shipyard/shipyard_airflow/plugins/drydock_deploy_nodes.py

71 lines
2.3 KiB
Python

# Copyright 2018 AT&T Intellectual Property. All other rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import time
from airflow.plugins_manager import AirflowPlugin
from check_k8s_node_status import check_node_status
from drydock_base_operator import DrydockBaseOperator
LOG = logging.getLogger(__name__)
class DrydockDeployNodesOperator(DrydockBaseOperator):
"""Drydock Deploy Nodes Operator
This operator will trigger drydock to deploy the bare metal
nodes
"""
def do_execute(self):
# Trigger DryDock to execute task
self.create_task('deploy_nodes')
# Retrieve query interval and timeout
q_interval = self.dc['physical_provisioner.deploy_interval']
task_timeout = self.dc['physical_provisioner.deploy_timeout']
# Query Task
self.query_task(q_interval, task_timeout)
# It takes time for the cluster join process to be triggered across
# all the nodes in the cluster. Hence there is a need to back off
# and wait before checking the state of the cluster join process.
join_wait = self.dc['physical_provisioner.join_wait']
LOG.info("All nodes deployed in MAAS")
LOG.info("Wait for %d seconds before checking node state...",
join_wait)
time.sleep(join_wait)
# Check that cluster join process is completed before declaring
# deploy_node as 'completed'.
node_st_timeout = self.dc['kubernetes.node_status_timeout']
node_st_interval = self.dc['kubernetes.node_status_interval']
check_node_status(node_st_timeout, node_st_interval)
class DrydockDeployNodesOperatorPlugin(AirflowPlugin):
"""Creates DrydockDeployNodesOperator in Airflow."""
name = 'drydock_deploy_nodes_operator'
operators = [DrydockDeployNodesOperator]