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check_class_visibility.py
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import argparse
import bz2
import configparser
import logging
import pickle
import sys
from collections import defaultdict
from datetime import datetime, timedelta, timezone
from kafka_wrapper.kafka_reader import KafkaReader
from kafka_wrapper.kafka_writer import KafkaWriter
from network_dependency.utils.helper_functions \
import parse_timestamp_argument, check_keys
DATE_FMT = '%Y-%m-%dT%H:%M'
def csv_converter(entry: str) -> list:
return [e.strip() for e in entry.split(',')]
def check_config(config_path: str) -> configparser.ConfigParser:
config = configparser.ConfigParser(converters={'csv': csv_converter})
config.read(config_path)
try:
config.get('input', 'visibility_topic')
config.get('input', 'classification_topic')
config.getcsv('input', 'included_classes')
config.getcsv('input', 'excluded_classes')
config.get('output', 'kafka_topic')
config.getint('settings', 'lookback_days')
config.get('kafka', 'bootstrap_servers')
except configparser.NoSectionError as e:
logging.error(f'Missing section in config file: {e}')
return configparser.ConfigParser()
except configparser.NoOptionError as e:
logging.error(f'Missing option in config file: {e}')
return configparser.ConfigParser()
except ValueError as e:
logging.error(f'Malformed option in config file: {e}')
return configparser.ConfigParser()
return config
def read_class_dependencies(reader: KafkaReader,
included_classes: list,
excluded_classes: list) -> (set, dict):
included = set()
excluded = set()
included_scope_count = defaultdict(int)
for msg in reader.read():
if check_keys(included_classes + excluded_classes, msg):
logging.warning(f'Skipping message with missing fields: {msg}')
continue
for class_name in included_classes:
for entry in msg[class_name]:
asn = entry[0]
if asn not in included:
included.add(asn)
included_scope_count[asn] += 1
for class_name in excluded_classes:
for entry in msg[class_name]:
asn = entry[0]
if asn not in excluded:
excluded.add(asn)
return included - excluded, included_scope_count
def read_visible_asns(reader: KafkaReader) -> (dict, dict, dict):
ret_unique = defaultdict(set)
ret_transit = defaultdict(set)
ret_last_hop = defaultdict(set)
for msg in reader.read():
if check_keys(['asn', 'transit_ips', 'last_hop_ips'], msg):
logging.warning(f'Skipping message with missing fields: {msg}')
continue
transit = pickle.loads(bz2.decompress(msg['transit_ips']))
last_hop = pickle.loads(bz2.decompress(msg['last_hop_ips']))
ret_transit[msg['asn']].update(transit)
ret_last_hop[msg['asn']].update(last_hop)
ret_unique[msg['asn']].update(transit.union(last_hop))
return ret_unique, ret_transit, ret_last_hop
def main() -> None:
log_fmt = '%(asctime)s %(levelname)s %(message)s'
logging.basicConfig(
format=log_fmt,
level=logging.INFO,
filename='check_class_visibility.log',
datefmt='%Y-%m-%d %H:%M:%S'
)
parser = argparse.ArgumentParser()
parser.add_argument('config')
parser.add_argument('timestamp', help='Timestamp (as UNIX epoch in seconds '
'or milliseconds, or in '
'YYYY-MM-DDThh:mm format)')
args = parser.parse_args()
logging.info(f'Started {sys.argv}')
config = check_config(args.config)
if not config.sections():
sys.exit(1)
lookup_ts = parse_timestamp_argument(args.timestamp)
if lookup_ts == 0:
logging.error(f'Invalid timestamp specified: {args.timestamp}')
sys.exit(1)
lookback_days = config.getint('settings', 'lookback_days')
lookup_ts_dt = datetime.fromtimestamp(lookup_ts, tz=timezone.utc)
lookback_start_ts_dt = lookup_ts_dt - timedelta(days=lookback_days)
lookback_start_ts = int(lookback_start_ts_dt.timestamp()) * 1000
lookback_end_ts = lookup_ts * 1000 + 1
logging.info(f'Checking timestamp {lookup_ts_dt.strftime(DATE_FMT)}')
logging.info(f'Starting lookback at '
f'{lookback_start_ts_dt.strftime(DATE_FMT)}')
visibility_topic = config.get('input', 'visibility_topic')
classification_topic = config.get('input', 'classification_topic')
included_classes = config.getcsv('input', 'included_classes')
excluded_classes = config.getcsv('input', 'excluded_classes')
bootstrap_servers = config.get('kafka', 'bootstrap_servers')
visibility_reader = KafkaReader([visibility_topic], bootstrap_servers,
lookback_start_ts, lookback_end_ts)
with visibility_reader:
visible_asns, visible_asns_transit, visible_asns_last_hop = \
read_visible_asns(visibility_reader)
class_reader = KafkaReader([classification_topic], bootstrap_servers,
lookup_ts * 1000, lookback_end_ts)
with class_reader:
included_asns, included_scope_count = \
read_class_dependencies(class_reader, included_classes,
excluded_classes)
class_writer = KafkaWriter(config.get('output', 'kafka_topic'),
bootstrap_servers,
num_partitions=10,
replication_factor=2,
# 2 months
config={'retention.ms': 5184000000})
threshold_steps = list(set(map(len, visible_asns.values())))
threshold_steps.sort(reverse=True)
msg = {'timestamp': lookup_ts}
logging.info(f'Included ASes: {len(included_asns):5d}')
logging.info(f' Visible ASes: {len(visible_asns):5d}')
logging.info(f' Thresholds: {len(threshold_steps):5d}')
remaining_visible_asns = visible_asns.keys()
remaining_included_asns = included_asns.copy()
with class_writer:
for threshold in threshold_steps:
thresh_asns = {asn for asn in remaining_visible_asns
if len(visible_asns[asn]) == threshold}
remaining_visible_asns -= thresh_asns
visible_with_threshold = \
remaining_included_asns.intersection(thresh_asns)
remaining_included_asns -= thresh_asns
logging.debug(f' threshold {threshold:2d}')
logging.debug(f' remaining visible: '
f'{len(remaining_visible_asns):5d}')
logging.debug(f' visible w/ th: {len(thresh_asns):5d}')
logging.debug(f' bgp visible w/ th: '
f'{len(visible_with_threshold):5d}')
logging.debug(f'remaining invisible: '
f'{len(remaining_included_asns):5d}')
for asn in visible_with_threshold:
msg['asn'] = asn
msg['scopes'] = included_scope_count[asn]
msg['unique_ips'] = threshold
msg['transit_ips'] = len(visible_asns_transit[asn])
msg['last_hop_ips'] = len(visible_asns_last_hop[asn])
class_writer.write(asn, msg, lookup_ts * 1000)
for asn in remaining_included_asns:
msg['asn'] = asn
msg['scopes'] = included_scope_count[asn]
msg['unique_ips'] = 0
msg['transit_ips'] = 0
msg['last_hop_ips'] = 0
class_writer.write(asn, msg, lookup_ts * 1000)
if __name__ == '__main__':
main()