def k8s_set_environment(self, args):
if args.config_path != None:
args.config_path = os.path.expanduser(args.config_path)
cluster_object_model_instance = cluster_object_model(
args.config_path)
com = cluster_object_model_instance.kubernetes_config()
else:
com = None
kubectl_install_worker = kubectl_install.kubectl_install(com)
kubectl_install_worker.run()
def kubectl_env_checking(cluster_object_mode):
kubectl_conf_ck_worker = kubectl_conf_check.kubectl_conf_check(
cluster_object_mode)
if kubectl_conf_ck_worker.check() == False:
count_input = 0
while True:
user_input = raw_input(
"Do you want to re-install kubectl by paictl? (Y/N) ")
if user_input == "N":
count_quit = 0
while True:
quit_or_not = raw_input(
"Do you want to quit by this operation? (Y/N) ")
if quit_or_not == "Y":
return False
elif quit_or_not == "N":
return True
else:
print(" Please type Y or N.")
count_quit = count_quit + 1
if count_quit == 3:
logger.warning(
"3 Times......... Sorry, we will force stopping your operation."
)
return False
elif user_input == "Y":
kubectl_install_worker = kubectl_install.kubectl_install(
cluster_object_mode)
kubectl_install_worker.run()
return True
else:
print(" Please type Y or N.")
count_input = count_input + 1
if count_input == 3:
logger.warning(
"3 Times......... Sorry, we will force stopping your operation."
)
return False
return True
def install_kubectl(self, args):
cluster_object_model_k8s = cluster_object_model_generate_k8s(
args.config_path)
kubectl_install_worker = kubectl_install.kubectl_install(
cluster_object_model_k8s)
kubectl_install_worker.run()
def pai_cluster():
if len(sys.argv) < 2:
pai_cluster_info()
return
option = sys.argv[1]
del sys.argv[1]
if option not in [
"k8s-bootup", "k8s-clean", "generate-configuration",
"install-kubectl"
]:
pai_cluster_info()
return
if option == "k8s-bootup":
parser = argparse.ArgumentParser()
parser.add_argument('-p',
'--config-path',
dest="config_path",
required=True,
help="path of cluster configuration file")
args = parser.parse_args(sys.argv[1:])
config_path = args.config_path
cluster_config = cluster_object_model_generate_k8s(config_path)
logger.info("Begin to initialize PAI k8s cluster.")
cluster_util.maintain_cluster_k8s(cluster_config,
option_name="deploy",
clean=True)
logger.info("Finish initializing PAI k8s cluster.")
elif option == "generate-configuration":
parser = argparse.ArgumentParser(
description=
"Generate configuration files based on a quick-start yaml file.",
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument(
'-i',
'--input',
dest="quick_start_config_file",
required=True,
help=
"the path of the quick-start configuration file (yaml format) as the input"
)
parser.add_argument(
'-o',
'--output',
dest="configuration_directory",
required=True,
help=
"the path of the directory the configurations will be generated to"
)
parser.add_argument('-f',
'--force',
dest='force',
action='store_true',
required=False,
help="overwrite existing files")
parser.set_defaults(force=False)
args = parser.parse_args()
cluster_util.generate_configuration(args.quick_start_config_file,
args.configuration_directory,
args.force)
elif option == "k8s-clean":
# just use 'k8s-clean' for testing temporarily .
parser = argparse.ArgumentParser()
parser.add_argument('-p',
'--config-path',
dest="config_path",
required=True,
help="path of cluster configuration file")
parser.add_argument('-f',
'--force',
dest="force",
required=False,
action="store_true",
help="clean all the data forcefully")
args = parser.parse_args(sys.argv[1:])
config_path = args.config_path
force = args.force
cluster_config = cluster_object_model_generate_k8s(config_path)
logger.warning(
"--------------------------------------------------------")
logger.warning(
"--------------------------------------------------------")
logger.warning(
"---------- Dangerous Operation!!! ---------------")
logger.warning(
"------ Your k8s Cluster will be destroyed -------")
logger.warning(
"------ PAI service on k8s will be stopped -------")
logger.warning(
"--------------------------------------------------------")
if force:
logger.warning(
"--------------------------------------------------------")
logger.warning(
"---------- ETCD data will be cleaned. ------------")
logger.warning(
"----- If you wanna keep pai's user data. ---------")
logger.warning(
"----- Please backup etcd data. ---------")
logger.warning(
"----- And restore it after k8s-bootup ---------")
logger.warning(
"--- And restore it before deploy pai service ----")
logger.warning(
"--------------------------------------------------------")
logger.warning(
"--------------------------------------------------------")
logger.warning(
"---- Please ensure you wanna do this operator, ------")
logger.warning(
"------- after knowing all risk above. -------")
logger.warning(
"--------------------------------------------------------")
logger.warning(
"--------------------------------------------------------")
count_input = 0
while True:
user_input = raw_input(
"Do you want to continue this operation? (Y/N) ")
if user_input == "N":
return
elif user_input == "Y":
break
else:
print(" Please type Y or N.")
count_input = count_input + 1
if count_input == 3:
logger.warning(
"3 Times......... Sorry, we will force stopping your operation."
)
return
logger.info("Begin to clean up whole cluster.")
cluster_util.maintain_cluster_k8s(cluster_config,
option_name="clean",
force=force,
clean=True)
logger.info("Clean up job finished")
elif option == "install-kubectl":
parser = argparse.ArgumentParser()
parser.add_argument('-p',
'--config-path',
dest="config_path",
required=True,
help="path of cluster configuration file")
args = parser.parse_args(sys.argv[1:])
cluster_object_model_k8s = cluster_object_model_generate_k8s(
args.config_path)
kubectl_install_worker = kubectl_install.kubectl_install(
cluster_object_model_k8s)
kubectl_install_worker.run()
