def update_stack(name, template, params):
cf = boto3.client("cloudformation")
wait_for_stack(cf, name)
print("Updating stack '{}'".format(name))
cf.update_stack(StackName=name,
TemplateBody=json.dumps(template),
Parameters=[{
"ParameterKey": k,
"ParameterValue": params[k]
} for k in params],
Capabilities=['CAPABILITY_IAM'])
return wait_for_stack(cf, name)
def create_stack(cluster_name, template, params, **kwargs):
cf = boto3.client("cloudformation")
try:
logging.debug("Creating stack '{}'".format(cluster_name))
cf.create_stack(StackName=cluster_name,
TemplateBody=json.dumps(template),
Parameters=[{
"ParameterKey": k,
"ParameterValue": params[k]
} for k in params if params[k]],
Capabilities=['CAPABILITY_IAM'],
OnFailure='ROLLBACK')
except Exception as e:
logging.warn(traceback.format_exc())
pass
return wait_for_stack(cluster_name)
def create_stack(name, template, params):
cf = boto3.client("cloudformation")
try:
print("Creating stack '{}'".format(name))
cf.create_stack(StackName=name,
TemplateBody=json.dumps(template),
Parameters=[{
"ParameterKey": k,
"ParameterValue": params[k]
} for k in params],
Capabilities=['CAPABILITY_IAM'],
OnFailure='ROLLBACK')
except Exception as e:
traceback.print_exc()
pass
return wait_for_stack(cf, name)
def update_stack(cluster_name, template, params, **kwargs):
cf = boto3.client("cloudformation")
try:
logging.debug("Updating stack '{}'".format(cluster_name))
cf.update_stack(StackName=cluster_name,
TemplateBody=json.dumps(template),
Parameters=[{
"ParameterKey": k,
"ParameterValue": params[k]
} for k in params if params[k]],
Capabilities=['CAPABILITY_IAM'])
except Exception as e:
logging.warn(traceback.format_exc())
if 'No updates are to be performed' in str(e):
pass
else:
raise e
return wait_for_stack(cluster_name)
def lambda_handler(event, context):
return make_response(body="<pre>\n{}\n</pre>".format(
json.dumps(event, indent=2, sort_keys=True)))
def describe_cluster(self, *args, **kwargs):
print(
json.dumps(wiglaf.cloudformation.get_stack_info(**self.config),
indent=4,
sort_keys=True))
"Ref": "Function"
},
"Action": "lambda:InvokeFunction",
"Principal": "s3.amazonaws.com",
"SourceArn": {
"Fn::Sub": "arn:${AWS::Partition}:s3:::*"
}
}
}
},
"Outputs": {
"LambdaBucket": {
"Value": {
"Ref": "LambdaBucket"
}
},
"DataBucket": {
"Value": {
"Ref": "DataBucket"
}
},
"AutoScalingGroup": {
"Value": {
"Ref": "AutoScalingGroup"
}
}
}
}
WIGLAF_TEMPLATE_BODY = json.dumps(WIGLAF_TEMPLATE, separators=(',', ':'))