# TODO REMOVE The Safeguard before running again (dont want to create more unneccessary traceroute on ATLAS) at line 94

# TODO Set the probes_measurement_id to the emasurement containg the probes you want to use

# TODO Change the filename below

probes_measurement_id = 28380424

filename = 'measurements/south_africa_measurements.json'

from datetime import datetime

import json

import os

# Gets the required measuremnt from RIPE ATLAS and creates the initial dictionary file

# info from https://ripe-atlas-cousteau.readthedocs.io/_/downloads/en/latest/pdf/

from ripe.atlas.cousteau import Ping, Traceroute, AtlasSource, AtlasRequest, AtlasCreateRequest, AtlasLatestRequest, Probe, Measurement

# Sagans sole purpose is to make RIPE Atlas measurements manageable from within Python.

# https://ripe-atlas-sagan.readthedocs.io/en/latest/use.html#how-to-use-this-library

# Attributes and Methods at https://ripe-atlas-sagan.readthedocs.io/en/latest/types.html

measurement = Measurement(id=28380424)

from ripe.atlas.sagan import Result, TracerouteResult

# Opensource Geocoder

from geopy.geocoders import Nominatim

geolocator = Nominatim(user_agent="aswindow")

# A Python library to gather IP address details (ASN, prefix, resource holder, reverse DNS) using the RIPEStat API,

# with a basic cache to avoid flood of requests and to enhance performances. https://pypi.org/project/ipdetailscache/

#from pierky.ipdetailscache import IPDetailsCache

#cache = IPDetailsCache()

#cache.UseIXPs()

#r = cache.GetIPInformation( "193.0.6.139" ) # example use

#print (r)

# target_address = "90 Oxford Street, Randburg" # sample target address

# Discover the geo cordinates of the target location

#location = geolocator.geocode(target_address)

#print(location)

#latitude = location.latitude

#longitude = location.longitude

#print ("lat is ", location.latitude)

#print ("lon is ", location.longitude)

ATLAS_API_KEY = ""

traceroute_dict = {} # initialis the measuretments dictionary

measurements_list = [28380424,] # initialise the measurements list

from html_create import Html_Create

# Get a list of the probes to be used, easiset to get list from first measurement which used all probes in South Africa.

for measurement in measurements_list: # Its unlikely I will ever use more than 1 measurement but just in case

m = Measurement(id=measurement) # get metadata for this measurement

kwargs = {

"msm_id": measurement, # my south africa measurement

#"start": datetime(2015, 05, 19), # just testing date filtering

#"stop": datetime(2015, 05, 20), # just testing date filtering

#"probe_ids": [1000070] # the first probe in the measurement

}

is_success, results = AtlasLatestRequest(**kwargs).create()

probes =[]

measurements = []

for probe in results:

probes.append(probe['prb_id'])

# now carry out a traceroute to each probe(target) from every other probe (landmark)

print(results)

for target in results:

target_probe_id = target['prb_id']

probe = Probe(id=target_probe_id)

target_ip = probe.address_v4

t = str(target_ip)

desc = "2 Traceroute to "+ t + " at "+ str(target_probe_id)

print(desc)

# Remove all landmarks that dont have an public IP address.

#target_ip = None # TODO REMOVE This Safeguard before running again (dont want to create more unneccessary traceroute on ATLAS)

if target_ip == None:

continue

traceroute = Traceroute(af = 4, target=target_ip, description=desc, protocol ="ICMP")

source = AtlasSource(requested=66, type="msm", value=probes_measurement_id)

atlas_request = AtlasCreateRequest(

key=ATLAS_API_KEY,

measurements=[traceroute],

sources=[source],

is_oneoff=True)

(is_success, response) = atlas_request.create()

print(desc,is_success,response)

measurements.append(response['measurements'][0])

measurements.append(target_probe_id)

# measurements = ', '.join(map(str, measurements))

# create file of measurement,target_probe_id,......,..........

with open(filename, 'w') as outfile:

json.dump(measurements, outfile)