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import argparse
import math
import networkx
import random
import tempfile
import os
import time
import matplotlib.pyplot as plt
from subprocess import Popen, PIPE, STDOUT
node_colors = None
graph = None
pos = None
def get_args():
parser = argparse.ArgumentParser(description="Sensor profiler")
parser.add_argument('-p', '--peers', action='store', type=int, required=True,
help='Number of peers to run')
parser.add_argument('-l', '--links', action='store', type=int, required=False,
help='Number of links to create')
parser.add_argument('-i', '--sensors-interval', action='store', type=int,
required=False,
help='Change the interval of running sensors to given value')
parser.add_argument('-a', '--anomalous-peers', action='store', type=int,
required=True,
help='Number of peers to simulate anomalies on')
return parser.parse_args()
def generate_topology(peers, links):
global graph
global node_colors
global pos
graph = networkx.empty_graph(peers)
for i in range(0, links):
a = 0
b = 0
while a == b:
a = random.randint(0, peers - 1)
b = random.randint(0, peers - 1)
graph.add_edge(a, b)
node_colors = [0] * peers
pos = networkx.layout.spring_layout(graph)
def create_topology_file():
global graph
nodes = list()
for i in range(len(graph.edge)):
nodes.append(list())
for e in graph.edges():
nodes[e[0]].append(e[1])
print nodes
f = tempfile.NamedTemporaryFile(delete=False)
for i in range(len(nodes)):
if len(nodes[i]) == 0:
continue
f.write('%d:' % i)
f.write('|'.join(map(str, nodes[i])))
f.write('\n')
# f.close()
return f.name
def draw_graph():
global graph
global node_colors
global pos
t = int(time.time())
inc = 2
name = str(t) + '.png'
while os.path.exists(name):
name = '%d(%d).png' % (t, inc)
inc += 1
print 'Drawing graph to file: %s' % name
plt.clf()
anomaly_lbls = {}
for i in range(len(graph.node)):
if node_colors[i] >= 1:
anomaly_lbls[i] = '\n\n\n' + str(node_colors[i] - 1)
networkx.draw(graph, pos=pos, node_color=node_colors, with_labels=range(len(graph.node)), cmap=plt.cm.Reds, vmin=0, vmax=2)
networkx.draw_networkx_labels(graph, pos, anomaly_lbls)
plt.savefig(name)
def peers_reconnected(p1, p2):
global graph
if p2 in graph[p1]:
print 'Link already exists'
return
graph.add_edge(p1, p2)
draw_graph()
def peers_disconnected(p1, p2):
global graph
print 'Disconnected peers %d and %d' % (p1, p2)
if p2 not in graph[p1]:
print 'Link does not exist'
return
graph.remove_edge(p1, p2)
draw_graph()
def anomaly_report(report):
global node_colors
if 0 == report['anomalous']:
node_colors[report['peer']] = 0
else:
clr = 1 + report['neighbors']
if node_colors[report['peer']] >= clr:
return
node_colors[report['peer']] = clr
draw_graph()
def handle_profiler_line(line):
if not line:
return
print line
if 'Peer disconnection request sent' in line: # Peers disconnected
parts = line.split(':')
peers = parts[-1].split(',')
peers_disconnected(int(peers[0]), int(peers[1]))
return
if 'Anomaly report:' in line:
parts = line.split('Anomaly report:')
anomaly_report(eval(parts[1]))
return
if 'Peer connection request sent' in line: # Peers reconnected
parts = line.split(':')
peers = parts[-1].split(',')
peers_reconnected(int(peers[0]), int(peers[1]))
def run_profiler(peers, topology_file, sensors_interval, anomalous_peers):
cmd1 = "./gnunet-sensor-profiler -p %d -t %s -a %d" % (peers, topology_file, anomalous_peers)
if sensors_interval:
cmd1 += " -i %d" % sensors_interval
cmd2 = "> log 2>&1"
cmd = "%s %s" % (cmd1, cmd2)
print cmd
process = Popen([cmd], shell=True)
time.sleep(0.5)
line = ''
f = open('log')
while process.poll() is None:
for c in f.read():
if not c or c == '\n':
handle_profiler_line(line)
line = ''
else:
line += c
def main():
args = vars(get_args())
num_peers = args['peers']
if num_peers < 3:
print 'Min number of peers is 3'
return
sensors_interval = None
if 'sensors_interval' in args:
sensors_interval = args['sensors_interval']
if 'links' in args:
num_links = args['links']
else:
#num_links = int(math.log(num_peers) * math.log(num_peers) * num_peers / 2)
num_links = int(math.log(num_peers) * num_peers)
# Generate random topology
generate_topology(num_peers, num_links)
print 'Generated random topology with %d peers and %d links' % (num_peers, num_links)
# Create a file with links to cut to split the topology into two
# Create TESTBED topology file
top_file = create_topology_file()
print 'Created TESTBED topology file %s' % top_file
draw_graph()
# Run c profiler
if os.path.isfile('log'):
os.remove('log')
run_profiler(num_peers, top_file, sensors_interval, args['anomalous_peers'])
if __name__ == "__main__":
main()
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