# Copyright 2021-2023 H2020 TeraFlow (https://www.teraflow-h2020.eu/) # # 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. # Convert the Explicit Route Object (ERO)-like paths produced by the PathComp component (response['path']) into # explicit hops with ingress and egress endpoints per device (path_hops). # # response['path'] = [{ # 'path-capacity': {'total-size': {'value': 200, 'unit': 0}}, # 'path-latency': {'fixed-latency-characteristic': '12.000000'}, # 'path-cost': {'cost-name': '', 'cost-value': '6.000000', 'cost-algorithm': '0.000000'}, # 'devices': [ # {'device_id': 'DC1-GW', 'endpoint_uuid': 'int'}, # {'device_id': 'DC1-GW', 'endpoint_uuid': 'eth1'}, # {'device_id': 'CS1-GW1', 'endpoint_uuid': '1/2'}, # {'device_id': 'TN-R2', 'endpoint_uuid': '2/1'}, # {'device_id': 'TN-OLS', 'endpoint_uuid': 'ca46812e8ad7'}, # {'device_id': 'TN-R3', 'endpoint_uuid': '1/1'}, # {'device_id': 'CS2-GW1', 'endpoint_uuid': '10/1'}, # {'device_id': 'DC2-GW', 'endpoint_uuid': 'int'} # ] # }] # # path_hops = [ # {'device': 'DC1-GW', 'ingress_ep': 'int', 'egress_ep': 'eth1'}, # {'device': 'CS1-GW1', 'ingress_ep': '10/1', 'egress_ep': '1/2'}, # {'device': 'TN-R2', 'ingress_ep': '1/2', 'egress_ep': '2/1'}, # {'device': 'TN-OLS', 'ingress_ep': '951f2f57e4a4', 'egress_ep': 'ca46812e8ad7'}, # {'device': 'TN-R3', 'ingress_ep': '2/1', 'egress_ep': '1/1'}, # {'device': 'CS2-GW1', 'ingress_ep': '1/1', 'egress_ep': '10/1'}, # {'device': 'DC2-GW', 'ingress_ep': 'eth1', 'egress_ep': 'int'} # ] # from typing import Dict, List def eropath_to_hops(ero_path : List[Dict], endpoint_to_link_dict : Dict) -> List[Dict]: path_hops = [] for endpoint in ero_path: device_uuid = endpoint['device_id'] endpoint_uuid = endpoint['endpoint_uuid'] if len(path_hops) == 0: path_hops.append({'device': device_uuid, 'ingress_ep': endpoint_uuid}) continue last_hop = path_hops[-1] if (last_hop['device'] == device_uuid): if ('ingress_ep' not in last_hop) or ('egress_ep' in last_hop): continue last_hop['egress_ep'] = endpoint_uuid continue endpoint_key = (last_hop['device'], last_hop['egress_ep']) link_tuple = endpoint_to_link_dict.get(endpoint_key) ingress = next(iter([ ep_id for ep_id in link_tuple[0]['link_endpoint_ids'] if (ep_id['endpoint_id']['device_id'] == device_uuid) and\ (ep_id['endpoint_id']['endpoint_uuid'] != endpoint_uuid) ]), None) if ingress['endpoint_id']['device_id'] != device_uuid: raise Exception('Malformed path') path_hops.append({ 'device': ingress['endpoint_id']['device_id'], 'ingress_ep': ingress['endpoint_id']['endpoint_uuid'], 'egress_ep': endpoint_uuid, }) return path_hops