/
get-ips.py
executable file
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/
get-ips.py
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#!/usr/bin/env python
import os
import sys
from lib.Atlas import MeasurementFetch,MeasurementPrint,IPInfoCache
sys.path.append( os.path.dirname(os.path.realpath(__file__) ) )
from libixpcountryjedi import ip2asn,ip2hostname,ICJRun
import requests
import json
import urllib2
import ripe.atlas.sagan
import ipaddress
import re
import concurrent.futures
import threading
from multiprocessing import cpu_count
#import random
from math import radians, cos, sin, asin, sqrt
def haversine(lon1, lat1, lon2, lat2):
"""
Calculate the great circle distance between two points
on the earth (specified in decimal degrees)
"""
# convert decimal degrees to radians
lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2])
# haversine formula
dlon = lon2 - lon1
dlat = lat2 - lat1
a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
c = 2 * asin(sqrt(a))
r = 6371 # Radius of earth in kilometers. Use 3956 for miles
return c * r
ipinfo = {}
counter = 1
run = ICJRun('.')
### read openipmap info, and key by IP
#openipmap = {}
#with open("ips-openipmap.json-fragments") as inf:
# for line in inf:
# d = json.loads( line )
# openipmap[ d['ip'] ] = d
def get_asnmeta( asn ):
meta = {'asn': asn, 'as_name': '<unknown>', 'as_description': '<unknown>', 'as_country': 'XX', 'ips_v4': None, '48s_v6': None}
### find long name and asn-size
## call https://stat.ripe.net/data/as-overview/data.json?resource=%s
## and https://stat.ripe.net/data/routing-status/data.json?resource=%s
name_url = "https://stat.ripe.net/data/as-overview/data.json?resource=AS%s" % ( asn )
size_url = "https://stat.ripe.net/data/routing-status/data.json?resource=AS%s" % ( asn )
MAX_RETRIES=5
nconn = None
nretries = 0
if nconn == None and nretries <= MAX_RETRIES:
try:
nconn = urllib2.urlopen( name_url , timeout=60 )
except:
nretries += 1
if not nconn:
print "URL fetch error on: %s" % (name_url)
else:
try:
ndata = json.load( nconn )
holder = ndata['data']['holder']
name_desc,cc = holder.rsplit(",",1)
nd_list = name_desc.split(" ",1)
name = nd_list[0]
desc = None
if len(nd_list) == 1:
desc = nd_list[0]
else:
desc = nd_list[1]
meta['as_name'] = name
meta['as_description'] = desc
meta['as_country'] = cc
except:
print "asn name extraction failed for %s (%s)" % ( asn, ndata )
sconn = None
sretries = 0
if sconn == None and sretries <= MAX_RETRIES:
try:
sconn = urllib2.urlopen( size_url , timeout=60 )
except:
sretries += 1
if not sconn:
print "URL fetch error on: %s" % (size_url)
else:
try:
sdata = json.load( sconn )
meta['ips_v4'] = sdata['data']['announced_space']['v4']['ips']
meta['48s_v6'] = sdata['data']['announced_space']['v6']['48s']
except:
print "asn size extraction failed for %s (%s)" % ( asn, sdata )
return meta
def main():
iprtt={}
with open('measurementset.json','r') as infile:
msms = json.load( infile )
msm_list = msms['v4'] + msms['v6']
# random.shuffle( msm_list )
count=0
for m in msm_list:
print >>sys.stderr, "(%d/%d) msm gathering, now fetching %s" % ( count, len(msm_list), m )
for data in MeasurementFetch.fetch( m['msm_id'] ):
tr = ripe.atlas.sagan.TracerouteResult( data )
for hop in tr.hops:
for pkt in hop.packets:
ip = pkt.origin
rtt = pkt.rtt
if pkt.arrived_late_by: ## these are 'weird' packets ignore ehm (better would be to filter out pkts with 'edst')
continue
if ip != None:
if not ip in iprtt or iprtt[ ip ]['rtt'] > rtt:
iprtt[ ip ] = {
'rtt': rtt,
'prb_id': tr.probe_id,
'msm_id': tr.measurement_id,
}
count+=1
ips = list( iprtt.keys() )
ips.sort()
ip_count = len( ips )
print >>sys.stderr, "ip gathering finished, now analysing. ip count: %s" % ( ip_count )
outf = open("ips.json-fragments","w")
outf_geoerr = open('geo-err.json-fragments',"w")
no_result_cnt = 0
for ip in ips:
print >>sys.stderr, "attempting %s" % ip
j = None
#if True
have_result = False
try:
out = {'ip': ip, 'lon': None, 'location': '', 'lat': None, 'hostname': "", 'asn': "", 'geo_error': None}
req = requests.get("https://ipmap.ripe.net/api/v1/locate/%s/partials?engines=probeslocation,crowdsourced,ixp" % ip , timeout=25, verify=False )
j = req.json()
j['ip'] = ip
#del( j['meta'] )
#print "%s" % json.dumps( j )
have_result = False
try:
out['hostname'] = ip2hostname( ip )
except:
print >>sys.stderr, "hostname lookup failed for %s" % ip
pass
try:
out['asn'] = ip2asn( ip )
except:
print >>sys.stderr, "asn lookup failed for %s" % ip
pass
if 'partials' in j and len( j['partials'] ) > 0:
for p in j['partials']:
if not have_result and p['engine'] in ('probelocations','crowdsourced','ixp') and len( p['locations'] ) > 0:
#print '# %s' % ( p['locations'][0], )
for loc in p['locations']:
if 'cityNameAscii' in loc:
out['lat'] = loc['latitude']
out['lon'] = loc['longitude']
out['location'] = u"%s,%s" % ( loc['cityNameAscii'], loc['countryCodeAlpha2'] )
# {"ip": "213.19.197.126", "hostname": "infopact-ne.ear3.amsterdam1.level3.net", "lon": null, "location": "", "lat": null, "asn": 3356}
#print u'%s %s "%s"' % ( ip, p['engine'], loc['cityName'], loc['countryCodeAlpha2'] )
have_result = True
# now get the probe lat/lon and compare to ipmap + RTT
if out['lon'] and out['lat']:
prb = run.probes_by_id[ iprtt[ ip ]['prb_id'] ]
geodist = haversine( out['lon'], out['lat'], prb['lon'], prb['lat'] )
rttdist = iprtt[ ip ]['rtt'] * 100
# don't make geo_err judgements when prb-ip distance is under 100km
if geodist < 100 or geodist < rttdist:
out['geo_error'] = False
else:
out['geo_error'] = True
g = out
g['prb_id'] = iprtt[ip]['prb_id']
g['msm_id'] = iprtt[ip]['msm_id']
g['rtt'] = iprtt[ip]['rtt']
g['geo_km'] = geodist
g['rtt_km'] = rttdist
print >>outf_geoerr, json.dumps( g )
## now reset the location, as we don't want it to be used in the real jedi
out['lat'] = None
out['lon'] = None
out['location'] = ''
print >>sys.stderr, "#RTT %s geo_km:%.2f rtt_km:%.2f prb_id:%s rtt:%.2f (%s)" % ( ip, geodist, rttdist, iprtt[ip]['prb_id'], iprtt[ip]['rtt'], out['geo_error'] )
else:
print >>sys.stderr, "#error: no lat/lon in new ipmap?! %s" % ( out )
break
except:
print >>sys.stderr, "#error on json for %s: %s" % (ip, j )
print >>outf, u'%s' % json.dumps( out )
if not have_result:
no_result_cnt += 1
#if 'locations' in j and len( j['locations'] ) > 0:
# do something smart with ipmap
# and write out to ipmap.json-fragments
# RIPEstat API slow/times out on very large ASNs
#asn_info = []
#for asn in asns:
# asnmeta = get_asnmeta( asn )
# print asnmeta
# asn_info.append( asnmeta )
#with open('asns.json','w') as asnf:
# json.dump(asn_info, asnf, indent=4)
main()