def find_more_specific(consumer):
rib = Radix()
for item in consumer:
data = json.loads(item.value)
if "as_path" not in data:
continue
for node in rib.search_covering(data["prefix"]):
for peer, as_path in node.data.iteritems():
if peer != data["peer_as"]:
yield (node.prefix, as_path, data["prefix"], data["as_path"])
node = rib.add(data["prefix"])
node.data[data["peer_as"]] = data["as_path"]
def find_more_specific(consumer):
rib = Radix()
for item in consumer:
data = json.loads(item.value)
if "as_path" not in data:
continue
for node in rib.search_covering(data["prefix"]):
for peer, as_path in node.data.iteritems():
if peer != data["peer_as"]:
yield (node.prefix, as_path, data["prefix"],
data["as_path"])
node = rib.add(data["prefix"])
node.data[data["peer_as"]] = data["as_path"]
bootstrap_servers=args.our_servers.split(","),
group_id="follower")
if args.offset is not None:
consumer.set_topic_partitions({(t, 0): args.offset for t in topics})
# setup filters
filters = []
if args.anycast_file is not None:
anycast = Radix()
count = 0
with open(args.anycast_file, "r") as f:
for prefix in f:
if not prefix.startswith("#"):
anycast.add(prefix.strip())
count += 1
logger.info("loaded %s prefixes in the anycast list", count)
logger.info("filtering on prefixes from the file %s", args.anycast_file)
else:
raise ValueError("please provide a anycast prefix list file")
if args.as_rel_file is not None and args.ppdc_ases_file is not None:
relations, childs, parents = caida_filter_annaunce(args.as_rel_file, args.ppdc_ases_file)
else:
raise ValueError("caida files required")
for event in find_more_specific(consumer):
try:
as_path1 = event[1].split(" ")
consumer = KafkaConsumer(*topics,
bootstrap_servers=args.our_servers.split(","),
group_id="follower")
if args.offset is not None:
consumer.set_topic_partitions({(t, 0): args.offset for t in topics})
# setup filters
filters = []
if args.prefixes_file is not None:
filter_prefixes = Radix()
with open(args.prefixes_file, "r") as f:
for prefix in f:
filter_prefixes.add(prefix.strip())
def func(data):
return len(list(filter_prefixes.search_covering(
data["prefix"]))) > 0
logger.info("filtering on prefixes from the file %s",
args.prefixes_file)
filters.append(func)
for item in consumer:
if item.value is None:
continue
data = json.loads(item.value)
if len(filters) == 0 or any(f(data) for f in filters):
print(data)
args = parser.parse_args()
logging.basicConfig(level=logging.INFO)
consumer = KafkaConsumer("conflicts",
bootstrap_servers=["comet-17-22.sdsc.edu:9092", "comet-17-11.sdsc.edu:9092", "comet-17-26.sdsc.edu:9092"],
group_id="client")
if args.offset is not None:
topics = [("conflicts", i, args.offset) for i in PARTITIONS.values()]
consumer.set_topic_partitions(*topics)
# setup filters
filters = []
if args.prefixes_file is not None:
filter_prefixes = Radix()
with open(args.prefixes_file, "r") as f:
for prefix in f:
filter_prefixes.add(prefix.strip())
def func(data):
announce = data.get("announce")
return announce is not None and announce["prefix"] in filter_prefixes
logger.info("filtering on prefixes from the file %s", args.prefixes_file)
filters.append(func)
for item in consumer:
data = json.loads(item.value)
if len(filters) == 0 or any(f(data) for f in filters):
print(data)
bootstrap_servers=args.our_servers.split(","),
group_id="follower")
if args.offset is not None:
consumer.set_topic_partitions({(t, 0): args.offset for t in topics})
# setup filters
filters = []
if args.anycast_file is not None:
anycast = Radix()
count = 0
with open(args.anycast_file, "r") as f:
for prefix in f:
if not prefix.startswith("#"):
anycast.add(prefix.strip())
count += 1
logger.info("loaded %s prefixes in the anycast list", count)
logger.info("filtering on prefixes from the file %s",
args.anycast_file)
else:
raise ValueError("please provide a anycast prefix list file")
if args.as_rel_file is not None and args.ppdc_ases_file is not None:
relations, childs, parents = caida_filter_annaunce(
args.as_rel_file, args.ppdc_ases_file)
else:
raise ValueError("caida files required")
for event in find_more_specific(consumer):
