for nst_name, recommendations in overall_recommendations.items():
for recommendation in recommendations:
- nsi_set = set(values['candidate']['nsi_name'] for key, values in recommendation.items())
+ nsi_set = set(values['candidate']['nsi_id'] for key, values in recommendation.items())
if len(nsi_set) == 1:
- nsi = nsi_set.pop()
- debug_log.debug("The NSSIs in the solution belongs to the same NSI {}".format(nsi))
+ nsi_id = nsi_set.pop()
+ candidate = list(recommendation.values())[0]['candidate']
+ debug_log.debug("The NSSIs in the solution belongs to the same NSI {}"
+ .format(nsi_id))
shared_nsi_solution = dict()
- shared_nsi_solution["NSIName"] = nsi
+ shared_nsi_solution["NSIId"] = nsi_id
+ shared_nsi_solution["NSIName"] = candidate.get('nsi_name')
+ shared_nsi_solution["UUID"] = candidate.get('nsi_model_version_id')
+ shared_nsi_solution["invariantUUID"] = candidate.get('nsi_model_invariant_id')
shared_nsi_solutions.append(shared_nsi_solution)
else:
nssi_solutions = get_nssi_solutions(recommendation)