale_down_name] = create_autoscaling_policy(
asg_name,
scale_down_name,
scale_down_adjustment,
scale_down_cooldown,
definition,
)
if "MetricType" in as_conf:
metric_type = as_conf["MetricType"]
metricfns = {
"CPU": metric_cpu,
"NetworkIn": metric_network,
"NetworkOut": metric_network,
}
# lowercase cpu is an acceptable metric, be compatible
if metric_type.lower() not in map(lambda t: t.lower(),
metricfns.keys()):
raise click.UsageError(
'Auto scaling MetricType "{}" not supported.'.format(
metric_type))
metricfn = metricfns[metric_type]
definition = metricfn(asg_name, definition, as_conf, args, info,
force)
else:
asg_properties["MaxSize"] = 1
asg_properties["MinSize"] = 1
for res in (config_name, asg_name):
props = definition["Resources"][res]["Properties"]
additional_cf_properties = ADDITIONAL_PROPERTIES.get(
definition["Resources"][res]["Type"])
properties_allowed_to_overwrite = (
set(props.keys()) - SENZA_PROPERTIES) | additional_cf_properties
for key in properties_allowed_to_overwrite:
if key in configuration:
props[key] = configuration[key]
return definition
def component_auto_scaling_group(definition, configuration, args, info, force):
definition = ensure_keys(definition, "Resources")
# launch configuration
config_name = configuration["Name"] + "Config"
definition["Resources"][config_name] = {
"Type": "AWS::AutoScaling::LaunchConfiguration",
"Properties": {
"InstanceType": configuration["InstanceType"],
"ImageId": {"Fn::FindInMap": ["Images", {"Ref": "AWS::Region"}, configuration["Image"]]},
"AssociatePublicIpAddress": configuration.get('AssociatePublicIpAddress', False),
"EbsOptimized": configuration.get('EbsOptimized', False)
}
}
if 'BlockDeviceMappings' in configuration:
definition['Resources'][config_name]['Properties']['BlockDeviceMappings'] = configuration['BlockDeviceMappings']
if "IamInstanceProfile" in configuration:
definition["Resources"][config_name]["Properties"]["IamInstanceProfile"] = configuration["IamInstanceProfile"]
if 'IamRoles' in configuration:
logical_id = configuration['Name'] + 'InstanceProfile'
roles = configuration['IamRoles']
if len(roles) > 1:
for role in roles:
if isinstance(role, dict):
raise click.UsageError('Cannot merge policies of Cloud Formation references ({"Ref": ".."}): ' +
'You can use at most one IAM role with "Ref".')
logical_role_id = configuration['Name'] + 'Role'
definition['Resources'][logical_role_id] = {
'Type': 'AWS::IAM::Role',
'Properties': {
"AssumeRolePolicyDocument": {
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": ["ec2.amazonaws.com"]
},
"Action": ["sts:AssumeRole"]
}
]
},
'Path': '/',
'Policies': get_merged_policies(roles, args.region)
}
}
instance_profile_roles = [{'Ref': logical_role_id}]
else:
instance_profile_roles = roles
definition['Resources'][logical_id] = {
'Type': 'AWS::IAM::InstanceProfile',
'Properties': {
'Path': '/',
'Roles': instance_profile_roles
}
}
definition["Resources"][config_name]["Properties"]["IamInstanceProfile"] = {'Ref': logical_id}
if "SecurityGroups" in configuration:
definition["Resources"][config_name]["Properties"]["SecurityGroups"] = \
resolve_security_groups(configuration["SecurityGroups"], args.region)
if "UserData" in configuration:
definition["Resources"][config_name]["Properties"]["UserData"] = {
"Fn::Base64": configuration["UserData"]
}
# auto scaling group
asg_name = configuration["Name"]
definition["Resources"][asg_name] = {
"Type": "AWS::AutoScaling::AutoScalingGroup",
# wait up to 15 minutes to get a signal from at least one server that it booted
"CreationPolicy": {
"ResourceSignal": {
"Count": "1",
"Timeout": "PT15M"
}
},
"Properties": {
# for our operator some notifications
"LaunchConfigurationName": {"Ref": config_name},
"VPCZoneIdentifier": {"Fn::FindInMap": ["ServerSubnets", {"Ref": "AWS::Region"}, "Subnets"]},
"Tags": [
# Tag "Name"
{
"Key": "Name",
"PropagateAtLaunch": True,
"Value": "{0}-{1}".format(info["StackName"], info["StackVersion"])
},
# Tag "StackName"
{
"Key": "StackName",
"PropagateAtLaunch": True,
"Value": info["StackName"],
},
# Tag "StackVersion"
{
"Key": "StackVersion",
"PropagateAtLaunch": True,
"Value": info["StackVersion"]
}
]
}
}
if "OperatorTopicId" in info:
definition["Resources"][asg_name]["Properties"]["NotificationConfiguration"] = {
"NotificationTypes": [
"autoscaling:EC2_INSTANCE_LAUNCH",
"autoscaling:EC2_INSTANCE_LAUNCH_ERROR",
"autoscaling:EC2_INSTANCE_TERMINATE",
"autoscaling:EC2_INSTANCE_TERMINATE_ERROR"
],
"TopicARN": resolve_topic_arn(args.region, info["OperatorTopicId"])
}
default_health_check_type = 'EC2'
if "ElasticLoadBalancer" in configuration:
definition["Resources"][asg_name]["Properties"]["LoadBalancerNames"] = [
{"Ref": configuration["ElasticLoadBalancer"]}]
# use ELB health check by default
default_health_check_type = 'ELB'
definition["Resources"][asg_name]['Properties']['HealthCheckType'] = \
configuration.get('HealthCheckType', default_health_check_type)
definition["Resources"][asg_name]['Properties']['HealthCheckGracePeriod'] = \
configuration.get('HealthCheckGracePeriod', 300)
if "AutoScaling" in configuration:
definition["Resources"][asg_name]["Properties"]["MaxSize"] = configuration["AutoScaling"]["Maximum"]
definition["Resources"][asg_name]["Properties"]["MinSize"] = configuration["AutoScaling"]["Minimum"]
# ScaleUp policy
definition["Resources"][asg_name + "ScaleUp"] = {
"Type": "AWS::AutoScaling::ScalingPolicy",
"Properties": {
"AdjustmentType": "ChangeInCapacity",
"ScalingAdjustment": "1",
"Cooldown": "60",
"AutoScalingGroupName": {
"Ref": asg_name
}
}
}
# ScaleDown policy
definition["Resources"][asg_name + "ScaleDown"] = {
"Type": "AWS::AutoScaling::ScalingPolicy",
"Properties": {
"AdjustmentType": "ChangeInCapacity",
"ScalingAdjustment": "-1",
"Cooldown": "60",
"AutoScalingGroupName": {
"Ref": asg_name
}
}
}
metric_type = configuration["AutoScaling"]["MetricType"]
metricfn = globals().get('metric_{}'.format(metric_type.lower()))
if not metricfn:
raise click.UsageError('Auto scaling MetricType "{}" not supported.'.format(metric_type))
definition = metricfn(asg_name, definition, configuration["AutoScaling"], args, info, force)
else:
definition["Resources"][asg_name]["Properties"]["MaxSize"] = 1
definition["Resources"][asg_name]["Properties"]["MinSize"] = 1
return definition
def component_auto_scaling_group(definition, configuration, args, info, force, account_info):
definition = ensure_keys(definition, "Resources")
# launch configuration
config_name = configuration["Name"] + "Config"
definition["Resources"][config_name] = {
"Type": "AWS::AutoScaling::LaunchConfiguration",
"Properties": {
"InstanceType": configuration["InstanceType"],
"ImageId": {"Fn::FindInMap": ["Images", {"Ref": "AWS::Region"}, configuration["Image"]]},
"AssociatePublicIpAddress": configuration.get('AssociatePublicIpAddress', False),
"EbsOptimized": configuration.get('EbsOptimized', False)
}
}
if 'IamRoles' in configuration:
logical_id = handle_iam_roles(definition, configuration, args)
definition["Resources"][config_name]["Properties"]["IamInstanceProfile"] = {'Ref': logical_id}
if "SecurityGroups" in configuration:
definition["Resources"][config_name]["Properties"]["SecurityGroups"] = \
resolve_security_groups(configuration["SecurityGroups"], args.region)
if "UserData" in configuration:
definition["Resources"][config_name]["Properties"]["UserData"] = {
"Fn::Base64": configuration["UserData"]
}
# auto scaling group
asg_name = configuration["Name"]
asg_success = ["1", "PT15M"]
if "AutoScaling" in configuration:
if "SuccessRequires" in configuration["AutoScaling"]:
asg_success = normalize_asg_success(configuration["AutoScaling"]["SuccessRequires"])
tags = [
# Tag "Name"
{
"Key": "Name",
"PropagateAtLaunch": True,
"Value": "{0}-{1}".format(info["StackName"], info["StackVersion"])
},
# Tag "StackName"
{
"Key": "StackName",
"PropagateAtLaunch": True,
"Value": info["StackName"],
},
# Tag "StackVersion"
{
"Key": "StackVersion",
"PropagateAtLaunch": True,
"Value": info["StackVersion"]
}
]
if "Tags" in configuration:
for tag in configuration["Tags"]:
tags.append({
"Key": tag["Key"],
"PropagateAtLaunch": True,
"Value": tag["Value"]
})
definition["Resources"][asg_name] = {
"Type": "AWS::AutoScaling::AutoScalingGroup",
# wait to get a signal from an amount of servers to signal that it booted
"CreationPolicy": {
"ResourceSignal": {
"Count": asg_success[0],
"Timeout": asg_success[1]
}
},
"Properties": {
# for our operator some notifications
"LaunchConfigurationName": {"Ref": config_name},
"VPCZoneIdentifier": {"Fn::FindInMap": ["ServerSubnets", {"Ref": "AWS::Region"}, "Subnets"]},
"Tags": tags
}
}
asg_properties = definition["Resources"][asg_name]["Properties"]
if "OperatorTopicId" in info:
asg_properties["NotificationConfiguration"] = {
"NotificationTypes": [
"autoscaling:EC2_INSTANCE_LAUNCH",
"autoscaling:EC2_INSTANCE_LAUNCH_ERROR",
"autoscaling:EC2_INSTANCE_TERMINATE",
"autoscaling:EC2_INSTANCE_TERMINATE_ERROR"
],
"TopicARN": resolve_topic_arn(args.region, info["OperatorTopicId"])
}
default_health_check_type = 'EC2'
if "ElasticLoadBalancer" in configuration:
if isinstance(configuration["ElasticLoadBalancer"], str):
asg_properties["LoadBalancerNames"] = [{"Ref": configuration["ElasticLoadBalancer"]}]
elif isinstance(configuration["ElasticLoadBalancer"], list):
asg_properties["LoadBalancerNames"] = [{'Ref': ref} for ref in configuration["ElasticLoadBalancer"]]
# use ELB health check by default
default_health_check_type = 'ELB'
if "ElasticLoadBalancerV2" in configuration:
if isinstance(configuration["ElasticLoadBalancerV2"], str):
asg_properties["TargetGroupARNs"] = [{"Ref": configuration["ElasticLoadBalancerV2"] + 'TargetGroup'}]
elif isinstance(configuration["ElasticLoadBalancerV2"], list):
asg_properties["TargetGroupARNs"] = [
{'Ref': ref + 'TargetGroup'} for ref in configuration["ElasticLoadBalancerV2"]
]
# use ELB health check by default
default_health_check_type = 'ELB'
asg_properties['HealthCheckType'] = configuration.get('HealthCheckType', default_health_check_type)
asg_properties['HealthCheckGracePeriod'] = configuration.get('HealthCheckGracePeriod', 300)
if "AutoScaling" in configuration:
as_conf = configuration["AutoScaling"]
asg_properties["MaxSize"] = as_conf["Maximum"]
asg_properties["MinSize"] = as_conf["Minimum"]
asg_properties["DesiredCapacity"] = max(int(as_conf["Minimum"]), int(as_conf.get('DesiredCapacity', 1)))
default_scaling_adjustment = as_conf.get("ScalingAdjustment", 1)
default_cooldown = as_conf.get("Cooldown", "60")
# ScaleUp policy
scale_up_name = asg_name + "ScaleUp"
scale_up_adjustment = int(
as_conf.get("ScaleUpAdjustment", default_scaling_adjustment))
scale_up_cooldown = as_conf.get(
"ScaleUpCooldown", default_cooldown)
definition["Resources"][scale_up_name] = create_autoscaling_policy(
asg_name, scale_up_name, scale_up_adjustment, scale_up_cooldown, definition)
# ScaleDown policy
scale_down_name = asg_name + "ScaleDown"
scale_down_adjustment = (-1) * int(
as_conf.get("ScaleDownAdjustment", default_scaling_adjustment))
scale_down_cooldown = as_conf.get(
"ScaleDownCooldown", default_cooldown)
definition["Resources"][scale_down_name] = create_autoscaling_policy(
asg_name, scale_down_name, scale_down_adjustment, scale_down_cooldown, definition)
if "MetricType" in as_conf:
metric_type = as_conf["MetricType"]
metricfns = {
"CPU": metric_cpu,
"NetworkIn": metric_network,
"NetworkOut": metric_network
}
# lowercase cpu is an acceptable metric, be compatible
if metric_type.lower() not in map(lambda t: t.lower(), metricfns.keys()):
raise click.UsageError('Auto scaling MetricType "{}" not supported.'.format(metric_type))
metricfn = metricfns[metric_type]
definition = metricfn(asg_name, definition, as_conf, args, info, force)
else:
asg_properties["MaxSize"] = 1
asg_properties["MinSize"] = 1
for res in (config_name, asg_name):
props = definition['Resources'][res]['Properties']
additional_cf_properties = ADDITIONAL_PROPERTIES.get(definition['Resources'][res]['Type'])
properties_allowed_to_overwrite = (set(props.keys()) - SENZA_PROPERTIES) | additional_cf_properties
for key in properties_allowed_to_overwrite:
if key in configuration:
props[key] = configuration[key]
return definition