functest/core/cloudify.py

   1 #!/usr/bin/env python
   2
   3 # Copyright (c) 2018 Orange and others.
   4 #
   5 # All rights reserved. This program and the accompanying materials
   6 # are made available under the terms of the Apache License, Version 2.0
   7 # which accompanies this distribution, and is available at
   8 # http://www.apache.org/licenses/LICENSE-2.0
   9
  10 """Cloudify testcase implementation."""
  11
  12 from __future__ import division
  13
  14 import logging
  15 import time
  16 import traceback
  17
  18 from cloudify_rest_client import CloudifyClient
  19 from cloudify_rest_client.executions import Execution
  20
  21 from functest.core import singlevm
  22
  23
  24 class Cloudify(singlevm.SingleVm2):
  25     """Cloudify Orchestrator Case."""
  26
  27     __logger = logging.getLogger(__name__)
  28
  29     filename = ('/home/opnfv/functest/images/'
  30                 'cloudify-manager-community-18.10.4.qcow2')
  31     flavor_ram = 4096
  32     flavor_vcpus = 2
  33     flavor_disk = 40
  34     username = 'centos'
  35     ssh_connect_loops = 12
  36     create_server_timeout = 600
  37     ports = [80, 443, 5671, 53333]
  38
  39     def __init__(self, **kwargs):
  40         """Initialize Cloudify testcase object."""
  41         if "case_name" not in kwargs:
  42             kwargs["case_name"] = "cloudify"
  43         super(Cloudify, self).__init__(**kwargs)
  44         self.cfy_client = None
  45
  46     def prepare(self):
  47         super(Cloudify, self).prepare()
  48         for port in self.ports:
  49             self.cloud.create_security_group_rule(
  50                 self.sec.id, port_range_min=port, port_range_max=port,
  51                 protocol='tcp', direction='ingress')
  52
  53     def execute(self):
  54         """
  55         Deploy Cloudify Manager.
  56         """
  57         self.cfy_client = CloudifyClient(
  58             host=self.fip.floating_ip_address,
  59             username='admin', password='admin', tenant='default_tenant',
  60             api_version='v3')
  61         self.__logger.info("Attemps running status of the Manager")
  62         secret_key = "foo"
  63         secret_value = "bar"
  64         for loop in range(10):
  65             try:
  66                 self.__logger.debug(
  67                     "status %s", self.cfy_client.manager.get_status())
  68                 cfy_status = self.cfy_client.manager.get_status()['status']
  69                 self.__logger.info(
  70                     "The current manager status is %s", cfy_status)
  71                 if str(cfy_status) != 'running':
  72                     raise Exception("Cloudify Manager isn't up and running")
  73                 for secret in iter(self.cfy_client.secrets.list()):
  74                     if secret_key == secret["key"]:
  75                         self.__logger.debug("Updating secrets: %s", secret_key)
  76                         self.cfy_client.secrets.update(
  77                             secret_key, secret_value)
  78                         break
  79                 else:
  80                     self.__logger.debug("Creating secrets: %s", secret_key)
  81                     self.cfy_client.secrets.create(secret_key, secret_value)
  82                 self.cfy_client.secrets.delete(secret_key)
  83                 self.__logger.info("Secrets API successfully reached")
  84                 break
  85             except Exception:  # pylint: disable=broad-except
  86                 self.__logger.debug(
  87                     "try %s: Cloudify Manager isn't up and running \n%s",
  88                     loop + 1, traceback.format_exc())
  89                 time.sleep(30)
  90         else:
  91             self.__logger.error("Cloudify Manager isn't up and running")
  92             return 1
  93         self.__logger.info("Cloudify Manager is up and running")
  94         return 0
  95
  96
  97 def wait_for_execution(client, execution, logger, timeout=3600, ):
  98     """Wait for a workflow execution on Cloudify Manager."""
  99     # if execution already ended - return without waiting
 100     if execution.status in Execution.END_STATES:
 101         return execution
 102
 103     if timeout is not None:
 104         deadline = time.time() + timeout
 105
 106     # Poll for execution status and execution logs, until execution ends
 107     # and we receive an event of type in WORKFLOW_END_TYPES
 108     offset = 0
 109     batch_size = 50
 110     event_list = []
 111     execution_ended = False
 112     while True:
 113         event_list = client.events.list(
 114             execution_id=execution.id,
 115             _offset=offset,
 116             _size=batch_size,
 117             include_logs=True,
 118             sort='@timestamp').items
 119
 120         offset = offset + len(event_list)
 121         for event in event_list:
 122             logger.debug(event.get('message'))
 123
 124         if timeout is not None:
 125             if time.time() > deadline:
 126                 raise RuntimeError(
 127                     'execution of operation {0} for deployment {1} '
 128                     'timed out'.format(execution.workflow_id,
 129                                        execution.deployment_id))
 130             else:
 131                 # update the remaining timeout
 132                 timeout = deadline - time.time()
 133
 134         if not execution_ended:
 135             execution = client.executions.get(execution.id)
 136             execution_ended = execution.status in Execution.END_STATES
 137
 138         if execution_ended:
 139             break
 140
 141         time.sleep(5)
 142
 143     return execution
 144
 145
 146 def get_execution_id(client, deployment_id):
 147     """
 148     Get the execution id of a env preparation.
 149
 150     network, security group, fip, VM creation
 151     """
 152     executions = client.executions.list(deployment_id=deployment_id)
 153     for execution in executions:
 154         if execution.workflow_id == 'create_deployment_environment':
 155             return execution
 156     raise RuntimeError('Failed to get create_deployment_environment '
 157                        'workflow execution.'
 158                        'Available executions: {0}'.format(executions))