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yggdrasil-map/mapper/makeGraph.py
2014-03-30 15:36:06 +03:00

203 lines
4.5 KiB
Python
Executable File

#!/usr/bin/env python
from conf_sh import *
import sys
sys.path.append(cjdns_path + '/contrib/python/cjdnsadmin/')
import adminTools as admin
from collections import deque
import pygraphviz as pgv
import json
import time
import httplib2
class Node:
def __init__(self, ip):
self.ip = ip
self.version = -1
self.label = ip[-4:]
def __lt__(self, b):
return self.ip < b.ip
class Edge:
def __init__(self, a, b):
self.a, self.b = sorted([a, b])
all_nodes = dict()
all_edges = []
these_nodes = dict()
these_edges = []
def add_node(node):
if not node in all_nodes:
all_nodes[node.ip] = node
if not node in these_nodes:
these_nodes[node.ip] = node
def add_edge(e):
all_edges.append(e)
these_edges.append(e)
def has_edge(a, b):
a, b = sorted([a, b])
for e in these_edges:
if e.a.ip == a and e.b.ip == b:
return True
return False
for port in range(rpc_firstport, rpc_firstport + num_of_nodes):
print port,
these_nodes = dict()
these_edges = []
cjdns = admin.connect(rpc_connect, port, rpc_pw)
root = admin.whoami(cjdns)
rootIP = root['IP']
print rootIP
add_node(Node(rootIP))
nodes = deque()
nodes.append(rootIP)
while len(nodes) != 0:
parentIP = nodes.popleft()
resp = cjdns.NodeStore_nodeForAddr(parentIP)
numLinks = 0
if 'result' in resp:
link = resp['result']
if 'linkCount' in link:
numLinks = int(resp['result']['linkCount'])
all_nodes[parentIP].version = resp['result']['protocolVersion']
for i in range(0, numLinks):
resp = cjdns.NodeStore_getLink(parentIP, i)
childLink = resp['result']
if not 'child' in childLink:
print 'No child'
continue
childIP = childLink['child']
# Check to see if its one hop away from parent node
if childLink['isOneHop'] != 1:
continue
# If its a new node then we want to follow it
if not childIP in these_nodes:
add_node(Node(childIP))
nodes.append(childIP)
# If there is not a link between the nodes we should put one there
if not has_edge(childIP, parentIP):
add_edge(Edge(these_nodes[childIP], these_nodes[parentIP]))
# cjdns.disconnect()
print (len(these_nodes), len(these_edges))
# print 'Number of nodes:', G.number_of_nodes()
# print 'Number of edges:', G.number_of_edges()
print "Total", (len(all_nodes), len(all_edges))
G = pgv.AGraph(strict=True, directed=False, size='10!')
for n in all_nodes.values():
G.add_node(n.ip, label=n.label, version=n.version)
for e in all_edges:
G.add_edge(e.a.ip, e.b.ip, len=1.0)
G.layout(prog='neato', args='-Gepsilon=0.0001 -Gmaxiter=100000') # neato, fdp, dot
max_neighbors = 0
for n in G.iternodes():
neighbors = len(G.neighbors(n))
if neighbors > max_neighbors:
max_neighbors = neighbors
print 'Max neighbors:', max_neighbors
def download_node_names():
print "Downloading names"
page = 'http://[fc5d:baa5:61fc:6ffd:9554:67f0:e290:7535]/nodes/list.json'
ip_dict = dict()
h = httplib2.Http(".cache", timeout=15.0)
try:
r, content = h.request(page, "GET")
nameip = json.loads(content)['nodes']
for node in nameip:
ip_dict[node['ip']] = node['name']
print "Names downloaded"
except Exception as e:
print "Connection to Mikey's nodelist failed, continuing without names", e
return ip_dict
node_names = download_node_names()
def gradient_color(ratio, colors):
jump = 1.0 / (len(colors) - 1)
gap_num = int(ratio / (jump + 0.0000001))
a = colors[gap_num]
b = colors[gap_num + 1]
ratio = (ratio - gap_num * jump) * (len(colors) - 1)
r = a[0] + (b[0] - a[0]) * ratio
g = a[1] + (b[1] - a[1]) * ratio
b = a[2] + (b[2] - a[2]) * ratio
return '#%02x%02x%02x' % (r, g, b)
out_data = {
'created': int(time.time()),
'nodes': [],
'edges': []
}
for n in G.iternodes():
neighbor_ratio = len(G.neighbors(n)) / float(max_neighbors)
pos = n.attr['pos'].split(',', 1)
try:
name = node_names[n.name]
except:
name = n.attr['label']
out_data['nodes'].append({
'id': n.name,
'label': name,
'version': n.attr['version'],
'x': float(pos[0]),
'y': float(pos[1]),
# 'color': gradient_color(neighbor_ratio, [(255,60,20), (23,255,84), (41,187,255)]),
'color': gradient_color(neighbor_ratio, [(100, 100, 100), (0, 0, 0)]),
# 'color': gradient_color(neighbor_ratio, [(255, 255, 255), (255, 0 ,255)]),
'size': neighbor_ratio
})
# '#29BBFF', '#17FF54', '#FFBD0F', '#FF3C14', '#590409'
for e in G.iteredges():
out_data['edges'].append({
'sourceID': e[0],
'targetID': e[1]
})
json_output = json.dumps(out_data)
f = open(graph_output, 'w')
f.write(json_output)
f.close()