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#!/usr/bin/python
# -*- coding: utf8 -*-
from BackwardsReader import BackwardsReader
import sys,json
#supernodes= [ "kaah","supernode","euer","pa_sharepoint","oxberg" ]
""" TODO: Refactoring needed to pull the edges out of the node structures again,
it should be easier to handle both structures"""
DUMP_FILE = "/krebs/db/availability"
def write_digraph(nodes):
"""
writes the complete digraph in dot format
"""
print ('digraph retiolum {')
#print (' graph [center rankdir=LR packMode="clust"]')
print (' graph [center packMode="clust"]')
print (' node[shape=circle,style=filled,fillcolor=grey]')
print (' overlap=false')
generate_stats(nodes)
merge_edges(nodes)
nodes = anon_nodes(nodes)
for k,v in nodes.iteritems():
write_node(k,v)
write_stat_node(nodes)
print ('}')
def anon_nodes(nodes):
i = "0"
newnodes = {}
for k,v in nodes.iteritems():
for nodek,node in nodes.iteritems():
for to in node['to']:
if to['name'] == k:
to['name'] = i
newnodes[i] = v
i = str(int(i)+1)
return newnodes
def write_stat_node(nodes):
''' Write a `stats` node in the corner
This node contains infos about the current number of active nodes and connections inside the network
'''
num_conns = 0
num_nodes = len(nodes)
for k,v in nodes.iteritems():
num_conns+= len(v['to'])
node_text = " stats_node [shape=box,label=\"Statistics\\l"
node_text += "Active Nodes: %s\\l" % num_nodes
node_text += "Connections : %s\\l" % num_conns
node_text += "\""
node_text += ",fillcolor=green"
node_text += "]"
print(node_text)
def generate_stats(nodes):
""" Generates some statistics of the network and nodes
"""
for k,v in nodes.iteritems():
conns = v.get('to',[])
for c in conns: #sanitize weights
if float(c['weight']) > 9000: c['weight'] = str(9001)
elif float(c['weight']) < 0: c['weight'] = str(0)
v['num_conns'] = len(conns)
v['avg_weight'] = get_node_avg_weight(conns)
def get_node_avg_weight(conns):
""" calculates the average weight for the given connections """
if not conns:
sys.syderr.write("get_node_avg_weight: connection parameter empty")
return 9001
else:
return sum([float(c['weight']) for c in conns])/len(conns)
def delete_unused_nodes(nodes):
new_nodes = {}
for k,v in nodes.iteritems():
if v['external-ip'] == "(null)":
continue
if v.get('to',[]):
new_nodes[k] = v
for k,v in new_nodes.iteritems():
if not [ i for i in v['to'] if i['name'] in new_nodes]:
#del(new_nodes[k])
del(k)
return new_nodes
def merge_edges(nodes):
""" merge back and forth edges into one
DESTRUCTS the current structure by deleting "connections" in the nodes
"""
for k,v in nodes.iteritems():
for con in v.get('to',[]):
for i,secon in enumerate(nodes.get(con['name'],{}).get('to',[])):
if k == secon['name']:
del (nodes[con['name']]['to'][i])
con['bidirectional'] = True
def write_node(k,v):
""" writes a single node and its edges
edges are weightet with the informations inside the nodes provided by
tinc
"""
node = " "+k #+"[label=\""
#node += k+"\\l"
#node += "avg weight: %.2f\\l" % v['avg_weight']
#if v.has_key('num_conns'):
# node += "Conns:"+str(v['num_conns'])+"\\l"
#node +="\""
#node +=",group=\""+v['external-ip'].replace(".","") + "\""
#node += "]"
print node
for con in v.get('to',[]):
label = con['weight']
w = int(con['weight'])
weight = str(1000 - (((w - 150) * (1000 - 0)) / (1000 -150 )) + 0)
length = str(float(w)/1500)
#weight = "1000" #str(300/float(con['weight']))
#weight = str((100/float(con['weight'])))
#weight = str(-1 * (200-100000/int(con['weight'])))
if float(weight) < 0 :
weight= "1"
#sys.stderr.write(weight + ":"+ length +" %s -> " %k + str(con) + "\n")
edge = " "+k+ " -> " +con['name'] + " [label="+label + " weight="+weight #+ " minlen="+length
if con.get('bidirectional',False):
edge += ",dir=both"
edge += "]"
print edge
def decode_input(FILE):
return json.load(FILE)
nodes = decode_input(sys.stdin)
nodes = delete_unused_nodes(nodes)
write_digraph(nodes)
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