def GET(self):
user_data = web.input()
env_id = user_data.env_id
config = Config.Config (str(env_id))
#get stopped instances
stopped_instances = list()
stopped_instances=config.get_list('stopped_instances')
#get running instances
instance_list = aws_ec2.get_running_instances(config)
instance_id_list = list()
for instance in instance_list:
instance_id_list.append(instance.id)
return render.instances(instance_id_list,str(env_id),stopped_instances)
def deploy_app_at_environment(config):
"""Deploy an app to the environment"""
logger = logging.getLogger(__name__)
aws_ec2.app_predeployment(config)
#Transfer the archives to the instances
instances = aws_ec2.get_running_instances(config)
threads = list()
for instance in instances:
threads.append(threading.Thread(target=aws_ec2.deploy_app_at_instance, args=(config,instance)))
[t.start() for t in threads]
[t.join() for t in threads]
aws_ec2.app_postdeployment(config)
output = 'Deployment completed for %d instance(s). App may still be inaccessible for a couple of minutes' % len(instances)
logger.info(output)
print output
def get_avg_cpu_utilization_percentage_for_environment(config):
"""Return average CPU utilization for the given environment within number of minutes specified in config"""
logger = logging.getLogger(__name__)
instances = aws_ec2.get_running_instances(config)
cw = boto.ec2.cloudwatch.connect_to_region(config.get('region'))
env_metric = EnvMetric()
for instance in instances:
list_metrics = cw.list_metrics(dimensions={'InstanceId': instance.id}, metric_name='CPUUtilization')
#Newly added instances do not have recorded data, thus the query returns an empty list
if len(list_metrics) > 0:
inst_metric = InstanceMetric(instance,list_metrics[0])
start,end = get_start_end_statistics_time(config)
inst_metric.query = list_metrics[0].query(start, end, ['Average'])
percent, num = inst_metric.average_percentage()
rec = str(inst_metric.metric_records())
logger.info('%s: CPU %.0f%% for %d min. %s' %(inst_metric.instance.id, percent, num,rec))
env_metric.instance_metrics.append(inst_metric)
now = str(time.time()).split('.')[0]
now_human = str(datetime.datetime.now())
percent, num = env_metric.get_average_percentage()
data = '%s, %s, %.2f, %d, %d' %(now_human, now, percent, len(config.get_list('instances')), len(config.get_list('stopped_instances')))
logger.info(data)
print(data)
return env_metric
