def fast_match(self, cluster_ids: list, tokens):
match_cluster = None
max_sim = -1
max_param_count = -1
max_cluster = None
for cluster_id in cluster_ids:
# Try to retrieve cluster from cache with bypassing eviction
# algorithm as we are only testing candidates for a match.
cluster = Cache.get(self.id_to_cluster, cluster_id)
if cluster is None:
continue
cur_sim, param_count = self.get_seq_distance(
cluster.log_template_tokens, tokens)
if cur_sim > max_sim or (cur_sim == max_sim
and param_count > max_param_count):
max_sim = cur_sim
max_param_count = param_count
max_cluster = cluster
if max_sim >= self.sim_th:
match_cluster = max_cluster
return match_cluster
async def exists_cached(
self, cache: Cache, memory: bool = True, **filters: Any,
) -> bool:
id = filters.pop(self.repository.id_name, None)
if id is None:
raise RequiredKeyAttributeError(
type(self.repository).__name__,
self.repository.id_name,
self.repository.key_attrs,
)
cache_key = self.cache_key(id, self.cache_key_suffix(**filters))
entity_exists = cache.get(cache_key)
if entity_exists is None:
filters[self.repository.id_name] = id
if memory:
entity_exists = await self.exists_circuit(
self.repository.query(**filters)
)
else:
entity_exists = await self.exists_fallback_circuit(
self.repository.query(memory=False, **filters)
)
if not entity_exists:
cache[cache_key] = CACHE_ALREADY_NOT_FOUND
return False
else:
cache[cache_key] = True
elif entity_exists is CACHE_ALREADY_NOT_FOUND:
return False
return True
def get(self, *args, **kwargs):
with self.__timer:
return Cache.get(self, *args, **kwargs)