apps/slice_selection/optimizers/conductor/response_processor.py

   1 # -------------------------------------------------------------------------
   2 #   Copyright (C) 2020 Wipro Limited.
   3 #
   4 #   Licensed under the Apache License, Version 2.0 (the "License");
   5 #   you may not use this file except in compliance with the License.
   6 #   You may obtain a copy of the License at
   7 #
   8 #       http://www.apache.org/licenses/LICENSE-2.0
   9 #
  10 #   Unless required by applicable law or agreed to in writing, software
  11 #   distributed under the License is distributed on an "AS IS" BASIS,
  12 #   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13 #   See the License for the specific language governing permissions and
  14 #   limitations under the License.
  15 #
  16 # -------------------------------------------------------------------------
  17 #
  18
  19 """
  20 Module for processing response from conductor for slice selection
  21 """
  22
  23 from osdf.logging.osdf_logging import debug_log
  24
  25
  26 SLICE_PROFILE_FIELDS = ["latency", "max_number_of_ues", "coverage_area_ta_list",
  27                         "ue_mobility_level", "resource_sharing_level", "exp_data_rate_ul",
  28                         "exp_data_rate_dl", "area_traffic_cap_ul", "area_traffic_cap_dl",
  29                         "activity_factor", "e2e_latency", "jitter", "survival_time",
  30                         "exp_data_rate", "payload_size", "traffic_density", "conn_density",
  31                         "reliability", "service_area_dimension", "cs_availability"]
  32
  33
  34 def conductor_response_processor(overall_recommendations, nst_info_map, request_info):
  35     """Process conductor response to form the response for the API request
  36         :param overall_recommendations: recommendations from conductor
  37         :param nst_info_map: NST info from the request
  38         :param request_info: request info
  39         :return: response json as a dictionary
  40     """
  41     shared_nsi_solutions = list()
  42     new_nsi_solutions = list()
  43
  44     for nst_name, recommendations in overall_recommendations.items():
  45         for recommendation in recommendations:
  46             nsi_set = set(values['candidate']['nsi_id'] for key, values in recommendation.items())
  47             if len(nsi_set) == 1:
  48                 nsi_id = nsi_set.pop()
  49                 candidate = list(recommendation.values())[0]['candidate']
  50                 debug_log.debug("The NSSIs in the solution belongs to the same NSI {}"
  51                                 .format(nsi_id))
  52                 shared_nsi_solution = dict()
  53                 shared_nsi_solution["NSIId"] = nsi_id
  54                 shared_nsi_solution["NSIName"] = candidate.get('nsi_name')
  55                 shared_nsi_solution["UUID"] = candidate.get('nsi_model_version_id')
  56                 shared_nsi_solution["invariantUUID"] = candidate.get('nsi_model_invariant_id')
  57
  58                 nssi_info_list = get_nssi_solutions(recommendation)
  59                 nssis = list()
  60                 for nssi_info in nssi_info_list:
  61                     nssi = dict()
  62                     nssi["NSSIId"] = nssi_info.get("NSSISolution").get("NSSIId")
  63                     nssi["NSSIName"] = nssi_info.get("NSSISolution").get("NSSIName")
  64                     nssi["UUID"] = ""
  65                     nssi["invariantUUID"] = ""
  66                     nssi["sliceProfile"] = [nssi_info.get("sliceProfile")]
  67                     nssis.append(nssi)
  68
  69                 shared_nsi_solution["NSSIs"] = nssis
  70                 shared_nsi_solutions.append(shared_nsi_solution)
  71             else:
  72                 nssi_solutions = get_nssi_solutions(recommendation)
  73                 new_nsi_solution = dict()
  74                 new_nsi_solution['matchLevel'] = ""
  75                 new_nsi_solution['NSTInfo'] = nst_info_map.get(nst_name)
  76                 new_nsi_solution['NSSISolutions'] = nssi_solutions
  77                 new_nsi_solutions.append(new_nsi_solution)
  78
  79     solutions = dict()
  80     solutions['sharedNSISolutions'] = shared_nsi_solutions
  81     solutions['newNSISolutions'] = new_nsi_solutions
  82     return get_nsi_selection_response(request_info, solutions)
  83
  84
  85 def conductor_error_response_processor(request_info, error_message):
  86     """Form response message from the error message
  87         :param request_info: request info
  88         :param error_message: error message while processing the request
  89         :return: response json as dictionary
  90     """
  91     return {'requestId': request_info['requestId'],
  92             'transactionId': request_info['transactionId'],
  93             'requestStatus': 'error',
  94             'statusMessage': error_message}
  95
  96
  97 def get_nssi_solutions(recommendation):
  98     """Get nssi solutions from recommendation
  99         :param recommendation: recommendation from conductor
 100         :return: new nssi solutions list
 101     """
 102     nssi_solutions = list()
 103
 104     for nsst_name, nsst_rec in recommendation.items():
 105         candidate = nsst_rec['candidate']
 106         nssi_info, slice_profile = get_solution_from_candidate(candidate)
 107         nsst_info = {"NSSTName": nsst_name}
 108         nssi_solution = {"sliceProfile": slice_profile,
 109                          "NSSTInfo": nsst_info,
 110                          "NSSISolution": nssi_info}
 111         nssi_solutions.append(nssi_solution)
 112     return nssi_solutions
 113
 114
 115 def get_solution_from_candidate(candidate):
 116     """Get nssi info from candidate
 117         :param candidate: Candidate from the recommendation
 118         :return: nssi_info and slice profile derived from candidate
 119     """
 120     slice_profile = dict()
 121     nssi_info = {"NSSIName": candidate['instance_name'],
 122                  "NSSIId": candidate['candidate_id']}
 123
 124     for field in SLICE_PROFILE_FIELDS:
 125         if candidate[field]:
 126             slice_profile[field] = candidate[field]
 127
 128     return nssi_info, slice_profile
 129
 130
 131 def get_nsi_selection_response(request_info, solutions):
 132     """Get NSI selection response from final solution
 133         :param request_info: request info
 134         :param solutions: final solutions
 135         :return: NSI selection response to send back as dictionary
 136     """
 137     return {'requestId': request_info['requestId'],
 138             'transactionId': request_info['transactionId'],
 139             'requestStatus': 'completed',
 140             'statusMessage': '',
 141             'solutions': solutions}