34 lines
992 B
Python
34 lines
992 B
Python
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#!/usr/bin/env python
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import pybgpstream
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from collections import defaultdict
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stream = pybgpstream.BGPStream(
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# Consider this time interval:
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# Sat, 01 Aug 2015 7:50:00 GMT - 08:10:00 GMT
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from_time="2015-08-01 07:50:00", until_time="2015-08-01 08:10:00",
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collectors=["rrc06"],
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record_type="ribs",
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filter="peer 25152 and prefix more 185.84.166.0/23 and community *:3400"
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)
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# <community, prefix > dictionary
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community_prefix = defaultdict(set)
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# Get next record
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for rec in stream.records():
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for elem in rec:
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# Get the prefix
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pfx = elem.fields['prefix']
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# Get the associated communities
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communities = elem.fields['communities']
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# for each community save the set of prefixes
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# that are affected
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for c in communities:
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community_prefix[c].add(pfx)
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# Print the list of MOAS prefix and their origin ASns
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for ct in community_prefix:
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print("Community:", ct, "==>", ",".join(community_prefix[ct]))
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