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#!/usr/bin/env python
# Copyright (c) 2018 Orange and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
"""Cloudify testcase implementation."""
from __future__ import division
import logging
import time
import traceback
from cloudify_rest_client import CloudifyClient
from cloudify_rest_client.executions import Execution
from functest.core import singlevm
class Cloudify(singlevm.SingleVm2):
"""Cloudify Orchestrator Case."""
__logger = logging.getLogger(__name__)
filename = ('/home/opnfv/functest/images/'
'cloudify-manager-premium-4.0.1.qcow2')
flavor_ram = 4096
flavor_vcpus = 2
flavor_disk = 40
username = 'centos'
ssh_connect_loops = 12
create_server_timeout = 600
ports = [80, 443, 5671, 53333]
def __init__(self, **kwargs):
"""Initialize Cloudify testcase object."""
if "case_name" not in kwargs:
kwargs["case_name"] = "cloudify"
super(Cloudify, self).__init__(**kwargs)
self.cfy_client = None
def prepare(self):
super(Cloudify, self).prepare()
for port in self.ports:
self.cloud.create_security_group_rule(
self.sec.id, port_range_min=port, port_range_max=port,
protocol='tcp', direction='ingress')
def execute(self):
"""
Deploy Cloudify Manager.
"""
self.cfy_client = CloudifyClient(
host=self.fip.floating_ip_address,
username='admin', password='admin', tenant='default_tenant',
api_version='v3')
self.__logger.info("Attemps running status of the Manager")
secret_key = "foo"
secret_value = "bar"
for loop in range(10):
try:
self.__logger.debug(
"status %s", self.cfy_client.manager.get_status())
cfy_status = self.cfy_client.manager.get_status()['status']
self.__logger.info(
"The current manager status is %s", cfy_status)
if str(cfy_status) != 'running':
raise Exception("Cloudify Manager isn't up and running")
for secret in iter(self.cfy_client.secrets.list()):
if secret_key == secret["key"]:
self.__logger.debug("Updating secrets: %s", secret_key)
self.cfy_client.secrets.update(
secret_key, secret_value)
break
else:
self.__logger.debug("Creating secrets: %s", secret_key)
self.cfy_client.secrets.create(secret_key, secret_value)
self.cfy_client.secrets.delete(secret_key)
self.__logger.info("Secrets API successfully reached")
break
except Exception: # pylint: disable=broad-except
self.__logger.debug(
"try %s: Cloudify Manager isn't up and running \n%s",
loop + 1, traceback.format_exc())
time.sleep(30)
else:
self.__logger.error("Cloudify Manager isn't up and running")
return 1
self.__logger.info("Cloudify Manager is up and running")
return 0
def wait_for_execution(client, execution, logger, timeout=3600, ):
"""Wait for a workflow execution on Cloudify Manager."""
# if execution already ended - return without waiting
if execution.status in Execution.END_STATES:
return execution
if timeout is not None:
deadline = time.time() + timeout
# Poll for execution status and execution logs, until execution ends
# and we receive an event of type in WORKFLOW_END_TYPES
offset = 0
batch_size = 50
event_list = []
execution_ended = False
while True:
event_list = client.events.list(
execution_id=execution.id,
_offset=offset,
_size=batch_size,
include_logs=True,
sort='@timestamp').items
offset = offset + len(event_list)
for event in event_list:
logger.debug(event.get('message'))
if timeout is not None:
if time.time() > deadline:
raise RuntimeError(
'execution of operation {0} for deployment {1} '
'timed out'.format(execution.workflow_id,
execution.deployment_id))
else:
# update the remaining timeout
timeout = deadline - time.time()
if not execution_ended:
execution = client.executions.get(execution.id)
execution_ended = execution.status in Execution.END_STATES
if execution_ended:
break
time.sleep(5)
return execution
def get_execution_id(client, deployment_id):
"""
Get the execution id of a env preparation.
network, security group, fip, VM creation
"""
executions = client.executions.list(deployment_id=deployment_id)
for execution in executions:
if execution.workflow_id == 'create_deployment_environment':
return execution
raise RuntimeError('Failed to get create_deployment_environment '
'workflow execution.'
'Available executions: {0}'.format(executions))
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