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README.md
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README.md
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# ris-pydot-graph
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Draw a graph from RIS BGP data. A PNG file will be generated with name 'YYYY-
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MM-DD-HH-MM-route.png'. During the generation, all the paths are printed to
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the console in case you want to see prepending and such.
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Draw a graph from RIS BGP data. A PNG file will be generated with name 'YYYY-
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MM-DD-HH-MM-route.png'. During the generation, all the paths are printed to the
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console in case you want to see prepending and such.
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# Example image
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![sample-graph](2020-11-03-09-57-45.91.126.0-24.png)
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ris.py
Executable file
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ris.py
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#!/usr/bin/env python
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import argparse
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import cymruwhois
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import itertools
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import json
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import pydot
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import random
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import time
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import urllib.request
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parser = argparse.ArgumentParser(description='''
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Draw a graph from RIS BGP data. A PNG file will be generated with name
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'YYYY-MM-DD-HH-MM-route.png'.
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During the generation, all the paths are printed to the console in case you want
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to see prepending and such.
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''')
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parser.add_argument('--route', dest='route', type=str,
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help='IPv4 or IPv6 range present in the DFZ')
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args = parser.parse_args()
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print(args.route)
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def pairwise(iterable):
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a, b = itertools.tee(iterable)
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next(b, None)
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return zip(a, b)
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paths = {}
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ris_json = urllib.request.urlopen('https://stat.ripe.net/data/looking-glass/data.json?resource={}'.format(args.route))
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ris_data = json.load(ris_json)
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prefix = ris_data['data']['rrcs'][0]['peers'][0]['prefix']
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for rrc in ris_data['data']['rrcs']:
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for peer in rrc['peers']:
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path = []
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for asn in peer['as_path'].split():
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path.append(asn)
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path.append(prefix)
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paths[peer['peer']] = path
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#json_graph = json.JSONEncoder().encode(paths)
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nodes = {}
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edges = {}
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dot_graph = pydot.Dot('BGPMAP', graph_type='digraph')
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cymruwhois_client = cymruwhois.Client()
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for peer in paths:
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print(peer, paths[peer])
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string_prepended_path = ['AS'+v for v in paths[peer][:-1]]
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print(string_prepended_path)
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cymruwhois_query = cymruwhois_client.lookupmany_dict(string_prepended_path)
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for previous_asn, asn in pairwise(paths[peer]):
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as_name = cymruwhois_query['AS'+previous_asn].owner
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print(as_name)
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edge_tuple = (previous_asn, asn)
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color = "#%x" % random.randint(0, 16777215)
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if edge_tuple not in edges:
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edge = pydot.Edge(*edge_tuple)
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edge.set_style("dashed")
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edge.set_color(color)
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dot_graph.add_edge(edge)
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edges[edge_tuple] = edge
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if previous_asn not in nodes:
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nodes[previous_asn] = pydot.Node(previous_asn)
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label = 'AS' + previous_asn + '\n' + as_name
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nodes[previous_asn].set_label(label)
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dot_graph.add_node(nodes[previous_asn])
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current_time = time.localtime()
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filename = '{}-{}-{}-{}-{}-{}.png'.format(
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"{:04d}".format(current_time.tm_year),
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"{:02d}".format(current_time.tm_mon),
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"{:02d}".format(current_time.tm_mday),
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"{:02d}".format(current_time.tm_hour),
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"{:02d}".format(current_time.tm_min),
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args.route.replace('/', '-')
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)
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dot_graph.write_png(filename)
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