def __make_prev_rank(self):
for node_id, val in list(self.working_vec.items()):
try:
computing, requesting = val
except (TypeError, ValueError):
logger.warning("Wrong trust vector element {}".format(val))
break
comp_trust = util.vec_to_trust(computing)
req_trust = util.vec_to_trust(requesting)
self.prevRank[node_id] = [comp_trust, req_trust]
def __save_working_vec(self):
for node_id, val in list(self.working_vec.items()):
try:
computing, requesting = val
except (TypeError, ValueError):
logger.warning("Wrong trust vector element {}".format(val))
break
comp_trust = util.vec_to_trust(computing)
req_trust = util.vec_to_trust(requesting)
dm.upsert_global_rank(node_id, comp_trust, req_trust, computing[1],
requesting[1])
def __compare_working_vec_and_prev_rank(self):
aggregated_trust = 0.0
for node_id, val in list(self.working_vec.items()):
try:
computing, requesting = val
except (TypeError, ValueError):
logger.warning("Wrong trust vector element {}".format(val))
break
comp_trust = util.vec_to_trust(computing)
req_trust = util.vec_to_trust(requesting)
if node_id in self.prevRank:
comp_trust_old = self.prevRank[node_id][0]
req_trust_old = self.prevRank[node_id][1]
else:
comp_trust_old, req_trust_old = 0, 0
aggregated_trust += abs(comp_trust - comp_trust_old)
aggregated_trust += abs(req_trust - req_trust_old)
return aggregated_trust