def find_probes_in_country(cc):
probes = {}
if cc:
probes = ProbeInfo.query(country_code=cc, is_public=True)
else:
probes = ProbeInfo.query(is_public=True)
'''
asns_v4 = Counter()
asns_v6 = Counter()
for prb_id in probes:
if probes[prb_id]['asn_v4'] != None:
asns_v4[ probes[prb_id]['asn_v4'] ] += 1
if probes[prb_id]['asn_v6'] != None:
asns_v6[ probes[prb_id]['asn_v6'] ] += 1
return asns_v4,asns_v6,probes
'''
return probes
def find_probes_in_country( cc ):
probes = {}
if cc:
probes = ProbeInfo.query(country_code=cc, is_public=True)
else:
probes = ProbeInfo.query(is_public=True)
'''
asns_v4 = Counter()
asns_v6 = Counter()
for prb_id in probes:
if probes[prb_id]['asn_v4'] != None:
asns_v4[ probes[prb_id]['asn_v4'] ] += 1
if probes[prb_id]['asn_v6'] != None:
asns_v6[ probes[prb_id]['asn_v6'] ] += 1
return asns_v4,asns_v6,probes
'''
return probes
def find_probes_in_country(cc, eyeball=False, threshold=90):
probes = {}
base_url = (
'http://data.labs.apnic.net/ipv6-measurement/Economies/{}/{}.asns.json'
)
coverage = 0
if cc:
if eyeball:
url = base_url.format(cc, cc)
eyeball_distribution = json.loads(urllib2.urlopen(url).read())
for asn in eyeball_distribution:
if coverage >= threshold:
break
probes.update(
ProbeInfo.query(country_code=cc,
asn_v4=asn['as'],
is_public=True))
probes.update(
ProbeInfo.query(country_code=cc,
asn_v6=asn['as'],
is_public=True))
coverage += asn['percent']
else:
probes = ProbeInfo.query(country_code=cc, is_public=True)
else:
probes = ProbeInfo.query(is_public=True)
'''
asns_v4 = Counter()
asns_v6 = Counter()
for prb_id in probes:
if probes[prb_id]['asn_v4'] != None:
asns_v4[ probes[prb_id]['asn_v4'] ] += 1
if probes[prb_id]['asn_v6'] != None:
asns_v6[ probes[prb_id]['asn_v6'] ] += 1
return asns_v4,asns_v6,probes
'''
return probes
def countries_with_enough_diversity(min_asn_v4_diversity=2):
cc_probe_diversity = {}
probes = ProbeInfo.query(status=1, is_public=True)
for prb_id in probes:
prb_info = probes[prb_id]
if 'tags' in prb_info and 'system-auto-geoip-country' in prb_info[
'tags']:
continue
else:
cc = prb_info['country_code']
if not cc in cc_probe_diversity:
cc_probe_diversity[cc] = set()
if 'asn_v4' in prb_info and prb_info['asn_v4']:
cc_probe_diversity[cc].add(prb_info['asn_v4'])
diverse_cc = []
for cc in cc_probe_diversity:
if len(cc_probe_diversity[cc]) >= min_asn_v4_diversity:
diverse_cc.append(cc)
return diverse_cc
def do_probe_selection_from_ids(ids):
probes = ProbeInfo.query(id__in=ids, status=1)
return map(_to_probedata, probes.values())
def do_probe_selection_from_tag(tag):
probes = ProbeInfo.query(tags=tag, status=1)
return map(_to_probedata, probes.values())
from Atlas import ProbeInfo
import time
from ripe.atlas.sagan import TracerouteResult
from collections import Counter
import ipaddr
import json
measurements = {
1767679: {'irr':True, 'size':24, 'idx':0},
1767680: {'irr':True, 'size':25, 'idx':1},
1767681: {'irr':True, 'size':28, 'idx':2},
1767682: {'irr':False, 'size':24, 'idx':3},
1767683: {'irr':False, 'size':25, 'idx':4},
1767684: {'irr':False, 'size':28, 'idx':5},
}
probes = ProbeInfo.query()
interval=3600*8 # msm is every 8hrs
msm_start = int( 1412236086 / interval ) * interval
def to_geojson( probes, probe_prop ):
geojson = {
"type": "FeatureCollection",
"features": []
}
for p,props in probe_prop.items():
if p in probes:
lat = probes[ p ]['lat']
lon = probes[ p ]['lon']
geojson['features'].append({
"geometry": {