class AutoScalerBuilder(object):
"""
AutoScalerBuilder is a builder to create an autoscaler for application. You
should offer many necessary arguments.
Parameters:
min_replicas, max_replicas, cpu_target: integer parameters, -1 represents
infinite big value.
"""
def __init__(self,
application,
min_replicas=-1,
max_replicas=-1,
cpu_target=-1):
self.application = application
self.application_name = get_application_instance_name(self.application)
self.namespace = self.application.image.project.name
self.min_replicas = min_replicas
self.max_replicas = max_replicas
self.cpu_target = cpu_target
self.kubeclient = KubeClient("http://{}:{}{}".format(
settings.MASTER_IP, settings.K8S_PORT,
settings.K8S_V1BETA1_API_PATH))
def create_autoscaler(self):
"""
Create autoscaler instance for application by multiple threading.
"""
creating_thread = Thread(target=self._create_autoscaler_instance)
creating_thread.start()
def _create_autoscaler_instance(self):
ok = self.kubeclient.create_autoscaler(namespace=self.namespace,
name=self.application_name,
minReplicas=self.min_replicas,
maxReplicas=self.max_replicas,
cpu_target=self.cpu_target)
if not ok:
logger.error("Create autoscaler {} failed.".format(
self.application_name))
return None
logger.debug("Create autoscaler {} successfully.".format(
self.application_name))
scaler = AutoScaler(app=self.application,
min_replicas=self.min_replicas,
max_replicas=self.max_replicas,
cpu_target=self.cpu_target)
scaler.save()
class AutoScalerBuilder(object):
"""
AutoScalerBuilder is a builder to create an autoscaler for application. You
should offer many necessary arguments.
Parameters:
min_replicas, max_replicas, cpu_target: integer parameters, -1 represents
infinite big value.
"""
def __init__(self, application, min_replicas=-1, max_replicas=-1,
cpu_target=-1):
self.application = application
self.application_name = get_application_instance_name(self.application)
self.namespace = self.application.image.project.name
self.min_replicas = min_replicas
self.max_replicas = max_replicas
self.cpu_target = cpu_target
self.kubeclient = KubeClient("http://{}:{}{}".format(settings.MASTER_IP,
settings.K8S_PORT, settings.K8S_V1BETA1_API_PATH))
def create_autoscaler(self):
"""
Create autoscaler instance for application by multiple threading.
"""
creating_thread = Thread(target=self._create_autoscaler_instance)
creating_thread.start()
def _create_autoscaler_instance(self):
ok = self.kubeclient.create_autoscaler(
namespace=self.namespace,
name=self.application_name,
minReplicas=self.min_replicas,
maxReplicas=self.max_replicas,
cpu_target=self.cpu_target)
if not ok:
logger.error("Create autoscaler {} failed.".format(
self.application_name))
return None
logger.debug("Create autoscaler {} successfully.".format(
self.application_name))
scaler = AutoScaler(app=self.application,
min_replicas=self.min_replicas,
max_replicas=self.max_replicas,
cpu_target=self.cpu_target)
scaler.save()
def test_create_autoscaler(self):
beta_client = KubeClient(
"http://192.168.0.10:8080/apis/extensions/v1beta1/")
res = beta_client.create_autoscaler('user', 'project0-nginx-test', 1,
5, 50)
print(res)
def test_create_autoscaler(self):
beta_client = KubeClient("http://192.168.0.10:8080/apis/extensions/v1beta1/")
res = beta_client.create_autoscaler('user', 'project0-nginx-test', 1, 5, 50)
print(res)