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# -------------------------------------------------------------------------
# Copyright (c) 2015-2017 AT&T Intellectual Property
#
# 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
from jinja2 import Template
import apps.placement.optimizers.conductor.translation as tr
from osdf.adapters.policy.utils import group_policies_gen
from osdf.utils.programming_utils import list_flatten
def _build_parameters(group_policies, request_json):
"""
Function prepares parameters section for has request
:param group_policies: filtered policies
:param request_json: parameter data received from a client
:return:
"""
initial_params = tr.get_opt_query_data(request_json, group_policies['onap.policies.optimization.QueryPolicy'])
params = dict()
params.update({"REQUIRED_MEM": initial_params.pop("requiredMemory", "")})
params.update({"REQUIRED_DISK": initial_params.pop("requiredDisk", "")})
params.update({"customer_lat": initial_params.pop("customerLatitude", 0.0)})
params.update({"customer_long": initial_params.pop("customerLongitude", 0.0)})
params.update({"service_name": request_json['serviceInfo']['serviceName']})
params.update({"service_id": request_json['serviceInfo']['serviceInstanceId']})
for key, val in initial_params.items():
if val and val != "":
params.update({key: val})
return params
def conductor_api_builder(request_json, flat_policies: list, local_config,
template="apps/placement/templates/conductor_interface.json"):
"""Build an OSDF southbound API call for HAS-Conductor/Placement optimization
:param request_json: parameter data received from a client
:param flat_policies: policy data received from the policy platform (flat policies)
:param template: template to generate southbound API call to conductor
:param local_config: local configuration file with pointers for the service specific information
:param prov_status: provStatus retrieved from Subscriber policy
:return: json to be sent to Conductor/placement optimization
"""
templ = Template(open(template).read())
gp = group_policies_gen(flat_policies, local_config)
demand_vnf_name_list = []
for placementDemand in request_json['placementInfo']['placementDemands']:
demand_vnf_name_list.append(placementDemand['resourceModuleName'].lower())
demand_list = tr.gen_demands(request_json, gp['onap.policies.optimization.VnfPolicy'])
# What's the attribute policy? Need an example
attribute_policy_list = tr.gen_attribute_policy(demand_vnf_name_list, gp['attribute'])
distance_to_location_policy_list = tr.gen_distance_to_location_policy(
demand_vnf_name_list, gp['onap.policies.optimization.DistancePolicy'])
# What's the inventory group policy? A policy to choose the inventory group from existing list?
inventory_policy_list = tr.gen_inventory_group_policy(demand_vnf_name_list, gp['inventory_group'])
# What's the instance fit policy, a policy to choose the instance from existing list?
resource_instance_policy_list = tr.gen_resource_instance_policy(
demand_vnf_name_list, gp['instance_fit'])
# Need an example for the resource_region_policy
resource_region_policy_list = tr.gen_resource_region_policy(demand_vnf_name_list, gp['region_fit'])
zone_policy_list = tr.gen_zone_policy(demand_vnf_name_list, gp['onap.policies.optimization.AffinityPolicy'])
optimization_policy_list = tr.gen_optimization_policy(demand_vnf_name_list,
gp['onap.policies.optimization.OptimizationPolicy'])
# Need an example for the instance reservation policy
reservation_policy_list = tr.gen_reservation_policy(demand_vnf_name_list, gp['instance_reservation'])
capacity_policy_list = tr.gen_capacity_policy(demand_vnf_name_list, gp['onap.policies.optimization.Vim_fit'])
hpa_policy_list = tr.gen_hpa_policy(demand_vnf_name_list, gp['onap.policies.optimization.HpaPolicy'])
#distance_to_location_policy_list = tr.gen_distance_to_location_policy(
# demand_vnf_name_list, gp['distance_to_location'])
# demand_list = tr.gen_demands(request_json, gp['vnfPolicy'])
#zone_policy_list = tr.gen_zone_policy(demand_vnf_name_list, gp['zone'])
#optimization_policy_list = tr.gen_optimization_policy(demand_vnf_name_list, gp['placement_optimization'])
#capacity_policy_list = tr.gen_capacity_policy(demand_vnf_name_list, gp['vim_fit'])
#hpa_policy_list = tr.gen_hpa_policy(demand_vnf_name_list, gp['hpa'])
req_params_dict = _build_parameters(gp, request_json)
conductor_policies = [attribute_policy_list, distance_to_location_policy_list, inventory_policy_list,
resource_instance_policy_list, resource_region_policy_list, zone_policy_list,
reservation_policy_list, capacity_policy_list, hpa_policy_list]
filtered_policies = [x for x in conductor_policies if len(x) > 0]
policy_groups = list_flatten(filtered_policies)
req_info = request_json['requestInfo']
request_type = req_info.get('requestType', None)
rendered_req = templ.render(
requestType=request_type,
demand_list=demand_list,
policy_groups=policy_groups,
optimization_policies=optimization_policy_list,
name=req_info['requestId'],
timeout=req_info['timeout'],
limit=req_info['numSolutions'],
request_params=req_params_dict,
json=json)
json_payload = json.dumps(json.loads(rendered_req)) # need this because template's JSON is ugly!
return json_payload
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