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Alarig Le Lay 3 months ago
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      2020-11-03-09-57-45.91.126.0-24.png
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      README.md
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      ris.py

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2020-11-03-09-57-45.91.126.0-24.png View File

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README.md View File

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# ris-pydot-graph
Draw a graph from RIS BGP data. A PNG file will be generated with name 'YYYY-
MM-DD-HH-MM-route.png'. During the generation, all the paths are printed to
the console in case you want to see prepending and such.
Draw a graph from RIS BGP data. A PNG file will be generated with name 'YYYY-
MM-DD-HH-MM-route.png'. During the generation, all the paths are printed to the
console in case you want to see prepending and such.
# Example image
![sample-graph](2020-11-03-09-57-45.91.126.0-24.png)

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ris.py View File

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

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