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#
# 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 json
import logging
import os
import requests
from toscaparser.utils.validateutils import TOSCAVersionProperty
import translator.common.utils
from translator.hot.syntax.hot_resource import HotResource
log = logging.getLogger('tosca')
# Name used to dynamically load appropriate map class.
TARGET_CLASS_NAME = 'ToscaCompute'
# Required environment variables to create novaclient object.
ENV_VARIABLES = ['OS_AUTH_URL', 'OS_PASSWORD', 'OS_USERNAME', 'OS_TENANT_NAME']
# A design issue to be resolved is how to translate the generic TOSCA server
# properties to OpenStack flavors and images. At the Atlanta design summit,
# there was discussion on using Glance to store metadata and Graffiti to
# describe artifacts. We will follow these projects to see if they can be
# leveraged for this TOSCA translation.
# For development purpose at this time, we temporarily hardcode a list of
# flavors and images here
FLAVORS = {'m1.xlarge': {'mem_size': 16384, 'disk_size': 160, 'num_cpus': 8},
'm1.large': {'mem_size': 8192, 'disk_size': 80, 'num_cpus': 4},
'm1.medium': {'mem_size': 4096, 'disk_size': 40, 'num_cpus': 2},
'm1.small': {'mem_size': 2048, 'disk_size': 20, 'num_cpus': 1},
'm1.tiny': {'mem_size': 512, 'disk_size': 1, 'num_cpus': 1},
'm1.micro': {'mem_size': 128, 'disk_size': 0, 'num_cpus': 1},
'm1.nano': {'mem_size': 64, 'disk_size': 0, 'num_cpus': 1}}
IMAGES = {'ubuntu-software-config-os-init': {'architecture': 'x86_64',
'type': 'Linux',
'distribution': 'Ubuntu',
'version': '14.04'},
'ubuntu-12.04-software-config-os-init': {'architecture': 'x86_64',
'type': 'Linux',
'distribution': 'Ubuntu',
'version': '12.04'},
'fedora-amd64-heat-config': {'architecture': 'x86_64',
'type': 'Linux',
'distribution': 'Fedora',
'version': '18.0'},
'F18-x86_64-cfntools': {'architecture': 'x86_64',
'type': 'Linux',
'distribution': 'Fedora',
'version': '19'},
'Fedora-x86_64-20-20131211.1-sda': {'architecture': 'x86_64',
'type': 'Linux',
'distribution': 'Fedora',
'version': '20'},
'cirros-0.3.1-x86_64-uec': {'architecture': 'x86_64',
'type': 'Linux',
'distribution': 'CirrOS',
'version': '0.3.1'},
'cirros-0.3.2-x86_64-uec': {'architecture': 'x86_64',
'type': 'Linux',
'distribution': 'CirrOS',
'version': '0.3.2'},
'rhel-6.5-test-image': {'architecture': 'x86_64',
'type': 'Linux',
'distribution': 'RHEL',
'version': '6.5'}}
class ToscaCompute(HotResource):
'''Translate TOSCA node type tosca.nodes.Compute.'''
toscatype = 'tosca.nodes.Compute'
def __init__(self, nodetemplate):
super(ToscaCompute, self).__init__(nodetemplate,
type='OS::Nova::Server')
# List with associated hot port resources with this server
self.assoc_port_resources = []
pass
def handle_properties(self):
self.properties = self.translate_compute_flavor_and_image(
self.nodetemplate.get_capability('host'),
self.nodetemplate.get_capability('os'))
self.properties['user_data_format'] = 'SOFTWARE_CONFIG'
# TODO(anyone): handle user key
# hardcoded here for testing
self.properties['key_name'] = 'userkey'
# To be reorganized later based on new development in Glance and Graffiti
def translate_compute_flavor_and_image(self,
host_capability,
os_capability):
hot_properties = {}
host_cap_props = {}
os_cap_props = {}
image = None
flavor = None
if host_capability:
for prop in host_capability.get_properties_objects():
host_cap_props[prop.name] = prop.value
flavor = self._best_flavor(host_cap_props)
if os_capability:
for prop in os_capability.get_properties_objects():
os_cap_props[prop.name] = prop.value
image = self._best_image(os_cap_props)
hot_properties['flavor'] = flavor
hot_properties['image'] = image
# TODO(anyone): consider adding the flavor or image as a template
# parameter if no match is found.
return hot_properties
def _check_for_env_variables(self):
return set(ENV_VARIABLES) < set(os.environ.keys())
def _create_nova_flavor_dict(self):
'''Populates and returns the flavors dict using Nova ReST API'''
tenant_name = os.getenv('OS_TENANT_NAME')
username = os.getenv('OS_USERNAME')
password = os.getenv('OS_PASSWORD')
auth_url = os.getenv('OS_AUTH_URL')
auth_dict = {
"auth": {
"tenantName": tenant_name,
"passwordCredentials": {
"username": username,
"password": password
}
}
}
headers = {'Content-Type': 'application/json'}
keystone_response = requests.post(auth_url + '/tokens',
data=json.dumps(auth_dict),
headers=headers)
if keystone_response.status_code != 200:
return None
access_dict = json.loads(keystone_response.content)
access_token = access_dict['access']['token']['id']
service_catalog = access_dict['access']['serviceCatalog']
nova_url = ''
for service in service_catalog:
if service['type'] == 'compute':
nova_url = service['endpoints'][0]['publicURL']
if not nova_url:
return None
nova_response = requests.get(nova_url + '/flavors/detail',
headers={'X-Auth-Token': access_token})
if nova_response.status_code != 200:
return None
flavors = json.loads(nova_response.content)['flavors']
flavor_dict = dict()
for flavor in flavors:
flavor_name = str(flavor['name'])
flavor_dict[flavor_name] = {
'mem_size': flavor['ram'],
'disk_size': flavor['disk'],
'num_cpus': flavor['vcpus'],
}
return flavor_dict
def _best_flavor(self, properties):
# Check whether user exported all required environment variables.
flavors = FLAVORS
if self._check_for_env_variables():
resp = self._create_nova_flavor_dict()
if resp:
flavors = resp
# start with all flavors
match_all = flavors.keys()
# TODO(anyone): Handle the case where the value contains something like
# get_input instead of a value.
# flavors that fit the CPU count
cpu = properties.get('num_cpus')
match_cpu = self._match_flavors(match_all, flavors, 'num_cpus', cpu)
# flavors that fit the mem size
mem = properties.get('mem_size')
if mem:
mem = translator.common.utils.MemoryUnit.convert_unit_size_to_num(
mem, 'MB')
match_cpu_mem = self._match_flavors(match_cpu, flavors,
'mem_size', mem)
# flavors that fit the disk size
disk = properties.get('disk_size')
if disk:
disk = translator.common.utils.MemoryUnit.\
convert_unit_size_to_num(disk, 'GB')
match_cpu_mem_disk = self._match_flavors(match_cpu_mem, flavors,
'disk_size', disk)
# if multiple match, pick the flavor with the least memory
# the selection can be based on other heuristic, e.g. pick one with the
# least total resource
if len(match_cpu_mem_disk) > 1:
return self._least_flavor(match_cpu_mem_disk, flavors, 'mem_size')
elif len(match_cpu_mem_disk) == 1:
return match_cpu_mem_disk[0]
else:
return None
def _best_image(self, properties):
match_all = IMAGES.keys()
architecture = properties.get('architecture')
match_arch = self._match_images(match_all, IMAGES,
'architecture', architecture)
type = properties.get('type')
match_type = self._match_images(match_arch, IMAGES, 'type', type)
distribution = properties.get('distribution')
match_distribution = self._match_images(match_type, IMAGES,
'distribution',
distribution)
version = properties.get('version')
version = TOSCAVersionProperty(version).get_version()
match_version = self._match_images(match_distribution, IMAGES,
'version', version)
if len(match_version):
return list(match_version)[0]
def _match_flavors(self, this_list, this_dict, attr, size):
'''Return from this list all flavors matching the attribute size.'''
if not size:
return list(this_list)
matching_flavors = []
for flavor in this_list:
if isinstance(size, int):
if this_dict[flavor][attr] >= size:
matching_flavors.append(flavor)
return matching_flavors
def _least_flavor(self, this_list, this_dict, attr):
'''Return from this list the flavor with the smallest attr.'''
least_flavor = this_list[0]
for flavor in this_list:
if this_dict[flavor][attr] < this_dict[least_flavor][attr]:
least_flavor = flavor
return least_flavor
def _match_images(self, this_list, this_dict, attr, prop):
if not prop:
return this_list
matching_images = []
for image in this_list:
if this_dict[image][attr].lower() == str(prop).lower():
matching_images.append(image)
return matching_images
def get_hot_attribute(self, attribute, args):
attr = {}
# Convert from a TOSCA attribute for a nodetemplate to a HOT
# attribute for the matching resource. Unless there is additional
# runtime support, this should be a one to one mapping.
# Note: We treat private and public IP addresses equally, but
# this will change in the future when TOSCA starts to support
# multiple private/public IP addresses.
if attribute == 'private_address' or \
attribute == 'public_address':
attr['get_attr'] = [self.name, 'networks', 'private', 0]
return attr
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